Evidence map›Paper›PMID 42343277›Full record

ArticleBMC infectious diseases2026

Identifying risk factors for adverse drug reactions in HIV/AIDS patients using LASSO regression modeling.

Shiqiong Huang, Liang Gong, Hui Qi, Guoqiang Zhou, Ji Sun

Abstract read
In one paragraph

Article in BMC 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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1 · What the graph read from it

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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.

Shiqiong HuangThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, 311 Yingpan Road, Kaifu District, Changsha, Hunan, 410005, China.
Liang GongDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, China.
Hui QiThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, 311 Yingpan Road, Kaifu District, Changsha, Hunan, 410005, China.
Guoqiang ZhouThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, 311 Yingpan Road, Kaifu District, Changsha, Hunan, 410005, China.
Ji SunThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, 311 Yingpan Road, Kaifu District, Changsha, Hunan, 410005, China. sunjifigting2021@163.com.

Funding

Natural Science Foundation of Hunan Province No.2025JJ80140Research Program of Hunan Provincial Health Commission D202303086966
6 · The paper itself

Abstract

objectiveWe perform a real-world study to investigate the incidence, clinical manifestations, suspected drugs, and associated risk factors of adverse drug reactions (ADRs) among Acquired Immunodeficiency Syndrome (AIDS) patients in the Chinese population.

methods918 patients were enrolled in this retrospective study. All suspected ADRs were assessed for causality using the World Health Organization-Uppsala Monitoring Centre system. We employed least absolute shrinkage and selection operator (LASSO) regression to identify risk factors for ADRs in patients with HIV/AIDS.

results210 of 918 patients experienced ADRs, with an incidence rate of 22.88%. Subsequently, standardized classification of ADRs was conducted using the Medical Dictionary for Regulatory Activities (MedDRA), revealing that blood and lymphatic system disorders were the most predominant manifestation, accounting for 5.77%. As to the type of drugs, Antibacterial (26.34%) and antiviral drugs (24.55%) were the most frequent causes for ADRs. Through the LASSO regression, the number of medications administered during hospitalization (odds ratio [OR] = 1.64, 95% confidence interval [CI]: 1.25-2.19) was identified as a significant influencing factor of ADRs in HIV patients.

conclusionThis study analyzed the specific manifestations of ADRs and their suspected drugs in hospitalized AIDS patients. More importantly, it revealed the potential correlation between the occurrence of ADRs and the number of medications administered during hospitalization in those patients. These findings provide a basis for clinical risk stratification management and offer reference data for optimizing treatment regimens.

Indexed as

Acquired Immunodeficiency SyndromeDrug-Related Side Effects and Adverse ReactionsHIV InfectionsAdolescentAdultAgedChinaFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultAcquired immunodeficiency syndromeAdverse drug reactionsHuman immunodeficiency virusLASSOReal-world

Identifiers

PMID42343277
PMCPMC13525667

What Socratic holds

Textmetadata
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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 Socratic graph.