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  3. Risk factors for prolonged air leak after uniportal anatomical segmentectomy.
 

Risk factors for prolonged air leak after uniportal anatomical segmentectomy.

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BORIS DOI
10.48620/85457
Date of Publication
March 2025
Publication Type
Article
Division/Institute

Clinic of Thoracic Su...

Author
Gioutsos, Konstantinos
Clinic of Thoracic Surgery
Rieder, Olga
Galanis, Michail
Clinic of Thoracic Surgery
Nguyen, Thanh-Long
Clinic of Thoracic Surgery
Senbaklavaci, Ömer
Clinic of Thoracic Surgery
Dorn, Patrick
Clinic of Thoracic Surgery
Subject(s)

600 - Technology::610...

Series
European Journal of Cardio-Thoracic Surgery
ISSN or ISBN (if monograph)
1873-734X
1010-7940
Publisher
Oxford University Press
Language
English
Publisher DOI
10.1093/ejcts/ezaf030
PubMed ID
39909857
Uncontrolled Keywords

Prolonged Air Leak

Sublobar Anatomical r...

Uniportal Segmentecto...

VATS segmentectomy

Description
Objectives
Our aim was to investigate the incidence and risk factors for prolonged air leak in patients undergoing minimally invasive single-port pulmonary segmentectomy.Methods
A retrospective analysis of all patients undergoing uniportal segmentectomy in our department from March 2015 to September 2023 was performed. Univariable, multivariable logistic regression analyses and machine learning were used to investigate risk factors for prolonged air leak (>5 days).Results
575 segmentectomies were performed using uniportal video-assisted thoracoscopic surgery. 333 patients (57.9%) were men and the mean age was 64.8 years.Prolonged air leak occurred in 88 patients (15.3%). Length of stay and duration of chest drainage were 8.6 (SD 4.86) and 10.6 (SD 8.12) days in the subgroup with prolonged air leak, compared to 3.6 (SD 2.25) and 2.0 (SD 1.3) days in the subgroup without air leak (p < 0.0001). Multivariable analysis revealed that upper lobe location, lower BMI, an additional wedge resection on another segment and hypertension were associated with increased risk of PAL.Machine learning was used to develop models that predicted the occurrence of prolonged air leak with an accuracy of 70%. The first model detected the following parameters as significant: resection of segment 2, diabetes, inhalers, and squamous cell carcinoma. The second model recognized DLCO (%), pack-years, FEV1 (%) and surgery time respectively.Conclusions
Low BMI, DLCO% or FEV1% values, increased pack-years, inhalers, diabetes, hypertension, histology of primary lung cancer, longer surgery time, an additional wedge resection, segment 2 removal and upper lobe surgery were identified as risk factors for prolonged air leak.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/205119
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
ezaf030.pdftextAdobe PDF1.8 MBaccepted embargo
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