Evidence Passport
AI flags older heart-failure patients at risk of decline
Top story 8 in the issue of 22 October 2026, in 16 AI Geriatric.
Original source
AI flags older heart-failure patients at risk of decline
In more than 6,000 patients aged 65 and over in rehabilitation (median age 82), a 77-factor model predicted one-year functional decline or death better than the Kihon Checklist; 32.5% declined and over 14% died.
Evidence
Evidence: Peer-reviewed (evidence step 5 of 6)
Published after review by independent experts.
The story in three lines
- Key finding
- A 77-factor model beat the Kihon Checklist at predicting one-year decline or death in 6,000+ older heart-failure patients.
- Significance
- Clinical: shifts the question from survival to keeping independence after discharge.
- Takeaway
- Useful for planning rehabilitation; needs testing outside Japan before wider use.
Study details (as stated by the source)
- Sample size
- More than 6,000 patients aged 65 or over
- Comparator
- Kihon Checklist
- Outcomes
- One-year functional maintenance, functional decline or death
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