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In this paper, we design, prototype and evaluate the performance of a novel IoT system with an intelligent edge. Our proposed design spans a modular three-tier IoT system architecture including the edge, gateway and cloud tiers. The proposed system leverages the local data acquired at the edge to build a distributed machine learning framework for local predictions and real-time responses at the edge. In addition, it proposes a more comprehensive model at the gateway for more centralized decision making, leveraging the data collected from multiple edges devices. One of the novel features of our system is minimizing the data transfer from the edge to the gateway tier. This is attained through intelligent data filtering at the edge to focus on the key events that provide the highest information gain to the gateway machine learning model. This, in turn, reduces the amount of noise that can impact the gateway model as well as minimizes the inter-tier communications overhead. To test our proposed system, we implement a prototype spanning the first two-tiers, and show through experiments how our system is capable of achieving a comparable performance to traditional centralized machine learning frameworks, while reducing the inter-tier communications overhead by up to 50%.

The objective of this study was to determine the incidence and interobserver agreement of individual CT findings as well as the bowel injury prediction score (BIPS) in surgically proven bowel injury after blunt abdominal trauma. This HIPAA-compliant retrospective study was IRB approved and consent was waived. All patients 14 years or older who sustained surgically proven bowel injury after blunt abdominal trauma between 1/1/2004 and 6/30/2015 were included. Admission trauma MDCT scans were independently interpreted by two abdominal fellowship-trained radiologists who recorded the following CT findings: intraperitoneal fluid, mesenteric hematoma/fat stranding, bowel wall thickening/hematoma, active intravenous contrast extravasation, free intraperitoneal air, bowel wall discontinuity, and focal bowel hypoenhancement. Subsequently, the electronic medical records of the included patients, admission abdominal physical exam results, admission white blood cell count, and findings at exploratory laparotomy of the included patients were recorded. Thirty-three patients met the inclusion criteria. The incidence and interobserver agreement of the CT findings were as follows: intraperitoneal fluid 93.9 %, kappa = 0.784 (good); mesenteric hematoma/fat stranding 84.8 %, kappa = 0.718 (good); bowel wall thickening/hematoma 42.4 %, kappa = 0.491 (moderate); active IV contrast extravasation 36.3 %, kappa = 1.00 (perfect); free intraperitoneal air 21.2 %, kappa = 0.904 (very good), bowel wall discontinuity 6.1 %, kappa = 1.00 (perfect); and focal bowel hypoenhancement 6.1 %, kappa = 0.468 (moderate). An absence of the specified CT findings was encountered in 9.1 % with surgically proven bowel injuries (kappa = 1.00, perfect). In our study, 9/16 patients or 56.3 % had a bowel injury prediction score (BIPS) of 2 or more as defined by McNutt et al. (J Trauma Acute Care Surg 78(1):105-111, 2014). The presence of intraperitoneal fluid and mesenteric hematoma/fat stranding are the most common CT findings in bowel injuries proven at laparotomy. A small percentage of patients have no abnormal CT findings. This grading system did not prove to be useful in our study likely due to our inherently small patient population; however, the use of BIPS deserves further investigation as it may help in identifying blunt bowel and mesenteric injury patients with often subtle or nonspecific CT findings.

CONTEXT: There are no evidence-based programs to train physicians to facilitate shared decision-making based on incapacitated intensive care unit (ICU) patients’ values and preferences. OBJECTIVES: To develop a high-fidelity simulation to fill this gap. METHODS: Case development involved 6 steps: 1) drafting a case about an elderly patient receiving prolonged mechanical ventilation; 2) engaging an expert advisory board to optimize case content; 3) revising the case based on advisory board input; 4) training actors to portray the case patient’s daughter; 5) obtaining physician feedback on the simulation; 6) revising the case based on their feedback. We conducted a cross-sectional pilot study with 50 physicians to assess feasibility and acceptability, defined a priori as an enrollment rate > 40 physicians/year, study procedures 95% actor adherence to standardization rules, and high physician ratings of realism and acceptability. RESULTS: Advisory panel feedback yielded two modifications: 1) refocusing the case on decision-making about tracheostomy and percutaneous gastrostomy; 2) making the patient’s values more authentic. Physician feedback yielded two additional modifications: 1) reducing how readily the actor divulged the patient’s values; 2) making her more emotional. All 50 physicians enrolled in the pilot study over 11 months completed study procedures in

Reason for withdrawal from publication The protocol has been withdrawn as the methods are out of date. To view the published versions of this article, please click the 'Other versions' tab.

Background Multiple myeloma (MM) is a haematological malignancy associated with kidney injury resulting from cast nephropathy, which can be caused by monoclonal free light chains (FLC). It has been demonstrated that reduction of FLC can lead to a higher proportion of patients recovering renal function with a better outcome, especially if extended high cut-off haemodialysis (HCO-HD) combined with chemotherapy is used. Patients and Methods In this study, four cases of MM nephropathy were treated with HCO-HD and chemotherapy at a single institution during the period from August 2009 to August 2011. All of the patients presented with acute renal failure and high serum FLC. All patients underwent a bone marrow biopsy to confirm the diagnosis of MM, according to the WHO criteria. Three patients had de-novo MM and one patient had relapsed light chain myeloma disease. All patients underwent HCO-HD concomitantly with specific myeloma therapy once the diagnosis or relapse of MM was established. Results After a median follow up of 26 months, (range, 13-36) our data showed that all patients had a significant decrease in serum FLC through HCO-HD, proving the effectiveness of HCO-HD in managing MM. De-novo MM patients restored their renal function and achieved low-level FLC early on the treatment and become dialysis-independent. One patient with relapsed myeloma remained dialysis dependant. Conclusion Our study suggests that if myeloma nephropathy associated with light-chain disease, HCO-HD should be initiated as early as possible. At the same time a specific MM treatment should be initiated to gain control of the disease and salvage the kidneys in order to achieve dialysis-independency. Further trials to confirm our results are warranted. Key Words: Multiple myeloma, renal failure, High cut-off haemodialysis, chemotherapy, outcome.