Metabolism Open

Heart-health measures linked to distinct blood chemical patterns

An observational study followed 1,218 adults for an average 10.2 years and linked eight modified heart-health measures to different blood chemical patterns.

Paper by Ian M. Pollack, Jiaxuan Duan, Justin Swanson, +4 more authorsAnum Saeed · University of Pittsburgh

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Biomarkers
Studied:
Cohort study of 1,218 Pennsylvania adults, average 10.2 years
What changed:
Different modified heart-health measures were linked to distinct blood chemical patterns
The catch:
Heart-health scores differed from standard measures
Why it’s aging research:
It builds or tests a tool for aging research.

Editor of record: Boris Djordjevic · AgingResearch.News

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In an observational cohort study, researchers analyzed 1,218 Pennsylvania adults recruited at ages 45–75. Their mean age was 59.1 years; 67.1% were women and 39.2% self-identified as Black. They linked modified versions of eight American Heart Association heart-health measures to distinct patterns among 987 blood chemicals.

They also developed “metabolic age,” an age estimate based on those chemicals. Among adults aged 65 or older, each additional year of metabolic age relative to actual age was associated with a higher relative rate of major adverse events (hazard ratio 1.10), after accounting for other measured factors. This outcome combined cardiovascular events and death from any cause. The association with cardiovascular disease events alone was less clear. Over an average 10.2 years, 6.7% of the full cohort had cardiovascular disease events and 12.8% had major adverse events.

Why it matters

The work addresses whether blood chemistry can add information about cardiovascular risk in older adults beyond familiar heart-health measures.

Caveats

This observational study cannot show cause and effect, and its population was limited to adults recruited at ages 45–75. The heart-health scores differed from standard measures, and the cardiovascular-disease estimate in older adults had a range of likely values that included no difference.

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