Work

Different DLCO Parameters as Predictors of Postoperative Pulmonary Complications in Mild Chronic Obstructive Pulmonary Disease Patients with Lung Cancer

Year: 2024

Type: article

Abstract: Background: ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: /VA had the best fit. Conclusion: /VA as the most valuable predictor.

Source: The Korean Journal of Thoracic and Cardiovascular Surgery

DOI: 10.5090/jcs.24.010

Authors: Mil Hoo Kim, Joonseok Lee, Joung Woo Son, Beatrice Chia-Hui Shih, Woohyun Jeong, Jae Hyun Jeon, Kwhanmien Kim, Sanghoon Jheon, Sukki Cho

Institutions: Seoul National University, Seoul National University Bundang Hospital

Language: English

Topic: Chronic Obstructive Pulmonary Disease (COPD) Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4401425973

FWCI: 0.561

Cites: 18

Cited by: 2

Related to: 10