Abstract 4338384: Cardiovascular and Kidney Events Associated with Hypertension Screening Algorithms Among Young and Middle-Aged Adults

K Kavenpreet Bal (Kaiser Permanente School of Medicine, Pasadena, California, United States) Y Yiyi Zhang (Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences, Laboratory for Inorganic Chemical Biology) K Katherine Pak (Kaiser Permanente, Pasadena, California, United States) L Liang Ni (Kaiser Permanente, Pasadena, California, United States) H Heidi Fischer S Soonie Choi (Kaiser Permanente, Pasadena, California, United States) K Kerresa Morrissette (Kaiser Permanente, Pasadena, California, United States) S Stanley Xu (Kaiser Permanente, Pasadena, California, United States) J Jeff Brettler (Kaiser Permanente School of Medicine, Pasadena, California, United States) K Kristi Reynolds (Kaiser Permanente Southern California, Pasadena, California, United States) J Jaejin An (Kaiser Permanente, Pasadena, California, United States)

Abstract

Introduction: Multiple screening algorithms exist for detecting undiagnosed hypertension, but hypertension-related outcomes across algorithms are unexplored, limiting universal implementation. Research Question: What is the association between different hypertension screening algorithms and increased risks of cardiovascular and kidney events among young and middle-aged adults without a prior hypertension diagnosis? Methods: We identified young (18-39 years) and middle-aged (40-64 years) individuals without prior hypertension diagnosis from Kaiser Permanente Southern California from 2009 to 2019. We applied three hypertension screening algorithms based on outpatient blood pressure (BP) measurements from separate visits that met high BP criteria (≥140/90 mm Hg) within 2 years: (1) the average of two BPs, (2) the average of three BPs, and (3) two consecutive BPs. If individuals had multiple BP measures during the same visit, the lowest BP recorded was used in the primary analysis; a sensitivity analysis used the average BP per visit. We used a composite outcome of cardiovascular and kidney events, including myocardial infarction, stroke, heart failure, chronic kidney disease, and macroalbuminuria. Cox proportional hazard models identified associations between each hypertension screening algorithm and the composite outcome, adjusting for covariates in young and middle-aged adults. Results: Of the 300,892 young adults included, 1.9-5.3% met the screening algorithm criteria, compared to 4.3-13.1% of 271,045 middle-aged adults (Table). All algorithms were associated with an increased risk of the composite outcome, with adjusted hazard ratios (aHR) ranging from 2.7 to 3.9 in young adults and 1.5 to 1.9 in middle-aged adults, though confidence intervals overlapped across algorithms. Among young adults, the algorithm using two consecutive high BPs and the lowest BP per visit was associated with the highest risk (aHR 3.9, 95% CI 3.2, 4.7), whereas among middle-aged adults, the average of three BPs using the lowest BP per visit was associated with the highest risk (aHR 1.9, 95% CI 1.8, 2.1). Conclusion: Despite identifying varying numbers of individuals with high BP, all screening algorithms were associated with an increased risk of cardiovascular and kidney events with similar magnitudes of risk in young and middle-aged adults. These findings support using these algorithms for risk monitoring and timely diagnosis of hypertension to prevent future cardiovascular and kidney events.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (11)

K

Kavenpreet Bal

Kaiser Permanente School of Medicine, Pasadena, California, United States

Y

Yiyi Zhang

Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences, Laboratory for Inorganic Chemical Biology

K

Katherine Pak

Kaiser Permanente, Pasadena, California, United States

L

Liang Ni

Kaiser Permanente, Pasadena, California, United States

H

Heidi Fischer

S

Soonie Choi

Kaiser Permanente, Pasadena, California, United States

K

Kerresa Morrissette

Kaiser Permanente, Pasadena, California, United States

S

Stanley Xu

Kaiser Permanente, Pasadena, California, United States

J

Jeff Brettler

Kaiser Permanente School of Medicine, Pasadena, California, United States

K

Kristi Reynolds

Kaiser Permanente Southern California, Pasadena, California, United States

J

Jaejin An

Kaiser Permanente, Pasadena, California, United States