| Autor: |
Battaggia A; Italian Society of General Medicine and Primary Care (SIMG) Via del Sansovino 179 - 50142Firenze, Italia.; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia., Scalisi A; Italian Society of General Medicine and Primary Care (SIMG) Via del Sansovino 179 - 50142Firenze, Italia.; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia., Franco Novelletto B; Italian Society of General Medicine and Primary Care (SIMG) Via del Sansovino 179 - 50142Firenze, Italia.; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia., Fusello M; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia., Michieli R; Italian Society of General Medicine and Primary Care (SIMG) Via del Sansovino 179 - 50142Firenze, Italia.; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia., Cancian M; Italian Society of General Medicine and Primary Care (SIMG) Via del Sansovino 179 - 50142Firenze, Italia.; Veneto's School of General Medicine (SVEMG) Via Pelosa, 78 -35030 Selvazzano dentro Padova, Italia. |
| Abstrakt: |
Context: Both frailty and multimorbidity are strong predictors of clinical endpoints for older people. In Italy, the interventions targeting chronicity are mainly based on the treatment of diseases: sufficient epidemiological literature is available about these strategies. Less is known about the territorial distribution of the frailty status. Aims: To estimate the prevalence of frailty in older people (65+) and to evaluate the relationship between frailty and multimorbidity. Methods and material: A group of general practitioners working in Veneto (Italy) was enrolled on a voluntary basis. Older individuals were both community dwelling and institutionalized patients, that is, the older people normally followed by Italian general practitioners. A centrally randomized sample was extracted from the pool of physician-assisted elderly. Each doctor evaluated the frailty status through the CSHA Clinical Frailty Scale and the multimorbidity status through the Charlson score (Frailty = CSHA Clinical Frailty Scale's score >4; serious multimorbidity = Charlson score ≥4). Prevalence and its confidence interval (CI) 95% were evaluated through the Agresti's method for proportions. The relation between frailty and multimorbidity was studied through a logistic regression model adjusted for age and sex. Results: Fifty-three physicians were enrolled, whose population of elderly individuals ( N = 82919) was highly representative of the population of Veneto. The prevalence of frailty in the randomized sample of 2407 older people was 23.18% (CI 95%: 21.53%-24.91%). Sex was shown to be a strong predictor of frailty (female status OR = 1.58 p < .0001) and multimorbidity was shown to be an independent predictor only for individuals <85 years of age. Conclusions: In Veneto, more than 20% of elderly people are frail. Physicians should pay close attention to frailty and multimorbidity because both are important prognostic factors toward clinical endpoints relevant to territorial care. The CSHA Clinical Frailty Scale (easy and quick) should become part of their professional routine. |
