OBJECTIVE: The authors examined predictors of mortality in individuals age 50 or older with or without cognitive impairment in a 12-year prospective naturalistic study of subcortical ischemic vascular disease focusing on symptoms of depressed mood, apathy, anhedonia, or anergia. METHOD: A total of 498 participants were recruited from the community and from memory clinics into a multicenter longitudinal study of subcortical ischemic vascular disease. For baseline cognitive status, 36% of participants were assessed as cognitively intact, 31% as cognitively impaired, and 33% as demented. All participants underwent a research protocol MRI, and 41% were classified as having subcortical lacunes. Depressed mood, anhedonia, anergia, and apathy were assessed at baseline using a structured behavioral assessment. Cox regression models were used to investigate the associations between neuropsychiatric symptoms and mortality, controlling for age, gender, race, education level, cognitive status, presence of vascular lacunes, and vascular risk factors. RESULTS: Of 498 participants, 175 (35%) died over the follow-up period, with a median survival time of 5.6 years. In the multivariate analyses, cognitive impairment, age, male gender, depressed mood, and the presence of lacunes predicted higher mortality. Participants with both lacunes and depressed mood had the shortest survival among all cognitive groups. The mortality hazard ratio for participants with depressed mood was 2.2 (95% CI=1.5-3.2) after adjustment for cognitive status, age, gender, education level, race, lacunes, and all vascular conditions. CONCLUSIONS: These findings suggest the importance of detecting depressed mood in individuals with cerebrovascular disease and of developing more aggressive treatment and preventive interventions for this vulnerable population.
OBJECTIVE: The authors examined predictors of mortality in individuals age 50 or older with or without cognitive impairment in a 12-year prospective naturalistic study of subcortical ischemic vascular disease focusing on symptoms of depressed mood, apathy, anhedonia, or anergia. METHOD: A total of 498 participants were recruited from the community and from memory clinics into a multicenter longitudinal study of subcortical ischemic vascular disease. For baseline cognitive status, 36% of participants were assessed as cognitively intact, 31% as cognitively impaired, and 33% as demented. All participants underwent a research protocol MRI, and 41% were classified as having subcortical lacunes. Depressed mood, anhedonia, anergia, and apathy were assessed at baseline using a structured behavioral assessment. Cox regression models were used to investigate the associations between neuropsychiatric symptoms and mortality, controlling for age, gender, race, education level, cognitive status, presence of vascular lacunes, and vascular risk factors. RESULTS: Of 498 participants, 175 (35%) died over the follow-up period, with a median survival time of 5.6 years. In the multivariate analyses, cognitive impairment, age, male gender, depressed mood, and the presence of lacunes predicted higher mortality. Participants with both lacunes and depressed mood had the shortest survival among all cognitive groups. The mortality hazard ratio for participants with depressed mood was 2.2 (95% CI=1.5-3.2) after adjustment for cognitive status, age, gender, education level, race, lacunes, and all vascular conditions. CONCLUSIONS: These findings suggest the importance of detecting depressed mood in individuals with cerebrovascular disease and of developing more aggressive treatment and preventive interventions for this vulnerable population.
Authors: M J Roach; A F Connors; N V Dawson; N S Wenger; A W Wu; J Tsevat; N Desbiens; K E Covinsky; D S Schubert Journal: Arch Intern Med Date: 1998-02-23
Authors: Steven Z Chao; Brandy R Matthews; Jennifer S Yokoyama; Ngan Betty Lai; Hilary Ong; Marian Tse; Runfen Frances Yuan; Amy Lin; Joel Kramer; Kristine Yaffe; John Kornak; Bruce L Miller; Howard J Rosen Journal: Am J Geriatr Psychiatry Date: 2013-09-08 Impact factor: 4.105
Authors: Mark B Snowden; Lesley E Steinman; Lucinda L Bryant; Monique M Cherrier; Kurt J Greenlund; Katherine H Leith; Cari Levy; Rebecca G Logsdon; Catherine Copeland; Mia Vogel; Lynda A Anderson; David C Atkins; Janice F Bell; Annette L Fitzpatrick Journal: Int J Geriatr Psychiatry Date: 2017-02-01 Impact factor: 3.485
Authors: Katherine C Barboza; Lilian M Salinas; Farhad Sahebjam; Arun B Jesudian; Ilan L Weisberg; Samuel H Sigal Journal: Metab Brain Dis Date: 2016-03-31 Impact factor: 3.584
Authors: Kelsey T Laird; Helen Lavretsky; Pattharee Paholpak; Roza M Vlasova; Michael Roman; Natalie St Cyr; Prabha Siddarth Journal: Int Psychogeriatr Date: 2018-01-16 Impact factor: 3.878