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Reproducibility of CSF quantitative culture methods for estimating rate of clearance in cryptococcal meningitis.

Dyal, J; Akampurira, A; Rhein, J; Morawski, BM; Kiggundu, R; Nabeta, HW; Musubire, AK; Bahr, NC; Williams, DA; Bicanic, T; et al. Dyal, J; Akampurira, A; Rhein, J; Morawski, BM; Kiggundu, R; Nabeta, HW; Musubire, AK; Bahr, NC; Williams, DA; Bicanic, T; Larsen, RA; Meya, DB; Boulware, DR; ASTRO-CM Trial Team (2016) Reproducibility of CSF quantitative culture methods for estimating rate of clearance in cryptococcal meningitis. Med Mycol, 54 (4). pp. 361-369. ISSN 1460-2709 https://doi.org/10.1093/mmy/myv104
SGUL Authors: Bicanic, Tihana

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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.

Item Type: Article
Additional Information: This is a pre-copyedited, author-produced version of an article accepted for publication in Medical Mycology following peer review. The version of record Jonathan Dyal, Andrew Akampurira, Joshua Rhein, Bozena M Morawski, Reuben Kiggundu, Henry W Nabeta, Abdu K Musubire, Nathan C Bahr, Darlisha A Williams, Tihana Bicanic, Robert A Larsen, David B Meya, David R Boulware, on behalf of the ASTRO-CM Trial Team; Reproducibility of CSF quantitative culture methods for estimating rate of clearance in cryptococcal meningitis, Medical Mycology, Volume 54, Issue 4, 1 May 2016, Pages 361–369 is available online at: https://doi.org/10.1093/mmy/myv104
Keywords: Cryptococcus, HIV/AIDS, accuracy, culture, meningitis, methodology, AIDS-Related Opportunistic Infections, Adult, Antifungal Agents, Cerebrospinal Fluid, Female, Humans, Limit of Detection, Male, Meningitis, Cryptococcal, Mycology, Prospective Studies, Severity of Illness Index, ASTRO-CM Trial Team, Cryptococcus, culture, methodology, HIV/AIDS, accuracy, meningitis, Cryptococcus, HIV/AIDS, accuracy, culture, meningitis, methodology, Microbiology, 1108 Medical Microbiology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Med Mycol
ISSN: 1460-2709
Language: eng
Dates:
DateEvent
May 2016Published
14 January 2016Published Online
19 November 2015Accepted
Projects:
Project IDFunderFunder ID
T32AI055433NIAID NIH HHSUNSPECIFIED
U01 AI089244NIAID NIH HHSUNSPECIFIED
R01 NS086312NINDS NIH HHSUNSPECIFIED
R01NS086312NINDS NIH HHSUNSPECIFIED
U01AI089244NIAID NIH HHSUNSPECIFIED
R25TW009345FIC NIH HHSUNSPECIFIED
T32 AI055433NIAID NIH HHSUNSPECIFIED
R25 TW009345FIC NIH HHSUNSPECIFIED
PubMed ID: 26768372
Web of Science ID: WOS:000374104800003
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/107610
Publisher's version: https://doi.org/10.1093/mmy/myv104

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