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Changes in Forced Expiratory Volume in 1 Second after Anatomical Lung Resection according to the Number of Segments
Sun-Geun Lee1, Seung Hyong Lee2, Sang-Ho Cho1
1Department of Thoracic and Cardiovascular Surgery, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea.
Background:
Although various methods are already used to calculate predicted postoperative forced expiratory volume in 1 second (FEV1) based on preoperative FEV1 in lung surgery, the predicted postoperative FEV1 is not always the same as the actual postoperative FEV1. Observed postoperative FEV1 values are usually the same or higher than the predicted postoperative FEV1. To overcome this issue, we investigated the relationship between the number of resected lung segments and the discordance of preoperative and postoperative FEV1 values.
Methods:
From September 2014 to May 2020, the data of all patients who underwent anatomical lung resection by video-assisted thoracoscopic surgery (VATS) were gathered and analyzed retrospectively. We investigated the association between the number of resected segments and the differential FEV1 (a measure of the discrepancy between the predicted and observed postoperative FEV1) using the t-test and linear regression.
Results:
Information on 238 patients who underwent VATS anatomical lung resection at Kyung Hee University Hospital at Gangdong and by DH. Kim for benign and malignant disease was collected. After applying the exclusion criteria, 114 patients were included in the final analysis. In the multiple linear regression model, the number of resected segments showed a positive correlation with the differential FEV1 (Pearson r=0.384, p<0.001). After adjusting for multiple covariates, the differential FEV1 increased by 0.048 (95% confidence interval, 0.023-0.073) with an increasing number of resected lung segments (R2=0.271, p<0.001).
Conclusion:
In this study, after pulmonary resection, the number of resected segments showed a positive correlation with the differential FEV1.
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