Evidence map›Paper›PMID 29762662›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

National Costs Associated With Methicillin-Susceptible and Methicillin-Resistant Staphylococcus aureus Hospitalizations in the United States, 2010-2014.

Eili Y Klein, Wendi Jiang, Nestor Mojica, Katie K Tseng, Ryan McNeill, Sara E Cosgrove, Trish M Perl

Registry-linked trialAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06272994 (Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin), which is not on this map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06272994 nacompletednot on this mapstarted 2024, after this paper: background citation

Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin (STOP-Vanc)

TypeinterventionalSponsorVanderbilt University Medical CenterRan2024 to 2025Enrolled277ConditionsCommunity-acquired PneumoniaArmsMRSA Nasal Swab PCR
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Cost-effectiveness of an Environmental Cleaning Bundle for Reducing Healthcare-associated Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Trial
  6. Review
  7. Article
  8. Article
  9. The Hospitalization Cost of Pediatric Staphylococcus aureus Bacteremia.Journal of the Pediatric Infectious Diseases Society · 2026
    Article
  10. Article
  11. Phenotypic and Genotypic Characterization ofPathogens (Basel, Switzerland) · 2025
    Article
  12. Article
  13. Observational
  14. Antimicrobial Resistance Characteristics ofInfection and drug resistance · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Eili Y KleinDepartment of Emergency Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Wendi JiangCenter for Disease Dynamics, Economics & Policy, Washington, DC.
Nestor MojicaCenter for Disease Dynamics, Economics & Policy, Washington, DC.
Katie K TsengCenter for Disease Dynamics, Economics & Policy, Washington, DC.
Ryan McNeillReuters News Agency, New York.
Sara E CosgroveDivision of Infectious Diseases, Department of Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Trish M PerlDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infections caused by methicillin-resistant Staphylococcus aureus (MRSA) have been associated with worse patient outcomes and higher costs of care than methicillin-susceptible (MSSA) infections. However, since prior studies found these differences, the healthcare landscape has changed, including widespread dissemination of community-associated strains of MRSA. We sought to provide updated estimates of the excess costs of MRSA infections. Methods: We conducted a retrospective analysis using data from the National Inpatient Sample from the Agency for Healthcare Research and Quality for the years 2010-2014. We calculated costs for hospitalizations, including MRSA- and MSSA-related septicemia and pneumonia infections, as well as MRSA- and MSSA-related infections from conditions classified elsewhere and of an unspecified site ("other infections"). Differences in the costs of hospitalization were estimated using propensity score-adjusted mortality outcomes for 2010-2014. Results: In 2014, estimated costs were highest for pneumonia and sepsis-related hospitalizations. Propensity score-adjusted costs were significantly higher for MSSA-related pneumonia ($40725 vs $38561; P = .045) and other hospitalizations ($15578 vs $14792; P < .001) than for MRSA-related hospitalizations. Similar patterns were observed from 2010 to 2013, although crude cost differences between MSSA- and MRSA-related pneumonia hospitalizations rose from 25.8% in 2010 to 31.0% in 2014. Compared with MSSA-related hospitalizations, MRSA-related hospitalizations had a higher adjusted mortality rate. Conclusions: Although MRSA infections had been previously associated with higher hospitalization costs, our results suggest that, in recent years, costs associated with MSSA-related infections have converged with and may surpass costs of similar MRSA-related hospitalizations.

Indexed as

Health Care CostsAdultAgedHospitalizationHumansMethicillin ResistanceMiddle AgedRetrospective StudiesStaphylococcal InfectionsStaphylococcus aureusUnited States

Identifiers

PMID29762662
PMCPMC6293004

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.