Maria del Carmen Vargas Fajardo1, Nuria Maria Novoa Valentín2, Marcelo Fernando Jiménez López3, Jacinto Ramos Gonzalez4, Gonzalo Varela Simó3. 1. Servicio de Anestesiología, Hospital Universitario de Salamanca, Salamanca, España. 2. Servicio de Cirugía Torácica, Hospital Universitario de Salamanca, IBSAL, Salamanca, España. Electronic address: nuria.novoa@usal.es. 3. Servicio de Cirugía Torácica, Hospital Universitario de Salamanca, IBSAL, Salamanca, España. 4. Servicio de Neumología, Unidad de Pruebas Funcionales Respiratorias, Hospital Universitario de Salamanca, Salamanca, España.
Abstract
OBJECTIVES: The aims of this study were to design a best fit linear regression model to estimate VO2max (estimated VO2) and to compare the ability of VO2 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, VO2max 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 VO2max) was estimated by the distance, DLCO% and age, resulting in the estimated VO2. 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 VO2 and measured VO2 were normally distributed (K-Smirnov test, P>.32). VO2 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 VO2 values, which did not differentiate groups (Student's t test, P=.42). CONCLUSION: The VO2max estimated by the model is more predictive in this case series than the VO2max measured during a standard exercise test.
OBJECTIVES: The aims of this study were to design a best fit linear regression model to estimate VO2max (estimated VO2) and to compare the ability of VO2 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, VO2max 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 VO2max) was estimated by the distance, DLCO% and age, resulting in the estimated VO2. 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 VO2 and measured VO2 were normally distributed (K-Smirnov test, P>.32). VO2 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 VO2 values, which did not differentiate groups (Student's t test, P=.42). CONCLUSION: The VO2max estimated by the model is more predictive in this case series than the VO2max measured during a standard exercise test.
Authors: Weijiao Zhou; Katelyn E Webster; Ellen Lavoie Smith; Weiyun Chen; Philip T Veliz; Rishindra M Reddy; Janet L Larson Journal: Support Care Cancer Date: 2022-04-06 Impact factor: 3.603
Authors: Andrea Billé; James Buxton; Alessandro Viviano; David Gammon; Lukacs Veres; Tom Routledge; Karen Harrison-Phipps; Allison Dixon; Marco A Minetto Journal: Integr Cancer Ther Date: 2021 Jan-Dec Impact factor: 3.279