ArticlePLoS neglected tropical diseases2025
Clinical features and mortality risk factors in non-HIV elderly patients with cryptococcal meningitis: A retrospective cohort study from 2013 to 2022.
Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Article
- Cryptococcosis in Colombia: Analysis of Data from Laboratory-Based Surveillance 2017-2024.Journal of fungi (Basel, Switzerland) · 2026Article
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10 authors.
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Abstract
backgroundCryptococcal meningitis (CM) is a life-threatening fungal infection with increasing incidence among non-HIV (human immunodeficiency virus) elderly populations. However, data on CM in non-HIV elderly patients are limited. This study aimed to analyze the clinical features, outcomes, and prognostic factors in non-HIV elderly CM patients using the largest dataset to date.
methodsA retrospective cohort study was conducted using data from 667 non-HIV CM patients treated between 2013 and 2022. Patients were categorized into elderly (≥60 years) and non-elderly groups. Clinical features, laboratory findings, and neuroimaging results were analyzed. Least Absolute Shrinkage and Selection Operator regression identified prognostic factors, and multivariate logistic regression was used to construct a nomogram for predicting mortality. The model's discrimination, calibration, and decision curve analysis (DCA) were evaluated.
resultsElderly patients accounted for 23.5% of the study population, exhibited distinct clinical characteristics, and had a significantly higher one-year all-cause mortality rate (31.2% [95% confidence interval (CI) 23.61-38.71] vs. 13.8% [95% CI 10.77-16.81], P < 0.001). Four prognostic factors for elderly patients were identified, and a predictive nomogram was developed. The predictive model achieved an area under the curve (AUC) of 0.81 (95% CI 0.71-0.91), and the AUC was 0.79 (95% CI 0.70-0.87) in the internal validation. The model was well-calibrated, and DCA indicated a net benefit.
conclusionNon-HIV elderly CM patients present distinct clinical characteristics and have a higher mortality risk. The predictive model may facilitate the early identification of high-risk patients and guide timely interventions.
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