Abstract 4146439: Predictors of Cardiovascular-Kidney-Metabolic (CKM) Syndrome Progression Among Atherosclerosis Risk in Communities (ARIC) Study Participants

Background: Progression along Cardiovascular-Kidney-Metabolic (CKM) stages confers greater cardiovascular disease (CVD) risk. However, the factors associated with CKM stage progression over time are not yet defined. Methods: We evaluated ARIC Visit 4 (1996-98) participants without CVD at Visit 1 (1987-89) and with available data to define CKM stages at both Visits 1 and 4. CKM stages were defined as: stage 0, no CKM risk factors; stage 1, excess/dysfunctional adiposity; stage 2, metabolic risk factors (hypertriglyceridemia, hypertension, metabolic syndrome, or diabetes) and/or moderate- to high-risk chronic kidney disease (CKD); stage 3, ≥20% predicted CVD risk per the PREVENT calculator or very high-risk CKD; and stage 4, clinical CVD. Among those in CKM stages 0-3 at Visit 1, we used logistic regression to concurrently assess the association of age, sex, race, area deprivation index (ADI, a measure of neighborhood deprivation), education, household income, physical activity (categorized as consistently ideal, intermediate, or consistently poor per AHA recommendations), and diet (per Life’s Essential 8 healthy diet score) with progression to a higher CKM stage from Visit 1 to Visit 4. Results: Among 8,376 participants, the mean age at Visit 1 was 55 years, with 52% female and 21% Black adults. Older individuals had higher odds of CKM progression (OR: 1.49 [95% CI 1.42-1.56] per 5-years of age), whereas females had lower odds (OR: 0.72 [0.64-0.80]) and Black race did not have an independent association ( Figure ). More adverse social determinants of health were associated with higher odds of CKM progression, including higher ADI (deciles 7-10 vs deciles 1-3 OR: 1.39 [1.23-1.57]), lower income (<$12,000 vs ≥$50,000 OR: 1.40 [1.12-1.75]) and less education (grade school vs graduate school OR: 1.36 [1.10-1.67]). Higher physical activity levels were associated with lower odds of CKM progression (ideal vs poor OR: 0.82 [0.70-0.96]), while healthy diet score was not significantly associated with CKM stage progression. Conclusion: Several sociodemographic and behavioral factors are associated with CKM stage progression. This understanding can help to guide population strategies to preserve and improve CKM health.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4146439
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4146439: Predictors of Cardiovascular-Kidney-Metabolic (CKM) Syndrome Progression Among Atherosclerosis Risk in Communities (ARIC) Study Participants

Chiadi E. Ndumele, Joseph Coresh, Bige Özkan, Christie Mitchell Ballantyne et al.
1 links
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4146439: Predictors of Cardiovascular-Kidney-Metabolic (CKM) Syndrome Progression Among Atherosclerosis Risk in Communities (ARIC) Study Participants

Chiadi E. Ndumele, Joseph Coresh, Bige Özkan, Christie Mitchell Ballantyne, Matthew J. Belanger, Vijay Nambi, Sadiya S. Khan, Roger S. Blumenthal, Janani Rangaswami, Justin Echouffo, Sui Zhang
article en

Abstract

Background: Progression along Cardiovascular-Kidney-Metabolic (CKM) stages confers greater cardiovascular disease (CVD) risk. However, the factors associated with CKM stage progression over time are not yet defined. Methods: We evaluated ARIC Visit 4 (1996-98) participants without CVD at Visit 1 (1987-89) and with available data to define CKM stages at both Visits 1 and 4. CKM stages were defined as: stage 0, no CKM risk factors; stage 1, excess/dysfunctional adiposity; stage 2, metabolic risk factors (hypertriglyceridemia, hypertension, metabolic syndrome, or diabetes) and/or moderate- to high-risk chronic kidney disease (CKD); stage 3, ≥20% predicted CVD risk per the PREVENT calculator or very high-risk CKD; and stage 4, clinical CVD. Among those in CKM stages 0-3 at Visit 1, we used logistic regression to concurrently assess the association of age, sex, race, area deprivation index (ADI, a measure of neighborhood deprivation), education, household income, physical activity (categorized as consistently ideal, intermediate, or consistently poor per AHA recommendations), and diet (per Life’s Essential 8 healthy diet score) with progression to a higher CKM stage from Visit 1 to Visit 4. Results: Among 8,376 participants, the mean age at Visit 1 was 55 years, with 52% female and 21% Black adults. Older individuals had higher odds of CKM progression (OR: 1.49 [95% CI 1.42-1.56] per 5-years of age), whereas females had lower odds (OR: 0.72 [0.64-0.80]) and Black race did not have an independent association ( Figure ). More adverse social determinants of health were associated with higher odds of CKM progression, including higher ADI (deciles 7-10 vs deciles 1-3 OR: 1.39 [1.23-1.57]), lower income (<$12,000 vs ≥$50,000 OR: 1.40 [1.12-1.75]) and less education (grade school vs graduate school OR: 1.36 [1.10-1.67]). Higher physical activity levels were associated with lower odds of CKM progression (ideal vs poor OR: 0.82 [0.70-0.96]), while healthy diet score was not significantly associated with CKM stage progression. Conclusion: Several sociodemographic and behavioral factors are associated with CKM stage progression. This understanding can help to guide population strategies to preserve and improve CKM health.

CirculationVol. 150(Suppl_1)
Northwestern University (US), Michael E. DeBakey VA Medical Center (US), Johns Hopkins University (US), Baylor College of Medicine (US), George Washington University (US), Johns Hopkins Hospital (US)
No poverty
Openalex Percentile: Top 61%
Cardiovascular Health and Risk Factors
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.