ArticleBMC infectious diseases2021
Establishment of a novel scoring model for mortality risk prediction in HIV-infected patients with cryptococcal meningitis.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Transverse Comparison of Clinical Characteristics and Prognostic Factors in HIV-Infected Patients with Cytomegalovirus Encephalitis in Guangdong, China.Current HIV research · 2026Article
- Association Between the Systemic Immune-Inflammation Index and 24-week Outcomes in Patients with HIV-Associated Cryptococcal Meningitis: Secondary Analysis of a Prospective Multicenter Cohort Study.Journal of inflammation research · 2025Article
- Molecular Diagnostics ofDiseases (Basel, Switzerland) · 2024Review
- The effect of machine learning algorithms in the prediction, and diagnosis of meningitis: A systematic review.Health science reports · 2024Review
- Disseminated Cryptococcosis Is a Common Finding among Human Immunodeficiency Virus-Infected Patients with Suspected Sepsis and Is Associated with Higher Mortality Rates.Journal of fungi (Basel, Switzerland) · 2023Article
- Development and Validation of a Nomograph Model for Post-Operative Central Nervous System Infection after Craniocerebral Surgery.Diagnostics (Basel, Switzerland) · 2023Article
- High socioeconomic status is associated with stroke severity among stroke patients in the National Brain Centre Hospital, Jakarta, Indonesia.Preventive medicine reports · 2023Article
- Divergent neuroimmune signatures in the cerebrospinal fluid predict differential gender-specific survival among patients with HIV-associated cryptococcal meningitis.Frontiers in immunology · 2023Article
- Therapeutic Lumbar Punctures in Human Immunodeficiency Virus-Associated Cryptococcal Meningitis: Should Opening Pressure Direct Management?Open forum infectious diseases · 2022Article
- Clinical Characteristics and Risk Factors for Mortality in Cryptococcal Meningitis: Evidence From a Cohort Study.Frontiers in neurology · 2022Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundCryptococcal meningitis (CM) remains a leading cause of death in HIV-infected patients, despite advances in CM diagnostic and therapeutic strategies. This study was performed with the aim to develop and validate a novel scoring model to predict mortality risk in HIV-infected patients with CM (HIV/CM).
methodsData on HIV/CM inpatients were obtained from a Multicenter Cohort study in China. Independent risk factors associated with mortality were identified based on data from 2013 to 2017, and a novel scoring model for mortality risk prediction was established. The bootstrapping statistical method was used for internal validation. External validation was performed using data from 2018 to 2020.
resultsWe found that six predictors, including age, stiff neck, impaired consciousness, intracranial pressure, CD4
conclusionsOur developed scoring model of six variables is simple, convenient, and accurate for screening high-risk patients with HIV/CM, which may be a useful tool for physicians to assess prognosis in HIV/CM inpatients.
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