Key result
A six-factor clinical model predicts synchronous pulmonary embolism in newly diagnosed lung cancer with ~0.86 AUC.
Why the study?
Synchronous diagnosis of PE at the initial presentation of lung cancer poses diagnostic challenges and affects management, but predictive factors for this dual diagnosis remain poorly defined.
Case-Control (n=251)
No
Effect estimate: AUC 0.857 (95% CI 0.807-0.906)
A combination of six clinical and laboratory markers (smoking index, hemoglobin, PT, direct bilirubin, albumin, and CEA) can help predict the presence of synchronous pulmonary embolism in newly diagnosed lung cancer patients.
May support early PE risk stratification in lung cancer using routine markers; hypothesis-generating pending prospective validation.
Lung cancer is associated with a high risk of venous thromboembolism, and pulmonary embolism (PE) is a critical complication. The synchronous diagnosis of PE at the initial presentation of lung cancer presents diagnostic challenges and affects management. The predictive factors for this dual diagnosis remain poorly defined. A retrospective comparative study was conducted on 251 newly diagnosed lung cancer patients, including 79 with concurrent PE (observation group) and 172 without PE (control group). Demographic, clinical, laboratory, and tumor - related data were collected. Statistical analysis included univariate and multivariate logistic regression to seek independent risk factors and ROC curve analysis to evaluate their potential predictive performance. Univariate analysis revealed significant differences in multiple variables, including pericardial/pleural effusion, smoking index, hematologic parameters, coagulation markers, D - dimer, liver enzymes, albumin, and tumor markers (CEA, CA125, CA199) (P < 0.05). Multivariate logistic regression analysis indicated that smoking index, hemoglobin, PT, direct bilirubin, albumin, and CEA may be independent risk factors for synchronous pulmonary embolism in lung cancer patients. The combination of the six independent risk factors also demonstrated significant predictive potential (AUC = 0.857, sensitivity 79.1%, specificity 79.7%). Lung cancer patients presenting with synchronous PE exhibit a distinct clinical phenotype. The smoking index, hemoglobin, PT, direct bilirubin, albumin, and CEA may be independent predictive factors. D - dimer is a well diagnostic marker. These findings suggest a practical framework to help guide clinical suspicion and encourage targeted diagnostic evaluation for PE at the initial diagnosis of lung cancer, contributing to improved early intervention and patient outcomes.
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Shang et al. (2026) conducted a case-control in Lung cancer with synchronous pulmonary embolism (n=251). Clinical and laboratory risk factors (smoking index, hemoglobin, PT, direct bilirubin, albumin, CEA) vs. Patients without pulmonary embolism was evaluated on Predictive performance for synchronous pulmonary embolism (AUC 0.857, 95% CI 0.807-0.906). A combination of six independent risk factors (smoking index, hemoglobin, PT, direct bilirubin, albumin, and CEA) significantly predicted synchronous pulmonary embolism in newly diagnosed lung cancer patients (AUC 0.857).
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