{"title":"Retrospective link of altered mental status and cryptococcal meningitis.","authors":"Punithkumar Naraganahalli Krishnaraj, Chandavi Venkatesh, Dhanu Anneyplar Shivakumar, Nagalambika Prasad, Guru Kumar Dugganaboyana, Kumar Jajur Ramanna","doi":"10.1016/bs.irn.2025.04.003","DOIUrl":null,"url":null,"abstract":"<p><p>Cryptococcal meningitis (CM) is a severe central nervous system infection primarily affecting immunocompromised patients, significantly contributing to global morbidity and mortality. This chapter explores the link between altered mental status (AMS) and CM, focusing on pathophysiological mechanisms and clinical correlations. Cryptococcus neoformans invades the central nervous system, evading immune defenses and causing increased intracranial pressure, inflammation, and neuronal damage. AMS, a frequent early symptom in CM, signals neurological involvement and disease severity, ranging from subtle cognitive issues to severe deficits. Retrospective studies highlight AMS as a prognostic marker, often associated with worse outcomes. Diagnostic challenges are discussed, emphasizing early recognition for timely intervention. Advances in artificial intelligence and machine learning are proposed to enhance diagnostic accuracy, prognosis, and management of CM. The chapter also covers antifungal therapies and supportive interventions to mitigate AMS-related complications. Future research directions include AI-driven diagnostics and novel treatments to improve outcomes in CM and its neurological manifestations.</p>","PeriodicalId":94058,"journal":{"name":"International review of neurobiology","volume":"180 ","pages":"435-472"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International review of neurobiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/bs.irn.2025.04.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/16 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cryptococcal meningitis (CM) is a severe central nervous system infection primarily affecting immunocompromised patients, significantly contributing to global morbidity and mortality. This chapter explores the link between altered mental status (AMS) and CM, focusing on pathophysiological mechanisms and clinical correlations. Cryptococcus neoformans invades the central nervous system, evading immune defenses and causing increased intracranial pressure, inflammation, and neuronal damage. AMS, a frequent early symptom in CM, signals neurological involvement and disease severity, ranging from subtle cognitive issues to severe deficits. Retrospective studies highlight AMS as a prognostic marker, often associated with worse outcomes. Diagnostic challenges are discussed, emphasizing early recognition for timely intervention. Advances in artificial intelligence and machine learning are proposed to enhance diagnostic accuracy, prognosis, and management of CM. The chapter also covers antifungal therapies and supportive interventions to mitigate AMS-related complications. Future research directions include AI-driven diagnostics and novel treatments to improve outcomes in CM and its neurological manifestations.