Identification of Predictors (Risk Factors) of Multidrug-Resistant Tuberculosis (MDR-TB) in Amravati region using Logistic Regression Analysis

Multidrug-resistant tuberculosis (MDR-TB) is a global public health threat and burden on the health system.Facilities for its diagnosis and treatment are limited in many high burden countries, including India. This study is aimed to determine predictors (risk factors) associated with MDR-TB among the new and old TB patients from Amravati region toprovide future guidance. A cross-sectional study is conducted on all new and old TB patients registered under DOTS in Amravati region from May 2012 to December 2019. Complete information, of 402 patients which included treatmentdetail and other relevant clinical data is used in this study. Binary logistic regression analysis is employed to determine t he predictors (risk factors) for MDR-TB. The significant predictors for MDR-TB found are ‘Number of t ime TB treatmentt aken in p ast ’, ‘Posit ive follow-up of at least 4 months treatment or Relapse/defaulter from previous DOTS, and MDR-cont act , HIV p osit ive, irre gul ar TB p at ient s , CBNAT det ect ed TB p at ient , Whereas f act or ‘number o f past outcomestype’ did not p redict MDR-TB. The study shows that the MDR contact and CBNAT test results are the strongest predictorof MDR-TB. These factors among newly diagnosed TB patients should be taken as an alarm for the screening of MDR-TB. Mantel Haenszel approach is also discussed in the study.