November 30, 2025European Journal of Cardio-Thoracic Surgery

Predictors of Thirty-Day Morbidity and Unplanned Readmission after Induction Therapy Followed by Lung Resection for Non-Small Cell Lung Cancer: European Society of Thoracic Surgeons Database Analysis

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Implication

Analysis shows that COPD and age predict unplanned readmission in lung cancer surgery patients, suggesting improved risk scores can enhance management.

Key Points

A predictive model accurately identifies 30-day morbidity factors for patients undergoing surgery.
Key predictors include copd and age, with a model accuracy of 93.6% for readmission risk scores.
Logistic regression analysis was used on 4,547 patients from the european society of thoracic surgeons database.
Integrating these risk scores may enable better perioperative patient management for lung cancer cases.

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A 2025 study studied this question.

synapsesocial.com/papers/692b9d8d1d383f2b2a379bab https://doi.org/10.1093/ejcts/ezaf426

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Implication

Analysis shows that COPD and age predict unplanned readmission in lung cancer surgery patients, suggesting improved risk scores can enhance management.

Predictors of Thirty-Day Morbidity and Unplanned Readmission after Induction Therapy Followed by Lung Resection for Non-Small Cell Lung Cancer: European Society of Thoracic Surgeons Database Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Predictors of Thirty-Day Morbidity and Unplanned Readmission after Induction Therapy Followed by Lung Resection for Non-Small Cell Lung Cancer: European Society of Thoracic Surgeons Database Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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