المؤلفون: Fanyuan Ma, Qian Zhang, Juan Shi, Shuaifeng Li, Liping Wu, Hua Zhang

المصدر: BMC Endocrine Disorders, Vol 23, Iss 1, Pp 1-11 (2023)

مصطلحات موضوعية: Cognitive dysfunction, Type 2 diabetes mellitus, Glycemic management, Dementia, Diseases of the endocrine glands. Clinical endocrinology, RC648-665

الوصف: Abstract Background Epidemiological evidence shows a robust relationship between cognitive dysfunction and type 2 diabetes mellitus (T2DM). This study identified major risk factors that might prevent or ameliorate T2DM-associated cognitive dysfunction in the realm of clinical practice. Methods Using Mini-mental State Examination (MMSE) in the light of education level, we identified older adults with T2DM on admission aged 50 and above. We conducted this case–control study when eligible participants were divided into Cognitively Normal (CN) group and Cognitively Impaired (CI) group. Analytical data referred to demographic characteristics, clinical features, fluid biomarkers, and scale tests. Results Of 596 records screened, 504 cases were included in the final analysis. Modified multivariate logistic regression analysis verified that homocysteine (OR = 2.048, 95%CI = 1.129–3.713), brain infarction (OR = 1.963, 95%CI = 1.197–3.218), dementia (OR = 9.430, 95%CI = 2.113–42.093), education level (OR = 0.605, 95%CI = 0.367–0.997), severity of dependence (OR = 1.996, 95%CI = 1.397–2.851), creatine kinase (OR = 0.514, 95%CI = 0.271–0.974) were significant risk factors of incident T2DM-related cognitive dysfunction in patients of advanced age. Conclusion Our study supported a robust relationship between T2DM and cognitive dysfunction. Our results provide clinicians with major risk factors for T2DM-related cognitive dysfunction, in particular the protective role of creatine kinase.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1472-6823Test

الوصول الحر: https://doaj.org/article/158bc99154b342d7934ccfb5cee6358eTest

المؤلفون: Xu Hou, Dongmei Zheng, Yizhou Zou, Wanli Wang

المصدر: BMC Endocrine Disorders
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-8 (2021)

مصطلحات موضوعية: Adult, Blood Glucose, Male, medicine.medical_specialty, China, endocrine system diseases, Endocrinology, Diabetes and Metabolism, Type 2 diabetes, Glycemic Control, Hypoglycemia, lcsh:Diseases of the endocrine glands. Clinical endocrinology, Internal medicine, Diabetes mellitus, medicine, Health Status Indicators, Humans, Glycemic variability, Continuous glucose monitoring, Glycemic, Aged, Blood glucose monitoring, Glycated Hemoglobin, Observer Variation, lcsh:RC648-665, medicine.diagnostic_test, business.industry, Blood Glucose Self-Monitoring, Diabetes, nutritional and metabolic diseases, General Medicine, Middle Aged, medicine.disease, Independent factor, Glycemic management, Diabetes Mellitus, Type 2, Data Interpretation, Statistical, Cardiology, Female, Analysis of variance, business, Research Article

الوصف: Background There are many continuous blood glucose monitoring (CGM) data-based indicators, and most of these focus on a single characteristic of abnormal blood glucose. An ideal index that integrates and evaluates multiple characteristics of blood glucose has not yet been established. Methods In this study, we proposed the glycemic deviation index (GDI) as a novel integrating characteristic, which mainly incorporates the assessment of the glycemic numerical value and variability. To verify its effectiveness, GDI was applied to the simulated 24 h glycemic profiles and the CGM data of type 2 diabetes (T2D) patients (n = 30). Results Evaluation of the GDI of the 24 h simulated glycemic profiles showed that the occurrence of hypoglycemia was numerically the same as hyperglycemia in increasing GDI. Meanwhile, glycemic variability was added as an independent factor. One-way ANOVA results showed that the application of GDI showed statistically significant differences in clinical glycemic parameters, average glycemic parameters, and glycemic variability parameters among the T2D groups with different glycemic levels. Conclusions In conclusion, GDI integrates the characteristics of the numerical value and the variability in blood glucose levels and may be beneficial for the glycemic management of diabetic patients undergoing CGM treatment.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0145f303b91844aec087b4dc32754974Test
https://pubmed.ncbi.nlm.nih.gov/33736619Test