| Literature DB >> 26768372 |
Jonathan Dyal1, Andrew Akampurira2, Joshua Rhein1, Bozena M Morawski3, Reuben Kiggundu4, Henry W Nabeta4, Abdu K Musubire5, Nathan C Bahr3, Darlisha A Williams1, Tihana Bicanic6, Robert A Larsen7, David B Meya5, David R Boulware8.
Abstract
Quantitative cerebrospinal fluid (CSF) cultures provide a measure of disease severity in cryptococcal meningitis. The fungal clearance rate by quantitative cultures has become a primary endpoint for phase II clinical trials. This study determined the inter-assay accuracy of three different quantitative culture methodologies. Among 91 participants with meningitis symptoms in Kampala, Uganda, during August-November 2013, 305 CSF samples were prospectively collected from patients at multiple time points during treatment. Samples were simultaneously cultured by three methods: (1) St. George's 100 mcl input volume of CSF with five 1:10 serial dilutions, (2) AIDS Clinical Trials Group (ACTG) method using 1000, 100, 10 mcl input volumes, and two 1:100 dilutions with 100 and 10 mcl input volume per dilution on seven agar plates; and (3) 10 mcl calibrated loop of undiluted and 1:100 diluted CSF (loop). Quantitative culture values did not statistically differ between St. George-ACTG methods (P= .09) but did for St. George-10 mcl loop (P< .001). Repeated measures pairwise correlation between any of the methods was high (r≥0.88). For detecting sterility, the ACTG-method had the highest negative predictive value of 97% (91% St. George, 60% loop), but the ACTG-method had occasional (∼10%) difficulties in quantification due to colony clumping. For CSF clearance rate, St. George-ACTG methods did not differ overall (mean -0.05 ± 0.07 log10CFU/ml/day;P= .14) on a group level; however, individual-level clearance varied. The St. George and ACTG quantitative CSF culture methods produced comparable but not identical results. Quantitative cultures can inform treatment management strategies.Entities:
Keywords: Cryptococcus; HIV/AIDS; accuracy; culture; meningitis; methodology
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Year: 2016 PMID: 26768372 PMCID: PMC4834857 DOI: 10.1093/mmy/myv104
Source DB: PubMed Journal: Med Mycol ISSN: 1369-3786 Impact factor: 4.076