Literature DB >> 9363535

Risk factors for the development of non-response to first-line treatment for tuberculosis in southern Vietnam.

V P Keane1, N de Klerk, T Krieng, G Hammond, A W Musk.   

Abstract

BACKGROUND: Acquired resistance to standard chemotherapy for tuberculosis (TB) is an increasing problem worldwide. Vietnam has one of the highest incidences of TB and also has a large population of potential migrants to other countries. Since 1979 the International Organisation for Migration (IOM) has been running a supervised programme of TB treatment for intending migrants from Vietnam where few facilities for bacteriological culture and sensitivity testing exist. This study aimed to assess the most important factors for predicting non-response to first-line treatment as treatment starts and whether any further indicators occur during the course of treatment which may enable more accurate prediction of non-response.
METHODS: In all, 130 subjects failing to respond to first-line therapy (cases) between 1990 and 1995 were compared with 673 subjects who responded to therapy (controls) on various demographic and clinical characteristics using logistic regression to create a prognostic index. Variables analysed included the patient history of past TB treatment, weight, age, sex and radiological and bacteriological findings. All subjects also tested negative for HIV status.
RESULTS: The chief markers of successful response were x-ray signs and degree of sputum smear positivity. These markers provided a prognostic index with an optimal cutoff providing about 70% sensitivity and 80% specificity. Incorporating further measures obtained through the first 3 months of treatment improved the sensitivity to 80%.
CONCLUSION: While this study enabled prediction of the majority of subjects failing to respond to first-line therapy, other factors need to be assessed before recommendations for altering treatment regimens can be made. The prognostic index could be useful in assessing subjects for closer supervision.

Entities:  

Keywords:  Asia; Biology; Comparative Studies; Demographic Factors; Developing Countries; Diseases; Drugs; Examinations And Diagnoses; Infections; Migrants; Migration; Population; Population Dynamics; Research Methodology; Research Report; Risk Factors; Southeastern Asia; Studies; Treatment; Tuberculosis--prevention and control; Viet Nam

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Substances:

Year:  1997        PMID: 9363535     DOI: 10.1093/ije/26.5.1115

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  6 in total

1.  Predictors of treatment failure among pulmonary tuberculosis patients in Mulago hospital, Uganda.

Authors:  E Namukwaya; F N Nakwagala; F Mulekya; H Mayanja-Kizza; R Mugerwa
Journal:  Afr Health Sci       Date:  2011-08       Impact factor: 0.927

2.  Element contents and food safety of water spinach (Ipomoea aquatica Forssk.) cultivated with wastewater in Hanoi, Vietnam.

Authors:  Helle Marcussen; Karin Joergensen; Peter E Holm; Daniela Brocca; Robert W Simmons; Anders Dalsgaard
Journal:  Environ Monit Assess       Date:  2007-06-26       Impact factor: 2.513

3.  Radiological signs associated with pulmonary multi-drug resistant tuberculosis: an analysis of published evidences.

Authors:  Yì Xiáng J Wáng; Myung Jin Chung; Aliaksandr Skrahin; Alex Rosenthal; Andrei Gabrielian; Michael Tartakovsky
Journal:  Quant Imaging Med Surg       Date:  2018-03

Review 4.  Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults.

Authors:  Lauren S Peetluk; Felipe M Ridolfi; Peter F Rebeiro; Dandan Liu; Valeria C Rolla; Timothy R Sterling
Journal:  BMJ Open       Date:  2021-03-02       Impact factor: 2.692

5.  Prediction score for antimony treatment failure in patients with ulcerative leishmaniasis lesions.

Authors:  Cristian Valencia; Jorge Arévalo; Jean Claude Dujardin; Alejandro Llanos-Cuentas; François Chappuis; Mirko Zimic
Journal:  PLoS Negl Trop Dis       Date:  2012-06-12

6.  Feature selection and prediction of treatment failure in tuberculosis.

Authors:  Christopher Martin Sauer; David Sasson; Kenneth E Paik; Ned McCague; Leo Anthony Celi; Iván Sánchez Fernández; Ben M W Illigens
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

  6 in total

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