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)

Quality Control in Anatomical Lung Resection. Major Postoperative Complications vs Failure to Rescue / Control de calidad en la resección pulmonar anatómica. Complicaciones postoperatorias graves vs. fallo en el rescate

Objectives: Failure to rescue (FTR) is defined by the number of deaths among patients experiencing major complications after surgery. In this report we analyze FTR and apply a cumulative sum control chart (CUSUM) methodology for monitoring performance in a large series of operated lung carcinoma patients.Methods: Prospectively stored records of cases undergoing anatomical lung resection in one center were reviewed. Postoperative adverse events were coded and included as a binary variable (major, or minor complications). The occurrence of 30-day mortality was also recorded. Patients dying after suffering major complications were considered as FTR. Risk-adjusted CUSUM graphs using EuroLung1 and 2 variables were constructed for major complications and FTR. Points of plateauing or trend inversion were checked to detect intentional or non-adverted changes in the process of care.Results: 2237 cases included. 9.1% cases suffered major complications. The number of cases considered as failures to rescuing was 46 (2.1% of the total series and 22.5% of cases having major complications). The predictive performance of EuroLung1 and 2 models was as follows: EuroLung1 (major morbidity) C-index 0.70 (95%CI: 0.66–0.73); EuroLung2 (applied to FTR) C-index 0.81 (95%CI: 0.750.87). CUSUM graphs depicted improvement in rescuing complicated patients after case 330 but no improvement in the rate of non-complicated cases until case 720. (AU)

Objetivos: El fallo en el rescate (FTR, por sus siglas en inglés) se define por el número de muertes entre los pacientes que experimentan complicaciones graves tras la cirugía. En este informe analizamos el FTR y realizamos gráficos de control de suma acumulada (CUSUM, por sus siglas en inglés) para monitorizar los resultados en una serie de gran tamaño de pacientes operados de carcinoma de pulmón.Métodos: Se revisaron los datos almacenados prospectivamente de los casos de resección pulmonar anatómica en un centro. Se codificaron los eventos adversos postoperatorios y se incluyeron como una variable binaria (complicaciones graves o menores). También se registró la mortalidad a los 30 días. Los pacientes que murieron después de sufrir complicaciones mayores se consideraron FTR. Se elaboraron gráficos CUSUM ajustados al riesgo, utilizando las variables EuroLung1 y 2, para el análisis de las complicaciones graves y el FTR. Se analizaron los puntos de estancamiento o inversión de la tendencia para detectar los posibles cambios voluntarios o inadvertidos en el plan de cuidados.Resultados: Se incluyeron 2.237 casos. El 9,1% sufrieron complicaciones graves. El número de casos que se consideraron como fallos en el rescate fue de 46 (2,1% del total de la serie y 22,5% de los casos con complicaciones graves). El rendimiento predictivo de los modelos EuroLung1 y 2 fue el siguiente: EuroLung1 (morbilidad grave) índice C: 0,70 (IC 95%: 0,66-0,73); EuroLung2 (aplicado al FTR) índice C: 0,81 (IC 95%: 0,75-0,87). Los gráficos de CUSUM mostraron una mejora en el rescate de pacientes con complicaciones después del caso 330, pero ninguna mejora en la tasa de casos sin complicaciones hasta el caso 720. (AU)

Quality Control in Anatomical Lung Resection. Major Postoperative Complications vs Failure to Rescue.

OBJECTIVES: Failure to rescue (FTR) is defined by the number of deaths among patients experiencing major complications after surgery. In this report we analyze FTR and apply a cumulative sum control chart (CUSUM) methodology for monitoring performance in a large series of operated lung carcinoma patients. METHODS: Prospectively stored records of cases undergoing anatomical lung resection in one center were reviewed. Postoperative adverse events were coded and included as a binary variable (major, or minor complications). The occurrence of 30-day mortality was also recorded. Patients dying after suffering major complications were considered as FTR. Risk-adjusted CUSUM graphs using EuroLung1 and 2 variables were constructed for major complications and FTR. Points of plateauing or trend inversion were checked to detect intentional or non-adverted changes in the process of care. RESULTS: 2237 cases included. 9.1% cases suffered major complications. The number of cases considered as failures to rescuing was 46 (2.1% of the total series and 22.5% of cases having major complications). The predictive performance of EuroLung1 and 2 models was as follows: EuroLung1 (major morbidity) C-index 0.70 (95%CI: 0.66-0.73); EuroLung2 (applied to FTR) C-index 0.81 (95%CI: 0.750.87). CUSUM graphs depicted improvement in rescuing complicated patients after case 330 but no improvement in the rate of non-complicated cases until case 720. CONCLUSIONS: FTR offers a complementary view to classical outcomes for quality assessment in Thoracic Surgery. Our study also shows how the analysis of FTR on time series can be applied to evaluate changes in team performance along time.

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.

[Mortality from postoperative complications (failure to rescue) after cardiac surgery in a university hospital]. / Mortalidad de las complicaciones postoperatorias (failure to rescue) tras cirugía cardiaca en un hospital universitario.

OBJECTIVE: This study analyses the rate of post-operative complications after cardiac surgery, the incidence of the failure to rescue (FR), and the relationship between complications and survival. METHODS: The study included a total of 2,750 adult patients operated of cardiac surgery between January 2003 and December 2009. An analysis was made of 9 post-operative complications. Multiple logistic regression analysis was used to find independent variables associated with any of the selected complications. Survival was analysed with Kaplan-Meyer survival estimates. A risk-adjusted Cox proportional regression model was used to find out which complications were associated with mid-term survival. RESULTS: Hospital mortality rate was 1.4% (95% CI: 1.0%-1.9%). Postoperative complications rate was 38.5% (36.7%-40.4%), and FR 3.6% (2.5%-4.9%). Urgent surgery (OR = 2.03; 1.52-2.72), chronic renal failure (OR = 1.50, 95%.CI: 1.25-1.80), and age ≥70 years (OR = 1.42; 1.20-1.68) were the variables that showed the highest strength of association with the selected complications. Survival at 5 years in the group of patients without complications was 93%, and in the group of patients with complications it was 83% (P<.0001). Postoperative complications associated with mid-term survival were pneumonia (HR = 2.6, 95% CI; 1.27-5.50), acute myocardial infarction (HR = 1.9; 1.10-2.30), and acute renal failure (HR = 1.7; 1.30-2.26). CONCLUSIONS: The incidence of complications after cardiac surgery is around 40%, and was associated with an increase in hospital mortality, although FR was very low (3.6%; 95% CI: 2.5-4.9).