A Modified Calculation Improves the Accuracy of Predicted Postoperative Lung Function Values in Lung Cancer Patients

Purpose Preoperative pulmonary function testing is mandatory for non-small cell lung cancer (NSCLC) surgery. The predicted postoperative FEV1 (ppoFEV1) is used for further risk stratification. We compared the ppoFEV1 with the postoperative FEV1 (postFEV1) in order to improve the calculation of the ppoFEV1. Methods 87 patients voluntarily received an FEV1 assessment 1 year after surgery. ppoFEV1 was calculated according to the Brunelli calculation. Baseline characteristics and surgical procedure were compared in a uni- and multivariate analysis between different accuracy levels of the ppoFEV1. Parameters which remained significant in the multinominal regression analysis were evaluated for a modification of the ppoFEV1 calculation. Results Independent factors for a more inaccurate ppoFEV1 were preoperative active smoking (odds ratio (OR) 4.1, confidence interval (CI) 3.6–6.41; p = 0.01), packyears (OR 4.1, CI 3.6–6.41; p = 0.008), younger age (OR 1.1, CI 1.01–1.12; p = 0.03), and patients undergoing pneumectomy (OR 5.55, CI 1.35–23.6; p = 0.01). For the customized ppoFEV1 we excluded pneumonectomies. For patients $$1-\left(\frac{\text{Lung segments resected} + 1}{\text{Total number of segments}}\right)$$ 1 - Lung segments resected + 1 Total number of segments . For actively smoking patients with more than 30 packyears we subtracted one lung segment from the calculation ppoFEV1 = PreFEV1 × $$1-\left(\frac{\text{Lung segments resected} - 1}{\text{Total number of segments}}\right)$$ 1 - Lung segments resected - 1 Total number of segments . Conclusion We were able to enhance the predictability of the ppoFEV1 with modifications. The modified ppoFEV1 (1.828 l ± 0.479 l) closely approximates the postFEV1 of 1.823 l ± 0.476 l, (0.27%) while the original ppoFEV1 calculation is at 1.78 l ± 0.53 (2.19%). However, if patients require pneumectomy, more complex techniques to determine the ppoFEV1 should be included to stratify risk.