{
  "id": 4918318,
  "title": "Evaluation of the FI-Lab, a laboratory-based, automated frailty index for acute care: A multicohort study",
  "url": "https://urgent.news/2026/09/01/evaluation-of-the-fi-lab-a-laboratory-based-automated-frailty-index",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-09-01T14:00:00.000Z",
  "source": {
    "name": "PLOS Medicine",
    "slug": "plos-medicine",
    "url": "https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1005004"
  },
  "original_language": "en",
  "account": "A recent study has investigated the effectiveness of a laboratory-based frailty index known as the FI-Lab in acute care settings. This multicohort study aimed to determine the optimal configuration of an FI-Lab and evaluate its ability to measure latent health status across the entire adult life span.\n\nThe researchers analyzed emergency department encounters in Boston, USA (MIMIC-IV-ED; 2011-2019) and London, UK (King's College Hospital; 2017-2020), as well as a community-based cohort in the UK (UK Biobank; 2006-2010). The primary outcome of interest was 1-year all-cause mortality.\n\nThe study found that a FI-Lab constructed from 25 commonly ordered tests, with a minimum threshold of 15 tests, demonstrated hazard ratios for 1-year mortality that were nearly identical to those of chronological age and surpassed the National Early Warning Score 2 (NEWS2). In combined models, each standard deviation increase in the FI-Lab score was associated with a 2.00-fold higher hazard ratio for 1-year mortality (95% CI [1.99, 2.09]; p < 0.001).\n\nThe findings suggest that the FI-Lab offers an automated and scalable measure of patient vulnerability that is robust across different healthcare settings and populations. The study concludes that a core set of 20-40 commonly ordered tests is sufficient for capturing meaningful signals. This automated approach provides a pragmatic complement to clinical judgment, eliminating the need for manual data entry or additional tests.",
  "summary": "by Hugh Logan Ellis, Peter Hanlon, Liam Dunnell, Martin Whyte, Daniel H. J. Davis, Josephine Bates, Adeel Jafri, Diana Shamsutdinova, James T. Teo, Zina Ibrahim, Kenneth Rockwood Background Laboratory-based frailty indices (FI-Lab) have shown promise in geriatric medicine research. We aimed, in diverse samples, to determine the optimal construction of an FI-Lab for acute care and evaluate its…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}