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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Renal Complications and Their Prognosis in Korean Patients with Middle East Respiratory Syndrome-Coronavirus from the Central MERS-CoV Designated Hospital</title><author><name sortKey="Cha, Ran Hui" sort="Cha, Ran Hui" uniqKey="Cha R" first="Ran-Hui" last="Cha">Ran-Hui Cha</name><affiliation><nlm:aff id="A1">Division of Nephrology, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Joh, Joon Sung" sort="Joh, Joon Sung" uniqKey="Joh J" first="Joon-Sung" last="Joh">Joon-Sung Joh</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Jeong, Ina" sort="Jeong, Ina" uniqKey="Jeong I" first="Ina" last="Jeong">Ina Jeong</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Lee, Ji Yeon" sort="Lee, Ji Yeon" uniqKey="Lee J" first="Ji Yeon" last="Lee">Ji Yeon Lee</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Shin, Hyoung Shik" sort="Shin, Hyoung Shik" uniqKey="Shin H" first="Hyoung-Shik" last="Shin">Hyoung-Shik Shin</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Gayeon" sort="Kim, Gayeon" uniqKey="Kim G" first="Gayeon" last="Kim">Gayeon Kim</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Yeonjae" sort="Kim, Yeonjae" uniqKey="Kim Y" first="Yeonjae" last="Kim">Yeonjae Kim</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26713056</idno><idno type="pmc">4689825</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689825</idno><idno type="RBID">PMC:4689825</idno><idno type="doi">10.3346/jkms.2015.30.12.1807</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000045</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000045</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Renal Complications and Their Prognosis in Korean Patients with Middle East Respiratory Syndrome-Coronavirus from the Central MERS-CoV Designated Hospital</title><author><name sortKey="Cha, Ran Hui" sort="Cha, Ran Hui" uniqKey="Cha R" first="Ran-Hui" last="Cha">Ran-Hui Cha</name><affiliation><nlm:aff id="A1">Division of Nephrology, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Joh, Joon Sung" sort="Joh, Joon Sung" uniqKey="Joh J" first="Joon-Sung" last="Joh">Joon-Sung Joh</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Jeong, Ina" sort="Jeong, Ina" uniqKey="Jeong I" first="Ina" last="Jeong">Ina Jeong</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Lee, Ji Yeon" sort="Lee, Ji Yeon" uniqKey="Lee J" first="Ji Yeon" last="Lee">Ji Yeon Lee</name><affiliation><nlm:aff id="A2">Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Shin, Hyoung Shik" sort="Shin, Hyoung Shik" uniqKey="Shin H" first="Hyoung-Shik" last="Shin">Hyoung-Shik Shin</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Gayeon" sort="Kim, Gayeon" uniqKey="Kim G" first="Gayeon" last="Kim">Gayeon Kim</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Yeonjae" sort="Kim, Yeonjae" uniqKey="Kim Y" first="Yeonjae" last="Kim">Yeonjae Kim</name><affiliation><nlm:aff id="A3">Center for Infectious Diseases, National Medical Center, Seoul, Korea.</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Korean Medical Science</title><idno type="ISSN">1011-8934</idno><idno type="eISSN">1598-6357</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Some cases of Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) infection presented renal function impairment after the first MERS-CoV patient died of progressive respiratory and renal failure. Thus, MERS-CoV may include kidney tropism. However, reports about the natural courses of MERS-CoV infection in terms of renal complications are scarce. We examined 30 MERS-CoV patients admitted to National Medical Center, Korea. We conducted a retrospective analysis of the serum creatinine (SCr), estimated glomerular filtration rate (eGFR), urine dipstick tests, urinary protein quantitation (ACR or PCR), and other clinical parameters in all patients. Two consecutive results of more than trace (or 1+) of albumin and blood on dipstick test occurred in 18 (60%) (12 [40%]) and 22 (73.3%) (19 [63.3%]) patients, respectively. Fifteen (50.0%) patients showed a random urine ACR or PCR more than 100 mg/g Cr. Eight (26.7%) patients showed acute kidney injury (AKI), and the mean and median durations to the occurrence of AKI from symptom onset were 18 and 16 days, respectively. Old age was associated with a higher occurrence of AKI in the univariate analysis (HR [95% CI]: 1.069 [1.013-1.128], <italic>P</italic> = 0.016) and remained a significant predictor of the occurrence of AKI after adjustment for comorbidities and the application of a mechanical ventilator. Diabetes, AKI, and the application of a continuous renal replacement therapy (CRRT) were risk factors for mortality in the univariate analysis (HR [95% CI]: diabetes; 10.133 [1.692-60.697], AKI; 12.744 [1.418-114.565], CRRT; 10.254 [1.626-64.666], respectively). Here, we report renal complications and their prognosis in 30 Korean patients with MERS-CoV.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Zaki, Am" uniqKey="Zaki A">AM Zaki</name></author><author><name sortKey="Van Boheemen, S" uniqKey="Van Boheemen S">S van Boheemen</name></author><author><name sortKey="Bestebroer, Tm" uniqKey="Bestebroer T">TM Bestebroer</name></author><author><name sortKey="Osterhaus, Ad" uniqKey="Osterhaus A">AD Osterhaus</name></author><author><name sortKey="Fouchier, Ra" uniqKey="Fouchier R">RA Fouchier</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Memish, Za" uniqKey="Memish Z">ZA Memish</name></author><author><name sortKey="Zumla, Ai" uniqKey="Zumla A">AI Zumla</name></author><author><name sortKey="Al Hakeem, Rf" uniqKey="Al Hakeem R">RF Al-Hakeem</name></author><author><name sortKey="Al Rabeeah, Aa" uniqKey="Al Rabeeah A">AA Al-Rabeeah</name></author><author><name 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sortKey="Goffard, A" uniqKey="Goffard A">A Goffard</name></author><author><name sortKey="Parmentier Decrucq, E" uniqKey="Parmentier Decrucq E">E Parmentier-Decrucq</name></author><author><name sortKey="Favory, R" uniqKey="Favory R">R Favory</name></author><author><name sortKey="Kauv, M" uniqKey="Kauv M">M Kauv</name></author><author><name sortKey="Kipnis, E" uniqKey="Kipnis E">E Kipnis</name></author><author><name sortKey="Mathieu, D" uniqKey="Mathieu D">D Mathieu</name></author><author><name sortKey="Van Der Werf, S" uniqKey="Van Der Werf S">S van der Werf</name></author><author><name sortKey="Guery, B" uniqKey="Guery B">B Guery</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">J Korean Med Sci</journal-id><journal-id journal-id-type="iso-abbrev">J. Korean Med. Sci</journal-id><journal-id journal-id-type="publisher-id">JKMS</journal-id><journal-title-group><journal-title>Journal of Korean Medical Science</journal-title></journal-title-group><issn pub-type="ppub">1011-8934</issn><issn pub-type="epub">1598-6357</issn><publisher><publisher-name>The Korean Academy of Medical Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26713056</article-id><article-id pub-id-type="pmc">4689825</article-id><article-id pub-id-type="doi">10.3346/jkms.2015.30.12.1807</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject><subj-group subj-group-type="subheading"><subject>Nephrology</subject></subj-group></subj-group></article-categories><title-group><article-title>Renal Complications and Their Prognosis in Korean Patients with Middle East Respiratory Syndrome-Coronavirus from the Central MERS-CoV Designated Hospital</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0003-2783-2600</contrib-id><name><surname>Cha</surname><given-names>Ran-hui</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0002-5044-2742</contrib-id><name><surname>Joh</surname><given-names>Joon-Sung</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0002-0937-9833</contrib-id><name><surname>Jeong</surname><given-names>Ina</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0002-7026-8235</contrib-id><name><surname>Lee</surname><given-names>Ji Yeon</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-6504-3413</contrib-id><name><surname>Shin</surname><given-names>Hyoung-Shik</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-9788-9800</contrib-id><name><surname>Kim</surname><given-names>Gayeon</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0003-4144-9077</contrib-id><name><surname>Kim</surname><given-names>Yeonjae</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><collab>Critical Care Team of National Medical Center</collab></contrib></contrib-group><aff id="A1"><label>1</label>Division of Nephrology, Department of Internal Medicine, National Medical Center, Seoul, Korea.</aff><aff id="A2"><label>2</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea.</aff><aff id="A3"><label>3</label>Center for Infectious Diseases, National Medical Center, Seoul, Korea.</aff><author-notes><corresp>Address for Correspondence: Ran-hui Cha, MD. Department of Internal Medicine, Seoul National University College of Medicine, 245 Eulji-ro, Jung-gu, Seoul 04564, Korea. Tel: +82.2-2262-4885, Fax: +82.2-2262-4755, <email>reginaprayer@gmail.com</email></corresp></author-notes><pub-date pub-type="ppub"><month>12</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>30</day><month>11</month><year>2015</year></pub-date><volume>30</volume><issue>12</issue><fpage>1807</fpage><lpage>1814</lpage><history><date date-type="received"><day>26</day><month>10</month><year>2015</year></date><date date-type="accepted"><day>06</day><month>11</month><year>2015</year></date></history><permissions><copyright-statement>© 2015 The Korean Academy of Medical Sciences.</copyright-statement><copyright-year>2015</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p>Some cases of Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) infection presented renal function impairment after the first MERS-CoV patient died of progressive respiratory and renal failure. Thus, MERS-CoV may include kidney tropism. However, reports about the natural courses of MERS-CoV infection in terms of renal complications are scarce. We examined 30 MERS-CoV patients admitted to National Medical Center, Korea. We conducted a retrospective analysis of the serum creatinine (SCr), estimated glomerular filtration rate (eGFR), urine dipstick tests, urinary protein quantitation (ACR or PCR), and other clinical parameters in all patients. Two consecutive results of more than trace (or 1+) of albumin and blood on dipstick test occurred in 18 (60%) (12 [40%]) and 22 (73.3%) (19 [63.3%]) patients, respectively. Fifteen (50.0%) patients showed a random urine ACR or PCR more than 100 mg/g Cr. Eight (26.7%) patients showed acute kidney injury (AKI), and the mean and median durations to the occurrence of AKI from symptom onset were 18 and 16 days, respectively. Old age was associated with a higher occurrence of AKI in the univariate analysis (HR [95% CI]: 1.069 [1.013-1.128], <italic>P</italic> = 0.016) and remained a significant predictor of the occurrence of AKI after adjustment for comorbidities and the application of a mechanical ventilator. Diabetes, AKI, and the application of a continuous renal replacement therapy (CRRT) were risk factors for mortality in the univariate analysis (HR [95% CI]: diabetes; 10.133 [1.692-60.697], AKI; 12.744 [1.418-114.565], CRRT; 10.254 [1.626-64.666], respectively). Here, we report renal complications and their prognosis in 30 Korean patients with MERS-CoV.</p></abstract><kwd-group><kwd>Middle</kwd><kwd>East Respiratory Syndrome-Coronavirus</kwd><kwd>Prognosis</kwd><kwd>Renal Complication</kwd></kwd-group></article-meta></front><body><sec sec-type="intro"><title>INTRODUCTION</title><p>An outbreak of Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) swept through South Korea in 2015. A total of 186 MERS-CoV cases occurred from May 20 to Nov. 2, 2015, and 37 (19.9%) patients died of MERS-CoV infection-related complications (Korea Centers for Disease Control and Prevention, <ext-link ext-link-type="uri" xlink:href="http://www.cdc.go.kr">http://www.cdc.go.kr</ext-link>). MERS-CoV was isolated from a Saudi Arabian man who died of progressive respiratory and renal failure in 2012 (<xref rid="B1" ref-type="bibr">1</xref>). Since then, several cases of MERS-CoV infection have shown renal function impairment (<xref rid="B2" ref-type="bibr">2</xref><xref rid="B3" ref-type="bibr">3</xref>), and some of those cases have required renal replacement therapy. In addition, a MERS-CoV outbreak was reported in a hemodialysis unit in Saudi Arabia (<xref rid="B4" ref-type="bibr">4</xref>). Therefore, MERS-CoV may include kidney tropism.</p><p>Dipeptidyl peptidase 4 (DPP 4) was identified as a functional receptor for MERS-CoV (<xref rid="B5" ref-type="bibr">5</xref>). Messenger RNA and protein expression of DPP 4 is high in the kidneys, small intestine, and lungs (<xref rid="B6" ref-type="bibr">6</xref>). DPP 4, which is present on the surfaces of human nonciliated bronchial epithelial cells, is considered a functional receptor for MERS-CoV (<xref rid="B5" ref-type="bibr">5</xref><xref rid="B7" ref-type="bibr">7</xref>). DPP 4 is one of the major brush border membrane proteins in the kidneys (<xref rid="B8" ref-type="bibr">8</xref>) and is also present in glomerular podocytes and capillaries (<xref rid="B9" ref-type="bibr">9</xref>).</p><p>Reports about the natural courses of MERS-CoV infection in terms of renal complications are scarce. Furthermore, there was no previous research that examined the renal pathogenesis of MERS-CoV based on the renal pathologic findings. Here, we aimed to identify renal complications and their prognosis in Korean patients with MERS-CoV in terms of acute kidney injury (AKI), proteinuria, and hematuria.</p></sec><sec sec-type="materials|methods"><title>MATERIALS AND METHODS</title><sec><title>Subjects</title><p>Study subjects were 30 MERS-CoV patients admitted to the National Medical Center, Korea from May to July 2015. We followed up with each patient until expiration or discharge from the hospital. Patients were hospitalized in negative pressure isolation wards and received medical care under standard, contact, and air-borne precautions. Patients were evaluated and managed according to the general guidelines for MERS-CoV patients. Blood pressure, temperature, respiration rate, and pulse rate were monitored regularly after admission. We performed bacterial culture studies (blood, urine, sputum [ordinary bacteria, and acid-fast bacteria stain and culture]) and virus polymerase chain reactions (influenza, parainfluenza, rhinovirus, adenovirus, and MERS-CoV) using upper and lower respiratory specimens. Patients also underwent serial chest X-ray tests, and chest computed tomography was performed when clinically indicated. Serial monitoring of laboratory tests was performed for each patient according to the patient's clinical progress. We prescribed antibiotics and anti-viral agents (interferon-alpha, ribavirin, or lopinavir/ritonavir) as directed by a physician.</p></sec><sec><title>Measurements and definitions</title><p>We reviewed each patient's medical records from the National Medical Center and other hospitals where the patient was previously admitted. MERS-CoV polymerase chain reaction tests were performed at the Korea National Institute of Health. MERS-CoV infection was initially diagnosed according to the criteria recommended by the WHO. All other tests were conducted at the National Medical Center.</p><p>AKI was defined as 2 consecutive increases in IDMS traceable serum creatinine (SCr) greater than 0.3 mg/dL or 2 consecutive decreases in isotope dilution mass spectrometry-modification of diet in renal disease (IDMS-MDRD) estimated glomerular filtration rate (eGFR) that were less than 70% of the initial level during the observation period. Proteinuria and hematuria on dipstick tests were defined as 2 consecutive results of more than trace or 1+ albumin or blood during the observation period. Proteinuria on quantitative evaluation from randomly collected urine was also defined as 2 consecutive microalbumin to creatinine ratio (ACR) or protein to creatinine ratio (PCR) values more than 100 mg/g creatinine (Cr).</p></sec><sec><title>Statistical analysis</title><p>We conducted all statistical analyses using SPSS software (SPSS version 19.0, Chicago, IL, USA). We used the Student <italic>t</italic>-test and the Wilcoxon signed-rank test to determine means and SDs for continuous variables, and the chi-square test for categorical variables. We used a mixed model to test the within- and between-individual differences of repeatedly measured IDMS traceable SCr and eGFR change. We used the Kaplan-Meier survival analysis to determine the cumulative survival probability, and the log-rank test to test the survival difference. In addition, we used standard and time-dependent multivariate Cox proportional-hazards regression analyses based on the enter method. However, when we performed time-dependent multivariate Cox proportional-hazards regression analysis, the application of a mechanical ventilator, continuous renal replacement therapy (CRRT), and extracorporeal membrane oxygenator (ECMO) did not show time interactions with the occurrence of AKI or mortality. We considered <italic>P</italic><0.05 (2 sided) as statistically significant.</p></sec><sec><title>Ethics statement</title><p>The protocol was approved by the institutional review board of National Medical Center, Korea (H-1510-059-001). The informed consent was waived. We conducted this study in compliance with the principles of the Declaration of Helsinki.</p></sec></sec><sec sec-type="results"><title>RESULTS</title><sec><title>Baseline characteristics</title><p>A total of 30 patients were analyzed. The mean and median follow up durations from symptom onset were 31 and 27 (11-81) days, respectively. The mean age was 54 yr, and 17 (56.7%) patients were men. These characteristics were not different from those of the 185 MERS-CoV patients in South Korea (mean age 54 yr, men 58.9%, from WHO released data on 7 July, 2015). The transmission status was as follows: first, 1 (3.3%) patient; second, 6 (20%) patients; third, 12 (40%) patients; fourth, 10 (33.3%) patients; unknown, 1 (3.3%) patient. The mean initial IDMS traceable SCr level was 1.51±2.811 mg/dL, and the mean initial eGFR was 65.4±37.82 mL/min/1.73 m<sup>2</sup>. The prevalence of diabetes, hypertension, and chronic kidney disease (CKD) was 13.3%, 13.3%, and 10%, respectively. Fourteen (46.7%) patients received anti-viral treatment (<xref ref-type="table" rid="T1">Table 1</xref>).</p></sec><sec><title>Proteinuria and hematuria</title><p>Two consecutive results of more than trace or 1+ of albumin on dipstick test occurred during the observation period in 18 (60%) and 12 (40%) patients, respectively (trace in 6 patients, 1+ in 3 patients, 2+ in 6 patients, 3+ in 3 patients). Two consecutive results of more than trace or 1+ of blood on dipstick test occurred in 22 (73.3%) and 19 (63.3%) patients, respectively (trace in 3 patients, 1+ in 4 patients, 2+ in 2 patients, 3+ in 4 patients, 4+ in 9 patients). When we performed protein quantitation from randomly collected urine, 15 (50.0%) patients showed a random urine ACR or PCR more than 100 mg/g Cr during the observation period. Two consecutive results of ACR and PCR values more than 100 mg/g Cr occurred in 11 (36.7%) and 13 (43.3%) patients, respectively. Two consecutive results of ACR or PCR values more than 300 mg/g Cr occurred in 11 (36.7%) and 11 (36.7%), respectively. The progression of random urine ACR and PCR in all the analyzed patients is presented in <xref ref-type="fig" rid="F1">Fig. 1</xref>.</p></sec><sec><title>Acute kidney injury (AKI)</title><p>During the observation period, 8 (26.7%) patients showed AKI according to the criteria defined in this study. The mean and median durations to the occurrence of AKI from symptom onset were 18 and 16 days, respectively. Two consecutive increases of IDMS traceable SCr greater than 0.3 mg/dL occurred in 7 (23.3%) patients and the mean and median durations were 19 and 16 days, respectively. Two consecutive decreases of eGFR that were less than 70% of initial levels occurred in 7 (23.3%) patients, and the mean and median durations were 17 and 15 days, respectively. The progression of IDMS traceable SCr and eGFR in all the analyzed patients is presented in <xref ref-type="fig" rid="F1">Fig. 1C and D</xref>. </p><p>We compared the AKI (n=8) and no AKI (n=22) groups. Patients in the AKI group were older than patients in the no AKI group (<italic>P</italic><0.001). Initial IDMS traceable SCr and eGFR was not different between the two groups (<italic>P</italic>=0.91 and 0.87, respectively), and the progression of those values between the two groups did not show a statistically significant time interaction during the observation period (<xref ref-type="fig" rid="F2">Fig. 2A and B</xref>). The prevalence of diabetes, hypertension, and CKD was not different between the two groups. The durations to negative results of MERS-CoV polymerase chain reaction from upper or lower respiratory specimens were 29 days in the AKI group and 21 days in the no AKI group (<italic>P</italic>=0.12). Random urine ACR more than 100 or 300 mg/g Cr was more frequently observed in the AKI group than in the no AKI group (<italic>P</italic>=0.028). The characteristics between the two groups are presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p><p>Diabetes, hypertension, and CKD did not show significant differences in the cumulative rate of AKI occurrence (log-rank <italic>P</italic>=0.14, 0.15, and 0.06, respectively). The presence of any comorbidity showed marginal significance in the cumulative rate of AKI occurrence (log-rank <italic>P</italic>=0.05).</p><p>Old age was associated with a higher occurrence of AKI in the univariate analysis (HR [95% CI]: 1.07 [1.01-1.13], <italic>P</italic>=0.016). Other factors including sex, diabetes, CKD, and the application of a mechanical ventilator were not significant risk factors of AKI. Old age remained a significant predictor of the occurrence of AKI after adjustment for comorbidities and the application of a mechanical ventilator (<xref ref-type="table" rid="T3">Table 3</xref>).</p></sec><sec><title>Organ replacement therapies</title><p>A mechanical ventilator was applied to 12 (40.0%) patients, and 3 (10.0%) patients underwent CRRT. An ECMO was applied to 5 (16.7%) patients. Five patients received only mechanical ventilator therapy, 2 received mechanical ventilator and CRRT therapies, and 4 received mechanical ventilator and ECMO therapies. One patient received mechanical ventilator, CRRT, and ECMO therapies. Baseline characteristics of the 3 patients who underwent CRRT were as follows: #1, 71-yr old male who had diabetes, hypertension, CKD, and heart disease; #2, 76-yr old male who had CKD, chronic pulmonary disease, and chronic liver disease; #3, 86-yr old male who had diabetes, hypertension, and heart disease. The progression of IDMS traceable SCr and eGFR according to the application of CRRT did not show a statistically significant time interaction during the observation period (<xref ref-type="fig" rid="F2">Fig. 2C and D</xref>).</p></sec><sec><title>Mortality</title><p>Five patients died of septic shock progression and multiple organ failure and the median duration to death from symptom onset was 15 (<xref rid="B11" ref-type="bibr">11</xref><xref rid="B12" ref-type="bibr">12</xref><xref rid="B13" ref-type="bibr">13</xref><xref rid="B14" ref-type="bibr">14</xref><xref rid="B15" ref-type="bibr">15</xref><xref rid="B16" ref-type="bibr">16</xref>). Among these 5 patients, 2 received mechanical ventilator and CRRT therapies, 1 received mechanical ventilator and ECMO therapies, and 1 patient received all of mechanical ventilator, CRRT, and ECMO therapies. One patient refused all life extension therapies. Two (40.0%) patients received anti-viral treatment, whereas 12 (48.0%) of the surviving patients received anti-viral treatment (<italic>P</italic>=1.0).</p><p>The progression of IDMS traceable SCr and eGFR between the dead and alive patients did not show a statistically significant time interaction (<xref ref-type="fig" rid="F2">Fig. 2E and F</xref>). Those values between dead and alive patients in the AKI group were not statistically significant during the observation period, either (<xref ref-type="fig" rid="F2">Fig. 2G and H</xref>). The occurrence of AKI showed marginal significance in the cumulative rate of mortality analysis (log-rank <italic>P</italic>=0.06). Diabetes, the occurrence of AKI, and the application of CRRT were risk factors for mortality when we performed the univariate analysis (HR [95% CI]: diabetes; 10.13 [1.69-60.70], AKI; 12.74 [1.42-114.57], CRRT; 10.25 [1.63-64.67], respectively). However, these risk factors were not statistically significant after adjustment for age, sex, CKD, and the application of a mechanical ventilator and ECMO.</p></sec></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>Among the 30 patients analyzed in the present study, 60% and 73.3% showed positive results of albumin and blood on dipstick tests; 50% of patients showed a random urine ACR or PCR more than 100 mg/g Cr. Moreover, 26.7% of patients showed AKI, and the mean and median durations from symptom onset were 18 and 16 days, respectively. Old age was a predictor of the occurrence of AKI even after adjustment for comorbidities and the application of a mechanical ventilator. Mechanical ventilator, CRRT, and ECMO therapies were applied to 12 (40%), 3 (10%), and 5 (16.7%) patients, respectively. A total of 5 patients died of septic shock progression and multiple organ failure. Diabetes, the occurrence of AKI, and the application of CRRT were risk factors predicting mortality in the univariate analysis.</p><p>The first case of MERS-CoV infection had progressive impairment of renal function. This was similar to what had been described in some patients with severe acute respiratory syndrome (SARS-CoV) and suggested direct infection of renal tissue by the virus (<xref rid="B1" ref-type="bibr">1</xref>). Some patients with MERS-CoV infection who presented with severe pneumonia and acute respiratory distress syndrome have had AKI thereafter (<xref rid="B2" ref-type="bibr">2</xref><xref rid="B3" ref-type="bibr">3</xref><xref rid="B4" ref-type="bibr">4</xref><xref rid="B10" ref-type="bibr">10</xref><xref rid="B11" ref-type="bibr">11</xref><xref rid="B12" ref-type="bibr">12</xref>).</p><p>Kidney involvement of human coronavirus was noticed when the SARS-CoV epidemic occurred in early 2000. A report that analyzed 536 patients with SARS-CoV showed 6.7% of acute renal impairment and 84.6% of proteinuria by dipstick tests (<xref rid="B13" ref-type="bibr">13</xref>). Acute respiratory distress syndrome and age were significant risk factors for acute renal impairment, and acute renal impairment was an independent risk factor predicting mortality. However, kidney specimens from autopsy cases showed no viral inclusions or electron dense deposits. Even in situ hybridization failed to demonstrate SARS-CoV. This suggested that renal insult occurred in the context of multiple organ failure. Another report also stated that the decrease in glomerular filtration rate was secondary to hypotension, vasoconstriction, and sepsis (<xref rid="B14" ref-type="bibr">14</xref>). However, another study detected SARS-CoV in distal convoluted renal tubules (<xref rid="B15" ref-type="bibr">15</xref>).</p><p>SARS-CoV patients developed AKI at a median duration of 20 days from the onset of viral infection, i.e., the late viremic or the hyperimmune response phase of the infection (<xref rid="B16" ref-type="bibr">16</xref>). The detection of polymerase chain reaction fragments of coronavirus in urine from 21%-50% of SARS patients between the second and third week of the viral infection implied a possibility of kidney tropism of the coronavirus (<xref rid="B14" ref-type="bibr">14</xref>). Unfortunately, MERS-CoV polymerase chain reaction from urine was performed in only one patient 6 weeks after symptom onset in this cohort to ensure the virus absence from various specimens, and it was negative. We can conclude that the renal pathological changes associated with human coronavirus may be caused directly by the cytopathic effect mediated by virus replication, as well as indirectly by a systemic toxic reaction resulting from respiratory failure or a harmful immune response and cytokine reaction induced by viral infection.</p><p>Organ tropism of human coronavirus is primarily determined by the ability of the receptor binding protein, such as spike entry protein (MERS-CoV), to a cell surface receptor (<xref rid="B5" ref-type="bibr">5</xref>). Angiotentin converting enzyme 2 is a functional receptor for SARS-CoV (<xref rid="B17" ref-type="bibr">17</xref>), and it is expressed in human kidneys (<xref rid="B18" ref-type="bibr">18</xref>). DPP 4 was identified as a functional receptor for MERS-CoV (<xref rid="B5" ref-type="bibr">5</xref>). DPP 4 is a widely expressed serine peptidase that exists on the surface of various cell types, and the expression of messenger RNA and protein is high in the kidneys (<xref rid="B6" ref-type="bibr">6</xref><xref rid="B19" ref-type="bibr">19</xref>). DPP 4 is one of the major brush border membrane proteins of the kidney (<xref rid="B8" ref-type="bibr">8</xref>), but it is also present in the glomerular podocytes and capillaries (<xref rid="B9" ref-type="bibr">9</xref>). DPP 4, which is present on the surfaces of human bronchial epithelial cells, was previously co-stained with MERS-CoV (<xref rid="B20" ref-type="bibr">20</xref>) and a MERS-CoV infected human kidney cell line (<xref rid="B21" ref-type="bibr">21</xref>). We performed kidney biopsy in one patient to evaluate persistent proteinuria 8 weeks after symptom onset, which failed to reveal virus particles that were co-stained with DPP 4 in compatible ultrastructures. However, the interpretation for these results was limited by autolysis of the tissues and a direct involvement of the kidneys by the MERS-CoV could not be ruled out.</p><p>More than 25% of the patients in the present study showed AKI, which is higher than the AKI incidence of SARS-CoV infection (<xref rid="B13" ref-type="bibr">13</xref>). One explanation for the difference in AKI incidence may be the different criteria used to define AKI. In that study, AKI was defined as a SCr elevation at least 30% of the baseline value on admission (3 consecutive blood samplings) or above 1.8 mg/dL. When we adopted the same definition in the present cohort, AKI occurred in 7 patients (23.3%), which is still higher than the AKI incidence of SARS-CoV infection. Another explanation may be the older age of MERS-CoV patients in the present study. The mean age was 54 yr in the present cohort and approximately 39 yr in the SARS-CoV cohort. Because age was an independent risk factor for AKI in both studies, the older age of MERS-CoV patients might explain the higher incidence of AKI in the present study. In a previous study, a patient whose viral RNA was not detected in whole blood or urine samples had a more favorable outcome than a patient who showed disseminated viral infection (<xref rid="B22" ref-type="bibr">22</xref>). The investigators in that study concluded that a type-1 interferon mediated response triggered by MERS-CoV might limit the viral disease to the lung and prevent systemic dissemination and viremia. A decreased immune response in older patients may play a role in the higher occurrence of AKI through viremia and urinary viral excretion, though we did not assess serial viral RNA in blood and urine. In addition, this cohort was from central MERS-CoV designated hospital and we cannot rule out that patients in this cohort had more underlying diseases than other MERS-CoV patients in Korea and that the incidence of AKI occurrence might be overestimated.</p><p>On the contrary, 58% of MERS-CoV patients underwent CRRT therapy in a previous cohort (<xref rid="B10" ref-type="bibr">10</xref>). In this cohort, CRRT therapy was applied to only 10% of patients. The difference in the incidence of patients who required renal replacement therapy can be explained by two reasons. Previous cohort was ICU admitted patients, and baseline characteristics between two cohorts were quite different. The prevalence of diabetes, hypertension, and renal disease were 67%, 50%, and 42%, respectively. It is much higher than that of our cohort.</p><p>The mean and median durations of AKI occurrence were approximately 3 weeks from symptom onset, consistent with the values reported for SARS-CoV (<xref rid="B13" ref-type="bibr">13</xref><xref rid="B16" ref-type="bibr">16</xref>). One report showed that MERS-CoV PCR was positive after 3 weeks in the blood of 1 patient (<xref rid="B22" ref-type="bibr">22</xref>). We speculate that the duration between symptom onset and AKI occurrence coincides with the late viremic or hyperimmune response phase of the infection, as was the case for SARS-CoV did. However, we did not assess serial viremia and cytokines.</p><p>A considerable prevalence of proteinuria is also consistent with the results of a previous SARS-CoV study (<xref rid="B13" ref-type="bibr">13</xref>), though a quantitative assessment of urinary protein excretion was not performed in that study. The highest mean levels of random urine were 1,986 mg/g Cr for ACR, which occurred 4 days after symptom onset, and 6,105 mg/g Cr for PCR, which occurred 27 days after symptom onset. Early phase high albumin excretion may be related to fever and systemic inflammatory status, and high-level proteinuria approximately 3 weeks after symptom onset may be associated with viremia or urinary virus excretion, which was similar to the occurrence of AKI (<xref rid="B16" ref-type="bibr">16</xref>). However, we did not assess serial viremic status, and a blood sample 6 weeks after symptom onset was negative for MERS-CoV polymerase chain reaction. The detection rates of SARS-CoV in blood samples were only 21%-50% between the second and third weeks after viral infection (<xref rid="B14" ref-type="bibr">14</xref>). A direct involvement of the kidneys by the MERS-CoV could not be ruled out, because we performed the blood assay 6 weeks after symptom onset.</p><p>This study has several limitations. First, there was some loss of data and evaluations of renal complications were not consistent between our institute and hospitals where patients were previously admitted. Second, we received only a positive status for MERS-CoV polymerase chain reaction tests, except for Ct values. Therefore, we could not assess correlations between viral load and the renal complications. Third, we did not have compatible renal pathology data. Therefore, we cannot draw a conclusion about the direct effect of the virus on renal complications.</p><p>In conclusion, half of the patients in the present study showed proteinuria, and more than one-fourth of the patients developed AKI. The incidence of AKI was not uncommon, and AKI can be affected by factors including the virus itself, associated systemic inflammation, and hypotension. Meticulous evaluation and management of kidney damage such as quantitative assessment of proteinuria and frequent monitoring of eGFR is earnestly needed. Old age is an independent risk factor for the occurrence of AKI; diabetes, AKI, and the application of CRRT are negative prognostic indicators for survival with MERS-CoV. Further studies are needed to reveal the direct effects of MERS-CoV on renal complications.</p></sec></body><back><ack><title>ACKNOWLEDGMENTS</title><p>We thank to our Critical Care Team colleagues from the National Medical Center, Korea who provided their insight and expertise when we treated MERS-CoV patients.</p></ack><fn-group><fn fn-type="conflict"><p><bold>DISCLOSURE:</bold> The authors have no potential conflicts of interest to disclose.</p></fn><fn fn-type="participating-researchers"><p><bold>AUTHOR CONTRIBUTION:</bold> Study concept and design of article: Cha R. Data collection and analysis: Cha R, Joh JS, Jeong I, Lee JY, Shin HS, Kim G, Kim Y. Writing draft: Cha R. Revision: Cha R. 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(<bold>A</bold>) Mean random urine albumin to creatinine ratio. (<bold>B</bold>) Mean random urine protein to creatinine ratio. (<bold>C</bold>) Mean IDMS traceable serum creatinine. (<bold>D</bold>) Mean estimated glomerular filtration rate (eGFR) calculated by IDMS-MDRD equation throughout the observation period. Each point stands for the mean (least square) and standard error (error bar). Gray dot line indicates day 52 from symptom onset and data after that day are from one patient.</title></caption><graphic xlink:href="jkms-30-1807-g001"></graphic></fig><fig id="F2" orientation="portrait" position="float"><label>Fig. 2</label><caption><title>The comparison of IDMS traceable serum creatinine and estimated GFR according to the occurrence of AKI and mortality. (<bold>A</bold>, <bold>B</bold>) Mean IDMS traceable serum creatinine (SCr) and IDMS-MDRD estimated glomerular filtration rate (eGFR) between the AKI and no AKI group. (<bold>C</bold>, <bold>D</bold>) Mean IDMS traceable SCr and IDMS-MDRD eGFR according to the application of CRRT. (<bold>E</bold>, <bold>F</bold>) Mean IDMS traceable SCr and IDMS-MDRD eGFR between dead and alive patients. (<bold>G</bold>, <bold>H</bold>) Mean IDMS traceable SCr and IDMS-MDRD eGFR between dead and alive patients in the AKI group.</title></caption><graphic xlink:href="jkms-30-1807-g002"></graphic></fig><table-wrap id="T1" orientation="portrait" position="float"><label>Table 1</label><caption><title>The characteristics of all the analyzed patients</title></caption><alternatives><graphic xlink:href="jkms-30-1807-i001"></graphic><table frame="hsides" rules="rows"><thead><tr><th valign="top" align="left" rowspan="1" colspan="2">Characteristics</th><th valign="top" align="center" rowspan="1" colspan="1">No. (%) of patients (n = 30)</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="2">Follow up duration (day) (mean [median])</td><td valign="top" align="center" rowspan="1" colspan="1">31 (27 [11-81])</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Age (yr)</td><td valign="top" align="center" rowspan="1" colspan="1">54 ± 20.7</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Male (%)</td><td valign="top" align="center" rowspan="1" colspan="1">17 (56.7)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Healthcare worker</td><td valign="top" align="center" rowspan="1" colspan="1">1 (3.3)</td></tr><tr><td valign="top" align="left" rowspan="5" colspan="1">Transmission</td><td valign="top" align="left" rowspan="1" colspan="1">First</td><td valign="top" align="center" rowspan="1" colspan="1">1 (3.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Second</td><td valign="top" align="center" rowspan="1" colspan="1">6 (20)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Third</td><td valign="top" align="center" rowspan="1" colspan="1">12 (40)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Fourth</td><td valign="top" align="center" rowspan="1" colspan="1">10 (33.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Unknown</td><td valign="top" align="center" rowspan="1" colspan="1">1 (3.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Initial IDMS traceable SCr (mg/dL)</td><td valign="top" align="center" rowspan="1" colspan="1">1.51 ± 2.811</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Initial eGFR (IDMS-MDRD) (mL/min/1.73 m<sup>2</sup>)</td><td valign="top" align="center" rowspan="1" colspan="1">65.4 ± 37.82</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Diabetes</td><td valign="top" align="center" rowspan="1" colspan="1">4 (13.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Hypertension</td><td valign="top" align="center" rowspan="1" colspan="1">4 (13.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Chronic kidney disease</td><td valign="top" align="center" rowspan="1" colspan="1">3 (10.0)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Chronic pulmonary disease</td><td valign="top" align="center" rowspan="1" colspan="1">2 (6.7)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Heart disease</td><td valign="top" align="center" rowspan="1" colspan="1">4 (13.3)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Anti-viral treatment</td><td valign="top" align="center" rowspan="1" colspan="1">14 (46.7)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2"> Ribavirin</td><td valign="top" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2"> IFN-α + ribavirin</td><td valign="top" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2"> IFN-α + ribavirin + lopinavir/ritonavir</td><td valign="top" align="center" rowspan="1" colspan="1">5</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2"> Ribavirin + lopinavir/ritonavir</td><td valign="top" align="center" rowspan="1" colspan="1">5</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p>eGFR, estimated GFR; IDMS, isotope dilution mass spectrometry; IFN-α, interferon-alpha; MDRD, modification of diet in renal disease; SCr, serum creatinine.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" orientation="portrait" position="float"><label>Table 2</label><caption><title>The comparison of characteristics between the acute kidney injury (AKI) and the no AKI groups</title></caption><alternatives><graphic xlink:href="jkms-30-1807-i002"></graphic><table frame="hsides" rules="rows"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1">Characteristics</th><th valign="top" align="center" rowspan="1" colspan="1">AKI (n = 8)</th><th valign="top" align="center" rowspan="1" colspan="1">no AKI (n = 22)</th><th valign="top" align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">Age (yr)</td><td valign="top" align="center" rowspan="1" colspan="1">73 ± 10.9</td><td valign="top" align="center" rowspan="1" colspan="1">47 ± 19.2</td><td valign="top" align="center" rowspan="1" colspan="1">< 0.001</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Male (%)</td><td valign="top" align="center" rowspan="1" colspan="1">5 (62.5)</td><td valign="top" align="center" rowspan="1" colspan="1">12 (54.5)</td><td valign="top" align="center" rowspan="1" colspan="1">1.0</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">MERS-CoV polymerase chain reaction<break></break> Negative conversion duration (day)</td><td valign="top" align="center" rowspan="1" colspan="1">29 ± 14.3</td><td valign="top" align="center" rowspan="1" colspan="1">21 ± 7.2</td><td valign="top" align="center" rowspan="1" colspan="1">0.13</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Initial IDMS traceable SCr (mg/dL)</td><td valign="top" align="center" rowspan="1" colspan="1">1.60 ± 2.087</td><td valign="top" align="center" rowspan="1" colspan="1">1.47 ± 3.074</td><td valign="top" align="center" rowspan="1" colspan="1">0.92</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Initial eGFR (IDMS-MDRD) (mL/min/1.73 m<sup>2</sup>)</td><td valign="top" align="center" rowspan="1" colspan="1">63.5 ± 34.96</td><td valign="top" align="center" rowspan="1" colspan="1">66.1 ± 39.57</td><td valign="top" align="center" rowspan="1" colspan="1">0.87</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Diabetes (%)</td><td valign="top" align="center" rowspan="1" colspan="1">2 (25)</td><td valign="top" align="center" rowspan="1" colspan="1">2 (9.1)</td><td valign="top" align="center" rowspan="1" colspan="1">0.28</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Hypertension (%)</td><td valign="top" align="center" rowspan="1" colspan="1">4 (50)</td><td valign="top" align="center" rowspan="1" colspan="1">4 (18.2)</td><td valign="top" align="center" rowspan="1" colspan="1">0.10</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">CKD (%)</td><td valign="top" align="center" rowspan="1" colspan="1">2 (25)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (4.5)</td><td valign="top" align="center" rowspan="1" colspan="1">0.17</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Any morbidity (%)</td><td valign="top" align="center" rowspan="1" colspan="1">5 (62.5)</td><td valign="top" align="center" rowspan="1" colspan="1">5 (22.7)</td><td valign="top" align="center" rowspan="1" colspan="1">0.06</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Anti-viral treatment</td><td valign="top" align="center" rowspan="1" colspan="1">4 (50.0)</td><td valign="top" align="center" rowspan="1" colspan="1">10 (45.5)</td><td valign="top" align="center" rowspan="1" colspan="1">1.0</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Random urine protein quantitation</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">ACR or PCR ≥ 100 mg/g Cr</td><td valign="top" align="center" rowspan="1" colspan="1">6 (75.0)</td><td valign="top" align="center" rowspan="1" colspan="1">9 (70.9)</td><td valign="top" align="center" rowspan="1" colspan="1">0.22</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1"> ACR ≥ 100 mg/g Cr</td><td valign="top" align="center" rowspan="1" colspan="1">6 (75.0)</td><td valign="top" align="center" rowspan="1" colspan="1">5 (22.7)</td><td valign="top" align="center" rowspan="1" colspan="1">0.028</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1"> ACR ≥ 300 mg/g Cr</td><td valign="top" align="center" rowspan="1" colspan="1">6 (75.0)</td><td valign="top" align="center" rowspan="1" colspan="1">5 (22.7)</td><td valign="top" align="center" rowspan="1" colspan="1">0.028</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1"> PCR ≥ 100 mg/g Cr</td><td valign="top" align="center" rowspan="1" colspan="1">5 (62.5)</td><td valign="top" align="center" rowspan="1" colspan="1">8 (36.4)</td><td valign="top" align="center" rowspan="1" colspan="1">0.24</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1"> PCR ≥ 300 mg/g Cr</td><td valign="top" align="center" rowspan="1" colspan="1">5 (62.5)</td><td valign="top" align="center" rowspan="1" colspan="1">6 (27.3)</td><td valign="top" align="center" rowspan="1" colspan="1">0.10</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p>ACR, albumin to creatinine ratio; CKD, chronic kidney disease; eGFR, estimated GFR; IDMS, isotope dilution mass spectrometry; MDRD, modification of diet in renal disease; PCR, protein to creatinine ratio; SCr, serum creatinine.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" orientation="portrait" position="float"><label>Table 3</label><caption><title>Cox proportional-hazard analysis of the occurrence of acute kidney injury</title></caption><alternatives><graphic xlink:href="jkms-30-1807-i003"></graphic><table frame="hsides" rules="rows"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1">Variables</th><th valign="top" align="center" rowspan="1" colspan="1">HR (95% CI)</th><th valign="top" align="center" rowspan="1" colspan="1"><italic>P</italic> value</th><th valign="top" align="center" rowspan="1" colspan="1">HR (95% CI)</th><th valign="top" align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">Age (yr)</td><td valign="top" align="center" rowspan="1" colspan="1">1.14 (1.00-1.29)</td><td valign="top" align="left" rowspan="1" colspan="1">0.048</td><td valign="top" align="center" rowspan="1" colspan="1">1.12 (1.01-1.24)</td><td valign="top" align="left" rowspan="1" colspan="1">0.032</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Sex (female)</td><td valign="top" align="center" rowspan="1" colspan="1">81.21 (1.67-3,938)</td><td valign="top" align="left" rowspan="1" colspan="1">0.026</td><td valign="top" align="center" rowspan="1" colspan="1">11.734 (0.93-148.42)</td><td valign="top" align="left" rowspan="1" colspan="1">0.06</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">CKD</td><td valign="top" align="center" rowspan="1" colspan="1">17.48 (0.88-345.46)</td><td valign="top" align="left" rowspan="1" colspan="1">0.06</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="left" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Diabetes</td><td valign="top" align="center" rowspan="1" colspan="1">1.00 (0.11-9.21)</td><td valign="top" align="left" rowspan="1" colspan="1">0.99</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="left" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Hypertension</td><td valign="top" align="center" rowspan="1" colspan="1">2.46 (0.25-24.36)</td><td valign="top" align="left" rowspan="1" colspan="1">0.44</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="left" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Comorbidity</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="left" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1">1.84 (0.40-8.50)</td><td valign="top" align="left" rowspan="1" colspan="1">0.43</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">eGFR (IDMS-MDRD)</td><td valign="top" align="center" rowspan="1" colspan="1">1.06 (1.00-1.12)</td><td valign="top" align="left" rowspan="1" colspan="1">0.041</td><td valign="top" align="center" rowspan="1" colspan="1">1.03 (0.99-1.06)</td><td valign="top" align="left" rowspan="1" colspan="1">0.13</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Mechanical ventilator</td><td valign="top" align="center" rowspan="1" colspan="1">14.93 (0.66-336.73)</td><td valign="top" align="left" rowspan="1" colspan="1">0.09</td><td valign="top" align="center" rowspan="1" colspan="1">9.47 (0.76-117.85)</td><td valign="top" align="left" rowspan="1" colspan="1">0.08</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p>CI, confidence interval; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; HR, hazard ratio; IDMS, isotope dilution mass spectrometry; MDRD, modification of diet in renal disease.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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