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Mortality Predictors In Complicated Patients After Anatomical Lung Resection. / Variables predictivas de muerte en pacientes complicados tras resección pulmonar anatómica.
Gómez Hernández, M A Teresa; Novoa Valentín, Nuria; Fuentes Gago, Marta; Aranda Alcaide, José Luis; Varela Simó, Gonzalo; Jiménez López, Marcelo F.
Afiliação
  • Gómez Hernández MAT; Departamento de Cirugía Torácica. Hospital Universitario de Salamanca, Salamanca, España. Electronic address: mteresa.gomez.hernandez@gmail.com.
  • Novoa Valentín N; Departamento de Cirugía Torácica. Hospital Universitario de Salamanca, Salamanca, España.
  • Fuentes Gago M; Departamento de Cirugía Torácica. Hospital Universitario de Salamanca, Salamanca, España.
  • Aranda Alcaide JL; Departamento de Cirugía Torácica. Hospital Universitario de Salamanca, Salamanca, España.
  • Varela Simó G; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, España.
  • Jiménez López MF; Departamento de Cirugía Torácica. Hospital Universitario de Salamanca, Salamanca, España.
Article em En, Es | MEDLINE | ID: mdl-32493640
ABSTRACT

INTRODUCTION:

Failure to rescue (FTR), defined as the mortality rate among patients suffering from postoperative complications, is considered an indicator of the quality of surgical care. The aim of this study was to investigate the risk factors associated with FTR after anatomical lung resections.

METHOD:

Patients undergoing anatomical lung resection at our center between 1994 and 2018 were included in the study. Postoperative complications were classified as minor (grade I and II) and major (grade IIIA to V), according to the standardized classification of postoperative morbidity. Patients who died after a major complication were considered FTR. A stepwise logistic regression model was created to identify FTR predictors. Independent variables included in the multivariate analysis were age, body mass index, cardiac, renal, and cerebrovascular comorbidity, ppoFEV1%, VATS approach, extended resection, pneumonectomy, and reintervention. A non-parametric ROC curve was constructed to estimate the predictive capacity of the model.

RESULTS:

A total of 2,569 patients were included, of which 223 (8.9%) had major complications and 49 (22%) could not be rescued. Variables associated with FTR were age (OR 1.07), history of cerebrovascular accident (OR 3.53), pneumonectomy (OR 6.67), and reintervention (OR 12.26). The area under the ROC curve was 0.82 (95% CI 0.77-0.88).

CONCLUSIONS:

Overall, 22% of patients with major complications following anatomical lung resection in this series did not survive until discharge. Pneumonectomy and reintervention are the most significant risk factors for FTR.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En / Es Revista: Arch Bronconeumol (Engl Ed) Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En / Es Revista: Arch Bronconeumol (Engl Ed) Ano de publicação: 2020 Tipo de documento: Article