INA102 – TUBERCULOSIS RESEARCH OF INA-RESPOND ON DRUG RESISTANCE (TRIPOD)

Tahapan Penelitian : Awal
Sponsor:
Mitra Pelaksana:
INA-RESPOND Network
No Registry
INA-7GNRTO6
Tanggal Input Registry : 28-03-2016

01-08-2016
Reporting the rate of MDR-TB amongst new and retreated TB cases. Proportions of MDR will be estimated, along with exact 95% confidence intervals based on a binomial distribution
Reporting the treatment outcomes (cured, failed, died, treatment completion, and lost to follow up). Proportions of subjects within each category as mentioned below: a. cured: number of subjects who have smear or culture negative in the last month of treatment and on at least one previous occasion. b. failed: number of subjects who have sputum smear or culture is positive at month 5 or later during treatment c. died: number of subjects who died from any cause during treatment d. treatment completion: number of subjects who have completed treatment without evidence of failure but with no records to show that sputum smear or culture negative in the last month of treatment and on at least one previous occasion were negative, either because tests were not done or results are unavailable d. lost to follow up: number of subjects who have did not start treatment or treatment was interrupted for two consecutive months or more. Reporting the protective factors for treatment success. Reporting the protective factors for treatment success (cured or completed treatment vs failed or died or loss to follow up) with logistic regression models will be estimated to describe associations of treatment success with these protective factors. Protective factors below will be collected by interview with the subject and this information will be captured in the medical record: Record the subject's data demographics (age, sex), TB contact history, smoking habit, treatment seeking behavior, co-morbidities (HIV, DM), primary drug resistance, symptoms, no cavity in the lung, nutritional status, treatment regimens, bacteria and TB strains (e.g., Beijing). Logistic regression models will be estimated to describe associations of treatment success with these protective factors. Reporting the risk factors of treatment interruption (loss to follow up vs other treatment outcome). Reporting the risk factors of treatment interruption (loss to follow up vs other subject and this information will be captured in the medical record: the subject's demographics (age, sex), the number of subjects with TB contact history, smoking habit, treatment seeking behavior, co-morbidities (HIV, DM), primary drug resistance, symptoms, cavity in the lung, nutritional status, treatment regimens, compliance, numbers of bacteria and TB strains (e.g., Beijing). Logistic regression models will be estimated to evaluate associations of treatment interruption with these risk factors. Measuring the sensitivity and specificity of AFB and Xpert MTB/RIF relative to culture results. Measuring the sensitivity AFB or Xpert MTB/RIF relative to sputum culture result: Number of subjects who have positive AFB and/or Xpert MTB/Rif result whose culture positive divide with subjects who have positive AFB and/or Xpert MTB/Rif result whose culture positive plus subjects who have negative AFB and/or Xpert MTB/Rif result whose culture positive. Measuring the specificity of AFB or Xpert MTB/RIF relative to sputum culture result: The number subjects with negative AFB and/or Xpert MTB/RIF that are also negative Mtb sputum culture divide with number subjects with negative AFB and/or Xpert MTB/RIF that are also negative Mtb sputum culture plus number subjects with negative AFB and/or Xpert MTB/RIF positive Mtb sputum. Sensitivity and specificity will be estimated along with 97.5% confidence intervals. McNemar's statistic will test whether the sensitivity and specificity differ between AFB and Xpert MTB/RIF. Measuring sensitivity and specificity of Rif susceptibility results in Xpert MTB/RIF against result in DST as gold standard along with 97.5% confidence intervals. Measuring the sensitivity Rif susceptibility results in Xpert MTB/RIF relative to sputum culture result: Number of subjects who have resistant to Rif in Xpert MTB/RIF that are also show resistancy on DST divide subjects who have resistant to Rif in Xpert MTB/RIF that also show resistancy on DST plus subjects with sensitive on Rif in Xpert MTB/RIF whose DST show resistancy 100% relative to sputum culture result: The number of subjects with sensitive of Rif in Xpert MTB/RIF that are also show no resistancy on DST divide subjects who sensitive to Rif in Xpert MTB/RIF that show no resistancy on DST plus subjects with sensitive to Rif in Xpert MTB/RIF whose DST show resistancy.
 
INA102 – TUBERCULOSIS RESEARCH OF INA-RESPOND ON DRUG RESISTANCE (TRIPOD)
RESEARCH TITLE: TUBERCULOSIS RESEARCH OF INA-RESPOND ON DRUG RESISTANCE (TRIPOD), A Multicenter Study of the Indonesia Research Partnership on Infectious Disease (INA-RESPOND)
Observasional
N/A
1357
 

Inclusion Criteria:

- Patients suspected of having pulmonary TB - Cough ≥ 2 weeks - At least one other TB clinical symptom . Fever . Unexplained weight loss . Loss of appetite . Hemoptysis . Shortness of breath . Chest pain . Night sweats . Fatigue - Suggestive TB on chest x-ray based on pulmonologist or internist consultant of pulmonology opinion - Age ≥ 18 years old - Willing to be treated or evaluated at study site - Willing to have specimens stored for use in future studies - Patient denies having TB treatment in the last 2 month

Exclusion Criteria:

Liver or chronic kidney disease or pregnancy or severe psychiatric illness that might interfere with study compliance (based on the clinician judgment. In order to assess subject’s pregnancy status, the attending clinician will ask the subject’s first day of last menstrual period. The final decision about subject’s pregnancy status will be up to the attending clinician.
 
LB.02.01/5.2/KE.435/2014
N/A
N/A
INA102
Dr. dr. Erlina Burhan, M.Sc, Sp.P(K) dan dr. Anis Karuniawati, SpMK, PhD