Assessment of liver enzymes as diagnostic biomarkers in type 2 diabetes mellitus: a cross-sectional study in Zakho, Iraq.

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM

Expert Review of Endocrinology & Metabolism Pub Date : 2024-03-01 Epub Date: 2023-12-04 DOI:10.1080/17446651.2023.2291146

Dilveen Y Ahmed, Lina N Adam, Resan A Ahmed, Mohammed K Mirza

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引用次数: 0

Abstract

Background: This study aimed to identify the prevalence and factors associated with abnormal liver enzyme profiles in individuals with type 2 diabetes (T2D) in Zakho, to assess the association between demographic characteristics, clinical parameters, kidney function tests, lipid profiles, glucose levels, and T2D, and to identify resident risk factors.

Research design and methods: A cross-sectional analysis of T2D patients admitted to Zakho General Hospital was conducted utilizing hospital records. The primary endpoint of interest was attaining HbA1C levels ≥ 6.5%. Analytical methodologies encompassed linear and multivariate logistic regression analyses, with due consideration of the association between diverse parameters and glycemic alterations. Further, the predictive value of biomarkers was evaluated through Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) analyses, complemented by Spearman correlation analysis to explore relationships among laboratory parameters.

Results: The study found that 89.4% of participants had HbA1C levels above 6.5%, with a preference for T2D among older individuals (mean age: 52.93-49.89 respectively) and females. Age, glucose levels, and liver enzymes positively correlated with HbA1C.

Conclusions: The study emphasizes the diagnostic importance of liver enzymes in individuals with type 2 diabetes, suggesting that these biomarkers could be valuable indicators of disease severity and progression.

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肝酶作为2型糖尿病诊断生物标志物的评估:伊拉克Zakho的一项横断面研究

背景:本研究旨在确定Zakho地区2型糖尿病(T2D)患者的患病率和与肝酶异常相关的因素，评估人口统计学特征、临床参数、肾功能测试、脂质谱、血糖水平和T2D之间的关系，并确定居民危险因素。研究设计和方法:利用医院记录对Zakho总医院收治的T2D患者进行横断面分析。主要研究终点为HbA1C≥6.5%。分析方法包括线性和多元逻辑回归分析，并适当考虑不同参数与血糖变化之间的关系。此外，通过受试者工作特征(ROC)曲线和曲线下面积(AUC)分析来评估生物标志物的预测价值，并辅以Spearman相关分析来探索实验室参数之间的关系。结果:研究发现89.4%的参与者HbA1C水平高于6.5%，老年人(平均年龄分别为52.93-49.89)和女性更倾向于T2D。年龄、血糖水平和肝酶与HbA1C呈正相关。结论:该研究强调了肝酶在2型糖尿病个体诊断中的重要性，表明这些生物标志物可能是疾病严重程度和进展的有价值指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Endocrinology & Metabolism ENDOCRINOLOGY & METABOLISM-

CiteScore

4.80

自引率

0.00%

发文量

期刊介绍： Implicated in a plethora of regulatory dysfunctions involving growth and development, metabolism, electrolyte balances and reproduction, endocrine disruption is one of the highest priority research topics in the world. As a result, we are now in a position to better detect, characterize and overcome the damage mediated by adverse interaction with the endocrine system. Expert Review of Endocrinology and Metabolism (ISSN 1744-6651), provides extensive coverage of state-of-the-art research and clinical advancements in the field of endocrine control and metabolism, with a focus on screening, prevention, diagnostics, existing and novel therapeutics, as well as related molecular genetics, pathophysiology and epidemiology.