16 research outputs found

    Outcome After Surgical Stabilization of Rib Fractures Versus Nonoperative Treatment in Patients With Multiple Rib Fractures and Moderate to Severe Traumatic Brain Injury (CWIS-TBI)

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    BACKGROUND Outcomes after surgical stabilization of rib fractures (SSRF) have not been studied in patients with multiple rib fractures and traumatic brain injury (TBI). We hypothesized that SSRF, as compared with nonoperative management, is associated with favorable outcomes in patients with TBI. METHODS A multicenter, retrospective cohort study was performed in patients with rib fractures and TBI between January 2012 and July 2019. Patients who underwent SSRF were compared to those managed nonoperatively. The primary outcome was mechanical ventilation-free days. Secondary outcomes were intensive care unit length of stay and hospital length of stay, tracheostomy, occurrence of complications, neurologic outcome, and mortality. Patients were further stratified into moderate (GCS score, 9–12) and severe (GCS score, ≤8) TBI. RESULTS The study cohort consisted of 456 patients of which 111 (24.3%) underwent SSRF. The SSRF was performed at a median of 3 days, and SSRF-related complication rate was 3.6%. In multivariable analyses, there was no difference in mechanical ventilation-free days between the SSRF and nonoperative groups. The odds of developing pneumonia (odds ratio [OR], 0.59; 95% confidence interval [95% CI], 0.38–0.98; p = 0.043) and 30-day mortality (OR, 0.32; 95% CI, 0.11–0.91; p = 0.032) were significantly lower in the SSRF group. Patients with moderate TBI had similar outcome in both groups. In patients with severe TBI, the odds of 30-day mortality was significantly lower after SSRF (OR, 0.19; 95% CI, 0.04–0.88; p = 0.034). CONCLUSION In patients with multiple rib fractures and TBI, the mechanical ventilation-free days did not differ between the two treatment groups. In addition, SSRF was associated with a significantly lower risk of pneumonia and 30-day mortality. In patients with moderate TBI, outcome was similar. In patients with severe TBI a lower 30-day mortality was observed. There was a low SSRF-related complication risk. These data suggest a potential role for SSRF in select patients with TBI. LEVEL OF EVIDENCE Therapeutic, level IV

    Framework of a machine tool configurator for energy efficiency

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    The energy consumption behavior of installed machine tools and manufacturing systems are nowadays well evaluated and the field of action for comprehensive improvements and optimization activities is open. Despite the possible improvement potential of installed machine tools, its implementation is limited due to constrains such as high investment costs with unknown amortisation time for the machine tool reconfiguration. The planned configuration of components tailored to the machine tool's target use is seen as a promising way to address the expected energetic performance in the configuration phase using detailed multichannel measurements and knowledge of past improvement activities. A modular configuration approach, based on multichannel measurements, in order to improve the energy efficiency of the machine tool, including all auxiliaries, is not present yet. In conjunction with a case study, this paper introduces a concept for a machine tool configurator to integrate the requirements for the energy use during the use phase of the machine tool and its components. Beyond this, the paper provides information for TCO calculations and investment decision. The integrated approach enables machine tool builders to optimize the machine tool configuration, select components in order to increase energy efficiency and achieve cost savings for the machine tool user, in line and validated with the machine tool builder's business case.ISSN:2212-827

    From Strategic Goals to focused Eco-efficiency Improvement in Production: Bridging the gap using Environmental Value Stream Mapping

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    Energetic machine tool modeling approach for energy consumption prediction

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    A fundamental approach for data acquisition on machine tools as enabler for analytical Industrie 4.0 applications

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    Decreasing ICT-costs propel connectivity and storage solutions for data generated, harvested and analyzed in machine tools. To acquire the necessary reliable, comprehensive and structured data for analytical applications, data from multiple sources must be acquired and combined. Many approaches for data acquisition either fail to cover all relevant data or cannot be put into action due to limited access on numerical controls. The following paper demonstrates the use of a multi-channel measurement application of a machine tool including its auxiliaries. The given approach was applied and verified on prototype machines. As a result, the application in current and future use-cases is discussed.ISSN:2212-827
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