Table 2 ORs for the association between cardiovascular events and AI-ECG-based aging effects

From: Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

Cardiovascular event

Overestimation

Underestimation

 

OR (95% CI)

p-value

OR (95% CI)

p-value

AF diagnosed

2.72 (2.02, 3.65)

< 0.001

0.22 (0.10, 0.48)

< 0.001

Will develop AF

1.69 (1.20, 2.38)

0.003

0.37 (0.19, 0.72)

0.004

HF diagnosed

1.39 (1.20, 1.62)

< 0.001

0.78 (0.65, 0.95)

0.011

Will develop HF

1.40 (1.11, 1.78)

0.005

1.00 (0.75, 1.33)

0.997

MI diagnosed

1.27 (1.04, 1.56)

0.022

0.60 (0.44, 0.83)

0.002

Will develop MI

1.10 (0.73, 1.65)

0.653

1.24 (0.89, 1.75)

0.209

Died within study

1.47 (1.29, 1.67)

< 0.001

0.55 (0.46, 0.65)

< 0.001

  1. The analysis includes conditions such as the diagnosis and future development (diagnosed during follow-up) of AF, HF, MI, as well as mortality (“Died within study”). Results are adjusted for chronological age, sex, diagnosed hypertension, hyperlipidemia, diabetes, and medications that affect ECG signals, including beta blockers, calcium channel blockers, and antiarrhythmics.
Back to article page