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Optimization of cutoff values for (1→3)-β-d-glucan and galactomannan assays in cerebrospinal fluid for the diagnosis of non-cryptococcal fungal infections of the central nervous system

半乳甘露聚糖 脑脊液 隐球菌病 微生物学 新生隐球菌 葡聚糖 中枢神经系统 医学 曲菌病 病理 生物 免疫学 内科学 生物化学
作者
Arghadip Samaddar,Gregory R Kowald,Jenevi Margaret Mendonsa,Nagarathna Chandrashekar,Veena Kumari Haradara Bahubali
出处
期刊:Medical Mycology [Oxford University Press]
卷期号:63 (4) 被引量:1
标识
DOI:10.1093/mmy/myaf037
摘要

Abstract Fungal infections of the central nervous system (FI-CNS) pose substantial diagnostic challenges, owing to their diverse clinical presentations and the limited sensitivity of conventional diagnostic tests. Although serum (1→3)-β-d-glucan (BDG) and galactomannan (GM) assays are FDA-approved for the diagnosis of invasive fungal infections (IFIs), their effectiveness in cerebrospinal fluid (CSF) remains underexplored, and optimal cutoff values in CSF are not well established. This study aimed to assess the utility of BDG and GM assays in CSF for diagnosing non-cryptococcal FI-CNS. We conducted a prospective observational study at the National Institute of Mental Health and Neuro Sciences in India from January 2022 to December 2023, including CSF samples from patients suspected of fungal meningitis. The cases were categorized as proven, probable, or possible FI-CNS based on the revised EORTC/MSGERC criteria. Among 61 suspected cases, 2 were proven, 48 were probable, and 11 were possible FI-CNS. The control group included 23 patients without FI-CNS suspicion. BDG and GM testing in CSF followed manufacturers’ guidelines for serum. At the manufacturer’s recommended cutoff of 80 pg/ml, sensitivity of BDG was 94% and specificity was 78.3%. For GM, using the manufacturer’s recommended cutoff of 0.5 optical density index (ODI), sensitivity was 42% and specificity was 100%. Receiver operating characteristic curve analysis indicated optimal cutoffs of 72 pg/ml for BDG (sensitivity 96%, specificity 78.3%) and 0.47 ODI for GM (sensitivity 44%, specificity 100%). Combining both biomarkers increased sensitivity to 97.8%, suggesting that combined BDG and GM testing in CSF could significantly enhance the diagnostic accuracy and management of FI-CNS.

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