Clinical characteristics, treatment, and outcome of low-risk non-HIV-associated cryptococcal meningitis: A retrospective cohort study.

Although non-human immunodeficiency virus (HIV)-associated cryptococcal meningitis (CM) is a severe disease, there are still some non-HIV CM patients with a low risk of therapeutic failure. Recognizing clinical characteristics of low-risk non-HIV-associated CM may enable clinicians to treat non-HIV-associated CM more reasonably. According to the definition of low-risk non-HIV-associated CM in the 2010 Infectious Diseases Society of America guideline, a total of 220 non-HIV CM patients were divided into two groups (Group 1: 35 low-risk patients and Group 2: 185 non-low-risk patients). Clinical characteristics, treatment, and outcome were compared between the two groups. Compared with non-low-risk patients, low-risk patients had a lower rate of headache (82.9% vs. 95.7%, P = .012), cerebrospinal fluid (CSF) opening pressure (OP) at baseline (CSF OP < 250-mm H2O, 60.0% vs. 32.4%, P = .001), and baseline CSF cryptococcal count (median, 0 vs. 2376, P < .001), higher baseline CSF white blood cell (median, 130 vs. 90, P = .029) and CSF protein (median, 0.87 vs. 0.73, P = .011). Multivariate analysis showed that baseline CSF OP <250-mm H2O (OR: 2.545, 95% CI 1.168, 5.545, P = .019) was independently associated with low-risk for non-HIV-associated CM. The lengths of AMB-d-based induction therapy of low-risk patients (median, 20 days) were shorter (P < .001) than that of non-low-risk patients (median, 38 days). The successful outcome rate of low-risk patients was higher than non-low-risk patients (97.1% vs. 54.6%, P < .001). We demonstrated that non-HIV-associated CM patients with baseline CSF OP < 250-mm H2O were prone to the low-risk status.

This was a retrospective cohort study to find the features of low-risk non-human immunodeficiency virus (HIV)-associated cryptococcal meningitis (CM). We found that non-HIV-associated CM patients with baseline cerebrospinal fluid opening pressure <250-mm H2O were prone to low-risk status.

Development and validation of a machine learning model to predict prognosis in HIV-negative cryptococcal meningitis patients: a multicenter study.

PURPOSE: To predict prognosis in HIV-negative cryptococcal meningitis (CM) patients by developing and validating a machine learning (ML) model. METHODS: This study involved 523 HIV-negative CM patients diagnosed between January 1, 1998, and August 31, 2022, by neurologists from 3 tertiary Chinese centers. Prognosis was evaluated at 10 weeks after the initiation of antifungal therapy. RESULTS: The final prediction model for HIV-negative CM patients comprised 8 variables: Cerebrospinal fluid (CSF) cryptococcal count, CSF white blood cell (WBC), altered mental status, hearing impairment, CSF chloride levels, CSF opening pressure (OP), aspartate aminotransferase levels at admission, and decreased rate of CSF cryptococcal count within 2 weeks after admission. The areas under the curve (AUCs) in the internal, temporal, and external validation sets were 0.87 (95% CI 0.794-0.944), 0.92 (95% CI 0.795-1.000), and 0.86 (95% CI 0.744-0.975), respectively. An artificial intelligence (AI) model was trained to detect and count cryptococci, and the mean average precision (mAP) was 0.993. CONCLUSION: A ML model for predicting prognosis in HIV-negative CM patients was built and validated, and the model might provide a reference for personalized treatment of HIV-negative CM patients. The change in the CSF cryptococcal count in the early phase of HIV-negative CM treatment can reflect the prognosis of the disease. In addition, utilizing AI to detect and count CSF cryptococci in HIV-negative CM patients can eliminate the interference of human factors in detecting cryptococci in CSF samples and reduce the workload of the examiner.

The effect of serum uric acid, bilirubin, and albumin levels on antioxidant status in HIV-negative immunocompetent cryptococcal meningitis patients with post-infectious inflammatory response syndrome.

Oxidative imbalances have been observed in various neurological diseases. Despite the microbiological control in cryptococcal meningitis (CM), a proportion of previously healthy patients experience a clinical deterioration known as post-infectious inflammatory response syndrome (PIIRS). However, the antioxidant status in PIIRS remains unclear. In this study, we found that the serum antioxidant status of HIV-negative immunocompetent CM patients during PIIRS episodes was lower than that of healthy controls. There was a relationship between baseline serum indirect bilirubin levels and the development of PIIRS, and serum uric acid levels may indicate the severity of the disease during PIIRS episodes. Oxidative stress may play a role in the development of PIIRS.

This retrospective study on the serum antioxidant status in HIV-negative immunocompetent CM patients suggested that during PIIRS episodes, the serum antioxidant status in CM patients may be lower. CM patients with high baseline serum Ibil levels were more likely to develop PIIRS.