探讨糖化血红蛋白(Hba1c)作为预测2型糖尿病患者痴呆和认知功能障碍的生物标志物的作用

Aman Gupta, A. Singh, R. Deka, Rakesh K. Gupta, Ritu Jha
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引用次数: 6

摘要

糖尿病是全球主要疾病负担之一。未控制的糖尿病患者的重要并发症之一是认知功能障碍和痴呆。在本研究中,我们重点研究了HbA1C作为预测2型糖尿病痴呆和认知功能障碍的生物标志物的评估。研究目的:一项初步研究,探讨HbA1C在医院环境中作为预测2型糖尿病患者痴呆和认知功能障碍的生物标志物。方法和结果:对60例2型糖尿病患者(n=30;n=30名非糖尿病患者)入组。在本研究中,HbA1C值与个体记忆和认知电池*评分相关。HbA1C值范围为7.1 ~ 13.3。糖尿病组(n=30) HbA1C平均值为9.19。糖尿病组各认知电池的Pearson’s Correlation r对应值为:全科医生认知评估(GPCOG)=-0.53;辅助信息工具(AI)=-0.43;记忆损伤屏幕(MIS)=-0.37;Pearson’s Correlation“r”为负值,表示各自的电池得分越低,认知功能越差。糖尿病组GPCOG、AI、MIS与HBA1C显著相关。同样,在非糖尿病组(n=30)中,当给予同一组认知电池时,未记录明显的痴呆和认知障碍。结论:HbA1C作为生物标志物对未控制的糖尿病患者的痴呆和认知能力下降有很大的预测潜力。然而,这项研究需要在更大的范围内进行,并与功能磁共振成像和其他标准生物标志物等工具进行比较分析。
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To Investigate Role of Glycosylated Hemoglobin (Hba1c) as a Biomarker for Prediction of Dementia and Cognitive Dysfunction in Type 2 Diabetic Patients
Introduction: Diabetes Mellitus is one the major disease burden globally. One of the significant complications of the uncontrolled Diabetics is Cognitive dysfunction and Dementia. In this study we laid focus on the Evaluation of HbA1C as a Biomarker to predict Dementia and Cognitive Dysfunction in Type 2 Diabetic Mellitus. Aim of the study: A pilot study to investigate HbA1C as a Biomarker for prediction of Dementia and Cognitive Dysfunction in Type 2 Diabetic Mellitus in a Hospital Setting. Methods and results: A prevalence study in which 60 subjects (n=30 Type 2 Diabetics; n=30 non Diabetic) were enrolled. In this study HbA1C values were correlated with that of individual memory and cognition batteries* score. The range of the HbA1C values was 7.1 to 13.3. The mean values of HbA1C in the Diabetic group (n=30) was found to be 9.19.The corresponding values of Pearson’s Correlation “r” in the diabetic group of the w.r.t. various Cognitive batteries were: General Practitioner Assessment of Cognition (GPCOG)=-0.53; Attendant Informant Tool (AI)=-0.43; Memory Impairment Screen (MIS)=-0.37; Negative values of the Pearson’s Correlation “r” indicates that lower the respective battery score, poorer is the cognitive function. In the Diabetic group GPCOG, AI and MIS were found to be significantly correlated with HBA1C. Similarly, in the non- Diabetic group (n=30), no significant Dementia and Cognitive Impairment was recorded when same group of Cognitive Batteries were administered. Conclusion: It is quite evident from the results that HbA1C as biomarker has a great potential to predict Dementia and Cognitive decline in uncontrolled Diabetes. However, the study needs to be conducted on a larger scale along with comparative analysis with tools like Functional MRI and other standard biomarkers.
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