Factores predictores de estancia hospitalaria prolongada tras resección pulmonar anatómica / Predictive factors of prolonged postoperative length of stay after anatomic pulmonary resection

Introducción: El objetivo de este estudio es crear un modelo predictivo de estancia postoperatoria prolongada (EPP) en pacientes sometidos a resección pulmonar anatómica, validarlo en una serie externa y evaluar la influencia de la EPP en el reingreso y la mortalidad a 90 días. Métodos: Se incluyeron todos los pacientes registrados en la base de datos del GEVATS dados de alta tras la intervención. Definimos la EPP como la permanencia postoperatoria en días por encima del percentil 75 de estancia de todos los pacientes de la serie. Se realizó un análisis univariable y multivariable mediante regresión logística y el modelo fue validado en una cohorte externa. Se analizó la posible asociación entre la EPP y el reingreso y la mortalidad a 90 días. Resultados: Se incluyeron en el estudio 3473 pacientes. La mediana de estancia postoperatoria fue de 5 días (RIQ:4-7). Ochocientos quince pacientes tuvieron una EPP (≥8 días), de los que el 79,9% presentaron complicaciones postoperatorias. El modelo final incluyó como variables: edad, IMC, sexo varón, VEF1%ppo, DLCO%ppo y toracotomía; el AUC en la serie de derivación fue de 0,684 (IC95%: 0,661-0,706) y en la de validación de 0,73 (IC95%: 0,681-0,78). Se encontró una asociación significativa entre la EPP y el reingreso (p<0,000) y la mortalidad a 90 días (p<0,000). Conclusiones: Las variables edad, IMC, sexo varón, VEF1%ppo, DLCO%ppo y toracotomía afectan a la EPP. La EPP se asocia con un incremento del riesgo de reingreso y mortalidad a 90 días. El 20% de las EPP no se relacionan con la ocurrencia de complicaciones postoperatorias. (AU)

Introduction: The objective of this study is to create a predictive model of prolonged postoperative length of stay (PLOS) in patients undergoing anatomic lung resection, to validate it in an external series and to evaluate the influence of PLOS on readmission and 90-day mortality. Methods: All patients registered in the GEVATS database discharged after the intervention were included. We define PLOS as the postoperative stay in days above the 75th percentile of stay for all patients in the series. A univariate and multivariate analysis was performed using logistic regression and the model was validated in an external cohort. The possible association between PPE and readmission and mortality at 90 days was analyzed. Results: 3473 patients were included in the study. The median postoperative stay was 5 days (IQR: 4–7). 815 patients had PLOS (≥8 days), of which 79.9% had postoperative complications. The final model included as variables: age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy; the AUC in the referral series was 0.684 (95% CI: 0.661–0.706) and in the validation series was 0.73 (95% CI: 0.681–0.78). A significant association was found between PLOS and readmission (p<.000) and 90-day mortality (p<.000). Conclusions: The variables age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy affect PLOS. PLOS is associated with an increased risk of readmission and 90-day mortality. 20% of PLOS are not related to the occurrence of postoperative complications. (AU)

Factores predictores de estancia hospitalaria prolongada tras resección pulmonar anatómica / Predictive factors of prolonged postoperative length of stay after anatomic pulmonary resection

Introducción: El objetivo de este estudio es crear un modelo predictivo de estancia postoperatoria prolongada (EPP) en pacientes sometidos a resección pulmonar anatómica, validarlo en una serie externa y evaluar la influencia de la EPP en el reingreso y la mortalidad a 90 días. Métodos: Se incluyeron todos los pacientes registrados en la base de datos del GEVATS dados de alta tras la intervención. Definimos la EPP como la permanencia postoperatoria en días por encima del percentil 75 de estancia de todos los pacientes de la serie. Se realizó un análisis univariable y multivariable mediante regresión logística y el modelo fue validado en una cohorte externa. Se analizó la posible asociación entre la EPP y el reingreso y la mortalidad a 90 días. Resultados: Se incluyeron en el estudio 3473 pacientes. La mediana de estancia postoperatoria fue de 5 días (RIQ:4-7). Ochocientos quince pacientes tuvieron una EPP (≥8 días), de los que el 79,9% presentaron complicaciones postoperatorias. El modelo final incluyó como variables: edad, IMC, sexo varón, VEF1%ppo, DLCO%ppo y toracotomía; el AUC en la serie de derivación fue de 0,684 (IC95%: 0,661-0,706) y en la de validación de 0,73 (IC95%: 0,681-0,78). Se encontró una asociación significativa entre la EPP y el reingreso (p<0,000) y la mortalidad a 90 días (p<0,000). Conclusiones: Las variables edad, IMC, sexo varón, VEF1%ppo, DLCO%ppo y toracotomía afectan a la EPP. La EPP se asocia con un incremento del riesgo de reingreso y mortalidad a 90 días. El 20% de las EPP no se relacionan con la ocurrencia de complicaciones postoperatorias. (AU)

Introduction: The objective of this study is to create a predictive model of prolonged postoperative length of stay (PLOS) in patients undergoing anatomic lung resection, to validate it in an external series and to evaluate the influence of PLOS on readmission and 90-day mortality. Methods: All patients registered in the GEVATS database discharged after the intervention were included. We define PLOS as the postoperative stay in days above the 75th percentile of stay for all patients in the series. A univariate and multivariate analysis was performed using logistic regression and the model was validated in an external cohort. The possible association between PPE and readmission and mortality at 90 days was analyzed. Results: 3473 patients were included in the study. The median postoperative stay was 5 days (IQR: 4–7). 815 patients had PLOS (≥8 days), of which 79.9% had postoperative complications. The final model included as variables: age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy; the AUC in the referral series was 0.684 (95% CI: 0.661–0.706) and in the validation series was 0.73 (95% CI: 0.681–0.78). A significant association was found between PLOS and readmission (p<.000) and 90-day mortality (p<.000). Conclusions: The variables age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy affect PLOS. PLOS is associated with an increased risk of readmission and 90-day mortality. 20% of PLOS are not related to the occurrence of postoperative complications. (AU)

Predictive factors of prolonged postoperative length of stay after anatomic pulmonary resection.

INTRODUCTION: The objective of this study is to create a predictive model of prolonged postoperative length of stay (PLOS) in patients undergoing anatomic lung resection, to validate it in an external series and to evaluate the influence of PLOS on readmission and 90-day mortality. METHODS: All patients registered in the GEVATS database discharged after the intervention were included. We define PLOS as the postoperative stay in days above the 75th percentile of stay for all patients in the series. A univariate and multivariate analysis was performed using logistic regression and the model was validated in an external cohort. The possible association between PLOS and readmission and mortality at 90 days was analyzed. RESULTS: 3473 patients were included in the study. The median postoperative stay was 5 days (IQR: 4-7). 815 patients had PLOS (≥8 days), of which 79.9% had postoperative complications. The final model included as variables: age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy; the AUC in the referral series was 0.684 (95% CI: 0.661-0.706) and in the validation series was 0.73 (95% CI: 0.681-0.78). A significant association was found between PLOS and readmission (p < .000) and 90-day mortality (p < .000). CONCLUSIONS: The variables age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy affect PLOS. PLOS is associated with an increased risk of readmission and 90-day mortality. 20% of PLOS are not related to the occurrence of postoperative complications.

Mortality predictors in complicated patients after anatomical lung resection / Variables predictivas de muerte en pacientes complicados tras resección pulmonar anatómica

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. (AU)

Introducción: El fallo en el rescate (FTR) definido como la tasa de fallecimientos entre los pacientes que sufren una complicación postoperatoria, es considerado un indicador de la calidad de los cuidados quirúrgicos. El objetivo de este estudio es investigar los factores de riesgo asociados al FTR después de resecciones pulmonares anatómicas.Método: Se incluyeron en el estudio pacientes sometidos a resección pulmonar anatómica en nuestro centro entre 1994 y 2018. Las complicaciones postoperatorias se clasificaron en menores (grados I y II) y mayores (grados IIIa a V) según la clasificación estandarizada de morbilidad postoperatoria. Los casos que fallecieron tras una complicación mayor fueron considerados FTR. Se creó un modelo de regresión logística por pasos para identificar los factores predictores de FTR. Se consideraron variables independientes en el análisis multivariante la edad, índice de masa corporal, comorbilidad cardiaca, renal, cerebrovascular, VEF1ppo%, abordaje VATS, resección extendida, neumonectomía y reintervención. Se construyó una curva ROC no paramétrica para estimar la capacidad predictiva del modelo.Resultados: Se analizaron 2.569 pacientes. En total, 223 casos (8,9%) tuvieron complicaciones mayores y 49 (22%) no pudieron ser rescatados. Las variables asociadas con FTR fueron: edad (OR: 1,07), antecedente de ACV (OR: 3,53), neumonectomía (OR: 6,67) y reintervención (OR: 12,26). El área bajo la curva de la curva ROC fue 0,82 (IC 95%: 0,77–0,88).Conclusiones: 22% de los pacientes que presentan complicaciones mayores tras la resección pulmonar anatómica en esta serie no sobreviven al alta. La neumonectomía y la reintervención son los factores de riesgo más potentes para FTR. (AU)

Mortality predictors in complicated patients after anatomical lung resection.

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.

Mortality Predictors In Complicated Patients After Anatomical Lung Resection. / Variables predictivas de muerte en pacientes complicados tras resección pulmonar anatómica.

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.

Modificación del riesgo de mortalidad y morbilidad tras resección pulmonar en los últimos 20 años / Changes in the Risk of Mortality and Morbidity After Lung Resection in the Last 20 Years

Introducción: El objetivo del estudio es evaluar las modificaciones del riesgo de mortalidad y morbilidad cardiorrespiratoria calculada mediante los modelos de riesgo Eurolung 1 y 2 en los últimos 20 años para identificar variaciones en la selección de los pacientes o en la práctica quirúrgica que hayan conducido a cambios en el riesgo de muerte y complicaciones tras resecciones anatómicas pulmonares. Método: Análisis retrospectivo de una serie de 2435 casos consecutivos sometidos a resección pulmonar anatómica. La población fue dividida en tres períodos de tiempo: 1994-2006 (976 casos), 2007-2015 (945 casos) y 2016-2017 (420 casos). Se aplicaron los modelos Eurolung 1 y 2 a la serie y se calculó la probabilidad individual de efectos adversos. Se comparó dicha probabilidad media, así como la prevalencia o las medias de cada una de las variables que constituyen los modelos en cada período y se representó gráficamente la evolución del riesgo. Resultados: Se observó un descenso progresivo de ambos efectos adversos a lo largo del tiempo. La prevalencia de las variables binarias, excepto enfermedad coronaria, fue mayor en el último período. El porcentaje de neumonectomías y de resecciones ampliadas descendió en los dos últimos períodos y el número de casos abordados por VATS se incrementó considerablemente en 2016-2017. Conclusiones: El descenso del número de neumonectomías y el incremento de la tasa de procedimientos mínimamente invasivos se consideran las variables más relacionadas con la disminución del riesgo. Otros cambios en las características clínicas de los pacientes no parecen haber influido en los resultados

Introduction: The aim of this study is to evaluate changes in the risk of cardiorespiratory mortality and morbidity calculated by Eurolung risk models 1 and 2 in the last 20 years, and to identify variations in patient selection or surgical practice that might have altered the risk of death and complications after anatomical lung resections. Method: This was a retrospective analysis of a series of 2,435 consecutive patients who underwent anatomical lung resection. The population was divided into three time periods: 1994-2006 (976 cases), 2007-2015 (945 cases), and 2016-2017 (420 cases). Eurolung models 1 and 2 were applied to the series, and the individual probability of adverse effects was calculated. We compared this mean probability, and the prevalence or means of each of the variables included in the models in each period and plotted the evolution of the risk. Results: A progressive decrease was observed in both adverse effects over time. The prevalence of the binary variables, except for coronary heart disease, was higher in the last period. The percentage of pneumonectomies and extended resections fell in the last two periods and the number of cases treated with VATS increased substantially in 2016-2017. Conclusions: The decline in the number of pneumonectomies and the increase in the rate of minimally invasive procedures appear to be the variables most closely associated with decreased risk. Other changes in the clinical characteristics of the patients do not seem to have influenced the outcomes

Changes in the Risk of Mortality and Morbidity After Lung Resection in the Last 20 Years. / Modificación del riesgo de mortalidad y morbilidad tras resección pulmonar en los últimos 20 años.

INTRODUCTION: The aim of this study is to evaluate changes in the risk of cardiorespiratory mortality and morbidity calculated by Eurolung risk models 1 and 2 in the last 20 years, and to identify variations in patient selection or surgical practice that might have altered the risk of death and complications after anatomical lung resections. METHOD: This was a retrospective analysis of a series of 2,435 consecutive patients who underwent anatomical lung resection. The population was divided into three time periods: 1994-2006 (976 cases), 2007-2015 (945 cases), and 2016-2017 (420 cases). Eurolung models 1 and 2 were applied to the series, and the individual probability of adverse effects was calculated. We compared this mean probability, and the prevalence or means of each of the variables included in the models in each period and plotted the evolution of the risk. RESULTS: A progressive decrease was observed in both adverse effects over time. The prevalence of the binary variables, except for coronary heart disease, was higher in the last period. The percentage of pneumonectomies and extended resections fell in the last two periods and the number of cases treated with VATS increased substantially in 2016-2017. CONCLUSIONS: The decline in the number of pneumonectomies and the increase in the rate of minimally invasive procedures appear to be the variables most closely associated with decreased risk. Other changes in the clinical characteristics of the patients do not seem to have influenced the outcomes.

Sumario ejecutivo de las recomendaciones SEPAR de diagnóstico y tratamiento del cáncer de pulmón de células no pequeñas / Executive summary of the SEPAR recommendations for the diagnosis and treatment of non-small cell lung cancer

La Sociedad Española de Neumología y Cirugía Torácica (SEPAR), a través de las áreas de Cirugía Torácica y de Oncología Torácica, ha promovido la realización de un manual de recomendaciones para el diagnóstico y el tratamiento del cáncer de pulmón de células no pequeñas. Las elevadas incidencia y mortalidad de esta patología hacen necesaria una constante actualización de las mejores evidencias científicas para su consulta por parte de los profesionales de la salud. Para su confección se ha contado con un amplio grupo de profesionales de distintas especialidades que han elaborado una revisión integral, que se ha concretado en 4 apartados principales. En el primero se ha estudiado la prevención y el cribado de la enfermedad, incluyendo los factores de riesgo, el papel de la deshabituación tabáquica y el diagnóstico precoz mediante programas de cribado. En un segundo apartado se ha analizado la presentación clínica, los estudios de imagen y el riesgo quirúrgico, incluyendo el cardiológico y la evaluación funcional respiratoria. Un tercero trata sobre los estudios de confirmación cito-histológica y de estadificación, con un análisis de las clasificaciones TNM e histológica, métodos no invasivos y mínimamente invasivos, así como las técnicas quirúrgicas para el diagnóstico y estadificación. En un cuarto y último capítulo se han abordado aspectos del tratamiento, como el papel de las técnicas quirúrgicas, la quimioterapia, la radioterapia, el abordaje multidisciplinar por estadios y otros tratamientos dirigidos frente a dianas específicas, terminando con recomendaciones acerca del seguimiento del cáncer de pulmón y los tratamientos paliativos quirúrgicos y endoscópicos en estadios avanzados

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

Síndrome de distrés respiratorio agudo secundario a rotura traqueal postraqueostomía tratado con membrana de oxigenación extracorpórea venovenosa y prótesis endotraqueal / Acute respiratory distress due to post-tracheostomy tracheal rupture treated with venovenous extracorporeal membrane oxygenation and endotracheal prosthesis

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Executive summary of the SEPAR recommendations for the diagnosis and treatment of non-small cell lung cancer. / 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.

Recomendaciones SEPAR de diagnostico y tratamiento del cancer de pulmón de celulas no pequeñas / Recommendations of the Spanish Society of Pneumology and Thoracic Surgery on the diagnosis and treatment of non-small-cell lung cancer

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Benchmarking en cirugía torácica. Tercera edición / Benchmarking in Thoracic Surgery. Third Edition

Introducción: Benchmarking hace referencia a la comparación continuada de la eficiencia y la calidad entre productos y actividades con el objetivo fundamental de alcanzar la excelencia. Objetivo: Analizar los resultados del benchmarking realizado en 2013 con la actividad asistencial de Cirugía Torácica en el año 2012 en 17 servicios de Cirugía Torácica españoles participantes. Métodos: La fuente de información para el estudio ha sido el conjunto mínimo básico de datos de hospitalización correspondiente al año 2012. Los datos han sido proporcionados por los centros participantes, a partir de los informes de alta hospitalaria, sin intervención de los responsables de los correspondientes servicios asistenciales. Los casos objeto del estudio han sido todas las altas de hospitalización registradas en los centros participantes. Los episodios incluidos han sido los de enfermedad quirúrgica respiratoria (CDM4-Q) y los del servicio de Cirugía Torácica. La identificación de estos casos se realizó usando los códigos de la novena edición de la Clasificación Internacional de Enfermedades, Modificación Clínica. Para valorar las diferencias en gravedad y complejidad de los casos se ha utilizado la clasificación de los grupos relacionados por el diagnóstico refinados. Resultados: Los diversos parámetros generales estudiados (casuística, estancia media, complicaciones, readmisiones, mortalidad y actividad) han tenido una gran variabilidad entre los participantes. El análisis concreto de intervenciones (lobectomía, neumonectomía, resecciones atípicas y neumotórax), también han oscilado considerablemente. Conclusiones: Se observa, al igual que en ediciones previas, una considerable variabilidad entre los grupos participantes. Existen áreas de mejora evidentes: estandarización de los procesos de admisión, evitando ingresos urgentes y mejorando la estancia preoperatoria; agilización de las altas hospitalarias y mejora de los informes de alta, reflejando toda la actividad y las complicaciones habidas. Algunas unidades de Cirugía Torácica deben hacer una revisión profunda de sus procesos porque pueden tener algunos parámetros con una desviación excesiva de la norma. También deben mejorarse los procesos de codificación de diagnósticos y comorbilidades

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

Benchmarking in Thoracic Surgery. Third Edition.

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.

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

Objetivos: Los objetivos de este trabajo son rediseñar un modelo de regresión lineal para estimar el valor de VO2max (VO2 estimado) ya publicado y comparar la capacidad predictiva de los valores VO2 medido y VO2 estimado en la aparición de complicaciones cardiorrespiratorias en una serie de pacientes sometidos a resección pulmonar por cáncer de pulmón. Método: Estudio prospectivo y observacional en 83 pacientes. Variables analizadas: demográficas, comorbilidad, IMC, FEV1%, FVC%, DLCO%, distancia recorrida media diaria (km), VO2max medido en el test de ejercicio cardiopulmonar (CPET) y complicación postoperatoria. Estadística descriptiva y comparativa de variables usando Mann-Whitney test para categóricas y t de Student para continuas normales. Se diseña un modelo de regresión lineal donde VO2max, la variable dependiente, se estima desde la distancia recorrida, DLCO% y edad del paciente y su resultado es la VO2 estimada. Se compara la capacidad predictiva de los VO2max medido y estimado mediante t de Student, agrupando por ocurrencia o no de complicaciones cardiorrespiratorias. Resultados: Los 2 grupos son homogéneos en edad, distribución de sexos, IMC, FEV1%, DLCO%, comorbilidad, cirugía realizada y distancia media recorrida/día. VO2 medida y VO2 estimada tienen distribución normal (K-Smirnov p > 0,32). En la predicción de complicaciones, las medias del VO2 estimado a partir del modelo son significativamente diferentes entre los pacientes con/sin complicación (t de Student p = 0,037); frente a los valores de VO2 medido que no distinguen grupos (t de Student p = 0,42). Conclusiones: El VO2max estimado por el modelo es más predictivo en esta serie de casos que el VO2max medido en una CPET

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 > 0.32). 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 = 0.037) compared with measured VO2 values, which did not differentiate groups (Student's t test , P = 0.42). Conclusion: The VO2max estimated by the model is more predictive in this case series than the VO2max measured during a standard exercise test

An 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. 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.

Prevalencia de la enfermedad tromboembólica venosa en cirugía torácica programada / Prevalence of Venous Thromboembolism in Elective Thoracic Surgery

Introducción: El objetivo de este estudio es determinar la prevalencia de la enfermedad tromboembólica venosa (ETV) en pacientes sometidos a intervenciones quirúrgicas torácicas programadas bajo un protocolo de profilaxis antitrombótica y determinar el riesgo de tromboembolismo pulmonar (TEP) en pacientes con resección pulmonar anatómica, comparando los casos de lobectomía y neumonectomía. Pacientes y método: Estudio descriptivo retrospectivo transversal en el que se incluyeron 6.004 pacientes sometidos a intervenciones quirúrgicas programadas en nuestro centro y que recibieron profilaxis antitrombótica según protocolo. Los pacientes fueron distribuidos en grupos en función del riesgo trombótico en bajo, moderado, alto y muy alto. Se calculó la prevalencia de ETV, trombosis venosa profunda (TVP) y TEP en cada grupo y la odds ratio de TEP en los grupos de pacientes con neumonectomía y lobectomía. Resultados: Once pacientes presentaron ETV (0,18%). La edad media de estos pacientes fue de 65,95 años, el 90,9% tenían un diagnóstico de neoplasia y esta complicación fue más frecuente en neumonectomía (45,45% de los casos de ETV). El 80,8% de los pacientes presentaban un riesgo alto de ETV y el 100% de los casos de ETV se dio en pacientes de alto riesgo (0,23%). La odds ratio de ETV fue de 4,6 comparando los casos de neumonectomía y lobectomía. Conclusiones: La prevalencia de ETV en esta serie, en la que se ha seguido una pauta estandarizada de profilaxis, es de 0,18% (1,31% en pacientes neumonectomizados). Estas cifras pueden ser utilizadas como valores de referencia en cirugía torácica (AU)

Introduction: The aim of this study was to determine the prevalence of venous thromboembolism (VTE) after elective thoracic surgery in patients receiving antithrombotic prophylaxis, and to evaluate the risk of pulmonary embolism (PE) after lung resection. Patients and methods: A descriptive, cross-sectional, retrospective study was designed. A total of 6004 patients were included. All patients underwent elective thoracic surgery. Prophylactic antithrombotic therapy was standardized in all cases. Patients were divided into four groups (low, moderate, high and very high) according to their thrombotic risk. The prevalence of VTE, deep vein thrombosis (DVT) and PE in each group was calculated. The odds of PE for pneumonectomy were also calculated and compared to lobectomy. Results: Eleven patients (0.18%) had postoperative VTE. The mean age of this subset was 65.95 years; 90.9% were diagnosed with malignant neoplasm. Some 80.8% of patients in the series and all VTE cases were included in the high risk VTE group. VTE was more common in pneumonectomy (45.45% of VTE cases, odds ratio 4.6 compared to lobectomy). Conclusions: The prevalence of VTE in this series was 0.18% (1.31% in pneumonectomy patients). These figures could serve as reference values for thromboembolic disease in general thoracic surgery (AU)

Prevalence of venous thromboembolism in elective thoracic surgery.

INTRODUCTION: The aim of this study was to determine the prevalence of venous thromboembolism (VTE) after elective thoracic surgery in patients receiving antithrombotic prophylaxis, and to evaluate the risk of pulmonary embolism (PE) after lung resection. PATIENTS AND METHOD: A descriptive, cross-sectional, retrospective study was designed. A total of 6004 patients were included. All patients underwent elective thoracic surgery. Prophylactic antithrombotic therapy was standardised in all cases. Patients were divided into four groups (low, moderate, high and very high) according to their thrombotic risk. The prevalence of VTE, deep vein thrombosis and PE in each group was calculated. The odds of PE for pneumonectomy was also calculated and compared to lobectomy. RESULTS: Eleven patients (0.18%) had postoperative VTE. The mean age of this subset was 65.95 years; 90.9% were diagnosed with malignant neoplasm. Some 80.8% of patients in the series and all VTE cases were included in the high risk VTE group. VTE was more common in pneumonectomy (45.45% of VTE cases, odds ratio 4.6 compared to lobectomy). CONCLUSIONS: The prevalence of VTE in this series was 0.18% (1.31% in pneumonectomy patients). These figures could serve as reference values for thromboembolic disease in general thoracic surgery.