Literature DB >> 35734358

Causes and Demographic Factors Affecting Stillbirth in a Tertiary Care Centre in India.

Pradnya Changede1, Sneha Venkateswaran1, Arun Nayak1, Dinesh Wade1, Priyanka Sonawane1, Ruchita Patel1, Hitendra Rajput1.   

Abstract

Introduction: Stillbirth is a global health problem having many emotional, social and economic consequences. India has the largest number of stillbirths per year in the world. Objective: The objective of this study is to review the causes of stillbirth and classify the causes into maternal, foetal and placental causes and further classify causes by relevant condition at death (ReCoDe) classification. We intend to observe the causes of and demographic factors contributing to the burden of stillbirths. Using this data, the areas of action can be identified and measures can be formulated to reduce a significant number of perinatal mortalities. Methodology: This is an observational study of data collected over one year (January 2019-December 2019) from a tertiary care centre in Mumbai, India. The maternal demographic characteristics and causes of stillbirth were studied. The causes of stillbirths were classified into maternal, foetal and placental causes and relevant condition at death (ReCoDe) classification [1].
Results: A total of 9074 babies were delivered during this period. There were 275 stillbirths in this year (SBR 30.3 per 1000 total births). Majority of the mothers were in the age group of 26-30 years (32.7%). Almost all the mothers (98.5%) were from urban areas. As per the modified Kuppuswamy classification for urban India, 195 (71.79%) belonged to the upper lower class. 31.2% were primigravidae, and 54.8% had 3 or more antenatal visits. Maternal conditions (pre-eclampsia, diabetes, pre-existing medical disorders) as a group were the cause of maximum number (42%) of stillbirths either directly or as a contributory risk factor. 78% of the stillbirths occurred in the antepartum period. Ours being a referral centre, 65% subjects in the study were referred to us from other peripheral hospitals. 53.8% of the stillborn babies were male. 58.9% were macerated stillbirths. According to the ReCoDe classification, hypertensive disease in pregnancy was the most common cause of stillbirths (76) followed by foetal growth restriction (30).
Conclusion: Most of the stillbirths in this study were due to maternal medical conditions. Out of these conditions, hypertensive disorders of pregnancy and its consequences were the most common (66.08%). Better regulation of the private healthcare sector, provision of healthcare providers and better equipments in peripheral health centres and a well-chalked out referral system will contribute to reduction in the number of preventable stillbirths. Regular facility-based stillbirth review meetings and healthcare provider accountability would also help to reduce the burden of this silent epidemic as well as reach the goal of a "single-digit" stillbirth rate by the year 2030. © Federation of Obstetric & Gynecological Societies of India 2021.

Entities:  

Keywords:  Classification of stillbirth; ReCoDe classification; Stillbirth

Year:  2021        PMID: 35734358      PMCID: PMC9206988          DOI: 10.1007/s13224-021-01571-1

Source DB:  PubMed          Journal:  J Obstet Gynaecol India        ISSN: 0975-6434


  13 in total

1.  Stillbirths: Where? When? Why? How to make the data count?

Authors:  Joy E Lawn; Hannah Blencowe; Robert Pattinson; Simon Cousens; Rajesh Kumar; Ibinabo Ibiebele; Jason Gardosi; Louise T Day; Cynthia Stanton
Journal:  Lancet       Date:  2011-04-13       Impact factor: 79.321

Review 2.  Delivering interventions to reduce the global burden of stillbirths: improving service supply and community demand.

Authors:  Zulfiqar A Bhutta; Gary L Darmstadt; Rachel A Haws; Mohammad Yawar Yakoob; Joy E Lawn
Journal:  BMC Pregnancy Childbirth       Date:  2009-05-07       Impact factor: 3.007

3.  Aetiology and trends of rates of stillbirth in a tertiary care hospital in the north of India over 10 years: a retrospective study.

Authors:  B Sharma; Grv Prasad; N Aggarwal; S Siwatch; V Suri; N Kakkar
Journal:  BJOG       Date:  2019-08-13       Impact factor: 6.531

4.  Community mobilization in Mumbai slums to improve perinatal care and outcomes: a cluster randomized controlled trial.

Authors:  Neena Shah More; Ujwala Bapat; Sushmita Das; Glyn Alcock; Sarita Patil; Maya Porel; Leena Vaidya; Armida Fernandez; Wasundhara Joshi; David Osrin
Journal:  PLoS Med       Date:  2012-07-03       Impact factor: 11.069

5.  Stillbirths and newborn deaths in slum settlements in Mumbai, India: a prospective verbal autopsy study.

Authors:  Ujwala Bapat; Glyn Alcock; Neena Shah More; Sushmita Das; Wasundhara Joshi; David Osrin
Journal:  BMC Pregnancy Childbirth       Date:  2012-05-30       Impact factor: 3.007

6.  Estimation of perinatal mortality rate for institutional births in Rajasthan state, India, using capture-recapture technique.

Authors:  Prem K Mony; Beena Varghese; Tinku Thomas
Journal:  BMJ Open       Date:  2015-03-17       Impact factor: 2.692

7.  Level, causes, and risk factors of stillbirth: a population-based case control study from Chandigarh, India.

Authors:  Ariarathinam Newtonraj; Manmeet Kaur; Madhu Gupta; Rajesh Kumar
Journal:  BMC Pregnancy Childbirth       Date:  2017-11-13       Impact factor: 3.007

8.  Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa.

Authors:  Mamuda Aminu; Sarah Bar-Zeev; Sarah White; Matthews Mathai; Nynke van den Broek
Journal:  BMC Pregnancy Childbirth       Date:  2019-12-04       Impact factor: 3.007

9.  National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis.

Authors:  Hannah Blencowe; Simon Cousens; Fiorella Bianchi Jassir; Lale Say; Doris Chou; Colin Mathers; Dan Hogan; Suhail Shiekh; Zeshan U Qureshi; Danzhen You; Joy E Lawn
Journal:  Lancet Glob Health       Date:  2016-01-19       Impact factor: 26.763

Review 10.  Stillbirths: rates, risk factors, and acceleration towards 2030.

Authors:  Joy E Lawn; Hannah Blencowe; Peter Waiswa; Agbessi Amouzou; Colin Mathers; Dan Hogan; Vicki Flenady; J Frederik Frøen; Zeshan U Qureshi; Claire Calderwood; Suhail Shiekh; Fiorella Bianchi Jassir; Danzhen You; Elizabeth M McClure; Matthews Mathai; Simon Cousens
Journal:  Lancet       Date:  2016-01-19       Impact factor: 79.321

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