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. 2024 Jun 6;10(11):e32560.
doi: 10.1016/j.heliyon.2024.e32560. eCollection 2024 Jun 15.

Risk factors and prediction model for mortality in HIV/Talaromyces marneffei co-infection: A retrospective cohort study

Yan Zhang  1 , Kailong Gu  1 , Wei Du  1 , Aifang Xu  1
Affiliations

Risk factors and prediction model for mortality in HIV/Talaromyces marneffei co-infection: A retrospective cohort study

Yan Zhang et al. Heliyon. .

Abstract

Background: This study aimed to identify the risk factors associated with mortality among patients co-infected with human immunodeficiency virus (HIV) and Talaromyces marneffei (TM) in China, and develop a risk prediction model.

Methods: In this retrospective cohort analysis conducted from 2013 to 2024, comprehensive clinical data from 160 patients were analyzed using a logistic regression model to identify mortality predictors and construct a predictive model. An additional 36 patients constituted the validation cohort, which was specifically designed to evaluate the predictive value of the model. Model performance was assessed using the area under the curve (AUC).

Results: The overall mortality rate for hospitalized patients with HIV/TM co-infection was 17.35 %. The median age was 35.0 years, and 89.30 % were male. Additionally, 89.80 % of the patients reported fever and 87.76 % presented with lymphadenopathy. Key independent risk factors associated with mortality included age (odds ratio (OR): 1.103, 95 % confidence interval (CI) = 1.033-1.178, P = 0.003), procalcitonin (PCT) levels (OR: 1.270, 95 % CI = 1.052-1.534, P = 0.013), and urea to albumin ratio (UAR) (OR: 1.491, 95 % CI = 1.175-1.892, P < 0.001). Advanced age, elevated PCT levels, and increased UAR were identified as independent risk factors of mortality. Furthermore, the mortality prediction probability combining age, PCT, and UAR exhibited a high predictive value in patients with HIV/TM co-infection. Additionally, the AUC showed a good discrimination ability in the validation group (AUC, 0.898).

Conclusions: Advanced age, elevated PCT levels, and increased UAR significantly determine mortality in patients with HIV/TM co-infection. These findings underscore the potential of using laboratory parameters as predictive indicators of mortality, facilitating the early identification of HIV/TM co-infection cases in clinical practice.

Keywords: HIV; Mortality; Risk factors; Talaromyces marneffei.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Flowchart of the HIV/TM co-infected patient enrollment.
Fig. 2
Fig. 2
Diagnostic value of different markers in predicting death.
Fig. 3
Fig. 3
Evaluation of the prediction model.
See this image and copyright information in PMC

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