The clinic-based predictive modeling for prognosis of patients with cryptococcal meningitis.

ABSTRACT:

Background

Cryptococcal meningitis (CM) is the most common fungal infection of the central nervous system that can cause significant morbidity and mortality. Although several prognostic factors have been identified, their clinical efficacy and use in combination to predict outcomes in immunocompetent patients with CM are not clear. Therefore, we aimed to determine the utility of those prognostic factors alone or in combination in predicting outcomes of immunocompetent patients with CM.

Methods

The demographic and clinical data of patients with CM were collected and analyzed. The clinical outcome was graded by the Glasgow outcome scale (GOS) at discharge, and patients were divided into good (score of 5) and unfavorable (score of 1-4) outcome groups. Prognostic model was creat

SUBMITTER: Zhang C 

PROVIDER: S-EPMC10210386 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature