Efficacy of Cerebrospinal Fluid Beta-d-Glucan Diagnostic Testing for Fungal Meningitis: a Systematic Review.

Several case reports and cohort studies have examined the use of (1,3)-beta-d-glucan measurement with cerebrospinal fluid to diagnose fungal meningitis. This systematic review aims to characterize the evidence regarding cerebrospinal fluid (1,3)-beta-d-glucan measurement to detect fungal meningitis. We searched PubMed for (1,3)-beta-d-glucan and each of several distinct fungi, cerebrospinal fluid, and meningitis. Summary data including diagnostic performance (where applicable) were recorded. A total of 939 records were examined via a PubMed search. One hundred eighteen records remained after duplicates were removed, and 104 records were excluded, as they did not examine cerebrospinal fluid, included animals, or focused on nonfungal infections. Fourteen studies were included in this systematic review. A variety of fungi, including species of Candida, Aspergillus, Exserohilum, Cryptococcus, Histoplasma, and Coccidioides, were studied, although most were case reports. Diagnostic accuracy was examined in 5 studies. Cerebrospinal fluid (CSF) (1,3)-beta-d-glucan measurement showed >95% sensitivity in the corticosteroid injection-related outbreak of Exserohilum rostratum One study in Histoplasma meningitis found 53% (53/87) sensitivity and 87% (133/153) specificity, while another study of Cryptococcus meningitis found 89% (69/78) sensitivity and 85% (33/39) specificity. CSF (1,3)-beta-d-glucan testing may be useful, primarily as a nonspecific marker of fungal meningitis. Although the FDA black box warning states that Cryptococcus spp. do not make (1,3)-beta-d-glucan, the current evidence shows that (1,3)-beta-d-glucan is detectable in cryptococcal meningitis. Organism-specific testing should be used in conjunction with (1,3)-beta-d-glucan measurement.

Prevalence, healthcare resource utilization and overall burden of fungal meningitis in the United States.

PURPOSE: Previous epidemiological and cost studies of fungal meningitis have largely focused on single pathogens, leading to a poor understanding of the disease in general. We studied the largest and most diverse group of fungal meningitis patients to date, over the longest follow-up period, to examine the broad impact on resource utilization within the United States. METHODOLOGY: The Truven Health Analytics MarketScan database was used to identify patients with a fungal meningitis diagnosis in the United States between 2000 and 2012. Patients with a primary diagnosis of cryptococcal, Coccidioides, Histoplasma, or Candida meningitis were included in the analysis. Data concerning healthcare resource utilization, prevalence and length of stay were collected for up to 5 years following the original diagnosis. RESULTS: Cryptococcal meningitis was the most prevalent type of fungal meningitis (70.1 % of cases over the duration of the study), followed by coccidioidomycosis (16.4 %), histoplasmosis (6.0 %) and candidiasis (7.6 %). Cryptococcal meningitis and candidiasis patients accrued the largest average charges ($103 236 and $103 803, respectively) and spent the most time in the hospital on average (70.6 and 79 days). Coccidioidomycosis and histoplasmosis patients also accrued substantial charges and time in the hospital ($82 439, 48.1 days; $78 609, 49.8 days, respectively). CONCLUSION: Our study characterizes the largest longitudinal cohort of fungal meningitis in the United States. Importantly, the health economic impact and long-term morbidity from these infections are quantified and reviewed. The healthcare resource utilization of fungal meningitis patients in the United States is substantial.