[A man with swollen abdomen, abdominal pain and nausea]. / Een man met een bolle buik, buikpijn en misselijkheid.

A 45-year-old man presented with acute intestinal obstruction, due to congenital peritoneal encapsulation. This rare malformation leads to an accessory peritoneal sac around all or part of the small bowel. Torsion of this sac can lead to acute bowel obstruction and therefore ischaemia. In this case, detorsion and adhesiolysis resulted in a positive outcome.

Early CT scanning in the emergency department in patients with penetrating injuries: does it affect outcome?

BACKGROUND: To be a level I trauma center in the Netherlands a computed tomography (CT) scanner in the emergency department (ED) is considered desirable, as it is presumed that this optimizes the diagnostic process and that therapy can be directed based on these findings. Aim of this study was to assess the effects of implementing a CT scanner in the ED on outcomes in patients with penetrating injuries. METHODS: In this retrospective descriptive study, patients with penetrating injuries (shot and/or stab wounds), presented between 2000 and 2014 were analysed using the hospital's electronic database, and data from the West Netherlands trauma registry and the financial department. RESULTS: 405 patients were included: performing a CT scan upon arrival increased significantly from 26.7 to 67.0% (p = 0.00) after implementation of a CT scanner in the ED, with the mean cost of a CT being 96.85 euros. Overall mortality decreased from 6.9 to 3.7%, although not statistically significant. Intensive care unit admission (ICU-admission) and median hospital length of stay (H-LOS) decreased from 30.9 to 24.5% resp. 3.2 to 1.8 days (p ≤ 0.05). Overall mortality, adjusted for injury severity score (ISS), revised trauma score (RTS), and types of injuries, did not change significantly. CONCLUSION: Patients with penetrating injuries more often received a CT scan on admission after implementation of a CT scanner in the ED. Early CT scanning is useful since it significantly reduces ICU-admissions and decreases H-LOS. It is a cheap and non-invasive diagnostic tool with significant clinical impact, resulting in directed treatment, and improvement of outcomes.

Sample entropy predicts lifesaving interventions in trauma patients with normal vital signs.

INTRODUCTION: Heart rate complexity, commonly described as a "new vital sign," has shown promise in predicting injury severity, but its use in clinical practice is not yet widely adopted. We previously demonstrated the ability of this noninvasive technology to predict lifesaving interventions (LSIs) in trauma patients. This study was conducted to prospectively evaluate the utility of real-time, automated, noninvasive, instantaneous sample entropy (SampEn) analysis to predict the need for an LSI in a trauma alert population presenting with normal vital signs. METHODS: Prospective enrollment of patients who met criteria for trauma team activation and presented with normal vital signs was conducted at a level I trauma center. High-fidelity electrocardiogram recording was used to calculate SampEn and SD of the normal-to-normal R-R interval (SDNN) continuously in real time for 2 hours with a portable, handheld device. Patients who received an LSI were compared to patients without any intervention (non-LSI). Multivariable analysis was performed to control for differences between the groups. Treating clinicians were blinded to results. RESULTS: Of 129 patients enrolled, 38 (29%) received 136 LSIs within 24 hours of hospital arrival. Initial systolic blood pressure was similar in both groups. Lifesaving intervention patients had a lower Glasgow Coma Scale. The mean SampEn on presentation was 0.7 (0.4-1.2) in the LSI group compared to 1.5 (1.1-2.0) in the non-LSI group (P < .0001). The area under the curve with initial SampEn alone was 0.73 (95% confidence interval [CI], 0.64-0.81) and increased to 0.93 (95% CI, 0.89-0.98) after adding sedation to the model. Sample entropy of less than 0.8 yields sensitivity, specificity, negative predictive value, and positive predictive value of 58%, 86%, 82%, and 65%, respectively, with an overall accuracy of 76% for predicting an LSI. SD of the normal-to-normal R-R interval had no predictive value. CONCLUSIONS: In trauma patients with normal presenting vital signs, decreased SampEn is an independent predictor of the need for LSI. Real-time SampEn analysis may be a useful adjunct to standard vital signs monitoring. Adoption of real-time, instantaneous SampEn monitoring for trauma patients, especially in resource-constrained environments, should be considered.