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Lao X, Zhang H, Yan L, Zhao H, Zhao Q, Lu H, Chen Y, Li H, Chen J, Ye F, Yu F, Xiao Q, Li Q, Liang X, Yang X, Yan C, Zhang F. Thirteen-year viral suppression and immunologic recovery of LPV/r-based regimens in pediatric HIV treatment: a multicenter cohort study in resource-constrained settings of China. Front Med (Lausanne) 2023; 10:1313734. [PMID: 38188331 PMCID: PMC10771832 DOI: 10.3389/fmed.2023.1313734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Background Antiretroviral Therapy (ART) in children remains challenging due to resource-constrained settings. We conducted a 13-year, prospective, multicenter cohort study on the effectiveness and safety of LPV/r-based regimens in ART-naive and ART-experienced children. Methods From January 2008 to May 2021, children living with HIV-1 were recruited with LPV/r-based regimens from 8 clinical research sites in 6 provinces in China. Effectiveness outcomes were virologic failure (defined as at least two consecutive measurements of VL > 200 copies/mL after 6 months of ART) and immune response (defined as CD4% recovered to more than 25% after 12 months of treatment). The safety outcomes were treatment-related grade 2-4 adverse events and abnormal laboratory test results. Results A total of 345 ART-naïve children and 113 ART-experienced children were included in this cohort study. The median follow-up time was 7.3 (IQR 5.5-10.5) years. The incidence density of virologic failure was 4.1 (95% CI 3.3-4.9) per 100 person-years in ART-naïve children and 5.0 (95% CI 3.5-6.5) per 100 person-years in ART-experienced children. Kaplan Meyer (KM) curve analysis showed children with ART experience were at a higher risk of virologic failure (p < 0.05). The risk factors of virologic failure in ART-naïve children were clinic setting in rural hospitals (aHR = 2.251, 1.108-4.575), annual missed dose times >5 days of LPV intake (aHR = 1.889, 1.004-3.554); The risk factor of virologic failure in ART-experienced children was missed dose times >5 days (aHR = 2.689, 1.299-5.604) and mother as caregivers for ART administration (aHR = 0.475, 0.238-0.948). However, during long-term treatment, viral suppression rates between ART-naïve and ART-experienced children remained similar. No significant differences were observed in the immune response, treatment-related grade 2-4 events, and abnormal laboratory test results between ART-naïve children and ART-experienced children. Conclusion Our research underscores that with consistent, long-term treatment of LPV/r-based regimens, ART-experienced children can achieve therapeutic outcomes comparable to ART-naïve children. It provides crucial insights on LPV/r-based regimens in pediatric HIV treatment, especially in resource-limited settings where high-cost Integrase Strand Transfer Inhibitors (INSTs) are inaccessible. This evidence-based understanding provides an essential addition to the global therapeutic strategies for pediatric HIV treatment.
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Affiliation(s)
- Xiaojie Lao
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hanxi Zhang
- WHO Collaborating Centre for Comprehensive Management of HIV Treatment and Care, Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Liting Yan
- Department of Infectious Disease, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongxin Zhao
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qingxia Zhao
- Department of Infectious Disease, The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Hongyan Lu
- Department of Infectious Disease, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China
| | - Yuewu Chen
- Department of Infectious Disease, Shangcai Center for Disease Control and Prevention of Henan Province, Shangcai, China
| | - Huiqin Li
- AIDS Care Center, Yunnan Provincial Hospital of Infectious Disease, Kunming, China
| | - Jinfeng Chen
- Center for Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Fuxiu Ye
- Department of Infectious Disease, The Second People's Hospital of Yining, Xinjiang, China
| | - Fengting Yu
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qing Xiao
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Li
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xuelei Liang
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xiaojie Yang
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Chang Yan
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Fujie Zhang
- Department of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
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Optimizing Pediatric Dosing Recommendations and Treatment Management of Antiretroviral Drugs Using Therapeutic Drug Monitoring Data in Children Living With HIV. Ther Drug Monit 2020; 41:431-443. [PMID: 31008997 PMCID: PMC6636807 DOI: 10.1097/ftd.0000000000000637] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Supplemental Digital Content is Available in the Text. Introduction: This review summarizes the current dosing recommendations for antiretroviral (ARV) drugs in the international pediatric guidelines of the World Health Organization (WHO), US Department of Health and Human Services (DHHS), and Pediatric European Network for Treatment of AIDS (PENTA), and evaluates the research that informed these approaches. We further explore the role of data generated through therapeutic drug monitoring in optimizing the dosing of ARVs in children. Methods: A PubMed search was conducted for the literature on ARV dosing published in English. In addition, the registration documentation of European Medicines Agency and the US Food and Drug Administration for currently used ARVs and studies referenced by the WHO, DHHS, and EMA guidelines were screened. Resulting publications were screened for papers containing data on the area under the concentration–time curve, trough concentration, and peak concentration. Studies with enrolled participants with a median or mean age of ≥18 years were excluded. No restriction on publishing date was applied. Discussion and conclusion: Pediatric ARV dosing is frequently based on data obtained from small studies and is often simplified to facilitate dosing in the context of a public health approach. Pharmacokinetic parameters of pediatric ARVs are subject to high interpatient variation and this leads to a potential risk of underdosing or overdosing when drugs are used in real life. To ensure optimal use of ARVs and validate dosing recommendations for children, it is essential to monitor ARV dosing more thoroughly with larger sample sizes and to include diverse subpopulations. Therapeutic drug monitoring data generated in children, where available and affordable, have the potential to enhance our understanding of the appropriateness of simplified pediatric dosing strategies recommended using a public health approach and to uncover suboptimal dosing or other unanticipated issues postmarketing, further facilitating the ultimate goal of optimizing pediatric ARV treatment.
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Abstract
Observational data characterizing the pediatric and adolescent HIV epidemics in real-world settings are critical to informing clinical guidelines, governmental HIV programs, and donor prioritization. Global expertise in curating and analyzing these data has been expanding, with increasingly robust collaborations and the identification of gaps in existing surveillance capacity. In this commentary, we describe existing sources of observational data for children and youth living with HIV, focusing on larger regional and global research cohorts, and targeted surveillance studies and programs. Observational data are valuable resources to cross-validate other research and to monitor the impact of changing HIV program policies. Observational studies were among the first to highlight the growing population of children surviving perinatal HIV and transitioning to adolescence and young adulthood, and have raised serious concerns about high rates of treatment failure, loss to follow-up, and death among older perinatally infected youth. The use of observational data to inform modeling of the current global epidemic, predict future patterns of the youth cascade, and facilitate antiretroviral forecasting are critical priorities and key end products of observational HIV research. Greater investments into data infrastructure are needed at the local level to improve data quality and at the global level to faciliate reliable interpretation of the evolving patterns of the pediatric and youth epidemics. Although this includes harmonized data forms, use of unique patient identifiers to allow for data linkages across routine data sets and electronic medical record systems, and competent data managers and analysts are essential to make optimal use of the data collected.
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Moolasart V, Chottanapund S, Ausavapipit J, Likanonsakul S, Uttayamakul S, Changsom D, Lerdsamran H, Puthavathana P. The Effect of Detectable HIV Viral Load among HIV-Infected Children during Antiretroviral Treatment: A Cross-Sectional Study. CHILDREN-BASEL 2018; 5:children5010006. [PMID: 29301267 PMCID: PMC5789288 DOI: 10.3390/children5010006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 12/20/2017] [Accepted: 12/27/2017] [Indexed: 11/24/2022]
Abstract
The RNA viral load of human immunodeficiency virus (HIV) is initially used to determine the status of the HIV infection. The goal of therapy following treatment failure is to achieve and maintain virologic suppression. A detectable viral load may relate to the progression of HIV infection. A cross-sectional survey was conducted from January 2013 to December 2014 at the Bamrasnaradura Infectious Diseases Institute, Thailand. The aim was to determine the prevalence of detectable HIV viral load (dVL) and analyze the factors associated with post-dVL conditions that occur independently of a switch to a new antiretroviral agent. The prevalence of dVL was 27% (27 of 101). The mean ages of dVL and non-dVL children were 12.0 and 12.3 years, respectively. Age, sex, body mass index for age z-scores, previous tuberculosis disease history and parental tuberculosis history of both groups were not significantly different (p > 0.05). The prevalence of poor adherence (<95%), influenza-like illness (ILI) and opportunistic infections were higher in dVL than non-dVL children (p < 0.05). The mean nadir CD4 cell count during the study was lower in dVL than non-dVL children (646 compared to 867, respectively; p < 0.05). Other factors were not significant (all p > 0.05). In multivariable analysis, dVL was significantly associated with ILI (odds ratio (OR) = 9.6, 95% confidence interval (CI) = 1.3–69.4), adherence (OR = 0.195, 95% CI = 0.047–0.811) and nadir CD4 during the study (OR = 1.102, 95% CI = 1.100–1.305). The prevalence of dVL was 27% with this dVL among HIV-infected children found to be associated with ILI, poor adherence and lower nadir CD4 during the study.
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Affiliation(s)
- Visal Moolasart
- Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, 11000 Nonthaburi, Thailand.
| | - Suthat Chottanapund
- Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, 11000 Nonthaburi, Thailand.
| | - Jarurnsook Ausavapipit
- Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, 11000 Nonthaburi, Thailand.
| | - Sirirat Likanonsakul
- Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, 11000 Nonthaburi, Thailand.
| | - Sumonmal Uttayamakul
- Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, 11000 Nonthaburi, Thailand.
| | - Don Changsom
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 10700 Bangkok, Thailand.
| | - Hatairat Lerdsamran
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 10700 Bangkok, Thailand.
| | - Pilaipan Puthavathana
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 10700 Bangkok, Thailand.
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