Evidence map›Paper›PMID 42890140›Full record

ArticleFrontiers in cellular and infection microbiology2026

Prediction of vancomycin-resistant phenotype in ICU-onset sterile-site

Wenhao Sun, Xiao-Lan Gu, Qingmei Ma, Jinxia Hou, Yanbin Chang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenhao SunSchool of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou, China.
Xiao-Lan GuDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Qingmei MaDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Jinxia HouDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Yanbin ChangDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vancomycin-resistant enterococci challenge intensive care. During the interval between organism identification and final phenotypic antimicrobial susceptibility testing, clinicians must balance delayed effective anti-VRE therapy against unnecessary anti-VRE exposure. We aimed to develop and pseudo-temporally validate a model for the vancomycin-resistance phenotype of the index isolate; the model does not determine whether the isolate represents clinically significant infection. Methods: In this retrospective MIMIC-IV cohort, adult ICU admissions with a sterile-site Results: Among 811 admissions (507 resistant isolates; prevalence, 62.5%), Elastic Net achieved a validation AUROC of 0.835 (95% CI, 0.778-0.889) and calibration slope of 0.91 (0.71-1.18). Tree-model AUROCs were 0.842-0.855; non-significant pairwise DeLong tests were evidence insufficient to detect differences, not evidence of equivalence. Removing both species indicators reduced AUROC to 0.657 (DeLong Conclusions: The model predicts isolate resistance phenotype, not adjudicated infection, and is not a stand-alone treatment rule. These estimates are specific to a single-center cohort with high VRE prevalence. Independent external validation, local recalibration, clinical adjudication, and periodic updating are prerequisites for use.

Indexed as

Gram-Positive Bacterial InfectionsIntensive Care UnitsVancomycin ResistanceVancomycin-Resistant EnterococciAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsPhenotypeRetrospective StudiesVancomycinAnti-Bacterial AgentsVancomycinantimicrobial stewardshipclinical prediction modelintensive care unitMIMIC-IVtemporal validationvancomycin-resistant Enterococcus

Identifiers

PMID42890140
PMCPMC13672234

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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.