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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/51244
Title: Dual Analysis of Loss to Follow-up for Perinatally HIV-Infected Adolescents Receiving Combination Antiretroviral Therapy in Asia
Authors: Adam W. Bartlett
Pagakrong Lumbiganon
Thahira A. Jamal Mohamed
Keswadee Lapphra
Dina Muktiarti
Quy Tuan Du
Rawiwan Hansudewechakul
Penh Sun Ly
Khanh Huu Truong
Lam Van Nguyen
Thanyawee Puthanakit
Tavitiya Sudjaritruk
Kulkanya Chokephaibulkit
Viet Chau Do
Nagalingeswaran Kumarasamy
Nik Khairulddin Nik Yusoff
Nia Kurniati
Moy Siew Fong
Dewi Kumara Wati
Revathy Nallusamy
Annette H. Sohn
Azar Kariminia
VHS Medical Centre India
National Hospital of Pediatrics Hanoi
Universitas Udayana
University of Indonesia, RSUPN Dr. Cipto Mangunkusumo
Chulalongkorn University
Kirby Institute
Faculty of Medicine, Khon Kaen University
Kuala Lumpur Hospital
The HIV Netherlands Australia Thailand Research Collaboration
Faculty of Medicine, Siriraj Hospital, Mahidol University
Chiang Mai University
Children's Hospital 2
National Center for HIV/AIDS
Children's Hospital 1
Hospital Raja Perempuan Zainab II
Foundation for AIDS Research
Chiangrai Prachanukroh Hospital
Hospital Likas
Penang Hospital
Keywords: Medicine
Issue Date: 15-Dec-2019
Citation: Journal of acquired immune deficiency syndromes (1999). Vol.82, No.5 (2019), 431-438
Abstract: BACKGROUND: Perinatally HIV-infected adolescents (PHIVA) are an expanding population vulnerable to loss to follow-up (LTFU). Understanding the epidemiology and factors for LTFU is complicated by varying LTFU definitions. SETTING: Asian regional cohort incorporating 16 pediatric HIV services across 6 countries. METHODS: Data from PHIVA (aged 10-19 years) who received combination antiretroviral therapy 2007-2016 were used to analyze LTFU through (1) an International epidemiology Databases to Evaluate AIDS (IeDEA) method that determined LTFU as >90 days late for an estimated next scheduled appointment without returning to care and (2) the absence of patient-level data for >365 days before the last data transfer from clinic sites. Descriptive analyses and competing-risk survival and regression analyses were used to evaluate LTFU epidemiology and associated factors when analyzed using each method. RESULTS: Of 3509 included PHIVA, 275 (7.8%) met IeDEA and 149 (4.3%) met 365-day absence LTFU criteria. Cumulative incidence of LTFU was 19.9% and 11.8% using IeDEA and 365-day absence criteria, respectively. Risk factors for LTFU across both criteria included the following: age at combination antiretroviral therapy initiation <5 years compared with age ≥5 years, rural clinic settings compared with urban clinic settings, and high viral loads compared with undetectable viral loads. Age 10-14 years compared with age 15-19 years was another risk factor identified using 365-day absence criteria but not IeDEA LTFU criteria. CONCLUSIONS: Between 12% and 20% of PHIVA were determined LTFU with treatment fatigue and rural treatment settings consistent risk factors. Better tracking of adolescents is required to provide a definitive understanding of LTFU and optimize evidence-based models of care.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/51244
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074741775&origin=inward
ISSN: 19447884
Appears in Collections:Scopus 2019

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