Comparisons of our results with the outcomes in the series of patients in the literature with one-stage surgery indicate that "one-stage surgery" is the more suitable but, however, with two conditions: a sufficient command of the technique so as to minimise complications and a strict patient selection, with the Hartmann's procedure being retained for patients with high anaesthesia risk.

Acinar cell carcinoma is an uncommon tumour, representing only 1% to 2% of all exocrine pancreatic tumours. Pancreatic-type acinar cell carcinoma can occur in other organs, including the stomach, but it is extraordinarily rare. We report a case of a 51-year-old woman with a pancreatic-type pure acinar carcinoma of the stomach coexisting with a large cell B lymphoma synchronously, and a literature review of gastric carcinomas with pancreatic cell differentiation. At present there is a preoperative underdiagnosis of these tumours that could be minimized by including this entity in the differential diagnosis of gastric cancer and by performing immunohistochemical analysis with neuroendocrine markers and exocrine pancreatic enzymes.

Results of a survey on peri-operative nutritional support in pancreatic and biliary surgery in Spain Resultados de una encuesta sobre el soporte nutricional perioperatorio en la cirugía pancreática y biliar en España

Background In spite of the global implementation of standardized surgical safety checklists and evidence-based practices, general surgery remains associated with a high residual risk of preventable perioperative complications and adverse events. This study was designed to validate the hypothesis that a new “Trigger Tool” represents a sensitive predictor of adverse events in general surgery. Methods An observational multicenter validation study was performed among 31 hospitals in Spain. The previously described “Trigger Tool” based on 40 specific triggers was applied to validate the predictive power of predicting adverse events in the perioperative care of surgical patients. A prediction model was used by means of a binary logistic regression analysis. Results The prevalence of adverse events among a total of 1,132 surgical cases included in this study was 31.53%. The “Trigger Tool” had a sensitivity and specificity of 86.27% and 79.55% respectively for predicting these adverse events. A total of 12 selected triggers of overall 40 triggers were identified for optimizing the predictive power of the “Trigger Tool”. Conclusions The “Trigger Tool” has a high predictive capacity for predicting adverse events in surgical procedures. We recommend a revision of the original 40 triggers to 12 selected triggers to optimize the predictive power of this tool, which will have to be validated in future studies.