Objective: To describe growth evolution and its correlates in the first 5 years of antiretroviral therapy (ART) initiation among HIV-infected children followed up in West Africa.
Methods: All HIV-infected children younger than 10 years followed in the IeDEA pWADA cohort while initiating ART, with at least one anthropometric measurement within the first 5 years of treatment were included in the study. Growth was described according to the WHO child growth standards, using Weight-for-age Z-score (WAZ), Height-for-age Z-score (HAZ) and Weight-for-Height/BMI-for-age Z-score (WHZ/BAZ). Growth evolution and its correlates, measured at ART initiation, were modelled in individual linear mixed models for each anthropometric indicator, with a spline term added at the 12-, 24- and 9-month time point for WAZ, HAZ and WHZ/BAZ, respectively.
Results: Among the 4156 children selected (45% girls, median age at ART initiation 3.9 years [IQR interquartile range 1.9-6.6], and overall 68% malnourished at ART initiation), important gains were observed in the first 12, 24 and 9 months on ART for WAZ, HAZ and WHZ/BAZ, respectively. Correlates at ART initiation of a better growth evolution overtime were early age (<2 years of age), severe immunodeficiency for age, and severity of malnutrition.
Conclusions: Growth evolution is particularly strong within the first 2 years on ART but slows down after this period. Weight and height gains help to recover from pre-ART growth deficiency but are insufficient for the most severely malnourished. The first year on ART could be the best period for nutritional interventions to optimize growth among HIV-infected children in the long-term.
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http://dx.doi.org/10.1111/tmi.13237 | DOI Listing |
J Antimicrob Chemother
January 2025
Research Laboratory, Botswana Harvard Health Partnership, Gaborone, Botswana.
Objectives: We assessed HIV-1 drug resistance profiles among people living with HIV (PLWH) with detectable viral load (VL) and on dolutegravir-based antiretroviral therapy (ART) in Botswana.
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Front Plant Sci
December 2024
School of Astronautics, Beihang University, Beijing, China.
Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their performance is heavily influenced by the quality of pseudo labels.
View Article and Find Full Text PDFHuman genetic variants can affect TB and HIV drug metabolism, which may lead to toxicity or treatment failure. We evaluated associations between genetic variants of antiretroviral therapy (ART) and HIV-1 outcomes among TB/HIV patients. We included RePORT-Brazil participants with TB/HIV who initiated standard TB treatment [2 months of isoniazid/rifampicin (or rifabutin)/pyrazinamide/ethambutol, then 4 months or more of isoniazid/rifampicin (or rifabutin)], and ART.
View Article and Find Full Text PDFSci Rep
January 2025
College of Art and Design, Sichuan Tourism University, No.459, Hongling Road, Longquanyi District, Chengdu City, 610100, Sichuan Province, China.
The Maisotsenko cycle-based coolers have gained increasing attention in recent years due to their advantages of low energy consumption and environmental friendliness. Optimizing the model structure and operating conditions is the primary approach for enhancing the cooling performance of dew-point evaporation systems. In this paper, a novel mathematical model of the perforated dew-point evaporative cooler was developed to investigate its cooling performance.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
School of Biomedical Engineering, Anhui Medical University, Hefei, China.
Synonymous mutations, once considered neutral, are now understood to have significant implications for a variety of diseases, particularly cancer. It is indispensable to identify these driver synonymous mutations in human cancers, yet current methods are constrained by data limitations. In this study, we initially investigate the impact of sequence-based features, including DNA shape, physicochemical properties and one-hot encoding of nucleotides, and deep learning-derived features from pre-trained chemical molecule language models based on BERT.
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