time to sputum culture conversion identifying independent
play

Time to Sputum Culture Conversion, identifying independent - PowerPoint PPT Presentation

SOA07-1073-25 Time to Sputum Culture Conversion, identifying independent modifiable risk factors Nikhil Gupte, PhD Union 2018 Background and Rationale Time to sputum culture conversion is widely used surrogate marker in early phase


  1. SOA07-1073-25 Time to Sputum Culture Conversion, identifying independent modifiable risk factors Nikhil Gupte, PhD Union 2018

  2. Background and Rationale • Time to sputum culture conversion is widely used surrogate marker in early phase clinical trials • Delayed sputum culture conversion may be associated with poor TB treatment outcome • Time to sputum culture conversion, associated risk factors among drug sensitive pulmonary tuberculosis (PTB) have not been adequately documented • Clinical, socio-demographic and phyco-social characteristics that may influence time to sputum culture conversion may be helpful • Characterizing factors associated with delayed time to sputum culture may help targeting risk groups to optimize favourable TB treatment outcome.

  3. Methods • 330 Adults (≥ 18 years), drug sensitive PTB patients from Pune and Chennai – CTRIUMPh Study sites • Sputum culture on Lowenstein-Jensen medium was done at entry, and weeks: 2, 4, 8, 16, 24 and 72. • Socio-demographic, behavioural and clinical data was collected at baseline and follow-up visits using structured case report forms • Time (in days) to first negative sputum culture, from AKT start date, was calculated • Kaplan-Meier product limit estimator was used to estimate the time to sputum culture conversion • Cox Proportional hazards models were used to identify independent and overlapping risk factors

  4. Selected baseline characteristics & K-M Curve Baseline N Baseline N Time to LJ Sputum Culture Negative n = 330 n = 330 Characteristics Characteristics 1.00 Age Group AUDIT < 25 71 (22%) < 8 209 (63%) Proportion Culture Positive 25 – 40 109 (33%) > 8 121 (37%) 0.75 40 – 50 80 (24%) DM No DM 108 (37%) > 50 70 (21%) Gender Pre DM 73 (25%) Male 222 (67%) DM 110 (38%) 0.50 Female 108 (33%) Smear Baseline BMI Negative 87 (27%) Normal 109 (34%) Positive 240 (73%) 0.25 Underweight 198 (61%) Cavitation Overweight 18 (6%) No 144 (52%) Residence Yes 133 (48%) Rural 176 (53%) HIV 0.00 Urban 154 (47%) Uninfected 319 (97%) Smoking Infected 11 (3%) 0 50 100 150 200 Follow-up time (Days) Never 189 (62%) TB Treatment Number at risk Current 47 (15%) Daily 1 (0.3) 330 135 33 24 0 Former 71 (23%) Thrice Weekly 328 (99.7%) Smokeless tobacco Time to culture conversion No 85 (26%) Yes 238 (74%) Median (IQR): 35 (32 – 43)

  5. Exploratory & Univariable Analysis Baseline Median ꝉ log-rank p- uHR (95% CI) p-value Baseline Median ꝉ log-rank p- uHR (95% CI) p-value (IQR) value Characteristics (IQR) value Characteristics Smoking Age Group Never 32 (16 – 62) < 0.001 Ref Ref < 25 29 (16 – 57) 0.004 Ref Current 55 (31 – 64) 0.63 (0.45 – 0.89) 0.01 25 – 40 33 (24 – 63) 0.68 (0.50 – 0.93) 0.02 Former 62 (68 – 31) 0.58 (0.43 – 0.77) < 0.001 40 – 50 36 (29 – 65) 0.62 (0.44 – 0.87) 0.01 Smokeless tobacco > 50 58 (30 – 64) 0.57 (0.40 – 0.80) 0.001 No 31 (16 – 59) 0.04 Ref - Gender Yes 46 (29 – 64) 1.30 (1.00 – 1.68) 0.05 Male 39 (29 – 64) 0.002 Ref - AUDIT Female 31 (16 – 62) 1.44 (1.13 – 1.83) 0.003 < 8 21 (17 – 62) < 0.001 Ref - BMI > 8 58 (31 – 71) 0.57 (0.45 – 0.73) < 0.001 Normal 34 (21 – 64) 0.05 Ref - DM Underweight 37 (27 – 64) 0.88 (0.69 – 1.13) 0.32 No DM 31 (17 – 58) 0.04 Ref - Overweight 31 (17 – 60) 1.56 (0.94 – 2.59) 0.08 Pre DM 35 (16 – 64) 0.73 (0.53 – 1.01) 0.06 DM 39 (29 – 64) 0.72 (0.55 – 0.96) 0.02 Residence Smear Baseline Rural 61 (32 – 65) < 0.001 Ref - Negative 29 (16 – 39) < 0.001 Ref - Urban 27 (15 – 51) 1.85 (1.47 – 2.33) < 0.001 Positive 55 (29 – 64) 0.53 (0.41 – 0.68) < 0.001 Anaemia Cavitation No 32 (21 – 60) 0.001 Ref - No 32 (21 – 62) 0.03 Ref - Yes 42 (27 – 64) 0.66 (0.51 – 0.85) 0.002 Yes 51 (30 – 64) 0.77 (0.60 – 0.98) 0.04 Findings: Older age, Males, Rural residence, Anaemia, Smoker, Alcohol dependence, Diabetes, AFB Positive & Cavitation were at an increased risk of delayed sputum culture conversion

  6. Al Alcoho hol us use di disorde der, ana naemia & smear r po positi tivity ty are in indep epen enden ently ly as assoc ocia iated ed wit ith hig igh ris isk of of dela elayed ed cult lture e co conversion

  7. Rural residence, smear positive and high AUDIT score are affected most! N F RHR 62 53 .58 Audit > 8 Audit Positive 69 65 .92 < 8 Smear Rural Negative 32 31 1.27 Urban 11-17 14 9 .48 Anemia BMI 17-26 11 10 1.72 Anemia Smoker No Anemia 13 12 2.22 Smoking Urban 90 87 1.71 Non-Smoker

  8. Differences in overlapping factors by gender Anaemia in rural females increases risk Rural, alcoholic males at increased risk N F RHR N F RHR 8-10 15 11 .36 7-10 21 19 .52 Audit > 8 HB Rural HB 10-18 39 35 .74 10-14 30 29 .97 Positive Audit Urban 3-12 14 13 .80 < 8 HB 7-11 14 14 .96 12-15 12 12 1.62 26-65 HB Rural Smear 11-14 11 11 2.87 Negative 23 22 1.50 Urban age Urban 18-25 20 20 2.58 Urban 83 74 1.46

  9. Smoking & Alcohol dependence among males is independently associated with time to sputum culture conversion Females Males

  10. Conclusions • Smoking and alcohol consumption increased the risk of longer time to sputum culture conversion by approximately 40% • Male gender, alcohol and smoking, young age and rural residence were associated with longer time to culture conversion, thus are transmitting longer, more likely to have unfavourable outcomes • Anaemia among AFB smear positive women in rural areas may be associated with longer time to culture conversion

  11. Thank You • CTRIUMPh Study teams • Study participant & their families

Recommend


More recommend