Evidence map›Paper›PMID 41735290›Full record

ArticleNature communications2026

Using electronic health records to assess the relationship between colonization pressure and nosocomial pathogen acquisition.

Luke Sagers, Ziming Wei, Caroline McKenna, Christina Chan, Anna A Agan, Theodore R Pak, Chanu Rhee, Michael Klompas, Sanjat Kanjilal

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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.

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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Luke Sagers *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Ziming Wei *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Caroline McKennaDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Christina ChanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Anna A AganDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Theodore R PakDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1676-2523
Chanu RheeDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Michael KlompasDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8641-4498
Sanjat KanjilalDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. s.kanjilal@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-1221-5725

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NLM NIH HHS T15 LM007092U.S. Department of Health & Human Services | Agency for Healthcare Research and Quality (AHRQ) K08-HS027841-01A1U.S. Department of Health & Human Services | Agency for Healthcare Research and Quality (AHRQ) K08-HS030118U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (NLM) 2T15LM007092-31
6 · The paper itself

Abstract

Hospitalized patients are at risk for developing hospital acquired infections. Active surveillance for bacterial colonization is effective at preventing infection but is resource-intensive and limited to high-risk units and a subset of high-risk pathogens. Colonization pressure, defined as the prevalence of an organism among ward co-occupants, has been associated with hospital acquired infection and can be calculated in real-time using data in the electronic health record, but its use by infection control programs has been limited. As a proof-of-concept study, we built an open source informatics tool to model the impact of colonization pressure on nosocomial acquisition for a wide range of drug susceptible and resistant pathogens using electronic health record data from a large integrated health system in the Northeast United States, collected between May 2015 and July 2024. Using a matched case-control design, we show a consistent positive association between colonization pressure for an organism and nosocomial acquisition of that organism, regardless of whether that organism was drug susceptible or resistant. We also observed significant positive relationships between disparate organisms (e.g., colonization pressure from vancomycin resistant Enterococcus faecium and hospital acquisition of extended-spectrum beta-lactamase producing Klebsiella pneumoniae) as well as negative associations, primarily between organisms that inhabit distinct niches, such as colonization pressure from drug resistant Pseudomonas aeruginosa and hospital acquisition of vancomycin susceptible Enterococcus faecalis. Our results suggest nosocomial transmission of potential pathogens is widespread in a tertiary care hospital system with advanced infection control programs. We have made the software and our patient-level dataset publicly available to support future research and infection control interventions.

Indexed as

Cross InfectionElectronic Health RecordsAnti-Bacterial AgentsCase-Control StudiesEnterococcus faecalisEnterococcus faeciumHumansInfection ControlKlebsiella pneumoniaePseudomonas aeruginosaAnti-Bacterial Agents

Identifiers

PMID41735290
PMCPMC13043742

What OpenQuestion holds

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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.