Attrition and Treatment Outcomes among Perinatally and Behaviourally HIV-infected Adolescents and Youths in Thai National AIDS program

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Attrition and Treatment Outcomes among Perinatally and Behaviourally HIV-infected Adolescents and Youths in Thai National AIDS program Sirinya Teeraananchai 1,2, Thanyawee Puthanakit 1,3,4, Suchada Chaivooth 5, Sasisopin Kiertiburanakul 6, Kulkanya Chokephaibulkit 7, Stephen J Kerr 1,2, Sorakij Bhakeecheep 5, Achara Teeraratkul 8, Matthew G Law 2, Kiat Ruxrungtham 1,9 1 HIV-NAT, Thai Red Cross AIDS Research Centre, Bangkok, Thailand 2 Kirby Institute, University of New South Wales, Sydney, Australia 3 Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand 4 Research Unit in Pediatric Infectious Diseases and Vaccines, Chulalongkorn University, Bangkok, Thailand 5The HIV/AIDS, Tuberculosis and Infectious Diseases Program, National Health Security Office (NHSO), Thailand 6 Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand 7 Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand 8Thailand MOPH - U.S. CDC Collaboration, Nonthaburi, Thailand 9 Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

No conflicts of interest

Background: Thai National AIDS program (NAP) National Access to ARV Treatment for PLHIV (NAPHA) (Pilot program) Universal Coverage National AIDS program (NAP) managed by National Health Security Office (NHSO) PMTCT National Program 2000 06 07 08 09 10 11 12 13 14 Start ART at CD4<200 Start ART at CD4<350 Start ART at any CD4 3

Background: Thai HIV-infected adolescents and youths starting ART Number of patients 3000 2500 2000 1500 1000 500 0 BIY2, age 20-24 yrs BIY1, age 15-20 yrs PIY, age 10-14 yrs 2007 2008 2009 2010 2011 2012 2013 2014 Year of ART initiation Source: NHSO database 2014 These groups consists of children who were acquired HIV by perinatally transmission (PIY age 10 14 years) behaviourally transmission (BIY1 age 15-19 years, BIY2 age 20-24 years) 4

Objectives To describe attrition and treatment outcomes among behaviourally HIV-infected youths (BIY1, BIY2) and perinatally HIV-infected young adolescents (PIY) who initiated antiretroviral treatment (ART) through the National AIDS Program (NAP) 5

Methods: Study population NHSO database of whom linkage to the National Death Registry Patients initiated ART at age 10-24 years from 2008-2013 ART defined as at least 3 drugs, including NNRTI or PI, and 2-3 NRTIs Baseline was defined at the date of ART initiation *Ethics approval was obtained from the Institute for Development of Human Research Protection, Ministry of Public Health, Thailand 6

Methods: Study Outcomes Mortality confirmed death linkages with the National Death Registry Loss to follow-up (LTFU) - not having of 2 consecutive CD4 tests during follow-up, irrespective of whether or not patients later returned to NAP Treatment failure at the 1 st year of ART is a composite endpoint o For patients who had VL tested 1) Virological failure (VF) was defined as a VL 1,000 copies/ml o And patients who did not have VL tested 2) LTFU / death during the first year of treatment 3) Switching major regimen from NNRTI to PI or vice versa 7

Methods: Statistical analysis Cox regression model were used to assess predictors of mortality Covariates including gender, baseline age, baseline CD4 counts, First regimen, year of ART initiation, regions and loss to follow-up LTFU Covariates including gender, baseline age, baseline CD4 counts, First regimen, year of ART initiation and regions Logistic regression model were used to assess predictors of treatment failure at the 1 st years of ART initiation Covariates including gender, baseline age, baseline CD4 counts, First regimen, year and regions 8

Results: Baseline Characteristics Characteristics (N=11,954) Median (IQR) Age, yrs PIY 10-14 years n = 2,045 BIY1 15-19 years n = 3,118 BIY2 20-24 years n = 6,791 12 (11-14) 18 (17-19) 22 (21-23) Female 1,194 (58%) 2,159 (69%) 3,155 (46%) Regimens NNRTI based ART 1,908 (93%) 1,850 (59%) 5,282 (78%) PIs based ART 137 (7%) 1,268 (41%) 1,509 (22%) Median (IQR) CD4 count, cells/mm 3 154 (39-307) n = 1,417 (69%) 241 (74-412) n = 2,088 (67%) 172 (45-303) n = 4,222 (62%) Median (IQR) duration on ART, yrs 4 (2-6) 2 (1-3) 2 (1-4) 9

Results: Study outcomes PIY BIY1 BIY2 Characteristics 10-14 years 15-19 years 20-24 years (N=11,954) n = 2,045 n = 3,118 n = 6,791 Person years 8,096 7,140 17,345 Mortality N (%) of death 206 (10%) 223 (7%) 504 (7%) Mortality rate per 100 PY, (95% CI) Median (IQR) CD4 count at death LTFU 2.5 (2.2-2.9) 3.1 (2.7-3.6) 2.9 (2.7-3.2) 31 (12-119) 41 (18-129) 43 (12-141) N (%) of LTFU 224 (11%) 871 (28%) 1,459 (21%) LTFU rate per 100 PY, (95% CI) 2.9 (2.4-3.3) 13.9 (12.9-14.8) 9.5 (9.0-9.9) 10

Figure 1 probability of LTFU after ART initiation by baseline age groups BIY1, 28% (26-30)% BIY2, 21% (20-22)% PIY, 6% (5-7)% 11

Results: Factors associated with Mortality Characteristics (N=11,954) N of death n = 933 Multivariate ahr (95% CI) p Year of ART initiation 2008 218 ref 0.01 2009 187 0.88 (0.72-1.07) 2010 193 0.98 (0.80-1.21) 2011 156 0.89 (0.72-1.12) 2012 107 0.72 (0.56-0.92) 2013 72 0.67 (0.51-0.90) First regimen NNRTI based ART 872 ref <0.01 PI based ART 61 0.53 (0.40-0.70) Baseline CD4 counts,cells/mm3 < 200 517 ref <0.01 200-350 66 0.36 (0.28-0.47) 350 16 0.11 (0.07-0.19) unknown 334 0.68 (0.59-0.79) Loss to follow-up 154 3.17 (2.32-4.34) <0.01 12

Results: Factors associated with LTFU Characteristics (N=11,954) N of LTFU Multivariate n = 2,554 ahr (95% CI) p Female 1,851 1.47 (1.32-1.62) <0.01 Age at ART initiation PIY age 10-14 years 224 ref <0.01 BIY1 age 15-19 years 871 2.95 (2.52-3.45) BIY2 age 20-24 years 1,459 2.72 (2.35-3.16) First regimen <0.01 NNRTI based ART 1,433 ref PI based ART 1,121 2.42 (2.17-2.70) Baseline CD4 counts,cells/mm 3 < 200 531 ref <0.01 200-350 374 1.39 (1.22-1.60) 350 611 1.99 (1.74-2.27) unknown 1,038 1.49 (1.33-1.66) 13

Figure 2 Proportion of composite endpoint by baseline age groups 100% Proportion of composite endpoint (%) 80% 60% 40% 20% 0% 29% 4% 4% 5% 21% 14% 9% Proportion of VF, only if VL tested, n = 7,160 PIY- 22% vs BIY1-18% vs BIY2-12% 26 % 16% 36 % 4% 29 % 5% 15% 9% 7% ALL PIY 10-14 yrs BIY1 15-19 yrs BIY2 20-24 yrs (N =11,954) VF LTFU Death Switching ART regimen 14

Results: Factors associated with Treatment failure** ** Composite endpoint VF, LTFU /death / switching major ART regimen Characteristics N=11,954 Failure n = 3,616 Multivariate aor (95% CI) p Female 2370 1.34 (1.22-1.48) <0.01 Age at ART initiation PIY age 10-14 years 532 ref <0.01 BIY1 age 15-19 years 1130 1.45 (1.26-1.66) BIY2 age 20-24 years 1954 1.22 (1.08-1.38) First regimen NNRTI based ART 2316 ref <0.01 PI based ART 1300 2.28 (2.02-2.58) Baseline CD4 counts < 200 1161 1.42 (1.25-1.63) <0.01 200-350 470 ref 350 640 1.21 (1.03-1.41) unknown 1345 1.31 (1.15-1.49) 15

Discussion (1) Mortality rate in BIY 15 24 years was 2.8 vs (range: 0.8 13.5) per 100 PY LTFU rate in BIY 15 24 years was 8.7 vs (range: 7.0 30.1) per 100 PY (Nigeria, Uganda, Côte d Ivoire, Swaziland, Mozambique, Zambia, and Tanzania) 1 The rate of LTFU among BIY 15 24-year-olds was more than double than that found among PIY 10 14-year-olds after ART initiation, whereas mortality was similar among all age groups PIY 10-14 years BIY1 15-19 years BIY2 20-24 years Study Mortality rate /100 PY 2.5 vs 3.6 / 4.1 3.1 vs 5.4 / 4.4 2.9 vs 6.6 / 5.4 Zimbabwe 2 / South Africa 3 LTFU rate /100 PY 2.9 vs 4.2 / 6.1 13.9 vs 10.9 / 23.3 9.5 vs 16.8 / 17.6 Zimbabwe 2 / South Africa 3 LTFU at 2 yrs 6% vs 18.5% 28% vs 30% 21% vs 38% Kenya 4 1 Auld AF, et al (2014), 2 Bygrave H, et al. (2012), 3 Evans D, et al. (2013), 4 Koech E, et al. (2014) 16

Discussion (2) Strengths Evaluating outcomes based on a practical healthcare setting Linkage to National death registry enabled us to accurately estimate mortality and LTFU rates Limitations Information of pregnant females through PMTCT program are limited Missing VL or CD4 results might affect the results of the treatment outcomes No information on information behavioural factors available 17

Conclusions No difference in mortality rates between PIY, BIY1 and BIY2 (range: 2.5 3.1 per 100 PY) BIY1 aged 15-19 years had the highest risk of LTFU This influenced the composite endpoint of treatment failure There is still a need for health policies to specifically address the needs of HIV-infected youths, such as providing access to adolescent-friendly clinics 18

Acknowledgments National Health Security Office (NHSO), Thailand Ministry of Public Health (MOPH), Thailand The HIV Netherlands Australia Thailand Research Collaboration (HIV-NAT), The Thai Red Cross AIDS Research Centre (TRCRC) 19