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Predictors of viral pneumonia: The need for viral testing in all patients hospitalized for nursing home‐acquired pneumonia

Identifieur interne : 000667 ( Pmc/Corpus ); précédent : 000666; suivant : 000668

Predictors of viral pneumonia: The need for viral testing in all patients hospitalized for nursing home‐acquired pneumonia

Auteurs : Hon Ming Ma ; Kin Ping Lee ; Jean Woo

Source :

RBID : PMC:7165925

Abstract

Aim

Community‐acquired pneumonia (CAP) is presumed to be bacterial in origin and empirical antibiotics are almost always given on admission. However, early detection of viral infection is also very important for hospital infection control and timely use of antiviral agents. The present study aimed to compare patients with viral and bacterial pneumonia, and identify independent predictors of viral pneumonia.

Methods

A prospective cohort study was carried out in a tertiary teaching hospital in a 1‐year period. Older patients (aged ≥65 years) were recruited if they were admitted for CAP confirmed by chest radiographs.

Results

A cohort of 488 patients was analyzed. Infective causes were found in 137 (28.1%) patients. Bacterial, viral and mixed infections were detected in 86 (17.6%), 41 (8.4%) and 10 (2.0%) patients, respectively. Bacteriology was established mostly by sputum culture and virology by nasopharyngeal aspirate (NPA) viral culture. The commonest bacterial isolates were Haemophilus influenzae (31), Pseudomonas aeruginosa (15), Mycobacterium tuberculosis (14), Klebsiella spp. (9) and Streptococcus pneumoniae (6). Influenza A virus (28, 8 were pandemic 2009 A/H1N1 subtype) and respiratory syncytial virus (16) were the most frequent viral causes. Independent predictors of viral pneumonia included nursing home residence (RR 3.056, P = 0.009) and absence of leukocytosis (RR 0.425, P = 0.026).

Conclusions

All nursing home residents hospitalized for CAP should undergo NPA viral testing because of infection control, early antiviral treatment and discharge planning. We suggest that empirical antiviral agents might be considered for nursing home residents hospitalized for CAP if outbreaks of influenza‐like illness are reported in nursing homes. Geriatr Gerontol Int 2013; 13: 949–957.


Url:
DOI: 10.1111/ggi.12036
PubMed: 23441872
PubMed Central: 7165925

Links to Exploration step

PMC:7165925

Le document en format XML

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<title>Aim</title>
<p>Community‐acquired pneumonia (
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) is presumed to be bacterial in origin and empirical antibiotics are almost always given on admission. However, early detection of viral infection is also very important for hospital infection control and timely use of antiviral agents. The present study aimed to compare patients with viral and bacterial pneumonia, and identify independent predictors of viral pneumonia.</p>
</sec>
<sec id="ggi12036-sec-0002">
<title>Methods</title>
<p>A prospective cohort study was carried out in a tertiary teaching hospital in a 1‐year period. Older patients (aged ≥65 years) were recruited if they were admitted for
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
confirmed by chest radiographs.</p>
</sec>
<sec id="ggi12036-sec-0003">
<title>Results</title>
<p>A cohort of 488 patients was analyzed. Infective causes were found in 137 (28.1%) patients. Bacterial, viral and mixed infections were detected in 86 (17.6%), 41 (8.4%) and 10 (2.0%) patients, respectively. Bacteriology was established mostly by sputum culture and virology by nasopharyngeal aspirate (
<styled-content style="fixed-case" toggle="no">NPA</styled-content>
) viral culture. The commonest bacterial isolates were
<italic>
<styled-content style="fixed-case" toggle="no">H</styled-content>
aemophilus influenzae</italic>
(31),
<italic>
<styled-content style="fixed-case" toggle="no">P</styled-content>
seudomonas aeruginosa</italic>
(15),
<italic>
<styled-content style="fixed-case" toggle="no">M</styled-content>
ycobacterium tuberculosis</italic>
(14),
<italic>Klebsiella</italic>
spp. (9) and
<italic>
<styled-content style="fixed-case" toggle="no">S</styled-content>
treptococcus pneumoniae</italic>
(6). Influenza 
<styled-content style="fixed-case" toggle="no">A</styled-content>
virus (28, 8 were pandemic 2009
<styled-content style="fixed-case" toggle="no">A/H1N1</styled-content>
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<styled-content style="fixed-case" toggle="no">RR</styled-content>
3.056,
<italic>P</italic>
 = 0.009) and absence of leukocytosis (
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0.425,
<italic>P</italic>
 = 0.026).</p>
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<title>Conclusions</title>
<p>All nursing home residents hospitalized for
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should undergo
<styled-content style="fixed-case" toggle="no">NPA</styled-content>
viral testing because of infection control, early antiviral treatment and discharge planning. We suggest that empirical antiviral agents might be considered for nursing home residents hospitalized for
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
if outbreaks of influenza‐like illness are reported in nursing homes.
<bold>Geriatr Gerontol Int 2013; 13: 949–957.</bold>
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<journal-id journal-id-type="iso-abbrev">Geriatr Gerontol Int</journal-id>
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<journal-title>Geriatrics & Gerontology International</journal-title>
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<publisher-name>John Wiley and Sons Inc.</publisher-name>
<publisher-loc>Hoboken</publisher-loc>
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<subj-group subj-group-type="heading">
<subject>Original Articles: Epidemiology, Clinical Practice and Health</subject>
</subj-group>
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<subject>Original Article: Epidemiology, Clinical Practice and Health</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictors of viral pneumonia: The need for viral testing in all patients hospitalized for nursing home‐acquired pneumonia</article-title>
<alt-title alt-title-type="right-running-head">Viral infection in NHAP</alt-title>
<alt-title alt-title-type="left-running-head">HM Ma
<italic>et al</italic>
.</alt-title>
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<contrib-group>
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<name>
<surname>Ma</surname>
<given-names>Hon Ming</given-names>
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<xref ref-type="aff" rid="ggi12036-aff-0001">
<sup>1</sup>
</xref>
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<name>
<surname>Lee</surname>
<given-names>Kin Ping</given-names>
</name>
<xref ref-type="aff" rid="ggi12036-aff-0002">
<sup>2</sup>
</xref>
</contrib>
<contrib id="ggi12036-cr-0003" contrib-type="author">
<name>
<surname>Woo</surname>
<given-names>Jean</given-names>
</name>
<xref ref-type="aff" rid="ggi12036-aff-0001">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="ggi12036-aff-0001">
<label>
<sup>1</sup>
</label>
<named-content content-type="organisation-division">Department of Medicine and Therapeutics</named-content>
<institution>Prince of Wales Hospital</institution>
<institution>The Chinese University of Hong Kong</institution>
<city>Hong Kong SAR</city>
<country country="CN">China</country>
</aff>
<aff id="ggi12036-aff-0002">
<label>
<sup>2</sup>
</label>
<named-content content-type="organisation-division">Department of Microbiology</named-content>
<institution>Prince of Wales Hospital</institution>
<institution>The Chinese University of Hong Kong</institution>
<city>Hong Kong SAR</city>
<country country="CN">China</country>
</aff>
<author-notes>
<corresp id="correspondenceTo">
<label>*</label>
Correspondence: Dr Ma Hon Ming MBChB MRCP MSc MPH, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. Email:
<email>hmma@cuhk.edu.hk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>2</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub">
<month>10</month>
<year>2013</year>
</pub-date>
<volume>13</volume>
<issue>4</issue>
<issue-id pub-id-type="doi">10.1111/ggi.2013.13.issue-4</issue-id>
<fpage>949</fpage>
<lpage>957</lpage>
<history>
<date date-type="accepted">
<day>13</day>
<month>12</month>
<year>2012</year>
</date>
</history>
<permissions>
<pmc-comment> Copyright © 2013 Japan Geriatrics Society </pmc-comment>
<copyright-statement content-type="article-copyright">© 2013 Japan Geriatrics Society</copyright-statement>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="file://GGI-13-949.pdf"></self-uri>
<abstract>
<sec id="ggi12036-sec-0001">
<title>Aim</title>
<p>Community‐acquired pneumonia (
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
) is presumed to be bacterial in origin and empirical antibiotics are almost always given on admission. However, early detection of viral infection is also very important for hospital infection control and timely use of antiviral agents. The present study aimed to compare patients with viral and bacterial pneumonia, and identify independent predictors of viral pneumonia.</p>
</sec>
<sec id="ggi12036-sec-0002">
<title>Methods</title>
<p>A prospective cohort study was carried out in a tertiary teaching hospital in a 1‐year period. Older patients (aged ≥65 years) were recruited if they were admitted for
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
confirmed by chest radiographs.</p>
</sec>
<sec id="ggi12036-sec-0003">
<title>Results</title>
<p>A cohort of 488 patients was analyzed. Infective causes were found in 137 (28.1%) patients. Bacterial, viral and mixed infections were detected in 86 (17.6%), 41 (8.4%) and 10 (2.0%) patients, respectively. Bacteriology was established mostly by sputum culture and virology by nasopharyngeal aspirate (
<styled-content style="fixed-case" toggle="no">NPA</styled-content>
) viral culture. The commonest bacterial isolates were
<italic>
<styled-content style="fixed-case" toggle="no">H</styled-content>
aemophilus influenzae</italic>
(31),
<italic>
<styled-content style="fixed-case" toggle="no">P</styled-content>
seudomonas aeruginosa</italic>
(15),
<italic>
<styled-content style="fixed-case" toggle="no">M</styled-content>
ycobacterium tuberculosis</italic>
(14),
<italic>Klebsiella</italic>
spp. (9) and
<italic>
<styled-content style="fixed-case" toggle="no">S</styled-content>
treptococcus pneumoniae</italic>
(6). Influenza 
<styled-content style="fixed-case" toggle="no">A</styled-content>
virus (28, 8 were pandemic 2009
<styled-content style="fixed-case" toggle="no">A/H1N1</styled-content>
subtype) and respiratory syncytial virus (16) were the most frequent viral causes. Independent predictors of viral pneumonia included nursing home residence (
<styled-content style="fixed-case" toggle="no">RR</styled-content>
3.056,
<italic>P</italic>
 = 0.009) and absence of leukocytosis (
<styled-content style="fixed-case" toggle="no">RR</styled-content>
0.425,
<italic>P</italic>
 = 0.026).</p>
</sec>
<sec id="ggi12036-sec-0004">
<title>Conclusions</title>
<p>All nursing home residents hospitalized for
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
should undergo
<styled-content style="fixed-case" toggle="no">NPA</styled-content>
viral testing because of infection control, early antiviral treatment and discharge planning. We suggest that empirical antiviral agents might be considered for nursing home residents hospitalized for
<styled-content style="fixed-case" toggle="no">CAP</styled-content>
if outbreaks of influenza‐like illness are reported in nursing homes.
<bold>Geriatr Gerontol Int 2013; 13: 949–957.</bold>
</p>
</sec>
</abstract>
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<body id="ggi12036-body-0001">
<sec id="ggi12036-sec-0005">
<title>Introduction</title>
<p>The metaphor of pneumonia as an old man's friend was invented by Sir William Osler a century ago. Pneumonia was a frequent and potentially life‐threatening illness of the aged.
<xref rid="ggi12036-bib-0001" ref-type="ref">1</xref>
Nowadays, it is still an important cause of mortality and morbidity of older persons. Community‐acquired pneumonia (CAP) is presumed to be infective in origin. The rates of identifying infective etiology varied considerably, from 28% to 53%, in previous studies on CAP in older patients.
<xref rid="ggi12036-bib-0002" ref-type="ref">2</xref>
,
<xref rid="ggi12036-bib-0003" ref-type="ref">3</xref>
,
<xref rid="ggi12036-bib-0004" ref-type="ref">4</xref>
,
<xref rid="ggi12036-bib-0005" ref-type="ref">5</xref>
,
<xref rid="ggi12036-bib-0006" ref-type="ref">6</xref>
,
<xref rid="ggi12036-bib-0007" ref-type="ref">7</xref>
,
<xref rid="ggi12036-bib-0008" ref-type="ref">8</xref>
,
<xref rid="ggi12036-bib-0009" ref-type="ref">9</xref>
In other words, most of the studies showed that more than half of older patients had “pneumonia of unknown etiology”.</p>
<p>Bacterial infection was evident in 28–38% of all study patients in previous studies on CAP in older patients.
<xref rid="ggi12036-bib-0003" ref-type="ref">3</xref>
,
<xref rid="ggi12036-bib-0006" ref-type="ref">6</xref>
,
<xref rid="ggi12036-bib-0009" ref-type="ref">9</xref>
Common bacterial pathogens include
<italic>Streptococcus pneumoniae</italic>
and
<italic>Haemophilus influenzae</italic>
. Gram‐negative bacteria (GNB;
<italic>Klebsiella</italic>
spp,
<italic>H. influenzae</italic>
,
<italic>Pseudomonas aeruginosa</italic>
and
<italic>Moraxella catarrhalis</italic>
) are more common in patients with chronic lung diseases.
<italic>Staphylococcus aureus</italic>
, GNB and anaerobes were more frequent in nursing‐home‐acquired pneumonia (NHAP).
<xref rid="ggi12036-bib-0010" ref-type="ref">10</xref>
,
<xref rid="ggi12036-bib-0011" ref-type="ref">11</xref>
Pulmonary tuberculosis is not an uncommon cause of CAP in older patients, in particular those who are immunocompromised and are living in institutions.
<xref rid="ggi12036-bib-0003" ref-type="ref">3</xref>
,
<xref rid="ggi12036-bib-0007" ref-type="ref">7</xref>
,
<xref rid="ggi12036-bib-0009" ref-type="ref">9</xref>
</p>
<p>The importance of viral infection was underevaluated in previous epidemiological studies of CAP in older patients. The prevalence of viral pneumonia was not reported in three of the aforementioned studies.
<xref rid="ggi12036-bib-0003" ref-type="ref">3</xref>
,
<xref rid="ggi12036-bib-0008" ref-type="ref">8</xref>
,
<xref rid="ggi12036-bib-0009" ref-type="ref">9</xref>
Respiratory viruses were detected in 1–23% of all study patients using serology in the other studies.
<xref rid="ggi12036-bib-0002" ref-type="ref">2</xref>
,
<xref rid="ggi12036-bib-0005" ref-type="ref">5</xref>
,
<xref rid="ggi12036-bib-0006" ref-type="ref">6</xref>
,
<xref rid="ggi12036-bib-0007" ref-type="ref">7</xref>
Common respiratory viruses are influenza A virus, influenza B virus, respiratory syncytial virus (RSV), adenovirus and rhinovirus.</p>
<p>Bacterial and viral pneumonia are treated with entirely different antimicrobials. CAP is presumed to be caused by bacterial pathogens, and empirical antibiotics are almost always given on admission. However, early detection of viral pneumonia is also very important for hospital infection control, timely use of antiviral therapy and discharge planning. This is particularly relevant for nursing home residents, because they might be hospitalized for isolation to avoid spreading viral infection in nursing homes.</p>
<p>The present study aimed to compare patients with viral and bacterial pneumonia, and to identify independent predictors of viral pneumonia.</p>
</sec>
<sec id="ggi12036-sec-0006">
<title>Methods</title>
<sec id="ggi12036-sec-0007">
<title>Patients</title>
<p>We prospectively studied older patients admitted for CAP to the Prince of Wales Hospital in Hong Kong from October 2009 to September 2010. It is the teaching hospital affiliated with the Chinese University of Hong Kong. The diagnosis of CAP was made if patients had two of three clinical features confirmed by chest radiograph. Clinical features were fever (tympanic temperature ≥37.8°C), chest symptoms (shortness of breath, cough and increase in sputum production or purulence) and chest signs on physical examination (crepitations, bronchial breathing or pleural effusion). Radiographic features included abnormal infiltrates (interstitial shadowing or consolidation) or pleural effusion. Patients were excluded if they had been hospitalized in the 14 days before the index admission, were on tube feeding or had predominantly congestive heart failure on clinical examination or chest radiograph.</p>
<p>The study was approved by the Research Ethics Committee of the hospital.</p>
</sec>
<sec id="ggi12036-sec-0008">
<title>Data collection</title>
<p>Investigators monitored patients' progress until death or discharge, and did not provide any intervention. If patients were confused or were not able to communicate, their relatives or caregivers might provide supplementary information</p>
<sec id="ggi12036-sec-0009">
<title>Background characteristics</title>
<p>Demographics, comorbidities, premorbid functional status (Katz Index) and physical findings were collected. Results of baseline blood tests and chest radiographs were also retrieved.</p>
</sec>
<sec id="ggi12036-sec-0010">
<title>Confusion, blood urea nitrogen, respiratory rate and low blood pressure score</title>
<p>Confusion, blood urea nitrogen, respiratory rate and low blood pressure (CURB) are the core clinical adverse prognostic factors of CAP. The CURB score, ranging from 0 (least severe) to 4 (most severe), assesses the severity of pneumonia. One point is given for each parameter if the patient has confusion, blood urea level is >7.0 mmol/L, respiratory rate is ≥30/min or the patient is in shock (systolic blood pressure <90 mmHg or diastolic blood pressure ≤60 mmHg). Pneumonia with CURB ≥2 is associated with a high risk of 30‐day mortality.</p>
</sec>
<sec id="ggi12036-sec-0011">
<title>Microbial investigations</title>
<p>Respiratory specimens were sent for analysis within 48 h after admission. Sputum smear was examined for white blood cells and epithelial cells. Gram stain examination was carried out on request. Specimens with more than 10 epithelial cells per low power field were not cultured unless they appeared purulent or blood‐stained. Common lower respiratory tract pathogens (such as
<italic>S. pneumoniae </italic>
and
<italic>H</italic>
. 
<italic>influenzae</italic>
) were reported semi‐quantitatively when isolated. Potential pathogens (including
<italic>P</italic>
.
<italic> aeruginosa</italic>
,
<italic>M. catarrhalis</italic>
,
<italic>Klebsiella</italic>
spp. and other
<italic>Enterobacteriaceae</italic>
,
<italic>Acinetobacter</italic>
spp.,
<italic>Burkholderia</italic>
spp.
<italic>, Stenotrophomonas maltophila</italic>
,
<italic>S. aureus, Candida</italic>
spp., β‐hemolytic streptococci etc.) were reported only when they were present in heavy growth or were the predominant organism in culture.
<italic>In vitro</italic>
susceptibility testing on these isolates was carried out by the disc diffusion method. Acid‐fast staining and culture for
<italic>Mycobacterium</italic>
species onto the Löwenstein–Jensen medium was carried out after decontamination.</p>
<p>All nasopharyngeal aspirate (NPA) samples were collected within 8 h of hospitalization. They were obtained by catheter aspiration from the posterior pharyngeal space through the nostril when the patient was in a sitting position. The sample was saved in 3 mL of viral transport medium and was processed within 12 h. The aspirate was centrifuged, washed with saline solution and then coated on glass slides. The supernatant was incubated. Viral culture was screened initially by hemadsorption and then identified by immunofluorescence if positive. The cell suspension coated on the slide was stained with panels of monoclonal antibodies against respiratory viruses including influenza virus types A and B, parainfluenza virus types 1, 2 and 3, adenovirus, and RSV.</p>
<p>Blood cultures were collected before initiation of antibiotic treatment. If the bottles were flagged positive, a Gram smear was carried out and blood samples underwent subculture on the following blood agars: chocolate blood agar, MacConkey agar and vitamin K
<sub>1</sub>
‐supplemented blood agar.</p>
<p>Acute and convalescent‐phase sera were used for serological assays. Serology for influenza virus types A and B, RSV, parainfluenza virus types 1, 2 and 3, adenovirus,
<italic>Chlamydia</italic>
spp. (including
<italic>C. psittaci</italic>
and
<italic>C. pneumoniae</italic>
),
<italic>Mycoplasma pneumoniae</italic>
, and
<italic>Coxiella burnetii</italic>
were carried out by the complement fixation tests.
<italic>Legionella</italic>
serology was carried out using immunofluorescence test.</p>
</sec>
<sec id="ggi12036-sec-0012">
<title>Infective etiology</title>
<p>The etiological diagnosis of pneumonia was established if one of the following criteria was met after excluding other sources of infection: (i) sputum or pleural fluid cultures yielding one or more bacteria; (ii) blood cultures yielding bacterial pathogen; (iii) a fourfold rise in paired immunoglobulin G titers or a single increased immunoglobulin M titer; and (iv) urinary antigen test positive for
<italic>L. pneumophila</italic>
.</p>
</sec>
<sec id="ggi12036-sec-0013">
<title>Clinical outcomes</title>
<p>Relevant data during the clinical course were recorded: length of stay in hospital, use of non‐invasive mechanical ventilation and in‐hospital mortality.</p>
</sec>
</sec>
<sec id="ggi12036-sec-0014">
<title>Statistical analysis</title>
<p>Categorical variables were expressed as counts (frequency) and continuous variables as mean (±standard deviation) or median (interquartile range). Patients with viral and bacterial pneumonia were compared by χ
<sup>2</sup>
‐test (or Fisher's exact test) for categorical variables, and by Student's
<italic>t</italic>
‐test (or Mann–Whitney
<italic>U</italic>
‐test) for continuous variables. Covariates with
<italic>P</italic>
 ≤ 0.05 were selected into logistic regression analysis for independent predictors of viral pneumonia. Two‐tailed tests with a significance level of 5% (α = 0.05) were used for all analyses. The Statistical Package for Social Sciences 13.0 (
<sc>spss</sc>
13.0; SPSS, Chicago, IL, USA) was used for statistical analysis.</p>
</sec>
</sec>
<sec id="ggi12036-sec-0015">
<title>Results</title>
<sec id="ggi12036-sec-0016">
<title>Baseline characteristics</title>
<p>We screened 612 patients, and 124 patients were excluded for the following reasons: on nasogastric tube feeding (16), recent hospitalization (91) and predominant congestive heart failure (17). The study population consisted of 488 patients. Table 
<xref rid="ggi12036-tbl-0001" ref-type="table">1</xref>
shows their baseline characteristics.</p>
<table-wrap id="ggi12036-tbl-0001" xml:lang="en" orientation="portrait" position="float">
<label>Table 1</label>
<caption>
<p>Demographic data, clinical characteristics, laboratory investigation and pneumonia severity of the study population</p>
</caption>
<table frame="hsides" rules="groups">
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<tbody>
<tr>
<td rowspan="1" colspan="1">Demographics</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Age, years (mean ± SD)</td>
<td rowspan="1" colspan="1">81.0 ± 7.9</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Female sex,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">206 (42.2%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Nursing home residents,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">116 (23.8%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Charlson's Comorbidity Index, median (IQR)</td>
<td rowspan="1" colspan="1">2 [1–3]</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Katz score, median (IQR)
<xref ref-type="fn" rid="ggi12036-note-0001">
<sup></sup>
</xref>
</td>
<td rowspan="1" colspan="1">6 [2–6]</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Comorbid illnesses,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Diabetes mellitus</td>
<td rowspan="1" colspan="1">140 (28.7%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Congestive heart failure</td>
<td rowspan="1" colspan="1">65 (13.3%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Ischemic heart disease</td>
<td rowspan="1" colspan="1">78 (16.0%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic lung diseases</td>
<td rowspan="1" colspan="1">186 (38.1%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cerebrovascular accident</td>
<td rowspan="1" colspan="1">93 (19.1%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic kidney disease</td>
<td rowspan="1" colspan="1">54 (11.1%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic liver disease</td>
<td rowspan="1" colspan="1">12 (2.5%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Dementia</td>
<td rowspan="1" colspan="1">124 (25.4%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Active malignancy</td>
<td rowspan="1" colspan="1">36 (7.4%)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest symptoms,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Shortness of breath</td>
<td rowspan="1" colspan="1">249 (51.0%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cough</td>
<td rowspan="1" colspan="1">335 (68.6%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Expectoration</td>
<td rowspan="1" colspan="1">254 (52.0%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hemoptysis</td>
<td rowspan="1" colspan="1">89 (18.2%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chest pain</td>
<td rowspan="1" colspan="1">187 (38.3%)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Physical findings</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Fever,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">251 (51.4%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hypotension,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">19 (3.9%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Tachypnoea,
<italic>n</italic>
(%)
<xref ref-type="fn" rid="ggi12036-note-0001">
<sup></sup>
</xref>
</td>
<td rowspan="1" colspan="1">68 (13.9%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">MAC, cm (mean ± SD)
<xref ref-type="fn" rid="ggi12036-note-0001">
<sup>§</sup>
</xref>
</td>
<td rowspan="1" colspan="1">23.1 ± 3.6</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Confusion,
<italic>n</italic>
(%)
<xref ref-type="fn" rid="ggi12036-note-0001">
<sup></sup>
</xref>
</td>
<td rowspan="1" colspan="1">99 (20.3%)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Routine blood tests</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Sodium (mmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">138 (134–141)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Urea > 7 mmol/L,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">257 (52.7%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Creatinine (μmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">94 (74–124)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Albumin (g/L), median (IQR)</td>
<td rowspan="1" colspan="1">35 (31–38)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Leukocytosis,
<italic>n</italic>
(%)
<xref ref-type="fn" rid="ggi12036-note-0001">
<sup></sup>
<sup></sup>
</xref>
</td>
<td rowspan="1" colspan="1">248 (50.8%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Alanine transaminase (U/L), median (IQR)</td>
<td rowspan="1" colspan="1">18 (13–29)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest radiographs,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Multilobar consolidation</td>
<td rowspan="1" colspan="1">79 (16.2%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Pleural effusion</td>
<td rowspan="1" colspan="1">33 (6.8%)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">CURB score,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">0–1</td>
<td rowspan="1" colspan="1">376 (77.0%)</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">2–4</td>
<td rowspan="1" colspan="1">112 (23.0%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="ggi12036-note-0001">
<p>
<italic>n</italic>
 = 488.
<sup></sup>
Katz Index measures six basic activities of daily living (ADL): bathing, dressing, toileting, transferring, continence and feeding. For each ADL, one point is given for full independence and zero for partial or total dependence.
<sup></sup>
Tachypnoea is defined as respiratory rate ≥30 per min.
<sup>§</sup>
Mid‐arm circumference (MAC) is the circumference of the mid‐point between the acromial process of scapula and the olecranon process of elbow of right upper arm. Left upper arm was chosen for patients with right hemipledgia or right upper limb amputation.
<sup></sup>
Confusion is defined as acute delirium or depressed conscious level.
<sup></sup>
<sup></sup>
Leukocytosis is defined as white cell counts ≥10.8 × 10
<sup>9</sup>
/L. CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; IQR, interquartile range.</p>
</fn>
</table-wrap-foot>
<permissions>
<copyright-holder>2013 Japan Geriatrics Society</copyright-holder>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
</table-wrap>
</sec>
<sec id="ggi12036-sec-0017">
<title>Infective etiology</title>
<sec id="ggi12036-sec-0018">
<title>Descriptive analysis</title>
<p>Microbial investigations were ordered in 475 (97.3%) patients within 48 h after hospitalization. Sputum samples were collected in 294 (60.2%) patients. Patients with and without sputum specimens collected are compared in Table 
<xref rid="ggi12036-tbl-0002" ref-type="table">2</xref>
. Sputum routine microscopy, and culture and acid‐fast staining and culture were carried out in 263 (53.9%) and 241 patients (49.4%), respectively. NPA samples were collected in 453 (92.8%) patients. Blood cultures and paired serological tests for viral and atypical pathogens were carried out in 329 (67.4%) and 69 patients (14.1%), respectively. Urine antigen tests for
<italic>L. pneumophila</italic>
were ordered in 20 patients.</p>
<table-wrap id="ggi12036-tbl-0002" xml:lang="en" orientation="portrait" position="float">
<label>Table 2</label>
<caption>
<p>Comparison of patients with and without sputum samples collected</p>
</caption>
<table frame="hsides" rules="groups">
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<thead>
<tr style="border-bottom:solid 1px #000000">
<th rowspan="1" colspan="1"></th>
<th rowspan="1" colspan="1">With sputum (
<italic>n</italic>
 = 294)</th>
<th rowspan="1" colspan="1">Without sputum (
<italic>n</italic>
 = 194)</th>
<th rowspan="1" colspan="1">
<italic>P</italic>
‐value</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="1" colspan="1">Demographics</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Age, years (mean ± SD)</td>
<td rowspan="1" colspan="1">79.7 ± 7.4</td>
<td rowspan="1" colspan="1">83.0 ± 8.1</td>
<td rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Female sex,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">109 (37.1%)</td>
<td rowspan="1" colspan="1">97 (50%)</td>
<td rowspan="1" colspan="1">0.005</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Nursing home residence,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">48 (16.3%)</td>
<td rowspan="1" colspan="1">68 (35.1%)</td>
<td rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">CCI, median (IQR)</td>
<td rowspan="1" colspan="1">1 (1–3)</td>
<td rowspan="1" colspan="1">2 (1–3)</td>
<td rowspan="1" colspan="1">0.005</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Katz score, median (IQR)</td>
<td rowspan="1" colspan="1">6 (4–6)</td>
<td rowspan="1" colspan="1">5 (1–6)</td>
<td rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Comorbid illnesses,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Diabetes mellitus</td>
<td rowspan="1" colspan="1">80 (27.2%)</td>
<td rowspan="1" colspan="1">60 (30.9%)</td>
<td rowspan="1" colspan="1">0.374</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Congestive heart failure</td>
<td rowspan="1" colspan="1">31 (10.5%)</td>
<td rowspan="1" colspan="1">34 (17.5%)</td>
<td rowspan="1" colspan="1">0.026</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Ischemic heart disease</td>
<td rowspan="1" colspan="1">46 (15.6%)</td>
<td rowspan="1" colspan="1">32 (16.5%)</td>
<td rowspan="1" colspan="1">0.802</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic lung diseases</td>
<td rowspan="1" colspan="1">129 (43.9%)</td>
<td rowspan="1" colspan="1">57 (29.4%)</td>
<td rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cerebrovascular accident</td>
<td rowspan="1" colspan="1">50 (17.0%)</td>
<td rowspan="1" colspan="1">43 (22.2%)</td>
<td rowspan="1" colspan="1">0.156</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic kidney disease</td>
<td rowspan="1" colspan="1">26 (8.8%)</td>
<td rowspan="1" colspan="1">28 (14.4%)</td>
<td rowspan="1" colspan="1">0.054</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic liver disease</td>
<td rowspan="1" colspan="1">11 (3.7%)</td>
<td rowspan="1" colspan="1">1 (0.1%)</td>
<td rowspan="1" colspan="1">0.033</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Dementia</td>
<td rowspan="1" colspan="1">53 (18.0%)</td>
<td rowspan="1" colspan="1">71 (36.6%)</td>
<td rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Active malignancy</td>
<td rowspan="1" colspan="1">24 (8.2%)</td>
<td rowspan="1" colspan="1">12 (6.2%)</td>
<td rowspan="1" colspan="1">0.413</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest symptoms,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Shortness of breath</td>
<td rowspan="1" colspan="1">152 (51.7%)</td>
<td rowspan="1" colspan="1">97 (50%)</td>
<td rowspan="1" colspan="1">0.713</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cough</td>
<td rowspan="1" colspan="1">203 (69.0%)</td>
<td rowspan="1" colspan="1">132 (68.0%)</td>
<td rowspan="1" colspan="1">0.815</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Expectoration</td>
<td rowspan="1" colspan="1">171 (58.2%)</td>
<td rowspan="1" colspan="1">93 (47.9%)</td>
<td rowspan="1" colspan="1">0.026</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hemoptysis</td>
<td rowspan="1" colspan="1">49 (16.7%)</td>
<td rowspan="1" colspan="1">40 (20.6%)</td>
<td rowspan="1" colspan="1">0.269</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chest pain</td>
<td rowspan="1" colspan="1">113 (38.4%)</td>
<td rowspan="1" colspan="1">74 (38.1%)</td>
<td rowspan="1" colspan="1">0.948</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Physical findings</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Fever,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">158 (53.7%)</td>
<td rowspan="1" colspan="1">93 (47.9%)</td>
<td rowspan="1" colspan="1">0.209</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hypotension,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">9 (3.06%)</td>
<td rowspan="1" colspan="1">10 (3.06%)</td>
<td rowspan="1" colspan="1">0.242</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Tachypnoea,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">35 (11.9)</td>
<td rowspan="1" colspan="1">33 (17.0%)</td>
<td rowspan="1" colspan="1">0.111</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">MAC, cm,(mean ± SD)</td>
<td rowspan="1" colspan="1">23.4 ± 3.5</td>
<td rowspan="1" colspan="1">22.7 ± 3.8</td>
<td rowspan="1" colspan="1">0.049</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Confusion,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">39 (13.3%)</td>
<td rowspan="1" colspan="1">60 (30.9%)</td>
<td rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Routine blood tests</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Sodium (mmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">137 (134–140)</td>
<td rowspan="1" colspan="1">138 (134–141)</td>
<td rowspan="1" colspan="1">0.288</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Urea >7 mmol/L,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">137 (46.6%)</td>
<td rowspan="1" colspan="1">112 (57.7%)</td>
<td rowspan="1" colspan="1">0.016</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Creatinine (μmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">94 (75–118)</td>
<td rowspan="1" colspan="1">96 (72–133)</td>
<td rowspan="1" colspan="1">0.794</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Albumin (g/L), median (IQR)</td>
<td rowspan="1" colspan="1">35 (32–38)</td>
<td rowspan="1" colspan="1">34 (30–38)</td>
<td rowspan="1" colspan="1">0.087</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Leukocytosis,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">148 (50.3%)</td>
<td rowspan="1" colspan="1">100 (51.5%)</td>
<td rowspan="1" colspan="1">0.794</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">ALT (U/L)</td>
<td rowspan="1" colspan="1">18 (13–28)</td>
<td rowspan="1" colspan="1">19 (13–29)</td>
<td rowspan="1" colspan="1">0.837</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest radiographs,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Multi‐lobar pneumonia</td>
<td rowspan="1" colspan="1">39 (13.3%)</td>
<td rowspan="1" colspan="1">40 (20.6%)</td>
<td rowspan="1" colspan="1">0.031</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Pleural effusion</td>
<td rowspan="1" colspan="1">19 (6.5%)</td>
<td rowspan="1" colspan="1">14 (7.2%)</td>
<td rowspan="1" colspan="1">0.745</td>
</tr>
<tr>
<td rowspan="1" colspan="1">CURB score,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">0–1</td>
<td rowspan="1" colspan="1">240 (81.6%)</td>
<td rowspan="1" colspan="1">136 (70.1%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">2–4</td>
<td rowspan="1" colspan="1">54 (18.4%)</td>
<td rowspan="1" colspan="1">58 (29.9%)</td>
<td rowspan="1" colspan="1">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="ggi12036-note-0002">
<p>ALT, alanine transaminase; CCI, Charlson's Comorbidity Index; CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; MAC, mid‐arm circumference.</p>
</fn>
</table-wrap-foot>
<permissions>
<copyright-holder>2013 Japan Geriatrics Society</copyright-holder>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
</table-wrap>
<p>Sputum routine bacteriology was positive in 78 patients (29.7%). Five patients had co‐infections with two bacteria. The most frequent bacteria were
<italic>H. influenzae</italic>
(31),
<italic>P. aeruginosa</italic>
(14),
<italic>Klebsiella</italic>
spp. (8) and
<italic>S. pneumoniae</italic>
(6). A total of 14 patients had infection with
<italic>Mycobacterium tuberculosis</italic>
. Concomitant infection with
<italic>Klebsiella</italic>
spp was found in one of them. Multidrug‐resistant bacteria were grown in sputum samples of six patients: methicillin‐resistant
<italic>S. aureus</italic>
(MRSA; 3) and extended‐spectrum beta‐lactamase (ESBL)‐producing
<italic>Escherichia coli</italic>
(3). Atypical mycobacterial infection was likely a result of contamination and not counted as infective cause. They were identified in four patients:
<italic>M. fortuitium</italic>
(2) and
<italic>M. Kanassi</italic>
(2).</p>
<p>NPA samples were positive in 50 patients (10.2%). The most common viruses were influenza A virus (20), H1N1 (human swine flu) virus (8) and RSV (16). Co‐infections with one bacterium were present in 10 patients.</p>
<p>Blood cultures were positive in 12 patients (3.6%). The isolated organisms were believed to be the culprit pathogens for pneumonia in seven patients:
<italic>Klebsiella</italic>
spp. (3),
<italic>S. pneumoniae</italic>
(2),
<italic>P. aeruginosa</italic>
(1) and
<italic>Acinetobacter</italic>
spp. (1). Four patients had identical bacteria grown in their sputum cultures:
<italic>Klebsiella</italic>
spp. (2) and
<italic>S. pneumoniae</italic>
(2). The other three patients had negative sputum culture. The remaining five patients had skin flora identified in their blood cultures: diphtheroids (3) and Bacillus species (2).</p>
<p>Serology was positive in three patients:
<italic>M. pneumoniae</italic>
(1),
<italic>C. pneumoniae</italic>
(1) and influenza A virus (1).</p>
<p>One patient had infection with
<italic>L. pneumophila</italic>
diagnosed by a urine antigen test.</p>
</sec>
<sec id="ggi12036-sec-0019">
<title>Establishing etiological diagnosis</title>
<p>Infective causes were found in 137 patients (28.1%): 34 nursing home residents and 103 community‐living older adults (29.3%
<italic>vs</italic>
27.7%,
<italic>P</italic>
 = 0.734). The results are summarized in Figures 
<xref rid="ggi12036-fig-0001" ref-type="fig">1</xref>
and
<xref rid="ggi12036-fig-0002" ref-type="fig">2</xref>
. Bacteriology was established mostly by sputum culture and virology by NPA tests. Bacterial, viral and mixed infections were detected in 86 (17.6%), 41 (8.4%) and 10 patients (2.0%), respectively. They were found in 14, 19 and one nursing home residents as well as in 72, 22 and nine community‐living older patients, respectively. NHAP was most commonly caused by viral infection (55.9%). Meanwhile, bacterial infection was the most frequent (69.9%) cause of CAP in older patients living in the community.</p>
<fig fig-type="Figure" xml:lang="en" id="ggi12036-fig-0001" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>Summary of the types of bacteria isolated. *“Others” refers to one case for each of the following:
<italic>Escherichia coli</italic>
,
<italic>Proteus</italic>
, Group G Streptococcus,
<italic>Citrobacter</italic>
spp.,
<italic>Morganella morganii</italic>
,
<italic>Enterococcus</italic>
,
<italic>M. pneumoniae</italic>
,
<italic>C. pneumoniae</italic>
and
<italic>Legionella pneumophila</italic>
serogroup type 1. ESBL, extended‐spectrum beta‐lactamase; MRSA, methicillin‐resistant
<italic>Staphylococcus aureus</italic>
; MSSA, methicillin‐sensitive
<italic>Staphylococcus aureus</italic>
.</p>
</caption>
<graphic id="nlm-graphic-1" xlink:href="GGI-13-949-g001">
<alt-text>figure</alt-text>
<permissions>
<copyright-holder>2013 Japan Geriatrics Society</copyright-holder>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
</graphic>
</fig>
<fig fig-type="Figure" xml:lang="en" id="ggi12036-fig-0002" orientation="portrait" position="float">
<label>Figure 2</label>
<caption>
<p>Summary of the types of viruses isolated.</p>
</caption>
<graphic id="nlm-graphic-3" xlink:href="GGI-13-949-g002">
<alt-text>figure</alt-text>
<permissions>
<copyright-holder>2013 Japan Geriatrics Society</copyright-holder>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
</graphic>
</fig>
</sec>
</sec>
<sec id="ggi12036-sec-0020">
<title>Viral pneumonia</title>
<p>Table 
<xref rid="ggi12036-tbl-0003" ref-type="table">3</xref>
shows the comparison between patients with confirmed viral and bacterial pneumonia. The viral group (51) consisted of patients with isolated viral infection (41) and mixed infections (10). Univariate analysis showed that many factors were associated viral pneumonia. Compared with patients living in the community, nursing home residents had a higher mean age, were predominantly female and were more likely to have a cerebrovascular accident and confusion (data not shown). Thus, these factors were not selected into regression analysis. Other variables (nursing home residence, ischemic heart disease and leukocytosis) were then entered into backward stepwise logistic regression analysis. Independent predictors of viral pneumonia in older patients were nursing home residence (RR 3.056,
<italic>P</italic>
 = 0.009) and absence of leukocytosis (RR 0.425,
<italic>P</italic>
 = 0.026).</p>
<table-wrap id="ggi12036-tbl-0003" xml:lang="en" orientation="portrait" position="float">
<label>Table 3</label>
<caption>
<p>Comparison of patients with viral and bacterial pneumonia</p>
</caption>
<table frame="hsides" rules="groups">
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<col align="left" span="1"></col>
<thead>
<tr style="border-bottom:solid 1px #000000">
<th rowspan="1" colspan="1"></th>
<th rowspan="1" colspan="1">Viral (
<italic>n</italic>
 = 51)</th>
<th rowspan="1" colspan="1">Bacterial (
<italic>n</italic>
 = 86)</th>
<th rowspan="1" colspan="1">
<italic>P</italic>
‐value</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="1" colspan="1">Demographics</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Age, years (mean ± SD)</td>
<td rowspan="1" colspan="1">83.2 ± 8.4</td>
<td rowspan="1" colspan="1">79.8 ± 7.6</td>
<td rowspan="1" colspan="1">0.015</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Female sex,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">29 (56.9%)</td>
<td rowspan="1" colspan="1">24 (27.9%)</td>
<td rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Nursing home residence,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">20 (39.2%)</td>
<td rowspan="1" colspan="1">14 (16.3%)</td>
<td rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">CCI, median (IQR)</td>
<td rowspan="1" colspan="1">2 (1–3)</td>
<td rowspan="1" colspan="1">1 (1–3)</td>
<td rowspan="1" colspan="1">0.072</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Katz score, median (IQR)</td>
<td rowspan="1" colspan="1">6 (1–6)</td>
<td rowspan="1" colspan="1">6 (4–6)</td>
<td rowspan="1" colspan="1">0.077</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Comorbid illnesses,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Diabetes mellitus</td>
<td rowspan="1" colspan="1">16 (31.4%)</td>
<td rowspan="1" colspan="1">21 (24.4%)</td>
<td rowspan="1" colspan="1">0.376</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Congestive heart failure</td>
<td rowspan="1" colspan="1">10 (19.6%)</td>
<td rowspan="1" colspan="1">9 (10.5%)</td>
<td rowspan="1" colspan="1">0.134</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Ischemic heart disease</td>
<td rowspan="1" colspan="1">12 (23.5%)</td>
<td rowspan="1" colspan="1">8 (9.3%)</td>
<td rowspan="1" colspan="1">0.023</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic lung diseases</td>
<td rowspan="1" colspan="1">17 (33.3%)</td>
<td rowspan="1" colspan="1">42 (48.8%)</td>
<td rowspan="1" colspan="1">0.076</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cerebrovascular accident</td>
<td rowspan="1" colspan="1">15 (29.4%)</td>
<td rowspan="1" colspan="1">12 (14.0%)</td>
<td rowspan="1" colspan="1">0.028</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic kidney disease</td>
<td rowspan="1" colspan="1">4 (7.8%)</td>
<td rowspan="1" colspan="1">10 (11.6%)</td>
<td rowspan="1" colspan="1">0.480</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chronic liver disease</td>
<td rowspan="1" colspan="1">0 (0%)</td>
<td rowspan="1" colspan="1">3 (3.5%)</td>
<td rowspan="1" colspan="1">NC
<xref ref-type="fn" rid="ggi12036-note-0003">*</xref>
</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Dementia</td>
<td rowspan="1" colspan="1">15 (29.4%)</td>
<td rowspan="1" colspan="1">14 (16.3%)</td>
<td rowspan="1" colspan="1">0.069</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Active malignancy</td>
<td rowspan="1" colspan="1">6 (11.8%)</td>
<td rowspan="1" colspan="1">8 (9.3%)</td>
<td rowspan="1" colspan="1">0.646</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest symptoms,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Shortness of breath</td>
<td rowspan="1" colspan="1">28 (54.9%)</td>
<td rowspan="1" colspan="1">45 (52.3%)</td>
<td rowspan="1" colspan="1">0.770</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Cough</td>
<td rowspan="1" colspan="1">35 (68.6%)</td>
<td rowspan="1" colspan="1">59 (68.6%)</td>
<td rowspan="1" colspan="1">0.998</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Expectoration</td>
<td rowspan="1" colspan="1">25 (49.0%)</td>
<td rowspan="1" colspan="1">35 (40.7%)</td>
<td rowspan="1" colspan="1">0.343</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hemoptysis</td>
<td rowspan="1" colspan="1">13 (25.5%)</td>
<td rowspan="1" colspan="1">16 (18.6%)</td>
<td rowspan="1" colspan="1">0.340</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Chest pain</td>
<td rowspan="1" colspan="1">21 (41.2%)</td>
<td rowspan="1" colspan="1">37 (43.0%)</td>
<td rowspan="1" colspan="1">0.833</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Physical findings</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Fever,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">34 (66.7%)</td>
<td rowspan="1" colspan="1">44 (51.2%)</td>
<td rowspan="1" colspan="1">0.076</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Hypotension,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">0 (0%)</td>
<td rowspan="1" colspan="1">4 (4.7%)</td>
<td rowspan="1" colspan="1">NC
<xref ref-type="fn" rid="ggi12036-note-0003">*</xref>
</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Tachypnoea,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">8 (15.7%)</td>
<td rowspan="1" colspan="1">8 (9.3%)</td>
<td rowspan="1" colspan="1">0.261</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">MAC, cm (mean ± SD)</td>
<td rowspan="1" colspan="1">22.5 ± 2.9</td>
<td rowspan="1" colspan="1">23.2 ± 3.1</td>
<td rowspan="1" colspan="1">0.137</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Confusion,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">14 (27.5%)</td>
<td rowspan="1" colspan="1">11 (12.8%)</td>
<td rowspan="1" colspan="1">0.032</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Routine blood tests</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Sodium (mmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">137 (133–140)</td>
<td rowspan="1" colspan="1">138 (134–141)</td>
<td rowspan="1" colspan="1">0.257</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Urea >7 mmol/L,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">21 (41.2%)</td>
<td rowspan="1" colspan="1">48 (55.8%)</td>
<td rowspan="1" colspan="1">0.098</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Creatinine (μmol/L), median (IQR)</td>
<td rowspan="1" colspan="1">89 (77–117)</td>
<td rowspan="1" colspan="1">99 (77–128)</td>
<td rowspan="1" colspan="1">0.289</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Albumin (g/L), median (IQR)</td>
<td rowspan="1" colspan="1">36 (33–38)</td>
<td rowspan="1" colspan="1">35 (30–37)</td>
<td rowspan="1" colspan="1">0.067</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Leukocytosis,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1">17 (33.3%)</td>
<td rowspan="1" colspan="1">47 (54.7%)</td>
<td rowspan="1" colspan="1">0.016</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Neutrophil count (×10
<sup>9</sup>
/l)</td>
<td rowspan="1" colspan="1">7.8 (7.2–9.2)</td>
<td rowspan="1" colspan="1">8.4 (7.7–10.4)</td>
<td rowspan="1" colspan="1">0.456</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Lymphocyte count (×10
<sup>9</sup>
/l)</td>
<td rowspan="1" colspan="1">3.4 (3.1–3.9)</td>
<td rowspan="1" colspan="1">2.9 (2.5–3.3)</td>
<td rowspan="1" colspan="1">0.223</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">ALT (U/L)</td>
<td rowspan="1" colspan="1">19 (11–28)</td>
<td rowspan="1" colspan="1">18 (12–30)</td>
<td rowspan="1" colspan="1">0.755</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Chest radiographs,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Multilobar pneumonia</td>
<td rowspan="1" colspan="1">7 (13.7%)</td>
<td rowspan="1" colspan="1">13 (15.1%)</td>
<td rowspan="1" colspan="1">0.824</td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">Pleural effusion</td>
<td rowspan="1" colspan="1">3 (5.9%)</td>
<td rowspan="1" colspan="1">5 (5.8%)</td>
<td rowspan="1" colspan="1">0.987</td>
</tr>
<tr>
<td rowspan="1" colspan="1">CURB score,
<italic>n</italic>
(%)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">0–1</td>
<td rowspan="1" colspan="1">41 (80.4%)</td>
<td rowspan="1" colspan="1">69 (80.2%)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:10%" rowspan="1" colspan="1">2–4</td>
<td rowspan="1" colspan="1">10 (19.6%)</td>
<td rowspan="1" colspan="1">17 (19.8%)</td>
<td rowspan="1" colspan="1">0.982</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="ggi12036-note-0003">
<p>
<italic>n</italic>
 = 137. *Non‐calculable. ALT, alanine transaminase; CCI, Charlson's comorbidity index; CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; MAC, mid‐arm circumference.</p>
</fn>
</table-wrap-foot>
<permissions>
<copyright-holder>2013 Japan Geriatrics Society</copyright-holder>
<license>
<license-p>This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.</license-p>
</license>
</permissions>
</table-wrap>
<sec id="ggi12036-sec-0021">
<title>In‐hospital mortality</title>
<p>In‐hospital mortality rates were not significantly different in patients with and without established etiology (14.6%
<italic>vs</italic>
11.7%,
<italic>P</italic>
 = 0.381) as well as those with isolated viral and bacterial pneumonia (17.1%
<italic>vs</italic>
12.8%,
<italic>P</italic>
 = 0.518). Patients with mixed infections and pneumonia of unknown etiology had in‐hospital mortality rates of 20.0% and 11.7% respectively.</p>
</sec>
</sec>
</sec>
<sec id="ggi12036-sec-0022">
<title>Discussion</title>
<p>The present study showed that in‐hospital mortality was not related to the results of microbial investigation. GNB and tuberculosis were the most frequent bacterial isolates. Nursing home residence and absence of leukocytosis were independent predictors of viral pneumonia.</p>
<p>A small minority (2.7%) of patients did not undergo any microbial investigation during hospitalization. The rate of identifying the infective etiology in the present study was 28.1%, which was relatively low compared with those (28–53%) reported in the existing literature.
<xref rid="ggi12036-bib-0002" ref-type="ref">2</xref>
,
<xref rid="ggi12036-bib-0003" ref-type="ref">3</xref>
,
<xref rid="ggi12036-bib-0004" ref-type="ref">4</xref>
,
<xref rid="ggi12036-bib-0005" ref-type="ref">5</xref>
,
<xref rid="ggi12036-bib-0006" ref-type="ref">6</xref>
,
<xref rid="ggi12036-bib-0007" ref-type="ref">7</xref>
,
<xref rid="ggi12036-bib-0008" ref-type="ref">8</xref>
,
<xref rid="ggi12036-bib-0009" ref-type="ref">9</xref>
The present study was pragmatic in nature; so much so that microbial investigations were ordered for clinical care rather than research purposes. Sputum and blood culture samples were collected in over half of all patients, and NPA viral samples in over 90% of all patients. Serological test for viral and atypical pathogens, however, was carried out in only 14% of all patients. The low availability was explained by its limited usefulness in clinical management. First, NPA viral cultures are superior to serological tests in allowing a more accurate and rapid diagnosis of viral infections. Second, serological tests do not help in the immediate medical treatment, because empirical antibiotics for atypical bacterial pathogens might be started much earlier than the results of test are available. Third, serological tests require paired samples to be collected 10–14 days apart. The acute titers are collected shortly after admission, and the convalescence titers might not be collected because patients have recovered and been discharged. Despite their limitations, serological tests provide important epidemiological data on CAP caused by atypical pathogens (AP). The present study cannot evaluate the importance of AP in older patients hospitalized for CAP, which can be supplemented by the results of another prospective cohort study on adult patients hospitalized for CAP. That study found that
<italic>M. pneumoniae</italic>
and
<italic>C. pneumoniae</italic>
were the most common (97.8%) AP. The majority of atypical infections involved older patients (63.4%) with multiple medical comorbidities (41.8%). In comparison with bacterial pneumonia, AP infection resulted in lower 30‐day mortality (1.1%
<italic>vs</italic>
6.6%,
<italic>P</italic>
 = 0.04).
<xref rid="ggi12036-bib-0012" ref-type="ref">12</xref>
</p>
<p>In the present study, frail older patients with multiple comorbidities and poorer nutritional status, especially those with chronic cardiorespiratory diseases and dementia, were less likely to expectorate for bacteriology. Nursing home residents, with a preponderance of female sex and a higher mean age (results were not shown here), were less likely to produce sputum than their community‐living counterparts. The sickest (CURB ≥2) and dehydrated (plasma urea level >7 mmol/L) patients were also less able to produce sputum. Thus, expectoration is a good clinical stress test for older patients hospitalized for CAP.</p>
<p>Chronic lung diseases, such as chronic obstructive pulmonary diseases (COPD), bronchiectasis and asthma, was the commonest comorbidity of our study population. These diseases predisposed our patients to infection with GNB.
<xref rid="ggi12036-bib-0010" ref-type="ref">10</xref>
,
<xref rid="ggi12036-bib-0011" ref-type="ref">11</xref>
Our findings were consistent with another study of our center that
<italic>H. influenzae</italic>
(26.0%),
<italic>P. aeruginosa</italic>
(5.5%) and
<italic>S. pneumoniae</italic>
(3.4%) were the commonest bacterial isolates in routine sputum cultures of COPD patients admitted for CAP.
<xref rid="ggi12036-bib-0013" ref-type="ref">13</xref>
</p>
<p>Tuberculosis is an endemic, statutory notifiable respiratory disease in our locality. It was not surprising that it ranked third in the list of bacterial isolates. The conventional culture on the Löwenstein–Jensen medium usually takes 6–8 weeks to yield, so the diagnosis of tuberculosis infection can be easily delayed. We suggest that, in the places where tuberculosis is endemic, molecular tests such as polymerase chain reaction (PCR) of respiratory samples should be used to make rapid diagnosis within hours if pulmonary tuberculosis is highly suspected.
<xref rid="ggi12036-bib-0014" ref-type="ref">14</xref>
</p>
<p>In‐hospital mortality of CAP depends on the interaction among factors of patient, disease and treatment. Our group has shown that in‐hospital mortality was related to pneumonia severity and patients' factors (comorbidities and nutritional status).
<xref rid="ggi12036-bib-0015" ref-type="ref">15</xref>
The present study added that it was not related to the results of microbial investigation. Pneumonia severity represents the end result of adding numerous disease factors. In other words, it is pneumonia severity, but not infective cause, that determines the case mortality of pneumonia.</p>
<p>Chest symptoms, physical signs and pneumonia severity (CURB score) can hardly differentiate viral from bacterial pneumonia. We found that nursing home residence and absence of leukocytosis were independent predictors of viral pneumonia. Respiratory viruses were the most common infective cause of NHAP. In general, respiratory viruses have a higher infectivity than bacteria. We hypothesize that the over‐crowded living environment in nursing homes contributes to viral spreading among frail older people with multiple comorbidities. This is why outbreaks of influenza‐like illness, caused by viral but not bacterial infection, are commonly reported in the influenza peak seasons. This theory needs to be proven in future studies. Furthermore, we propose that NPA viral tests should be ordered for every nursing home patient admitted for CAP because of infection control in both hospital and nursing homes. In our hospital, the results of NPA immunofluorescence tests are available within 12 h after collection. Patients are hospitalized for isolation if their NPA viral tests are positive. Empirical antiviral agents, such as oseltamivir, might be added if outbreaks of influenza‐like illness are reported in nursing homes. This helps avoid spreading viral infection in both hospital and nursing homes.</p>
<p>Absence of leukocytosis is one of the few biomakers that distinguish viral from bacterial pneumonia. Others included lower serum levels of C‐reactive protein and procalcitonin levels.
<xref rid="ggi12036-bib-0016" ref-type="ref">16</xref>
However, their results might not be available within 1 day, limiting their usefulness in acute management of pneumonia.</p>
<p>In the past decade, several respiratory viruses have been drawing increasing attention from clinicians and researchers. These viruses are rhinovirus, coronavirus and human metapneumovirus (hMPV). Rhinovirus can be isolated in viral culture, but not serology; whereas coronavirus and hMPV can be detected by serology, but not viral cultures. However, all these tests take time to yield a diagnosis and are not helpful in immediate clinical management. Real‐time PCR tests are able to detect all of these viruses within hours. Outbreaks of respiratory tract infections in long‐term care facilities caused by hMPV and rhinoviruses were reported.
<xref rid="ggi12036-bib-0017" ref-type="ref">17</xref>
,
<xref rid="ggi12036-bib-0018" ref-type="ref">18</xref>
,
<xref rid="ggi12036-bib-0019" ref-type="ref">19</xref>
These PCR tests are not routine investigations. We suggest that real‐time PCR tests of nasopharyngeal specimens should be carried out in all nursing home residents hospitalized for CAP because of infection control in hospital and nursing homes.</p>
<p>One of the strengths of the present study was its large sample size with the focus on older patients with the mean age of 80 years. Furthermore, NPA viral tests were carried out in over 90% of the study population, of which the results highlighted the importance of viral pneumonia in clinical practice.</p>
<p>The present study has a few limitations. First, the importance of AP was underinvestigated. Second, aspiration is an important cause of pneumonia in older patients. When patients were in an acute medical condition, we could accurately assess their premorbid swallowing ability. Third, we did not evaluate the relationship between influenza vaccination status and viral pneumonia. Fourth, further studies are required to compare the efficacy of influenza vaccination and NPA viral testing.</p>
<p>To conclude, routine NPA viral testing should be considered for older patients hospitalized for NHAP. In addition to antibiotic therapy, antiviral agents might be considered as empirical treatment if outbreaks of influenza‐like illness are reported in nursing homes.</p>
</sec>
<sec id="ggi12036-sec-0024">
<title>Disclosure statement</title>
<p>No potential conflicts of interest were disclosed.</p>
</sec>
</body>
<back>
<ack id="ggi12036-sec-0023">
<title>Acknowledgment</title>
<p>We express our thanks to Miss Kathy Chow for her statistical support.</p>
</ack>
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</pmc>
</record>

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