A nomogram for the prediction of the survival of patients with advanced non‐small cell lung cancer and interstitial lung disease

Abstract

Background: Lung cancer is frequently accompanied by interstitial lung disease (ILD), and the overall survival (OS) of patients with these comorbidities is poor.Thus, we developed a nomogram for the prediction of the OS of patients with advanced non-small cell lung cancer (NSCLC) and ILD. Patients and Methods: Patients with wild-type gene advanced NSCLC with and without ILD who underwent chemotherapy between 2014 and 2019 were enrolled in the present study. The 0.5-and 1-year progression-free survival (PFS) and overall survival (OS) times of patients with and without ILD were determined using the Kaplan-Meier method. Cox regression was used to assess the prognostic value of clinical factors for patients with ILD. Based on the multivariate regression results, a nomogram for survival prediction was developed. The nomogram was validated using calibration curve. Results: Data from 155 patients with lung cancer and ILD and 118 matched patients with lung cancer alone who were receiving first-line chemotherapy were analyzed. The first-line chemotherapy regimens were paclitaxel + carboplatin, pemetrexed + carboplatin, gemcitabine + carboplatin, and other. The median PFS and OS were significantly shorter in patients with than in those without ILD (3.0 vs. 7.0 months [p < 0.001] and 7.0 vs. 15.0 months (p < 0.001), respectively). Multivariate analysis showed that the lymphocyte count (hazard ratio [HR] 2.38; 95% confidence interval [CI], 1.44-3.94; p = 0.01), partial pressure of oxygen (PaO 2 ; HR, 1.37; 95% CI, 1.03-1.82; p = 0.03), and chemotherapy regimen were independently associated with prognosis. The nomogram showed good discriminatory ability [C-index = 0.69 (95% CI, 0.49-0.82)]. Calibration curves showed that predicted and actual prognoses were consistent. Conclusion: This nomogram can aid the prediction of the OS of patients with advanced NSCLC and ILD. How to cite this article: Xiu W, Zheng J, Zhou Y, et al. A nomogram for the prediction of the survival of patients with advanced non-small cell lung cancer and interstitial lung disease.

Nomogram to predict prognosis of head and neck rhabdomyosarcoma patients in children and adolescents

“…A nomogram is a graphical tool for displaying the predicted value of individual survival based on significant variables produced by multivariate regression analysis briefly and intuitively (11, 12); currently, it has been widely used in disease prediction of malignant tumors such as laryngeal carcinoma and lung cancer etc (13)(14)(15). There are also some nomograms that have been constructed and proven to be beneficial in the management of RMS (16)(17)(18), and they present obvious advantages such as improved predictive accuracy, robustness, and usability, all of which increase their potentials in clinical practices.…”