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Research

Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results

Hugh Logan Ellis, Bettina Wan, Michael Yeung, Arshad Rather, Imran Mannan, Catherine Bond, Catherine Harvey, Nadia Raja, Peter Dutey-Magni, Kenneth Rockwood, Daniel Davis and Samuel D. Searle
CMAJ January 06, 2020 192 (1) E3-E8; DOI: https://doi.org/10.1503/cmaj.190952
Hugh Logan Ellis
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Bettina Wan
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Michael Yeung
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Arshad Rather
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Imran Mannan
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Catherine Bond
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Catherine Harvey
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Nadia Raja
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Peter Dutey-Magni
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Kenneth Rockwood
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Daniel Davis
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Samuel D. Searle
University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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Abstract

BACKGROUND: Acutely ill and frail older adults have complex social and health care needs. It is important to understand how this complexity affects acute outcomes for admission to hospital. We validated a frailty index using routine admission laboratory tests with outcomes after patients were admitted to hospital.

METHODS: In a prospective cohort of older adults admitted to a large tertiary hospital in the United Kingdom, we created a frailty index from routine admission laboratory investigations (FI-Laboratory) linked to data comprising hospital outcomes. We evaluated the association between the FI-Laboratory and total days spent in hospital, discharge to a higher level of care, readmission and mortality.

RESULTS: Of 2552 admissions among 1750 older adults, we were able to generate FI-Laboratory values for 2254 admissions (88.3% of the cohort). More than half of admitted patients were women (55.3%) and the mean age was 84.6 (SD 14.0) years. We found that the FI-Laboratory correlated weakly with the Clinical Frailty Scale (CFS; r2 = 0.09). An increase in the CFS and the equivalent of 3 additional abnormal laboratory test results in the FI-Laboratory, respectively, were associated with an increased proportion of inpatient days (rate ratios [RRs] 1.43, 95% confidence interval [CI] 1.35–1.52; and 1.47, 95% CI 1.41–1.54), discharge to a higher level of care (odd ratios [ORs] 1.39, 95% CI 1.27–1.52; and 1.30, 95% CI 1.16–1.47) and increased readmission rate (hazard ratios [HRs] 1.26, 95% CI 1.17–1.37; and 1.18, 95% CI 1.11–1.26). Increases in the CFS and FI-Laboratory were associated with increased mortality HRs of 1.39 (95% CI 1.28–1.51) and 1.45 (95% CI 1.37–1.54), respectively.

INTERPRETATION: We determined that FI-Laboratory, distinct from baseline frailty, could be used to predict risk of many adverse outcomes. The score is therefore a useful way to quantify the degree of acute illness in frail older adults.

  • Accepted November 8, 2019.
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Canadian Medical Association Journal: 192 (1)
CMAJ
Vol. 192, Issue 1
6 Jan 2020
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Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results
Hugh Logan Ellis, Bettina Wan, Michael Yeung, Arshad Rather, Imran Mannan, Catherine Bond, Catherine Harvey, Nadia Raja, Peter Dutey-Magni, Kenneth Rockwood, Daniel Davis, Samuel D. Searle
CMAJ Jan 2020, 192 (1) E3-E8; DOI: 10.1503/cmaj.190952

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Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results
Hugh Logan Ellis, Bettina Wan, Michael Yeung, Arshad Rather, Imran Mannan, Catherine Bond, Catherine Harvey, Nadia Raja, Peter Dutey-Magni, Kenneth Rockwood, Daniel Davis, Samuel D. Searle
CMAJ Jan 2020, 192 (1) E3-E8; DOI: 10.1503/cmaj.190952
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