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Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world

OBJECTIVE: To determine the stillbirth rate in 2017 at Christian Medical College, a tertiary care perinatal center in South India, and to identify causes for the various stillbirths that occurred using the Relevant Condition at Death (ReCoDe) classification. MATERIAL AND METHODS: Medical records of...

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Autores principales: Kulkarni, Neeraj, Rosario, Deepti Pinto, David, Liji Sarah, Vijayaselvi, Reeta, Beck, Manisha Madhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558356/
https://www.ncbi.nlm.nih.gov/pubmed/30362339
http://dx.doi.org/10.4274/jtgga.galenos.2018.2018.0080
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author Kulkarni, Neeraj
Rosario, Deepti Pinto
David, Liji Sarah
Vijayaselvi, Reeta
Beck, Manisha Madhai
author_facet Kulkarni, Neeraj
Rosario, Deepti Pinto
David, Liji Sarah
Vijayaselvi, Reeta
Beck, Manisha Madhai
author_sort Kulkarni, Neeraj
collection PubMed
description OBJECTIVE: To determine the stillbirth rate in 2017 at Christian Medical College, a tertiary care perinatal center in South India, and to identify causes for the various stillbirths that occurred using the Relevant Condition at Death (ReCoDe) classification. MATERIAL AND METHODS: Medical records of the women with stillbirths between January 1(st), to December 31(st), 2017, were retrieved and analyzed using the SPSS software (IBM, version 23). The study was approved by the institutional review board (minute no: 11273, retro dated: 28/3/2018). RESULTS: Of the total 14696 deliveries between January 1(st), 2017, to December 31(st), 2017, there were 247 stillbirths, a rate of 16.8 per 1000 births. Maternal factors: 156 (64.2%) women were booked and the rest were un-booked. Hypertensive disorders of pregnancy were detected in 27.5% (n=67). A greater number of un-booked women had gestational hypertension as compared with booked women (41% vs 24%, p=0.005). Fetal characteristics: still births secondary to lethal congenital anomalies were seen in 18.2% (n=45). Lethal congenital anomalies were diagnosed 10 times more in the booked patients than un-booked ones (24.7% vs 2.3%, p=0.001). Obstetric factors: one or two previous miscarriages were seen in 29.5% cases. Seventeen women (6.9%) had a prior stillbirth. ReCoDe Classification: we were able to successfully classify 84.2% of the stillbirths, leaving 15.78% unclassified. Fetal growth restriction secondary to uteroplacental insufficiency was found in 25.9% cases. Of the placental causes, abruption accounted for 10.9% of cases. Medical co-morbidities were seen in 46.5% pregnancies. CONCLUSION: The ReCoDe method of classifying stillbirths is useful in the developing world. It helped to elucidate the cause for stillbirths in 84.2% of cases. The majority of cases in our set were due to fetal growth restriction, hypertensive disorders of pregnancy, and uteroplacental insufficiency. Stillbirths can be prevented by a comprehensive antenatal care system, early recognition, and close monitoring of high-risk pregnancies.
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spelling pubmed-65583562019-06-19 Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world Kulkarni, Neeraj Rosario, Deepti Pinto David, Liji Sarah Vijayaselvi, Reeta Beck, Manisha Madhai J Turk Ger Gynecol Assoc Original Investigation OBJECTIVE: To determine the stillbirth rate in 2017 at Christian Medical College, a tertiary care perinatal center in South India, and to identify causes for the various stillbirths that occurred using the Relevant Condition at Death (ReCoDe) classification. MATERIAL AND METHODS: Medical records of the women with stillbirths between January 1(st), to December 31(st), 2017, were retrieved and analyzed using the SPSS software (IBM, version 23). The study was approved by the institutional review board (minute no: 11273, retro dated: 28/3/2018). RESULTS: Of the total 14696 deliveries between January 1(st), 2017, to December 31(st), 2017, there were 247 stillbirths, a rate of 16.8 per 1000 births. Maternal factors: 156 (64.2%) women were booked and the rest were un-booked. Hypertensive disorders of pregnancy were detected in 27.5% (n=67). A greater number of un-booked women had gestational hypertension as compared with booked women (41% vs 24%, p=0.005). Fetal characteristics: still births secondary to lethal congenital anomalies were seen in 18.2% (n=45). Lethal congenital anomalies were diagnosed 10 times more in the booked patients than un-booked ones (24.7% vs 2.3%, p=0.001). Obstetric factors: one or two previous miscarriages were seen in 29.5% cases. Seventeen women (6.9%) had a prior stillbirth. ReCoDe Classification: we were able to successfully classify 84.2% of the stillbirths, leaving 15.78% unclassified. Fetal growth restriction secondary to uteroplacental insufficiency was found in 25.9% cases. Of the placental causes, abruption accounted for 10.9% of cases. Medical co-morbidities were seen in 46.5% pregnancies. CONCLUSION: The ReCoDe method of classifying stillbirths is useful in the developing world. It helped to elucidate the cause for stillbirths in 84.2% of cases. The majority of cases in our set were due to fetal growth restriction, hypertensive disorders of pregnancy, and uteroplacental insufficiency. Stillbirths can be prevented by a comprehensive antenatal care system, early recognition, and close monitoring of high-risk pregnancies. Galenos Publishing 2019-06 2019-05-28 /pmc/articles/PMC6558356/ /pubmed/30362339 http://dx.doi.org/10.4274/jtgga.galenos.2018.2018.0080 Text en © Copyright 2019 by the Turkish-German Gynecological Education and Research Foundation http://creativecommons.org/licenses/by/2.5/ Journal of the Turkish-German Gynecological Association published by Galenos Publishing House.
spellingShingle Original Investigation
Kulkarni, Neeraj
Rosario, Deepti Pinto
David, Liji Sarah
Vijayaselvi, Reeta
Beck, Manisha Madhai
Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title_full Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title_fullStr Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title_full_unstemmed Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title_short Decoding stillbirths using the Relevant Condition at Death classification: Study from the developing world
title_sort decoding stillbirths using the relevant condition at death classification: study from the developing world
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558356/
https://www.ncbi.nlm.nih.gov/pubmed/30362339
http://dx.doi.org/10.4274/jtgga.galenos.2018.2018.0080
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