Glycemic deviation index: a novel method of integrating glycemic numerical value and variability
| العنوان: | Glycemic deviation index: a novel method of integrating glycemic numerical value and variability |
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| المؤلفون: | Xu Hou, Dongmei Zheng, Yizhou Zou, Wanli Wang |
| المصدر: | BMC Endocrine Disorders BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-8 (2021) |
| سنة النشر: | 2020 |
| 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. |
| تدمد: | 1472-6823 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0145f303b91844aec087b4dc32754974Test https://pubmed.ncbi.nlm.nih.gov/33736619Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0145f303b91844aec087b4dc32754974 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14726823 |
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