Placental Abruption and Cardiovascular Event Risk (PACER): Design, data linkage, and preliminary findings

Author:

Ananth Cande V.12345ORCID,Lee Rachel1ORCID,Valeri Linda67ORCID,Ross Zev8ORCID,Graham Hillary L.19ORCID,Khan Shama P.110ORCID,Cabrera Javier211ORCID,Rosen Todd10ORCID,Kostis William J.23ORCID

Affiliation:

1. Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences Rutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA

2. Cardiovascular Institute of New Jersey Rutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA

3. Department of Medicine Rutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA

4. Department of Biostatistics and Epidemiology Rutgers School of Public Health Piscataway New Jersey USA

5. Environmental and Occupational Health Sciences Institute Rutgers Robert Wood Johnson Medical School Piscataway New Jersey USA

6. Department of Biostatistics, Joseph L. Mailman School of Public Health Columbia University New York New York USA

7. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts USA

8. ZevRoss Spatial Analysis, Inc. Ithaca New York USA

9. Clinical Epidemiology Division, Faculty of Medicine at Solna Karolinska Institutet Stockholm Sweden

10. Division of Maternal‐Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences Rutgers Robert Wood Johnson Medical School New Brunswick New Jersey USA

11. Department of Statistics Rutgers University Piscataway New Jersey USA

Abstract

AbstractBackgroundObstetrical complications impact the health of mothers and offspring along the life course, resulting in an increased burden of chronic diseases. One specific complication is abruption, a life‐threatening condition with consequences for cardiovascular health that remains poorly studied.ObjectivesTo describe the design and data linkage algorithms for the Placental Abruption and Cardiovascular Event Risk (PACER) cohort.PopulationAll subjects who delivered in New Jersey, USA, between 1993 and 2020.DesignRetrospective, population‐based, birth cohort study.MethodsWe linked the vital records data of foetal deaths and live births to delivery and all subsequent hospitalisations along the life course for birthing persons and newborns. The linkage was based on a probabilistic record‐matching algorithm.Preliminary ResultsOver the 28 years of follow‐up, we identified 1,877,824 birthing persons with 3,093,241 deliveries (1.1%, n = 33,058 abruption prevalence). The linkage rates for live births‐hospitalisations and foetal deaths‐hospitalisations were 92.4% (n = 2,842,012) and 70.7% (n = 13,796), respectively, for the maternal cohort. The corresponding linkage rate for the live births‐hospitalisations for the offspring cohort was 70.3% (n = 2,160,736). The median (interquartile range) follow‐up for the maternal and offspring cohorts was 15.4 (8.1, 22.4) and 14.4 (7.4, 21.0) years, respectively. We will undertake multiple imputations for missing data and develop inverse probability weights to account for selection bias owing to unlinked records.ConclusionsPregnancy offers a unique window to study chronic diseases along the life course and efforts to identify the aetiology of abruption may provide important insights into the causes of future CVD. This project presents an unprecedented opportunity to understand how abruption may predispose women and their offspring to develop CVD complications and chronic conditions later in life.

Funder

National Heart, Lung, and Blood Institute

Publisher

Wiley

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