2021
DOI: 10.1007/s00408-021-00464-4
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A Modified Calculation Improves the Accuracy of Predicted Postoperative Lung Function Values in Lung Cancer Patients

Abstract: 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… Show more

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Cited by 2 publications
(1 citation statement)
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“…5 In this context, risk prediction models are increasingly crucial for preoperative risk stratification and assessing the quality of surgery. These risk stratification models range from straightforward additive calculations such as the predicted postoperative FEV1 (ppoFEV1) or modified forms of the ppoFEV1 6 to very elaborate logarithmic scoring systems. The four to this date most established and most widely used scoring models are the Throacoscore by Falcoz et al 2007, 7 the Epithor by Bernard et al 2011, 8 Eurolung 2 by Brunelli et al, 9 and the simplified Eurolung 2 by Brunelli et al, 10 which we will call Eurolung 2b for simplification in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…5 In this context, risk prediction models are increasingly crucial for preoperative risk stratification and assessing the quality of surgery. These risk stratification models range from straightforward additive calculations such as the predicted postoperative FEV1 (ppoFEV1) or modified forms of the ppoFEV1 6 to very elaborate logarithmic scoring systems. The four to this date most established and most widely used scoring models are the Throacoscore by Falcoz et al 2007, 7 the Epithor by Bernard et al 2011, 8 Eurolung 2 by Brunelli et al, 9 and the simplified Eurolung 2 by Brunelli et al, 10 which we will call Eurolung 2b for simplification in this paper.…”
Section: Introductionmentioning
confidence: 99%