Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Department of Endocrinology, Central Hospital of Zengcheng District, Guangzhou, China.
Front Endocrinol (Lausanne). 2024 Feb 9;15:1272573. doi: 10.3389/fendo.2024.1272573. eCollection 2024.
The aim of this study is to explore the association between red blood cell distribution width-to-albumin ratio (RAR) and the risk of peripheral artery disease (PAD) in patients with diabetes.
This cross-sectional study extracted the data of 1,125 participants with diabetes from the National Health and Nutrition Examination Survey database. A weighted univariable logistic regression model was used to explore variables associated with PAD. With PAD as the outcome variable, a weighted logistic regression model was established. The odds ratio (OR) and 95% confidence interval (CI) were effect size.
After adjusting for covariates, the risk of PAD in patients with diabetes was observed in those with higher RAR (OR = 1.83; 95% CI: 1.06-3.15). In addition, RAR ≥3.25 was related to increased risk of PAD in patients with diabetes (OR = 2.04; 95% CI: 1.05-3.95). In people with diabetes aged ≥65, RAR was a risk factor for PAD with an OR value of 2.67 (95% CI: 1.30-5.46). RAR ≥3.25 was associated with increased risk of PAD (OR = 3.06; 95% CI: 1.15-8.11) relative to RAR <2.80. In people with diabetes who smoked, the risk of PAD was elevated in those with RAR ≥3.25 (OR = 2.85; 95% CI: 1.28-6.32). As for patients with cardiovascular disease, the risk of PAD was elevated as the increase of RAR (OR = 2.31; 95% CI: 1.05-5.10). RAR ≥3.25 was correlated with increased risk of PAD (OR = 3.75; 95% CI: 1.42-9.87). The area under the curve of RAR for the risk of PAD in patients with diabetes was 0.631 (95% CI: 0.588-0.675).
A higher RAR was related to increased risk of PAD in patients with diabetes. The findings might offer a reference for the management of PAD in patients with diabetes.
本研究旨在探讨红细胞分布宽度与白蛋白比值(RAR)与糖尿病患者外周动脉疾病(PAD)风险之间的关联。
本横断面研究从国家健康和营养调查数据库中提取了 1125 名糖尿病患者的数据。采用加权单变量逻辑回归模型探讨与 PAD 相关的变量。以 PAD 为结局变量,建立加权逻辑回归模型。比值比(OR)和 95%置信区间(CI)为效应量。
在校正协变量后,糖尿病患者中 RAR 较高者(OR=1.83;95%CI:1.06-3.15)发生 PAD 的风险更高。此外,RAR≥3.25 与糖尿病患者 PAD 风险增加相关(OR=2.04;95%CI:1.05-3.95)。在年龄≥65 岁的糖尿病患者中,RAR 的 OR 值为 2.67(95%CI:1.30-5.46),是 PAD 的危险因素。RAR≥3.25 与 PAD 风险增加相关(OR=3.06;95%CI:1.15-8.11),而 RAR<2.80 则无此相关性。在吸烟的糖尿病患者中,RAR≥3.25 者 PAD 风险升高(OR=2.85;95%CI:1.28-6.32)。对于心血管疾病患者,随着 RAR 的增加,PAD 的风险也升高(OR=2.31;95%CI:1.05-5.10)。RAR≥3.25 与 PAD 风险增加相关(OR=3.75;95%CI:1.42-9.87)。糖尿病患者发生 PAD 的 RAR 曲线下面积为 0.631(95%CI:0.588-0.675)。
较高的 RAR 与糖尿病患者 PAD 风险增加相关。这些发现可能为糖尿病患者 PAD 的管理提供参考。