Literature DB >> 32715831

Cerebral Small-Vessel Disease and Risk of Incidence of Depression: A Meta-Analysis of Longitudinal Cohort Studies.

Yuanyuan Fang1, Tingting Qin2, Wenhua Liu3, Lusen Ran1, Yuan Yang1, Hao Huang1, Dengji Pan1, Minghuan Wang1.   

Abstract

Background Results of several longitudinal cohort studies suggested an association between cerebral small-vessel disease and depression. Therefore, we performed a meta-analysis to explore whether cerebral small-vessel disease imparts increased risk for incident depression. Methods and Results We searched prospective cohort studies relevant to the relationship between cerebral small-vessel disease and incident depression published through September 6, 2019, which yielded 16 cohort studies for meta-analysis based on the relative odds ratio (OR) calculated with fixed- and random-effect models. Baseline white matter hyperintensities (WMHs) (pooled OR, 1.37; 95% CI, 1.14-1.65), enlarged perivascular spaces (pooled OR, 1.33; 95% CI, 1.03-1.71), and cerebral atrophy (pooled OR, 2.83; 95% CI, 1.54-5.23) were significant risk factors for incident depression. Presence of deep WMHs (pooled OR, 1.47; 95% CI, 1.05-2.06) was a stronger predictor of depression than were periventricular WMHs (pooled OR, 1.31; 95% CI, 0.93-1.86). What's more, the pooled OR increased from 1.20 for the second quartile to 1.96 for the fourth quartile, indicating that higher the WMH severity brings greater risk of incident depression (25th-50th: pooled OR, 1.20; 95% CI, 0.68-2.12; 50th-75th; pooled OR, 1.42; 95% CI, 0.81-2.46; 75th-100th: OR, 1.96; 95% CI, 1.06-3.64). These results were stable to subgroup analysis for age, source of participants, follow-up time, and methods for assessing WMHs and depression. Conclusions Cerebral small-vessel disease features such as WMHs, enlarged perivascular spaces, and cerebral atrophy, especially the severity of WMHs and deep WMHs, are risk factors for incident depression.

Entities:  

Keywords:  cerebral small‐vessel disease; cohort studies; incident depression; meta‐analysis

Year:  2020        PMID: 32715831     DOI: 10.1161/JAHA.120.016512

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


  5 in total

Review 1.  The enigma of vascular depression in old age: a critical update.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2022-06-15       Impact factor: 3.850

Review 2.  Microvascular Dysfunction as a Systemic Disease: A Review of the Evidence.

Authors:  Daniel S Feuer; Eileen M Handberg; Borna Mehrad; Janet Wei; C Noel Bairey Merz; Carl J Pepine; Ellen C Keeley
Journal:  Am J Med       Date:  2022-04-23       Impact factor: 5.928

3.  The etiologies of post-stroke depression: Different between lacunar stroke and non-lacunar stroke.

Authors:  Ke-Wu Wang; Yang-Miao Xu; Chao-Bin Lou; Jing Huang; Chao Feng
Journal:  Clinics (Sao Paulo)       Date:  2022-08-23       Impact factor: 2.898

4.  Association of Serum Interleukin-8 and Serum Amyloid A With Anxiety Symptoms in Patients With Cerebral Small Vessel Disease.

Authors:  Li-Li Shan; Yi-Lin Wang; Tian-Ci Qiao; Yue-Feng Bian; Ya-Jing Huo; Cen Guo; Qian-Yun Liu; Zi-Dong Yang; Ze-Zhi Li; Ming-Yuan Liu; Yan Han
Journal:  Front Neurol       Date:  2022-07-08       Impact factor: 4.086

Review 5.  Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.

Authors:  Olivia Remes; João Francisco Mendes; Peter Templeton
Journal:  Brain Sci       Date:  2021-12-10
  5 in total

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