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首页> 外文期刊>Recent patents on endocrine, metabolic & immune drug discovery. >Effect of Fasting Ramadan in Diabetes Control Status - Application of Extensive Diabetes Education, Serum Creatinine with HbA1c Statistical ANOVA and Regression Models to Prevent Hypoglycemia
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Effect of Fasting Ramadan in Diabetes Control Status - Application of Extensive Diabetes Education, Serum Creatinine with HbA1c Statistical ANOVA and Regression Models to Prevent Hypoglycemia

机译:空腹斋月对糖尿病控制状态的影响-广泛的糖尿病教育应用,血清肌酐与HbA1c统计方差分析和回归模型预防低血糖

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摘要

Ramadan fasting is an obligatory duty for Muslims. Unique physiologic and metabolic changes occur during fasting which requires adjustments of diabetes medications. Although challenging, successful fasting can be accomplished if pre-Ramadan extensive education is provided to the patients. Current research was conducted to study effective Ramadan fasting with different OHAs/insulins without significant risk of hypoglycemia in terms of HbA1c reductions after Ramadan. ANOVA model was used to assess HbA1c levels among different education statuses. Serum creatinine was used to measure renal functions. Pre-Ramadan diabetes education with alteration of therapy and dosage adjustments for OHAs/insulin was done. Regression models for HbAlc before Ramadan with FBS before sunset were also synthesized as a tool to prevent hypoglycemia and successful Ramadan fasting in future. Out of 1046 patients, 998 patients fasted successfully without any episodes of hypoglycemia. 48 patients (4.58%) experienced hypoglycemia. x~2 Test for CRD/CKD with hypoglycemia was also significant (p-value < 0.001). Significant associations and linear regression were found for HbAlc and sunset FBS; RBS post-dawn with RBS mid-day and FBS at sunset. The proposed regression models of this study can be used as a guide in future for Ramadan diabetes management. Some relevant patents are also outlined in this paper.
机译:斋月斋戒是穆斯林的一项义务。禁食期间会发生独特的生理和代谢变化,这需要调整糖尿病药物的使用。尽管具有挑战性,但如果对患者进行斋月前的全面教育,就可以成功禁食。目前的研究进行了研究,以斋月后HbA1c的降低来研究不同OHA /胰岛素对斋月的禁食,而没有明显的低血糖风险。方差分析模型用于评估不同教育状况下的HbA1c水平。血清肌酐用于测量肾功能。进行了斋月前糖尿病教育,改变了治疗方法,并调整了OHA /胰岛素的剂量。还合成了斋月之前的HbAlc回归模型和日落之前的FBS回归模型,作为预防低血糖和将来斋月成功禁食的工具。在1046名患者中,有998名患者成功禁食,没有发生任何低血糖事件。 48位患者(4.58%)发生了低血糖症。低血糖的CRD / CKD的x〜2测试也很显着(p值<0.001)。发现HbAlc和日落FBS有显着的相关性和线性回归。 RBS黎明后与RBS中午和FBS在日落。这项研究提出的回归模型可以作为今后斋月糖尿病管理的指南。本文还概述了一些相关的专利。

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