Peak Workload as Predictor of Respiratory Complications in Patients Undergoing Resection for Lung Cancer
Résumé fourni par la source
INTRODUCTION: To determine whether peak workload (Wpeak), expressed as a percentage of predicted value during a cardiopulmonary exercise test (CPET), can predict postoperative cardiopulmonary complications in high-risk patients undergoing lung cancer resection. METHODS: and DLco <80% predicted and underwent full CPET within 30 days prior to surgery. The main endpoint was the occurrence of cardiopulmonary complications within 30 days postoperatively. The predictive ability of Wpeak (% predicted) for complications was evaluated using ROC analysis and optimal cutoff was identified. Outcomes were compared above and below this threshold. RESULTS: peak, and heart rate responses compared to patients with Wpeak >52%. CONCLUSIONS: Wpeak ≤52% of predicted was associated with increased risk of postoperative complications and longer hospitalization. Although the discriminatory ability was modest (AUC 0.59), Wpeak ≤52% predicted was associated with higher postoperative complications and may serve as a complementary tool for risk stratification, especially in resource-limited settings. Further prospective validation is warranted.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Peak Workload as Predictor of Respiratory Complications in Patients Undergoing Resection for Lung Cancer
- Date Crossref
- 16/02/2026
- Éditeur
- S. Karger AG
- Type
- journal-article
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