Rising frailty flags one-year death risk
Rapid monthly rises in the electronic frailty index marked older adults twice as likely to die within a year, with high specificity.
Source
Frailty trajectories to identify end of life: a longitudinal population-based study
Study at a glance
- Design
- Cohort — English primary-care EHR; monthly eFI trajectories before death vs matched controls
- N
- N=26298 · 13,149 decedents and 13,149 matched controls
- Population
- English primary-care patients with electronic frailty index trajectories
- Outcome
- 12-month mortality risk by rapidly rising vs stable frailty class
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Rising frailty flags one-year death risk
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26,298 individuals analyzed (13,149 cases/controls).
This study analysed information on 26,298 individuals (13,149 cases and 13,149 controls), 14,620 (55.6%) of whom were female and 11,678 (44.4%) were male.
What clinical use did authors claim?
This longitudinal population-based study demonstrates that it is possible to use a frailty index calculated within electronic healthcare records to identify people who are at a higher risk of dying within 1 year.
What they did
Using English primary-care EHR data, researchers compared monthly eFI trajectories for 13,149 decedents and matched controls (n=26,298) over the year before death or a pseudo-end date.
What they found
Rapidly rising frailty (≈0.01 eFI/month) doubled 12-month death risk vs stable frailty; reweighted, this class (~1.1% of population) predicted 1-year mortality with 99.1% specificity.
The limits
What it doesn't show
That eFI alone should replace clinical judgment, or that intervening on trajectory class improves end-of-life care outcomes.
Key terms
- eFI
- Electronic Frailty Index from primary-care deficit codes (0–1 scale).
- Frailty trajectory
- Change in eFI over monthly intervals before death.
- Specificity
- True-negative rate when using rapidly rising frailty to flag 1-year death.
- PPV/NPV
- Positive/negative predictive values of the rapid-rise class.
- Deficit accumulation
- Counting clinical deficits to quantify frailty burden.
- End-of-life identification
- Recognizing patients who may need palliative planning within a year.
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Rapidly rising frailty death risk:
Common questions
How large was the sample?
26,298 people (13,149 cases and controls).
What defined rapidly rising frailty?
About 0.01 eFI rise per month (~0.4 deficits).
How much higher was death risk?
About twice vs stable frailty within 12 months.
How specific was the rapid-rise flag?
99.1% specificity (PPV 19.8%, NPV 93.3%).
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