Clinical characteristics and prognostic analysis of Lung Cancer patients with Hypercoagulability: A single-center, retrospective, real-world study.

We explored the clinical regularity and prognosis of lung carcinoma (LC) patients with hypercoagulability, which is often associated with the occurrence and development of tumors. This retrospective study analyzed 624 LC patients diagnosed from 2010-2017 in the Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, China. Kaplan-Meier analysis was used to estimate survival and the log-rank test was used to identify differences in survival between groups. The predictive power of a hypercoagulation model was tested using receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were performed to explore independent factors associated with survival A logistic regression model was used to explore factors related to hypercoagulability. The diagnostic power of relevant influencing factors on hypercoagulability was tested using ROC curve analysis. Of 624 patients in the study, 161(25.8%) had hypercoagulability and 463 did not (normal group). The overall survival (OS) of the hypercoagulability group was significantly lower than the normal group ( < 0.0001). The ROC curve showed that the predictive power of the hypercoagulability model was better than that of a single coagulation indicator ( < 0.01). Both univariate and multivariate Cox regression analyses showed that hypercoagulability was an independent factor affecting the prognosis of LC (<0.0001). The results of the logistic regression analysis showed that clinical stage ( < 0.05), cytokeratin 19 fragment (Cyfra211) ( < 0.05), and the platelet-to-lymphocyte ratio (PLR) ( < 0.05) were positively correlated with hypercoagulability. When combining clinical stage, Cyfra211, and the PLR to predict hypercoagulability, the area under the ROC curve was 0.797 ( < 0.01). In LC, hypercoagulability is an independent factor associated with poor OS and could be a prognostic factor.