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Thakkar A, Hameed AB, Makshood M, Gudenkauf B, Creanga AA, Malhamé I, Grandi SM, Thorne SA, D'Souza R, Sharma G. Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity. JACC. ADVANCES 2023; 2:100275. [PMID: 37560021 PMCID: PMC10410605 DOI: 10.1016/j.jacadv.2023.100275] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 08/11/2023]
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.
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Affiliation(s)
- Aarti Thakkar
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Afshan B. Hameed
- Department of Obstetrics & Gynecology, Department of Medicine, University of California-Irvine, Irvine, California, USA
| | - Minhal Makshood
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brent Gudenkauf
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andreea A. Creanga
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Isabelle Malhamé
- Division of General Internal Medicine, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
- Center for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Sonia M. Grandi
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sara A. Thorne
- Division of Cardiology, Pregnancy & Heart Disease Program, Mount Sinai Hospital & University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Rohan D'Souza
- Departments of Obstetrics & Gynaecology and Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Garima Sharma
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Shields AD, Kavanagh L, Battistelli J. Leave no woman behind: a call to standardize and expand the Get With The Guidelines registry. Am J Obstet Gynecol 2022; 227:551-553. [PMID: 35550373 PMCID: PMC10698801 DOI: 10.1016/j.ajog.2022.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/05/2022] [Indexed: 11/01/2022]
Affiliation(s)
- Andrea D Shields
- Department of Obstetrics and Gynecology, University of Connecticut School of Medicine, 265 Farmington Ave., Farmington, CT 06030.
| | - Laurie Kavanagh
- Department of Obstetrics and Gynecology, University of Connecticut School of Medicine, 265 Farmington Ave., Farmington, CT 06030
| | - Jacqueline Battistelli
- Department of Gynecologic Surgery & Obstetrics, Uniformed Services University of the Health Sciences, San Antonio, TX
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Silva SMDA, Silva FLD, Grimaldi MRM, Barros LM, Sá GGDM, Galindo Neto NM. Parada cardiorrespiratória obstétrica: construção e validação de instrumento para avaliar o conhecimento da enfermagem. Rev Gaucha Enferm 2022. [DOI: 10.1590/1983-1447.2022.20220024.pt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RESUMO Objetivo Construir e validar instrumento para avaliar o conhecimento da enfermagem sobre parada cardiorrespiratória obstétrica. Métodos Estudo metodológico composto pela construção do instrumento, validação de conteúdo por 23 especialistas e validação da consistência interna com 74 profissionais da enfermagem e 99 estudantes de enfermagem. Foram considerados válidos os itens com concordância mínima de 90%, verificada a partir do Índice de Validação de Conteúdo, Razão de Validade de Conteúdo e teste binomial. O alpha de Cronbach foi utilizado para verificar a consistência interna e o valor superior a 0,6 classificado como aceitável. Resultados O instrumento foi composto por16 questões de múltipla escolha, dos 16 itens avaliados, oito possuíram concordância de 100% e seis 95%. A menor razão de validade de conteúdo foi de 0,82 e o alpha de Cronbach foi de 0,694. Conclusões O instrumento foi construído e validado, recomendando-se sua utilização para avaliação do conhecimento em parada cardiorrespiratória obstétrica.
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Silva SMDA, Silva FLD, Grimaldi MRM, Barros LM, Sá GGDM, Galindo Neto NM. Obstetric cardiopulmonary arrest: construction and validation of an instrument to assess nursing knowledge. Rev Gaucha Enferm 2022; 43:e20220024. [DOI: 10.1590/1983-1447.2022.20220024.en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022] Open
Abstract
ABSTRACT Objective To build and validate an instrument to assess nursing knowledge about obstetric cardiopulmonary arrest. Methods A methodological study consisting of the construction of the instrument, content validation by 23 experts and validation of internal consistency with 74 nursing professionals and 99 nursing students. Items with a minimum agreement of 90%, verified from the Content Validation Index, Content Validity Ratio and binomial test were considered valid. Cronbach’s alpha was used to verify internal consistencyand a value greater than 0.6 was classified as acceptable. Results The instrument consisted of 16 multiple-choice questions, from the 16 items evaluated, eight had 100% agreement by the experts and six had 95%. The lowest content validity ratio was 0.82 and Cronbach’s alpha was 0.694. Conclusions The instrument was constructed and validated, and its use is recommended to assess knowledge in obstetric cardiopulmonary arrest.
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