Impact of COVID-19 pandemic on maternal and neonatal outcomes: A narrative review and evidence from the PregCovid registry

Author:

Zala Sarika1,Munshi Hrishikesh1,Mahajan Niraj N.2,Surve Suchitra3,Gajbhiye Rahul1

Affiliation:

1. Clinical Research Laboratory, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India,

2. Department of Obstetrics and Gynecology, Topiwala National Medical College and Bai Yamunabai Laxman Nair Charitable Hospital, Mumbai, Maharashtra, India,

3. Department of Child Health Research, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India,

Abstract

More than 533 million Coronavirus Disease 2019 (COVID-19) cases and associated 6 million fatalities were reported globally whereas 43 million cases and 0.5 million deaths in India were reported till June 2022. Maharashtra state alone reported about one-third of the total cases of COVID-19 in India in the early period of COVID-19 pandemic. The lack of epidemiological, demographic, and impact data of COVID-19 on pregnant women and newborns, advocated the need for recording and documenting population specific data for clinical management and policy decisions in India. The PregCovid registry was launched in April 2020 by the Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, in collaboration with the Medical Education and Drugs Department, Government of Maharashtra, and Topiwala National Medical College and Bai Yamunabai Laxman Nair Charitable Hospital to gain insights into clinical and socio-epidemiological characteristics of pregnant women with lab confirmed COVID-19 and assess its impact on maternal and neonatal outcomes. The registry has collected data of 8428 pregnant and postpartum women with COVID-19 from 19 participating centers across Maharashtra in a near real-time manner. The registry first reported that the delta variant (B.1.617.2) dominant second wave was more lethal (case fatality rate 5.7%) to pregnant and postpartum women than the alpha (0.7%) dominant wave of COVID-19 in India. There was also a higher incidence of moderate to severe cases, intensive care admissions and maternal complications including pre-eclampsia, low birth weight and preterm deliveries during the delta wave. The omicron dominant third wave of the COVID-19 pandemic exhibited a higher transmission rate compared to the previous two waves, causing a surge in cases but minimally impacting adverse outcomes. The registry further analyzed and reported the impact of COVID-19 on pregnant and postpartum women with comorbidities, coinfections, twin pregnancies, and neonatal outcomes, while providing crucial policy inputs to improve maternal and newborn health during the pandemic. The registry model can be replicated at tertiary care hospitals across India to understand various maternal-neonatal outcomes. The evidence generated from PregCovid registry was useful for improved clinical management and also contributed to a policy decision on COVID-19 vaccination in pregnant women in India. The registry envisions a collaboration with similar regional, national and international registries to form an international consortium for data sharing and reporting to promote global policy level interventions and advocates a sustainable and collective response to improve the COVID-19 global vaccination coverage.

Publisher

Scientific Scholar

Subject

Automotive Engineering

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