Evaluation of the FI-Lab, a laboratory-based, automated frailty index for acute care: A multicohort study
A simple frailty score from routine blood tests was strongly associated with death and hospital use.
*Retrospective multicohort prognostic study; Level 2b (OCEBM).
Citation
Logan Ellis H, Hanlon P, Dunnell L, Whyte M, Davis DHJ, Bates J, et al. Evaluation of the FI-Lab, a laboratory-based, automated frailty index for acute care: A multicohort study. PLoS Medicine. 2026;23(9):e1005004.
Background
Clinicians need quick ways to estimate how vulnerable a patient is, especially in acute care. This study tested whether abnormal routine blood results can provide an automated measure of vulnerability across adult ages.
Patients
Adults from emergency department cohorts in Boston and London, plus United Kingdom Biobank participants. Patients without linkable same-day blood tests and implausible records were excluded.
Intervention
Laboratory frailty index: proportion of abnormal results from commonly ordered tests; main version used 25 tests with at least 15 required.
Control
Age, sex, and, in emergency cohorts, National Early Warning Score 2.
Outcome
Primary: 1-year all-cause mortality. Secondary: hospital admission, in-hospital death, readmission, and length of stay.
Follow-up Period
Up to 1 year; United Kingdom Biobank also assessed 10-year mortality.
Results
| Outcome | Cohort | Laboratory frailty index result |
|---|---|---|
| 1-year mortality (primary) | Boston emergency department | HR 2.04 (95% CI 1.99 to 2.09) |
| 1-year mortality (primary) | London emergency department | HR 2.55 (95% CI 2.42 to 2.69) |
| 1-year mortality (primary) | United Kingdom Biobank | HR 1.87 (95% CI 1.80 to 1.94) |
| 30-day readmission | Boston; London | HR 1.32 (95% CI 1.30 to 1.33); HR 1.35 (95% CI 1.33 to 1.36) |
HR = hazard ratio; CI = confidence interval.
The score’s association with death approached age and exceeded the early warning score. Results were based on observational data, not a treatment trial.
Limitations
Retrospective design cannot prove improved care. Data came from high-income settings with mature electronic records. Test ordering may reflect clinician judgment and illness severity. Real-time clinical benefit remains untested.
Funding
Academic/public funders; no funder role. Frailty-scale licensing conflicts noted.
Clinical Application
Consider FI-Lab as an automated risk-context tool, not a replacement for judgment; prospective testing is needed before practice standards change.
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