Background: WHO recommends retesting of HIV-positive patients before starting antiretroviral therapy (ART). There is no evidence on implementation of retesting guidelines from programmatic settings. We aimed to assess implementation of HIV retesting among clients diagnosed HIV-positive in the public health facilities of Harare, Zimbabwe, in June 2017.
Methods: This cohort study involved analysis of secondary data collected routinely by the programme.
Results: Of 1729 study participants, 639 (37%) were retested. Misdiagnosis of HIV was found in six (1%) of the patients retested-all were infants retested with DNA-PCR. There was no HIV misdiagnosis among adults. Among those retested, 95% were retested on the same day and two-thirds were tested by a different provider as per national guidelines. Among those retested and found positive, 95% were started on ART, while none of those with negative retest results were started on ART. Of those not retested, about half (51%) were started on ART. The median (IQR) time to ART initiation from diagnosis was 0 (0-1) d.
Conclusion: The implementation of HIV-retesting policy in Harare was poor. While most HIV retest positives were started on ART, only half non-retested received ART. Future research is needed to understand the reasons for non-retesting and non-initiation of ART among those not retested.
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http://dx.doi.org/10.1093/trstmh/trz047 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.
Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification. We introduce a Multi-view High-order Network (MHNet) to capture hierarchical and high-order features from multi-view BFNs derived from rs-fMRI data for NDD prediction.
View Article and Find Full Text PDFJ Int Assoc Provid AIDS Care
January 2025
Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
We evaluated a couple-based intervention targeting human immunodeficiency virus (HIV) care needs of women, with the option to support HIV-related needs of male partners. Adult women with HIV adherence difficulties in a monogamous relationship with a male partner for ≥6 months were recruited in KwaZulu-Natal, South Africa. Twenty couples were randomized (1:1) to either START Together, a five-session manualized behavioral intervention, or treatment as usual, adherence counseling referral.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
School of Computer Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei, 230027, China.
Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Mechanical Engineering, University of Siegen, Paul-Bonatz-Straße 9-11, 57076 Siegen, Germany.
This work leverages ultrasonic guided waves (UGWs) to detect and localize damage in structures using lightweight Artificial Intelligence (AI) models. It investigates the use of machine learning (ML) to train the effects of the damage on UGWs to the model. To reduce the number of trainable parameters, a physical signal processing approach is applied to the raw data before passing the data to the model.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Nursing, Southwest Medical University, Luzhou, 646000, China.
Background: Achieving viral suppression through effective treatment adherence is critical for adolescents with HIV; however, the role of treatment adherence self-efficacy-an individual's confidence in their ability to consistently follow antiretroviral therapy (ART) regimens-remains under-explored among Chinese adolescents. This gap is particularly concerning given the United Nations' "95-95-95" targets to end the AIDS epidemic by 2030.
Objective: The aim of this study is to investigate the treatment adherence self-efficacy levels of Yi ethnic adolescents with HIV in a county in Liangshan Prefecture, and to explore the association between self-acceptance, emotion regulation, and treatment adherence self-efficacy.
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