Evidence map›Paper›PMID 40548355›Full record

ArticleInfection control and hospital epidemiology2025

Improving containment and prevention strategies using a patient transfer network representative of patients with multidrug-resistant organisms.

Rany Octaria, Stephen Deppen, Allison Chan, James C Slaughter, Pamela Talley, Rachel B Slayton, Peter F Rebeiro, Marion A Kainer

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2025. 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

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.

Rany Octaria *Vanderbilt Epidemiology Ph.D. Program, Vanderbilt University Graduate School, Nashville, TN, USA.ORCID 0000-0002-5425-3201
Stephen DeppenDepartment of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Allison ChanHealthcare-Associated Infections and Antimicrobial Resistance Program, Communicable and Environmental Diseases and Emergency Preparedness, Tennessee Department of Health, Nashville, TN, USA.
James C SlaughterDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Pamela TalleyHIV/STI/Viral Hepatitis Program, Communicable and Environmental Diseases and Emergency Preparedness, Tennessee Department of Health, Nashville, TN, USA.ORCID 0000-0002-3747-3739
Rachel B SlaytonDivision of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0003-4699-8040
Peter F RebeiroDepartment of Medicine, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0003-1951-9104
Marion A Kainer *Healthcare-Associated Infections and Antimicrobial Resistance Program, Communicable and Environmental Diseases and Emergency Preparedness, Tennessee Department of Health, Nashville, TN, USA.ORCID 0000-0001-7678-8744

Funding

NRSA Training CoreTL1TR002244 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Julie A. Bastarache · 2017 to 2026
$4.6M
NCATS NIH HHS TL1 TR002244
6 · The paper itself

Abstract

objectivesInterfacility patient transfers contribute to the regional spread of multidrug-resistant organisms (MDROs). We evaluated whether transfer patterns of inpatients with similar characteristics to carbapenem-resistant Enterobacterales (CRE) case-patients (CRE surrogates) better reflect hospital-level CRE burden than traditionally used populations.

designWe determined the risk factors for subsequent hospital admission using demographic and clinical information from Tennessee Department of Health tracked CRE case-patients from July 2015 to September 2019. Risk factors were used to identify CRE surrogates among inpatients in the 2018 Tennessee Hospital Discharge Data System (HDDS). Transfer networks of CRE surrogates, Medicare/TennCare beneficiaries, and all-inpatients with ≤365 days of intervening community stays were compared with the transfer networks of CRE case-patients in 2019. The associations between hospital-level CRE prevalence and hospitals' incoming transfer volumes from each network were assessed using negative binomial regression models.

resultsEight risk factors for subsequent hospital admission were identified from 2,518 CRE case-patients, which were used to match CRE case-patients with HDDS inpatients, resulting in 10,069 surrogate patients. CRE surrogate network showed more structural similarities with the CRE case-patient network than with the all-inpatient and Medicare/TennCare networks. A 33% increase in hospitals' CRE prevalence in 2019 was associated with each doubling of incoming transfer of CRE surrogates in 2018 (adjusted Risk Ratio [aRR] 1.33, 95%CI: 1.1, 1.59), higher than all-inpatient (aRR 1.27, 95% CI: 1.08, 1.51) and Medicare/TennCare networks (aRR 1.21, 95% CI: 1.02, 1.44).

conclusionsSurrogate transfer patterns were associated with hospital-level CRE prevalence, highlighting their value in MDRO containment and prevention.

Indexed as

Cross InfectionEnterobacteriaceae InfectionsInfection ControlPatient TransferAgedAged, 80 and overCarbapenem-Resistant EnterobacteriaceaeDrug Resistance, Multiple, BacterialFemaleHumansMaleMiddle AgedRisk FactorsTennessee

Identifiers

PMID40548355
PMCPMC12410890

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