提高怀孕后艾滋病毒护理的保留率:来自美国大流行后队列的经验教训。

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-06-27 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1561490
Alexandra H Latham, Andrea Lugo Morales, Elizabeth Barba Gutierrez, Michael Jochum, Sarah Conrad, Eva H Clark, Kassandra Goytia, Megan Alam, Jessica Gerard, Jennifer McKinney
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引用次数: 0

摘要

HIV感染者(PLWH)经常经历HIV护理(RIC)的低保留率和产后病毒抑制的次优。了解RIC的当代障碍对于确定失去护理的风险因素,从而在这一脆弱的过渡期间改善支持至关重要。这项工作旨在确定与充分RIC相关的因素,RIC定义为产后第一年两次HIV护理访问间隔≥90天。方法:回顾性分析单个县卫生系统2019年至2023年分娩并接受产前护理的PLWH的电子记录。收集了与孕产妇和新生儿艾滋病毒以及产科或儿科护理相关的变量。使用描述性统计分析变量,并使用Kaplan-Meier曲线评估怀孕期间和产后第一年的病毒抑制情况。随机森林机器学习模型用于确定相对重要的变量,以预测适当的RIC。采用多变量logistic回归评估识别变量对RIC的影响。结果:182例妊娠中,60例(33%)达到了足够的产后RIC。充分的RIC与分娩年份(p = 0.018)、至少参加两次产科产后就诊(p = 0.025)、初次产前就诊时病毒抑制(p = 0.030)、孕期就诊和孕前产后HIV护理就诊间隔较短相关(p < 0.001)。在分娩时,病毒抑制通常很好(99.4%)。然而,分娩后病毒载量反弹,产后12个月66.8%的病毒载量被抑制。随机森林模型确定了几个临床和社会因素对预测RIC相对重要。多变量logistic回归支持上述发现,基于分娩年份的适当RIC的几率显著降低[2021 aOR 0.306 (0.097-0.956), 2022 aOR 0.146(0.046-0.458), 2023 0.071(0.011-0.455)],初次产前检查时病毒载量较高[aOR 0.038(0.002-0.889)],最后一次HIV护理访问与首次妊娠访问之间的时间间隔较长[aOR 0.419(0.176-0.998)]。讨论:在当代美国单中心队列中,产后RIC是次优的。参与产前和产后产科护理预测改善产后RIC。进一步的定性研究对于加深对围产期参与模式的理解至关重要,以便制定有效的干预措施,在这一艰难的过渡时期改善对个人的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward improving retention in HIV care after pregnancy: lessons from a post-pandemic cohort in the United States.

Introduction: People living with HIV (PLWH) often experience low rates of retention in HIV care (RIC) and suboptimal viral suppression postpartum. Understanding contemporary barriers to RIC is crucial to identify risk factors for loss to care and thereby improve support during this vulnerable transition. This work aimed to identify factors associated with adequate RIC, defined as two HIV care visits ≥90 days apart in the first year postpartum.

Methods: Electronic records were retrospectively reviewed for PLWH who delivered from 2019 to 2023 and received prenatal care within a single county health system. Variables were collected related to both maternal and neonatal HIV and obstetric or pediatric care. Variables were analyzed using descriptive statistics, and Kaplan-Meier curves were used to assess viral suppression during pregnancy and the first year postpartum. A Random Forest machine learning model was used to determine variables of relative importance for prediction of adequate RIC. Multivariable logistic regression was used to evaluate impact of identified variables on RIC.

Results: Of 182 pregnancies, sixty individuals (33%) achieved adequate postpartum RIC. Adequate RIC correlated with year of delivery (p = 0.018), attending at least two obstetrical postpartum visits (p = 0.025), viral suppression at initial prenatal visit (p = 0.030), and shorter duration between pregnancy visit and HIV care visits before and after pregnancy (p < 0.001). Viral suppression was generally excellent at time of delivery (99.4%). However, viral loads rebounded after delivery, with 66.8% suppressed at 12 months postpartum. Random Forest modeling identified several clinical and social factors with relative importance for prediction of RIC. Multivariable logistic regression supported above findings with significant decreased odds of adequate RIC based on year of delivery [2021 aOR 0.306 (0.097-0.956), 2022 0.146 (0.046-0.458), 2023 0.071 (0.011-0.455)], higher viral load at initial prenatal visit [aOR 0.038 (0.002-0.889)], and longer duration between last HIV care visit and first pregnancy visit [aOR 0.419 (0.176-0.998)].

Discussion: Postpartum RIC was suboptimal in this contemporary US single-site cohort. Engagement in prenatal and postpartum obstetric care predicted improved postpartum RIC. Further qualitative research is essential to improve deeper understanding of patterns of engagement perinatally in order to develop effective interventions to improve support for individuals during this difficult transition.

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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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