Evaluation of Performance of Algorithms Using Serial Hepatitis C RNA Tests to Predict Treatment Initiation and Sustained Virologic Response Among Patients Infected With Hepatitis C.

Evaluation of Performance of Algorithms Using Serial Hepatitis C RNA Tests to Predict Treatment Initiation and Sustained Virologic Response Among Patients Infected With Hepatitis C. Am J Epidemiol. 2018 Dec 07;: Authors: Osinubi A, Harris AM, Vellozzi C, Lom J, Miller L, Millman AJ Abstract Electronic medical record data structure prevents easy population-level monitoring of hepatitis C virus (HCV) treatment uptake and cure. Using an HCV registry from a public hospital system in Atlanta, Georgia, we developed multiple algorithms using serial HCV RNA test results as proxy measures for direct acting antiviral (DAA) treatment initiation and sustained virologic response (SVR). We calculated sensitivity and positive predictive values by comparing the algorithms to the DAA initiation and SVR results from the registry. From December 2013 - August 2016, 1,807 persons actively infected with HCV were identified in the registry. Of those, 698 initiated DAA treatment based on medical record abstraction; of 442 patients with treatment start and/or end dates, 314 had documented SVR. Treatment algorithm 2 (detectable HCV RNA result followed by 2 sequential HCV RNA tests results) and treatment algorithm 5 (detectable HCV RNA result followed by 2 sequential HCV RNA tests results > 6 weeks apart) had the highest sensitivity (87% and 85% respectively) and positive predictive value (80% and 82% respectively) combinations. Four SVR algorithms relied o...
Source: Am J Epidemiol - Category: Epidemiology Authors: Tags: Am J Epidemiol Source Type: research