Evidence map›Paper›PMID 42751291›Full record

ArticleOpen forum infectious diseases2026

Patient Factors Associated With Antimicrobial Utilization in the Solid Organ Transplant Population.

Emily Wong, Malvika Govil, Donglu Xie, Linda S Hynan, Mark J Herrington, James B Cutrell, Ricardo M La Hoz

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emily WongDivision of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0009-0003-4933-495X
Malvika GovilDepartment of Neurology, New York Langone Health, New York University Grossman School of Medicine, New York City, New York, USA.
Donglu XieResearch Academic Systems, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Linda S HynanDivision of Psychology, Department of Psychiatry and O'Donnell School of Public Health (Biostatistics), University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-4642-7769
Mark J HerringtonDepartment of Pharmacy, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0009-0007-6296-7494
James B CutrellDivision of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0003-1359-4701
Ricardo M La HozDivision of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-1560-3192

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1KL2TR001103 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$4.0M
NCATS NIH HHS KL2 TR001103
6 · The paper itself

Abstract

Background: The U.S. Centers for Disease Control and Prevention, through the National Healthcare Safety Network (NHSN), developed antimicrobial utilization (AU) metrics for hospital reporting and benchmarking. We applied this framework, using a modified NHSN definition of inpatient AU, to identify factors associated with antimicrobial use among solid organ transplant (SOT) recipients. Methods: We conducted a retrospective single-center cohort study of first adult SOT recipients from 2010 to 2019. Inpatient AU during the first 6 months post-transplant was calculated as facility-wide days of therapy (DOT) per 1000 patient-days using a modified NHSN definition. Organ-specific multiple linear regression identified baseline characteristics associated with AU. Results: Among 1845 recipients (293 heart, 531 kidney, 426 liver, and 595 lung), AU varied by organ: heart 560, kidney 285, liver 622, and lung 1111 DOT/1000 patient-days. In heart recipients, pretransplant infection requiring intravenous antibiotics and longer ischemic time were associated with higher AU, while transplant year, A-blood group, and medical condition at transplant predicted lower AU. In lung recipients, ischemic time increased AU, whereas age and lung allocation score decreased AU. In liver recipients, only the transplant year was associated with lower AU. In kidney recipients, ischemic time was associated with increased AU, while transplant year, functional status, and insurance type were associated with lower AU. Conclusions: AU in the first 6 months post-SOT was substantial and varied by organ type, with specific baseline characteristics influencing its use. Applying AU metrics to SOT populations can inform targeted antimicrobial stewardship interventions.

Indexed as

antibiotic stewardshipantibiotic utilizationdays of therapymultidrug resistancesolid organ transplantation

Identifiers

PMID42751291
PMCPMC13579475

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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.