To estimate the point prevalence of Rifampicin re-sistant tuberculosis in extra pulmonary tuberculosis patients' as detected by CBNAAT in a district hospital and to analyze the data using logistic regression mathematical model

Abstract

The aim of this study was to estimate the point prevalence of Rifampicin resistant Mycobacteria causing tuberculosis of lymph node as detected by cartridge based nucleic acid amplification test (CBNAAT) and analyzed using logistic regression mathematical modeling. An observational cross-sectional study was carried out in the Department of Otorhinolaryngology from July 2019 to February 2020 in a tertiary healthcare setting. Rifampicin resistant Mycobacteria were identified; data tabulated and analyzed to find the point prevalence of Rifampicin resistant tuberculosis. A total of 37 patients who presented to the OPD were included in the study. Confirmation of the tuberculosis was done either by fine needle aspiration cytology (FNAC) or by direct biopsy. Demographic characteristics of the patients were analyzed. A logical regression mathematical model of Rifampicin resistance in the district was created. Correlation matrix was calculated using Jamovi software. of Rifampicin resistance was dependent variable in logistic regression modeling. Levels VA and VB, posterior triangle group lymph nodes were most commonly involved. It was found that there is high prevalence 89.189% (p<0.01) of Rifampicin resistant Mycobacteria. Rifampicin resistance a 2.9672 greater odds per stage higher chance p=0.0291) treatment failure as compared to Rifampicin sensitive patients. Females have higher risk of harbouring Rifampicin Resistant Mycobacteria than males.