Correction to: Esogastro-Pleuro-Bronchial Fistula: An Unusual Complication After Sleeve Gastrectomy.

Due to a Production error Figs. 1 and 2 were omitted from the original article.

Analysis of quality of life after major trauma: a spanish follow-up cohort study.

PURPOSE: Study objectives are to determine whether quality of life is recovered completely after major injury and to identify determinants associated with a worse quality of life. METHODS: Prospective 12-month follow-up of injured patients admitted to the intensive care unit in a Spanish level 1 trauma centre. The main outcome (quality of life) was measured using the EQ-5D-5L. The relationships between sociodemographic factors, injury severity and location, and quality of life scores were evaluated. Mean comparison analysis (95% confidence interval) was performed with the student "t" test for quantitative variables and with chi-squared for proportion comparison (qualitative variables). A multivariate logistic regression (odds ratio and 95% confidence interval) was performed to identify determinants of each dimension, and a multivariate linear regression (regression coefficient and 95% confidence interval) to identify the determinants of EQus and EQvas. RESULTS: Over a 2-year period, 304 patients who met the inclusion criteria were identified, and 200 patients (65.8%) were finally included. Most of patients suffered blunt trauma (91.5%), 72.5% were men, mean age was 47.8, mean ISS was 15.2. The overall health index (EQvas) improved slightly, but its mean value at 12 months was below the Spanish population norm (P < 0.001). In the multivariate analysis, age ≥ 55, female gender and unskilled employment were risk factors for a lower EQvas. Also in the multivariate analysis, having a severe extremity injury was associated with a lower score on the mobility dimension (OR 6.56 95% CI 2.00, 21.55) while age ≥ 55 years was associated with a lower score on the usual activities dimension (OR 3.52 95% CI 1.17, 10.57). Female gender was the most important factor associated with suffering pain (OR 4.54, 95% CI 2.01, 10.27) and depression/anxiety (OR 4.04, 95% CI 1.88, 8.65). In the univariate and multivariate analyses, female gender, age ≥ 55 years, ISS ≥ 25 and severe extremity injury were associated with a lower EQ utility score (EQus). CONCLUSIONS: The quality of life score improves during the first year after major trauma. However, it does not return to the reference levels for the normal population. Female gender and age ≥ 55 years are statistically significant determinants of poorer EQvas and EQus.

Preventable deaths and potentially preventable deaths. What are our errors?

BACKGROUND: A variety of systems have been applied to identify and address errors in the management of multiple trauma patients. This lack of standardisation represents a serious problem. OBJECTIVES: Detect preventable and potentially preventable deaths, and classify all the errors with universal language. METHODS: We studied all trauma patients over 16 admitted to the critical care unit or who died before. In multidisciplinary sessions we decided which deaths were preventable, potentially preventable and non preventable. Guided by ATLS protocols, we detected errors in their management that were classified using the taxonomy of Joint Commission. RESULTS: We registered 1236 trauma patients (ISS 20.77). Of the 115 trauma deaths, 19 were preventable or potentially preventable deaths. We recorded 130 errors in all deaths, 46 of them in preventable or potentially preventable deaths. Using our own classification, the main errors were delay in starting correct treatment or performance of CT in hemodynamically unstable patients. Using the taxonomy of Joint Commission, the main type error was clinical, during the intervention: the delay in initiating correct treatment. Mistakes were made in the emergency department by medical specialists. The incidence of therapeutic and diagnostic errors was similar. The main cause of error was human failure, specifically 'rule-based' errors CONCLUSIONS: Measuring and recording the results is the first step on the way to improving the quality of care for trauma patients. A common language like the taxonomy of Joint Commission will help standardise patient safety data, thus improving the recording of incidents and their analysis and treatment.

Impact of ATLS training on preventable and potentially preventable deaths.

BACKGROUND: Multiple trauma continues to have a high incidence worldwide. Trauma is the leading cause of death among people between the ages of 10 and 40. The Advanced Trauma Life Support (ATLS) is the most widely accepted method for the initial control and treatment of multiple trauma patients. It is based on the following hypothesis: The application of the ATLS program may reduce preventable or potentially preventable deaths in trauma patients. MATERIALS AND METHODS: The present article reports a retrospective study based on the records of prospectively evaluated trauma patients between January 2007 and December 2012. Trauma patients over the age of 18 admitted to the critical care unit or patients who died before hospital admission were included. A multidisciplinary committee looked for errors in the management of each patient and classified deaths into preventable, potentially preventable, or nonpreventable. We recorded the number of specialists at our center who had received training in the ATLS program. RESULTS: A total of 898 trauma patients were registered. The mean injury severity score was 21 (SD 15), and the mortality rate was 10.7 % (96 cases). There were 14 cases (14.6 %) of preventable or potentially preventable death. The main errors were delay in initiating suitable treatment and performing a computed tomography scan in cases of hemodynamic instability, followed by initiation of incorrect treatment or omission of an essential procedure. As the number of ATLS-trained professionals increases, the rates of potentially preventable or preventable death fall. CONCLUSIONS: Well-founded protocols such as the ATLS can help provide the preparation health professionals need. In our hospital environment, ATLS training has helped to reduce preventable or potentially preventable mortality among trauma patients.

Learning curve for d2 lymphadenectomy in gastric cancer.

Background. D2 lymphadenectomy is a demanding technique which is associated with high morbidity in the West. We report our experience with D2 lymphadenectomy after a training period in Japan. Methods. Prospective, descriptive study in 133 consecutive patients undergoing radical gastrectomy for gastric adenocarcinoma from 2005 to 2011. We analysed the number of lymph nodes removed, observed morbidity/mortality compared with the predictions of POSSUM and O-POSSUM, survival, and disease-free interval for patients with D1 and D2 lymphadenectomy. Results. The morbidity rate in patients with D1 lymphadenectomy was 59.4%. For D2 it was 47.7%. The mortality rate in patients with D1 was 6.7%. In the D2 group it was 6.8%. Median survival was 42.9 months in D1 and 55 months in D2. The disease-free interval was 49 months for D1 and 58 months for D2. Conclusion. The learning curve for D2 lymphadenectomy presents acceptable rates of morbidity and mortality, providing that the technique is learnt at a center with extensive experience.

[Adverse events in general surgery. A prospective analysis of 13,950 consecutive patients]. / Efectos adversos en cirugía general. Análisis prospectivo de 13.950 pacientes consecutivos.

INTRODUCTION: Adverse event (AE) rates in General Surgery vary, according to different authors and recording methods, between 2% and 30%. Six years ago we designed a prospective AE recording system to change patient safety culture in our Department. We present the results of this work after a 6 year follow-up. MATERIAL AND METHOD: The AE, sequelae and health care errors in a University Hospital surgery department were recorded. An analysis of each incident recorded was performed by a reviewer. The data was entered into data base for rapid access and consultation. The results were routinely presented in Departmental morbidity-mortality sessions. RESULTS: A total of 13,950 patients had suffered 11,254 AE, which affected 5142 of them (36.9% of admissions). A total of 920 patients were subjected to at least one health care error (6.6% of admissions). This meant that 6.6% of our patients suffered an avoidable AE. The overall mortality at 5 years in our department was 2.72% (380 deaths). An adverse event was implicated in the death of the patient in 180 cases (1.29% of admissions). In 49 cases (0.35% of admissions), mortality could be attributed to an avoidable AE. After 6 years there tends to be an increasingly lower incidence of errors. CONCLUSIONS: The exhaustive and prospective recording of AE leads to changes in patient safety culture in a Surgery Department and helps decrease the incidence of health care errors.

An evaluation of morbidity and mortality in oncologic gastric surgery with the application of POSSUM, P-POSSUM, and O-POSSUM.

OBJECTIVE: Evaluation of surgical results observed in oncologic gastric surgery with reference to estimation of risks through POSSUM (Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity), P-POSSUM (Portsmouth POSSUM), and O-POSSUM (regression model based on the POSSUM and P-POSSUM, especially designed for gastric and esophagus surgery). METHODS: A prospective follow-up of a cohort of 106 consecutive patients, gastrectomized because of gastric cancer. The variables studied were: age, sex, technical surgery, American Society of Anesthesiologists (ASA) score, the Charlson comorbidity index, morbidity, and mortality. RESULTS: From January 2004 to April 2008, 131 patients were operated on for gastric neoplasia. Of these, 28 patients were excluded: 5 because of nonstandard gastrectomy, 17 because of staging laparoscopy or unresectable cancer after laparotomy, and 3 because of palliative gastroenteroanastomosis; 106 patients were included. We performed 38 total gastrectomies, 65 distal gastrectomies, 2 esophagogastrectomies, and 1 proximal gastrectomy. The mean age was 68 years (standard deviation (SD) = 12.1; range, 34-85 years). Associated comorbidity (Charlson) was 5.4 (SD = 2.7; range, 2-16); ASA 1 at 1.9%; ASA 2 at 36.8%; ASA 3 at 43.4%; and ASA 4 at 17.9%. Expected morbidity, according to POSSUM was 46.7%; observed morbidity was 50.5%. Morbidity ratio observed/expected was 1.08. Expected mortality, according to POSSUM = 13%, according to P-POSSUM = 4.9%, and according to O-POSSUM = 12.1%. Observed mortality was 7.8%. Mortality ratio observed/expected according to POSSUM, P-POSSUM, O-POSSUM was 0.6, 1.6, and 0.6, respectively. Morbidity results were within the confidence interval of the POSSUM estimation. Our results show lower mortality than the POSSUM and the O-POSSUM estimation (P < 0.001) and higher mortality regarding P-POSSUM estimation (P < 0.001). CONCLUSIONS: The control systems of risk allow us continuous evaluation of our results and objective comparison to other teams. Compared with the POSSUM scoring systems, our series showed quality improvement (morbidity and mortality) over time.

Continuous monitoring of adverse events: influence on the quality of care and the incidence of errors in general surgery.

BACKGROUND: This study was designed to determine the incidence of adverse events and errors in the care of surgical patients and to demonstrate that continuous prospective collection of data on adverse events can improve quality of care and reduce the number of errors. Retrospective studies find adverse events in approximately 5% of patients admitted. Prospective studies publish figures of approximately 30%. No studies to date have tried to use continuous collection of data on adverse events to reduce the incidence of errors. METHODS: Longitudinal prospective surveillance of adverse events in patients admitted to the Surgery Service during a 22-month period. Sequelae after discharge and errors during hospital stay were evaluated by peer review. RESULTS: A total of 3,807 patients were controlled: 1,177 patients presented 2,193 adverse events (30.9% of admissions); 330 adverse events due to errors were detected in 258 patients (6.9% of admissions). Thirty-four deaths were considered due to adverse events (0.89% of admissions), and in 11 cases mortality was deemed avoidable (0.29% of admissions). The incidence of adverse events remained constant during the study period, but errors decreased from 11.1% to 4.5% (P = 0.005). CONCLUSIONS: This is the first attempt to determine the prevalence of errors in surgery. Introducing systematic programs for recording adverse events can reduce error rates and promote a culture of patient safety in a General Surgery Department.