Evidence mapPaperPMID 41689077Full record

ArticleAIDS research and therapy2026

Factors associated with readmission risk in patients with HIV stratified by BMI: a hospital-based retrospective matched cohort study.

Yirong Shi, Qiuxia Deng, Weimei Chen, Liyuan Zhang, Baohong Wu, Suqing Chen, Huiwen Chen, Yun He, Min Wen

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Article in AIDS research and therapy, 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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5 · Who and what money

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9 authors.

Yirong Shi *The Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Qiuxia Deng *The Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Weimei ChenThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Liyuan ZhangThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Baohong WuThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Suqing ChenThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Huiwen ChenThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Yun HeThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China.
Min WenThe Third People's Hospital of Shenzhen, Shenzhen, 518112, China. mimier@163.com.

Funding

Shenzhen Natural Science Fund JCYJ20230807143409019
6 · The paper itself

Abstract

backgroundThe role of body mass index (BMI) as an effect modifier for readmission risk in people with HIV (PWH) remains underexplored.

objectiveTo compare factors associated with two-year all-cause readmission in PWH, stratified by baseline BMI.

methodsA retrospective matched (1:1 by age/sex) cohort study was conducted at a major public infectious diseases hospital in Shenzhen, China, serving a diverse urban population including migrants and low-income individuals. Adults admitted (Jan-Jun 2020) were stratified into underweight (BMI < 18.5 kg/m², n = 80) and normal/overweight (BMI 18.5-<28 kg/m², n = 231) groups. Multivariable logistic regression and ROC analysis were performed within each stratum.

resultsThe readmission rate was higher in the underweight group (61.3% vs. 46.8%, p = 0.023). For underweight PWH, unemployment (adjusted Odds Ratio [aOR] = 8.11, 95% CI 1.82-36.16) and lower nadir CD4 + count (aOR = 0.994 per cell/µL decrease, 95% CI 0.989-0.999) were independent risk factors. For normal/overweight PWH, unemployment (aOR = 2.21, 95% CI 1.12-4.38) and longer time since diagnosis (> 5 vs. 0-1 years, aOR = 4.28, 95% CI 2.02-9.07) were risk factors, while being widowed/divorced was protective (aOR = 0.30, 95% CI 0.10-0.86). Predictive models showed good to excellent accuracy (AUCs: 0.820 and 0.748, respectively).

conclusionsRisk factors for readmission differ markedly by baseline BMI, confirming its role as an effect modifier. Interventions should be tailored: integrated nutritional and immunological support for underweight PWH, and chronic disease management with attention to social determinants for others.

Indexed as

Body Mass IndexHIV InfectionsPatient ReadmissionAdultCD4 Lymphocyte CountChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsThinnessBody mass indexEffect modifierHIVMatched cohort studyReadmissionRisk factors

Identifiers

PMID41689077
PMCPMC13005466

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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 Socratic graph.