Fausto Salaffi1, Marco Di Carlo2, Sonia Farah1, Eleonora Di Donato1, Marina Carotti3. 1. Rheumatological Clinic, Ospedale "Carlo Urbani", Università Politecnica delle Marche, Via Aldo Moro, 25, Jesi, Ancona, Italy. 2. Rheumatological Clinic, Ospedale "Carlo Urbani", Università Politecnica delle Marche, Via Aldo Moro, 25, Jesi, Ancona, Italy. dica.marco@yahoo.it. 3. Department of Radiology, Ospedali Riuniti, Università Politecnica delle Marche, Ancona, Italy.
Abstract
OBJECTIVES: The aims of the present research were to assess the prevalence of frailty and its potential associated factors in a cohort of adult patients with rheumatoid arthritis (RA). METHODS: Consecutive RA patients and healthy controls were assessed according to the Survey of Health, Ageing and Retirement in Europe Frailty Instrument (SHARE-FI), and classified as frail, pre-frail, or non-frail. Chi-square, analysis of variance (ANOVA), and multinomial logistic regression analyses were used to test the prognostic value of frailty for the outcomes of interest. RESULTS: Two hundred and ten consecutive RA patients (65.7% female, mean age 60.4 years) and 100 healthy controls (63% female, mean age 59.1 years) were included. According to SHARE-FI criteria, 35 RA patients (16.6%) were categorized as frail, 68 (32.4%) as pre-frail, and 107 (51%) as non-frail, while 8 control subjects were categorized as frail, (8%), 17 as pre-frail (17%), and 75 as non-frail (75%) (chi-squared 12.8; P = 0.0016). The results from logistic regression analysis revealed that age (odds ratio [OR] = 1.12, 95% confidence interval [CI] = 1.07-1.17; P < 0.0001), comorbidities (OR = 1.51, 95% CI = 1.01-2.27; P = 0.0446), and high disease activity (OR = 1.10, 95% CI = 1.04-1.16; P = 0.0006) were independently associated with frailty in RA. CONCLUSIONS: Frailty or pre-frailty are common in RA. The SHARE-FI may be a useful tool for the screening of frailty in RA and may summarize the results of a comprehensive RA assessment providing a marker of deficits accumulation.
OBJECTIVES: The aims of the present research were to assess the prevalence of frailty and its potential associated factors in a cohort of adult patients with rheumatoid arthritis (RA). METHODS: Consecutive RApatients and healthy controls were assessed according to the Survey of Health, Ageing and Retirement in Europe Frailty Instrument (SHARE-FI), and classified as frail, pre-frail, or non-frail. Chi-square, analysis of variance (ANOVA), and multinomial logistic regression analyses were used to test the prognostic value of frailty for the outcomes of interest. RESULTS: Two hundred and ten consecutive RApatients (65.7% female, mean age 60.4 years) and 100 healthy controls (63% female, mean age 59.1 years) were included. According to SHARE-FI criteria, 35 RApatients (16.6%) were categorized as frail, 68 (32.4%) as pre-frail, and 107 (51%) as non-frail, while 8 control subjects were categorized as frail, (8%), 17 as pre-frail (17%), and 75 as non-frail (75%) (chi-squared 12.8; P = 0.0016). The results from logistic regression analysis revealed that age (odds ratio [OR] = 1.12, 95% confidence interval [CI] = 1.07-1.17; P < 0.0001), comorbidities (OR = 1.51, 95% CI = 1.01-2.27; P = 0.0446), and high disease activity (OR = 1.10, 95% CI = 1.04-1.16; P = 0.0006) were independently associated with frailty in RA. CONCLUSIONS: Frailty or pre-frailty are common in RA. The SHARE-FI may be a useful tool for the screening of frailty in RA and may summarize the results of a comprehensive RA assessment providing a marker of deficits accumulation.
Authors: James S Andrews; Laura Trupin; Edward H Yelin; Catherine L Hough; Kenneth E Covinsky; Patricia P Katz Journal: Clin Rheumatol Date: 2017-01-23 Impact factor: 2.980