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Lacunar stroke, deep white matter disease and depression: a meta-analysis

Published online by Cambridge University Press:  09 April 2014

Peter Egeto
Affiliation:
Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Canada
Corinne E. Fischer
Affiliation:
Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Canada Department of Psychiatry, Faculty of Medicine, University of Toronto, 27 King's College Circle, Toronto, Canada
Zahinoor Ismail
Affiliation:
Departments of Psychiatry and Clinical Neurosciences, University of Calgary, 3330 Hospital Drive NW, Calgary, Canada Centre for Addiction and Mental Health, Geriatric Mental Health Program, Toronto, Canada
Eric E. Smith
Affiliation:
Hotchkiss Brain Institute, University of Calgary, 3330 Hospital Drive NW, Calgary, Canada Department of Clinical Neurosciences, Radiology and Community Health Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada
Tom A. Schweizer*
Affiliation:
Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Canada Institute of Biomaterials and Biomedical Engineering, Faculty of Medicine, University of Toronto, 27 King's College Circle, Toronto, Canada Department of Surgery, Faculty of Medicine, University of Toronto, 27 King's College Circle, Toronto, Canada
*
Correspondence should be addressed to: Dr. Tom A. Schweizer, PhD, Director, Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada. Phone: +416 864-5504; Fax: +416 864-5857. Email: schweizert@smh.ca.

Abstract

Background:

Lacunar stroke is a small (<2 cm) infarction that accounts for approximately 20% of all strokes. While a third of all stroke patients experience depressive symptoms, the prevalence of depression in the lacunar stroke patient population is unclear. This meta-analysis aimed to synthesize the evidence on the effect of lacunar stroke and deep white matter disease on depressive symptoms.

Methods:

A systematic search of electronic databases was conducted, resulting in the inclusion of 12 studies. Analyses were performed on the effects of lacunar stroke, volume and location of lacunes on depression prevalence, and the effect on depression severity. The effects estimates were calculated in random-effects models.

Results:

None of the analyses produced statistically significant results. Lacunar stroke patients had a non-significantly higher prevalence of depression compared to patients with non-lacunar cerebrovascular diseases (OR = 1.46, 95% CI: 0.88–2.43, p = 0.15). Neither thalamic (OR = 1.37 (0.85–2.20), p = 0.19), deep white matter (RR = 1.16 (0.85–1.57), p = 0.35), multiple lacunes (OR = 1.34 (0.81–2.22), p = 0.25), or the volume of lacunes (MD = −4.71 (−351.59–342.18), p = 0.98) had an effect on depression prevalence. Lastly, lacunar stroke did not influence depressive symptom severity (MD = 0.96 (−1.57–3.48), p = 0.46).

Conclusions:

The pooled group of patients with lacunar stroke and deep white matter disease appear to have a similar prevalence of depression compared to those with other types of cerebrovascular diseases. However, the small number of studies, heterogeneous comparison groups, and high statistical heterogeneity between studies posed an obstacle to the meta-analysis. To determine appropriate screening and treatment approaches, future research will need to separate lacunar stroke and deep white matter disease patients, and include larger sample sizes and healthy control groups to determine their distinct contributions to depression.

Type
Review Article
Copyright
Copyright © International Psychogeriatric Association 2014 

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References

Aharon-Peretz, J., Kliot, D. and Tomer, R. (2000). Behavioral differences between white matter lacunar dementia and Alzheimer's disease: a comparison on the neuropsychiatric inventory. Dementia and Geriatric Cognitive Disorders, 11, 294298.CrossRefGoogle ScholarPubMed
American Psychiatric Association. (1994). Diagnostic and Statistical Manual of Mental Disorders. Washington, DC, American Psychiatric Press.Google Scholar
Appelros, P. and Viitanen, M. (2004). Prevalence and predictors of depression at one year in a swedish population-based cohort with first-ever stroke. Journal of Stroke and Cerebrovascular Diseases, 13, 5257.CrossRefGoogle Scholar
Arnone, D., Mcintosh, A. M., Ebmeier, K. P., Munafo, M. R. and Anderson, I. M. (2012). Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses. European Neuropsychopharmacology, 22, 116.CrossRefGoogle ScholarPubMed
Bailey, E. L., Smith, C., Sudlow, C. L. and Wardlaw, J. M. (2012). Pathology of lacunar ischemic stroke in humans–a systematic review. Brain Pathology, 22, 583591.CrossRefGoogle ScholarPubMed
Begg, C. B. and Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 10881101.CrossRefGoogle Scholar
Bella, R. et al. (2010). Clinical presentation and outcome of geriatric depression in subcortical ischemic vascular disease. Gerontology, 56, 298302.CrossRefGoogle ScholarPubMed
Bhogal, S. K., Teasell, R., Foley, N. and Speechley, M. (2004). Lesion location and poststroke depression: systematic review of the methodological limitations in the literature. Stroke, 35, 794802.CrossRefGoogle ScholarPubMed
Brodaty, H., Withall, A., Altendorf, A. and Sachdev, P. S. (2007). Rates of depression at 3 and 15 months poststroke and their relationship with cognitive decline: the sydney stroke study. The American Journal of Geriatric Psychiatry, 15, 477486.CrossRefGoogle ScholarPubMed
Brookes, R. L., Willis, T. A., Patel, B., Morris, R. G. and Markus, H. S. (2013). Depressive symptoms as a predictor of quality of life in cerebral small vessel disease, acting independently of disability; a study in both sporadic small vessel disease and cadasil. International Journal of Stroke, 8, 510517.CrossRefGoogle ScholarPubMed
Buijs, J. E., Greebe, P. and Rinkel, G. J. (2012). Quality of life, anxiety, and depression in patients with an unruptured intracranial aneurysm with or without aneurysm occlusion. Neurosurgery, 70, 868872.CrossRefGoogle ScholarPubMed
Carson, A. J. et al. (2000). Depression after stroke and lesion location: a systematic review. Lancet, 356, 122126.CrossRefGoogle ScholarPubMed
Chatterjee, K., Fall, S. and Barer, D. (2010). Mood after stroke: a case control study of biochemical, neuro-imaging and socio-economic risk factors for major depression in stroke survivors. BMC Neurology, 10, 125.CrossRefGoogle ScholarPubMed
Chen, Y., Chen, X., Mok, V. C., Lam, W. W., Wong, K. S. and Tang, W. K. (2009). Poststroke depression in patients with small subcortical infarcts. Clinical Neurology and Neurosurgery, 111, 256260.CrossRefGoogle ScholarPubMed
Edwards, J. D., Jacova, C., Sepehry, A. A., Pratt, B. and Benavente, O. R. (2013). A quantitative systematic review of domain-specific cognitive impairment in lacunar stroke. Neurology, 80, 315322.CrossRefGoogle ScholarPubMed
Everson, S. A., Roberts, R. E., Goldberg, D. E. and Kaplan, G. A. (1998). Depressive symptoms and increased risk of stroke mortality over a 29-year period. Archives of Internal Medicine, 158, 11331138.CrossRefGoogle Scholar
Farrall, A. J. and Wardlaw, J. M. (2009). Blood-brain barrier: ageing and microvascular disease–systematic review and meta-analysis. Neurobiology of Aging, 30, 337352.CrossRefGoogle ScholarPubMed
Fazekas, F. et al. (1993). Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology, 43, 16831689.CrossRefGoogle ScholarPubMed
Fernando, M. S. et al. (2006). White matter lesions in an unselected cohort of the elderly: molecular pathology suggests origin from chronic hypoperfusion injury. Stroke, 37, 13911398.CrossRefGoogle Scholar
Firbank, M. J. et al. (2012). Relationship between progression of brain white matter changes and late-life depression: 3-Year results from the ladis study. The British Journal of Psychiatry, 201, 4045.CrossRefGoogle ScholarPubMed
Fu, J. H. et al. (2010). Neuroimaging predictors for depressive symptoms in cerebral small vessel disease. International Journal of Geriatric Psychiatry, 25, 10391043.CrossRefGoogle ScholarPubMed
Gouw, A. A. et al. (2011). Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations. Journal of Neurology, Neurosurgery, and Psychiatry, 82, 126135.CrossRefGoogle ScholarPubMed
Grool, A. M., Van Der Graaf, Y., Mali, W. P., Geerlings, M. I. and Group, S. S. (2011a). Location of cerebrovascular and degenerative changes, depressive symptoms and cognitive functioning in later life: the smart-medea study. Journal of Neurology, Neurosurgery, and Psychiatry, 82, 10931100.CrossRefGoogle ScholarPubMed
Grool, A. M., Van Der Graaf, Y., Mali, W. P., Witkamp, T. D., Vincken, K. L. and Geerlings, M. I. (2011b). Location and progression of cerebral small-vessel disease and atrophy, and depressive symptom profiles: the second manifestations of arterial disease (Smart)-medea study. Psychological Medicine, 42, 112.Google ScholarPubMed
Grool, A. M. et al. (2012). Mood problems increase the risk of mortality in patients with lacunar infarcts: the Smart-Mr study. Psychosomatic Medicine, 74, 234240.CrossRefGoogle ScholarPubMed
Grool, A. M., Gerritsen, L., Zuithoff, N. P., Mali, W. P., Van Der Graaf, Y. and Geerlings, M. I. (2013). Lacunar infarcts in deep white matter are associated with higher and more fluctuating depressive symptoms during three years follow-up. Biological Psychiatry, 73, 169176.CrossRefGoogle ScholarPubMed
Hackett, M. L., Yapa, C., Parag, V. and Anderson, C. S. (2005). Frequency of depression after stroke: a systematic review of observational studies. Stroke, 36, 13301340.CrossRefGoogle ScholarPubMed
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 5662.CrossRefGoogle ScholarPubMed
Herrmann, L. L., Le Masurier, M. and Ebmeier, K. P. (2008). White matter hyperintensities in late life depression: a systematic review. Journal of Neurology, Neurosurgery, and Psychiatry, 79, 619624.CrossRefGoogle ScholarPubMed
Higgins, J. P., Thompson, S. G., Deeks, J. J. and Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327, 557560.CrossRefGoogle ScholarPubMed
Huijts, M., Duits, A., Staals, J. and Van Oostenbrugge, R. J. (2012). Association of Vitamin B12 deficiency with fatigue and depression after lacunar stroke. PloS One, 7, e30519.CrossRefGoogle ScholarPubMed
Huijts, M., Van Oostenbrugge, R. J., Rouhl, R. P., Menheere, P. and Duits, A. (2013). Effects of Vitamin B12 supplementation on cognition, depression, and fatigue in patients with lacunar stroke. International Psychogeriatrics, 25, 508510.CrossRefGoogle ScholarPubMed
Hutter, B. O. and Kreitschmann-Andermahr, I. (2013). Subarachnoid hemorrhage as a psychological trauma. Journal of Neurosurgery. doi:10.3171/2013.11.JNS121552.Google ScholarPubMed
Jokinen, H. et al. (2006). Cognitive Profile of subcortical ischaemic vascular disease. Journal of Neurology, Neurosurgery, and Psychiatry, 77, 2833.CrossRefGoogle ScholarPubMed
Jokinen, H. et al. (2009). MRI-Defined subcortical ischemic vascular disease: baseline clinical and neuropsychological findings. the ladis study. Cerebrovascular Diseases, 27, 336344.CrossRefGoogle ScholarPubMed
Kim, H. J. et al. (2013). The effects of small vessel disease and amyloid burden on neuropsychiatric symptoms: a study among patients with subcortical vascular cognitive impairments. Neurobiology of Aging, 34, 19131920.CrossRefGoogle ScholarPubMed
Komaki, S., Nagayama, H., Ohgami, H., Takaki, H., Mori, H. and Akiyoshi, J. (2008). Prospective study of major depressive disorder with white matter hyperintensity: comparison of patients with and without lacunar infarction. European Archives of Psychiatry and Clinical Neuroscience, 258, 160164.CrossRefGoogle ScholarPubMed
Lavretsky, H. et al. (2008). The MRI brain correlates of depressed mood, anhedonia, apathy, and anergia in older adults with and without cognitive impairment or dementia. International Journal of Geriatric Psychiatry, 23, 10401050.CrossRefGoogle ScholarPubMed
Lavretsky, H. et al. (2010). Association of depressed mood and mortality in older adults with and without cognitive impairment in a prospective naturalistic study. American Journal of Psychiatry, 167, 589597.CrossRefGoogle Scholar
Makin, S. D., Turpin, S., Dennis, M. S. and Wardlaw, J. M. (2013). Cognitive impairment after lacunar stroke: systematic review and meta-analysis of incidence, prevalence and comparison with other stroke subtypes. Journal of Neurology, Neurosurgery, and Psychiatry, 84, 893900.CrossRefGoogle ScholarPubMed
Man, B. L. et al. (2011). Cognitive and functional impairments in ischemic stroke patients with concurrent small vessel and large artery disease. Clinical Neurology and Neurosurgery, 113, 612616.CrossRefGoogle ScholarPubMed
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G. and Group, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. PLoS Medicine, 6, e1000097.CrossRefGoogle ScholarPubMed
O'Brien, J. T. et al. (2006). White matter hyperintensities rather than lacunar infarcts are associated with depressive symptoms in older people: the ladis study. The American Journal of Geriatric Psychiatry, 14, 834841.CrossRefGoogle ScholarPubMed
Ogata, J. (1999). The arterial lesions underlying cerebral infarction. Neuropathology, 19, 112118.CrossRefGoogle ScholarPubMed
Ogawa, Y. et al. (2013). Association of cerebral small vessel disease with delusions in patients with Alzheimer's disease. International Journal of Geriatric Psychiatry, 28, 1825.CrossRefGoogle ScholarPubMed
Paolucci, S., Gandolfo, C., Provinciali, L., Torta, R., Toso, V. and Group, D. S. (2006). The italian multicenter observational study on post-stroke depression (Destro). Journal of Neurology, 253, 556562.CrossRefGoogle ScholarPubMed
Provinciali, L. and Coccia, M. (2002). Post-stroke and vascular depression: a critical review. Neurological Sciences, 22, 417428.CrossRefGoogle ScholarPubMed
Ramasubbu, R., Robinson, R. G., Flint, A. J., Kosier, T. and Price, T. R. (1998). Functional impairment associated with acute poststroke depression: the stroke data bank study. The Journal of Neuropsychiatry and Clinical Neurosciences, 10, 2633.CrossRefGoogle ScholarPubMed
Ramos-Estebanez, C. et al. (2008). Vascular cognitive impairment: prodromal stages of ischemic vascular dementia. Dementia and Geriatric Cognitive Disorders, 25, 451460.CrossRefGoogle ScholarPubMed
Sacco, R. L., Shi, T., Zamanillo, M. C. and Kargman, D. E. (1994). Predictors of mortality and recurrence after hospitalized cerebral infarction in an Urban community: the Northern Manhattan Stroke Study. Neurology, 44, 626634.CrossRefGoogle Scholar
Sacco, S., Marini, C., Totaro, R., Russo, T., Cerone, D. and Carolei, A. (2006). A population-based study of the incidence and prognosis of lacunar stroke. Neurology, 66, 13351338.CrossRefGoogle ScholarPubMed
Santos, M. et al. (2009a). Differential impact of lacunes and microvascular lesions on poststroke depression. Stroke, 40, 35573562.CrossRefGoogle ScholarPubMed
Santos, M. et al. (2009b). The neuroanatomical model of post-stroke depression: towards a change of focus? Journal of the Neurological Sciences, 283, 158162.CrossRefGoogle ScholarPubMed
Santos, M. et al. (2010). Neuropathological analysis of lacunes and microvascular lesions in late-onset depression. Neuropathology and Applied Neurobiology, 36, 661672.CrossRefGoogle ScholarPubMed
Soriano-Raya, J. J., et al. (2012). Deep versus periventricular white matter lesions and cognitive function in a community sample of middle-aged participants. Journal of the International Neuropsychological Society, 18, 874885.CrossRefGoogle Scholar
Staekenborg, S. S. et al. (2010). Behavioural and psychological symptoms in vascular dementia; differences between small- and large-vessel disease. Journal of Neurology, Neurosurgery, and Psychiatry, 81, 547551.CrossRefGoogle ScholarPubMed
Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European Journal of Epidemiology, 25, 603605.CrossRefGoogle ScholarPubMed
Sudlow, C. L. and Warlow, C. P. (1997). Comparable studies of the incidence of stroke and its pathological types: results from an international collaboration. International stroke incidence collaboration. Stroke, 28, 491499.CrossRefGoogle ScholarPubMed
Tang, W. K. et al. (2011). Cerebral microbleeds and depression in lacunar stroke. Stroke, 42, 24432446.CrossRefGoogle ScholarPubMed
Teodorczuk, A. et al. (2010). Relationship between baseline white-matter changes and development of late-life depressive symptoms: 3-Year results from the ladis study. Psychological Medicine, 40, 603610.CrossRefGoogle ScholarPubMed
Thomas, A. J., Perry, R., Kalaria, R. N., Oakley, A., Mcmeekin, W. and O'Brien, J. T. (2003). Neuropathological evidence for ischemia in the white matter of the dorsolateral prefrontal cortex in late-life depression. International Journal of Geriatric Psychiatry, 18, 713.CrossRefGoogle ScholarPubMed
Troisi, E. et al. (2012). Altered cerebral vasoregulation predicts the outcome of patients with partial anterior circulation stroke. European Neurology, 67, 2002005.CrossRefGoogle ScholarPubMed
Van Der Flier, W. M. et al. (2005). Small vessel disease and general cognitive function in nondisabled elderly: the ladis study. Stroke, 36, 21162120.CrossRefGoogle ScholarPubMed
Van Norden, A. G., Van Den Berg, H. A., De Laat, K. F., Gons, R. A., Van Dijk, E. J. and De Leeuw, F. E. (2011). Frontal and temporal microbleeds are related to cognitive function: the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (Run Dmc) study. Stroke, 42, 33823386.CrossRefGoogle ScholarPubMed
Van Norden, A. G. et al. (2013). Cerebral microbleeds are related to subjective cognitive failures: the Run Dmc Study. Neurobiology of Aging, 34, 22252230.CrossRefGoogle ScholarPubMed
Van Uden, I. W. et al. (2011). Depressive symptoms and amygdala volume in elderly with cerebral small vessel disease: the Run Dmc study. Journal of Aging Research, 2011, 647869.CrossRefGoogle ScholarPubMed
Wells, G. A. et al. (2011). The Newcastle-Ottawa Scale (Nos) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses. [Online]. Ottawa: Ottawa Hospital Research Institute. [Accessed October 10, 2013].Google Scholar
White, C. L. et al. (2011). The correlates and course of depression in patients with lacunar stroke: results from the secondary prevention of small subcortical strokes (Sps3) study. Cerebrovascular Diseases, 32, 354360.CrossRefGoogle ScholarPubMed
Whyte, E. M., Mulsant, B. H., Vanderbilt, J., Dodge, H. H. and Ganguli, M. (2004). Depression after stroke: a prospective epidemiological study. Journal of the American Geriatrics Society, 52, 774778.CrossRefGoogle ScholarPubMed
Wolfson, L. et al. (2013). Rapid buildup of brain white matter hyperintensities over 4 Years linked to ambulatory blood pressure, mobility, cognition, and depression in old persons. The Journals of Gerontology. Series A, 68, 13871394.CrossRefGoogle ScholarPubMed
Xiong, Y. Y. et al. (2011). Frequency and predictors of proxy-confirmed post-stroke cognitive complaints in lacunar stroke patients without major depression. International Journal of Geriatric Psychiatry, 26, 11441151.CrossRefGoogle ScholarPubMed
Young, V. G., Halliday, G. M. and Kril, J. J. (2008). Neuropathologic correlates of white matter hyperintensities. Neurology, 71, 804811.CrossRefGoogle ScholarPubMed
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