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A nomogram to predict major complications in patients with early-stage non-small-cell lung cancer / 中华胸心血管外科杂志
Chinese Journal of Thoracic and Cardiovascular Surgery ; (12): 87-90,102, 2017.
Artigo em Chinês | WPRIM | ID: wpr-686560
ABSTRACT
Objective To develop an easy-to-use nomogram to assist clinicians in predicting major postoperative morbidity in those non-small-cell lung canccr patients who underwent VATS lobectomy.Methods A perspective multi-center study was developed to analyze the major postoperative complications of 612 non-small-cell lung cancer patients who underwent VATS lobectomy.Muhivariable logistic regression was used to model postoperative morbidity and built the nomogram to accurately predict the major complications.Results There were 606 (99%) survivors and 6 (1%) mortality.A total of 32 patients suffered from major complications.Using logistic regression to predict major complications,preoperative model for ASA score,age ≥70 years and operation time > 150 nin were found to be the significant predictors(P < 0.05) of morbidity and were included in our model.Conclusion We propose a nomogram to enable clinicians to better estimate morbidity in patients with VATS lobectomy.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Ensaio Clínico Controlado / Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Thoracic and Cardiovascular Surgery Ano de publicação: 2017 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Ensaio Clínico Controlado / Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Thoracic and Cardiovascular Surgery Ano de publicação: 2017 Tipo de documento: Artigo