Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
Dis Markers. 2022 Apr 27;2022:5653033. doi: 10.1155/2022/5653033. eCollection 2022.
Both malignant pleural effusion (MPE) and tuberculous pleural effusion (TPE) are common etiologies of pleural effusion; the present study was conducted to establish the diagnostic value of platelet parameters in the differential diagnosis of MPE and TPE.
This retrospective study enrolled patients with lung adenocarcinoma-associated MPE and TPE. Platelet parameter data, including platelet count (PLT), mean platelet volume (MPV), plateletcrit (PCT), platelet distribution width (PDW), and platelet-larger cell ratio (P-LCR), were collected. Principal component analysis and multiple logistic regression modelling were carried out to assess the diagnostic value of these platelet parameters.
The MPE group and the TPE group enrolled 270 and 433 patients, respectively. Demographic characteristics of patients were more female and higher age in the MPE group. MPV, PDW, and P-LCR were significantly higher in MPE patients, while PLT and PCT were significantly higher in TPE patients. Principal component analysis generated two principal components (PCs) based on above platelet parameters. After adjusting for confounding factors including gender and age, multiple logistic regression showed positive association between PC1 and MPE.
Platelet parameters were potential biomarkers in distinguishing lung adenocarcinoma-associated MPE from TPE. A patient with lower PLT and PCT and higher MPV, PDW, and P-LCR was more likely to be diagnosed as the former. Principal component analysis and multiple logistic regression performed well in improving multicollinearity, adjusting confounding factors, and identifying important risk factors for MPE.
恶性胸腔积液(MPE)和结核性胸腔积液(TPE)都是胸腔积液的常见病因;本研究旨在建立血小板参数在鉴别诊断 MPE 和 TPE 中的诊断价值。
本回顾性研究纳入了与肺腺癌相关的 MPE 和 TPE 患者。收集血小板参数数据,包括血小板计数(PLT)、平均血小板体积(MPV)、血小板压积(PCT)、血小板分布宽度(PDW)和血小板大细胞比(P-LCR)。进行主成分分析和多因素逻辑回归模型分析,以评估这些血小板参数的诊断价值。
MPE 组和 TPE 组分别纳入 270 例和 433 例患者。MPE 组患者的人口统计学特征为女性更多,年龄更大。MPE 患者的 MPV、PDW 和 P-LCR 显著升高,而 TPE 患者的 PLT 和 PCT 显著升高。基于上述血小板参数,主成分分析生成了两个主成分(PCs)。在调整性别和年龄等混杂因素后,多因素逻辑回归显示 PC1 与 MPE 呈正相关。
血小板参数是鉴别与肺腺癌相关的 MPE 和 TPE 的潜在生物标志物。PLT 和 PCT 较低,MPV、PDW 和 P-LCR 较高的患者更有可能被诊断为前者。主成分分析和多因素逻辑回归在改善多共线性、调整混杂因素以及识别 MPE 的重要危险因素方面表现良好。