潜在血鸥相关性、HbA1c和参与特征的分析

N. Hasanah, Zullies Ikawati, Apt.
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摘要

糖化血红蛋白(HbA1c)测量被推荐作为长期血糖监测糖尿病患者的金标准,因为单独的空腹血糖(FBG)模式不能提供关于2型糖尿病(T2DM)患者血糖变异性的准确信息。然而,由于经济原因,许多患者无法获得HbA1c检测。有必要了解HbA1c与GDP的关系,以及影响因素,特别是研究参与者的特征。这项横断面设计的分析性观察研究纳入了2020年1月至5月日惹省医院、门诊和社区的100名T2DM患者。HbA1c和FPG测量由课题组使用毛细血管血液样本进行。通过与参与者的直接访谈获得特征数据,然后使用SPSS version 25 for windows,使用卡方检验,Kolmogorov-Smirnov检验和Spearman's rho检验进行分析。结果显示,FPG与HbA1c呈正相关,呈中度相关标准(r=0.74, p值<0.0001)。FPG与血糖仪所有权变量呈显著负相关(r=-0.22, p值= 0.04),与其他参数无关。同时,HbA1c与年龄(r=-0.26, p值=0.01)、文化程度(r=-0.22, p值=0.04)、合病(r=- 0,24, p值=0.02)、常规用药(r=-0.29, p值=0.01)、是否拥有血糖仪(r=-0.26, p值=0.01)呈显著负相关,与性别、吸烟状况、日常菜单、体育锻炼无关。由此可见,GDP和HbA1c均可作为评估血糖状态的参考指标。
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Analisis Korelasi Gula Darah Puasa, HbA1c, dan Karakteristik Partisipan
Hemoglobin A1c (HbA1c) measurement is recommended as the gold standard in long-term blood sugar monitoring the diabetes patients because the fasting blood sugar (FBG) pattern alone cannot provide accurate information regarding the blood sugar variability true picture in type 2 Diabetes mellitus (T2DM) patients. However, many patients have limited access to HbA1c testing for financial reasons. It is necessary to know the relationship between HbA1c and GDP, and the factors that influence it, especially the research participant characteristics. This analytic observational study with a cross-sectional design involved 100 participants from T2DM patients in the hospital, outpatient clinics, and communities in Yogyakarta Province from January-May 2020. The HbA1c and FPG measurement was carried out using capillary blood samples by the research team. Characteristic data were obtained through direct interviews with participants, then analyzed using SPSS version 25 for windows, using the chi-square, Kolmogorov-Smirnov, and Spearman's rho test. The results showed that FPG was significantly positively correlated with HbA1c with moderate correlation criteria (r=0.74, P-value<0.0001). FPG showed a significant negative correlation to the glucometer ownership variable (r=-0.22, P-value= 0.04), and was independent of other parameters. Meanwhile, HbA1c significantly negatively correlated with age (r=-0.26, P-value=0.01), education level (r=-0.22, P-value=0.04), comorbidity (r=-0, 24, P-value=0.02), routine drug consumption (r=-0.29, P-value=0.01) and the ownership of glucometer (r=-0.26, P-value=0.01), but independent of gender, smoking status, daily menu, and physical exercise. It can be concluded that both GDP and HbA1c can be used as a reference for assessing glycemic status.
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