Year: 2023
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: Background: Cardiac arrest during pregnancy is a serious condition that can cause significant morbidity and mortality for both the mother and the unborn child Objective: This systematic review and meta-analysis seek to estimate the worldwide prevalence of cardiac arrest during pregnancy. Methods: Multiple databases, including "PubMed, Cochrane, and Embase", were searched until April 7, 2023, exclusively in English, to ensure a comprehensive selection of relevant studies. A stringent two-stage screening process was employed, evaluating titles, abstracts, and full-text reviews based on the research question, "What is the prevalence of cardiac arrest in women during pregnancy?" Two authors independently extracted relevant data from the selected studies, including author names, publication years, study design, cardiac arrest occurrences, and total number of pregnant participants. The third author resolved the conflict. The Random Effects Model (REM) computed the pooled cardiac arrest prevalence. Heterogeneity was assessed via the I2 statistic. Results: The systematic search of the database resulted in the identification of 1246 articles. Out of these, 18 were deemed suitable for inclusion in the systematic review, and ultimately, 17 of them were included in the meta-analysis.The pooled cardiac arrest prevalence during pregnancy was estimated at 0.08% (95% CI 0.03-0.19). The PI was <0.001-5.03%. However, the heterogeneity remained high (I2=100%). Sub-group analysis disclosed varying prevalence across continents, with Asia displaying the highest rate [(2.76%) (95% CI 1.04-7.12]. Conclusions: The study reveals significant cardiac arrest prevalence in pregnancy, with increasing rates over time and variations by continent. Maternal mortality concerns persist, particularly in Asia.
Source: The Evidence
Authors: Shashi B Singh, P Aparnavi, Geetu Singh, Dewesh Kumar, Asha Kiran, Nisha Kumari, Pravin Yannawar, Sandip Kumar, Arvind Kumar, Nitika Keshri
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414748580