Evaluating frailty scores to predict mortality in older adults using data from population based electronic health records: case control study.
Matthews, Fiona E
De Biase, Sarah
Age and ageing
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Stow, D., Matthews, F. E., Barclay, S., Iliffe, S., Clegg, A., De Biase, S., Robinson, L., & et al. (2018). Evaluating frailty scores to predict mortality in older adults using data from population based electronic health records: case control study.. Age and ageing, 47 (4), 564-569. https://doi.org/10.1093/ageing/afy022
Background: recognising that a patient is nearing the end of life is essential, to enable professional carers to discuss prognosis and preferences for end of life care. Objective: investigate whether an electronic frailty index (eFI) generated from routinely collected data, can be used to predict mortality at an individual level. Design: historical prospective case control study. Setting: UK primary care electronic health records. Subjects: 13,149 individuals age 75 and over who died between 01/01/2015 and 01/01/2016, 1:1 matched by age and sex to individuals with no record of death in the same time period. Methods: two subsamples were randomly selected to enable development and validation of the association between eFI 3 months prior to death and mortality. Receiver operator characteristic (ROC) analyses were used to examine diagnostic accuracy of eFI at 3 months prior to death. Results: an eFI > 0.19 predicted mortality in the development sample at 75% sensitivity and 69% area under received operating curve (AUC). In the validation dataset this cut point gave 76% sensitivity, 53% specificity. Conclusions: the eFI measured at a single time point has low predictive value for individual risk of death, even 3 months prior to death. Although the eFI is a strong predictor or mortality at a population level, its use for individuals is far less clear.
Humans, Prognosis, Geriatric Assessment, Severity of Illness Index, Risk Assessment, Risk Factors, Case-Control Studies, Prospective Studies, Reproducibility of Results, Predictive Value of Tests, Age Factors, Aging, Time Factors, Aged, Aged, 80 and over, Female, Male, Electronic Health Records, United Kingdom, Frailty
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External DOI: https://doi.org/10.1093/ageing/afy022
This record's URL: https://www.repository.cam.ac.uk/handle/1810/271862
Attribution-NonCommercial 4.0 International
Licence URL: http://creativecommons.org/licenses/by-nc/4.0/