BACKGROUND: Neurologic diseases are rarely listed on death certificates because death is more often attributed to cardiovascular and pneumonic events occurring during terminal stages. OBJECTIVE: To evaluate the effect of major age-associated neurologic and non-neurologic diseases on survival in a cohort of Italian elderly. METHODS: A population-based multicenter survey, carried out in eight Italian municipalities, with a sample of 5,632 individuals aged 65 to 84 years. The entire sample was screened for all the diseases under study, and all individuals were interviewed about risk factors. Those who screened positive underwent clinical assessments by specialists. Two years after the baseline survey, the study population was followed up to determine the vital status either directly from the individuals or from proxy respondents. A copy of the death certificate was obtained for each individual who had died. The risk of dying (mortality risk ratio [MRR]) was calculated using the Cox proportional hazards model in which we included all the diseases under study, age, gender, and years of education. RESULTS: At follow-up (mean duration 26.7 +/- 5.4 months) 444 individuals had died. The Cox proportional hazards model selected the following as significant predictors of death: age (for year of age MRR = 1.12; 95% confidence interval [CI], 1.08 to 1.15), male gender (MRR = 1.72; 95% CI, 1.27 to 2.34), institutionalization (MRR = 4.17; 95% CI, 2.20 to 7.94), dementia (MRR = 3.61; 95% CI, 2.55 to 5.11), neoplasm (MRR = 2.01; 95% CI, 1.20 to 3.38), heart failure (MRR = 1.87; 95% CI, 1.27 to 2.76), and diabetes (MRR = 1.62; 95% CI, 1.12 to 2.34). CONCLUSIONS: These data provide further evidence on the malignancy of dementia, which proved the major predictor of death in the elderly, with an MRR higher than neoplastic diseases and other severe age-associated conditions.
BACKGROUND:Neurologic diseases are rarely listed on death certificates because death is more often attributed to cardiovascular and pneumonic events occurring during terminal stages. OBJECTIVE: To evaluate the effect of major age-associated neurologic and non-neurologic diseases on survival in a cohort of Italian elderly. METHODS: A population-based multicenter survey, carried out in eight Italian municipalities, with a sample of 5,632 individuals aged 65 to 84 years. The entire sample was screened for all the diseases under study, and all individuals were interviewed about risk factors. Those who screened positive underwent clinical assessments by specialists. Two years after the baseline survey, the study population was followed up to determine the vital status either directly from the individuals or from proxy respondents. A copy of the death certificate was obtained for each individual who had died. The risk of dying (mortality risk ratio [MRR]) was calculated using the Cox proportional hazards model in which we included all the diseases under study, age, gender, and years of education. RESULTS: At follow-up (mean duration 26.7 +/- 5.4 months) 444 individuals had died. The Cox proportional hazards model selected the following as significant predictors of death: age (for year of age MRR = 1.12; 95% confidence interval [CI], 1.08 to 1.15), male gender (MRR = 1.72; 95% CI, 1.27 to 2.34), institutionalization (MRR = 4.17; 95% CI, 2.20 to 7.94), dementia (MRR = 3.61; 95% CI, 2.55 to 5.11), neoplasm (MRR = 2.01; 95% CI, 1.20 to 3.38), heart failure (MRR = 1.87; 95% CI, 1.27 to 2.76), and diabetes (MRR = 1.62; 95% CI, 1.12 to 2.34). CONCLUSIONS: These data provide further evidence on the malignancy of dementia, which proved the major predictor of death in the elderly, with an MRR higher than neoplastic diseases and other severe age-associated conditions.
Authors: William W Eaton; Silvia S Martins; Gerald Nestadt; O Joseph Bienvenu; Diana Clarke; Pierre Alexandre Journal: Epidemiol Rev Date: 2008-09-19 Impact factor: 6.222
Authors: Joseph H Flaherty; Birong Dong; Hongmei Wu; Yanling Zhang; Jack M Guralnik; Theodore K Malmstrom; John E Morley Journal: J Gerontol A Biol Sci Med Sci Date: 2011-02-10 Impact factor: 6.053
Authors: Nathan Davies; Laura Maio; Jasper van Riet Paap; Elena Mariani; Birgit Jaspers; Ragni Sommerbakk; Daniela Grammatico; Jill Manthorpe; Sam Ahmedzai; Myrra Vernooij-Dassen; Steve Iliffe Journal: Aging Ment Health Date: 2013-10-17 Impact factor: 3.658
Authors: Jong Bin Bae; Ji Won Han; Kyung Phil Kwak; Bong Jo Kim; Shin Gyeom Kim; Jeong Lan Kim; Tae Hui Kim; Seung-Ho Ryu; Seok Woo Moon; Joon Hyuk Park; Jong Chul Youn; Dong Young Lee; Dong Woo Lee; Seok Bum Lee; Jung Jae Lee; Jin Hyeong Jhoo; Ki Woong Kim Journal: Aging Dis Date: 2019-02-01 Impact factor: 6.745