Department of Biostatistics, School of Public Health, Hainan Medical University, Haikou, Hainan, China (mainland).
Med Sci Monit. 2022 May 17;28:e935807. doi: 10.12659/MSM.935807.
BACKGROUND The aim of this study was to explore the relationship between C-reactive protein (CRP) and respiratory diseases in patients with diabetic retinopathy. MATERIAL AND METHODS We identified 855 patients with diabetic retinopathy who met the inclusion criteria from the "Diabetes Complications Data Set" in the National Population Health Data Center. We divided patients into 3 groups according to CRP tertiles: Q1 (<0.3 mg/dL), Q2 (0.3-0.35 mg/dL), and Q3 (>0.35 mg/dL). A multivariate logistic regression model was used to evaluate the relationship between CRP and respiratory diseases. The area under the receiver operating characteristic (ROC) curve was used to investigate the independent predictive effect of CRP on respiratory diseases. RESULTS Of the 855 patients with diabetic retinopathy, 137 (16%) had respiratory diseases. Prevalence of respiratory diseases gradually increased with an increase in CRP level (P for trend=0.001). With CRP as a continuous variable in the logistic regression model adjusted for confounding factors (model 3), the odds ratio (OR) per 1 standard deviation increment of CRP was 1.25 (95% CI 1.07-1.45, P=0.004). When the lowest CRP tertile group was used as the reference group, the OR of the highest CRP tertile group was 1.99 (95% CI 1.22-1.3.26, P=0.006). Adding CRP to the risk factor model increased the area under the ROC curve (0.68 vs 0.65, P=0.017). Subgroup analysis showed that the relationship between CRP and respiratory diseases had no potential heterogeneity among subgroups. CONCLUSIONS CRP can be used as an effective biomarker in predicting risk of respiratory diseases in patients with diabetic retinopathy.
本研究旨在探讨 C 反应蛋白（CRP）与糖尿病视网膜病变患者呼吸系统疾病的关系。
我们从国家人口健康数据中心的“糖尿病并发症数据集”中确定了 855 名符合纳入标准的糖尿病视网膜病变患者。我们根据 CRP 三分位值将患者分为 3 组：Q1（<0.3mg/dL）、Q2（0.3-0.35mg/dL）和 Q3（>0.35mg/dL）。使用多变量逻辑回归模型评估 CRP 与呼吸系统疾病之间的关系。使用受试者工作特征（ROC）曲线下面积来探讨 CRP 对呼吸系统疾病的独立预测作用。
在 855 名糖尿病视网膜病变患者中，有 137 名（16%）患有呼吸系统疾病。随着 CRP 水平的升高，呼吸系统疾病的患病率逐渐增加（趋势 P 值=0.001）。在调整混杂因素的逻辑回归模型中，CRP 每增加 1 个标准差，比值比（OR）为 1.25（95%CI 1.07-1.45，P=0.004）。当以 CRP 最低三分位组为参照组时，CRP 最高三分位组的 OR 为 1.99（95%CI 1.22-1.326，P=0.006）。将 CRP 添加到危险因素模型中增加了 ROC 曲线下面积（0.68 比 0.65，P=0.017）。亚组分析表明，CRP 与呼吸系统疾病之间的关系在亚组之间没有潜在的异质性。
CRP 可作为预测糖尿病视网膜病变患者呼吸系统疾病风险的有效生物标志物。
