Torre Monmany Núria, Astete Joaquín Américo, Ramaiah Dasarath, Suchitra Jyothi, Krauel Xavier, Fillol Manolo, Balasubbaiah Yadamala, Alarcón Ana, Bassat Quique
Department of Paediatrics, Rural Development Trust Children's Hospital, Bathalapalli, Andhra Pradesh, India.
Department of Paediatric Emergency Transport, Sant Joan de Déu Hospital, Barcelona, Spain.
Am J Perinatol. 2023 Mar;40(4):375-386. doi: 10.1055/s-0041-1727220. Epub 2021 Apr 26.
The aim of the study is to describe the status of perinatal mortality (PM) in an Indian rural hospital.
Retrospective analysis of data was compiled from PM meetings (April 2017 to December 2018) following "Making Every Baby Count: audit and review of stillbirths and neonatal deaths (ENAP or Every Newborn Action Plan)."
The study includes 8,801 livebirths, 105 stillbirths (SBs); 74 antepartum stillbirths [ASBs], 22 intrapartum stillbirths [ISBs], and nine unknown timing stillbirths [USBs]), 39 neonatal deaths or NDs (perinatal death or PDs 144). The higher risks for ASBs were maternal age >34 years, previous history of death, and/or SBs. Almost half of the PDs could be related with antepartum complications. More than half of the ASB were related with preeclampsia/eclampsia and abruptio placentae; one-third of the ISB were related with preeclampsia/eclampsia and gestational hypertension, fetal growth restriction, and placental dysfunction. The main maternal conditions differed between PDs ( = 0.005). The main causes of the ND were infections, congenital malformations, complications of prematurity, intrapartum complications, and unknown. The stillbirth rate was 11.8/1,000 births, neonatal mortality rate 4.4/1,000 livebirths, and perinatal mortality rate 15.8/1,000 births.
This is the first study of its kind in Andhra Pradesh being the first step for the analysis and prevention of PM.
· Many conditions that lead to stillbirths are linked to neonatal deaths and PM has been outside of the global parameters from the last decades.. · This is the first study following International Classification of Disease perinatal mortality codes and the audit of ENAP in Andhra Pradesh.. · Extended PM and mortality are mainly caused by similar preventable and treatable conditions..
本研究旨在描述一家印度农村医院的围产期死亡率(PM)状况。
根据“让每个婴儿都算数:死产和新生儿死亡审计与审查(ENAP或每个新生儿行动计划)”,对2017年4月至2018年12月围产期死亡率会议的数据进行回顾性分析。
该研究纳入8801例活产、105例死产(74例产前死产[ASB]、22例产时死产[ISB]和9例死亡时间不明的死产[USB])、39例新生儿死亡或ND(围产期死亡或PD 144例)。产前死产的较高风险因素为产妇年龄>34岁、既往死亡史和/或死产史。几乎一半的围产期死亡可能与产前并发症有关。超过一半的产前死产与子痫前期/子痫和胎盘早剥有关;三分之一的产时死产与子痫前期/子痫、妊娠期高血压、胎儿生长受限和胎盘功能障碍有关。围产期死亡的主要母体状况存在差异(P = 0.005)。新生儿死亡的主要原因是感染、先天性畸形、早产并发症、产时并发症及原因不明。死产率为11.8/1000例分娩,新生儿死亡率为4.4/1000例活产,围产期死亡率为15.8/1000例分娩。
这是安得拉邦同类研究中的首例,是分析和预防围产期死亡率的第一步。
·许多导致死产的情况与新生儿死亡有关,且在过去几十年中围产期死亡率超出了全球参数范围。·这是安得拉邦首例遵循国际疾病分类围产期死亡编码及每个新生儿行动计划审计的研究。·围产期死亡率和死亡率的增加主要由类似的可预防和可治疗情况引起。