2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.01A.02 Risk Factors and Nomogram Construction of Early Death in Patients with Stage IV Lung Squamous Cell Carcinoma: A SEER-Based Study

EP.01A.02 Risk Factors and Nomogram Construction of Early Death in Patients with Stage IV Lung Squamous Cell Carcinoma: A SEER-Based Study

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The study led by Xin Yu and colleagues focuses on identifying risk factors for early death in patients with stage IV lung squamous cell carcinoma (LUSC) and constructing a predictive nomogram using data from the SEER database. The study includes data from 4,908 stage IV LUSC patients diagnosed between 2010 and 2015, divided into training (3,436 patients) and validation cohorts (1,472 patients).<br /><br />Early death, primarily categorized as cancer-specific (92.7%), affected 41.6% of the patients. A significant correlation was found between advancing age and increased early death rates. Through the application of LASSO logistic regression and multivariate analysis, several independent risk factors were identified: age, T stage, N stage, M stage, tumor size, bone metastasis, brain metastasis, liver metastasis, chemotherapy, and radiotherapy.<br /><br />Based on these findings, a nomogram was developed for predicting early death in stage IV LUSC patients. The nomogram's performance was evaluated using the ROC curve, displaying an AUC of 0.793 in the training cohort and 0.798 in the validation cohort. These findings, alongside calibration and decision curve analyses, underscored the model's reliability and potential utility in clinical settings for personalized risk assessment and management of LUSC patients.<br /><br />Overall, the study offers a comprehensive tool that clinicians can utilize to predict early mortality risks in stage IV LUSC patients, thereby facilitating more informed treatment decisions and potentially improving patient outcomes.

Asset Subtitle

Xin Yu

Meta Tag

Speaker Xin Yu

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

stage IV lung squamous cell carcinoma

early death risk factors

predictive nomogram

SEER database

LASSO logistic regression

multivariate analysis

ROC curve

personalized risk assessment

clinical utility

patient outcomes