2 型糖尿病患者血糖控制不良的比例和潜在风险因素:伊拉克巴格达一家三级医疗中心的经验,2020 年

Zahraa A. Zaboon Al-Majidi, Faris H. Lami, S. Hakimi
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引用次数: 0

摘要

背景:糖尿病是全球最普遍的代谢性疾病。有效的糖尿病自我管理和将糖化血红蛋白水平控制在正常范围内,可以减少入院人数和糖尿病并发症,从而减轻医疗系统的负担,降低医疗系统的经济压力:认识伊拉克巴格达 2 型糖尿病患者血糖控制不佳的潜在风险因素:这项横断面研究于 2020 年 6 月至 11 月在伊拉克巴格达 Al-Kindy 教学医院的糖尿病和内分泌中心进行。参与研究的总人数为 234 人。根据糖化血红蛋白 7 的临界点,糖化血红蛋白≥7 的患者被视为未受控制,糖化血红蛋白为 0.05 的患者被视为未受控制。)二元分析显示,控制状态与受教育程度(P=0.001)、收入(P=0.001)、是否有合并症(P=0.028)、阳性家族史(P=0.03)、血脂异常(P=0.001)、胆固醇水平(P=0.002)、甘油三酯水平高(P=0.001)和低密度脂蛋白胆固醇水平(P=0.025)之间存在显著关联。吸烟状况、体重指数和高密度脂蛋白胆固醇水平与控制状况无明显相关性(P>0.05)。病程、空腹血糖、用药类型、自我监测、健康饮食、体力活动和用药依从性等疾病特征是重要的影响因素(P<0.001)。多变量回归法显示,血脂异常、FBS≥130、缺乏体力活动和服药依从性差是DM失控的重要预测因素(P值分别为0.03、0.001、0.03和0.043):结论:导致糖尿病控制不良的最重要的潜在可改变风险因素是血脂异常、缺乏运动和不遵守管理方案。加强对患者及其医疗服务提供者有关这些因素的教育对于改善患者的控制状况至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proportion and Potential Risk Factors of Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: Experience of a Tertiary Center in Baghdad, Iraq, 2020
Background: Diabetes Mellitus is the most prevalent metabolic disorder worldwide. Effective diabetes self-management and keeping the Glycosylated hemoglobin level within the normal range could decrease the burden on the health system by reducing hospital admissions and diabetic complications, lowering the financial strain on the health system. Objective: To recognize the potential risk factors of poor glycemic control in patients having type 2 Diabetes Mellitus in Baghdad, Iraq. Patients and Methods: This cross-sectional study was conducted in the Diabetes and Endocrine Center at Al-Kindy Teaching Hospital, Baghdad, Iraq, from June to November 2020. The total number of the study's participants was 234. Based on the cutoff point of glycosylated hemoglobin of 7, the patients with glycosylated hemoglobin of ≥7 were considered uncontrolled, and those with glycosylated hemoglobin of <7 were considered controlled. Results: The proportion of cases with uncontrolled diabetes was 68.4% (160). The remaining 74 patients had controlled diabetes. Age, sex, marital status, and employment status were not significantly associated with the control status (P>0.05). The binary analysis showed a significant association observed between the control status and level of education (P=0.001), income (P=0.001), presence of comorbidities (P=0.028), positive family history (P=0.03), dyslipidemia (P=0.001), cholesterol level (P=0.002), high triglyceride level (P=0.001), and low-density lipoprotein-cholesterol level (P=0.025). The smoking status, body mass index, and high-density lipoprotein-cholesterol level were not significantly associated with the control status (P>0.05). The disease characteristics, including the disease duration, fasting blood glucose, type of medication, self-monitoring, healthy diet, physical activity, and medication adherence, were significant factors (P<0.001). The multivariate regression method showed that dyslipidemia, FBS≥130, physical inactivity, and poor medication adherence were significant predictors for uncontrolled DM (P-value = 0.03, 0.001, 0.03, and 0.043, respectively). Conclusion: The most important potentially modifiable risk factors for poor diabetes control were dyslipidemia, physical inactivity, and poor adherence to the management protocol. Enhancing the education of patients and their healthcare providers on these factors is crucial to improving the patients’ control status.
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