BACKGROUND: The identification and management of first-line antiretroviral therapy (ART) failure is a key challenge for HIV programs in resource-limited settings. In 2008, the National AIDS Control Organisation, India piloted a national strategy to provide second-line ART. We assessed the National AIDS Control Organisation second-line ART evaluation algorithm. METHODS: Adult patients who had received 6 months or more of standard first-line ART were referred for second-line ART evaluation if they demonstrated CD4 decline to pre-ART values, CD4 drop to less than 50% of peak on-treatment value, failure to achieve CD4 greater than 100 c/mm(3), or development of a new World Health Organization Stage 3 or 4 AIDS-defining illness. Patients received HIV RNA testing, and those with HIV RNA 10,000 c/mL or greater qualified to switch to second-line ART. World Health Organization-defined clinical and CD4 criteria for ART failure were compared against virologic failure criteria. RESULTS: Between January and June 2008, 154 patients met criteria for evaluation. Of 122 (79%) patients who had HIV RNA testing, 87 (71%) had viral load 10,000 c/mL or greater and were recommended to start second-line ART, 29 (24%) had viral load less than 400 c/mL, and six (5%) had viral load between 400 and 10,000 c/mL. The positive predictive value of World Health Organization clinical/immunologic criteria to detect virologic failure was 71% (95% confidence interval, 63% to 79%). CONCLUSIONS: Second-line ART was initiated in the public sector in India using an approach combining clinical and immunologic evaluation with confirmation of virologic failure. Almost 25% of patients who met clinical/immunologic failure criteria demonstrated virologic suppression. Inclusion of targeted HIV RNA testing in the evaluation of treatment failure can prevent unnecessary switches to second-line ART.
BACKGROUND: The identification and management of first-line antiretroviral therapy (ART) failure is a key challenge for HIV programs in resource-limited settings. In 2008, the National AIDS Control Organisation, India piloted a national strategy to provide second-line ART. We assessed the National AIDS Control Organisation second-line ART evaluation algorithm. METHODS: Adult patients who had received 6 months or more of standard first-line ART were referred for second-line ART evaluation if they demonstrated CD4 decline to pre-ART values, CD4 drop to less than 50% of peak on-treatment value, failure to achieve CD4 greater than 100 c/mm(3), or development of a new World Health Organization Stage 3 or 4 AIDS-defining illness. Patients received HIV RNA testing, and those with HIV RNA 10,000 c/mL or greater qualified to switch to second-line ART. World Health Organization-defined clinical and CD4 criteria for ART failure were compared against virologic failure criteria. RESULTS: Between January and June 2008, 154 patients met criteria for evaluation. Of 122 (79%) patients who had HIV RNA testing, 87 (71%) had viral load 10,000 c/mL or greater and were recommended to start second-line ART, 29 (24%) had viral load less than 400 c/mL, and six (5%) had viral load between 400 and 10,000 c/mL. The positive predictive value of World Health Organization clinical/immunologic criteria to detect virologic failure was 71% (95% confidence interval, 63% to 79%). CONCLUSIONS: Second-line ART was initiated in the public sector in India using an approach combining clinical and immunologic evaluation with confirmation of virologic failure. Almost 25% of patients who met clinical/immunologic failure criteria demonstrated virologic suppression. Inclusion of targeted HIV RNA testing in the evaluation of treatment failure can prevent unnecessary switches to second-line ART.
Authors: S E Rutstein; C E Golin; S B Wheeler; D Kamwendo; M C Hosseinipour; M Weinberger; W C Miller; A K Biddle; A Soko; M Mkandawire; R Mwenda; A Sarr; S Gupta; R Mataya Journal: AIDS Care Date: 2015-08-17
Authors: Mary-Ann Davies; Andrew Boulle; Karl Technau; Brian Eley; Harry Moultrie; Helena Rabie; Daniela Garone; Janet Giddy; Robin Wood; Matthias Egger; Olivia Keiser Journal: Trop Med Int Health Date: 2012-09-14 Impact factor: 2.622
Authors: Nicole K Le; Emilia Riggi; Gaetano Marrone; Tam Van Vu; Ricardo O Izurieta; Chuc Kim Thi Nguyen; Mattias Larsson; Cuong Duy Do Journal: PLoS One Date: 2017-09-06 Impact factor: 3.240