Nicola Veronese1, Ai Koyanagi2, Lee Smith3, Clarissa Musacchio4, Lisa Cammalleri4, Mario Barbagallo5, Alberto Pilotto6. 1. Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy; Department Geriatric Care, Orthogeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, Genova, Italy. Electronic address: nicola.veronese@unipa.it. 2. Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, 08830 Barcelona, Spain; ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain. 3. The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK. 4. Department Geriatric Care, Orthogeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, Genova, Italy. 5. Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy. 6. Department Geriatric Care, Orthogeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, Genova, Italy; Department of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Abstract
BACKGROUND: Cardiovascular diseases (CVDs) are the most important cause of mortality and an important cause of disability. Frailty seems to be associated with higher cardiovascular risk, but limited research has been done using a multidimensional approach to frailty. Thus, the present study aimed to investigate whether the multidimensional prognostic index (MPI), based on comprehensive geriatric assessment (CGA), is associated with CVD risk in the Osteoarthritis Initiative (OAI) study. METHODS: Community-dwellers affected by knee OA or at high risk for this condition were followed for 8 years. A standardized CGA including information on functional, nutritional, mood, comorbidities, medications, quality of life and co-habitation status was used to calculate a modified version of the MPI (range 0-1), with higher scores representing greater risk of mortality. CVDs were recorded using self-reported information. Logistic regression analyses, adjusting for potential confounders, were conducted. RESULTS: The final sample consisted of 4211 individuals (mean age 60.8 years, females = 58.6%). People with incident CVD had a significant higher baseline MPI value than those without CVD (0.44 ± 0.17 vs. 0.39 ± 0.17). People with an MPI between 0.34 and 0.66 (OR = 1.31; 95%CI: 1.03-1.67) and over 0.66 (OR = 1.91; 95%CI: 1.26-2.89) experienced a higher risk of CVD (vs. MPI score < 0.34). A 0.10 points increase in the MPI score at baseline was associated with a 1.16 (95%CI: 1.09-1.24) times higher odds for incident CVD. CONCLUSIONS AND IMPLICATIONS: Higher MPI values at baseline were associated with an increased risk of CVD, reinforcing the importance of CGA in predicting CVD risk in older people.
BACKGROUND:Cardiovascular diseases (CVDs) are the most important cause of mortality and an important cause of disability. Frailty seems to be associated with higher cardiovascular risk, but limited research has been done using a multidimensional approach to frailty. Thus, the present study aimed to investigate whether the multidimensional prognostic index (MPI), based on comprehensive geriatric assessment (CGA), is associated with CVD risk in the Osteoarthritis Initiative (OAI) study. METHODS: Community-dwellers affected by knee OA or at high risk for this condition were followed for 8 years. A standardized CGA including information on functional, nutritional, mood, comorbidities, medications, quality of life and co-habitation status was used to calculate a modified version of the MPI (range 0-1), with higher scores representing greater risk of mortality. CVDs were recorded using self-reported information. Logistic regression analyses, adjusting for potential confounders, were conducted. RESULTS: The final sample consisted of 4211 individuals (mean age 60.8 years, females = 58.6%). People with incident CVD had a significant higher baseline MPI value than those without CVD (0.44 ± 0.17 vs. 0.39 ± 0.17). People with an MPI between 0.34 and 0.66 (OR = 1.31; 95%CI: 1.03-1.67) and over 0.66 (OR = 1.91; 95%CI: 1.26-2.89) experienced a higher risk of CVD (vs. MPI score < 0.34). A 0.10 points increase in the MPI score at baseline was associated with a 1.16 (95%CI: 1.09-1.24) times higher odds for incident CVD. CONCLUSIONS AND IMPLICATIONS: Higher MPI values at baseline were associated with an increased risk of CVD, reinforcing the importance of CGA in predicting CVD risk in older people.
Authors: Nicola Veronese; Marianna Noale; Alberto Cella; Carlo Custodero; Lee Smith; Marina Barbagelata; Stefania Maggi; Mario Barbagallo; Carlo Sabbà; Luigi Ferrucci; Alberto Pilotto Journal: Qual Life Res Date: 2022-05-17 Impact factor: 3.440
Authors: Abdulla A Damluji; Shang-En Chung; Qian-Li Xue; Rani K Hasan; Mauro Moscucci; Daniel E Forman; Karen Bandeen-Roche; Wayne Batchelor; Jeremy D Walston; Jon R Resar; Gary Gerstenblith Journal: Eur Heart J Date: 2021-10-01 Impact factor: 35.855