Literature DB >> 34520443

Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV.

Pamela M Murnane1,2, James Ayieko3, Eric Vittinghoff1, Monica Gandhi4, Chaplain Katumbi5, Beteniko Milala6, Catherine Nakaye7, Peter Kanda8, Dhayendre Moodley9, Mandisa E Nyati10, Amy J Loftis11, Mary G Fowler12, Pat Flynn13, Judith S Currier14, Craig R Cohen2,15.   

Abstract

BACKGROUND: Adherence to antiretroviral treatment (ART) among postpartum women with HIV is essential for optimal health and prevention of perinatal transmission. However, suboptimal adherence with subsequent viremia is common, and adherence challenges are often underreported. We aimed to predict viremia to facilitate targeted adherence support in sub-Saharan Africa during this critical period.
METHODS: Data are from PROMISE 1077BF/FF, which enrolled perinatal women between 2011 and 2014. This analysis includes postpartum women receiving ART per study randomization or country-specific criteria to continue from pregnancy. We aimed to predict viremia (single and confirmed events) after 3 months on ART at >50, >400, and >1000 copies/mL within 6-month intervals through 24 months. We built models with routine clinical and demographic data using the least absolute shrinkage and selection operator and SuperLearner (which incorporates multiple algorithms).
RESULTS: Among 1321 women included, the median age was 26 years and 96% were in WHO stage 1. Between 0 and 24 months postpartum, 42%, 31%, and 28% of women experienced viremia >50, >400, and >1000 copies/mL, respectively, at least once. Across models, the cross-validated area under the receiver operating curve ranged from 0.74 [95% confidence interval (CI): 0.72 to 0.76] to 0.78 (95% CI: 0.76 to 0.80). To achieve 90% sensitivity predicting confirmed viremia >50 copies/mL, 64% of women would be classified as high risk.
CONCLUSIONS: Using routinely collected data to predict viremia in >1300 postpartum women with HIV, we achieved moderate model discrimination, but insufficient to inform targeted adherence support. Psychosocial characteristics or objective adherence metrics may be required for improved prediction of viremia in this population.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 34520443      PMCID: PMC8585692          DOI: 10.1097/QAI.0000000000002800

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.771


  39 in total

Review 1.  Practical and conceptual challenges in measuring antiretroviral adherence.

Authors:  Karina M Berg; Julia H Arnsten
Journal:  J Acquir Immune Defic Syndr       Date:  2006-12-01       Impact factor: 3.731

2.  Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring.

Authors:  Maya L Petersen; Erin LeDell; Joshua Schwab; Varada Sarovar; Robert Gross; Nancy Reynolds; Jessica E Haberer; Kathy Goggin; Carol Golin; Julia Arnsten; Marc I Rosen; Robert H Remien; David Etoori; Ira B Wilson; Jane M Simoni; Judith A Erlen; Mark J van der Laan; Honghu Liu; David R Bangsberg
Journal:  J Acquir Immune Defic Syndr       Date:  2015-05-01       Impact factor: 3.731

Review 3.  Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis.

Authors:  Jeffrey S Gonzalez; Abigail W Batchelder; Cristina Psaros; Steven A Safren
Journal:  J Acquir Immune Defic Syndr       Date:  2011-10-01       Impact factor: 3.731

4.  What do we mean by validating a prognostic model?

Authors:  D G Altman; P Royston
Journal:  Stat Med       Date:  2000-02-29       Impact factor: 2.373

5.  Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection.

Authors:  Jens D Lundgren; Abdel G Babiker; Fred Gordin; Sean Emery; Birgit Grund; Shweta Sharma; Anchalee Avihingsanon; David A Cooper; Gerd Fätkenheuer; Josep M Llibre; Jean-Michel Molina; Paula Munderi; Mauro Schechter; Robin Wood; Karin L Klingman; Simon Collins; H Clifford Lane; Andrew N Phillips; James D Neaton
Journal:  N Engl J Med       Date:  2015-07-20       Impact factor: 91.245

6.  Predicting virologic failure in an HIV clinic.

Authors:  Gregory K Robbins; Kristin L Johnson; Yuchiao Chang; Katherine E Jackson; Paul E Sax; James B Meigs; Kenneth A Freedberg
Journal:  Clin Infect Dis       Date:  2010-03-01       Impact factor: 9.079

7.  Perinatal Depression Among HIV-Infected Women in KwaZulu-Natal South Africa: Prenatal Depression Predicts Lower Rates of Exclusive Breastfeeding.

Authors:  Emily L Tuthill; Jennifer A Pellowski; Sera L Young; Lisa M Butler
Journal:  AIDS Behav       Date:  2017-06

Review 8.  Does U=U for breastfeeding mothers and infants? Breastfeeding by mothers on effective treatment for HIV infection in high-income settings.

Authors:  Catriona Waitt; Nicola Low; Philippe Van de Perre; Fiona Lyons; Mona Loutfy; Karoline Aebi-Popp
Journal:  Lancet HIV       Date:  2018-06-27       Impact factor: 12.767

9.  Sexual Activity Without Condoms and Risk of HIV Transmission in Serodifferent Couples When the HIV-Positive Partner Is Using Suppressive Antiretroviral Therapy.

Authors:  Alison J Rodger; Valentina Cambiano; Tina Bruun; Pietro Vernazza; Simon Collins; Jan van Lunzen; Giulio Maria Corbelli; Vicente Estrada; Anna Maria Geretti; Apostolos Beloukas; David Asboe; Pompeyo Viciana; Félix Gutiérrez; Bonaventura Clotet; Christian Pradier; Jan Gerstoft; Rainer Weber; Katarina Westling; Gilles Wandeler; Jan M Prins; Armin Rieger; Marcel Stoeckle; Tim Kümmerle; Teresa Bini; Adriana Ammassari; Richard Gilson; Ivanka Krznaric; Matti Ristola; Robert Zangerle; Pia Handberg; Antonio Antela; Sris Allan; Andrew N Phillips; Jens Lundgren
Journal:  JAMA       Date:  2016-07-12       Impact factor: 56.272

10.  Association of Maternal Viral Load and CD4 Count With Perinatal HIV-1 Transmission Risk During Breastfeeding in the PROMISE Postpartum Component.

Authors:  Patricia M Flynn; Taha E Taha; Mae Cababasay; Kevin Butler; Mary G Fowler; Lynne M Mofenson; Maxensia Owor; Susan Fiscus; Lynda Stranix-Chibanda; Anna Coutsoudis; Devasena Gnanashanmugam; Nahida Chakhtoura; Katie McCarthy; Lisa Frenkel; Ingrid Beck; Cornelius Mukuzunga; Bonus Makanani; Dhayendre Moodley; Teacler Nematadzira; Bangani Kusakara; Sandesh Patil; Tichaona Vhembo; Raziya Bobat; Blandina T Mmbaga; Maysseb Masenya; Mandisa Nyati; Gerhard Theron; Helen Mulenga; David E Shapiro
Journal:  J Acquir Immune Defic Syndr       Date:  2021-10-01       Impact factor: 3.771

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