Predictive Factors of Methicillin-Resistant Staphylococcus aureus Infection in Elderly Patients with Community-Onset Pneumonia

Hyeyoung Jwa; Jong Wook Beom; Jong Hoo Lee

doi:10.4046/trd.2017.80.2.201

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Jwa, Beom, and Lee: Predictive Factors of Methicillin-Resistant Staphylococcus aureus Infection in Elderly Patients with Community-Onset Pneumonia

Original Article

Tuberculosis and Respiratory Diseases 2017; 80(2): 201-209.

Published online: 31 March 2017

DOI: https://doi.org/10.4046/trd.2017.80.2.201

Predictive Factors of Methicillin-Resistant Staphylococcus aureus Infection in Elderly Patients with Community-Onset Pneumonia

Hyeyoung Jwa, M.D., Jong Wook Beom, M.D., Jong Hoo Lee, M.D.

Department of Internal Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea.

Address for correspondence: Jong Hoo Lee, M.D. Department of Internal Medicine, Jeju National University Hospital, 15 Aran 13-gil, Jeju 63241, Korea. Phone: 82-64-717-1601, Fax: 82-64-717-1131, lovlet@paran.com

Received 19 October 2016 Revised 13 December 2016 Accepted 9 February 2017

(open-access, http://creativecommons.org/licenses/by-nc/4.0/):

It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/)

Abstract

Background

Methicillin-resistant Staphylococcus aureus (MRSA) infection is a severe and life-threatening disease in patients with community-onset (CO) pneumonia. However, the current guidelines lack specificity for a screening test for MRSA infection.

Methods

This study was retrospectively conducted in elderly patients aged ≥65 years, who had contracted CO-pneumonia during hospitalization at the Jeju National University Hospital, between January 2012 and December 2014. We analyzed the risk factors of MRSA in these patients and developed a scoring system to predict MRSA infection.

Results

A total of 762 patients were enrolled in this study, including 19 (2.4%) with MRSA infection. Healthcare-associated pneumonia (HCAP) showed more frequent MRSA infection compared to community-acquired pneumonia (4.4% vs. 1.5%, respectively; p=0.016). In a multivariate logistic regression analysis, admissions during the influenza season (odds ratio [OR], 2.896; 95% confidence interval [CI], 1.022–8.202; p=0.045), chronic kidney disease (OR, 3.555; 95% CI, 1.157–10.926; p=0.027), and intensive care unit admission (OR, 3.385; 95% CI, 1.035–11.075; p=0.044) were identified as predictive factors for MRSA infection. However, the presence of HCAP was not significantly associated with MRSA infection (OR, 1.991; 95% CI, 0.720–5.505; p=0.185). The scoring system consisted of three variables based on the multivariate analysis, and showed moderately accurate diagnostic prediction (area under curve, 0.790; 95% CI, 0.680–0.899; p<0.001).

Conclusion

MRSA infection would be considered in elderly CO-pneumonia patients, with three risk factors identified herein. When managing elderly patients with pneumonia, clinicians might keep in mind that these risk factors are associated with MRSA infection, which may help in selecting appropriate antibiotics.

Keywords: Methicillin-Resistant Staphylococcus aureus, Pneumonia, Community-Acquired Infections, Mortality

Introduction

Among causative organisms of community-acquired pneumonia (CAP), Staphylococcus aureus accounts for about 1% to 5% of all CAP infections1. In addition, methicillin-resistant Staphylococcus aureus (MRSA) has been generally regarded as a major pathogen of hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP)2. However, the incidence of MRSA infection has increased worldwide among community-acquired (CA) as well as hospital-acquired pathogens3. Although CA-MRSA pneumonia is rare, it has been associated historically with influenza outbreaks and multi-lobar cavitating necrosis1.

As MRSA infection presents with significant morbidity and mortality in patients with community-onset (CO) pneumonia including CAP and healthcare-acquired pneumonia (HCAP)4, it is important to predict the occurrence of MRSA infection in these patients. Recently, the 2016 the American Thoracic Society/Infectious Disease Society of America (ATS/IDSA) guidelines for management of HAP and VAP suggested that risk factors for MRSA infection included prior intravenous antibiotic use within 90 days, hospitalization in a unit where >20% of Staphylococcus aureus isolates are methicillin resistant, or the prevalence of MRSA is not known, or who are at high risk for mortality5. However, the determination for empirical treatment with anti-MRSA agents has not yet been established in patients with CO-pneumonia6. According to the 2007 ATS/IDSA guidelines for CAP, necrotizing or lung abscess is a risk factor for CA-MRSA pneumonia6. Although a recently published study in the United States investigated the use of a scoring system to predict MRSA infection in patients with CO-pneumonia, data on the prediction of MRSA infection in these patients are still limited7.

MRSA infection requires treatment with anti-MRSA agents that are distinct from empirical antibiotic treatments used for CO-pneumonia. Delayed use of anti-MRSA agents may result in increased morbidity and mortality, whereas overuse of anti-MRSA agents may lead to more antibiotic resistance and side effects associated with antibiotic use such as nephrotoxicity. In the elderly population, pneumonia is especially associated with worse outcomes8 9. In addition, the large number of elderly with decreased renal function requires careful use of anti-MRSA agents in this population. Therefore, we investigated the risk factors for MRSA infection in elderly patients admitted with CO-pneumonia in order to guide the decision to prescribe an anti-MRSA agent.

Materials and Methods

1. Study design

We retrospectively investigated elderly patients aged ≥65 years admitted with CO-pneumonia at the Jeju National University Hospital (a 620-bed hospital in Jeju, South Korea) between January 2012 and December 2014. Based on culture results, we classified patients into MRSA or non-MRSA groups.

Using medical records, we compared clinical characteristics, co-morbidities, severity of pneumonia, identified pathogens, antibiotics, and clinical outcomes between the two groups. The study protocol was approved by the Ethical Review Committee at Jeju National University Hospital (approval No. 2015-03-002). Informed consent was waived because of the retrospective nature of the study.

2. Definition and categorization of pneumonia

Pneumonia was defined as the presence of new infiltrate on chest radiography and at least one of the following: fever (temperature ≥38.0℃) or hypothermia (temperature <35.0℃); new-onset cough with or without sputum production; pleuritic chest pain; dyspnea; or altered breath sounds on auscultation. Multi-lobar involvement was defined as the presence of pneumonic infiltrates in two or more lobes on chest radiograph or computed tomography.

HCAP was defined using the criteria established by the 2005 ATS/IDSA guidelines, which require one or more of the following: residence in a nursing home or long-term care facility; recent history of hospitalization in an acute care hospital for ≥2 days in the past 90 days; recent outpatient intravenous therapy (such as antibiotic therapy or chemotherapy) or wound care within the past 30 days; and/or attendance at a hospital clinic or dialysis center in the last 30 days10. CAP was defined as pneumonia diagnosed in patients who did not fit the criteria for HCAP. CO-pneumonia was defined as pneumonia hat occurs in the community and up to 48 hours into hospital admission, and it includes both CAP and HCAP11.

3. Microbiology

Microorganisms in samples obtained from sputum, tracheal aspirate, bronchial alveolar lavage fluid, or blood were investigated. Sputum samples were cultured in a semi-quantitative manner, and pathogens were identified when a predominant microorganism was detected from group 4 or 5 sputum, according to Geckler's grading system12. Blood cultures were considered as an etiologic diagnosis if there was no other infection source for a positive blood culture. For Mycoplasma pneumoniae or Chlamydia pneumoniae, serum samples were evaluated. Serum samples in which particle agglutination antibody titers were >64 or that were proven to have a 4-fold or greater increase of antibody titers in paired sera were regarded as positive. BinaxNOW (Binax Inc., Scarborough, ME, USA) was used to detect urinary antigens for Streptococcus pneumoniae. The BinaxNOW Legionella Urinary Antigen Test (Binax Inc.) for Legionella pneumophila serogroup 1 was performed according to clinical judgment by attending physicians. A positive urinary antigen was considered to be a bacterial infection. The antibiotic sensitivity of all isolates was determined using a disc diffusion method. MRSA, Pseudomonas species, Acinetobacter species, Stenotrophomonas maltophilia, and extended-spectrum β-lactamase (ESBL) producing Enterobacteriaceae were considered to be potentially drug resistant (PDR) pathogens, as previously reported13.

4. Clinical outcomes

Duration of antibiotic therapy, the rate of change of antibiotics, the use of inappropriate antibiotics, the rate of failure of initial antibiotic therapy, length of hospital stay, and inhospital mortality rates were compared between each group. Inappropriate antibiotic therapy was defined as inefficacy of the empirical antibiotics against the identified pathogens based on in vitro susceptibility testing. Failure of initial antibiotic therapy was defined as death during initial treatment or change of antibiotics from initial agents to others after 48 hours due to clinical instability.

5. Statistical analyses

Data are presented as number (%) or median (range) unless otherwise stated. Continuous variables were compared using Student's t test for normally distributed variables and the Mann-Whitney U test for non-normally distributed variables. Categorical variables were compared using the Pearson chi-square test, and the Fisher exact test was used where any cell contained less than 5. To identify independent factors predictive of MRSA infection, multivariate logistic regression analysis with variables found to be significantly different between the two groups by univariate analysis was used, as measured by the estimated odds ratio (OR) with 95% confidence intervals (CI). From logistic regression results, we created a scoring system to predict patients' risk for infection with MRSA pathogens. We converted the ORs from β coefficients into point values and measured the percentages of MRSA pathogens in each group relative to the total point score. We then evaluated the ability of the scoring system to predict patients with MRSA pathogens using the receiver operating characteristic (ROC) curve. p-values of <0.05 were considered statistically significant. Analyses were performed using SPSS version 14.0 (SPSS Inc., Chicago, IL, USA).

Results

1. Clinical characteristics

A total of 762 patients were assessed during the study period. According to culture results, there were 19 patients (2.4%) with MRSA infection and 743 (97.5%) with non-MRSA infection. MRSA infection was more common in HCAP than CAP (4.4% vs. 1.5%, p=0.016).

Table 1 shows the baseline characteristics of each group. The median age of the MRSA group was 81 years (interquartile range [IQR], 78–84 years) and was higher than that of the non-MRSA group (75 years; IQR, 68–81 years; p=0.004). The rate of patients with HCAP was higher in the MRSA group compared to the non-MRSA group (57.8% vs. 31.7%, p=0.016). Among the category of HCAP, the rate of residence in a nursing home or long-term care facility was more frequently in the MRSA group (36.8% vs. 15.3%, p=0.020). And, the rate of patients with aspiration tendency tended to be higher in the MRSA group than the non-MRSA group (47.3% vs. 27.8%, p=0.062). Among several comorbidities, only chronic kidney disease was frequently more reported in the MRSA group (31.5% vs. 11.3%, p=0.017).

The MRSA group showed worse clinical parameters than the non-MRSA group, including altered mental state, sepsis or septic shock, and intensive care unit (ICU) admission at onset. In radiological findings, the rates of multi-lobar involvement and pleural effusions between the two groups were not significantly different. The median CURB-65 (confusion, urea, eespiratory rate, blood pressure, age ≥65) and Pneumonia Severity Index (PSI) scores, which are severity indices of pneumonia, were also higher in the MRSA group (3 vs. 2, p<0.001 and 146 vs. 104, p<0.001).

2. Microbiological etiology of the non-MRSA group

MRSA was isolated from the specimens of the followings: sputum (n=13), tracheal aspirates (n=4), blood (n=3), and bronchoalveolar lavage fluid (n=1). In two patients, MRSA were simultaneously isolated from the tracheal aspirates and blood.

The distribution of pathogens isolated in the non-MRSA group is shown in Table 2. In the non-MRSA group, there was a possible etiologic diagnosis for 271 patients (36.4%); the most frequent pathogen was Streptococcus pneumoniae followed by Klebsiella pneumoniae. The frequency of PDR pathogens was 7.8%, and the isolated rates of Pseudomonas aeruginosa, ESBL-producing K. pneumoniae, and Acinetobacter species were 5.2%, 0.4%, and 1.2%, respectively.

3. Clinical outcomes

Table 3 shows the clinical outcomes of patients with pneumonia. The duration of anti-biotic administration (14 days vs. 10 days, p=0.027), the rates of antibiotic changes (73.6% vs. 20.8%, p<0.001), the use of inappropriate antibiotics (100% vs. 4.7%, p<0.001), and failure of initial antibiotic therapy (73.6% vs. 20.5%, p<0.001) were higher in the MRSA group. In addition, the MRSA group showed a trend toward a higher total inhospital mortality rate than the non-MRSA group, although without statistical significance (31.2% vs. 11.4%, p=0.062).

4. Risk factors associated with MRSA infection and scoring system

Multivariate logistic regression analysis identified three risk factors related to MRSA pneumonia. Admission during influenza season (OR, 2.896; 95% CI, 1.022–8.202; p=0.045), chronic kidney disease (OR, 3.555; 95% CI, 1.157–10.926; p=0.027), and ICU admission (OR, 3.385; 95% CI, 1.035–11.075; p=0.044) were associated with increased risk for MRSA infection in elderly patients admitted with CO-pneumonia. Otherwise, the presence of HCAP was not significantly associated with MRSA infection (OR, 1.991; 95% CI, 0.720–5.505; p=0.185) (Table 4).

Based on the multivariate analysis, we created a scoring system to identify patients with MRSA infection. We assigned points as follows based on the logistic regression: 2 points for admission during influenza season; 3 points for chronic kidney disease; 3 points for ICU admission. Patients were divided into three groups by total scores. Figure 1 shows the association between total score using the scoring system and the prevalence of MRSA infection. As scores increased, the prevalence of MRSA pathogen in each group tended to increase (0.5% in the group with a score of 0, 2.2% in the group with a score 2–3, and 13.0% in the group with scores 5–8). Using ROC curves, the area under curve of the scoring system was 0.7900 (95% CI, 0.6801–0.8998; p<0.001) (Figure 2).

Discussion

MRSA infections are associated with worse outcomes than methicillin-sensitive Staphylococcus aureus infections14. One meta-analysis including data on 3,963 patients reported that bloodstream infection due to MRSA showed approximately a twofold increase in mortality compared to patients with methicillin-sensitive Staphylococcus aureus14. Traditionally, MRSA infection is common cause of HAP and VAP15. Meanwhile, MRSA infection in patients with CAP is rare, and CA-MRSA pneumonia represents about 2% of total CA-MRSA infections16. Although the incidence of MRSA infection is low in patients with CO-pneumonia, MRSA infection is an emerging problem in these patients4.

The increased prevalence of MRSA infection in CAP has been reported in patients with recent or concomitant influenza17 18. During the 2003 to 2004 influenza season in the United States, 17 patients with Staphylococcus aureus infection in CAP were reported and 15 cases were CA-MRSA17. All isolates had community-associated genetic characteristics. Among 13 available Staphylococcus aureus isolates, 12 had the Panton-Valentine leukocidin (PVL) gene, and in-hospital mortality was 29%17. In a study of 627 patients admitted with CAP during the 2006 to 2007 influenza season in the United States, Staphylococcus aureus represented about 4% (24 patients) of causative organisms. Of these Staphylococcus aureus infections, 14 cases (58%) were MRSA19. Isolation of MRSA was associated with the followings; a patient history of MRSA, nursing home admission in the previous year, close contact with someone with a skin infection during the previous month, multiple infiltrates or cavities on a chest radiograph, comatose state, intubation, receipt of pressor agents, and death in the emergency department19. Although we could not evaluate the direct relationship between MRSA infection and influenza due to the low frequency of testing for influenza infection, patients who were hospitalized during the influenza season (December to March) in the present study showed a significantly higher rate of isolation for MRSA.

Traditionally, CA-MRSA is also associated with severe necrotizing pneumonia3 17 20. The tendency for necrotizing pneumonia seems to be mediated by PVL, which is typically present in CA-MRSA strains17 20 21. Gillet et al.21 compared the clinical features of 16 patients with PVL-positive Staphylococcus aureus pneumonia to 36 cases of PVL-negative Staphylococcus aureus pneumonia20. Hemoptysis occurred more frequently in patients with PVL-positive strains compared with those with PVL-negative strains (38% vs. 3%)21. The role of PVL was more directly demonstrated in a study using a mouse model of acute pneumonia, which found that PVL alone was sufficient to cause necrotizing pneumonia22. PVL induced global changes in the transcriptional levels of genes encoding multiple staphylococcal proteins, including the lung inflammatory factor staphylococcal protein A22. In contrast, some recent reports have denied the role of the PVL gene as a virulence factor in MRSA pneumonia23 24. In our results, the radiological findings were not significant differences between two groups. Otherwise, due to nature of retrospective study design, we could not investigate the association between the MRSA infection and necrotizing pneumonia.

After the ATS/IDSA introduced guidelines in 2005 on HCAP10, several studies have reported an association between HCAP and an increased risk of MRSA infection4 11 25. Therefore, the guidelines recommended that HCAP patients should receive PDR-targeted antibiotic treatment, including anti-MRSA agents and/or anti-pseudomonal agents, similar to HAP patients10. A recent meta-analysis compared the isolated rates of pathogens between patients with HCAP and CAP26. MRSA was identified in 9.7% of patients (624/6,368) with HCAP and 2.4% of patients (280/11,302) with CAP26. And, HCAP was associated with an increased risk of MRSA infection (OR, 4.72; 95% CI, 3.69–6.04; p<0.0001)26. However, several recent studies on HCAP showed poor adherence to the 2005 ATS/IDSA antibiotic guidelines, and controversy has increased regarding the appropriate treatment for HCAP compared to CAP and HAP27. In addition, studies testing the prediction of MRSA infection and optimal selection of anti-MRSA agents in patients with HCAP were limited4 27 28. Moreover, the 2005 ATS/IDSA antibiotic guidelines for HCAP did not establish a clear indication to select initial anti-MRSA agents10. In our study, although MRSA infection was more frequent in patients with HCAP compared to CAP (4.4% vs. 1.5%, p=0.016), the presence of HCAP itself was not an independent, predictive factor for MRSA infection. But, because this study included small sample of the MRSA group, we could not draw concrete conclusions.

In 2013, the U.S. large cohort study introduced a new MRSA prediction score in patients with CO-pneumonia7. This scoring system was based on 5,975 patients with CO-pneumonia from 62 U.S. hospitals, and MRSA infections were detected in 837 patients (14.0%). The risk score consisted of eight variables: two for recent hospitalization or ICU admission and one each for age <30 or >79 years, prior intravenous antibiotic exposure, dementia, cerebrovascular disease, female with diabetes, or nursing home-acquired pneumonia7. The total score was 107. When the score was low (0 or 1), the prevalence of MRSA was <10%, whereas when the score was high (6 or greater), the prevalence of MRSA was predicted as >30%7. A subsequent retrospective study compared the effect of anti-MRSA agents on 30-day patient mortality among CO-pneumonia patients in three MRSA risk groups (low, medium, and high-risk)11. In the high-risk group, initial anti-MRSA treatment was associated with a lower 30-day mortality (OR, 0.57; 95% CI, 0.42–0.77)11.

Recently, one retrospective observational study on risk factors associated with MRSA infections has been conducted in CO-pneumonia Korean patients4. In this study, MRSA infection was detected in 8.2% (78/943 patients), and the MRSA group showed higher mortality than the non-MRSA group (33.3% vs. 21.5%, p=0.017)4. Risk factors for MRSA infection included a history of MRSA infection in the previous 1 year (OR, 6.05; 95% CI, 2.99–12.22; p<0.001), PSI score higher than 120 (OR, 2.40; 95% CI, 1.18–4.86; p=0.015), and intravenous antibiotic treatment within 30 days (OR, 2.23; 95% CI, 1.15–4.32; p=0.018)4. In this study, the incidence of the MRSA infections was 12.7% in patients with HCAP and 4.2% in those with CAP, respectively. Due to the higher incidence of MRSA infections than in previous studies26, these findings might not be generally applicable to other Korean hospitals.

Based on our knowledge, the present study is the first to investigate MRSA infection in elderly patients aged ≥65 years with CO-pneumonia in Korea. But, the present study has some limitations. First, the present study was retrospectively conducted at a single center. Therefore, physicians should consider interregional differences in microbiology. Second, we could not collect certain data on the MRSA group. And, this study examined relatively few patients of the MRSA group, and studies looking at a larger group of patients are needed in the future. Also, in the present study, relatively low numbers of non-MRSA pneumonia patients had causative microorganisms (271 of 743 non-MRSA patients, 36.4%). To evaluate the risk factor accurately, more sufficient numbers of non-MRSA patients with proved microorganisms might have been included in the analysis. Third, when MRSA was identified in the culture, patients were classified as the MRSA group. However, some identified micro-organisms may have been oropharyngeal colonizers or contaminants and may not have been the definite cause of pneumonia. Lastly, according to the recent population-based surveillance study, respiratory viruses were detected more frequently than bacteria in the CAP patients. Viruses were detected in 27% of these patients and the most commonly isolated virus were human rhinovirus (in 9% of patients), influenza virus (in 6%)29. But, because we did not perform viral testing in most of patients, we could not evaluate a role for virus in the MRSA pneumonia.

In conclusion, although the present study showed a low incidence (2.4%) of MRSA infection in elderly patients admitted with CO-pneumonia, and MRSA infection was more common in HCAP than CAP. MRSA infection was associated with worse outcomes in these patients. Results from this study suggested that predictive factors for MRSA infection included admission during influenza season, chronic kidney disease, and ICU admission. However, the presence of HCAP was not determined to be risk factors for MRSA infection. The scoring system using three variables showed moderately accurate diagnostic accuracy. Further large scale studies are needed to identify predictive factors for MRSA infection in these patients.

Notes

Conflicts of Interest: No potential conflicts of interest relevant to this article are reported.

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Figure 1

The percentages of identified methicillin-resistant Staphylococcus aureus (MRSA) pathogens in three different risk groups determined using the scoring system.

Figure 2

Receiver operating characteristic curves of the scoring system for prediction of methicillin-resistant Staphylococcus aureus infection in elderly patients with community-onset pneumonia.

Table 1

Baseline characteristics of elderly patients admitted with community-onset pneumonia

Characteristic	MRSA (n=19)	Non-MRSA (n=743)	p-value
Age, yr	81 (78–84)	75 (68–81)	0.004
Male sex	12 (63.1)	447 (60.1)	0.792
Aspiration tendency	9 (47.3)	207 (27.8)	0.062
Tube feeding	2 (10.5)	33 (4.4)	0.216
Tracheostomy	0	10 (1.3)	1.000
Admission during influenza season (between December and March)	12 (63.1)	296 (39.8)	0.041
Influenza history within the past 1 month	1 (5.2)	8 (1.0)	0.204
Previous MRSA infection history within the past 1 year	1 (5.2)	10 (1.3)	0.244
Type of pneumonia			0.016
CAP	8 (42.1)	507 (68.2)
HCAP	11 (57.8)	236 (31.7)
HCAP indications*
Recent history of hospitalization in an acute care hospital for ≥2 days in the past 90 days	5 (26.3)	132 (17.7)	0.361
Residence in a nursing home or long-term care facility	7 (36.8)	114 (15.3)	0.020
Recent outpatient intravenous therapy or wound care within the past 30 days	0	30 (4.0)	1.000
Attendance at a hospital clinic or dialysis center in the last 30 days	0	13 (1.7)	1.000
Comorbidity
Malignancy	4 (21.0)	141 (18.9)	0.770
Chronic liver disease	1 (5.2)	42 (5.6)	1.000
Congestive heart failure	6 (31.5)	123 (16.5)	0.113
Chronic kidney disease	6 (31.5)	84 (11.3)	0.017
Diabetes mellitus	2 (10.5)	164 (22.0)	0.396
Chronic lung disease	7 (36.8)	200 (26.9)	0.337
Central nervous system disorders	8 (42.1)	206 (27.7)	0.168
Immunosuppressive agents	2 (10.5)	58 (7.8)	0.656
Two or more comorbidities	11 (57.8)	272 (36.6)	0.058
Clinical parameters
Altered mental state	7 (36.8)	74 (9.9)	0.002
Sepsis or septic shock at onset	15 (78.9)	262 (35.2)	<0.001
Intensive care unit admission	9 (47.3)	86 (11.5)	<0.001
Radiological findings
Multi-lobar involvement	12 (63.1)	329 (44.2)	0.102
Pleural effusion	3 (15.7)	145 (19.5)	1.000
Indices for disease severity
CURB-65 score	3 (2–4)	2 (1–2)	<0.001
PSI score	146 (120–190)	104 (79–131)	<0.001

Value are presented as median (interquartile range) or number (%).

^*Allowed for overlapping.

MRSA: methicillin-resistant Staphylococcus aureus; CAP: community-acquired pneumonia; HCAP: healthcare-associated pneumonia; CURB-65: Confusion, Urea, Respiratory rate, Blood pressure, Age ≥65; PSI: Pneumonia Severity Index.

Table 2

Microorganisms isolated from elderly patients admitted with community-onset pneumonia, non-MRSA group (n=743)

Variable	No. (%)
Gram positive bacteria
Streptococcus pneumoniae	115 (15.4)
Methicillin-sensitive Staphylococcus aureus	12 (1.6)
Other gram-positive bacteria	12 (1.6)
Gram-negative bacteria
Pseudomonas aeruginosa	39 (5.2)
Haemophilus influenza	8 (1.0)
Klebsiella pneumoniae	48 (6.4)
ESBL (+)	3 (0.4)
ESBL (−)	45 (6.0)
Acinetobacter species	9 (1.2)
Other gram-negative species^*	14 (1.8)
Mycoplasma pneumonia	30 (4.0)
Identified pathogens	271 (36.4)
Polymicrobial pathogens	16 (2.1)
Potentially drug-resistant pathogens^†	58 (7.8)

^*Other gram negative species included Escherichia coli, Enterobacter species, Serratia marcescens, and Legionella pneumophilia. ^†Potentially drug-resistant pathogens included MRSA, Pseudomonas species, Acinetobacter species, Stenotrophomonas maltophilia, and ESBL-producing Enterobacteriaceae.

MRSA: methicillin-resistant Staphylococcus aureus; ESBL: extended-spectrum β-lactamase.

Table 3

Clinical outcomes of elderly patients admitted with community-onset pneumonia

Clinical outcomes	MRSA (n=19)	Non-MRSA (n=743)	p-value
Duration of antibiotic therapy, day	14 (8–18)	10 (7–13)	0.027
Change of antibiotics	14 (73.6)	155 (20.8)	<0.001
Use of inappropriate antibiotics	19 (100)	35 (4.7)	<0.001
Failure of initial antibiotics therapy	14 (73.6)	153 (20.5)	<0.001
Length of hospital stay, day	14 (7–22)	8 (5–12)	0.016
Total in-hospital mortality rate	5 (31.2)	85 (11.4)	0.062

Values are presented as median (interquartile range) or number (%).

MRSA: methicillin-resistant Staphylococcus aureus.

Table 4

Multivariate analysis for risk factors associated with MRSA infection in elderly patients admitted with community-onset pneumonia

Risk factor	Odds ratio (95% confidence interval)	p-value
Age	1.052 (0.994–1.114)	0.080
Admission during influenza season	2.896 (1.022–8.202)	0.045
HCAP	1.991 (0.720–5.505)	0.185
Chronic kidney disease	3.555 (1.157–10.926)	0.027
Altered mentation	1.512 (0.462–4.944)	0.494
Sepsis or septic shock at onset	1.825 (0.441–7.554)	0.407
Intensive care unit admission	3.385 (1.035–11.075)	0.044
PSI score	1.007 (0.988–1.026)	0.502
CURB-65 score	1.044 (0.531–2.052)	0.901

MRSA: methicillin-resistant Staphylococcus aureus; HCAP: healthcare-associated pneumonia; PSI: Pneumonia Severity Index; CURB-65: Confusion, Urea, Respiratory rate, Blood pressure, Age ≥65.

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