Skip to main content
Download PDF

In-hospital mortality associated with community-acquired pneumonia due to methicillin-resistant Staphylococcus aureus: a matched-pair cohort study

BMC Pulmonary Medicine volume 21, Article number: 345 (2021) Cite this article

Abstract

Background

It remains unclear whether methicillin-resistant Staphylococcus aureus (MRSA) pneumonia is associated with higher mortality compared with non-MRSA pneumonia. This study’s objective was to compare outcomes including in-hospital mortality and healthcare costs during hospitalisation between patients with MRSA pneumonia and those with non-MRSA pneumonia.

Methods

Using a national inpatient database in Japan, we conducted a 1:4 matched-pair cohort study of inpatients with community-acquired pneumonia from 1 April 2012 to 31 March 2014. In-hospital outcomes (mortality, length of stay and healthcare costs during hospitalisation) were compared between patients with and without MRSA infection. We performed multiple imputation using chained equations followed by multivariable regression analyses fitted with generalised estimating equations to account for clustering within matched pairs. All-cause in-hospital mortality and healthcare costs during hospitalisation were compared for pneumonia patients with and without MRSA infection.

Results

Of 450,317 inpatients with community-acquired pneumonia, 3102 patients with MRSA pneumonia were matched with 12,320 patients with non-MRSA pneumonia. The MRSA pneumonia patients had higher mortality, longer hospital stays and higher costs. Multivariable logistic regression analysis revealed that MRSA pneumonia was significantly associated with higher in-hospital mortality compared with non-MRSA pneumonia (adjusted odds ratio = 1.94; 95% confidence interval: 1.72–2.18; p < 0.001). Healthcare costs during hospitalisation were significantly higher for patients with MRSA pneumonia than for those with non-MRSA pneumonia (difference = USD 8502; 95% confidence interval: USD 7959–9045; p < 0.001).

Conclusions

MRSA infection was associated with higher in-hospital mortality and higher healthcare costs during hospitalisation, suggesting that preventing MRSA pneumonia is essential.

Peer Review reports

Introduction

Methicillin-resistant Staphylococcus aureus (MRSA) is a drug-resistant bacterium. The World Health Organization reported that MRSA infections accounted for 51.3% and 53% of Staphylococcus aureus infections in the United States and Japan, respectively [1].

Mortality from pneumonia caused by multidrug-resistant pathogens has been reported to be higher than that from pneumonia caused by other pathogens [2]; however, it remains unclear whether mortality from MRSA pneumonia is higher than mortality from non-MRSA pneumonia. Only a few studies have compared mortality between MRSA pneumonia and non-MRSA pneumonia; one showed a trend toward higher in-hospital mortality among MRSA pneumonia patients [3], whereas another showed that MRSA infection did not affect intensive care unit (ICU) mortality or in-hospital mortality in patients with ventilator-associated pneumonia [4]. These previous studies did not adjust for pulmonary comorbidities, which have been reported to be associated with in-hospital mortality in hospitalised patients with pneumonia [5].

The aim of the present study was to use a national inpatient database to examine the differences in in-hospital mortality and healthcare costs during hospitalisation between patients with MRSA pneumonia and those with non-MRSA pneumonia, adjusting for pulmonary comorbidities.

Methods

Data source

We used the Diagnosis Procedure Combination database, a nationwide inpatient administrative claims and discharge abstract database in Japan. This database contains data on main diagnoses, primary diagnosis, and comorbidities at admission, recorded using International Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes and Japanese text data; age; sex; body height and weight; grade of activities of daily life on admission (Barthel Index) [6]; level of dyspnoea based on the Hugh-Jones classification [7]; ambulance use and discharge status. The database also includes the Age, Dehydration, Respiratory Failure, Orientation Disturbance and Blood Pressure (A-DROP) score for patients with community-acquired pneumonia, as well as data on whether C-reactive protein (CRP) was ≥ 20 mg/dL or infiltration covering at least two-thirds of one lung on chest radiography, mechanical ventilation during hospitalisation and hospitalisation costs. The sensitivity and specificity of the recorded ICD-10 codes and procedures in the Diagnosis Procedure Combination database were validated in a previous study [8].

The Hugh-Jones classification is a widely used dyspnoea scale with the following categories: I (the patient’s breathing is as good as that of other people of own age and build while working, walking and climbing hills or stairs), II (the patient is able to walk at the pace of normal people of the same age and build on level ground but is unable to keep up on hills or stairs), III (the patient is unable to keep up with normal people on level ground but is able to walk about a mile or more at their own pace), IV (the patient is unable to walk more than about 50 yards on level ground without resting), V (the patient is short of breath when talking or undressing or is unable to leave their home because of shortness of breath) and unspecified (the patient cannot be classified into any of the above grades because of bedridden status) [7].

The A-DROP score, established by the Japanese Respiratory Society, is a modified version of the CURB-65 (Confusion, Urea, Respiratory rate, Blood pressure-65) score [9]. The A-DROP score includes the following parameters: age (men: ≥ 70 years, women: ≥ 75 years), dehydration (blood urea nitrogen ≥ 21 mg/dL), respiratory failure (SaO2 ≤ 90% or PaO2 ≤ 60 mmHg), orientation disturbance (confusion) and low blood pressure (systolic blood pressure ≤ 90 mmHg).

The Institutional Review Board of The University of Tokyo approved this study and waived the requirement for patient informed consent because of the anonymous nature of the data.

Patient selection

We retrospectively collected data on patients admitted to hospitals for community-acquired pneumonia who were discharged from 1 April 2012 to 31 March 2014. Community-acquired pneumonia was defined according to the 2019 guidelines on the management of adults with community-acquired pneumonia published by the Infectious Diseases Society of America/American Thoracic Society [10].

We defined MRSA pneumonia patients as those who had both the ICD-10 code for MRSA pneumonia and records of the administration of anti-MRSA antibiotics (vancomycin, linezolid, teicoplanin or arbekacin) for more than 7 days.

Outcomes

The primary outcome of this study was all-cause in-hospital mortality. The secondary outcomes were 30-day in-hospital mortality, 90-day in-hospital mortality, length of stay and hospitalisation costs. The duration of antibiotic therapy was also evaluated.

Statistical analysis

The χ2 test was used to compare proportions between groups. The two-sample t-test was used to compare average values, and the Mann–Whitney test was used to compare the median values between groups.

Among the patients with pneumonia, we selected an MRSA pneumonia group and a non-MRSA pneumonia group with 1:4 matching: for each patient in the MRSA pneumonia group, we identified four non-MRSA patients of the same sex who were admitted to the same hospital in the same year and whose ages were within 5 years of the age of the MRSA patient. We used hospital identifiers for matching to cancel out site-specific effects such as physician practice patterns and treatment outcomes [11].

We performed multiple imputation for missing data on body mass index (BMI), Barthel Index, Hugh-Jones grade, A-DROP score, CRP ≥ 20 mg/mL or infiltration covering at least two-thirds of one lung on chest radiography, and hospitalisation costs. We replaced each missing value with a set of substituted plausible values by generating 20 complete datasets using the multivariate imputation by chained equations method. The following covariates were used to create these 20 complete datasets: MRSA pneumonia, age, sex, fiscal year, haemodialysis, mechanical ventilation at admission, ICU admission, arrival by ambulance, chronic obstructive pulmonary disease (COPD), interstitial lung disease, aspiration pneumonia, Pseudomonas aeruginosa pneumonia, cerebrovascular disease, Parkinson disease, diabetes, dementia, in-hospital death, 30-day in-hospital death and 90-day in-hospital death, with the assumption that data were missing at random [12, 13]. Estimates from these 20 imputed datasets were combined using Rubin’s rule to obtain combined imputation estimates and standard errors.

Then, using multivariable logistic regression analysis fitted with generalised estimating equations to account for the 1:4 matched-pair clustering, we examined the factors associated with all-cause in-hospital mortality. Multiple linear regression analysis fitted with generalised estimating equations was also used to assess hospitalisation costs. The following independent variables were included in the models: age, sex, MRSA pneumonia, BMI, Barthel Index, Hugh-Jones grade, A-DROP score, CRP ≥ 20 mg/mL or infiltration covering at least two-thirds of one lung on chest radiography, haemodialysis, mechanical ventilation at admission, ICU admission, arrival by ambulance, COPD, interstitial lung disease, aspiration pneumonia and Pseudomonas aeruginosa pneumonia. For sensitivity analyses, we added independent variables of chronic heart failure, chronic liver disease, sepsis, acute renal failure, leukopenia, immunosuppression and stroke to the multivariable regression models used in the main analyses. Statistical analyses were performed using SPSS, Version 22.0 (IBM SPSS, Armonk, NY, USA) and Stata, Version 16 (StataCorp, College Station, TX, USA).

Patient and public involvement

Patients or the public were not involved in the design, or conduct, or reporting, or dissemination plans of our research.

Results

A total of 450,317 patients were hospitalised for community-acquired pneumonia during the study period, including 3102 patients with MRSA pneumonia. There were 44,854 in-hospital deaths (10.0%). The patients with MRSA pneumonia were matched with 12,320 patients hospitalised for non-MRSA pneumonia. The mean age was 79.4 years (standard deviation [SD] = 10.8), and 66.4% of the patients were male. Table 1 shows the characteristics of patients with MRSA pneumonia and non-MRSA pneumonia after 1:4 matching. The MRSA pneumonia group tended to have lower BMIs, lower activities of daily living scores, higher Hugh-Jones grades, higher A-DROP scores, CRP ≥ 20 mg/mL or infiltration covering at least two-thirds of one lung on chest radiography, mechanical ventilation on the day of admission or the following day, ICU admission on the day of admission or the following day, ambulance use, aspiration pneumonia and end-stage renal disease with haemodialysis. The percentages of patients with smoking history and COPD were lower in the MRSA pneumonia group than in the non-MRSA pneumonia group.

Table 1 Characteristics of patients with MRSA pneumonia and patients with non-MRSA pneumonia after 1:4 matching
Full size table

All-cause in-hospital mortality was 31.2% in the MRSA pneumonia group, whereas it was 11.6% in the non-MRSA pneumonia group (Table 2). All-cause 30-day and 90-day mortality were also higher in the MRSA pneumonia group than in the non-MRSA pneumonia group. The duration of antibiotic therapy was longer in the MRSA pneumonia group than in the non-MRSA pneumonia group. Length of hospital stay was longer and hospitalisation costs were higher in the MRSA pneumonia group than in the non-MRSA pneumonia group.

Table 2 Outcomes of patients with MRSA pneumonia and patients with non-MRSA pneumonia after 1:4 matching
Full size table

The percentage of patients with missing data on Hugh-Jones grade was 25.1% for all patients with pneumonia, and this number was higher for patients with MRSA pneumonia (37.5%) before multiple imputation. Hospitalisation costs data were missing for 0.2% of all patients with pneumonia.

Table 3 shows the results of the multivariable logistic regression analysis with generalised estimating equations after multiple imputation for all-cause in-hospital mortality. MRSA pneumonia was significantly associated with higher mortality compared with non-MRSA pneumonia (adjusted odds ratio = 1.94; 95% confidence interval: 1.72–2.18; p < 0.001).

Table 3 Multivariable logistic regression analysis with generalised estimating equations accounting for clustering within matched pairs for all-cause in-hospital mortality
Full size table

Higher mortality was significantly associated with lower BMI, lower Barthel Index, higher Hugh-Jones grade, higher A-DROP score, CRP ≥ 20 mg/dL or infiltration of least two-thirds of one lung, mechanical ventilation at admission, interstitial lung disease and aspiration pneumonia. The sensitivity analyses showed similar results to the main analyses (Additional file 1: Tables S1 and S2).

We performed the multiple linear regression analysis with generalised estimating equations after multiple imputation for hospitalisation costs. Hospitalisation costs were significantly higher for patients with MRSA pneumonia than for those with non-MRSA pneumonia (difference = United States Dollar (USD) 8502; 95% confidence interval: USD 7959–9045; p < 0.001). In the sensitivity analyses, hospitalisation costs were significantly higher for patients with MRSA pneumonia than for those with non-MRSA pneumonia (difference = USD 8457; 95% confidence interval: USD 7919–8996; p < 0.001).

Discussion

Using a nationwide inpatient database in Japan, our study showed that mortality was higher in patients with MRSA pneumonia than in those with non-MRSA pneumonia. In addition, we showed that hospitalisation costs were higher for patients with MRSA pneumonia than for those with non-MRSA pneumonia.

In our study, in-hospital mortality among patients with MRSA pneumonia was 31.2%. Previous studies have reported MRSA pneumonia mortality to be around 30% [14, 15], which is comparable to our results.

Studies have shown conflicting results on the difference in mortality between patients with MRSA pneumonia and those with non-MRSA pneumonia. Some studies have shown higher mortality for patients with pneumonia caused by multidrug-resistant pathogens than for those with other types of pneumonia [2, 14], whereas other studies have found no significant differences [4, 16]. Several studies have shown high mortality in patients with MRSA bacteraemia [17,18,19], but few studies have focused on MRSA pneumonia. In the present study, we clearly demonstrated that mortality was twice as high in patients with MRSA pneumonia than in patients with non-MRSA pneumonia.

Additionally, previous studies have shown conflicting results on the difference in hospitalisation costs between MRSA and methicillin-sensitive Staphylococcus aureus pneumonia [20,21,22]. We confirmed that healthcare costs were higher for MRSA pneumonia than for non-MRSA pneumonia, including methicillin-sensitive Staphylococcus aureus pneumonia. Longer hospital stay may lead to higher hospitalisation costs in patients with MRSA pneumonia. Possible causes of the longer hospital stay are that patients with MRSA pneumonia are frailer and require longer duration of antibiotic therapy. The patients with MRSA pneumonia tended to have lower BMIs and lower activities of daily living scores. Although we adjusted for BMI and activities of daily living score, we were unable to fully evaluate frailty because the database lacked data on other components of the frailty definition, such as grip strength, exhaustion and slowness of walking [23].

Previous studies have shown several pulmonary comorbidities to be associated with higher mortality in patients with pneumonia, including interstitial lung disease [5, 24] and aspiration pneumonia [25]. The association between COPD and mortality remains uncertain in hospitalised adult patients with pneumonia [5, 26]. Our multivariable regression analysis included these comorbidities, finding no significant association between COPD and in-hospital mortality.

Limitations should be acknowledged. First, the database used for this study does not include bacterial culture or drug-susceptibility test results. We therefore combined an MRSA diagnosis and treatment for MRSA to identify patients with MRSA pneumonia. Second, the database does not include pulmonary function test results; thus, we were not able to account for the severity of pulmonary comorbidities. Finally, several factors, such as previous antibiotic use, were unmeasured, and we therefore could not eliminate confounding biases arising from these factors.

In conclusion, adjusted in-hospital mortality and hospitalisation costs were significantly higher for patients with MRSA pneumonia than for those with non-MRSA pneumonia in this matched-pair cohort study.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available.

Abbreviations

MRSA:

Methicillin-resistant Staphylococcus aureus

ICU:

Intensive care unit

ICD-10:

The International Classification of Disease and Related Health Problems, 10th Revision

A-DROP:

Age-Dehydration-Respiratory failure-Orientation disturbance-blood Pressure

CRP:

C-reactive protein

CURB-65:

Confusion-Urea-Respiratory rate-Blood pressure-65

BMI:

Body mass index

COPD:

Chronic obstructive pulmonary disease

SD:

Standard deviation

USD:

United States Dollar

References

  1. World Health Organization. Antimicrobial Resistance: Global Report on Surveillance. 2014. https://apps.who.int/iris/bitstream/10665/112642/1/9789241564748_eng.pdf?ua=1. Accessed 7 Feb 2020.

  2. Falcone M, Russo A, Giannella M, Cangemi R, Scarpellini MG, Bertazzoni G, et al. Individualizing risk of multidrug-resistant pathogens in community-onset pneumonia. PLoS ONE. 2015;10:e0119528.

    Article  Google Scholar 

  3. Jacobs DM, Shaver A. Prevalence of and outcomes from Staphylococcus aureus pneumonia among hospitalized patients in the United States, 2009–2012. Am J Infect Control. 2017;45:404–9.

    Article  Google Scholar 

  4. Zahar JR, Clec’h C, Tafflet M, Garrouste-Orgeas M, Jamali S, Mourvillier B, et al. Is methicillin resistance associated with a worse prognosis in Staphylococcus aureus ventilator-associated pneumonia? Clin Infect Dis 2005; 41: 1224–1231.

  5. Dusemund F, Chronis J, Baty F, Albrich WC, Brutsche MH. The outcome of community-acquired pneumonia in patients with chronic lung disease: a case-control study. Swiss Med Wkly. 2014;144:w1401.

    Google Scholar 

  6. Mahoney FI, Barthel DW. Functional evaluation: the Barthel index. Md State Med J. 1965;14:61–5.

    CAS  PubMed  Google Scholar 

  7. Hugh-Jones P, Lambert AV. A simple standard exercise test and its use for measuring exertion dyspnoea. Br Med J. 1952;1:65–71.

    Article  CAS  Google Scholar 

  8. Yamana H, Moriwaki M, Horiguchi H, Kodan M, Fushimi K, Yasunaga H. Validity of diagnoses, procedures, and laboratory data in Japanese administrative data. J Epidemiol. 2017;27:476–82.

    Article  Google Scholar 

  9. Shindo Y, Sato S, Maruyama E, Ohashi T, Ogawa M, Imaizumi K, et al. Comparison of severity scoring systems A-DROP and CURB-65 for community-acquired pneumonia. Respirology. 2008;13:731–5.

    Article  Google Scholar 

  10. Metlay JP, Waterer GW, Long AC, Anzueto A, Brozek J, Crothers K, Cooley LA, et al. Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200:e45–67.

    Article  Google Scholar 

  11. Hennessy S, Bilker WB, Berlin JA, Strom BL. Factors influencing the optimal control-to-case ratio in matched case-control studies. Am J Epidemiol. 1999;149:195–7.

    Article  CAS  Google Scholar 

  12. Knol MJ, Janssen KJ, Donders AR, Egberts AC, Heerdink ER, Grobbee DE, et al. Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example. J Clin Epidemiol. 2010;63:728–36.

    Article  Google Scholar 

  13. Groenwold RH, White IR, Donders AR, Carpenter JR, Altman DG, Moons KG. Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis. CMAJ. 2012;184:1265–9.

    Article  Google Scholar 

  14. Jung WJ, Kang YA, Park MS, Park SC, Leem AY, Kim EY, et al. Prediction of methicillin-resistant Staphylococcus aureus in patients with non-nosocomial pneumonia. BMC Infect Dis. 2013;13:370.

    Article  Google Scholar 

  15. Jwa H, Beom JW, Lee JH. Predictive factors of methicillin-resistant Staphylococcus aureus infection in elderly patients with community-onset pneumonia. Tuberc Respir Dis (Seoul). 2017;80:201–9.

    Article  Google Scholar 

  16. Gross AE, Van Schooneveld TC, Olsen KM, Rupp ME, Bui TH, Forsung E, et al. Epidemiology and predictors of multidrug-resistant community-acquired and health care-associated pneumonia. Antimicrob Agents Chemother. 2014;58:5262–8.

    Article  Google Scholar 

  17. van Hal SJ, Jensen SO, Vaska VL, Espedido BA, Paterson DL, Gosbell IB. Predictors of mortality in Staphylococcus aureus bacteremia. Clin Microbiol Rev. 2012;25:362–86.

    Article  Google Scholar 

  18. Inagaki K, Lucar J, Blackshear C, Hobbs CV. Methicillin-susceptible and methicillin-resistant Staphylococcus aureus bacteremia: nationwide estimates of 30-day readmission, in-hospital mortality, length of stay, and cost in the US. Clin Infect Dis. 2019;69:2112–8.

    PubMed  Google Scholar 

  19. Cosgrove SE, Sakoulas G, Perencevich EN, Schwaber MJ, Karchmer AW, Carmeli Y. Comparison of mortality associated with methicillin-resistant and methicillin-susceptible Staphylococcus aureus bacteremia: a meta-analysis. Clin Infect Dis. 2003;36:53–9.

    Article  Google Scholar 

  20. Ott E, Bange FC, Reichardt C, Graf K, Eckstein M, Schwab F, et al. Costs of nosocomial pneumonia caused by meticillin-resistant Staphylococcus aureus. J Hosp Infect. 2010;76:300–3.

    Article  CAS  Google Scholar 

  21. Taneja C, Haque N, Oster G, Shorr AF, Zilber S, Kyan PO, et al. Clinical and economic outcomes in patients with community-acquired Staphylococcus aureus pneumonia. J Hosp Med. 2010;5:528–34.

    Article  Google Scholar 

  22. Klein EY, Jiang W, Mojica N, Tseng KK, McNeill R, Cosgrove SE, et al. National costs associated with methicillin-susceptible and methicillin-resistant Staphylococcus aureus hospitalizations in the United States, 2010–2014. Clin Infect Dis. 2019;68:22–8.

    Article  Google Scholar 

  23. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56:146–56.

    Article  Google Scholar 

  24. Oda K, Yatera K, Fujino Y, Kido T, Hanaka T, Sennari K, et al. Respiratory comorbidities and risk of mortality in hospitalized patients with idiopathic pulmonary fibrosis. Respir Investig. 2018;56:64–71.

    Article  Google Scholar 

  25. Taylor JK, Fleming GB, Singanayagam A, Hill AT, Chalmers JD. Risk factors for aspiration in community-acquired pneumonia: analysis of a hospitalized UK cohort. Am J Med. 2013;126:995–1001.

    Article  Google Scholar 

  26. Neupane B, Walter SD, Krueger P, Marrie T, Loeb M. Predictors of inhospital mortality and re-hospitalization in older adults with community-acquired pneumonia: a prospective cohort study. BMC Geriatr. 2010;10:22.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by grants from the Ministry of Health, Labour and Welfare, Japan (19AA2007 and 20AA2005) and the Ministry of Education, Culture, Sports, Science and Technology, Japan (20H03907). The funding bodies had no role in the design of the study; the collection, analysis or interpretation of the data; or the writing of the manuscript.

Author information

Authors and Affiliations

  1. Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan

    Yukiyo Sakamoto, Yasuhiro Yamauchi, Taisuke Jo, Wakae Hasegawa, Hideyuki Takeshima & Takahide Nagase

  2. Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan

    Taisuke Jo & Nobuaki Michihata

  3. Department of Respiratory Medicine, NTT Medical Center Tokyo, 5-9-22, Higashi-Gotanda, Shinagawa-ku, Tokyo, 141-8625, Japan

    Hideyuki Takeshima

  4. Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan

    Hiroki Matsui & Hideo Yasunaga

  5. Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan

    Kiyohide Fushimi

Authors
  1. Yukiyo Sakamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yasuhiro Yamauchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Taisuke Jo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nobuaki Michihata
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wakae Hasegawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hideyuki Takeshima
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Hiroki Matsui
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Kiyohide Fushimi
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Hideo Yasunaga
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Takahide Nagase
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

TJ had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis, including and especially any adverse effects. YS contributed substantially to the study design, data analysis and interpretation, and the writing of the manuscript. HY contributed substantially to the data analysis and interpretation, and the writing of the manuscript. NM, WH, HT, HM, KF, YY and TN contributed substantially to the study design, data analysis and interpretation. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Taisuke Jo.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Table S1. Characteristics of patients with MRSA pneumonia and patients with non-MRSA pneumonia after 1:4 matching regarding with chronic heart failure, chronic liver diseases, sepsis, acute renal failure, leukopenia,immunosupression and stroke. Table S2; Sensitivity analyses adjusted comorbidities including chronic heart failure, chronicliver diseases, sepsis, acute renal failure, leukopenia,immunosupression and stroke for all-cause in-hospital mortality.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sakamoto, Y., Yamauchi, Y., Jo, T. et al. In-hospital mortality associated with community-acquired pneumonia due to methicillin-resistant Staphylococcus aureus: a matched-pair cohort study. BMC Pulm Med 21, 345 (2021). https://doi.org/10.1186/s12890-021-01713-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12890-021-01713-1

Keywords

BMC Pulmonary Medicine

ISSN: 1471-2466

Contact us