2型糖尿病住院患者糖化血红蛋白水平的影响因素

G. Milyukova, A. Peskov, Natal'ya Manina, M.P. Khokhlov, E. Yudina, T.S. Golubtsova, I.R. Kerova, S.A. Pribylova, Roksana Mamedova, Alisa Ismailova
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摘要

2型糖尿病是当今社会重要的疾病,其患者数量增长速度快,且易发生微血管和大血管并发症。现代糖尿病学认为糖化血红蛋白水平是诊断2型糖尿病最重要的工具。治疗的效果是通过这个指标的目标值来评估的。该研究的目的是分析2型糖尿病患者的糖化血红蛋白水平与一些临床和流行病学特征之间的相关性,这些特征是描述患者状态所必需的。材料与方法。作者对2020年在乌里扬诺夫斯克地区临床医院内分泌科住院的2型糖尿病患者的病史进行了回顾性分析。采用连续抽样方法。结果得出了诊断与糖化血红蛋白值的相关性。使用Statistica 13 (StatSoft)软件进行数据处理。当患者住院时,通过生物Rad分析仪上的高效液相色谱法评估一次糖化血红蛋白水平。结果。在进行多变量回归分析时,发现“糖化血红蛋白- 2型糖尿病遗忘持续时间”和“糖化血红蛋白-与2型糖尿病无关的合并诊断数”对呈接近线性的负相关。这种模式可能是由于疾病持续时间较长和合并症病理范围较广,增加了患者对治疗和医生建议的依从性。结论。所进行的工作使我们能够阐明影响2型糖尿病患者治疗依从性的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACTORS AFFECTING THE LEVEL OF GLYCATED HEMOGLOBIN IN HOSPITALIZED TYPE 2 DIABETES MELLITUS PATIENTS
Today type 2 diabetes mellitus is a socially significant disease with a high growth rate in the number of patients and the risk micro- and macrovascular complications. Modern diabetology considers the level of glycated hemoglobin to be the most important tool for diagnosing type 2 diabetes mellitus. The efficacy of therapy is assessed by the target values of this very indicator. The aim of the study was to analyze the correlation between the level of glycated hemoglobin in type 2 diabetes mellitus patients, hospitalized to a specialized endocrinology department, and a number of clinical and epidemiological characteristics that are mandatory for describing the patient’s status. Materials and Methods. The authors conducted a retrospective analysis of case histories of type 2 diabetes mellitus patients hospitalized to the endocrinology department of Ulyanovsk Regional Clinical Hospital in 2020. Continuous sampling method was used. Results on the correlation between the diagnosis and the glycated hemoglobin value were obtained. Statistica 13 (StatSoft) was used for data processing. The level of glycated hemoglobin was assessed once, when the patient was hospitalized, by high performance liquid chromatography on a Bio Rad analyzer. Results. When conducting multivariate regression analysis, negative correlations close to linear were found in the pairs “glycated hemoglobin - duration of type 2 diabetes mellitus anamnesis” and “glycated hemoglobin - number of concomitant diagnoses not associated with type 2 diabetes mellitus”. Such patterns may be explained by the fact that a longer duration of the disease and a wider range of comorbid pathologies increase patients’ adherence to treatment and physician’s recommendations. Conclusion. The work conducted allows us to clarify the mechanisms of influence on the patient's compliance in type 2 diabetes mellitus treatment.
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