Konstantinos Gioutsos, Olga Rieder, Michail Galanis, Thanh-Long Nguyen, Ömer Senbaklavaci, Patrick Dorn
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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 PAL, 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 body mass index (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 PAL 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 diffusing capacity of the lungs for carbon monoxide (DLCO%), pack-years, forced expiratory volume in one second (FEV1%) and surgery time, respectively.</p><p><strong>Conclusions: </strong>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 PAL.</p>","PeriodicalId":11938,"journal":{"name":"European Journal of Cardio-Thoracic Surgery","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for prolonged air leak after uniportal anatomical segmentectomy†.\",\"authors\":\"Konstantinos Gioutsos, Olga Rieder, Michail Galanis, Thanh-Long Nguyen, Ömer Senbaklavaci, Patrick Dorn\",\"doi\":\"10.1093/ejcts/ezaf030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Our aim was to investigate the incidence and risk factors for prolonged air leak (PAL) in patients undergoing minimally invasive single-port pulmonary segmentectomy.</p><p><strong>Methods: </strong>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 PAL (>5 days).</p><p><strong>Results: </strong>In total, 575 segmentectomies were performed using uniportal video-assisted thoracoscopic surgery. In total, 333 patients (57.9%) were men, and the mean age was 64.8 years. PAL 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 PAL, 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 body mass index (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 PAL 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 diffusing capacity of the lungs for carbon monoxide (DLCO%), pack-years, forced expiratory volume in one second (FEV1%) and surgery time, respectively.</p><p><strong>Conclusions: </strong>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 PAL.</p>\",\"PeriodicalId\":11938,\"journal\":{\"name\":\"European Journal of Cardio-Thoracic Surgery\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Cardio-Thoracic Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ejcts/ezaf030\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Cardio-Thoracic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ejcts/ezaf030","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Risk factors for prolonged air leak after uniportal anatomical segmentectomy†.
Objectives: Our aim was to investigate the incidence and risk factors for prolonged air leak (PAL) 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 PAL (>5 days).
Results: In total, 575 segmentectomies were performed using uniportal video-assisted thoracoscopic surgery. In total, 333 patients (57.9%) were men, and the mean age was 64.8 years. PAL 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 PAL, 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 body mass index (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 PAL 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 diffusing capacity of the lungs for carbon monoxide (DLCO%), pack-years, forced expiratory volume in one second (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 PAL.
期刊介绍:
The primary aim of the European Journal of Cardio-Thoracic Surgery is to provide a medium for the publication of high-quality original scientific reports documenting progress in cardiac and thoracic surgery. The journal publishes reports of significant clinical and experimental advances related to surgery of the heart, the great vessels and the chest. The European Journal of Cardio-Thoracic Surgery is an international journal and accepts submissions from all regions. The journal is supported by a number of leading European societies.