Evidence map›Paper›PMID 36082774›Full record

ArticleInfection control and hospital epidemiology2022

Hospital-onset bacteremia and fungemia: An evaluation of predictors and feasibility of benchmarking comparing two risk-adjusted models among 267 hospitals.

Kalvin C Yu, Gang Ye, Jonathan R Edwards, Vikas Gupta, Andrea L Benin, ChinEn Ai, Raymund Dantes

Open access · hybridAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Impact of a Nationwide Blood Culture Bottle Shortage in 2024 on Healthcare Facilities in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  6. Letter to the editor: Towards effective implementation of hospital-onset bacteraemia and fungaemia as a quality metric.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  7. Article
  8. Article
  9. Hospital-onset bacteraemia and fungaemia as a novel automated surveillance indicator: results from four European university hospitals, 2018 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Observational
  10. Article
  11. Observational
  12. Article
  13. Treated, hospital-onsetInfection control and hospital epidemiology · 2024
    Article
  14. Trends and outcomes in community-onset and hospital-onsetAntimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  15. Observational
  16. Review
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

7 authors at 2 institutions in 1 country.

Kalvin C YuBecton, Dickinson and Company, Franklin Lakes, New Jersey.ORCID 0000-0003-4651-2012
Gang YeBecton, Dickinson and Company, Franklin Lakes, New Jersey.
Jonathan R EdwardsCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0002-1461-8499
Vikas GuptaBecton, Dickinson and Company, Franklin Lakes, New Jersey.ORCID 0000-0001-5291-5446
Andrea L BeninCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0003-2765-6272
ChinEn AiBecton, Dickinson and Company, Franklin Lakes, New Jersey.
Raymund DantesCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0002-6726-6343
Becton Dickinson (United States) · USCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the prevalence of hospital-onset bacteremia and fungemia (HOB), identify hospital-level predictors, and to evaluate the feasibility of an HOB metric.

methodsWe analyzed 9,202,650 admissions from 267 hospitals during 2015-2020. An HOB event was defined as the first positive blood-culture pathogen on day 3 of admission or later. We used the generalized linear model method via negative binomial regression to identify variables and risk markers for HOB. Standardized infection ratios (SIRs) were calculated based on 2 risk-adjusted models: a simple model using descriptive variables and a complex model using descriptive variables plus additional measures of blood-culture testing practices. Performance of each model was compared against the unadjusted rate of HOB.

resultsOverall median rate of HOB per 100 admissions was 0.124 (interquartile range, 0.00-0.22). Facility-level predictors included bed size, sex, ICU admissions, community-onset (CO) blood culture testing intensity, and hospital-onset (HO) testing intensity, and prevalence (all

conclusionsHospital descriptors, aggregate patient characteristics, community bacteremia and/or fungemia burden, and clinical blood-culture testing practices influence rates of HOB. Benchmarking an HOB metric is feasible and should endeavor to include both facility and clinical variables.

Indexed as

BacteremiaFungemiaBenchmarkingFeasibility StudiesHospitalsHumans

Identifiers

PMID36082774
PMCPMC9588439
OpenAlexW4295079850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.