BACKGROUND: There is a substantial body of research supporting the vascular depression hypothesis of late-life depression. To update this hypothesis so it incorporates recent research, we propose that the term subcortical ischemic vascular depression may be a more accurate representation of the disease process. We sought to investigate this diagnosis as a construct by examining differences between depressed subjects with and without magnetic resonance imaging defined subcortical ischemic vascular depression. METHODS: This case-control study examined 139 depressed elderly subjects. Demographic data, psychiatric, medical, and family history, depressive symptomatology, and functional impairment were compared between groups dichotomized based on neuroimaging findings. RESULTS: Seventy-five (54%) of the subjects met neuroimaging criteria for subcortical ischemic vascular depression. Age was most strongly associated with increased prevalence of subcortical ischemic vascular depression. Lassitude and a history of hypertension were also positively associated with the diagnosis; a family history of mental illness and loss of libido were negatively associated with the diagnosis. CONCLUSIONS: These data support that subcortical ischemic vascular depression may be a specific syndrome from other types of late-life depression. Further research is needed to further characterize this disorder, particularly in regards to cognitive function and treatment implications.
BACKGROUND: There is a substantial body of research supporting the vascular depression hypothesis of late-life depression. To update this hypothesis so it incorporates recent research, we propose that the term subcortical ischemic vascular depression may be a more accurate representation of the disease process. We sought to investigate this diagnosis as a construct by examining differences between depressed subjects with and without magnetic resonance imaging defined subcortical ischemic vascular depression. METHODS: This case-control study examined 139 depressed elderly subjects. Demographic data, psychiatric, medical, and family history, depressive symptomatology, and functional impairment were compared between groups dichotomized based on neuroimaging findings. RESULTS: Seventy-five (54%) of the subjects met neuroimaging criteria for subcortical ischemic vascular depression. Age was most strongly associated with increased prevalence of subcortical ischemic vascular depression. Lassitude and a history of hypertension were also positively associated with the diagnosis; a family history of mental illness and loss of libido were negatively associated with the diagnosis. CONCLUSIONS: These data support that subcortical ischemic vascular depression may be a specific syndrome from other types of late-life depression. Further research is needed to further characterize this disorder, particularly in regards to cognitive function and treatment implications.
Authors: H Jokinen; H Kalska; R Mäntylä; T Pohjasvaara; R Ylikoski; M Hietanen; O Salonen; M Kaste; T Erkinjuntti Journal: J Neurol Neurosurg Psychiatry Date: 2006-01 Impact factor: 10.154
Authors: Matthew J Hoptman; Faith M Gunning-Dixon; Christopher F Murphy; Babak A Ardekani; Jan Hrabe; Kelvin O Lim; Glenda R Etwaroo; Dora Kanellopoulos; George S Alexopoulos Journal: J Affect Disord Date: 2008-09-20 Impact factor: 4.839
Authors: Micaela Santos; Enikö Kövari; Patrick R Hof; Gabriel Gold; Constantin Bouras; Panteleimon Giannakopoulos Journal: Brain Res Rev Date: 2009-09-08
Authors: Yvette I Sheline; Carl F Pieper; Deanna M Barch; Kathleen Welsh-Bohmer; Kathleen Welsh-Boehmer; Robert C McKinstry; James R MacFall; Gina D'Angelo; Keith S Garcia; Kenneth Gersing; Consuelo Wilkins; Warren Taylor; David C Steffens; Ranga R Krishnan; P Murali Doraiswamy Journal: Arch Gen Psychiatry Date: 2010-03
Authors: Davangere P Devanand; Gregory H Pelton; Kristina D'Antonio; Adam Ciarleglio; Jennifer Scodes; Howard Andrews; Julia Lunsford; John L Beyer; Jeffrey R Petrella; Joel Sneed; Michaela Ciovacco; Pudugramam Murali Doraiswamy Journal: Am J Geriatr Psychiatry Date: 2018-06-28 Impact factor: 4.105
Authors: Nunzio Pomara; P Murali Doraiswamy; Lisa M Willoughby; Amy E Roth; Benoit H Mulsant; John J Sidtis; Pankaj D Mehta; Charles F Reynolds; Bruce G Pollock Journal: Neurochem Res Date: 2006-04-01 Impact factor: 3.996