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.

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.

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.

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.

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.

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.

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.

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.

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.

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.