The American College of Cardiology/American Heart Association classification of chronic hypertension in pregnancy has better clinical applicability and risk assessment than the traditional severe and mild hypertension approach – lessons from a popula

BACKGROUND: Chronic hypertension (CHTN) increases the risk of superimposed preeclampsia, contributing to maternal and neonatal morbidity and mortality. Accurate hypertension classification is therefore essential for risk stratification, antenatal surveillance, prevention, and outcomes. The clinical impact of applying the American College of Cardiology/American Heart Association (ACC/AHA) classification, compared with the American College of Obstetricians and Gynecologists (ACOG) criteria, in pregnancy remains uncertain. OBJECTIVE: To determine the impact of ACC/AHA versus ACOG hypertension classifications on the prevalence of CHTN and pregnancy outcomes. STUDY DESIGN: = 136,606). CHTN was categorized according to ACOG and ACC/AHA criteria. Maternal, fetal, and neonatal outcomes were assessed. Statistical analyses were performed using R-Studio, with ANOVA and Poisson regression models evaluating associations between CHTN severity and outcomes. RESULTS: < 0.001). Under ACOG classification, both mild and severe range CHTN were independently associated with preeclampsia or eclampsia (RR 4.15, 95% CI 3.69-4.65; and RR 3.19, 95% CI 2.82-3.59, respectively). Using ACC/AHA criteria, elevated blood pressure (EBP), stage 1 CHTN (S1CHTN), and stage 2 CHTN (S2CHTN) were each independently associated with preeclampsia or eclampsia (EBP: RR 2.34, 95% CI 2.04-2.65; S1CHTN: RR 4.00, 95% CI 3.56-4.50; S2CHTN: RR 3.32, 95% CI 2.88-3.80). Mild CHTN, S1CHTN, and S2CHTN were independently associated with small-for-gestational-age neonates, while both ACOG-defined CHTN and ACC/AHA-defined EBP, S1CHTN, and S2CHTN were associated with preterm birth. CONCLUSION: Application of the ACC/AHA classification identifies a larger proportion of pregnant individuals as having CHTN. Notably, even those with elevated blood pressure had a two-fold increased risk of preeclampsia compared with the general obstetric population. These findings support the clinical relevance of the ACC/AHA classification in pregnancy and suggest that its implementation may improve identification of patients who may benefit from targeted preeclampsia prevention strategies.

Authors

Institutions

Publication Details

Journal
The Journal of Maternal-Fetal & Neonatal Medicine
Published
2026-11-03
DOI
https://doi.org/10.1080/14767058.2026.2710939
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The American College of Cardiology/American Heart Association classification of chronic hypertension in pregnancy has better clinical applicability and risk assessment than the traditional severe and mild hypertension approach – lessons from a popula

Alex Rabinovich, Adi Shiloh, Offer Erez, Etty Speigel et al.
The Journal of Maternal-Fetal & Neonatal Medicine
Pregnancy and preeclampsia studies
article

The American College of Cardiology/American Heart Association classification of chronic hypertension in pregnancy has better clinical applicability and risk assessment than the traditional severe and mild hypertension approach – lessons from a popula

Alex Rabinovich, Adi Shiloh, Offer Erez, Etty Speigel, Sujood Dar Diab
article en

Abstract

BACKGROUND: Chronic hypertension (CHTN) increases the risk of superimposed preeclampsia, contributing to maternal and neonatal morbidity and mortality. Accurate hypertension classification is therefore essential for risk stratification, antenatal surveillance, prevention, and outcomes. The clinical impact of applying the American College of Cardiology/American Heart Association (ACC/AHA) classification, compared with the American College of Obstetricians and Gynecologists (ACOG) criteria, in pregnancy remains uncertain. OBJECTIVE: To determine the impact of ACC/AHA versus ACOG hypertension classifications on the prevalence of CHTN and pregnancy outcomes. STUDY DESIGN: = 136,606). CHTN was categorized according to ACOG and ACC/AHA criteria. Maternal, fetal, and neonatal outcomes were assessed. Statistical analyses were performed using R-Studio, with ANOVA and Poisson regression models evaluating associations between CHTN severity and outcomes. RESULTS: < 0.001). Under ACOG classification, both mild and severe range CHTN were independently associated with preeclampsia or eclampsia (RR 4.15, 95% CI 3.69-4.65; and RR 3.19, 95% CI 2.82-3.59, respectively). Using ACC/AHA criteria, elevated blood pressure (EBP), stage 1 CHTN (S1CHTN), and stage 2 CHTN (S2CHTN) were each independently associated with preeclampsia or eclampsia (EBP: RR 2.34, 95% CI 2.04-2.65; S1CHTN: RR 4.00, 95% CI 3.56-4.50; S2CHTN: RR 3.32, 95% CI 2.88-3.80). Mild CHTN, S1CHTN, and S2CHTN were independently associated with small-for-gestational-age neonates, while both ACOG-defined CHTN and ACC/AHA-defined EBP, S1CHTN, and S2CHTN were associated with preterm birth. CONCLUSION: Application of the ACC/AHA classification identifies a larger proportion of pregnant individuals as having CHTN. Notably, even those with elevated blood pressure had a two-fold increased risk of preeclampsia compared with the general obstetric population. These findings support the clinical relevance of the ACC/AHA classification in pregnancy and suggest that its implementation may improve identification of patients who may benefit from targeted preeclampsia prevention strategies.

The Journal of Maternal-Fetal & Neonatal MedicineVol. 39(1)
Ben-Gurion University of the Negev (IL), Wayne State University (US), Soroka Medical Center (IL), Hutzel Women's Hospital (US), Clalit Health Services (IL)
Openalex Percentile: Top 9%
Pregnancy and preeclampsia studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon