Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool

Aim

Numerous evidence suggests that diabetes increases the risk of cognitive impairment. This study aimed to develop and validate a multivariable risk score model to identify mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM).

Methods

This cross-sectional study included 1256 inpatients (age: 57.5 ± 11.2 years) with T2DM in a tertiary care hospital in China. MCI was diagnosed according to the criteria recommended by the National Institute on Aging-Alzheimer's Association Workgroup, and a MoCA score of 19-25 indicated MCI. Participants were randomly allocated into the derivation and validation sets at 7:3 ratio. Logistic regression models were used to identify predictors for MCI in the derivation set. A scoring system based on the predictors' beta coefficient was developed. Predictive ability of the risk score was tested by discrimination and calibration methods.

Results

Totally 880 (285 with MCI, 32.4%) and 376 (167 with MCI, 33.8%) patients were allocated in the derivation and validation set, respectively. Age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease were identified as predictors for MCI and constituted the risk score. The AUCs (95% CI) of the risk score were 0.751 (0.717, 0.784) in derivation set and 0.776 (0.727, 0.824) in validation set. The risk score showed good apparent calibration of observed and predicted MCI probabilities and was capable of stratifying individuals into 3 risk categories by two cut-off points (low risk: ≤ 3, medium risk: 4-13, and high risk ≥ 14).

Conclusion

The risk score based on age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease can effectively assess MCI risk in adults with T2DM at different age. It can serve as a practical prescreening tool for early detection of MCI in daily diabetes care.

Associations between complexity of glucose time series and cognitive function in adults with type 2 diabetes

AIMS

To characterize the comparative contributions of different glycaemic indicators to cognitive dysfunction, and further investigate the associations between the most significant indicator and cognitive function, along with related cerebral alterations.

MATERIALS AND METHODS

We performed a cross-sectional study in 449 subjects with type 2 diabetes who completed continuous glucose monitoring and cognitive assessments. Of these, 139 underwent functional magnetic resonance imaging to evaluate cerebral structure and olfactory neural circuit alterations. Relative weight and Sobol's sensitivity analyses were employed to characterize the comparative contributions of different glycaemic indicators to cognitive dysfunction.

RESULTS

Complexity of glucose time series index (CGI) was found to have a more pronounced association with mild cognitive impairment (MCI) compared to glycated haemoglobin, time in range, and standard deviation. The proportion and multivariable-adjusted odds ratios (ORs) for MCI increased with descending CGI tertile (Tertile 1: reference group [≥4.0]; Tertile 2 [3.6-4.0] OR 1.23, 95% confidence interval [CI] 0.68-2.24; Tertile 3 [<3.6] OR 2.27, 95% CI 1.29-4.00). Decreased CGI was associated with cognitive decline in executive function and attention. Furthermore, individuals with decreased CGI displayed reduced olfactory activation in the left orbitofrontal cortex (OFC) and disrupted functional connectivity between the left OFC and right posterior cingulate gyrus. Mediation analysis demonstrated that the left OFC activation partially mediated the associations between CGI and executive function.

CONCLUSION

Decreased glucose complexity closely relates to cognitive dysfunction and olfactory brain activation abnormalities in diabetes.

Weight loss and metabolic benefits of bariatric surgery in China: A multicenter study

BACKGROUND

This retrospective multicenter study evaluated the efficacy and safety of bariatric surgery in Chinese patients with obesity.

METHODS

Patients with obesity who underwent laparoscopic sleeve gastrectomy or laparoscopic Roux-en-Y gastric bypass and completed a 12-month follow-up between February 2011 and November 2019 were enrolled. Weight loss, glycemic and metabolic control, insulin resistance, cardiovascular risk, and surgery-related complications at 12 months were analyzed.

RESULTS

We enrolled 356 patients aged 34.3 ± 0.6 years with a mean body mass index of 39.4 ± 0.4 kg/m2 . Successful weight loss occurred in 54.6%, 86.8%, and 92.7% of patients at 3, 6, and 12 months, respectively, with no difference in percent excess weight loss between the laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass surgery groups. The average percentage of total weight loss was 29.5% ± 0.6% at 12 months; 99.4%, 86.8%, and 43.5% of patients achieved at least 10%, 20%, and 30% weight loss, respectively, at 12 months. Significant improvements in metabolic indices, insulin resistance, and inflammation biomarkers were observed at 12 months.

CONCLUSIONS

Bariatric surgery resulted in successful weight loss and improved metabolic control, insulin resistance, and cardiovascular risk in Chinese patients with obesity. Both laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass are suitable approaches for such patients.