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PLoS ONE 2011

Factors associated with anti-tuberculosis medication adverse effects: a case-control study in Lima, Peru.

Rakstu tulkošanu var veikt tikai reģistrēti lietotāji
Ielogoties Reģistrēties
Saite tiek saglabāta starpliktuvē
Kocfa Chung-Delgado
Alejandro Revilla-Montag
Sonia Guillen-Bravo
Eduardo Velez-Segovia
Andrea Soria-Montoya
Alexandra Nuñez-Garbin
Wilmer Silva-Caso
Antonio Bernabe-Ortiz

Atslēgvārdi

Abstrakts

BACKGROUND

Long-term exposure to anti-tuberculosis medication increases risk of adverse drug reactions and toxicity. The objective of this investigation was to determine factors associated with anti-tuberculosis adverse drug reactions in Lima, Peru, with special emphasis on MDR-TB medication, HIV infection, diabetes, age and tobacco use.

RESULTS

A case-control study was performed using information from Peruvian TB Programme. A case was defined as having reported an anti-TB adverse drug reaction during 2005-2010 with appropriate notification on clinical records. Controls were defined as not having reported a side effect, receiving anti-TB therapy during the same time that the case had appeared. Crude, and age- and sex-adjusted models were calculated using odds ratios (OR) and 95% confidence intervals (95%CI). A multivariable model was created to look for independent factors associated with side effect from anti-TB therapy. A total of 720 patients (144 cases and 576 controls) were analyzed. In our multivariable model, age, especially those over 40 years (OR = 3.93; 95%CI: 1.65-9.35), overweight/obesity (OR = 2.13; 95%CI: 1.17-3.89), anemia (OR = 2.10; IC95%: 1.13-3.92), MDR-TB medication (OR = 11.1; 95%CI: 6.29-19.6), and smoking (OR = 2.00; 95%CI: 1.03-3.87) were independently associated with adverse drug reactions.

CONCLUSIONS

Old age, anemia, MDR-TB medication, overweight/obesity status, and smoking history are independent risk factors associated with anti-tuberculosis adverse drug reactions. Patients with these risk factors should be monitored during the anti-TB therapy. A comprehensive clinical history and additional medical exams, including hematocrit and HIV-ELISA, might be useful to identify these patients.

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