Results of an exploratory survey within ESTS membership in 2022 on current trend of robotic-assisted thoracic surgery and its training perspectives.

OBJECTIVES: Robotic-assisted thoracic surgery (RATS) is increasingly used in our specialty. We surveyed European Society of Thoracic Surgeons membership with the objective to determine current status of robotic thoracic surgery practice including training perspectives. METHODS: A survey of 17 questions was rolled out with 1 surgeon per unit responses considered as acceptable. RESULTS: A total of 174 responses were obtained; 56% (97) were board-certified thoracic surgeons; 28% (49) were unit heads. Most responses came from Italy (20); 22% (38) had no robot in their institutions, 31% (54) had limited access and only 17% (30) had full access including proctoring. Da Vinci Xi was the commonest system in 56% (96) centres, 25% (41) of them had dual console in all systems, whereas RATS simulator was available only in half (51.18% or 87). Video-assisted thoracic surgery (VATS) was the most commonly adopted surgical approach in 81% of centres (139), followed by thoracotomy in 67% (115) and RATS in 36% (62); 39% spent their training time on robotic simulator for training, 51% on robotic wet/dry lab, which being no significantly different to 46-59% who had training on VATS platform. There was indeed huge overlap between simulator models or varieties usage; 52% (90) reported of robotic surgery not a part of training curriculum with no plans to introduce it in future. Overall, 51.5% (89) responded of VATS experience being helpful in robotic training in view of familiarity with minimally invasive surgery anatomical views and dissection; 71% (124) reported that future thoracic surgeons should be proficient in both VATS and RATS. Half of the respondents found no difference in earlier chest drain removal with either approach (90), 35% (60) reported no difference in postoperative pain and 49% (84) found no difference in hospital stay; 52% (90) observed better lymph node harvest by RATS. CONCLUSIONS: Survey concluded on a positive response with at least 71% (123) surgeons recommending to adopt robotics in future.

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.

Predictive factors of pathological complete response after induction (ypT0N0M0) in non-small cell lung cancer and short-term outcomes: Results of the Spanish Group of Video-assisted Thoracic Surgery (GE-VATS).

INTRODUCTION: To analyze the predictors of pCR in NSCLC patients who underwent anatomical lung resection after induction therapy and to evaluate the postoperative results of these patients. METHODS: All patients prospectively registered in the database of the GE-VATS working group undergone anatomic lung resection by NSCLC after induction treatment and recruited between 12/20/2016 and 3/20/2018 were included in the study. The population was divided into two groups: patients who obtained a complete pathological response after induction (pCR) and patients who did not obtain a complete pathological response after induction (non-pCR). A multivariate analysis was performed using a binary logistic regression to determine the predictors of pCR and the postoperative results of patients were analyzed. RESULTS: Of the 241 patients analyzed, 36 patients (14.9%) achieved pCR. Predictive factors for pCR are male sex (OR: 2.814, 95% CI: 1.015-7.806), histology of squamous carcinoma (OR: 3.065, 95% CI: 1.233-7.619) or other than adenocarcinoma (OR: 5.788, 95% CI: 1.878-17.733) and induction therapy that includes radiation therapy (OR: 4.096, 95% CI: 1.785-9.401) and targeted therapies (OR: 7.625, 95% CI: 2.147-27.077). Prevalence of postoperative pulmonary complications was higher in patients treated with neoadjuvant chemo-radiotherapy (p = 0.032). CONCLUSIONS: Male sex, histology of squamous carcinoma or other than ADC, and induction therapy that includes radiotherapy or targeted therapy are positive predictors for obtaining pCR. Induction chemo-radiotherapy is associated with a higher risk of postoperative pulmonary 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)

Resecciones pulmonares anatómicas por vía robótica: análisis de la curva de aprendizaje / Robotic anatomical lung resections: Analysis of the learning curve

Introducción: La cirugía robótica se ha convertido en una vía de abordaje segura y efectiva para el tratamiento de la patología quirúrgica pulmonar. Sin embargo, la adopción de nuevas técnicas quirúrgicas requiere de la evaluación de la curva de aprendizaje. El objetivo de este estudio es analizar la curva de aprendizaje de las resecciones pulmonares anatómicas por vía robótica. Métodos: Análisis retrospectivo de todas las resecciones pulmonares anatómicas por vía robótica realizadas por un mismo cirujano entre junio de 2018 y marzo de 2020. La curva de aprendizaje se evaluó utilizando gráficas CUSUM para estimar los cambios en la tendencia del tiempo y los fallos quirúrgicos y la aparición de complicaciones cardiorrespiratorias postoperatorias a lo largo de la secuencia de casos. Resultados: El estudio incluyó un total de 73 casos. La mediana de duración de todas las intervenciones fue de 120min (rango intercuartílico: 90-150min), la prevalencia de fallo quirúrgico fue del 23,29%, mientras que 4/73 pacientes presentaron alguna complicación cardiorrespiratoria postoperatoria. Con base en el análisis CUSUM, la curva de aprendizaje fue dividida en 3 fases diferentes: fase i (desde la primera hasta la 14.a intervención), fase ii (entre la 15.a y la 30.a intervención) y fase iii (a partir de la 31.a intervención). Conclusiones: La curva de aprendizaje para las resecciones pulmonares anatómicas por vía robótica puede dividirse en 3 fases. La competencia técnica que asegura resultados perioperatorios satisfactorios se consiguió en la fase iii, a partir de la 31.a intervención. (AU)

Introduction: Robotic surgery has become a safe and effective approach for the treatment of pulmonary surgical pathology. However, the adoption of new surgical techniques requires the evaluation of the learning curve. The objective of this study is to analyze the learning curve of robotic anatomical lung resections. Methods: Retrospective analysis of all robotic anatomical lung resections performed by the same surgeon between June 2018 and March 2020. The learning curve was evaluated using CUSUM charts to estimate trend changes in surgical time, surgical failure and the occurrence of post-operative cardiorespiratory complications throughout the sequence of cases. Results: The study included a total of 73 cases. The median duration of all complications was 120min (interquartile range: 90-150min), the prevalence of surgical failure was 23.29%, while 4/73 patients had any postoperative cardiorespiratory complication. Based on the CUSUM analysis, the learning curve was divided into 3 different phases: phase i (from the first to the 14th intervention), phase ii (between the 15th and 30th intervention) and phase iii (from the 31st intervention). Conclusions: The learning curve for robotic anatomical lung resections can be divided into 3 phases. The technical competence that guarantees satisfactory perioperative outcomes was achived in phase iii from the 31st intervention. (AU)

Robotic anatomical lung resections: Analysis of the learning curve.

INTRODUCTION: Robotic surgery has become a safe and effective approach for the treatment of pulmonary surgical pathology. However, the adoption of new surgical techniques requires the evaluation of the learning curve. The objective of this study is to analyze the learning curve of robotic anatomical lung resections. METHODS: Retrospective analysis of all robotic anatomical lung resections performed by the same surgeon between June 2018 and March 2020. The learning curve was evaluated using CUSUM charts to estimate trend changes in surgical time, surgical failure and the occurrence of post-operative cardiorespiratory complications throughout the sequence of cases. RESULTS: The study included a total of 73 cases. The median duration of all complications was 120 min (interquartile range: 90-150 min), the prevalence of surgical failure was 23.29%, while 4/73 patients had any postoperative cardiorespiratory complication. Based on the CUSUM analysis, the learning curve was divided into 3 different phases: phase i (from the first to the 14th intervention), phase ii (between the 15th and 30th intervention) and phase iii (from the 31st intervention). CONCLUSIONS: The learning curve for robotic anatomical lung resections can be divided into 3 phases. The technical competence that guarantees satisfactory perioperative outcomes was achived in phase iii from the 31st intervention.

El «efecto día de la semana» no tiene impacto en la aparición de complicaciones o mortalidad tras la resección pulmonar: estudio de cohortes histórico / The «Weekday Effect» Does Not Have an Impact on the Development of Complications or Mortality After Pulmonary Resection: Retrospective Cohort Study

Objetivo: Determinar si la cirugía de resección pulmonar anatómica electiva llevada a cabo al final de la semana se asocia con una mayor morbimortalidad postoperatoria que la cirugía realizada al inicio de la semana.Método: Estudio de cohortes histórico en el que se incluyeron todos los pacientes sometidos a resección pulmonar anatómica entre el 1 de enero de 2013 y 1 de noviembre de 2018 en nuestro centro. Se consideraron «expuestos» los pacientes intervenidos al final de la semana (jueves o viernes) y «no expuestos» los intervenidos al inicio de la semana (lunes, martes o miércoles). Se comparó la probabilidad de complicaciones cardiorrespiratorias y muerte operatoria (30días) en las dos cohortes calculada mediante los modelos de riesgo Eurolung1 y2. Como variables de resultado se estudiaron la mortalidad a 30días y la ocurrencia de complicaciones cardiorrespiratorias relacionadas con la técnica postoperatoria. Se calculó la incidencia de estos efectos adversos para la serie global y para ambas cohortes y se determinó el riesgo relativo (RR) y su intervalo de confianza al 95% (IC95%).Resultados: La mortalidad global de la serie fue del 0,9% (10/1.172), la incidencia de complicaciones cardiorrespiratorias fue del 10,2% (120/1.172) y la de complicaciones técnicas, del 20,6% (242/1.172). El RR calculado para las complicaciones cardiorrespiratorias, técnicas y mortalidad en expuestos y no expuestos fue: 0,914 (IC95%: 0,804-1,039), 0,996 (IC95%: 0,895-1,107) y 0,911 (IC95%: 0,606-1,37), respectivamente.Conclusiones: Los pacientes intervenidos al final de la semana no presentan un mayor riesgo de efectos adversos postoperatorios. (AU)

Objective: To determine whether elective anatomic pulmonary resection surgery carried out at the end of the week is associated with a higher mortality and postoperative morbidity than surgery performed at the beginning of the week. Method: Historical cohort study. All patients undergoing anatomical pulmonary resection between January 2013 and November 2018 in our center were included. Patients operated at the end of the week (Thursday or Friday) were considered «not exposed» and patients operated at the beginning of the week (Monday, Tuesday or Wednesday) were considered «exposed». The likelihood of cardiorespiratory complications and operative death (30days) was compared in the two cohorts calculated using the Eurolung1 and2 risk models. 30-day mortality and the occurrence of cardiorespiratory and technical complications were studied as outcome variables. The incidence of these adverse effects was calculated for the overall series and for both cohorts, and the relative risk (RR) and its 95% confidence interval (95%CI) were determined. Results: The overall mortality of the series was 0.9% (10/1172), the incidence of cardiorespiratory complications was 10.2% (120/1172) and that of technical complications was 20.6% (242/1172). The RR calculated for cardiorespiratory, technical complications and mortality in exposed and unexposed subjects was: 0.914 (95%CI: 0.804-1.039), 0.996 (95%CI: 0.895-1.107) and 0.911 (95%CI: 0.606-1.37), respectively. Conclusions: Patients operated at the end of the week do not present a higher risk of postoperative adverse effects. (AU)

Predictive factors of pathological complete response after induction (ypT0N0M0) in non-small cell lung cancer and short-term outcomes: results of the Spanish Group of Video-assisted Thoracic Surgery (GE-VATS). / Factores predictores de respuesta completa patológica tras inducción (ypT0N0M0) en cáncer de pulmón no microcítico y resultados a corto plazo: resultados del Grupo Español de Cirugía Torácica Videoasistida (GE-VATS).

INTRODUCTION: To analyze the predictors of pathological complete response (pCR) in not small cells lung carcinoma (NSCLC) patients who underwent anatomical lung resection after induction therapy and to evaluate the postoperative results of these patients. METHODS: All patients prospectively registered in the database of the GE-VATS working group undergone anatomic lung resection by NSCLC after induction treatment and recruited between December 20th 2016, and March 20th 2018, were included in the study. The population was divided into two groups: patients who obtained a complete pathological response after induction (pCR) and patients who did not obtain a complete pathological response after induction (non-pCR). A multivariate analysis was performed using a binary logistic regression to determine the predictors of pCR and the postoperative results of patients were analyzed. RESULTS: Of the 241 patients analyzed, 36 patients (14.9%) achieved pCR. Predictive factors for pCR are male sex (OR 2.814, 95% CI 1.015-7.806), histology of squamous carcinoma (OR 3.065, 95% CI 1.233-7.619) or other than adenocarcinoma (ADC) (OR 5.788, 95% CI 1.878-17.733) and induction therapy that includes radiation therapy (OR 4.096, 95% CI 1.785-9.401) and targeted therapies (OR 7.625, 95% CI 2.147-27.077). Prevalence of postoperative pulmonary complications was higher in patients treated with neoadjuvant chemo-radiotherapy (p = 0.032). CONCLUSIONS: Male sex, histology of squamous carcinoma or other than ADC, and induction therapy that includes radiotherapy or targeted therapy are positive predictors for obtaining pCR. Induction chemo-radiotherapy is associated with a higher risk of postoperative pulmonary complications.

The «Weekday Effect¼ Does Not Have an Impact on the Development of Complications or Mortality After Pulmonary Resection: Retrospective Cohort Study. / El «efecto día de la semana¼ no tiene impacto en la aparición de complicaciones o mortalidad tras la resección pulmonar: estudio de cohortes histórico.

OBJECTIVE: To determine whether elective anatomic pulmonary resection surgery carried out at the end of the week is associated with a higher mortality and postoperative morbidity than surgery performed at the beginning of the week. METHOD: Historical cohort study. All patients undergoing anatomical pulmonary resection between January 2013 and November 2018 in our center were included. Patients operated at the end of the week (Thursday or Friday) were considered «not exposed¼ and patients operated at the beginning of the week (Monday, Tuesday or Wednesday) were considered «exposed¼. The likelihood of cardiorespiratory complications and operative death (30days) was compared in the two cohorts calculated using the Eurolung1 and2 risk models. 30-day mortality and the occurrence of cardiorespiratory and technical complications were studied as outcome variables. The incidence of these adverse effects was calculated for the overall series and for both cohorts, and the relative risk (RR) and its 95% confidence interval (95%CI) were determined. RESULTS: The overall mortality of the series was 0.9% (10/1172), the incidence of cardiorespiratory complications was 10.2% (120/1172) and that of technical complications was 20.6% (242/1172). The RR calculated for cardiorespiratory, technical complications and mortality in exposed and unexposed subjects was: 0.914 (95%CI: 0.804-1.039), 0.996 (95%CI: 0.895-1.107) and 0.911 (95%CI: 0.606-1.37), respectively. CONCLUSIONS: Patients operated at the end of the week do not present a higher risk of postoperative adverse effects.

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

¿Cómo implementar un programa de lobectomía VATS en España? El laboratorio experimental (Wet Lab) es una herramienta necesaria / Implementing a VATS lobectomy program in Spain. The Wet Lab, a necessary tool

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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