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- W2624100061 abstract "Objective: To identify the elderly population attended in primary health care with more risk of becoming dependent for activities of daily living. Methods: A longitudinal study, based on data recorded in the medical record of people from 75 years old. We constructed a Cox models to determine the risk of becoming dependent on the follow up. The discrimination capacity of the model was estimated with the concordance index. Results: The model showed as predictors of dependency: the mental impairment, according to the Pfeiffer test, severe (HR: 3,02; 95% CI 2,03-4,49) or moderate (HR: 1,35; 95% CI 1,08 to 1,68), homecare situation (HR: 1,82; 95% CI 1,44 to 2,31) and to have recorded history of falls (HR: 1,51; 95% CI 1,20 to 1,90). The C index of the derivation model was 0,72 (95% CI 0,68 to 0,76). Conclusions: The model accurately predicts patients most likely to be dependent" @default.
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- W2624100061 date "2016-07-01" @default.
- W2624100061 modified "2023-09-28" @default.
- W2624100061 title "Predicción de dependencia en ancianos atendidos en atención primaria = Prediction of dependency in the elderly attended in primary health care" @default.
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