Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1785086495377326080 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10410605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT thakkaraarti assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT hameedafshanb assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT makshoodminhal assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT gudenkaufbrent assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT creangaandreeaa assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT malhameisabelle assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT grandisoniam assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT thornesaraa assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT dsouzarohan assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity AT sharmagarima assessmentandpredictionofcardiovascularcontributionstoseverematernalmorbidity |