A secondary data analysis of qualitative study of individualized treatment regimen for North Indians living with human immunodeficiency virus-1

Abstract

The follow-up of fifty-seven patients were conducted after a confirmation genotyping test. The secondary data analysis was done on the data available to observe the correlation between the CD4 counts and viral loads (One of the markers of clinical outcome) of the individual North Indian patients infected with HIV-1 Subtype C. The drug resistance mutations in individual patient were analysed through the drug resistance database, Stanford University, USA. The data of resistance associated with drugs, CD4 counts, viral loads of the individual patient was compiled and statistically analysed for drug resistance pattern profiles using Microsoft Excel 2016 and SPSS Version 22. The normality of data was checked by Shapiro-Wilk test (p<0.05). The study starting and endpoint data on CD4 counts, viral loads and drug resistance patterns associated with multiple first-line ART was available for 24 north Indian patients. The starting and study endpoint data on CD4 counts and drug resistance patterns associated with multiple first- line ART was available for 33 North Indian patients. The study indicative that the recommendation of policy to provide a tailor-made individualized regimen to each patient under AIDS control program.