OBJECTIVE: Cerebral small vessel disease (SVD) is associated with late-onset depression and increases the risk for depression after stroke. We aimed to investigate baseline predictors of depression after long-term follow-up in patients with SVD, initially presenting with first-ever lacunar stroke, free of depression and cognitive impairment. METHODS: A total of 294 patients with SVD were evaluated 3-5 years after the qualifying event. We analyzed baseline demographic data, vascular risk factors, functional status expressed as a score on modified Rankin Scale (mRS), cognitive status, presence of depression, total number of lacunar infarcts and severity of white matter hyperintensities (WMH) on MRI with Age-Related White Matter Changes scale total score (tARWMC) and Fazekas scale periventricular and deep subcortical scores. RESULTS: On follow-up, depression was registered in 117 (39.8%) SVD patients. At the baseline, patients with depression compared with non-depressed were older (64.4 vs 60.9 years; p = 0.007), had higher mRS score (2.8 ± 0.7 vs 1.5 ± 0.7; p < 0.0001) and had more severe lesions on MRI scales (p < 0.0001 for all parameters). On follow-up, depressed patients more frequently exhibited cognitive decline (75.2% depressed vs 56.5% non-depressed; p = 0.003). No difference was detected in risk factor frequency between groups. Multivariate Cox regression analysis adjusted by age and gender revealed independent predictors of depression: baseline mRS >2 (HR 2.17, 95%CI 1.74-2.72; p < 0.0001) and tARWMC (HR 1.05, 95%CI 1.02-1.09; p = 0.005), and cognitive decline on follow-up (HR 1.80, 95%CI 1.12-2.89; p = 0.015). CONCLUSIONS: Baseline functional status and severity of WMH and development of cognitive decline predict the occurence of late-onset depression in patients with SVD.
OBJECTIVE:Cerebral small vessel disease (SVD) is associated with late-onset depression and increases the risk for depression after stroke. We aimed to investigate baseline predictors of depression after long-term follow-up in patients with SVD, initially presenting with first-ever lacunar stroke, free of depression and cognitive impairment. METHODS: A total of 294 patients with SVD were evaluated 3-5 years after the qualifying event. We analyzed baseline demographic data, vascular risk factors, functional status expressed as a score on modified Rankin Scale (mRS), cognitive status, presence of depression, total number of lacunar infarcts and severity of white matter hyperintensities (WMH) on MRI with Age-Related White Matter Changes scale total score (tARWMC) and Fazekas scale periventricular and deep subcortical scores. RESULTS: On follow-up, depression was registered in 117 (39.8%) SVDpatients. At the baseline, patients with depression compared with non-depressed were older (64.4 vs 60.9 years; p = 0.007), had higher mRS score (2.8 ± 0.7 vs 1.5 ± 0.7; p < 0.0001) and had more severe lesions on MRI scales (p < 0.0001 for all parameters). On follow-up, depressed patients more frequently exhibited cognitive decline (75.2% depressed vs 56.5% non-depressed; p = 0.003). No difference was detected in risk factor frequency between groups. Multivariate Cox regression analysis adjusted by age and gender revealed independent predictors of depression: baseline mRS >2 (HR 2.17, 95%CI 1.74-2.72; p < 0.0001) and tARWMC (HR 1.05, 95%CI 1.02-1.09; p = 0.005), and cognitive decline on follow-up (HR 1.80, 95%CI 1.12-2.89; p = 0.015). CONCLUSIONS: Baseline functional status and severity of WMH and development of cognitive decline predict the occurence of late-onset depression in patients with SVD.
Authors: Stephen F Smagula; Scott Beach; Andrea L Rosso; Anne B Newman; Richard Schulz Journal: Am J Geriatr Psychiatry Date: 2017-02-21 Impact factor: 4.105
Authors: A Wallin; E Kapaki; M Boban; S Engelborghs; D M Hermann; B Huisa; M Jonsson; M G Kramberger; L Lossi; B Malojcic; S Mehrabian; A Merighi; E B Mukaetova-Ladinska; G P Paraskevas; B O Popescu; R Ravid; L Traykov; G Tsivgoulis; G Weinstein; A Korczyn; M Bjerke; G Rosenberg Journal: BMC Neurol Date: 2017-05-23 Impact factor: 2.474
Authors: Howard J Aizenstein; Andrius Baskys; Maura Boldrini; Meryl A Butters; Breno S Diniz; Manoj Kumar Jaiswal; Kurt A Jellinger; Lev S Kruglov; Ivan A Meshandin; Milija D Mijajlovic; Guenter Niklewski; Sarah Pospos; Keerthy Raju; Kneginja Richter; David C Steffens; Warren D Taylor; Oren Tene Journal: BMC Med Date: 2016-11-03 Impact factor: 8.775
Authors: Elles Douven; Sebastian Köhler; Maria M F Rodriguez; Julie Staals; Frans R J Verhey; Pauline Aalten Journal: Neuropsychol Rev Date: 2017-08-22 Impact factor: 7.444