ArticleScientific reports2026
Predictors of opportunistic infections among people living with HIV: a prospective cohort study from a tertiary care setting in India.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A Preliminary Analysis of Sex-Based Differences in Immune Status, ART Adherence, and Opportunistic Infections Among HIV-Positive Patients in Rural Eastern Cape, South Africa.Tropical medicine and infectious disease · 2026Article
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5 authors.
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Abstract
Opportunistic infections (OIs) remain a leading cause of morbidity and mortality among people living with HIV (PLHIV). Early identification of high-risk individuals is vital to guide the preventive measures and the efficient use of healthcare resources. We conducted a prospective longitudinal cohort study involving 223 PLHIV at a tertiary care center in Western India. Baseline demographic, clinical, and laboratory data were collected, including CD4 count, nutritional status, serum albumin, and ART (antiretroviral therapy) history. Patients were followed for the development of OIs. Logistic regression was used to identify independent predictors of OIs. Kaplan-Meier curves were used to assess OI-free survival across different groups. Out of 223 patients, 97 (43.5%) developed at least one OI. The maximum duration of follow-up was 36 months for OI development. Tuberculosis (41.2%), candidiasis (16.5%), and NTM (Non-tuberculous mycobacteria) infections (11.3%) were the most common OIs. On multivariable analysis, low body mass index (BMI < 18.5 kg/m
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