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Changes in Forced Expiratory Volume in 1 Second after Anatomical Lung Resection according to the Number of Segments
BACKGROUND: Although various methods are already used to calculate predicted postoperative forced expiratory volume in 1 second (FEV(1)) based on preoperative FEV(1) in lung surgery, the predicted postoperative FEV(1) is not always the same as the actual postoperative FEV(1). Observed postoperative...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society for Thoracic and Cardiovascular Surgery
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646069/ https://www.ncbi.nlm.nih.gov/pubmed/34857671 http://dx.doi.org/10.5090/jcs.21.037 |
Sumario: | BACKGROUND: Although various methods are already used to calculate predicted postoperative forced expiratory volume in 1 second (FEV(1)) based on preoperative FEV(1) in lung surgery, the predicted postoperative FEV(1) is not always the same as the actual postoperative FEV(1). Observed postoperative FEV(1) values are usually the same or higher than the predicted postoperative FEV(1). To overcome this issue, we investigated the relationship between the number of resected lung segments and the discordance of preoperative and postoperative FEV(1) 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 FEV(1) (a measure of the discrepancy between the predicted and observed postoperative FEV(1)) 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 FEV(1) (Pearson r=0.384, p<0.001). After adjusting for multiple covariates, the differential FEV(1) increased by 0.048 (95% confidence interval, 0.023–0.073) with an increasing number of resected lung segments (R(2)=0.271, p<0.001). CONCLUSION: In this study, after pulmonary resection, the number of resected segments showed a positive correlation with the differential FEV(1). |
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