Search

Background India plans elimination of HIV-Mother-to-Child-Transmission in 2020. Targets include >95% coverage of Antenatal-care (ANC) and HIV-testing. In 2015-16, while 43% of the estimated Indian pregnant-women (PW) received HIV-tests, one state reported >95% testing. Indian public-health-care is a three-tiered system from primary-level sub-centres (population-5000) to tertiary-level hospitals. ANC involves multiple-visits per pregnancy at different care-levels and data are aggregated in the Health-Management-Information-System (HMIS) at all levels. We validated (public and private-sector data from this state, for duplication in ANC registration and HIV-testing using mixed methods. Methods In the absence of guidelines for assessing aggregate-data duplication, we used mixed-methods, including surveys among 9845 PW and providers from 240 facilities in 10/36 representative districts; in-depth-interviews; case-studies and analysis of HMIS and HIV-program data (April 2015-Mar 2017). Interviews and case-studies highlighted inadvertent duplicate data-capture. Surveys quantified levels of duplication and adjustment factors (public and private-sector) were developed. Results Twenty-four% PW, visited multiple facilities for ANC, while 81% providers reported all the PW coming to their facilities as new ANC registrations (irrespective of lower-tier registration); identifying a minimum duplication of 19% (24%*81%) in ANC coverage. Twenty-nine% and 28% PW from public and private-facilities reported >1 HIV-test; while 75% and 36% reported visiting another public-facility where HIV test was likely to be reported again. Minimum duplication of 22% and 10% in HIV testing was noted in public and private-sectors respectively. Conclusions We report methods to quantify repeat HIV-testing and duplicate-reporting, due to inherent processes in ANC in public-healthcare in India. Modification of data-capture was recommended and adopted across India. Key messages Assessing duplication in aggregate health data is key to developing robust datasets for disease elimination

BACKGROUND Diarrhea in HIV infected individuals is a common complication seen in about 90% of patients in developing countries. The objective of this study was to identify enteric pathogens in HIV infected and HIV uninfected individuals in Pune. METHOD This study was conducted from January 2009 to May 2010 on 331 consecutive patients presenting with diarrhea admitted at Naidu Municipal Corporation Hospital, Pune and processed using conventional methods. RESULTS Intestinal parasitic pathogens were detected in 60% (39/65) of HIV infected and 14.3 (38/266) of HIV uninfected individuals. Bacterial pathogens were detected in 34% (22/65) of HIV infected individuals and 28.2% (75/266) of the HIV uninfected individuals. The common enteric pathogens detected in HIV infected individuals were Cystoisospora belli (28%, 18/65) followed by Cryprotosporidium parvum (12%, 8/65). In HIV uninfected individuals Entamoeba histolytica (7.1%, 19/266) followed by Shigella flexnari (4.9%, 13/266) were the most common pathogens. The difference in detection of enteric parasites in HIV infected individuals and HIV uninfected individuals was found to be significant (p < 0.01). CONCLUSIONS Intestinal parasitic pathogens are more common in HIV infected antiretroviral therapy naive patients. Early detection of enteric pathogens by routine examination of stool samples will help in the management and to improve the quality of life for HIV infected individuals.

Human immunodeficiency virus drug resistance (HIVDR) in cohorts of patients initiating antiretroviral therapy (ART) at clinics in Chennai and Mumbai, India, was assessed following World Health Organization (WHO) guidelines. Twelve months after ART initiation, 75% and 64.6% of participants at the Chennai and Mumbai clinics, respectively, achieved viral load suppression of

Analysis of the human immunodeficiency virus type 1 (HIV-1) cytolytic T lymphocyte (CTL) epitopes recognized by the targeted population is critical for HIV-1 vaccine design. Peripheral blood mononuclear cells from 47 Indian subjects at different stages of HIV-1 infection were tested for HIV-1 Gag-, Nef-, and Env-specific T cell responses by interferon (IFN)- gamma enzyme-linked immunospot (ELISPOT) assay, using pools of overlapping peptides. The Gag and Nef antigens were targeted by 83% and 36% of responders. Five immunodominant regions, 4 in Gag and 1 in Nef, were identified in the study; these regions are conserved across clades, including the African subtype C clade. Three antigenic regions were also found to be recognized by CTLs of the study participants. These regions were not identified as immunodominant regions in studies performed in Africa, which highlights the importance of differential clustering of responses within HIV-1 subtype C. Twenty-six putative epitopes--15 Gag (10 in p24 and 5 in p17), 10 Nef, and 1 Env (gp 41)--were predicted using a combination of peptide matrix ELISPOT assay and CTL epitope-prediction software. Ninety percent of the predicted epitopes were clustered in the conserved immunodominant regions of the Gag and Nef antigens. Of 26 predicted epitopes, 8 were promiscuous, 3 of which were highly conserved across clades. Three Gag and 4 Nef epitopes were novel. The identification of conserved epitopes will be important in the planning of an HIV-1 vaccine strategy for subtype C-affected regions.