Abstract P3076: Incident hypertension by biomarker patterns: REasons for Geographic and Racial Differences in Stroke (REGARDS) stud

T Timothy Plante (University of Vermont, Colchester, Vermont, United States) A Annie Green Howard S Stephen Juraschek (BIDMC-Harvard Medical School, Boston, Massachusetts, United States) K Kathryn Foti (University of Alabama at Birmingham, Birmingham, Alabama, United States) M Mary Cushman V Virginia Howard (University of Alabama at Birmingham, Birmingham, Alabama, United States) G George Howard (Department of Biostatistics, University of Alabama at Birmingham, Birmingham) N Nels Olson (Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States) L Leann Long (Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States) P Paul Muntner (Perisphere real world evidence, Austin, Texas, United States) S Suzanne Judd (University of Alabama at Birmingham, Birmingham, Alabama, United States)

Abstract

Background: We recently empirically identified 3 novel patterns of cardiovascular risk factor biomarkers with factor analysis: Renal-inflammatory, thrombo-inflammatory, and dyslipidemic-inflammatory. Hypertension is a major cardiovascular disease risk factor. Whether these patterns are associated with incident hypertension are unknown. Objectives: To determine the association between novel risk patterns and incident hypertension. Methods: REGARDS recruited 30,239 Black and White adults from the 48 contiguous US states in 2003-2007 with a second visit in 2013-2016. Baseline fasting lipids, C-reactive protein (CRP), cystatin C, urine albumin/creatinine ratio, blood urea nitrogen (BUN), complete blood count, and serum albumin were measured in all or most participants. A robust set of other baseline biomarkers was measured in a sex-race stratified sample of 4,400 participants who attended both visits. Factor scores for each pattern were developed and applied to each of the 2,723 participants with all available baseline biomarkers. Hypertension was defined as baseline blood pressure (BP) ≥140/90 mm Hg or self-reported use of antihypertensive medications. We excluded participants with prevalent hypertension. Tertiles of each factor score were computed in the analytical population. Modified Poisson regression estimated the adjusted relative risk (RR) of incident hypertension by factor pattern tertile, testing for pairwise interactions between each factor. Because of a significant thrombo-inflammatory*dyslipidemic-inflammatory interaction on hypertension (P=0.06; interaction significance threshold <0.10), these groups were stratified across each other’s tertiles. Results: Among the 1,223 included (mean [SD] age 61 [8] years, 25% Black race, 64% women), 34% developed incident hypertension. There was no difference in age, sex, race, or baseline systolic BP-adjusted RR of hypertension by tertile of the renal-inflammatory pattern ( Figure ). Relative to the lowest tertile combination, there was a higher RR of incident hypertension across higher dyslipidemic- and thrombo-inflammatory pattern tertiles (3 rd tertile of each: RR 1.67; 1.10 to 2.52). Discussion: Among Black and White adults, thrombo-inflammatory and dyslipidemic-inflammatory biomarker patterns were strongly associated with incident hypertension. Behavioral or medical therapies targeting specific biological pathways represented by these patterns may provide targets to prevent hypertension and its sequelae.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (11)

T

Timothy Plante

University of Vermont, Colchester, Vermont, United States

A

Annie Green Howard

S

Stephen Juraschek

BIDMC-Harvard Medical School, Boston, Massachusetts, United States

K

Kathryn Foti

University of Alabama at Birmingham, Birmingham, Alabama, United States

M

Mary Cushman

V

Virginia Howard

University of Alabama at Birmingham, Birmingham, Alabama, United States

G

George Howard

Department of Biostatistics, University of Alabama at Birmingham, Birmingham

N

Nels Olson

Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States

L

Leann Long

Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States

P

Paul Muntner

Perisphere real world evidence, Austin, Texas, United States

S

Suzanne Judd

University of Alabama at Birmingham, Birmingham, Alabama, United States