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
Santhosh Kumar Rajamani.
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. Occurrence 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
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
We use cookies and other tracking technologies to work properly, to analyze our website traffic, and to understand where our visitors are coming from. More InfoGot It!
