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Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity

Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women’s health. This affects about 60,000 women annually in the United States. Cardiovascular contribut...

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Autores principales: Thakkar, Aarti, Hameed, Afshan B., Makshood, Minhal, Gudenkauf, Brent, Creanga, Andreea A., Malhamé, Isabelle, Grandi, Sonia M., Thorne, Sara A., D’Souza, Rohan, Sharma, Garima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410605/
https://www.ncbi.nlm.nih.gov/pubmed/37560021
http://dx.doi.org/10.1016/j.jacadv.2023.100275
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author Thakkar, Aarti
Hameed, Afshan B.
Makshood, Minhal
Gudenkauf, Brent
Creanga, Andreea A.
Malhamé, Isabelle
Grandi, Sonia M.
Thorne, Sara A.
D’Souza, Rohan
Sharma, Garima
author_facet Thakkar, Aarti
Hameed, Afshan B.
Makshood, Minhal
Gudenkauf, Brent
Creanga, Andreea A.
Malhamé, Isabelle
Grandi, Sonia M.
Thorne, Sara A.
D’Souza, Rohan
Sharma, Garima
author_sort Thakkar, Aarti
collection PubMed
description Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women’s health. This affects about 60,000 women annually in the United States. Cardiovascular contributions to SMM including cardiac arrest, arrhythmia, and acute myocardial infarction are on the rise, probably driven by changing demographics of the pregnant population including more women of extreme maternal age and an increased prevalence of cardiometabolic and structural heart disease. The utilization of SMM prediction tools and risk scores specific to cardiovascular disease in pregnancy has helped with risk stratification. Furthermore, health system data monitoring and reporting to identify and assess etiologies of cardiovascular complications has led to improvement in outcomes and greater standardization of care for mothers with cardiovascular disease. Improving cardiovascular disease-related SMM relies on a multipronged approach comprised of patient-level identification of risk factors, individualized review of SMM cases, and validation of risk stratification tools and system-wide improvements in quality of care. In this article, we review the epidemiology and cardiac causes of SMM, we provide a framework of risk prediction clinical tools, and we highlight need for organization of care to improve outcomes.
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spelling pubmed-104106052023-08-09 Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity Thakkar, Aarti Hameed, Afshan B. Makshood, Minhal Gudenkauf, Brent Creanga, Andreea A. Malhamé, Isabelle Grandi, Sonia M. Thorne, Sara A. D’Souza, Rohan Sharma, Garima JACC Adv Article Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women’s health. This affects about 60,000 women annually in the United States. Cardiovascular contributions to SMM including cardiac arrest, arrhythmia, and acute myocardial infarction are on the rise, probably driven by changing demographics of the pregnant population including more women of extreme maternal age and an increased prevalence of cardiometabolic and structural heart disease. The utilization of SMM prediction tools and risk scores specific to cardiovascular disease in pregnancy has helped with risk stratification. Furthermore, health system data monitoring and reporting to identify and assess etiologies of cardiovascular complications has led to improvement in outcomes and greater standardization of care for mothers with cardiovascular disease. Improving cardiovascular disease-related SMM relies on a multipronged approach comprised of patient-level identification of risk factors, individualized review of SMM cases, and validation of risk stratification tools and system-wide improvements in quality of care. In this article, we review the epidemiology and cardiac causes of SMM, we provide a framework of risk prediction clinical tools, and we highlight need for organization of care to improve outcomes. 2023-03 2023-03-22 /pmc/articles/PMC10410605/ /pubmed/37560021 http://dx.doi.org/10.1016/j.jacadv.2023.100275 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Thakkar, Aarti
Hameed, Afshan B.
Makshood, Minhal
Gudenkauf, Brent
Creanga, Andreea A.
Malhamé, Isabelle
Grandi, Sonia M.
Thorne, Sara A.
D’Souza, Rohan
Sharma, Garima
Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title_full Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title_fullStr Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title_full_unstemmed Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title_short Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity
title_sort assessment and prediction of cardiovascular contributions to severe maternal morbidity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410605/
https://www.ncbi.nlm.nih.gov/pubmed/37560021
http://dx.doi.org/10.1016/j.jacadv.2023.100275
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