ABSTRACT
OBJECTIVE: To assess the risk of functional decline (DF) by using several prediction scales. MATERIAL AND METHODS: A multicentre, observational, cross-sectional study was conducted on a population of 70 years or more in the health area of ??Toledo. Institutionalised, terminal ill, and patients dependent for three or more basic activities of daily life, were excluded. The sample (480 patients) was calculated for an estimated DF prevalence of 15%, accuracy 2%, confidence level 95%, and 10% of estimated losses. Stratified sampling; first by conglomerates (Health Centres) and then systematic sampling (1/15) by list of patients ordered by age. Response rate: 98%. VARIABLES: Sociodemographic, morbidity, questionnaires to assess the functional capacity for basic activities (Katz index), and tools (Lawton-Brody index) of daily life and risk prediction rules of DF (SHERPA, TRST, ISAR-PC and Inouye). Approved by the Clinical Research Ethics Committee of Toledo. RESULTS: The mean age was 77.94 (SD: 6.27), with 54.4% women. Mean number of illnesses: 4.38 (SD: 2.17) and drugs: 5.57 (SD: 3.35). Risk of DF according to the prediction rules: SHERPA: 32.7% (95% CI: 28.52-36.88) (slight risk: 17.2% [95% CI: 13.83-20.57]; moderate: 9.7% [95% CI: 7.06-12.34] and high: 5.8% [95% CI: 3.72-7.88]); TRST: 42% (95% CI: 37.6-46.4); ISAR-PC: 75.4% (95% CI: 71.14-78.86); Inouye: 49.3% (95% CI: 44.84-53.76) (mean risk: 44.5% [95% CI: 40.07-48.93], and high: risk 4.8% [95% CI: 2.89-6.71]). CONCLUSIONS: A significant percentage of patients are at risk of DF, but there is a wide variation between the different rules. In general, the risk is lower than that found in other studies, and it is necessary to validate new rules adapted to our environment.
