Risk factor analysis and nomogram prediction model construction of postoperative complications of thoracoscopic non-small cell lung cancer
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key risk factors for complications following non-small cell lung cancer (NSCLC) surgery. A nomogram model was developed to predict and help reduce these thoracoscopic pulmonary resection complications.
Area Of Science
- Thoracic Surgery
- Oncology
- Medical Informatics
Background
- Postoperative complications are common after thoracoscopic pulmonary resection.
- Reducing these complications is crucial in thoracic surgery perioperative care.
- Non-small cell lung cancer (NSCLC) patients undergoing surgery face specific risks.
Purpose Of The Study
- To analyze risk factors for postoperative complications in NSCLC patients undergoing thoracoscopic surgery.
- To establish a nomogram prediction model for these complications.
- To aid clinical decision-making and improve patient outcomes.
Main Methods
- Retrospective analysis of 872 NSCLC patients who underwent thoracoscopic surgery (2017-2021).
- Logistic regression to identify independent risk factors for complications.
- Construction and validation of a nomogram prediction model using AUC and calibration curves.
Main Results
- 19.6% of patients experienced complications. Independent risk factors identified: thoracic adhesion, respiratory disease history, and lymphocyte-monocyte ratio (LMR).
- The nomogram model demonstrated good predictive performance (AUC=0.734) and clinical utility.
- Specific risk factors were identified for prolonged air leak (PAL), pulmonary infection, and pleural effusion.
Conclusions
- Thoracic adhesion, respiratory disease history, and LMR are significant risk factors for postoperative complications after thoracoscopic NSCLC surgery.
- The developed nomogram model effectively predicts these complications, offering valuable clinical application.
- The study provides a tool to identify patients at higher risk, facilitating targeted interventions.
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