Huang Yiben, Wang Jianing, Dai Zicong, Hu Binbin, Chen Siyao, Chen Xuanyang, Liu Chunyan, Jin Wanzhong, Yu Beibei, Zhang Xiaodiao
Department of Respiratory and Critical Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Sleep Breath. 2025 Jun 4;29(3):203. doi: 10.1007/s11325-025-03376-2.
Total protein (TP), comprising albumin and globulin, is a common and readily available indicator. This study aimed to assess the correlation between total protein and disease severity as well as exercise tolerance in patients with stable chronic obstructive pulmonary disease (COPD).
A total of 84 patients with COPD were recruited in this study. Plasma total protein levels, body mass index, air-flow obstruction, dyspnea, exercise capacity (BODE) index, the six-minute walking distance (6MWD), lung function and other relevant data were recorded. Patients were divided into three groups according to TP tertiles. Receiver operating characteristic (ROC) curves were used to evaluate the performance of TP in predicting severe COPD (BODE ≥ 5). Besides, logistic regression analyses were conducted to assess whether TP was an independent factor associated with BODE grades.
COPD subjects with TP levels below 61.2 exhibited a significantly higher proportion of severe COPD. Logistic regression analyses substantiated that TP was associated with COPD severity. Compared with albumin and globulin levels, TP levels showed the highest accuracy in predicting a high BODE index in COPD (BODE ≥ 5) (the area under the ROC curve (AUC) = 0.789). Moreover, TP was positively related to 6WMD during the first 30 days of admission.
A lower level of TP was associated with a higher BODE index, indicating more severe COPD.
总蛋白（TP）由白蛋白和球蛋白组成，是一种常见且易于获取的指标。本研究旨在评估稳定期慢性阻塞性肺疾病（COPD）患者总蛋白与疾病严重程度以及运动耐量之间的相关性。
本研究共纳入84例COPD患者。记录血浆总蛋白水平、体重指数、气流阻塞、呼吸困难、运动能力（BODE）指数、六分钟步行距离（6MWD）、肺功能及其他相关数据。根据总蛋白三分位数将患者分为三组。采用受试者工作特征（ROC）曲线评估总蛋白在预测重度COPD（BODE≥5）中的表现。此外，进行逻辑回归分析以评估总蛋白是否为与BODE分级相关的独立因素。
总蛋白水平低于61.2的COPD患者中重度COPD的比例显著更高。逻辑回归分析证实总蛋白与COPD严重程度相关。与白蛋白和球蛋白水平相比，总蛋白水平在预测COPD患者高BODE指数（BODE≥5）方面显示出最高的准确性（ROC曲线下面积（AUC）=0.789）。此外，入院后前30天总蛋白与6MWD呈正相关。
较低的总蛋白水平与较高的BODE指数相关，表明COPD更严重。
