Maternal ABO Blood Type and Factors Associated With Preeclampsia Subtype.

Burgess, Adriane; Johnson, Teresa S.; Simanek, Amanda; Bell, Theodore; Founds, Sandra

Background: The pathophysiology of preeclampsia remains unclear. The disorder is heterogeneous, and the pathophysiology may vary by subtype. Identification of relevant biomarkers will help to better elucidate the pathophysiologic basis of each preeclampsia subtype. Blood type may be a biomarker that allows risk identification for preeclampsia. Objective: The purpose of this study was to investigate the associations among maternal ABO blood type and preeclampsia subtype and fetal growth restriction (FGR). Method: Medical records of 126 women with early-onset preeclampsia (≤33 6/7 weeks' gestation), 126 women with late-onset preeclampsia (≥34 0/7 weeks' gestation), and 259 controls who gave birth between January 2012 and June 2016 were retrospectively abstracted from a large suburban tertiary referral center in South Central Pennsylvania for this hospital-based case–control study. Results: Women with AB blood type had >3 times the odds of late-onset preeclampsia (odds ratio [ OR ] = 3.35, 95% confidence interval (CI) = [1.02, 11.05]) compared to those with O blood type. Among women with early-onset preeclampsia, those with B blood type had 5 times the odds of having a growth-restricted fetus than did women with O blood type (OR = 5.44, 95% CI [1.65, 17.94]). Discussion: Our findings suggest that AB blood type may be an important risk factor for late-onset preeclampsia and that among women with early-onset preeclampsia, those with B blood type have increased odds of FGR. These findings warrant further study in women and their offspring to identify the pathophysiologic processes that may link ABO blood type, preeclampsia subtype, and FGR.

PENNSYLVANIA; ABO blood group system; CHI-squared test; FETAL growth retardation; GESTATIONAL age; PREECLAMPSIA; RESEARCH funding; STATISTICS; LOGISTIC regression analysis; DATA analysis; BODY mass index; RETROSPECTIVE studies; CASE-control method; DATA analysis software; ELECTRONIC health records; DESCRIPTIVE statistics; BLOOD grouping & crossmatching; TERTIARY care; ODDS ratio; ONE-way analysis of variance

Biological Research for Nursing, 2019, Vol 21, Issue 3, p264

1099-8004

Academic Journal

10.1177/1099800419833782