Evidence map›Paper›PMID 37381734›Full record

ArticleInfection control and hospital epidemiology2023

Early coronavirus disease 2019 (COVID-19) pandemic effects on individual-level risk for healthcare-associated infections in hospitalized patients.

Trevor S Farthing, Ashlan Jolley, Katelin B Nickel, Cherie Hill, Dustin Stwalley, Kimberly A Reske, Jennie H Kwon, Margaret A Olsen, Jason P Burnham, Erik R Dubberke and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Infection control and hospital epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Trevor S FarthingNorth Carolina State University, Raleigh, North Carolina.ORCID 0000-0003-1169-9913
Ashlan JolleyNorth Carolina State University, Raleigh, North Carolina.ORCID 0000-0002-9373-9298
Katelin B NickelDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0003-4116-512X
Cherie HillDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0001-9623-2591
Dustin StwalleyDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0002-6427-0590
Kimberly A ReskeDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0003-4752-8796
Jennie H KwonDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0001-5249-6501
Margaret A OlsenDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0001-7070-9320
Jason P BurnhamDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0002-4777-3006
Erik R DubberkeDivision of Infectious Diseases, Washington University, St. Louis, Missouri.ORCID 0000-0003-3779-2796
Cristina LanzasNorth Carolina State University, Raleigh, North Carolina.ORCID 0000-0002-4039-0336
CDC Modeling Infectious Disease in Healthcare Program
Washington University in St. Louis · USNorth Carolina State University · US

Funding

NCEZID CDC HHS U01 CK000587
6 · The paper itself

Abstract

objectiveWe compared the individual-level risk of hospital-onset infections with multidrug-resistant organisms (MDROs) in hospitalized patients prior to and during the coronavirus disease 2019 (COVID-19) pandemic. We also quantified the effects of COVID-19 diagnoses and intrahospital COVID-19 burden on subsequent MDRO infection risk.

designMulticenter, retrospective, cohort study.

settingPatient admission and clinical data were collected from 4 hospitals in the St. Louis area. PATIENTS: Data were collected for patients admitted between January 2017 and August 2020, discharged no later than September 2020, and hospitalized ≥48 hours.

methodsMixed-effects logistic regression models were fit to the data to estimate patients' individual-level risk of infection with MDRO pathogens of interest during hospitalization. Adjusted odds ratios were derived from regression models to quantify the effects of the COVID-19 period, COVID-19 diagnosis, and hospital-level COVID-19 burden on individual-level hospital-onset MDRO infection probabilities.

resultsWe calculated adjusted odds ratios for COVID-19-era hospital-onset

conclusionsOur results support the growing body of evidence indicating that the COVID-19 pandemic has increased hospital-onset MDRO infections.

Indexed as

COVID-19Cross InfectionEnterobacteriaceae InfectionsCohort StudiesCOVID-19 TestingDelivery of Health CareDrug Resistance, Multiple, BacterialHumansPandemicsPseudomonas aeruginosaRetrospective StudiesStaphylococcus aureus

Identifiers

PMID37381734
PMCPMC10755158
OpenAlexW4382501605

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.