Serveur d'exploration MERS

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<title xml:lang="en">Characteristics and outcome of viral pneumonia caused by influenza and Middle East respiratory syndrome-coronavirus infections: A 4-year experience from a tertiary care center</title>
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<name sortKey="Al Baadani, Abeer M" sort="Al Baadani, Abeer M" uniqKey="Al Baadani A" first="Abeer M." last="Al-Baadani">Abeer M. Al-Baadani</name>
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<name sortKey="Elzein, Fatehi E" sort="Elzein, Fatehi E" uniqKey="Elzein F" first="Fatehi E." last="Elzein">Fatehi E. Elzein</name>
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<name sortKey="Alhemyadi, Salwa A" sort="Alhemyadi, Salwa A" uniqKey="Alhemyadi S" first="Salwa A." last="Alhemyadi">Salwa A. Alhemyadi</name>
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<name sortKey="Khan, Osama A" sort="Khan, Osama A" uniqKey="Khan O" first="Osama A." last="Khan">Osama A. Khan</name>
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<name sortKey="Albenmousa, Ali H" sort="Albenmousa, Ali H" uniqKey="Albenmousa A" first="Ali H." last="Albenmousa">Ali H. Albenmousa</name>
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<name sortKey="Idrees, Majdy M" sort="Idrees, Majdy M" uniqKey="Idrees M" first="Majdy M." last="Idrees">Majdy M. Idrees</name>
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<idno type="pmid">31333767</idno>
<idno type="pmc">6611200</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611200</idno>
<idno type="RBID">PMC:6611200</idno>
<idno type="doi">10.4103/atm.ATM_179_18</idno>
<date when="2019">2019</date>
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<title xml:lang="en" level="a" type="main">Characteristics and outcome of viral pneumonia caused by influenza and Middle East respiratory syndrome-coronavirus infections: A 4-year experience from a tertiary care center</title>
<author>
<name sortKey="Al Baadani, Abeer M" sort="Al Baadani, Abeer M" uniqKey="Al Baadani A" first="Abeer M." last="Al-Baadani">Abeer M. Al-Baadani</name>
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<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Elzein, Fatehi E" sort="Elzein, Fatehi E" uniqKey="Elzein F" first="Fatehi E." last="Elzein">Fatehi E. Elzein</name>
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<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Alhemyadi, Salwa A" sort="Alhemyadi, Salwa A" uniqKey="Alhemyadi S" first="Salwa A." last="Alhemyadi">Salwa A. Alhemyadi</name>
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<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Khan, Osama A" sort="Khan, Osama A" uniqKey="Khan O" first="Osama A." last="Khan">Osama A. Khan</name>
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<nlm:aff id="aff1"></nlm:aff>
</affiliation>
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<author>
<name sortKey="Albenmousa, Ali H" sort="Albenmousa, Ali H" uniqKey="Albenmousa A" first="Ali H." last="Albenmousa">Ali H. Albenmousa</name>
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<nlm:aff id="aff1"></nlm:aff>
</affiliation>
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<name sortKey="Idrees, Majdy M" sort="Idrees, Majdy M" uniqKey="Idrees M" first="Majdy M." last="Idrees">Majdy M. Idrees</name>
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<nlm:aff id="aff1"></nlm:aff>
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<series>
<title level="j">Annals of Thoracic Medicine</title>
<idno type="ISSN">1817-1737</idno>
<idno type="eISSN">1998-3557</idno>
<imprint>
<date when="2019">2019</date>
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<div type="abstract" xml:lang="en">
<sec id="st1">
<title>BACKGROUND:</title>
<p>After the emergence of new influenza viruses, the morbidity and mortality of viral pneumonia have received a great attention.</p>
</sec>
<sec id="st2">
<title>OBJECTIVES:</title>
<p>The objective of this study is to describe the epidemiologic, clinical and laboratory changes, and outcomes of viral pneumonia caused by influenza and the Middle East respiratory syndrome-coronavirus (MERS-CoV) infections.</p>
</sec>
<sec id="st3">
<title>METHODS:</title>
<p>In a retrospective cohort study, the medical records of all patients diagnosed with viral pneumonia at Prince Sultan Military Medical City, Riyadh, Saudi Arabia, during the period from January 2012 to December 2015 were screened. Cases who were > 18 years old and were confirmed by a respiratory viral panel to have viral pneumonia either MERS-CoV or influenza viruses were included in the analysis. Sociodemographic, clinical, laboratory, and outcome data were extracted from patients' medical files. The data were analyzed descriptively and inferentially to identify the predictors of poor outcome.</p>
</sec>
<sec id="st4">
<title>RESULTS:</title>
<p>A total of 448 patients with confirmed viral pneumonia were included, of those, 216 (48.2%) were caused by influenza A (non H1N1)/influenza B, 150 (33.5%) by H1N1, and 82 (18.3%) by MERS-CoV. The majority of patients presented with fever (82%), shortness of breath (64%), and flu-like symptoms (54.9%), particularly in MERS-CoV infected cases (92%). The peak incidence of viral pneumonia was in early spring and autumn. The mortality rate was 13.8%, and it was significantly higher among MERS-CoV cases. The predictors of death were age > 65 years, male gender, and associated comorbidities particularly diabetes mellitus, hypertension, and chronic kidney diseases. The number of comorbid illnesses was directly related to the increase in mortality in this group of patients.</p>
</sec>
<sec id="st5">
<title>CONCLUSION:</title>
<p>Viral pneumonia caused by influenza and MERS-CoV carries a high mortality rate, particularly among MERS-CoV infected cases. Old age, male gender, and comorbid illnesses are predictors of poor outcome. Routine testing for newly emergent viruses is warranted for adults who have been hospitalized with pneumonia.</p>
</sec>
</div>
</front>
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<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="File, Tm" uniqKey="File T">TM File</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Galvan, Jm" uniqKey="Galvan J">JM Galván</name>
</author>
<author>
<name sortKey="Rajas, O" uniqKey="Rajas O">O Rajas</name>
</author>
<author>
<name sortKey="Aspa, J" uniqKey="Aspa J">J Aspa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sangil, A" uniqKey="Sangil A">A Sangil</name>
</author>
<author>
<name sortKey="Calbo, E" uniqKey="Calbo E">E Calbo</name>
</author>
<author>
<name sortKey="Robles, A" uniqKey="Robles A">A Robles</name>
</author>
<author>
<name sortKey="Benet, S" uniqKey="Benet S">S Benet</name>
</author>
<author>
<name sortKey="Viladot, Me" uniqKey="Viladot M">ME Viladot</name>
</author>
<author>
<name sortKey="Pascual, V" uniqKey="Pascual V">V Pascual</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Louie, Jk" uniqKey="Louie J">JK Louie</name>
</author>
<author>
<name sortKey="Acosta, M" uniqKey="Acosta M">M Acosta</name>
</author>
<author>
<name sortKey="Winter, K" uniqKey="Winter K">K Winter</name>
</author>
<author>
<name sortKey="Jean, C" uniqKey="Jean C">C Jean</name>
</author>
<author>
<name sortKey="Gavali, S" uniqKey="Gavali S">S Gavali</name>
</author>
<author>
<name sortKey="Schechter, R" uniqKey="Schechter R">R Schechter</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dominguez Cherit, G" uniqKey="Dominguez Cherit G">G Domínguez-Cherit</name>
</author>
<author>
<name sortKey="Lapinsky, Se" uniqKey="Lapinsky S">SE Lapinsky</name>
</author>
<author>
<name sortKey="Macias, Ae" uniqKey="Macias A">AE Macias</name>
</author>
<author>
<name sortKey="Pinto, R" uniqKey="Pinto R">R Pinto</name>
</author>
<author>
<name sortKey="Espinosa Perez, L" uniqKey="Espinosa Perez L">L Espinosa-Perez</name>
</author>
<author>
<name sortKey="De La Torre, A" uniqKey="De La Torre A">A de la Torre</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dawood, Fs" uniqKey="Dawood F">FS Dawood</name>
</author>
<author>
<name sortKey="Jain, S" uniqKey="Jain S">S Jain</name>
</author>
<author>
<name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
<author>
<name sortKey="Shaw, Mw" uniqKey="Shaw M">MW Shaw</name>
</author>
<author>
<name sortKey="Lindstrom, S" uniqKey="Lindstrom S">S Lindstrom</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Almazroa, Ma" uniqKey="Almazroa M">MA AlMazroa</name>
</author>
<author>
<name sortKey="Memish, Za" uniqKey="Memish Z">ZA Memish</name>
</author>
<author>
<name sortKey="Alwadey, Am" uniqKey="Alwadey A">AM AlWadey</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Alraddadi, Bm" uniqKey="Alraddadi B">BM Alraddadi</name>
</author>
<author>
<name sortKey="Watson, Jt" uniqKey="Watson J">JT Watson</name>
</author>
<author>
<name sortKey="Almarashi, A" uniqKey="Almarashi A">A Almarashi</name>
</author>
<author>
<name sortKey="Abedi, Gr" uniqKey="Abedi G">GR Abedi</name>
</author>
<author>
<name sortKey="Turkistani, A" uniqKey="Turkistani A">A Turkistani</name>
</author>
<author>
<name sortKey="Sadran, M" uniqKey="Sadran M">M Sadran</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Assiri, A" uniqKey="Assiri A">A Assiri</name>
</author>
<author>
<name sortKey="Al Tawfiq, Ja" uniqKey="Al Tawfiq J">JA Al-Tawfiq</name>
</author>
<author>
<name sortKey="Al Rabeeah, Aa" uniqKey="Al Rabeeah A">AA Al-Rabeeah</name>
</author>
<author>
<name sortKey="Al Rabiah, Fa" uniqKey="Al Rabiah F">FA Al-Rabiah</name>
</author>
<author>
<name sortKey="Al Hajjar, S" uniqKey="Al Hajjar S">S Al-Hajjar</name>
</author>
<author>
<name sortKey="Al Barrak, A" uniqKey="Al Barrak A">A Al-Barrak</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Balkhy, Hh" uniqKey="Balkhy H">HH Balkhy</name>
</author>
<author>
<name sortKey="Alenazi, Th" uniqKey="Alenazi T">TH Alenazi</name>
</author>
<author>
<name sortKey="Alshamrani, Mm" uniqKey="Alshamrani M">MM Alshamrani</name>
</author>
<author>
<name sortKey="Baffoe Bonnie, H" uniqKey="Baffoe Bonnie H">H Baffoe-Bonnie</name>
</author>
<author>
<name sortKey="Arabi, Y" uniqKey="Arabi Y">Y Arabi</name>
</author>
<author>
<name sortKey="Hijazi, R" uniqKey="Hijazi R">R Hijazi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bialek, Sr" uniqKey="Bialek S">SR Bialek</name>
</author>
<author>
<name sortKey="Allen, D" uniqKey="Allen D">D Allen</name>
</author>
<author>
<name sortKey="Alvarado Ramy, F" uniqKey="Alvarado Ramy F">F Alvarado-Ramy</name>
</author>
<author>
<name sortKey="Arthur, R" uniqKey="Arthur R">R Arthur</name>
</author>
<author>
<name sortKey="Balajee, A" uniqKey="Balajee A">A Balajee</name>
</author>
<author>
<name sortKey="Bell, D" uniqKey="Bell D">D Bell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Delaney, Jw" uniqKey="Delaney J">JW Delaney</name>
</author>
<author>
<name sortKey="Fowler, Ra" uniqKey="Fowler R">RA Fowler</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dee, S" uniqKey="Dee S">S Dee</name>
</author>
<author>
<name sortKey="Jayathissa, S" uniqKey="Jayathissa S">S Jayathissa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Appuhamy, Rd" uniqKey="Appuhamy R">RD Appuhamy</name>
</author>
<author>
<name sortKey="Beard, Fh" uniqKey="Beard F">FH Beard</name>
</author>
<author>
<name sortKey="Phung, Hn" uniqKey="Phung H">HN Phung</name>
</author>
<author>
<name sortKey="Selvey, Ce" uniqKey="Selvey C">CE Selvey</name>
</author>
<author>
<name sortKey="Birrell, Fa" uniqKey="Birrell F">FA Birrell</name>
</author>
<author>
<name sortKey="Culleton, Th" uniqKey="Culleton T">TH Culleton</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lan, Yc" uniqKey="Lan Y">YC Lan</name>
</author>
<author>
<name sortKey="Su, Mc" uniqKey="Su M">MC Su</name>
</author>
<author>
<name sortKey="Chen, Ch" uniqKey="Chen C">CH Chen</name>
</author>
<author>
<name sortKey="Huang, Sh" uniqKey="Huang S">SH Huang</name>
</author>
<author>
<name sortKey="Chen, Wl" uniqKey="Chen W">WL Chen</name>
</author>
<author>
<name sortKey="Tien, N" uniqKey="Tien N">N Tien</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Glezen, Wp" uniqKey="Glezen W">WP Glezen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Serfling, Re" uniqKey="Serfling R">RE Serfling</name>
</author>
<author>
<name sortKey="Sherman, Il" uniqKey="Sherman I">IL Sherman</name>
</author>
<author>
<name sortKey="Houseworth, Wj" uniqKey="Houseworth W">WJ Houseworth</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Alsahafi, Aj" uniqKey="Alsahafi A">AJ Alsahafi</name>
</author>
<author>
<name sortKey="Cheng, Ac" uniqKey="Cheng A">AC Cheng</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ruuskanen, O" uniqKey="Ruuskanen O">O Ruuskanen</name>
</author>
<author>
<name sortKey="Lahti, E" uniqKey="Lahti E">E Lahti</name>
</author>
<author>
<name sortKey="Jennings, Lc" uniqKey="Jennings L">LC Jennings</name>
</author>
<author>
<name sortKey="Murdoch, Dr" uniqKey="Murdoch D">DR Murdoch</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Garcia Garcia, Ml" uniqKey="Garcia Garcia M">ML García-García</name>
</author>
<author>
<name sortKey="Calvo, C" uniqKey="Calvo C">C Calvo</name>
</author>
<author>
<name sortKey="Pozo, F" uniqKey="Pozo F">F Pozo</name>
</author>
<author>
<name sortKey="Villadangos, Pa" uniqKey="Villadangos P">PA Villadangos</name>
</author>
<author>
<name sortKey="Perez Bre A, P" uniqKey="Perez Bre A P">P Pérez-Breña</name>
</author>
<author>
<name sortKey="Casas, I" uniqKey="Casas I">I Casas</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Johnstone, J" uniqKey="Johnstone J">J Johnstone</name>
</author>
<author>
<name sortKey="Majumdar, Sr" uniqKey="Majumdar S">SR Majumdar</name>
</author>
<author>
<name sortKey="Fox, Jd" uniqKey="Fox J">JD Fox</name>
</author>
<author>
<name sortKey="Marrie, Tj" uniqKey="Marrie T">TJ Marrie</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sizun, J" uniqKey="Sizun J">J Sizun</name>
</author>
<author>
<name sortKey="Yu, Mw" uniqKey="Yu M">MW Yu</name>
</author>
<author>
<name sortKey="Talbot, Pj" uniqKey="Talbot P">PJ Talbot</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rabenau, Hf" uniqKey="Rabenau H">HF Rabenau</name>
</author>
<author>
<name sortKey="Cinatl, J" uniqKey="Cinatl J">J Cinatl</name>
</author>
<author>
<name sortKey="Morgenstern, B" uniqKey="Morgenstern B">B Morgenstern</name>
</author>
<author>
<name sortKey="Bauer, G" uniqKey="Bauer G">G Bauer</name>
</author>
<author>
<name sortKey="Preiser, W" uniqKey="Preiser W">W Preiser</name>
</author>
<author>
<name sortKey="Doerr, Hw" uniqKey="Doerr H">HW Doerr</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Saad, M" uniqKey="Saad M">M Saad</name>
</author>
<author>
<name sortKey="Omrani, As" uniqKey="Omrani A">AS Omrani</name>
</author>
<author>
<name sortKey="Baig, K" uniqKey="Baig K">K Baig</name>
</author>
<author>
<name sortKey="Bahloul, A" uniqKey="Bahloul A">A Bahloul</name>
</author>
<author>
<name sortKey="Elzein, F" uniqKey="Elzein F">F Elzein</name>
</author>
<author>
<name sortKey="Matin, Ma" uniqKey="Matin M">MA Matin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Shalhoub, S" uniqKey="Shalhoub S">S Shalhoub</name>
</author>
<author>
<name sortKey="Farahat, F" uniqKey="Farahat F">F Farahat</name>
</author>
<author>
<name sortKey="Al Jiffri, A" uniqKey="Al Jiffri A">A Al-Jiffri</name>
</author>
<author>
<name sortKey="Simhairi, R" uniqKey="Simhairi R">R Simhairi</name>
</author>
<author>
<name sortKey="Shamma, O" uniqKey="Shamma O">O Shamma</name>
</author>
<author>
<name sortKey="Siddiqi, N" uniqKey="Siddiqi N">N Siddiqi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Alraddadi, B" uniqKey="Alraddadi B">B Alraddadi</name>
</author>
<author>
<name sortKey="Bawareth, N" uniqKey="Bawareth N">N Bawareth</name>
</author>
<author>
<name sortKey="Omar, H" uniqKey="Omar H">H Omar</name>
</author>
<author>
<name sortKey="Alsalmi, H" uniqKey="Alsalmi H">H Alsalmi</name>
</author>
<author>
<name sortKey="Alshukairi, A" uniqKey="Alshukairi A">A Alshukairi</name>
</author>
<author>
<name sortKey="Qushmaq, I" uniqKey="Qushmaq I">I Qushmaq</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Badawi, A" uniqKey="Badawi A">A Badawi</name>
</author>
<author>
<name sortKey="Ryoo, Sg" uniqKey="Ryoo S">SG Ryoo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mertz, D" uniqKey="Mertz D">D Mertz</name>
</author>
<author>
<name sortKey="Kim, Th" uniqKey="Kim T">TH Kim</name>
</author>
<author>
<name sortKey="Johnstone, J" uniqKey="Johnstone J">J Johnstone</name>
</author>
<author>
<name sortKey="Lam, Pp" uniqKey="Lam P">PP Lam</name>
</author>
<author>
<name sortKey="Science, M" uniqKey="Science M">M Science</name>
</author>
<author>
<name sortKey="Kuster, Sp" uniqKey="Kuster S">SP Kuster</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bisno, Al" uniqKey="Bisno A">AL Bisno</name>
</author>
<author>
<name sortKey="Griffin, Jp" uniqKey="Griffin J">JP Griffin</name>
</author>
<author>
<name sortKey="Van Epps, Ka" uniqKey="Van Epps K">KA Van Epps</name>
</author>
<author>
<name sortKey="Niell, Hb" uniqKey="Niell H">HB Niell</name>
</author>
<author>
<name sortKey="Rytel, Mw" uniqKey="Rytel M">MW Rytel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nichol, Kl" uniqKey="Nichol K">KL Nichol</name>
</author>
<author>
<name sortKey="Wuorenma, J" uniqKey="Wuorenma J">J Wuorenma</name>
</author>
<author>
<name sortKey="Von Sternberg, T" uniqKey="Von Sternberg T">T von Sternberg</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Ann Thorac Med</journal-id>
<journal-id journal-id-type="iso-abbrev">Ann Thorac Med</journal-id>
<journal-id journal-id-type="publisher-id">ATM</journal-id>
<journal-title-group>
<journal-title>Annals of Thoracic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1817-1737</issn>
<issn pub-type="epub">1998-3557</issn>
<publisher>
<publisher-name>Wolters Kluwer - Medknow</publisher-name>
<publisher-loc>India</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">31333767</article-id>
<article-id pub-id-type="pmc">6611200</article-id>
<article-id pub-id-type="publisher-id">ATM-14-179</article-id>
<article-id pub-id-type="doi">10.4103/atm.ATM_179_18</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Characteristics and outcome of viral pneumonia caused by influenza and Middle East respiratory syndrome-coronavirus infections: A 4-year experience from a tertiary care center</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Al-Baadani</surname>
<given-names>Abeer M.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Elzein</surname>
<given-names>Fatehi E.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alhemyadi</surname>
<given-names>Salwa A.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Osama A.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Albenmousa</surname>
<given-names>Ali H.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Idrees</surname>
<given-names>Majdy M.</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
<xref ref-type="corresp" rid="cor1"></xref>
</contrib>
</contrib-group>
<aff id="aff1">
<italic>Department of Medicine, Prince Sultan Military Medical City, Riyadh, Saudi Arabia</italic>
</aff>
<author-notes>
<corresp id="cor1">
<bold>Address for correspondence:</bold>
Dr. Majdy M. Idrees, Department of Medicine, Prince Sultan Military Medical City, Riyadh, Saudi Arabia. E-mail:
<email xlink:href="majidrees@gmail.com">majidrees@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<season>Jul-Sep</season>
<year>2019</year>
</pub-date>
<volume>14</volume>
<issue>3</issue>
<fpage>179</fpage>
<lpage>185</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>6</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>10</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: © 2019 Annals of Thoracic Medicine</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/4.0">
<license-p>This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>BACKGROUND:</title>
<p>After the emergence of new influenza viruses, the morbidity and mortality of viral pneumonia have received a great attention.</p>
</sec>
<sec id="st2">
<title>OBJECTIVES:</title>
<p>The objective of this study is to describe the epidemiologic, clinical and laboratory changes, and outcomes of viral pneumonia caused by influenza and the Middle East respiratory syndrome-coronavirus (MERS-CoV) infections.</p>
</sec>
<sec id="st3">
<title>METHODS:</title>
<p>In a retrospective cohort study, the medical records of all patients diagnosed with viral pneumonia at Prince Sultan Military Medical City, Riyadh, Saudi Arabia, during the period from January 2012 to December 2015 were screened. Cases who were > 18 years old and were confirmed by a respiratory viral panel to have viral pneumonia either MERS-CoV or influenza viruses were included in the analysis. Sociodemographic, clinical, laboratory, and outcome data were extracted from patients' medical files. The data were analyzed descriptively and inferentially to identify the predictors of poor outcome.</p>
</sec>
<sec id="st4">
<title>RESULTS:</title>
<p>A total of 448 patients with confirmed viral pneumonia were included, of those, 216 (48.2%) were caused by influenza A (non H1N1)/influenza B, 150 (33.5%) by H1N1, and 82 (18.3%) by MERS-CoV. The majority of patients presented with fever (82%), shortness of breath (64%), and flu-like symptoms (54.9%), particularly in MERS-CoV infected cases (92%). The peak incidence of viral pneumonia was in early spring and autumn. The mortality rate was 13.8%, and it was significantly higher among MERS-CoV cases. The predictors of death were age > 65 years, male gender, and associated comorbidities particularly diabetes mellitus, hypertension, and chronic kidney diseases. The number of comorbid illnesses was directly related to the increase in mortality in this group of patients.</p>
</sec>
<sec id="st5">
<title>CONCLUSION:</title>
<p>Viral pneumonia caused by influenza and MERS-CoV carries a high mortality rate, particularly among MERS-CoV infected cases. Old age, male gender, and comorbid illnesses are predictors of poor outcome. Routine testing for newly emergent viruses is warranted for adults who have been hospitalized with pneumonia.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Viral pneumonia</kwd>
<kwd>Middle East respiratory syndrome-coronavirus</kwd>
<kwd>influenza</kwd>
<kwd>H1N1</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<p>Pneumonia is a leading cause of hospitalization worldwide and carries significant morbidity and mortality that differ according to the underlying etiology.[
<xref rid="ref1" ref-type="bibr">1</xref>
] In general, viral pneumonia is considered less severe compared to bacterial pneumonia.[
<xref rid="ref2" ref-type="bibr">2</xref>
] In the past decade, however, the mortality related to viral pneumonia has substantially increased because of the emergence of the new respiratory viruses such as influenza A H1N1 and the Middle East respiratory syndrome-coronavirus (MERS-CoV).[
<xref rid="ref3" ref-type="bibr">3</xref>
] Moreover, high mortality was reported in previously healthy middle-aged patients during influenza A H1N1 pandemic infection in 2009.[
<xref rid="ref4" ref-type="bibr">4</xref>
] Reports from the southern hemisphere countries suggested that the hospitalization rates secondary to influenza A H1N1 ranged from 23.6% to 30.6%; among them, 11.7% to 18.5% were admitted to the Intensive Care Units (ICUs) with mortality rate ranged from 16% to 41%.[
<xref rid="ref5" ref-type="bibr">5</xref>
] Noteworthy, according to the last update from the center for diseases control (CDC) on February 2014, pneumonia and influenza were the cause of death in 8.4% of all deaths in the United States, of which 34% occurred in persons aged ≥65 years, 62% in persons aged 25–64 years, and 4% in persons younger than 24 years old.[
<xref rid="ref6" ref-type="bibr">6</xref>
]</p>
<p>Data from Saudi Arabia have suggested comparable results to other countries, such as Europe, North America, and Japan regarding the young age predilection of influenza A H1N1.[
<xref rid="ref7" ref-type="bibr">7</xref>
<xref rid="ref8" ref-type="bibr">8</xref>
] A Saudi report on the first 100 cases of pandemic influenza A H1N1 described that most of the patients were younger than 40 years and the hospitalization rate among them was as high as 10%. Most of these patients had underlying conditions such as cardiovascular disease, respiratory diseases, autoimmune disorders, obesity, diabetes, cancer, or pregnancy.[
<xref rid="ref9" ref-type="bibr">9</xref>
] The clinical presentation varied from asymptomatic cases to viral pneumonia resulting in respiratory failure, acute respiratory distress syndrome, multiorgan failure, or death. Interestingly, gastrointestinal symptoms including diarrhea and vomiting accounted for up to 50% of clinical presentation.[
<xref rid="ref10" ref-type="bibr">10</xref>
]</p>
<p>As of July 2017, the World Health Organization (WHO) had received reports from 27 countries of 2040 cases of laboratory-confirmed MERS and at least 677 related deaths representing case fatality of 35%.[
<xref rid="ref11" ref-type="bibr">11</xref>
] The course of the disease has been described to vary from asymptomatic viral illness to dramatically fatal respiratory failure and ARDS. Gastrointestinal and renal involvement have also been reported in one-third and one-half of the cases, respectively.[
<xref rid="ref12" ref-type="bibr">12</xref>
] In Saudi Arabia, MERS-CoV virus was first reported in 2012, and between September 1, 2012, and June 15, 2013, there have been 47 laboratory-confirmed cases (46 adults and one child) with a fatality rate of 60%[
<xref rid="ref13" ref-type="bibr">13</xref>
] Assiri
<italic>et al</italic>
., had reported the epidemiological characteristics of the MERS-CoV in Saudi Arabia either as a community cases running in clusters within the families or among healthcare workers with or without direct camel contacts.[
<xref rid="ref13" ref-type="bibr">13</xref>
] During June–August, 2015, a second MERS-CoV outbreak occurred with a total of 130 MERS-CoV cases detected. Overall, 96 patients (74%) required hospitalization, of them 63 (66%) required intensive care management, and the fatality rate was 53%.[
<xref rid="ref14" ref-type="bibr">14</xref>
]</p>
<p>The available studies describing the clinical features and the outcome of influenza H1N1 and MERS-CoV are limited by small sample size or a short follow-up duration.</p>
<p>The present study aimed to describe the clinical and laboratory characteristic of patients presented with viral pneumonia secondary to influenza A/H1N1, influenza A/non-H1N1, influenza B, and MERS-CoV to Prince Sultan Military Medical City (PSMMC) and their disease outcomes over a 4-year period.</p>
<sec sec-type="methods" id="sec1-2">
<title>Methods</title>
<p>A retrospective analysis of a cohort of viral pneumonia cases presented to PSMMC between January 2012 and December 2015 was done. PSMMC is a tertiary health care center, with more than 1500 beds, in Riyadh, the capital city of Saudi Arabia. The patients were included if they had positive respiratory virus panel for MERS-CoV or influenza and pneumonia defined as acute respiratory illness and compatible chest X-ray findings at presentation or within 48 h of admission.</p>
<p>The study included adult patients over 18 years of age whether managed as in- or out-patients.</p>
<p>Data were collected from patients' hospital records and microbiology department. The specimens of both upper (nasopharyngeal, oropharyngeal swabs, and sputum) and lower respiratory tract (tracheal aspirates and bronchoalveolar lavage) were tested by molecular testing GenXpert (Cepheid) for the respiratory viruses including influenza A/H1N1, Influenza A/non-H1N1, influenza B and MERS-CoV.</p>
<p>Demographic data, symptoms, and signs at presentation, biochemical and radiological results, site of care, hospital stay, and overall outcome were also recorded. Descriptive epidemiology was performed to depict the epidemic curve (number of cases vs. time of diagnosis) and to assess the case fatality rate according to age group. Approval was granted from PSMMC Institutional Research Board (IRB).</p>
<p>The statistical analysis was performed using SPSS software, version 22.0, for Windows (SPSS, Inc., Chicago, IL, USA). Categorical variables were presented as frequencies and percentages while continuous variables were presented as mean and standard deviation. Comparison patients' baseline and clinical characteristics of viral pneumonia groups were done using Chi-square test and ANOVA analysis as appropriate. Univariate logistic regression was also performed to examine factors that are associated with mortality with the level of statistical significance being set at <0.05.</p>
</sec>
<sec sec-type="results" id="sec1-3">
<title>Results</title>
<p>A total of 448 confirmed viral pneumonia patients were included in the analysis. Of those, 216 (48.2%) cases were infected with influenza A non-H1N1/influenza B, 150 (33.5%) with H1N1, and 82 (18.3%) with MERS-CoV. The baseline characteristics of the studied patients are presented in
<xref rid="T1" ref-type="table">Table 1</xref>
. The mean age of the studied cohort was 55.7 ± 22.1 years, and it was significantly higher among cases infected with MERS CoV (61.6 ± 21.0) and Influenza A non-H1N1/influenza B (56.5 ± 23.1) (
<italic>P</italic>
= 0.002). Two hundred thirty-five patients (52.5%) were male, and 35 (16.4%) of the female patients were pregnant at the time of infection. Cough and fever were the most prevalent symptoms (84.4 and 82% respectively). Flue-like illness was common among MERS-CoV (92%) and H1N1 (63.3%) infected cases. Diabetes mellitus and hypertension were found in nearly half of the studied cases (47.1% for DM and 52.3% for hypertension), and they were more prevalent in cases with H1N1 and MERS-CoV.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Baseline patient’s characteristics</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Characteristics*</th>
<th align="center" rowspan="1" colspan="1">All cases (
<italic>n</italic>
=448)</th>
<th align="center" rowspan="1" colspan="1">Influenza A (non-H1N1)/B (
<italic>n</italic>
=216)</th>
<th align="center" rowspan="1" colspan="1">H1N1 (
<italic>n</italic>
=150)</th>
<th align="center" rowspan="1" colspan="1">MERS-CoV (
<italic>n</italic>
=82)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age (years)</td>
<td align="center" rowspan="1" colspan="1">55.7±22.1</td>
<td align="center" rowspan="1" colspan="1">56.5±23.1</td>
<td align="center" rowspan="1" colspan="1">51.4±20.2</td>
<td align="center" rowspan="1" colspan="1">61.6±21.0</td>
<td align="center" rowspan="1" colspan="1">0.002</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sex</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Male</td>
<td align="center" rowspan="1" colspan="1">235 (52.5)</td>
<td align="center" rowspan="1" colspan="1">105 (48.6)</td>
<td align="center" rowspan="1" colspan="1">77 (51.3)</td>
<td align="center" rowspan="1" colspan="1">53 (64.6)</td>
<td align="center" rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Female</td>
<td align="center" rowspan="1" colspan="1">213 (47.5)</td>
<td align="center" rowspan="1" colspan="1">111 (51.4)</td>
<td align="center" rowspan="1" colspan="1">73 (48.7)</td>
<td align="center" rowspan="1" colspan="1">29 (35.4)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pregnancy**</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Yes</td>
<td align="center" rowspan="1" colspan="1">35 (16.4)</td>
<td align="center" rowspan="1" colspan="1">19 (17.1)</td>
<td align="center" rowspan="1" colspan="1">14 (19.1)</td>
<td align="center" rowspan="1" colspan="1">2 (6.8)</td>
<td align="center" rowspan="1" colspan="1">0.16</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> No</td>
<td align="center" rowspan="1" colspan="1">178 (83.6)</td>
<td align="center" rowspan="1" colspan="1">92 (82.9)</td>
<td align="center" rowspan="1" colspan="1">59 (80.9)</td>
<td align="center" rowspan="1" colspan="1">27 (93.2)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Year of infection</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2012</td>
<td align="center" rowspan="1" colspan="1">77 (17.2)</td>
<td align="center" rowspan="1" colspan="1">40 (18.51)</td>
<td align="center" rowspan="1" colspan="1">36 (24)</td>
<td align="center" rowspan="1" colspan="1">1 (1.21)</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2013</td>
<td align="center" rowspan="1" colspan="1">78 (17.4)</td>
<td align="center" rowspan="1" colspan="1">57 (26.3)</td>
<td align="center" rowspan="1" colspan="1">7 (4.66)</td>
<td align="center" rowspan="1" colspan="1">14 (17.07)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2014</td>
<td align="center" rowspan="1" colspan="1">114 (25.4)</td>
<td align="center" rowspan="1" colspan="1">54 (25)</td>
<td align="center" rowspan="1" colspan="1">24 (16.0)</td>
<td align="center" rowspan="1" colspan="1">36 (43.90)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2015</td>
<td align="center" rowspan="1" colspan="1">179 (40.0)</td>
<td align="center" rowspan="1" colspan="1">65 (30)</td>
<td align="center" rowspan="1" colspan="1">83 (55.3)</td>
<td align="center" rowspan="1" colspan="1">31 (37.80)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Symptoms</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Cough</td>
<td align="center" rowspan="1" colspan="1">357 (84.4)</td>
<td align="center" rowspan="1" colspan="1">174 (80.5)</td>
<td align="center" rowspan="1" colspan="1">129 (59.7)</td>
<td align="center" rowspan="1" colspan="1">54 (65.9)</td>
<td align="center" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hypoxia</td>
<td align="center" rowspan="1" colspan="1">63 (15.1)</td>
<td align="center" rowspan="1" colspan="1">22 (10.2)</td>
<td align="center" rowspan="1" colspan="1">24 (16)</td>
<td align="center" rowspan="1" colspan="1">17 (20.7)</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> GI</td>
<td align="center" rowspan="1" colspan="1">48 (13.5)</td>
<td align="center" rowspan="1" colspan="1">28 (12.9)</td>
<td align="center" rowspan="1" colspan="1">14 (9.3)</td>
<td align="center" rowspan="1" colspan="1">6 (7.3)</td>
<td align="center" rowspan="1" colspan="1">0.29</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Neurological</td>
<td align="center" rowspan="1" colspan="1">37 (10.4)</td>
<td align="center" rowspan="1" colspan="1">22 (10.2)</td>
<td align="center" rowspan="1" colspan="1">11 (7.3)</td>
<td align="center" rowspan="1" colspan="1">4 (4.9)</td>
<td align="center" rowspan="1" colspan="1">0.29</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fatigue</td>
<td align="center" rowspan="1" colspan="1">25 (7.0)</td>
<td align="center" rowspan="1" colspan="1">11 (5.1)</td>
<td align="center" rowspan="1" colspan="1">7 (4.7)</td>
<td align="center" rowspan="1" colspan="1">7 (8.5)</td>
<td align="center" rowspan="1" colspan="1">0.31</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Flu symptoms</td>
<td align="center" rowspan="1" colspan="1">246 (54.9)</td>
<td align="center" rowspan="1" colspan="1">116 (53.7)</td>
<td align="center" rowspan="1" colspan="1">95 (63.3)</td>
<td align="center" rowspan="1" colspan="1">76 (92.0)</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Chest pain</td>
<td align="center" rowspan="1" colspan="1">65 (15.4)</td>
<td align="center" rowspan="1" colspan="1">29 (13.4)</td>
<td align="center" rowspan="1" colspan="1">24 (16.0)</td>
<td align="center" rowspan="1" colspan="1">12 (14.6)</td>
<td align="center" rowspan="1" colspan="1">0.80</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> SOB</td>
<td align="center" rowspan="1" colspan="1">287 (64.0)</td>
<td align="center" rowspan="1" colspan="1">132 (61.1)</td>
<td align="center" rowspan="1" colspan="1">107 (71.3)</td>
<td align="center" rowspan="1" colspan="1">48 (58.5)</td>
<td align="center" rowspan="1" colspan="1">0.14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fever</td>
<td align="center" rowspan="1" colspan="1">369 (82.0)</td>
<td align="center" rowspan="1" colspan="1">179 (82.9)</td>
<td align="center" rowspan="1" colspan="1">131 (87.3)</td>
<td align="center" rowspan="1" colspan="1">59 (71.9)</td>
<td align="center" rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Associated diseases</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> DM</td>
<td align="center" rowspan="1" colspan="1">194 (47.1)</td>
<td align="center" rowspan="1" colspan="1">93 (43.1)</td>
<td align="center" rowspan="1" colspan="1">56 (37.3)</td>
<td align="center" rowspan="1" colspan="1">5 (54.9)</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hypothyroidism</td>
<td align="center" rowspan="1" colspan="1">18 (7.0)</td>
<td align="center" rowspan="1" colspan="1">10 (4.6)</td>
<td align="center" rowspan="1" colspan="1">5 (3.3)</td>
<td align="center" rowspan="1" colspan="1">3 (3.7)</td>
<td align="center" rowspan="1" colspan="1">0.60</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> HTN</td>
<td align="center" rowspan="1" colspan="1">214 (52.3)</td>
<td align="center" rowspan="1" colspan="1">101 (46.8)</td>
<td align="center" rowspan="1" colspan="1">65 (43.3)</td>
<td align="center" rowspan="1" colspan="1">48 (58.5)</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Dialysis</td>
<td align="center" rowspan="1" colspan="1">36 (8.8)</td>
<td align="center" rowspan="1" colspan="1">13 (6.0)</td>
<td align="center" rowspan="1" colspan="1">11 (7.3)</td>
<td align="center" rowspan="1" colspan="1">12 (14.6)</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> CKD</td>
<td align="center" rowspan="1" colspan="1">64 (15.9)</td>
<td align="center" rowspan="1" colspan="1">21 (9.7)</td>
<td align="center" rowspan="1" colspan="1">25 (16.7)</td>
<td align="center" rowspan="1" colspan="1">18 (21.9)</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Chronic lung disease</td>
<td align="center" rowspan="1" colspan="1">86 (19.2)</td>
<td align="center" rowspan="1" colspan="1">53 (24.5)</td>
<td align="center" rowspan="1" colspan="1">26 (12.0)</td>
<td align="center" rowspan="1" colspan="1">7 (8.5)</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Bed bound</td>
<td align="center" rowspan="1" colspan="1">46 (11.2)</td>
<td align="center" rowspan="1" colspan="1">23 (10.6)</td>
<td align="center" rowspan="1" colspan="1">8 (3.7)</td>
<td align="center" rowspan="1" colspan="1">15 (18.3)</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> HF</td>
<td align="center" rowspan="1" colspan="1">44 (10.9)</td>
<td align="center" rowspan="1" colspan="1">22 (10.2)</td>
<td align="center" rowspan="1" colspan="1">10 (6.7)</td>
<td align="center" rowspan="1" colspan="1">12 (14.6)</td>
<td align="center" rowspan="1" colspan="1">0.07</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Transplant</td>
<td align="center" rowspan="1" colspan="1">10 (2.4)</td>
<td align="center" rowspan="1" colspan="1">4 (1.9)</td>
<td align="center" rowspan="1" colspan="1">5 (3.3)</td>
<td align="center" rowspan="1" colspan="1">1 (1.2)</td>
<td align="center" rowspan="1" colspan="1">0.57</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Stroke</td>
<td align="center" rowspan="1" colspan="1">32 (13.1)</td>
<td align="center" rowspan="1" colspan="1">17 (7.9)</td>
<td align="center" rowspan="1" colspan="1">7 (4.7)</td>
<td align="center" rowspan="1" colspan="1">8 (9.8)</td>
<td align="center" rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Liver disease</td>
<td align="center" rowspan="1" colspan="1">15 (6.1)</td>
<td align="center" rowspan="1" colspan="1">7 (3.2)</td>
<td align="center" rowspan="1" colspan="1">6 (4.0)</td>
<td align="center" rowspan="1" colspan="1">2 (2.4)</td>
<td align="center" rowspan="1" colspan="1">0.48</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Cancer</td>
<td align="center" rowspan="1" colspan="1">18 (4.4)</td>
<td align="center" rowspan="1" colspan="1">10 (4.6)</td>
<td align="center" rowspan="1" colspan="1">4 (2.7)</td>
<td align="center" rowspan="1" colspan="1">4 (4.9)</td>
<td align="center" rowspan="1" colspan="1">0.78</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Data are presented by mean±SD or by
<italic>n</italic>
(%), **Data presented for female cases (
<italic>n</italic>
=213). GI=Gastrointestinal, SOB=Shortness of breath, DM=Diabetes mellitus, HTN=Hypertension, CKD=Chronic kidney disease, SD=Standard deviation, HF=Heart failure, MERS-CoV=Middle east respiratory syndrome-corona virus</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The incidence of viral pneumonia was highest between October and December followed by January–March [
<xref ref-type="fig" rid="F1">Figure 1</xref>
]. The frequency of the causative virus has varied over the study years where the predominant virus was influenza A non-H1N1 in 2014, H1N1 in 2015, and MERS-Cov in 2014 and 2015.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>Epidemic curve (frequency of cases to time) of the studied viral pneumonia cases by year of diagnosis and their associated influenza and the Middle East respiratory syndrome-coronavirus infection, Riyadh, KSA, from June, 2012 to October, 2015 (total: 448 cases)</p>
</caption>
<graphic xlink:href="ATM-14-179-g001"></graphic>
</fig>
<p>About two-thirds of the patients were treated in the general ward while 57 patients (13.3%) required admission to ICU; of them, 23 (40.3%) were cases associated with MERS-CoV. The distribution of CURB scores varied significantly based on the causative virus. A large proportion of patients had bilateral lung findings on chest X-ray, which was more frequent among MERS-CoV (94.1%) and H1N1 (86.7%) cases, although the difference was not statistically significant (
<italic>P</italic>
= 0.25) [
<xref rid="T2" ref-type="table">Table 2</xref>
].</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Clinical indicators of viral pneumonia cases according to causative virus</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1"></th>
<th align="center" rowspan="1" colspan="1">All cases (
<italic>n</italic>
=448)</th>
<th align="center" rowspan="1" colspan="1">Influenza A/B (
<italic>n</italic>
=216)</th>
<th align="center" rowspan="1" colspan="1">H1N1 (
<italic>n</italic>
=150)</th>
<th align="center" rowspan="1" colspan="1">MERS-CoV (
<italic>n</italic>
=82)</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Site of care*</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Ward</td>
<td align="center" rowspan="1" colspan="1">282 (62.9)</td>
<td align="center" rowspan="1" colspan="1">134 (62.0)</td>
<td align="center" rowspan="1" colspan="1">101 (67.3)</td>
<td align="center" rowspan="1" colspan="1">47 (57.3)</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ER</td>
<td align="center" rowspan="1" colspan="1">72 (16.1)</td>
<td align="center" rowspan="1" colspan="1">43 (19.9)</td>
<td align="center" rowspan="1" colspan="1">27 (18.0)</td>
<td align="center" rowspan="1" colspan="1">2 (2.4)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ICU</td>
<td align="center" rowspan="1" colspan="1">57 (12.7)</td>
<td align="center" rowspan="1" colspan="1">19 (8.8)</td>
<td align="center" rowspan="1" colspan="1">15 (10.0)</td>
<td align="center" rowspan="1" colspan="1">23 (28.0)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> OPD</td>
<td align="center" rowspan="1" colspan="1">16 (3.6)</td>
<td align="center" rowspan="1" colspan="1">10 (4.6)</td>
<td align="center" rowspan="1" colspan="1">4 (2.7)</td>
<td align="center" rowspan="1" colspan="1">2 (2.4)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Not reported</td>
<td align="center" rowspan="1" colspan="1">21 (4.7)</td>
<td align="center" rowspan="1" colspan="1">10 (4.6)</td>
<td align="center" rowspan="1" colspan="1">3 (2)</td>
<td align="center" rowspan="1" colspan="1">8 (9.8)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CURB65</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 0</td>
<td align="center" rowspan="1" colspan="1">190 (42.4)</td>
<td align="center" rowspan="1" colspan="1">92 (42.6)</td>
<td align="center" rowspan="1" colspan="1">78 (52.0)</td>
<td align="center" rowspan="1" colspan="1">20 (24.4)</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 1</td>
<td align="center" rowspan="1" colspan="1">117 (26.1)</td>
<td align="center" rowspan="1" colspan="1">61 (28.2)</td>
<td align="center" rowspan="1" colspan="1">38 (25.3)</td>
<td align="center" rowspan="1" colspan="1">18 (21.9)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2</td>
<td align="center" rowspan="1" colspan="1">60 (13.4)</td>
<td align="center" rowspan="1" colspan="1">33 (15.3)</td>
<td align="center" rowspan="1" colspan="1">11 (7.3)</td>
<td align="center" rowspan="1" colspan="1">14 (17.1)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 3</td>
<td align="center" rowspan="1" colspan="1">36 (8.0)</td>
<td align="center" rowspan="1" colspan="1">13 (6.0)</td>
<td align="center" rowspan="1" colspan="1">11 (7.3)</td>
<td align="center" rowspan="1" colspan="1">12 (14.6)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 4</td>
<td align="center" rowspan="1" colspan="1">22 (4.9)</td>
<td align="center" rowspan="1" colspan="1">7 (3.2)</td>
<td align="center" rowspan="1" colspan="1">5 (3.3)</td>
<td align="center" rowspan="1" colspan="1">10 (12.2)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 5</td>
<td align="center" rowspan="1" colspan="1">1 (0.2)</td>
<td align="center" rowspan="1" colspan="1">0 (0.0)</td>
<td align="center" rowspan="1" colspan="1">0 (0.0)</td>
<td align="center" rowspan="1" colspan="1">1 (1.2)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Not reported</td>
<td align="center" rowspan="1" colspan="1">22 (4.9)</td>
<td align="center" rowspan="1" colspan="1">10 (4.6)</td>
<td align="center" rowspan="1" colspan="1">7 (4.7)</td>
<td align="center" rowspan="1" colspan="1">7 (8.5)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CXR finding</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Unilateral infiltrate</td>
<td align="center" rowspan="1" colspan="1">41 (9.2)</td>
<td align="center" rowspan="1" colspan="1">21 (9.7)</td>
<td align="center" rowspan="1" colspan="1">14 (9.3)</td>
<td align="center" rowspan="1" colspan="1">4 (4.9)</td>
<td align="center" rowspan="1" colspan="1">0.25</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Bilateral bilateral infiltrate</td>
<td align="center" rowspan="1" colspan="1">262 (58.5)</td>
<td align="center" rowspan="1" colspan="1">108 (50.0)</td>
<td align="center" rowspan="1" colspan="1">91 (60.7)</td>
<td align="center" rowspan="1" colspan="1">63 (76.8)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Data are presented by
<italic>n</italic>
(%). ER=Emergency room, ICU=Intensive care unit, OPD=Outpatient department, CXR=Chest X ray, MERS-CoV=Middle east respiratory syndrome-coronavirus</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The overall in-hospital mortality rate was 13.8%. Patients infected with MERS-CoV were significantly more likely to die compared to others (59.7% vs. 17.7% in H1N1, 14.5% in Influenza A (non-H1N1), and 8.1% in influenza B;
<italic>P</italic>
< 0.001); [
<xref ref-type="fig" rid="F2">Figure 2</xref>
].</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>Bar chart presenting the frequency number of death among the studied confirmed viral pneumonia by type of associated virus January, 2012–October, 2015 (total: 448 cases)</p>
</caption>
<graphic xlink:href="ATM-14-179-g002"></graphic>
</fig>
<p>The impact of baseline characteristics and type of the virus on mortality was assessed in univariate and binary variates analysis [Tables
<xref rid="T3" ref-type="table">3</xref>
and
<xref rid="T4" ref-type="table">4</xref>
]. Age >65 years (odds ratio [OR]: 5.4;
<italic>P</italic>
= 0.0001), male sex (OR: 2.3;
<italic>P</italic>
= 0.003), heart failure (OR: 3.4,
<italic>P</italic>
< 0.001). The number of the comorbidities was proportionately related to mortality [
<xref rid="T5" ref-type="table">Table 5</xref>
].</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Factors associated with the risk of death among the studied viral pneumonia confirmed cases (
<italic>n</italic>
=448)-univariate analysis</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Factor*</th>
<th align="center" rowspan="1" colspan="1">Died (
<italic>n</italic>
=62)</th>
<th align="center" rowspan="1" colspan="1">Alive (
<italic>n</italic>
=386)</th>
<th align="center" rowspan="1" colspan="1">OR</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age >65 years</td>
<td align="center" rowspan="1" colspan="1">45 (72.5)</td>
<td align="center" rowspan="1" colspan="1">127 (32.9)</td>
<td align="center" rowspan="1" colspan="1">5.4</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sex (male)</td>
<td align="center" rowspan="1" colspan="1">43 (69.4)</td>
<td align="center" rowspan="1" colspan="1">189 (49.2)</td>
<td align="center" rowspan="1" colspan="1">2.3</td>
<td align="center" rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Dialysis</td>
<td align="center" rowspan="1" colspan="1">9 (14.5)</td>
<td align="center" rowspan="1" colspan="1">27 (7.0)</td>
<td align="center" rowspan="1" colspan="1">1.7</td>
<td align="center" rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CKD</td>
<td align="center" rowspan="1" colspan="1">20 (32.3)</td>
<td align="center" rowspan="1" colspan="1">44 (11.6)</td>
<td align="center" rowspan="1" colspan="1">3.3</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Chronic lung disease</td>
<td align="center" rowspan="1" colspan="1">8 (12.9)</td>
<td align="center" rowspan="1" colspan="1">77 (20.1)</td>
<td align="center" rowspan="1" colspan="1">0.54</td>
<td align="center" rowspan="1" colspan="1">0.12</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Transplant</td>
<td align="center" rowspan="1" colspan="1">2 (3.2)</td>
<td align="center" rowspan="1" colspan="1">8 (2.1)</td>
<td align="center" rowspan="1" colspan="1">1.5</td>
<td align="center" rowspan="1" colspan="1">0.63</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">HF</td>
<td align="center" rowspan="1" colspan="1">14 (22.6)</td>
<td align="center" rowspan="1" colspan="1">29 (7.6)</td>
<td align="center" rowspan="1" colspan="1">3.4</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cancer</td>
<td align="center" rowspan="1" colspan="1">7 (11.3)</td>
<td align="center" rowspan="1" colspan="1">11 (2.9)</td>
<td align="center" rowspan="1" colspan="1">4.1</td>
<td align="center" rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">IHD</td>
<td align="center" rowspan="1" colspan="1">22 (35.5)</td>
<td align="center" rowspan="1" colspan="1">76 (19.8)</td>
<td align="center" rowspan="1" colspan="1">2.1</td>
<td align="center" rowspan="1" colspan="1">0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bed bound</td>
<td align="center" rowspan="1" colspan="1">20 (32.3)</td>
<td align="center" rowspan="1" colspan="1">26 (6.8)</td>
<td align="center" rowspan="1" colspan="1">6.0</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">HTN</td>
<td align="center" rowspan="1" colspan="1">49 (79.0)</td>
<td align="center" rowspan="1" colspan="1">163 (42.4)</td>
<td align="center" rowspan="1" colspan="1">4.6</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">DM</td>
<td align="center" rowspan="1" colspan="1">41 (66.1)</td>
<td align="center" rowspan="1" colspan="1">151 (39.3)</td>
<td align="center" rowspan="1" colspan="1">2.7</td>
<td align="center" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stroke</td>
<td align="center" rowspan="1" colspan="1">12 (19.4)</td>
<td align="center" rowspan="1" colspan="1">20 (5.2)</td>
<td align="center" rowspan="1" colspan="1">4.7</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Liver disease</td>
<td align="center" rowspan="1" colspan="1">3 (4.8)</td>
<td align="center" rowspan="1" colspan="1">12 (3.1)</td>
<td align="center" rowspan="1" colspan="1">1.5</td>
<td align="center" rowspan="1" colspan="1">0.55</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">MERS-CoV</td>
<td align="center" rowspan="1" colspan="1">37 (59.8)</td>
<td align="center" rowspan="1" colspan="1">44 (11.4)</td>
<td align="center" rowspan="1" colspan="1">11.4</td>
<td align="center" rowspan="1" colspan="1"><0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Data are presented by
<italic>n</italic>
(%). CKD=Chronic kidney disease, HF=Heart failure, IHD=Ischemic heart disease, HTN=Hypertension, DM=Diabetes mellitus, OR=Odds ratio, MERS-CoV=Middle east respiratory syndrome-coronavirus</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Binary multivariate analysis for predictors of death in patients with viral pneumonia</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="3" colspan="1">Variable</th>
<th align="center" rowspan="3" colspan="1">OR</th>
<th align="center" rowspan="3" colspan="1">
<italic>P</italic>
</th>
<th align="center" colspan="2" rowspan="1">95% CI</th>
</tr>
<tr>
<th align="center" colspan="2" rowspan="1">
<hr></hr>
</th>
</tr>
<tr>
<th align="center" rowspan="1" colspan="1">Lower</th>
<th align="center" rowspan="1" colspan="1">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age</td>
<td align="center" rowspan="1" colspan="1">1.015</td>
<td align="center" rowspan="1" colspan="1">0.601</td>
<td align="center" rowspan="1" colspan="1">0.959</td>
<td align="center" rowspan="1" colspan="1">1.075</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Gender</td>
<td align="center" rowspan="1" colspan="1">2.367</td>
<td align="center" rowspan="1" colspan="1">0.349</td>
<td align="center" rowspan="1" colspan="1">0.070</td>
<td align="center" rowspan="1" colspan="1">2.564</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">WBC</td>
<td align="center" rowspan="1" colspan="1">1.027</td>
<td align="center" rowspan="1" colspan="1">0.374</td>
<td align="center" rowspan="1" colspan="1">0.968</td>
<td align="center" rowspan="1" colspan="1">1.090</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hb</td>
<td align="center" rowspan="1" colspan="1">0.659</td>
<td align="center" rowspan="1" colspan="1">0.032</td>
<td align="center" rowspan="1" colspan="1">0.451</td>
<td align="center" rowspan="1" colspan="1">0.964</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Platelet</td>
<td align="center" rowspan="1" colspan="1">1.005</td>
<td align="center" rowspan="1" colspan="1">0.206</td>
<td align="center" rowspan="1" colspan="1">0.997</td>
<td align="center" rowspan="1" colspan="1">1.014</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CRP</td>
<td align="center" rowspan="1" colspan="1">1.006</td>
<td align="center" rowspan="1" colspan="1">0.227</td>
<td align="center" rowspan="1" colspan="1">0.996</td>
<td align="center" rowspan="1" colspan="1">1.015</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CPK</td>
<td align="center" rowspan="1" colspan="1">1.000</td>
<td align="center" rowspan="1" colspan="1">0.439</td>
<td align="center" rowspan="1" colspan="1">0.999</td>
<td align="center" rowspan="1" colspan="1">1.002</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CURB score</td>
<td align="center" rowspan="1" colspan="1">1.779</td>
<td align="center" rowspan="1" colspan="1">0.051</td>
<td align="center" rowspan="1" colspan="1">0.998</td>
<td align="center" rowspan="1" colspan="1">3.170</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">DM</td>
<td align="center" rowspan="1" colspan="1">1.295</td>
<td align="center" rowspan="1" colspan="1">0.819</td>
<td align="center" rowspan="1" colspan="1">0.142</td>
<td align="center" rowspan="1" colspan="1">11.826</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">HTN</td>
<td align="center" rowspan="1" colspan="1">1.932</td>
<td align="center" rowspan="1" colspan="1">0.634</td>
<td align="center" rowspan="1" colspan="1">0.129</td>
<td align="center" rowspan="1" colspan="1">29.039</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CKD</td>
<td align="center" rowspan="1" colspan="1">1.135</td>
<td align="center" rowspan="1" colspan="1">0.904</td>
<td align="center" rowspan="1" colspan="1">0.145</td>
<td align="center" rowspan="1" colspan="1">8.854</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">HF</td>
<td align="center" rowspan="1" colspan="1">2.623</td>
<td align="center" rowspan="1" colspan="1">0.261</td>
<td align="center" rowspan="1" colspan="1">0.488</td>
<td align="center" rowspan="1" colspan="1">14.104</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">MERS versus non-MERS</td>
<td align="center" rowspan="1" colspan="1">16.34</td>
<td align="center" rowspan="1" colspan="1">0.002</td>
<td align="center" rowspan="1" colspan="1">2.735</td>
<td align="center" rowspan="1" colspan="1">97.632</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Dialysis</td>
<td align="center" rowspan="1" colspan="1">1.686</td>
<td align="center" rowspan="1" colspan="1">0.625</td>
<td align="center" rowspan="1" colspan="1">0.208</td>
<td align="center" rowspan="1" colspan="1">13.669</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cancer</td>
<td align="center" rowspan="1" colspan="1">3.577</td>
<td align="center" rowspan="1" colspan="1">0.299</td>
<td align="center" rowspan="1" colspan="1">0.322</td>
<td align="center" rowspan="1" colspan="1">39.731</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bed ridden</td>
<td align="center" rowspan="1" colspan="1">1.185</td>
<td align="center" rowspan="1" colspan="1">0.859</td>
<td align="center" rowspan="1" colspan="1">0.182</td>
<td align="center" rowspan="1" colspan="1">7.716</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stroke</td>
<td align="center" rowspan="1" colspan="1">2.344</td>
<td align="center" rowspan="1" colspan="1">0.413</td>
<td align="center" rowspan="1" colspan="1">0.304</td>
<td align="center" rowspan="1" colspan="1">18.057</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DM=Diabetes mellitus, HTN=Hypertension, CKD=Chronic kidney disease, HF=Heart failure, MERS=Middle east respiratory syndrome, CI=Confidence interval, OR=Odds ratio, Hb=Hemoglobin, WBC=White blood cell, CRP=C-reactive protein, CPK=Creatine phosphokinase</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table 5</label>
<caption>
<p>Number of comorbidities and the risk of death among the studied viral pneumonia confirmed cases (
<italic>n</italic>
=448)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Factor</th>
<th align="center" rowspan="1" colspan="1">Died (
<italic>n</italic>
=62)</th>
<th align="center" rowspan="1" colspan="1">Alive (
<italic>n</italic>
=386)</th>
<th align="center" rowspan="1" colspan="1">OR</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">One comorbidity</td>
<td align="center" rowspan="1" colspan="1">4</td>
<td align="center" rowspan="1" colspan="1">40</td>
<td align="center" rowspan="1" colspan="1">1.84</td>
<td align="center" rowspan="1" colspan="1">0.10</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Two comorbidities</td>
<td align="center" rowspan="1" colspan="1">15</td>
<td align="center" rowspan="1" colspan="1">76</td>
<td align="center" rowspan="1" colspan="1">4.12</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Three comorbidities</td>
<td align="center" rowspan="1" colspan="1">5</td>
<td align="center" rowspan="1" colspan="1">52</td>
<td align="center" rowspan="1" colspan="1">5.66</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Four comorbidities</td>
<td align="center" rowspan="1" colspan="1">8</td>
<td align="center" rowspan="1" colspan="1">30</td>
<td align="center" rowspan="1" colspan="1">5.52</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">More than four comorbidities</td>
<td align="center" rowspan="1" colspan="1">11</td>
<td align="center" rowspan="1" colspan="1">10</td>
<td align="center" rowspan="1" colspan="1">20.2</td>
<td align="center" rowspan="1" colspan="1"><0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR=Odds ratio</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="sec1-4">
<title>Discussion</title>
<p>Respiratory viruses, including influenza, have received more attention compared to other causes of pneumonia particularly after the emergence of the new H1N1 and MERS-CoV. In this cohort, pneumonia caused by MERS CoV-infection was more prevalent among older patients. A similar finding was also reported in studies from other Middle-East countries including UAE, Qatar, Oman, Jordan, Kuwait, and Yemen.[
<xref rid="ref15" ref-type="bibr">15</xref>
] On the contrary, H1N1 pneumonia affects patients at a slightly younger age group.[
<xref rid="ref16" ref-type="bibr">16</xref>
<xref rid="ref17" ref-type="bibr">17</xref>
<xref rid="ref18" ref-type="bibr">18</xref>
<xref rid="ref19" ref-type="bibr">19</xref>
] It was noted during most pandemics that the age distribution of severe influenza-related pneumonia exhibits a U-shaped pattern, with young and the elderly patients were most frequently affected.[
<xref rid="ref20" ref-type="bibr">20</xref>
<xref rid="ref21" ref-type="bibr">21</xref>
] In this cohort, males were more likely to be infected. This is consistent with a similar finding reported by others,[
<xref rid="ref15" ref-type="bibr">15</xref>
<xref rid="ref16" ref-type="bibr">16</xref>
<xref rid="ref17" ref-type="bibr">17</xref>
<xref rid="ref18" ref-type="bibr">18</xref>
<xref rid="ref19" ref-type="bibr">19</xref>
] although a recent report showed more MERS-CoV infection among female healthcare workers.[
<xref rid="ref22" ref-type="bibr">22</xref>
]</p>
<p>The most common radiological finding in this study was bilateral lung infiltrate and that was mostly observed among MERS-CoV (94.1%) and H1N1 (86.7%) associated infections. The pattern of interstitial infiltrates with patchy distribution on chest radiograph was sometimes useful in differentiating viral from bacterial community-acquired pneumonia.[
<xref rid="ref23" ref-type="bibr">23</xref>
] These changes, however, were not universal. Similarly, the presence of pleural effusion predicts bacterial infection,[
<xref rid="ref24" ref-type="bibr">24</xref>
] and that was not reported in any of the studied cases.</p>
<p>The depicted epidemic curve in this study showed that the incidence of viral pneumonia associated with influenza virus and MERS-CoV infection was fluctuating all over the studied years. Studying the incidence of infection by season showed a steep rise in the curve during the period from October to December for influenza A (both non-H1N1 and H1N1), and in the period from January to March for MERS-CoV. This finding was reported by García-García
<italic>et al</italic>
.,[
<xref rid="ref24" ref-type="bibr">24</xref>
] and Johnstone
<italic>et al</italic>
.[
<xref rid="ref25" ref-type="bibr">25</xref>
] and it was included in H1N1 and MERS-CoV reports from WHO[
<xref rid="ref7" ref-type="bibr">7</xref>
<xref rid="ref11" ref-type="bibr">11</xref>
] and CDC.[
<xref rid="ref6" ref-type="bibr">6</xref>
] The cause of this seasonal fluctuation is not clearly understood; however, one possible explanation is that the temperature of early spring and autumn in Arabian Peninsula is not high enough to destroy the virus,[
<xref rid="ref26" ref-type="bibr">26</xref>
] knowing that MERS-CoV can be completely inactivated by heat treatment at 50°C for 30 min.[
<xref rid="ref27" ref-type="bibr">27</xref>
]</p>
<p>Similar to mortality data and its predictors found in this study, the previously reported cohort of MERS-CoV patients found that age >65 years was an independent predictor of mortality while concomitant infections and low serum albumin were predictors for ICU admission.[
<xref rid="ref28" ref-type="bibr">28</xref>
] In other recently published studies, older age, renal failure, diabetes, and hypertension were associated with increased mortality.[
<xref rid="ref29" ref-type="bibr">29</xref>
<xref rid="ref30" ref-type="bibr">30</xref>
] The associated comorbidities reported in our study, as well as other reports, were found to increase the risk of complications and death, among patients with H1N1 and MERS-CoV pneumonia.[
<xref rid="ref31" ref-type="bibr">31</xref>
] Severe cases of influenza are more likely to occur with cardiovascular diseases (OR: 2.9), hypertension with (OR: 1.5), and neuromuscular disease with (OR: 2.7).[
<xref rid="ref32" ref-type="bibr">32</xref>
] In older studies during the 1968–1969 pandemic, approximately three-quarters of the patients admitted to the hospital with pneumonia had underlying chronic medical conditions,[
<xref rid="ref33" ref-type="bibr">33</xref>
] while in another large cohort, a history of heart or lung disease, diabetes mellitus, rheumatologic disease, renal disease, or dementia/stroke predicted an increased risk of pneumonia and influenza-related hospitalization.[
<xref rid="ref34" ref-type="bibr">34</xref>
] The risk of mortality was found to progressively increase among cases with multiple comorbidities particularly among cases having more than one comorbidity. Unexpectedly, the presence of pre-existing lung disease was not found to affect the outcome in our study. Clearly, identification of risk factors associated with increased mortality is vital to identify candidates for potential future vaccines and therapy.</p>
<p>This study, despite its retrospective nature, is one of the largest studies describing viral pneumonia secondary to influenza and MERS-CoV infections in the Kingdom of Saudi Arabia. It covered various demographic, clinical, radiological, and laboratory characteristics of the patients and analyzed the predictors of poor outcome. However, the data emerged from a single center with a unique population might not reflect the whole spectrum of the disease.</p>
</sec>
<sec sec-type="conclusion" id="sec1-5">
<title>Conclusion</title>
<p>Viral pneumonia remains a major health problem, particularly after emergence of new viruses. The fatality rate was high particularly among cases associated with MERS-COV infection. The most important predictors of death among these patients were old age, male sex, and associated comorbidities. Finally, routine testing for newly emergent viruses may be warranted for adults who have been hospitalized with pneumonia.</p>
<p>Study approval was granted from PSMMC IRB.</p>
<sec id="sec2-1">
<title>Financial support and sponsorship</title>
<p>Nil.</p>
</sec>
<sec id="sec2-2" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>There are no conflicts of interest.</p>
</sec>
</sec>
</body>
<back>
<ack>
<title>Acknowledgment</title>
<p>We would like to express our thanks and appreciation to Ms. Wedad Al-Sufayani for helping in files collection and organizations.</p>
</ack>
<ref-list>
<ref id="ref1">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>File</surname>
<given-names>TM</given-names>
</name>
</person-group>
<article-title>Community-acquired pneumonia</article-title>
<source>Lancet</source>
<year>2003</year>
<volume>362</volume>
<fpage>1991</fpage>
<lpage>2001</lpage>
<pub-id pub-id-type="pmid">14683661</pub-id>
</element-citation>
</ref>
<ref id="ref2">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Galván</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Rajas</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Aspa</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Review of non-bacterial infections in respiratory medicine: Viral pneumonia</article-title>
<source>Arch Bronconeumol</source>
<year>2015</year>
<volume>51</volume>
<fpage>590</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="pmid">25957460</pub-id>
</element-citation>
</ref>
<ref id="ref3">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sangil</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Calbo</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Robles</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Benet</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Viladot</surname>
<given-names>ME</given-names>
</name>
<name>
<surname>Pascual</surname>
<given-names>V</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Aetiology of community-acquired pneumonia among adults in an H1N1 pandemic year: The role of respiratory viruses</article-title>
<source>Eur J Clin Microbiol Infect Dis</source>
<year>2012</year>
<volume>31</volume>
<fpage>2765</fpage>
<lpage>72</lpage>
<pub-id pub-id-type="pmid">22549730</pub-id>
</element-citation>
</ref>
<ref id="ref4">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Louie</surname>
<given-names>JK</given-names>
</name>
<name>
<surname>Acosta</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Winter</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Jean</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Gavali</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Schechter</surname>
<given-names>R</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Factors associated with death or hospitalization due to pandemic 2009 influenza A(H1N1) infection in California</article-title>
<source>JAMA</source>
<year>2009</year>
<volume>302</volume>
<fpage>1896</fpage>
<lpage>902</lpage>
<pub-id pub-id-type="pmid">19887665</pub-id>
</element-citation>
</ref>
<ref id="ref5">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Domínguez-Cherit</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Lapinsky</surname>
<given-names>SE</given-names>
</name>
<name>
<surname>Macias</surname>
<given-names>AE</given-names>
</name>
<name>
<surname>Pinto</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Espinosa-Perez</surname>
<given-names>L</given-names>
</name>
<name>
<surname>de la Torre</surname>
<given-names>A</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Critically ill patients with 2009 influenza A(H1N1) in Mexico</article-title>
<source>JAMA</source>
<year>2009</year>
<volume>302</volume>
<fpage>1880</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="pmid">19822626</pub-id>
</element-citation>
</ref>
<ref id="ref6">
<label>6</label>
<element-citation publication-type="journal">
<collab>Centers for Disease Control and Prevention</collab>
<source>CDC Health Update: Swine Influenza A(H1N1) Update: Influenza Activity- United States. Centers for Disease Control and Prevention; 29 September, 8 February, 2013</source>
<year>2014</year>
<date-in-citation>Last accessed on 2017 Feb 21</date-in-citation>
</element-citation>
</ref>
<ref id="ref7">
<label>7</label>
<element-citation publication-type="webpage">
<collab>World Health Organization</collab>
<article-title>Distribution of Con- Firmed Cases of Influenza A(H1N1) by Age</article-title>
<source>WHO European Region</source>
<date-in-citation>Last accessed on 2009 Apr/May</date-in-citation>
<comment>Available from:
<uri xlink:type="simple" xlink:href="http://www.euro.who.int/influenza/AH1N0090508_5">http://www.euro.who.int/influenza/AH1N0090508_5</uri>
</comment>
</element-citation>
</ref>
<ref id="ref8">
<label>8</label>
<element-citation publication-type="journal">
<collab>Novel Swine-Origin Influenza A(H1N1) Virus Investigation Team</collab>
<person-group person-group-type="author">
<name>
<surname>Dawood</surname>
<given-names>FS</given-names>
</name>
<name>
<surname>Jain</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Finelli</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Shaw</surname>
<given-names>MW</given-names>
</name>
<name>
<surname>Lindstrom</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Emergence of a novel swine-origin influenza A(H1N1) virus in humans</article-title>
<source>N Engl J Med</source>
<year>2009</year>
<volume>360</volume>
<fpage>2605</fpage>
<lpage>15</lpage>
<pub-id pub-id-type="pmid">19423869</pub-id>
</element-citation>
</ref>
<ref id="ref9">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>AlMazroa</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Memish</surname>
<given-names>ZA</given-names>
</name>
<name>
<surname>AlWadey</surname>
<given-names>AM</given-names>
</name>
</person-group>
<article-title>Pandemic influenza A(H1N1) in Saudi Arabia: Description of the first one hundred cases</article-title>
<source>Ann Saudi Med</source>
<year>2010</year>
<volume>30</volume>
<fpage>11</fpage>
<lpage>4</lpage>
<pub-id pub-id-type="pmid">20103952</pub-id>
</element-citation>
</ref>
<ref id="ref10">
<label>10</label>
<element-citation publication-type="webpage">
<collab>World Health Organization</collab>
<source>“Acute Respiratory Update”</source>
<date-in-citation>Last accessed on 2017 Feb 21</date-in-citation>
<comment>Available from:
<uri xlink:type="simple" xlink:href="http://www.who.int/vac-Cine_Research/diseases/ari/en/index5">http://www.who.int/vac-Cine_Research/diseases/ari/en/index5</uri>
</comment>
</element-citation>
</ref>
<ref id="ref11">
<label>11</label>
<element-citation publication-type="webpage">
<collab>World Health Organization</collab>
<source>Middle East respiratory Syndrome Coronavirus (MERS-CoV)</source>
<date-in-citation>Last accessed on 2017 Feb 21</date-in-citation>
<comment>Available from:
<uri xlink:type="simple" xlink:href="http://www.who.int/emergencies/mers-cov/en">http://www.who.int/emergencies/mers-cov/en</uri>
</comment>
</element-citation>
</ref>
<ref id="ref12">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alraddadi</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Watson</surname>
<given-names>JT</given-names>
</name>
<name>
<surname>Almarashi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Abedi</surname>
<given-names>GR</given-names>
</name>
<name>
<surname>Turkistani</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Sadran</surname>
<given-names>M</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Risk factors for primary middle east respiratory syndrome coronavirus illness in humans, Saudi Arabia, 2014</article-title>
<source>Emerg Infect Dis</source>
<year>2016</year>
<volume>22</volume>
<fpage>49</fpage>
<lpage>55</lpage>
<pub-id pub-id-type="pmid">26692185</pub-id>
</element-citation>
</ref>
<ref id="ref13">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Assiri</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Al-Tawfiq</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Al-Rabeeah</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Al-Rabiah</surname>
<given-names>FA</given-names>
</name>
<name>
<surname>Al-Hajjar</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Al-Barrak</surname>
<given-names>A</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: A descriptive study</article-title>
<source>Lancet Infect Dis</source>
<year>2013</year>
<volume>13</volume>
<fpage>752</fpage>
<lpage>61</lpage>
<pub-id pub-id-type="pmid">23891402</pub-id>
</element-citation>
</ref>
<ref id="ref14">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Balkhy</surname>
<given-names>HH</given-names>
</name>
<name>
<surname>Alenazi</surname>
<given-names>TH</given-names>
</name>
<name>
<surname>Alshamrani</surname>
<given-names>MM</given-names>
</name>
<name>
<surname>Baffoe-Bonnie</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Arabi</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Hijazi</surname>
<given-names>R</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Description of a hospital outbreak of middle east respiratory syndrome in a large tertiary care hospital in Saudi Arabia</article-title>
<source>Infect Control Hosp Epidemiol</source>
<year>2016</year>
<volume>37</volume>
<fpage>1147</fpage>
<lpage>55</lpage>
<pub-id pub-id-type="pmid">27426423</pub-id>
</element-citation>
</ref>
<ref id="ref15">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bialek</surname>
<given-names>SR</given-names>
</name>
<name>
<surname>Allen</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Alvarado-Ramy</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Arthur</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Balajee</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Bell</surname>
<given-names>D</given-names>
</name>
<etal></etal>
</person-group>
<article-title>First confirmed cases of Middle East respiratory syndrome coronavirus (MERS-coV) infection in the United States, updated information on the epidemiology of MERS-coV infection, and guidance for the public, clinicians, and public health authorities – May 2014</article-title>
<source>MMWR Morb Mortal Wkly Rep</source>
<year>2014</year>
<volume>63</volume>
<fpage>431</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">24827411</pub-id>
</element-citation>
</ref>
<ref id="ref16">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Delaney</surname>
<given-names>JW</given-names>
</name>
<name>
<surname>Fowler</surname>
<given-names>RA</given-names>
</name>
</person-group>
<article-title>2009 influenza A(H1N1): A clinical review</article-title>
<source>Hosp Pract (1995)</source>
<year>2010</year>
<volume>38</volume>
<fpage>74</fpage>
<lpage>81</lpage>
</element-citation>
</ref>
<ref id="ref17">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dee</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Jayathissa</surname>
<given-names>S</given-names>
</name>
</person-group>
<article-title>Clinical and epidemiological characteristics of the hospitalised patients due to pandemic H1N1 2009 viral infection: Experience at Hutt hospital, New Zealand</article-title>
<source>N Z Med J</source>
<year>2010</year>
<volume>123</volume>
<fpage>45</fpage>
<lpage>53</lpage>
</element-citation>
</ref>
<ref id="ref18">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Appuhamy</surname>
<given-names>RD</given-names>
</name>
<name>
<surname>Beard</surname>
<given-names>FH</given-names>
</name>
<name>
<surname>Phung</surname>
<given-names>HN</given-names>
</name>
<name>
<surname>Selvey</surname>
<given-names>CE</given-names>
</name>
<name>
<surname>Birrell</surname>
<given-names>FA</given-names>
</name>
<name>
<surname>Culleton</surname>
<given-names>TH</given-names>
</name>
<etal></etal>
</person-group>
<article-title>The changing phases of pandemic (H1N1) 2009 in Queensland: An overview of public health actions and epidemiology</article-title>
<source>Med J Aust</source>
<year>2010</year>
<volume>192</volume>
<fpage>94</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="pmid">20078411</pub-id>
</element-citation>
</ref>
<ref id="ref19">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lan</surname>
<given-names>YC</given-names>
</name>
<name>
<surname>Su</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>CH</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>WL</given-names>
</name>
<name>
<surname>Tien</surname>
<given-names>N</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Epidemiology of pandemic influenza A/H1N1 virus during 2009-2010 in Taiwan</article-title>
<source>Virus Res</source>
<year>2013</year>
<volume>177</volume>
<fpage>46</fpage>
<lpage>54</lpage>
<pub-id pub-id-type="pmid">23886669</pub-id>
</element-citation>
</ref>
<ref id="ref20">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Glezen</surname>
<given-names>WP</given-names>
</name>
</person-group>
<article-title>Serious morbidity and mortality associated with influenza epidemics</article-title>
<source>Epidemiol Rev</source>
<year>1982</year>
<volume>4</volume>
<fpage>25</fpage>
<lpage>44</lpage>
<pub-id pub-id-type="pmid">6754408</pub-id>
</element-citation>
</ref>
<ref id="ref21">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Serfling</surname>
<given-names>RE</given-names>
</name>
<name>
<surname>Sherman</surname>
<given-names>IL</given-names>
</name>
<name>
<surname>Houseworth</surname>
<given-names>WJ</given-names>
</name>
</person-group>
<article-title>Excess pneumonia-influenza mortality by age and sex in three major influenza A2 epidemics, United States, 1957-58, 1960 and 1963</article-title>
<source>Am J Epidemiol</source>
<year>1967</year>
<volume>86</volume>
<fpage>433</fpage>
<lpage>41</lpage>
<pub-id pub-id-type="pmid">6058395</pub-id>
</element-citation>
</ref>
<ref id="ref22">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alsahafi</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>AC</given-names>
</name>
</person-group>
<article-title>The epidemiology of Middle East respiratory syndrome coronavirus in the Kingdom of Saudi Arabia, 2012-2015</article-title>
<source>Int J Infect Dis</source>
<year>2016</year>
<volume>45</volume>
<fpage>1</fpage>
<lpage>4</lpage>
<pub-id pub-id-type="pmid">26875601</pub-id>
</element-citation>
</ref>
<ref id="ref23">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruuskanen</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Lahti</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Jennings</surname>
<given-names>LC</given-names>
</name>
<name>
<surname>Murdoch</surname>
<given-names>DR</given-names>
</name>
</person-group>
<article-title>Viral pneumonia</article-title>
<source>Lancet</source>
<year>2011</year>
<volume>377</volume>
<fpage>1264</fpage>
<lpage>75</lpage>
<pub-id pub-id-type="pmid">21435708</pub-id>
</element-citation>
</ref>
<ref id="ref24">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>García-García</surname>
<given-names>ML</given-names>
</name>
<name>
<surname>Calvo</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Pozo</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Villadangos</surname>
<given-names>PA</given-names>
</name>
<name>
<surname>Pérez-Breña</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Casas</surname>
<given-names>I</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Spectrum of respiratory viruses in children with community-acquired pneumonia</article-title>
<source>Pediatr Infect Dis J</source>
<year>2012</year>
<volume>31</volume>
<fpage>808</fpage>
<lpage>13</lpage>
<pub-id pub-id-type="pmid">22531244</pub-id>
</element-citation>
</ref>
<ref id="ref25">
<label>25</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Johnstone</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Majumdar</surname>
<given-names>SR</given-names>
</name>
<name>
<surname>Fox</surname>
<given-names>JD</given-names>
</name>
<name>
<surname>Marrie</surname>
<given-names>TJ</given-names>
</name>
</person-group>
<article-title>Viral infection in adults hospitalized with community-acquired pneumonia: Prevalence, pathogens, and presentation</article-title>
<source>Chest</source>
<year>2008</year>
<volume>134</volume>
<fpage>1141</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="pmid">18689592</pub-id>
</element-citation>
</ref>
<ref id="ref26">
<label>26</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sizun</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>MW</given-names>
</name>
<name>
<surname>Talbot</surname>
<given-names>PJ</given-names>
</name>
</person-group>
<article-title>Survival of human coronaviruses 229E and OC43 in suspension and after drying onsurfaces: A possible source ofhospital-acquired infections</article-title>
<source>J Hosp Infect</source>
<year>2000</year>
<volume>46</volume>
<fpage>55</fpage>
<lpage>60</lpage>
<pub-id pub-id-type="pmid">11023724</pub-id>
</element-citation>
</ref>
<ref id="ref27">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rabenau</surname>
<given-names>HF</given-names>
</name>
<name>
<surname>Cinatl</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Morgenstern</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Bauer</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Preiser</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Doerr</surname>
<given-names>HW</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Stability and inactivation of SARS coronavirus</article-title>
<source>Med Microbiol Immunol</source>
<year>2005</year>
<volume>194</volume>
<fpage>1</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">15118911</pub-id>
</element-citation>
</ref>
<ref id="ref28">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saad</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Omrani</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Baig</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Bahloul</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Elzein</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Matin</surname>
<given-names>MA</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Clinical aspects and outcomes of 70 patients with Middle East respiratory syndrome coronavirus infection: A single-center experience in Saudi Arabia</article-title>
<source>Int J Infect Dis</source>
<year>2014</year>
<volume>29</volume>
<fpage>301</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">25303830</pub-id>
</element-citation>
</ref>
<ref id="ref29">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shalhoub</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Farahat</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Al-Jiffri</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Simhairi</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Shamma</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Siddiqi</surname>
<given-names>N</given-names>
</name>
<etal></etal>
</person-group>
<article-title>IFN-α2a or IFN-β1a in combination with ribavirin to treat Middle East respiratory syndrome coronavirus pneumonia: A retrospective study</article-title>
<source>J Antimicrob Chemother</source>
<year>2015</year>
<volume>70</volume>
<fpage>2129</fpage>
<lpage>32</lpage>
<pub-id pub-id-type="pmid">25900158</pub-id>
</element-citation>
</ref>
<ref id="ref30">
<label>30</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alraddadi</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Bawareth</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Omar</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Alsalmi</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Alshukairi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Qushmaq</surname>
<given-names>I</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Patient characteristics infected with Middle East respiratory syndrome coronavirus infection in a tertiary hospital</article-title>
<source>Ann Thorac Med</source>
<year>2016</year>
<volume>11</volume>
<fpage>128</fpage>
<lpage>31</lpage>
<pub-id pub-id-type="pmid">27168861</pub-id>
</element-citation>
</ref>
<ref id="ref31">
<label>31</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Badawi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ryoo</surname>
<given-names>SG</given-names>
</name>
</person-group>
<article-title>Prevalence of diabetes in the 2009 influenza A(H1N1) and the Middle East respiratory syndrome coronavirus: A systematic review and meta-analysis</article-title>
<source>J Public Health Res</source>
<year>2016</year>
<volume>5</volume>
<fpage>733</fpage>
<pub-id pub-id-type="pmid">28083520</pub-id>
</element-citation>
</ref>
<ref id="ref32">
<label>32</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mertz</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>TH</given-names>
</name>
<name>
<surname>Johnstone</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Lam</surname>
<given-names>PP</given-names>
</name>
<name>
<surname>Science</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kuster</surname>
<given-names>SP</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Populations at risk for severe or complicated influenza illness: Systematic review and meta-analysis</article-title>
<source>BMJ</source>
<year>2013</year>
<volume>347</volume>
<fpage>f5061</fpage>
<pub-id pub-id-type="pmid">23974637</pub-id>
</element-citation>
</ref>
<ref id="ref33">
<label>33</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bisno</surname>
<given-names>AL</given-names>
</name>
<name>
<surname>Griffin</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Van Epps</surname>
<given-names>KA</given-names>
</name>
<name>
<surname>Niell</surname>
<given-names>HB</given-names>
</name>
<name>
<surname>Rytel</surname>
<given-names>MW</given-names>
</name>
</person-group>
<article-title>Pneumonia and Hong Kong influenza: A prospective study of the 1968-1969 epidemic</article-title>
<source>Am J Med Sci</source>
<year>1971</year>
<volume>261</volume>
<fpage>251</fpage>
<lpage>63</lpage>
<pub-id pub-id-type="pmid">5092152</pub-id>
</element-citation>
</ref>
<ref id="ref34">
<label>34</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nichol</surname>
<given-names>KL</given-names>
</name>
<name>
<surname>Wuorenma</surname>
<given-names>J</given-names>
</name>
<name>
<surname>von Sternberg</surname>
<given-names>T</given-names>
</name>
</person-group>
<article-title>Benefits of influenza vaccination for low-, intermediate-, and high-risk senior citizens</article-title>
<source>Arch Intern Med</source>
<year>1998</year>
<volume>158</volume>
<fpage>1769</fpage>
<lpage>76</lpage>
<pub-id pub-id-type="pmid">9738606</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

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