Optimal Delivery Management for the Prevention of Early Neonatal SARS-CoV-2 Infection: Systematic Review and Meta-analysis

Author:

Chan Christina S.1,Kong Juin Yee2,Sultana Rehena3,Mundra Vatsala4,Babata Kikelomo L.1,Mazzarella Kelly1,Adhikari Emily H.5,Yeo Kee Thai2,Hascoët Jean-Michel6,Brion Luc P.1

Affiliation:

1. Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas, Southwestern Medical Center, Dallas, Texas

2. Department of Neonatology, Kandang Kerbau Women's and Children's Hospital, Singapore

3. Department of Quantitative Medicine, Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore

4. School of Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas

5. Department of Obstetrics and Gynecology, University of Texas, Southwestern Medical Center, Dallas, Texas

6. Department of Pediatrics, Division of Neonatology, Lorraine University, DevAH, CHRU-Nancy, France

Abstract

Objective Delivery management interventions (DMIs) were recommended to prevent delivery-associated transmission of maternal SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) to infants without evidence of effect on early neonatal SARS-CoV-2 infection (ENI) and neonatal death <28 days of life (ND). This systematic review describes different DMI combinations and the frequency of ENI and ND. Study Design Individual patient data were collected from articles published from January 1, 2020 to December 31, 2021 from Cochrane review databases, Medline, and Google Scholar. Article inclusion criteria were: documented maternal SARS-CoV-2 polymerase chain reaction (PCR)-positive status 10 days before delivery or symptomatic at delivery with a positive test within 48 hours, known delivery method, and known infant SARS-CoV-2 PCR result. Primary outcomes were ENI (positive PCR at 12 hours to 10 days) and ND. All characteristics were pooled using the DerSimonian–Laird inverse variance method. Primary outcome analyses were performed using logit transformation and random effect. Pooled results were expressed as percentages (95% confidence intervals). Continuity correction was applied for all pooled results if any included study has 0 event. Results A total of 11,075 publications were screened. 117 publications representing 244 infants and 230 mothers were included. All publications were case reports. ENI and ND were reported in 23.4% (18.2–29.18) and 2.1% (0.67–4.72) of cases, respectively. Among cases with available information, DMIs were reported for physical environment (85–100%), delivery-specific interventions (47–100%), and infant care practices (80–100%). No significant comparisons could be performed between different DMI combinations due to small sample size. Conclusion The evidence supporting any DMI in SARS-CoV-2-infected mothers to prevent ENI or ND is extremely limited. Limitations of this meta-analysis include high risk of bias, small sample size, and large confidence intervals. This identifies the need for multinational database generation and specific studies designed to provide evidence of DMI guidelines best suited to prevent transmission from mother to neonate. Key Points

Publisher

Georg Thieme Verlag KG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3