ArticleBMC infectious diseases2026
Comparison of talaromycosis in HIV-infected patients with and without Talaromyces marneffei bloodstream infection.
Article in BMC infectious diseases, 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.
- Positive Syphilis Serology With Concurrent Disseminated Talaromycosis marneffei in a Patient With HIV: A Case Report.The American journal of case reports · 2026Article
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7 authors.
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Abstract
backgroundThe risk factors for HIV-positive Talaromyces marneffei patients (HTM) with T.marneffei bloodstream infection (TM BSI) remain unclear. We retrospectively analyzed the independent risk factors for HTM with TM BSI.
methodsA retrospective analysis of the clinical records of HTM was conducted. Patients were stratified into TM BSI and non-TM BSI groups on the basis of blood culture results. Clinical characteristics and prognoses were compared between the groups. The study employed multivariate logistic regression to find independent determinants associated with TM BSI development among HTM.
resultsAmong the HTM, statistically significant between-group differences were observed in the incidence of fever, Pneumocystis jirovecii pneumonia, and laboratory parameters including neutrophil percentage, hemoglobin, platelet, alanine aminotransferase (ALT), aspartate aminotransferase (AST), ALT/AST ratio, albumin, total bilirubin, C-reactive protein, and CD4+ T cell count. Compared with non-TM BSI patients, TM BSI patients had elevated 28-day mortality rates. Logistic regression analysis revealed that the neutrophil percentage, platelet, AST, and CD4+ T cell count were independent predictors of TM BSI in HTM. The predictive equation derived from multivariate analysis was as follows: Logit(p) = -2.336 + 0.053×neutrophil percentage − 0.011×platelet + 0.02×AST − 0.019×CD4+ T cell. This equation exhibited strong predictive performance with an AUC of 0.909 (95% CI: 0.861–0.957).
conclusionsThis research confirmed that the neutrophil percentage, platelet, AST, and CD4+ T cell count were the independent risk factors for TM BSI in HTM. The predictive model incorporating these four parameters exhibited excellent clinical utility for the early identification of TM BSI. These findings may assist clinicians in prognostic evaluation and timely intervention for patients with HTM.
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