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The everlasting issue of prolonged air leaks after lobectomy for non‐small cell lung cancer: A data‐driven prevention planning model in the era of minimally invasive approaches
Author(s) -
Viti Andrea,
Socci Laura,
Congregado Miguel,
Ismail Mahmoud,
Nachira Dania,
Muñoz Carlos Galvez,
Bolufer Sergio,
Rückert Jens C.,
Margaritora Stefano,
Terzi Alberto
Publication year - 2018
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.25289
Subject(s) - medicine , receiver operating characteristic , lung cancer , univariate analysis , logistic regression , univariate , body mass index , surgery , multivariate analysis , statistics , multivariate statistics , mathematics
Background and Objectives Prolonged air leaks (PAL) are the most frequent complication after lobectomy for non–small cell lung cancer, even in case of minimally invasive approaches. We developed a novel score to identify high‐risk patients for PAL during minimally invasive lobectomy. Methods A dedicated database was created. We investigated preoperative candidate features and specific intraoperative variables. Univariate and subsequent logistic regression analysis with bootstrap resampling have been used. Model performance has been assessed by reckoning the area under the receiver operating characteristics curve and the Hosmer‐Lemeshow goodness of fit. Results PAL (>5 days) occurred in 72 (15.69%) patients. Five variables emerged from the model. Each one was assigned a score to provide a cumulative scoring system: forced expiratory volume in 1 second below 86% ( P = 0.004, 1.5 points), body mass index <24 ( P = 0.002, 1 point), active smoking ( P = 0.001, 1.5 points), incomplete fissures ( P = 0.004, 1.5 points), and adhesions ( P = 0.0001, 1 point). The new score provided a stratification into four risk classes. Conclusions The risk score incorporates either general or more specific variables, providing a risk stratification that could be readily applied intra‐ and postoperatively. Henceforth, specific technical and management measures could be properly allocated to curb PAL.