Thai drug-resistant tuberculosis predictive scores

Introduction: This study aimed to determine the prevalence and risk factors of drug-resistant tuberculosis (TB), and to develop a diagnostic algorithm for newly-diagnosed TB patients. Methods: This is a retrospective medical chart review of 290 patients who were diagnosed with bacteriological-proven...

Full description

Saved in:
Bibliographic Details
Main Authors: Viboon Boonsarngsuk, K. Tansirichaiya, S. Kiatboonsri
Other Authors: Mahidol University
Format: Article
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/28121
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.28121
record_format dspace
spelling th-mahidol.281212018-09-13T14:02:45Z Thai drug-resistant tuberculosis predictive scores Viboon Boonsarngsuk K. Tansirichaiya S. Kiatboonsri Mahidol University Medicine Introduction: This study aimed to determine the prevalence and risk factors of drug-resistant tuberculosis (TB), and to develop a diagnostic algorithm for newly-diagnosed TB patients. Methods: This is a retrospective medical chart review of 290 patients who were diagnosed with bacteriological-proven pulmonary TB between 2000 and 2006 in Ramathibodi Hospital, Thailand. Patient characteristics, radiological and microbiological findings, as well as a history of previous TB disease and treatment, were included in the analysis of predictive factors of drug resistance. Predictive scores were derived from statistically significant factors at the cut-off point of the receiver-operating curve that yielded the best area under the curve. Results: The resistance rate to each of these drugs among 290 patients was: isoniazid, 6.9 percent; rifampicin, 4.5 percent ; either isoniazid or rifampicin, 9.0 percent; and multidrug resistance, 2.4 percent. Far advanced TB was an independent risk factor for isoniazid resistance. Rifampicin resistance was associated with recurrent TB within six months after the completion of treatment and prior incomplete TB treatment. A drug-resistant TB predictive score of either isoniazid or rifampicin resistance was developed based on the aforementioned factors. The cut-off score of greater than or equal to 3 yielded the least error of classification in differentiating patients with the resistant strain from those with the susceptible strain at a sensitivity of 57.7 percent, a specificity of 67.8 percent, a positive predictive value of 15 percent and a negative predictive value of 94.2 percent. Conclusion: Our study suggested a drug-resistant TB predictive score for the exclusion of either isoniazid or rifampicin resistance, and provides a decisional guide for the clinician on whether to send a patient's respiratory specimen for sputum culture and drug susceptibility testing. 2018-09-13T07:02:45Z 2018-09-13T07:02:45Z 2009-04-01 Article Singapore Medical Journal. Vol.50, No.4 (2009), 378-384 00375675 2-s2.0-65949093310 https://repository.li.mahidol.ac.th/handle/123456789/28121 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=65949093310&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Viboon Boonsarngsuk
K. Tansirichaiya
S. Kiatboonsri
Thai drug-resistant tuberculosis predictive scores
description Introduction: This study aimed to determine the prevalence and risk factors of drug-resistant tuberculosis (TB), and to develop a diagnostic algorithm for newly-diagnosed TB patients. Methods: This is a retrospective medical chart review of 290 patients who were diagnosed with bacteriological-proven pulmonary TB between 2000 and 2006 in Ramathibodi Hospital, Thailand. Patient characteristics, radiological and microbiological findings, as well as a history of previous TB disease and treatment, were included in the analysis of predictive factors of drug resistance. Predictive scores were derived from statistically significant factors at the cut-off point of the receiver-operating curve that yielded the best area under the curve. Results: The resistance rate to each of these drugs among 290 patients was: isoniazid, 6.9 percent; rifampicin, 4.5 percent ; either isoniazid or rifampicin, 9.0 percent; and multidrug resistance, 2.4 percent. Far advanced TB was an independent risk factor for isoniazid resistance. Rifampicin resistance was associated with recurrent TB within six months after the completion of treatment and prior incomplete TB treatment. A drug-resistant TB predictive score of either isoniazid or rifampicin resistance was developed based on the aforementioned factors. The cut-off score of greater than or equal to 3 yielded the least error of classification in differentiating patients with the resistant strain from those with the susceptible strain at a sensitivity of 57.7 percent, a specificity of 67.8 percent, a positive predictive value of 15 percent and a negative predictive value of 94.2 percent. Conclusion: Our study suggested a drug-resistant TB predictive score for the exclusion of either isoniazid or rifampicin resistance, and provides a decisional guide for the clinician on whether to send a patient's respiratory specimen for sputum culture and drug susceptibility testing.
author2 Mahidol University
author_facet Mahidol University
Viboon Boonsarngsuk
K. Tansirichaiya
S. Kiatboonsri
format Article
author Viboon Boonsarngsuk
K. Tansirichaiya
S. Kiatboonsri
author_sort Viboon Boonsarngsuk
title Thai drug-resistant tuberculosis predictive scores
title_short Thai drug-resistant tuberculosis predictive scores
title_full Thai drug-resistant tuberculosis predictive scores
title_fullStr Thai drug-resistant tuberculosis predictive scores
title_full_unstemmed Thai drug-resistant tuberculosis predictive scores
title_sort thai drug-resistant tuberculosis predictive scores
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/28121
_version_ 1763495714084618240