Cerebral Small Vessel Disease is Associated with Mild Cognitive Impairment in Type 2 Diabetes Mellitus

被引:11
作者
Teng, Zhenjie [1 ,2 ]
Feng, Jing [3 ]
Liu, Ronghui [4 ]
Dong, Yanhong [2 ]
Chen, Huifang [2 ]
Xu, Jing [2 ]
Jiang, Xin [2 ]
Li, Rui [2 ]
Lv, Peiyuan [1 ,2 ,5 ]
机构
[1] Hebei Med Univ, Dept Neurol, Shijiazhuang, Hebei, Peoples R China
[2] Hebei Gen Hosp, Dept Neurol, Shijiazhuang, Hebei, Peoples R China
[3] Hebei Gen Hosp, Dept Endocrinol, Shijiazhuang, Hebei, Peoples R China
[4] Hebei Gen Hosp, Dept Radiol, Shijiazhuang, Hebei, Peoples R China
[5] Hebei Gen Hosp, Dept Neurol, 348 Heping West Rd, Shijiazhuang 050051, Hebei, Peoples R China
来源
DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY | 2022年 / 15卷
关键词
type 2 diabetes mellitus; mild cognitive impairment; cerebral small vessel disease; PERIVASCULAR SPACES; BRAIN CHANGES; MRI; DYSFUNCTION; DEMENTIA; RISK; MICROBLEEDS; DIAGNOSIS; DECLINE; PEOPLE;
D O I
10.2147/DMSO.S368725
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment, but the underlying cerebral small vessel disease (CSVD)-related structural brain correlates are unclear. The aim of this study was to investigate the relationship between various imaging markers of CSVD and mild cognitive impairment (MCI) in patients with T2DM. Methods: A total of 228 eligible participants with T2DM who were divided into MCI group and normal cognitive group based on neuropsychological assessment were enrolled in this retrospective study. White matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces (EPVS) were evaluated based on brain magnetic resonance imaging (MRI). The total CSVD burden score was calculated by combining the above four markers of CSVD. Binary logistic regression analysis was used to evaluate the relationship between different imaging markers of CSVD and MCI in patients with T2DM. Kruskal-Wallis test and Jonckheere-Terpstra test were used to compare mean MoCA scores among individuals with varying CSVD markers. Results: In the multivariate binary logistic regression analyses, moderate or severe total CSVD burden (OR: 3.29, 95% CI: 1.63-7.38, P=0.004; OR: 10.97, 95% CI: 4.94-24.34, P<0.001, respectively), moderate dWMH (OR: 3.26, 95% CI: 1.43-7.41, P=0.005), extensive lacunes (OR: 4.97, 95% CI: 1.79-13.81, P=0.002), and moderate BG-EPVS (OR: 3.84, 95% CI: 1.81-8.13, P<0.001) were associated with MCI in patients with T2DM related to MCI after adjusting for potential confounders. There was a trend for significant decrease in MoCA scores with increase severity of dWMH, pWMH, lacunes, BG-EPVS, deep CMBs, or total CSVD burden (P for Conclusion: Different imaging markers of CSVD, particularly total CSVD burden, were associated with an increased risk of MCI and decline in MoCA scores in patients with T2DM. These findings may provide clues for future studies to explore early diagnostic imaging markers of cognitive impairment in relation to T2DM.
引用
收藏
页码:1985 / 1994
页数:10
相关论文
共 44 条
[1]   The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease [J].
Albert, Marilyn S. ;
DeKosky, Steven T. ;
Dickson, Dennis ;
Dubois, Bruno ;
Feldman, Howard H. ;
Fox, Nick C. ;
Gamst, Anthony ;
Holtzman, David M. ;
Jagust, William J. ;
Petersen, Ronald C. ;
Snyder, Peter J. ;
Carrillo, Maria C. ;
Thies, Bill ;
Phelps, Creighton H. .
ALZHEIMERS & DEMENTIA, 2011, 7 (03) :270-279
[2]  
Alberti KGMM, 1998, DIABETIC MED, V15, P539, DOI 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO
[3]  
2-S
[4]  
American Diabetes Association, 2021, DIABETES CARE, V44, pS168, DOI [10.2337/dc21-S012, DOI 10.2337/DC21-S012]
[5]   Diabetes mellitus in midlife and the risk of dementia three decades later [J].
Beeri, MS ;
Goldbourt, U ;
Silverman, JM ;
Noy, S ;
Schmeidler, J ;
Ravona-Springer, R ;
Sverdlick, A ;
Davidson, M .
NEUROLOGY, 2004, 63 (10) :1902-1907
[6]   Cognitive dysfunction in diabetes: how to implement emerging guidelines [J].
Biessels, Geert J. ;
Whitmer, Rachel A. .
DIABETOLOGIA, 2020, 63 (01) :3-9
[7]   Understanding multifactorial brain changes in type 2 diabetes: a biomarker perspective [J].
Biessels, Geert Jan ;
Nobili, Flavio ;
Teunissen, Charlotte E. ;
Simo, Rafael ;
Scheltens, Philip .
LANCET NEUROLOGY, 2020, 19 (08) :699-710
[8]   Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications [J].
Biessels, Geert Jan ;
Despa, Florin .
NATURE REVIEWS ENDOCRINOLOGY, 2018, 14 (10) :591-604
[9]   Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions [J].
Biessels, Geert Jan ;
Strachan, Mark W. J. ;
Visseren, Frank L. J. ;
Kappelle, L. Jaap ;
Whitmer, Rachel A. .
LANCET DIABETES & ENDOCRINOLOGY, 2014, 2 (03) :246-255
[10]   Spatiotemporal Dynamics of Cerebral Vascular Permeability in Type 2 Diabetes-Related Cerebral Microangiopathy [J].
Chen, Ying-Chen ;
Lu, Bing-Ze ;
Shu, Yu-Chen ;
Sun, Yuan-Ting .
FRONTIERS IN ENDOCRINOLOGY, 2022, 12