Literature DB >> 23441872

Predictors of viral pneumonia: the need for viral testing in all patients hospitalized for nursing home-acquired pneumonia.

Hon Ming Ma1, Kin Ping Lee, Jean Woo.   

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.
© 2013 Japan Geriatrics Society.

Entities:  

Keywords:  community-acquired pneumonia; nursing home residence; viral pneumonia

Mesh:

Year:  2013        PMID: 23441872      PMCID: PMC7165925          DOI: 10.1111/ggi.12036

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


Introduction

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.1 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.2, 3, 4, 5, 6, 7, 8, 9 In other words, most of the studies showed that more than half of older patients had “pneumonia of unknown etiology”. Bacterial infection was evident in 28–38% of all study patients in previous studies on CAP in older patients.3, 6, 9 Common bacterial pathogens include Streptococcus pneumoniae and Haemophilus influenzae. Gram‐negative bacteria (GNB; Klebsiella spp, H. influenzae, Pseudomonas aeruginosa and Moraxella catarrhalis) are more common in patients with chronic lung diseases. Staphylococcus aureus, GNB and anaerobes were more frequent in nursing‐home‐acquired pneumonia (NHAP).10, 11 Pulmonary tuberculosis is not an uncommon cause of CAP in older patients, in particular those who are immunocompromised and are living in institutions.3, 7, 9 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.3, 8, 9 Respiratory viruses were detected in 1–23% of all study patients using serology in the other studies.2, 5, 6, 7 Common respiratory viruses are influenza A virus, influenza B virus, respiratory syncytial virus (RSV), adenovirus and rhinovirus. 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. The present study aimed to compare patients with viral and bacterial pneumonia, and to identify independent predictors of viral pneumonia.

Methods

Patients

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. The study was approved by the Research Ethics Committee of the hospital.

Data collection

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

Background characteristics

Demographics, comorbidities, premorbid functional status (Katz Index) and physical findings were collected. Results of baseline blood tests and chest radiographs were also retrieved.

Confusion, blood urea nitrogen, respiratory rate and low blood pressure score

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.

Microbial investigations

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 S. pneumoniae and H. influenzae) were reported semi‐quantitatively when isolated. Potential pathogens (including P. aeruginosa, M. catarrhalis, Klebsiella spp. and other Enterobacteriaceae, Acinetobacter spp., Burkholderia spp., Stenotrophomonas maltophila, S. aureus, Candida spp., β‐hemolytic streptococci etc.) were reported only when they were present in heavy growth or were the predominant organism in culture. In vitro susceptibility testing on these isolates was carried out by the disc diffusion method. Acid‐fast staining and culture for Mycobacterium species onto the Löwenstein–Jensen medium was carried out after decontamination. 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. 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 K1‐supplemented blood agar. 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, Chlamydia spp. (including C. psittaci and C. pneumoniae), Mycoplasma pneumoniae, and Coxiella burnetii were carried out by the complement fixation tests. Legionella serology was carried out using immunofluorescence test.

Infective etiology

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 L. pneumophila.

Clinical outcomes

Relevant data during the clinical course were recorded: length of stay in hospital, use of non‐invasive mechanical ventilation and in‐hospital mortality.

Statistical analysis

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 χ2‐test (or Fisher's exact test) for categorical variables, and by Student's t‐test (or Mann–Whitney U‐test) for continuous variables. Covariates with P ≤ 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 (spss 13.0; SPSS, Chicago, IL, USA) was used for statistical analysis.

Results

Baseline characteristics

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 1 shows their baseline characteristics.
Table 1

Demographic data, clinical characteristics, laboratory investigation and pneumonia severity of the study population

Demographics
Age, years (mean ± SD)81.0 ± 7.9
Female sex, n (%)206 (42.2%)
Nursing home residents, n (%)116 (23.8%)
Charlson's Comorbidity Index, median (IQR)2 [1–3]
Katz score, median (IQR) 6 [2–6]
Comorbid illnesses, n (%)
Diabetes mellitus140 (28.7%)
Congestive heart failure65 (13.3%)
Ischemic heart disease78 (16.0%)
Chronic lung diseases186 (38.1%)
Cerebrovascular accident93 (19.1%)
Chronic kidney disease54 (11.1%)
Chronic liver disease12 (2.5%)
Dementia124 (25.4%)
Active malignancy36 (7.4%)
Chest symptoms, n (%)
Shortness of breath249 (51.0%)
Cough335 (68.6%)
Expectoration254 (52.0%)
Hemoptysis89 (18.2%)
Chest pain187 (38.3%)
Physical findings
Fever, n (%)251 (51.4%)
Hypotension, n (%)19 (3.9%)
Tachypnoea, n (%) 68 (13.9%)
MAC, cm (mean ± SD) § 23.1 ± 3.6
Confusion, n (%) 99 (20.3%)
Routine blood tests
Sodium (mmol/L), median (IQR)138 (134–141)
Urea > 7 mmol/L, n (%)257 (52.7%)
Creatinine (μmol/L), median (IQR)94 (74–124)
Albumin (g/L), median (IQR)35 (31–38)
Leukocytosis, n (%) 248 (50.8%)
Alanine transaminase (U/L), median (IQR)18 (13–29)
Chest radiographs, n (%)
Multilobar consolidation79 (16.2%)
Pleural effusion33 (6.8%)
CURB score, n (%)
0–1376 (77.0%)
2–4112 (23.0%)

n = 488. †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. ‡Tachypnoea is defined as respiratory rate ≥30 per min. §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. ¶Confusion is defined as acute delirium or depressed conscious level. † †Leukocytosis is defined as white cell counts ≥10.8 × 109/L. CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; IQR, interquartile range.

Demographic data, clinical characteristics, laboratory investigation and pneumonia severity of the study population n = 488. †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. ‡Tachypnoea is defined as respiratory rate ≥30 per min. §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. ¶Confusion is defined as acute delirium or depressed conscious level. † †Leukocytosis is defined as white cell counts ≥10.8 × 109/L. CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; IQR, interquartile range.

Infective etiology

Descriptive analysis

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 2. 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 L. pneumophila were ordered in 20 patients.
Table 2

Comparison of patients with and without sputum samples collected

With sputum (n = 294)Without sputum (n = 194) P‐value
Demographics
Age, years (mean ± SD)79.7 ± 7.483.0 ± 8.1<0.001
Female sex, n (%)109 (37.1%)97 (50%)0.005
Nursing home residence, n (%)48 (16.3%)68 (35.1%)<0.001
CCI, median (IQR)1 (1–3)2 (1–3)0.005
Katz score, median (IQR)6 (4–6)5 (1–6)<0.001
Comorbid illnesses, n (%)
Diabetes mellitus80 (27.2%)60 (30.9%)0.374
Congestive heart failure31 (10.5%)34 (17.5%)0.026
Ischemic heart disease46 (15.6%)32 (16.5%)0.802
Chronic lung diseases129 (43.9%)57 (29.4%)0.001
Cerebrovascular accident50 (17.0%)43 (22.2%)0.156
Chronic kidney disease26 (8.8%)28 (14.4%)0.054
Chronic liver disease11 (3.7%)1 (0.1%)0.033
Dementia53 (18.0%)71 (36.6%)<0.001
Active malignancy24 (8.2%)12 (6.2%)0.413
Chest symptoms, n (%)
Shortness of breath152 (51.7%)97 (50%)0.713
Cough203 (69.0%)132 (68.0%)0.815
Expectoration171 (58.2%)93 (47.9%)0.026
Hemoptysis49 (16.7%)40 (20.6%)0.269
Chest pain113 (38.4%)74 (38.1%)0.948
Physical findings
Fever, n (%)158 (53.7%)93 (47.9%)0.209
Hypotension, n (%)9 (3.06%)10 (3.06%)0.242
Tachypnoea, n (%)35 (11.9)33 (17.0%)0.111
MAC, cm,(mean ± SD)23.4 ± 3.522.7 ± 3.80.049
Confusion, n (%)39 (13.3%)60 (30.9%)<0.001
Routine blood tests
Sodium (mmol/L), median (IQR)137 (134–140)138 (134–141)0.288
Urea >7 mmol/L, n (%)137 (46.6%)112 (57.7%)0.016
Creatinine (μmol/L), median (IQR)94 (75–118)96 (72–133)0.794
Albumin (g/L), median (IQR)35 (32–38)34 (30–38)0.087
Leukocytosis, n (%)148 (50.3%)100 (51.5%)0.794
ALT (U/L)18 (13–28)19 (13–29)0.837
Chest radiographs, n (%)
Multi‐lobar pneumonia39 (13.3%)40 (20.6%)0.031
Pleural effusion19 (6.5%)14 (7.2%)0.745
CURB score, n (%)
0–1240 (81.6%)136 (70.1%)
2–454 (18.4%)58 (29.9%)0.003

ALT, alanine transaminase; CCI, Charlson's Comorbidity Index; CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; MAC, mid‐arm circumference.

Comparison of patients with and without sputum samples collected ALT, alanine transaminase; CCI, Charlson's Comorbidity Index; CURB, confusion, blood urea nitrogen, respiratory rate and low blood pressure; MAC, mid‐arm circumference. Sputum routine bacteriology was positive in 78 patients (29.7%). Five patients had co‐infections with two bacteria. The most frequent bacteria were H. influenzae (31), P. aeruginosa (14), Klebsiella spp. (8) and S. pneumoniae (6). A total of 14 patients had infection with Mycobacterium tuberculosis. Concomitant infection with Klebsiella spp was found in one of them. Multidrug‐resistant bacteria were grown in sputum samples of six patients: methicillin‐resistant S. aureus (MRSA; 3) and extended‐spectrum beta‐lactamase (ESBL)‐producing Escherichia coli (3). Atypical mycobacterial infection was likely a result of contamination and not counted as infective cause. They were identified in four patients: M. fortuitium (2) and M. Kanassi (2). 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. Blood cultures were positive in 12 patients (3.6%). The isolated organisms were believed to be the culprit pathogens for pneumonia in seven patients: Klebsiella spp. (3), S. pneumoniae (2), P. aeruginosa (1) and Acinetobacter spp. (1). Four patients had identical bacteria grown in their sputum cultures: Klebsiella spp. (2) and S. pneumoniae (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). Serology was positive in three patients: M. pneumoniae (1), C. pneumoniae (1) and influenza A virus (1). One patient had infection with L. pneumophila diagnosed by a urine antigen test.

Establishing etiological diagnosis

Infective causes were found in 137 patients (28.1%): 34 nursing home residents and 103 community‐living older adults (29.3% vs 27.7%, P = 0.734). The results are summarized in Figures 1 and 2. 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.
Figure 1

Summary of the types of bacteria isolated. *“Others” refers to one case for each of the following: Escherichia coli, Proteus, Group G Streptococcus, Citrobacter spp., Morganella morganii, Enterococcus, M. pneumoniae, C. pneumoniae and Legionella pneumophila serogroup type 1. ESBL, extended‐spectrum beta‐lactamase; MRSA, methicillin‐resistant Staphylococcus aureus; MSSA, methicillin‐sensitive Staphylococcus aureus.

Figure 2

Summary of the types of viruses isolated.

Summary of the types of bacteria isolated. *“Others” refers to one case for each of the following: Escherichia coli, Proteus, Group G Streptococcus, Citrobacter spp., Morganella morganii, Enterococcus, M. pneumoniae, C. pneumoniae and Legionella pneumophila serogroup type 1. ESBL, extended‐spectrum beta‐lactamase; MRSA, methicillin‐resistant Staphylococcus aureus; MSSA, methicillin‐sensitive Staphylococcus aureus. Summary of the types of viruses isolated.

Viral pneumonia

Table 3 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, P = 0.009) and absence of leukocytosis (RR 0.425, P = 0.026).
Table 3

Comparison of patients with viral and bacterial pneumonia

Viral (n = 51)Bacterial (n = 86) P‐value
Demographics
Age, years (mean ± SD)83.2 ± 8.479.8 ± 7.60.015
Female sex, n (%)29 (56.9%)24 (27.9%)0.001
Nursing home residence, n (%)20 (39.2%)14 (16.3%)0.003
CCI, median (IQR)2 (1–3)1 (1–3)0.072
Katz score, median (IQR)6 (1–6)6 (4–6)0.077
Comorbid illnesses, n (%)
Diabetes mellitus16 (31.4%)21 (24.4%)0.376
Congestive heart failure10 (19.6%)9 (10.5%)0.134
Ischemic heart disease12 (23.5%)8 (9.3%)0.023
Chronic lung diseases17 (33.3%)42 (48.8%)0.076
Cerebrovascular accident15 (29.4%)12 (14.0%)0.028
Chronic kidney disease4 (7.8%)10 (11.6%)0.480
Chronic liver disease0 (0%)3 (3.5%)NC*
Dementia15 (29.4%)14 (16.3%)0.069
Active malignancy6 (11.8%)8 (9.3%)0.646
Chest symptoms, n (%)
Shortness of breath28 (54.9%)45 (52.3%)0.770
Cough35 (68.6%)59 (68.6%)0.998
Expectoration25 (49.0%)35 (40.7%)0.343
Hemoptysis13 (25.5%)16 (18.6%)0.340
Chest pain21 (41.2%)37 (43.0%)0.833
Physical findings
Fever, n (%)34 (66.7%)44 (51.2%)0.076
Hypotension, n (%)0 (0%)4 (4.7%)NC*
Tachypnoea, n (%)8 (15.7%)8 (9.3%)0.261
MAC, cm (mean ± SD)22.5 ± 2.923.2 ± 3.10.137
Confusion, n (%)14 (27.5%)11 (12.8%)0.032
Routine blood tests
Sodium (mmol/L), median (IQR)137 (133–140)138 (134–141)0.257
Urea >7 mmol/L, n (%)21 (41.2%)48 (55.8%)0.098
Creatinine (μmol/L), median (IQR)89 (77–117)99 (77–128)0.289
Albumin (g/L), median (IQR)36 (33–38)35 (30–37)0.067
Leukocytosis, n (%)17 (33.3%)47 (54.7%)0.016
Neutrophil count (×109/l)7.8 (7.2–9.2)8.4 (7.7–10.4)0.456
Lymphocyte count (×109/l)3.4 (3.1–3.9)2.9 (2.5–3.3)0.223
ALT (U/L)19 (11–28)18 (12–30)0.755
Chest radiographs, n (%)
Multilobar pneumonia7 (13.7%)13 (15.1%)0.824
Pleural effusion3 (5.9%)5 (5.8%)0.987
CURB score, n (%)
0–141 (80.4%)69 (80.2%)
2–410 (19.6%)17 (19.8%)0.982

n = 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.

Comparison of patients with viral and bacterial pneumonia n = 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.

In‐hospital mortality

In‐hospital mortality rates were not significantly different in patients with and without established etiology (14.6% vs 11.7%, P = 0.381) as well as those with isolated viral and bacterial pneumonia (17.1% vs 12.8%, P = 0.518). Patients with mixed infections and pneumonia of unknown etiology had in‐hospital mortality rates of 20.0% and 11.7% respectively.

Discussion

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. 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.2, 3, 4, 5, 6, 7, 8, 9 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 M. pneumoniae and C. pneumoniae 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% vs 6.6%, P = 0.04).12 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. 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.10, 11 Our findings were consistent with another study of our center that H. influenzae (26.0%), P. aeruginosa (5.5%) and S. pneumoniae (3.4%) were the commonest bacterial isolates in routine sputum cultures of COPD patients admitted for CAP.13 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.14 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).15 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. 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. 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.16 However, their results might not be available within 1 day, limiting their usefulness in acute management of pneumonia. 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.17, 18, 19 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. 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. 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. 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.

Disclosure statement

No potential conflicts of interest were disclosed.
  18 in total

1.  Guidelines for the management of adults with community-acquired pneumonia. Diagnosis, assessment of severity, antimicrobial therapy, and prevention.

Authors:  M S Niederman; L A Mandell; A Anzueto; J B Bass; W A Broughton; G D Campbell; N Dean; T File; M J Fine; P A Gross; F Martinez; T J Marrie; J F Plouffe; J Ramirez; G A Sarosi; A Torres; R Wilson; V L Yu
Journal:  Am J Respir Crit Care Med       Date:  2001-06       Impact factor: 21.405

2.  Development of a prognostic index for 90-day mortality in patients discharged after admission to hospital for community-acquired pneumonia.

Authors:  A Capelastegui; P P España; J M Quintana; A Bilbao; R Menendez; R Zalacain; A Torres
Journal:  Thorax       Date:  2009-02-22       Impact factor: 9.139

3.  Epidemiology of community-acquired pneumonia in older adults: a population-based study.

Authors:  Angel Vila-Corcoles; Olga Ochoa-Gondar; Teresa Rodriguez-Blanco; Xavier Raga-Luria; Frederic Gomez-Bertomeu
Journal:  Respir Med       Date:  2008-09-18       Impact factor: 3.415

4.  Etiology of severe pneumonia in the very elderly.

Authors:  A A El-Solh; P Sikka; F Ramadan; J Davies
Journal:  Am J Respir Crit Care Med       Date:  2001-03       Impact factor: 21.405

5.  Hospitalized community-acquired pneumonia in the elderly: age- and sex-related patterns of care and outcome in the United States.

Authors:  Vladimir Kaplan; Derek C Angus; Martin F Griffin; Gilles Clermont; R Scott Watson; Walter T Linde-Zwirble
Journal:  Am J Respir Crit Care Med       Date:  2002-03-15       Impact factor: 21.405

6.  A hospital study of community acquired pneumonia in the elderly.

Authors:  P Venkatesan; J Gladman; J T Macfarlane; D Barer; P Berman; W Kinnear; R G Finch
Journal:  Thorax       Date:  1990-04       Impact factor: 9.139

7.  Role of 'atypical pathogens' among adult hospitalized patients with community-acquired pneumonia.

Authors:  Grace Lui; Margaret Ip; Nelson Lee; Timothy H Rainer; Shin Y Man; Clive S Cockram; Gregory E Antonio; Margaret H L Ng; Michael H M Chan; Shirley S L Chau; Paulina Mak; Paul K S Chan; Anil T Ahuja; Joseph J Y Sung; David S C Hui
Journal:  Respirology       Date:  2009-10-05       Impact factor: 6.424

Review 8.  Viral pneumonia.

Authors:  Olli Ruuskanen; Elina Lahti; Lance C Jennings; David R Murdoch
Journal:  Lancet       Date:  2011-03-22       Impact factor: 79.321

9.  Rhinovirus outbreak in a long term care facility for elderly persons associated with unusually high mortality.

Authors:  Janice K Louie; Shigeo Yagi; Fritzi A Nelson; David Kiang; Carol A Glaser; Jon Rosenberg; Christine K Cahill; David P Schnurr
Journal:  Clin Infect Dis       Date:  2005-06-13       Impact factor: 9.079

10.  Epidemiology and clinical outcomes of community-acquired pneumonia in adult patients in Asian countries: a prospective study by the Asian network for surveillance of resistant pathogens.

Authors:  Jae-Hoon Song; Won Sup Oh; Cheol-In Kang; Doo Ryeon Chung; Kyong Ran Peck; Kwan Soo Ko; Joon Sup Yeom; Choon Kwan Kim; Shin Woo Kim; Hyun-Ha Chang; Yeon-Sook Kim; Sook-In Jung; Zhaohui Tong; Qingtao Wang; Shao-Guang Huang; Jien-Wei Liu; M K Lalitha; Ban-Hock Tan; Pham Hung Van; Celia C Carlos; Thomas So
Journal:  Int J Antimicrob Agents       Date:  2007-12-26       Impact factor: 5.283

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  10 in total

1.  Epidemiology and predictors of multidrug-resistant community-acquired and health care-associated pneumonia.

Authors:  Alan E Gross; Trevor C Van Schooneveld; Keith M Olsen; Mark E Rupp; Thu Hong Bui; Elsie Forsung; Andre C Kalil
Journal:  Antimicrob Agents Chemother       Date:  2014-06-23       Impact factor: 5.191

2.  The effect of EBN combined with integrated hierarchical accountability nursing on patients with severe pneumonia.

Authors:  Meiqin Wang; Jing Li; Wei Li; Huichao Tian; Xinyun Kang
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

3.  Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients.

Authors:  Gouri Koduri; Sriya Gokaraju; Maria Darda; Vinod Warrier; Irina Duta; Fiona Hayes; Iman El Sayed; Yasser Noeman-Ahmed
Journal:  Eur Geriatr Med       Date:  2021-06-04       Impact factor: 3.269

Review 4.  Predictors of mortality for nursing home-acquired pneumonia: a systematic review.

Authors:  Naveen Dhawan; Naushira Pandya; Michael Khalili; Manuel Bautista; Anurag Duggal; Jaya Bahl; Vineet Gupta
Journal:  Biomed Res Int       Date:  2015-03-02       Impact factor: 3.411

5.  Etiological analysis and predictive diagnostic model building of community-acquired pneumonia in adult outpatients in Beijing, China.

Authors:  Ya-Fen Liu; Yan Gao; Mei-Fang Chen; Bin Cao; Xiao-Hua Yang; Lai Wei
Journal:  BMC Infect Dis       Date:  2013-07-09       Impact factor: 3.090

6.  Epidemiology and clinical characteristics of acute respiratory tract infections among hospitalized infants and young children in Chengdu, West China, 2009-2014.

Authors:  Jiayi Chen; Pengwei Hu; Tao Zhou; Tianli Zheng; Lingxu Zhou; Chunping Jiang; Xiaofang Pei
Journal:  BMC Pediatr       Date:  2018-07-05       Impact factor: 2.125

Review 7.  Diabetes in COVID-19 pandemic-prevalence, patient characteristics and adverse outcomes.

Authors:  Ahmed H Abdelhafiz; Demelza Emmerton; Alan J Sinclair
Journal:  Int J Clin Pract       Date:  2021-03-14       Impact factor: 3.149

Review 8.  Hospitalized Patients with Acute Pneumonia.

Authors:  Shaheen Najafi; Christian Sandrock
Journal:  Hosp Med Clin       Date:  2017-09-15

Review 9.  Review of Non-Bacterial Infections in Respiratory Medicine: Viral Pneumonia.

Authors:  José María Galván; Olga Rajas; Javier Aspa
Journal:  Arch Bronconeumol       Date:  2015-05-07       Impact factor: 4.872

10.  Hospital utilization rates for influenza and RSV: a novel approach and critical assessment.

Authors:  Emily K Johnson; Dillon Sylte; Sandra S Chaves; You Li; Cedric Mahe; Harish Nair; John Paget; Tayma van Pomeren; Ting Shi; Cecile Viboud; Spencer L James
Journal:  Popul Health Metr       Date:  2021-06-14
  10 in total

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