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An Alternative Method for Predicting the Risk of Postoperative Complications in Lung Resection

2014; Elsevier BV; Volume: 50; Issue: 3 Linguagem: Inglês

10.1016/j.arbr.2014.02.004

1885-6195

Maria del Carmen Vargas Fajardo, Nuria M. Novoa, Marcelo F. Jiménez, Jacinto Ramos González, Gonzálo Varela,

Delphi Technique in Research

Objectives: The aims of this study were to design a best fit linear regression model to estimate VO 2max (estimated VO 2 ) and to compare the ability of VO 2 values (measured and estimated) predicting cardiorespiratory complications in a series of patients undergoing lung resection for lung cancer. Method: This was a prospective, observational study performed in 83 patients. Variables analyzed were: demographic characteristics, comorbidity, body mass index (BMI), FEV1%, FVC%, diffusion capacity (DLCO%), mean daily distance walked in kilometers, VO 2max measured by cardio-pulmonary exercise test (CPET) and postoperative complications. Descriptive and comparative statistical analysis of the variables was performed using the Mann-Whitney test for categorical variables and the Student's t-test for continuous variables. A new linear regression model was designed, where the dependent variable (measured VO 2max ) was estimated by the distance, DLCO% and age, resulting in the estimated VO 2 . The predictive power of the measured and estimated consumption was analyzed using the Student's t-test, grouping by the occurrence or absence of cardiorespiratory complications. Results: Both groups were homogeneous for age, sex, BMI, FEV1%, DLCO%, comorbidity, type of resection performed and mean distance walked per day. Estimated VO 2 and measured VO 2 were normally distributed (K-Smirnov test, P>.32). VO 2 means estimated by the model (age, DLCO% and mean distance walked per day) were significantly different between patients with and without complications (Student's t test, P=.037) compared with measured VO 2 values, which did not differentiate groups (Student's t test, P=.42). Conclusion: The VO 2max estimated by the model is more predictive in this case series than the VO 2max measured during a standard exercise test. © 2013 SEPAR.