medRxivJClub
Physiological Waveform Features Based Aging Clocks Associate with Cardiovascular Disease
medRxiv · · Preprint · Open access
Pal, Barney + 1 more
Abstract ↗AI summary
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LightGBM-based aging clocks from high-fidelity PPG and ABP waveform features predict age with r=0.92 and R-squared 0.81–0.82 in 17,327 perioperative surgical patients.
- Why it matters: Age-related changes in waveform morphology may reflect cardiovascular health, but it is unclear whether ML-derived age discrepancy can flag cardiovascular disease risk.
- What they did: Using over 840 per–cardiac-cycle time-, frequency-, and statistical-domain features from PPG or ABP, the study trained PPGAge and ABPAge and computed Age-Gap categories versus model-specific MAE.
- The result: Accelerated aging (Age-Gap ≥ +MAE) is linked to higher CVD odds for PPGAge (OR 1.87, p<0.001) and ABPAge (OR 2.28, p<0.001), while delayed aging is linked to lower CVD odds for PPGAge (OR 0.68, p<0.001).
The findingWhy it mattersWhat they didThe result
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