Evidence map›Paper›PMID 33890558›Full record

ArticleInfection control and hospital epidemiology2022

Bacterial coinfection in influenza pneumonia: Rates, pathogens, and outcomes.

Patricia S Bartley, Abhishek Deshpande, Pei-Chun Yu, Michael Klompas, Sarah D Haessler, Peter B Imrey, Marya D Zilberberg, Michael B Rothberg

Open access · greenAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Impact of Procalcitonin Testing on Antibiotic Use in Patients Hospitalized With Community-Acquired Pneumonia: A Multi-Hospital Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
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  7. Review
  8. A Pilot Study ofDiagnostics (Basel, Switzerland) · 2026
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  20. ProcCluster® and procaine hydrochloride inhibit the growth ofFrontiers in cellular and infection microbiology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Patricia S BartleyDepartment of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio.
Abhishek DeshpandeDepartment of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio.
Pei-Chun YuDepartment of Quantitative Health Sciences, Cleveland Clinic, Ohio.
Michael KlompasDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Sarah D HaesslerDivision of Infectious Diseases, Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, Massachusetts.
Peter B ImreyDepartment of Quantitative Health Sciences, Cleveland Clinic, Ohio.
Marya D ZilberbergEviMed Research Group, LLC, Goshen, Massachusetts.
Michael B RothbergCenter for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
Cleveland Clinic · USCase Western Reserve University · USHarvard Pilgrim Health Care · USUniversity of Massachusetts Chan Medical School · US

Funding

Reducing Antimicrobial Overuse in HCAP Through Personalized Antimicrobial RecommendationsR01HS024277 · AHRQ · CLEVELAND CLINIC FOUNDATION · PI ROTHBERG, MICHAEL B · 2015 to 2019
$2.5M
AHRQ HHS R01 HS024277
6 · The paper itself

Abstract

backgroundEvidence from pandemics suggests that influenza is often associated with bacterial coinfection. Among patients hospitalized for influenza pneumonia, we report the rate of coinfection and distribution of pathogens, and we compare outcomes of patients with and without bacterial coinfection.

methodsWe included adults admitted with community-acquired pneumonia (CAP) and tested for influenza from 2010 to 2015 at 179 US hospitals participating in the Premier database. Pneumonia was identified using an International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) algorithm. We used multiple logistic and gamma-generalized linear mixed models to assess the relationships between coinfection and inpatient mortality, intensive care unit (ICU) admission, length of stay, and cost.

resultsAmong 38,665 patients hospitalized with CAP and tested for influenza, 4,313 (11.2%) were positive. In the first 3 hospital days, patients with influenza were less likely than those without to have a positive culture (10.3% vs 16.2%; P < .001), and cultures were more likely to contain Staphylococcus aureus (34.2% vs 28.2%; P = .007) and less likely to contain Streptococcus pneumoniae (24.9% vs 31.0%; P = .008). Of S. aureus isolates, 42.8% were methicillin resistant among influenza patients versus 53.2% among those without influenza (P = .01). After hospital day 3, pathogens for both groups were similar. Bacterial coinfection was associated with increased odds of in-hospital mortality (aOR, 3.00; 95% CI, 2.17-4.16), late ICU transfer (aOR, 2.83; 95% CI, 1.98-4.04), and higher cost (risk-adjusted mean multiplier, 1.77; 95% CI, 1.59-1.96).

conclusionsIn a large US inpatient sample hospitalized with influenza and CAP, S. aureus was the most frequent cause of bacterial coinfection. Coinfection was associated with worse outcomes and higher costs.

Indexed as

CoinfectionCommunity-Acquired InfectionsInfluenza, HumanPneumoniaAdultHumansStaphylococcus aureus

Identifiers

PMID33890558
PMCPMC9116507
OpenAlexW3154022360

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.