低于百分之九十九的高敏感性肌钙蛋白T水平与糖尿病肾病之间的关系:一项横断面研究

IF 4.2 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Xiao-Yan Luo, Li-Hua Huang, Kun-Peng Kang
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引用次数: 0

摘要

背景:心肌损伤的鉴定传统上依赖于高灵敏度肌钙蛋白T (hs-TnT)水平超过第99个百分位阈值。然而,检测到hs-TnT水平低于这一阈值的患者代表了一个异质性群体,其风险特征不充分。目的:探讨糖尿病患者hs-TnT水平低于99百分位与糖尿病肾病(DKD)的关系。方法:本研究分析了1999年至2004年国家健康与营养调查的数据,重点是2型糖尿病成年人。测定血清hs-TnT浓度。DKD定义为糖尿病患者肾小球滤过率受损(< 60 mL/min /1.73 m²)、蛋白尿(尿白蛋白与肌酐比值≥30 mg/g),或两者兼有。采用加权多变量logistic回归分析和限制三次样条分析检验hs-TnT与DKD的独立相关性,采用似然比检验评价非线性。结果:纳入2505例患者,平均年龄55.02岁(标准误差0.72),其中女性44.87%。其中909例(32.34%)被诊断为DKD。多变量logistic回归分析表明,与hs-TnT的最低分位数(< 5.93 ng/L)相比,分位数2 (5.94 ~ 9.79 ng/L)的比值比为1.25(95%可信区间:0.77 ~ 2.02,P = 0.350),分位数3 (9.80 ~ 21.88 ng/L)的比值比为2.07(95%可信区间:1.13 ~ 3.80,P = 0.022),且趋势显著(P = 0.022)。平滑曲线拟合表明,在总体人群(非线性P = 0.061)、男性亚群(非线性P = 0.136)和女性亚群(非线性P = 0.067)中,hs-TnT水平与DKD之间存在线性关联。进一步的分层和敏感性分析得出了一致的结论。结论:我们的研究结果表明,在2型糖尿病患者中,检测到的hs-TnT水平低于第99百分位与DKD有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between high-sensitivity troponin T levels below the ninety-ninth percentile and diabetic kidney disease: A cross-sectional study.

Background: Identification of myocardial injury has traditionally relied on high-sensitivity troponin T (hs-TnT) levels exceeding the 99th percentile threshold. However, patients with detectable hs-TnT levels below this threshold represent a heterogeneous group with an inadequately characterized risk profile.

Aim: To investigate the association between hs-TnT levels below the 99th percentile and the presence of diabetic kidney disease (DKD) in patients with diabetes mellitus.

Methods: This study analyzed data from the National Health and Nutrition Examination Survey obtained between 1999 and 2004, focusing on adults with type 2 diabetes mellitus. Serum hs-TnT concentrations were evaluated. DKD was defined as impaired glomerular filtration rate (< 60 mL/minute/1.73 m²), proteinuria (urinary albumin-to-creatinine ratio of ≥ 30 mg/g), or both conditions in patients with diabetes mellitus. Weighted multivariable logistic regression analysis and restricted cubic spline analyses were employed to examine the independent association between hs-TnT and DKD, with the likelihood ratio test being used to evaluate nonlinearity.

Results: The study included 2505 patients with a mean age of 55.02 (standard error: 0.72) years, of whom 44.87% were females. Among the participants, 909 (32.34%) were diagnosed with DKD. Multivariable logistic regression analysis indicated that, compared to the lowest tertile of hs-TnT (< 5.93 ng/L), tertile 2 (5.94-9.79 ng/L) had an odds ratio of 1.25 (95% confidence interval: 0.77-2.02, P = 0.350), while tertile 3 (9.80-21.88 ng/L) had an odds ratio of 2.07 (95% confidence interval: 1.13-3.80, P = 0.022), with a significant trend (P for trend = 0.022). Smoothed curve fitting demonstrated a linear association between hs-TnT levels and DKD in the overall population (P = 0.061 for nonlinearity) and in male (P = 0.136 for nonlinearity) and female (P = 0.067 for nonlinearity) subgroups. Further stratification and sensitivity analyses yielded consistent conclusions.

Conclusion: Our study findings suggest that in individuals with type 2 diabetes, detectable hs-TnT levels below the 99th percentile are associated with DKD.

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来源期刊
World Journal of Diabetes
World Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
自引率
2.40%
发文量
909
期刊介绍: The WJD is a high-quality, peer reviewed, open-access journal. The primary task of WJD is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of diabetes. In order to promote productive academic communication, the peer review process for the WJD is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJD are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in diabetes. Scope: Diabetes Complications, Experimental Diabetes Mellitus, Type 1 Diabetes Mellitus, Type 2 Diabetes Mellitus, Diabetes, Gestational, Diabetic Angiopathies, Diabetic Cardiomyopathies, Diabetic Coma, Diabetic Ketoacidosis, Diabetic Nephropathies, Diabetic Neuropathies, Donohue Syndrome, Fetal Macrosomia, and Prediabetic State.
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