Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity

Aarti Thakkar, Afshan B. Hameed, Minhal Makshood, Brent Gudenkauf, Andreea A. Creanga, Isabelle Malhamé, Sonia M. Grandi, Sara A. Thorne, Rohan D'Souza, Garima Sharma

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish (US)
Article number100275
JournalJACC: Advances
Volume2
Issue number2
DOIs
StatePublished - Mar 2023

Keywords

  • cardio-obstetrics
  • cardiovascular disease
  • severe maternal morbidity

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Dentistry (miscellaneous)

Fingerprint

Dive into the research topics of 'Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity'. Together they form a unique fingerprint.

Cite this