Literature DB >> 19421681

Thai drug-resistant tuberculosis predictive scores.

V Boonsarngsuk1, K Tansirichaiya, S Kiatboonsri.   

Abstract

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.

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Year:  2009        PMID: 19421681

Source DB:  PubMed          Journal:  Singapore Med J        ISSN: 0037-5675            Impact factor:   1.858


  3 in total

1.  Clinical prediction rule for stratifying risk of pulmonary multidrug-resistant tuberculosis.

Authors:  Dalila Martínez; Gustavo Heudebert; Carlos Seas; German Henostroza; Martin Rodriguez; Carlos Zamudio; Robert M Centor; Cesar Herrera; Eduardo Gotuzzo; Carlos Estrada
Journal:  PLoS One       Date:  2010-08-11       Impact factor: 3.240

2.  Effect of mycobacterial drug resistance patterns on patients' survival: a cohort study in Thailand.

Authors:  Amornrat Anuwatnonthakate; Sara J Whitehead; Jay K Varma; Udomsak Silachamroon; Yuthichai Kasetjaroen; Saiyud Moolphate; Pranom Limsomboon; Jiraphun Inyaphong; Narin Suriyon; Suporn Kavinum; Navarat Chiengson; Phatchara Tunteerapat; Jaranit Kaewkungwal
Journal:  Glob J Health Sci       Date:  2013-08-22

3.  Rationing tests for drug-resistant tuberculosis - who are we prepared to miss?

Authors:  Laura J Martin; Martha H Roper; Louis Grandjean; Robert H Gilman; Jorge Coronel; Luz Caviedes; Jon S Friedland; David A J Moore
Journal:  BMC Med       Date:  2016-03-23       Impact factor: 8.775

  3 in total

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