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C 反应蛋白与白蛋白比值与 2 型糖尿病 8 年发病率:韩国基因组与流行病学研究。

C-reactive protein-to-albumin ratio and 8-year incidence of type 2 diabetes: the Korean genome and epidemiology study.

机构信息

Department of Family Medicine, Yong-in Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu, Yongin Si, Gyeonggi-do, 16995, Republic of Korea.

Department of Medicine, Graduate School, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.

出版信息

Acta Diabetol. 2021 Nov;58(11):1525-1532. doi: 10.1007/s00592-021-01755-1. Epub 2021 Jun 15.

Abstract

AIMS

The C-reactive protein-to-albumin ratio (CAR) has been reported as a novel prognostic marker in serious illness and various inflammatory diseases. The aim of this study is to investigate the association of CAR with incidence risk of type 2 diabetes in adults without chronic disease.

METHODS

A total of 5904 participants aged 40 to 69 years were selected from the Korean Genome and Epidemiology Study who were observed over 12 years. Multivariable logistic regression was analyzed to examine the relationship between CAR tertiles and incident diabetes. The predictive power of new-onset diabetes by CAR and homeostasis model assessment-insulin resistance (HOMA-IR) were also measured using the random forest model.

RESULTS

During a mean follow-up period of 7.6 years, 701 subjects (11.9%) developed diabetes. Compared with the lowest CAR group, the highest CAR group was associated with incidence of diabetes (OR 1.60; 95% CI 1.24-1.89) after adjustment for other potential confounding factors. In the random forest model, CAR did not show a significant difference in prediction of new-onset diabetes compared with HOMA-IR (p = 0.561).

CONCLUSIONS

CAR, which is a ratio of commonly used biomarkers and reflects both oxidative stress and antioxidants, is suggested as a predictor of incident diabetes.

摘要

目的

C 反应蛋白与白蛋白比值(CAR)已被报道为严重疾病和各种炎症性疾病的一种新的预后标志物。本研究旨在探讨 CAR 与无慢性病成年人 2 型糖尿病发病风险的关系。

方法

从韩国基因组与流行病学研究中选取了 5904 名年龄在 40 至 69 岁的参与者,对其进行了 12 年的观察。采用多变量逻辑回归分析来检验 CAR 三分位与新发糖尿病之间的关系。还使用随机森林模型来衡量 CAR 和稳态模型评估-胰岛素抵抗(HOMA-IR)对新发糖尿病的预测能力。

结果

在平均 7.6 年的随访期间,701 名受试者(11.9%)发生了糖尿病。与最低 CAR 组相比,最高 CAR 组在调整其他潜在混杂因素后与糖尿病发病相关(OR 1.60;95%CI 1.24-1.89)。在随机森林模型中,与 HOMA-IR 相比,CAR 在预测新发糖尿病方面没有显著差异(p=0.561)。

结论

CAR 是常用生物标志物的比值,反映了氧化应激和抗氧化剂,可作为预测糖尿病发病的指标。

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