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Second Line Drugs Susceptibility Testing: Study Progress Report Alex Sloutsky Massachusetts State TB Laboratory Paris, 2005 BACKGROUND: Clinical significance of DST • It is common among clinicians to assume that if culture is resistant to a particular drug in vitro, this drug will be ineffective in vivo. • In reality, prognostic value of pretreatment DST can vary greatly depending on patient-specific factors: - proportion of resistant bacteria - whether resistance is acquired or primary • Clinical significance of susceptibility testing becomes an issue due to spread of MDR TB. Resiissstaannsensitivity • DST reports list drugs as either “sensitive” or “resistant” which indicates that there are two widely different phenotypes. • In reality, resistant strains exhibit a continuum of phenotypes, some of which may be very similar to sensitive, wild-type strains. • The task of the laboratory is to classify the level of resistance of a strain of M. tuberculosis in relation to the established “resistance criteria” to a specific drug. • These “breakpoints” determine clinically significant level of resistance to a drug, i.e. high enough to affect the efficacy of treatment if the patient is treated with that drug Study Design: MSLI Lab • Well-defined representative samples of clinical isolates of M. tuberculosis: – PR strains have been obtained from patients who failed treatment with the regimens containing the corresponding drug; – Probably susceptible (PS) strains: from patients who have never taken anti-TB drugs (unless infected with drug resistant organisms). • Source of strains: KIT (Korea), Philippines (TDF), Latvia, Hong Kong, Boston (PIH collection). Total planned:250 strains. • MIC to 6 drugs are to be determined: ETH, PAS, KAN, CAP, CYC, OFL by two methods: Agar Plate Proportions and BACTEC. • 8 concentrations of each drug used to determine the MIC breakpoint. WORKLOAD AND WORKFLOW: Agar Plate Proportions Method Determination of Critical Concentrations on agar medium Weekly workload Preparation of the four-quadrant plates 108 plates with drug dilutions: 3 plates per each strain per one drug (4,500 plates total) Preparation of 2nd line drug dilutions (6 drugs, 8 concentrations each): Time to complete 4 hours 48 dilutions 1 hour Growing cultures, inoculum preparation 6 strains 2 hours Inoculation of the 7H10 agar plates including labeling 108 plates 2 hours Reading plates and recording results 108 plates 5 hours Total time allotted per week is 14 hours WORKLOAD AND WORKFLOW: BACTEC Determination of Critical Concentrations in BACTEC Weekly workload Time to complete Preparation of BACTEC vials with serial drug dilutions including labeling 288 vials 4 hours Inoculum preparation, inoculate drugcontaining BACTEC vials plus controls; 294 vials 4 hours Five daily BACTEC runs, 1.5 h each, using 2 instruments; includes Sat; (6 hours per day) 294 vials x 6 days =1,764 36 hours Total number required is: 250 strains x 6 drugs x 8 concentrations plus controls = 13,500 vials; Recording BACTEC results 2 hours Total time allotted per week for BACTEC is 46 hours BUDGET A. Personnel Time allotted Salary Contractor 1 11 hours per week @ $35.50/hour $20,306 Contractor 2 12 hours per week @ $22.50/hour $14,040 NEW, Bacteriologist I 37.5 h/week @ $19.50/hour $38,025 TOTAL for personnel B. Laboratory Supplies Bactec Supplies Bactec 12B Medium (for 13,750* vials @ $2.27 each) 7H10 agar plates for CC determination (4,500* plates @ $4 ea.) General supplies $72,371 $72,371 Cost $3,000 $31,212 $18,000 $3,000 Total for supplies Travel & administrative TOTAL $4,000 $55,212 $4,000 $131,583 PROJECTED DURATION AND CURRENT STATUS OF THE PROJECT Total time per week for 6 strains tested by both methods is 60 hours. It was anticipated that it would take 250/6 = 42 weeks to completion (with no repeat testing and no data analysis). Personnel hired and trained Supplies purchased Forms for recording results created Up to date: 272 cultures tested by APP method (< 10 to be repeated) and 40 tested by BACTEC. ~230 cultures to go will take ~40 weeks or 10 months DATABASE Preliminary Data Analysis CONC 1 2 3 4 5 6 7 8 CYC 99.3% 90.8% 29.8% 1.1% 0.4% 0.4% 0.0% 0.0% CAP 97.1% 75.4% 41.5% 29.8% 25.0% 19.1% 15.1% 5.9% ETH 57.7% 55.9% 49.3% 43.0% 39.0% 37.1% 31.3% 28.3% KAN 83.8% 61.8% 46.7% 39.0% 32.7% 29.8% 26.8% 26.1% OFX 88.6% 39.0% 24.6% 22.4% 20.6% 15.8% 12.5% 9.6% PAS 54.0% 44.9% 38.2% 28.3% 22.1% 21.0% 19.1% 18.0% 100.0% 80.0% CYC 60.0% CAP 40.0% ETH KAN 20.0% OFX 0.0% 1 OFX 2 3 4 ETH 5 6 7 CYC 8 PAS