Gonzalo Varela Simó

Recomendaciones SEPAR de diagnóstico y tratamiento del cáncer de pulmón de células no pequeñas

Felipe Villar Álvareza,*,1, Ignacio Muguruza Truebab,1, José Belda Sanchisc, Laureano Molins López-Rodód, Pedro Miguel Rodríguez Suáreze, Julio Sánchez de Cos Escuínf, Esther Barreirog, M. Henar Borrego Pintadoh, Carlos Disdier Vicentei, Javier Flandes Aldeyturriagaj, Pablo Gámez Garcíak, Pilar Garrido Lópezl, Pablo León Atancem, José Miguel Izquierdo Elenan, Nuria M. Novoa Valentíno, Juan José Rivas de Andrésp, Íñigo Royo Crespop, Ángel Salvatierra Velázquezq, Luis M. Seijo Maceirasr, Segismundo Solano Reinas, David Aguiar Bujandat, Régulo J. Ávila Martínezk, José Ignacio de Granda Oriveu, Eva de Higes Martínezv, Vicente Díaz-Hellín Gudek, Raúl Embún Florp, Jorge L. Freixinet Gilarte, María Dolores García Jiménezm, Fátima Hermoso Alarzak, Samuel Hernández Sarmientot, Antonio Francisco Honguero Martínezm, Carlos A. Jiménez Ruizw, Iker López Sanzn, Andrea Mariscal de Albak, Primitivo Martínez Vallinap, Patricia Menal Muñozx, Laura Mezquita Pérezl, María Eugenia Olmedo Garcíal, Carlos A. Rombolám, Íñigo San Miguel Arreguiy, María del Valle Somiedo Gutiérrezj, Ana Isabel Triviño Ramírezm, Joan Carles Trujillo Reyesc, Carmen Vallejoz, Paz Vaquero Lozanos, Gonzalo Varela Simóo y Javier J. ZuluetaaaThe Thoracic Surgery and Thoracic Oncology groups of the Spanish Society of Pulmonology and Thoracic Surgery (SEPAR) have backed the publication of a handbook on recommendations for the diagnosis and treatment of non-small cell lung cancer. Due to the high incidence and mortality of this disease, the best scientific evidence must be constantly updated and made available for consultation by healthcare professionals. To draw up these recommendations, we called on a wide-ranging group of experts from the different specialties, who have prepared a comprehensive review, divided into 4 main sections. The first addresses disease prevention and screening, including risk factors, the role of smoking cessation, and screening programs for early diagnosis. The second section analyzes clinical presentation, imaging studies, and surgical risk, including cardiological risk and the evaluation of respiratory function. The third section addresses cytohistological confirmation and staging studies, and scrutinizes the TNM and histological classifications, non-invasive and minimally invasive sampling methods, and surgical techniques for diagnosis and staging. The fourth and final section looks at different therapeutic aspects, such as the role of surgery, chemotherapy, radiation therapy, a multidisciplinary approach according to disease stage, and other specifically targeted treatments, concluding with recommendations on the follow-up of lung cancer patients and surgical and endoscopic palliative interventions in advanced stages.

Sumario ejecutivo de las recomendaciones SEPAR de diagnóstico y tratamiento del cáncer de pulmón de células no pequeñas

The Thoracic Surgery and Thoracic Oncology groups of the Spanish Society of Pulmonology and Thoracic Surgery (SEPAR) have backed the publication of a handbook on recommendations for the diagnosis and treatment of non-small cell lung cancer. Due to the high incidence and mortality of this disease, the best scientific evidence must be constantly updated and made available for consultation by healthcare professionals. To draw up these recommendations, we called on a wide-ranging group of experts from the different specialties, who have prepared a comprehensive review, divided into 4 main sections. The first addresses disease prevention and screening, including risk factors, the role of smoking cessation, and screening programs for early diagnosis. The second section analyzes clinical presentation, imaging studies, and surgical risk, including cardiological risk and the evaluation of respiratory function. The third section addresses cytohistological confirmation and staging studies, and scrutinizes the TNM and histological classifications, non-invasive and minimally invasive sampling methods, and surgical techniques for diagnosis and staging. The fourth and final section looks at different therapeutic aspects, such as the role of surgery, chemotherapy, radiation therapy, a multidisciplinary approach according to disease stage, and other specifically targeted treatments, concluding with recommendations on the follow-up of lung cancer patients and surgical and endoscopic palliative interventions in advanced stages.

Benchmarking en cirugía torácica. Tercera edición

INTRODUCTION Benchmarking entails continuous comparison of efficacy and quality among products and activities, with the primary objective of achieving excellence. OBJECTIVE To analyze the results of benchmarking performed in 2013 on clinical practices undertaken in 2012 in 17 Spanish thoracic surgery units. METHODS Study data were obtained from the basic minimum data set for hospitalization, registered in 2012. Data from hospital discharge reports were submitted by the participating groups, but staff from the corresponding departments did not intervene in data collection. Study cases all involved hospital discharges recorded in the participating sites. Episodes included were respiratory surgery (Major Diagnostic Category 04, Surgery), and those of the thoracic surgery unit. Cases were labelled using codes from the International Classification of Diseases, 9th revision, Clinical Modification. The refined diagnosis-related groups classification was used to evaluate differences in severity and complexity of cases. RESULTS General parameters (number of cases, mean stay, complications, readmissions, mortality, and activity) varied widely among the participating groups. Specific interventions (lobectomy, pneumonectomy, atypical resections, and treatment of pneumothorax) also varied widely. CONCLUSIONS As in previous editions, practices among participating groups varied considerably. Some areas for improvement emerge: admission processes need to be standardized to avoid urgent admissions and to improve pre-operative care; hospital discharges should be streamlined and discharge reports improved by including all procedures and complications. Some units have parameters which deviate excessively from the norm, and these sites need to review their processes in depth. Coding of diagnoses and comorbidities is another area where improvement is needed.

OriginalUn método alternativo para la predicción del riesgo de complicaciones postoperatorias en la resección pulmonarAn Alternative Method for Predicting the Risk of Postoperative Complications in Lung Resection

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.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 Students 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 Students 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 (Students t test, P=.037) compared with measured VO2 values, which did not differentiate groups (Students 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.

Un método alternativo para la predicción del riesgo de complicaciones postoperatorias en la resección pulmonar

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.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 Students 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 Students 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 (Students t test, P=.037) compared with measured VO2 values, which did not differentiate groups (Students 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.