A study of cognitive assessment in Type 2 diabetes mellitus patients

Author(s):  
Bhanu R ◽  
Vinutha S ◽  
Karthiyanee Kutty
Author(s):  
Naveen Kumar ◽  
Veer Bahadur Singh ◽  
Babu Lal Meena ◽  
Deepak Kumar ◽  
Harish Kumar ◽  
...  

Background: Mild Cognitive Impairment (MCI) a transitional stage between normal aging and dementia has been observed more in people with diabetes when compared with general population. The risk factors for MCI in type 2 diabetes mellitus (T2DM) have been defined in elderly patients and aging may itself contribute to declining in cognitive functions. As the large number people with T2DM are under 60years, the prevalence of MCI and factors contributing to it are not much studied. So, this study aimed to find out the factors contributing to MCI in non-elderly T2DM patients.Methods: In this cross-sectional study, 257 patients with T2DM underwent cognitive assessment by Montreal cognitive assessment test and the cognitive levels were correlated with their glycosylated hemoglobin, lipid profile, and highly sensitive C-reactive protein (hsCRP).Results: The prevalence of mild cognitive impairment (MCI) was 64.2%.  MCI significantly correlated with duration of diabetes, socioeconomic status, HbA1c, serum triglycerides, low-density lipoprotein, very low-density lipoprotein and hsCRP levels. The factors that were statistically insignificant were body mass index and high-density lipoprotein levels.Conclusions: Cognitive impairment is seen even in non-elderly T2DM patients. It should be considered along with the other complications of diabetes and individuals with T2DM should be screened for cognitive impairment to prevent progression to dementia.


2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Kannayiram Alagiakrishnan ◽  
Nancy Zhao ◽  
Laurie Mereu ◽  
Peter Senior ◽  
Ambikaipakan Senthilselvan

Aim. This study compares the usefulness of Montreal Cognitive Assessment (MoCA) to Standardized Mini-Mental Status Exam (SMMSE) for diagnosing mild cognitive impairment (MCI) in Type 2 diabetes mellitus (DM) population.Methods. This prospective pilot study enrolled 30 community dwelling adults with Type 2 DM aged 50 years and above. Subjects were assessed using both the SMMSE and MoCA for MCI. In all subjects, depression and dementia were ruled out using the DSM IV criteria, and a functional assessment was done. MCI was diagnosed using the standard test, the European consortium criteria. Sensitivity and specificity analysis, positive and negative predictive values, likelihood ratios and Kappa statistic were calculated.Results. In comparison to consortium criteria, the sensitivity and specificity of MoCA were 67% and 93% in identifying individuals with MCI, and SMMSE were 13% and 93%, respectively. The positive and negative predictive values for MoCA were 84% and 56%, and for SMMSE were 66% and 51%, respectively. Kappa statistics showed moderate agreement between MoCA and consortium criteria (kappa = 0.4) and a low agreement between SMMSE and consortium criteria (kappa = 0.07).Conclusion. In this pilot study, MoCA appears to be a better screening tool than SMMSE for MCI in the diabetic population.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jing Li ◽  
Qihao Zhang ◽  
Nan Zhang ◽  
Lingfei Guo

Background. The underlying brain structural changes in type 2 diabetes mellitus (T2DM) patients have attracted increasing attention. The insulin-resistant state causes iron overload in neurons and leads to lesions in the central nervous system. Quantitative susceptibility mapping (QSM) can provide a noninvasive quantitative analysis of brain iron deposition. We aimed to compare the difference of brain iron deposition in the gray matter nucleus between T2DM patients and healthy elderly individuals using QSM. Methods. Thirty-two T2DM patients and thirty-two age- and gender-matched healthy controls (HCs) were enrolled in this research. Twenty-three patients and twenty-six HCs underwent cognitive assessments. Brain QSM maps were computed from multiecho GRE data using morphology-enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference algorithm (MEDI+0). ITK-SNAP was used to measure the susceptibility values reflecting the content of iron in the regions of interest (ROIs). Results. The study included thirty-two T2DM patients (20 males and 12 females; mean age of 61.09±9.99 years) and 32 HCs (14 males and 18 females; mean age of 59.09±9.77 years). These participants had no significant difference in age or gender (P>0.05). Twenty-three patients with T2DM (11 males and 12 females; mean age, 64.65±8.44 years) and twenty-six HCs (14 males and 12 females; mean age, 62.30±6.13 years) received an assessment of cognitive function. T2DM patients exhibited an obviously (t=3.237, P=0.003) lower Montreal Cognitive Assessment (MoCA) score (26.78±2.35; HCs, 28.42±0.64; normal standard ≥26) and a higher Stroop color-word test (SCWT)-C score [87(65,110); HC, 63(60,76.75), Z=−2.232, P=0.003] than HCs. The mean susceptibility values in the putamen appeared obviously higher in T2DM patients than in HCs (t=−3.994, P<0.001). The susceptibility values and cognitive assessment scores showed no obvious association (P>0.05). However, an obvious correlation was observed between the changes in the susceptibility values in the putamen and the thalamus/dentate nucleus (r=0.404, P<0.001; r=0.423, P<0.001). Conclusion. T2DM patients showed increased susceptibility values in the putamen and had declines in executive functions, but the linear association between them was not statistically significant. Changes in susceptibility values in the putamen indicated increased iron deposition and might be used as a quantitative imaging marker of central nervous system injury in T2DM patients. QSM might be able to help probe micro neuronal damage in gray matter and provide information on diabetic encephalopathy.


Author(s):  
Fouad Fathy Bahgat ◽  
Ibrahim Majed Fetyani ◽  
Ali Hamad Alnasser ◽  
Abdulmohsen Mohammed Alkhalaf ◽  
Mohammed Omar Baqais ◽  
...  

Type 2 Diabetes Mellitus (T2DM) is a major health issue in Saudi Arabia, with a prevalence of 23.7% in 2015. Several factors contribute to the occurrence of Mild Cognitive Impairment (MCI) and its progression to Alzheimer's disease in patients with T2DM. This study assesses MCI and fatigue severity and their relationship in patients with T2DM. Out of the 160 Saudi adults interviewed at the King Khalid University Hospital in Riyadh from October 2019 till March 2020, 80 were known cases of T2DM while the rest were non-diabetic individuals. The Montreal Cognitive Assessment (MoCA) test, Mini Mental State Exam (MMSE) and Fatigue Severity Score (FSS) were used to evaluate MCI and fatigue severity, respectively. According to the MoCA scale, 68.7% diabetic individuals as against 42.5% from the non-diabetic group had MCI. While the FSS showed that 40% of the diabetic group vs 26.3% of the non-diabetic were fatigued. In conclusion, patients with T2DM are at a higher risk of developing MCI. Keywords: Type 2 diabetes mellitus, Mild cognitive impairment, Fatigue, Mini mental state exam, Montreal Cognitive Assessment, Saudi Arabia.


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