Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica
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- dc.contributor.author Gómez de Antonio, David
- dc.contributor.author Rodríguez-Fuster, Alberto
- dc.contributor.author Hernando-Trancho, F.
- dc.date.accessioned 2022-10-06T07:07:53Z
- dc.date.issued 2022
- dc.description.abstract Introduction: the aim of this study was to develop a surgical risk prediction model in patients undergoing anatomic lung resections from the registry of the Spanish Video-Assisted Thoracic Surgery Group (GEVATS). Methods: data were collected from 3,533 patients undergoing anatomic lung resection for any diagnosis between December 20, 2016 and March 20, 2018. We defined a combined outcome variable: death or Clavien Dindo grade IV complication at 90 days after surgery. Univariate and multivariate analyses were performed by logistic regression. Internal validation of the model was performed using resampling techniques. Results: the incidence of the outcome variable was 4.29% (95% CI 3.6-4.9). The variables remaining in the final logistic model were: age, sex, previous lung cancer resection, dyspnea (mMRC), right pneumonectomy, and ppo DLCO. The performance parameters of the model adjusted by resampling were: C-statistic 0.712 (95% CI 0.648-0.750), Brier score 0.042 and bootstrap shrinkage 0.854. Conclusions: the risk prediction model obtained from the GEVATS database is a simple, valid, and reliable model that is a useful tool for establishing the risk of a patient undergoing anatomic lung resection.
- dc.format.mimetype application/pdf
- dc.identifier.citation Gómez de Antonio D, Crowley Carrasco S, Romero Román A, Royuela A, Sánchez Calle Á, Obiols Fornell C, et al. Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica. Arch Bronconeumol. 2022 May; 58(5): 398-405. DOI: 10.1016/j.arbres.2021.01.037
- dc.identifier.doi http://dx.doi.org/10.1016/j.arbres.2021.01.037
- dc.identifier.issn 0300-2896
- dc.identifier.uri http://hdl.handle.net/10230/54291
- dc.language.iso spa
- dc.publisher Elsevier
- dc.rights © Elsevier http://dx.doi.org/10.1016/j.arbres.2021.01.037
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Anatomic lung resection
- dc.subject.keyword Cirugía mínimamente invasiva
- dc.subject.keyword Cirugía torácica
- dc.subject.keyword Minimally invasive surgery
- dc.subject.keyword Modelo predictivo de riesgo
- dc.subject.keyword Morbimortalidad posquirúrgica
- dc.subject.keyword Post-surgical morbidity and mortality
- dc.subject.keyword Predictive risk model
- dc.subject.keyword Resección pulmonar anatómica
- dc.subject.keyword Riesgo quirúrgico
- dc.subject.keyword Surgical risk
- dc.subject.keyword Thoracic surgery
- dc.title Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica
- dc.title.alternative Surgical risk following anatomic lung resection in thoracic surgery: a prediction model derived from a spanish multicenter database
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion