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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Galenos Publishing
2019
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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. |
format | Online Article Text |
id | pubmed-6558356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Galenos Publishing |
record_format | MEDLINE/PubMed |
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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