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Riesgo quirúrgico tras resección pulmonar anatómica en cirugía torácica. Modelo predictivo a partir de una base de datos nacional multicéntrica

2021; Elsevier BV; Volume: 58; Issue: 5 Linguagem: Inglês

10.1016/j.arbres.2021.01.037

1885-6195

David Gómez de Antonio, Silvana Crowley Carrasco, Alejandra Romero Román, Ana Royuela, Álvaro Sánchez Calle, Carme Obiols Fornell, Sergi Call, Raúl Embún Flor, Íñigo Royo, José Luis Recuero Díaz, Alberto Cabañero-Sánchez, Nicolás Moreno‐Mata, Sergio Bolufer, Miguel Congregado, Marcelo F. Jiménez, Borja Aguinagalde, Sergio Amor-Alonso, Miguel Jesús Arrarás, Ana Isabel Blanco Orozco, Marc Boada, Isabel Cal, Ángel Cilleruelo Ramos, Elena Fernández-Martín, Santiago García-Barajas, María Dolores García-Jiménez, José María García-Prim, José Alberto García-Salcedo, Juan José Gelbenzu-Zazpe, Carlos Fernando Giraldo-Ospina, María Teresa Gómez-Hernández, Jorge Hernández, Jennifer D. Illana Wolf, Alberto Jáuregui Abularach, Unai Jiménez, Iker López Sanz, Néstor J. Martínez‐Hernández, Elisabeth Martínez-Téllez, Lucía Milla Collado, Roberto Mongil Poce, Javier Moradiellos, Ramón Moreno-Basalobre, Sergio B. Moreno Merino, Florencio Quero‐Valenzuela, María Elena Ramírez-Gil, Ricard Ramos-Izquierdo, Eduardo Rivo, Alberto Rodríguez-Fuster, Rafael Rojo-Marcos, David Sánchez-Lorente, Laura Moreno, Carlos Simón, Juan Carlos Trujillo-Reyes, Cipriano López García, Juan José Fibla Alfara, Julio Sesma Romero, Florentino Hernándo,

Cardiac, Anesthesia and Surgical Outcomes

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).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.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.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.