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Background: Airway management in Duchenne patients can be challenging. We present a case of an anticipated difficult airway in a 24-year-old Duchenne patient that was managed by planning different suitable strategies based on the unanticipated difficult airway algorithm of the Difficult Airway Society (DAS). Case presentation: The patient initially presented with appendicitis, requiring a laparoscopic appendectomy within 6 h. Due to the underlying condition and a known difficult airway, we anticipated potential airway problems and successfully managed the “can ventilate but cannot intubate” situation using the algorithm. The difficult airway was attributed to reduced mandibular mobility, limited inclination or reclination, a large tongue, prominent incisors, and a posteriorly positioned epiglottis. Despite thorough preparation and team briefing, we experienced three failed intubation attempts. Considering limited nighttime resources, the urgency of the surgery, the need for a tube for laparoscopy, and the risk of exacerbating airway issues, we made the decision to awaken the patient and wait for a second attempt after the epiglottis swelling had subsided. We used reversible, short-acting agents for induction, enabling us to continue with the algorithm within the allotted timeframe. In a second stage, we successfully performed fiberoptic-guided intubation via a supraglottic airway device using the Aintree intubation catheter, utilizing more favorable resources. Conclusions: For a patient with Duchenne muscular dystrophy and a difficult airway, advanced expertise is critical. Detailed anesthesia planning, clear team communication, and the use of reversible, short-acting agents are crucial. Adherence to the Difficult Airway Society guidelines is essential for safe airway management.

This review provides a comprehensive and up-to-date overview of point-of-care (POC) devices most commonly used for coagulation analyses in the acute settings. Fast and reliable assessment of hemostasis is essential for the management of trauma and other bleeding patients. Routine coagulation assays are not designed to visualize the process of clot formation, and their results are obtained only after 30–90 m due to the requirements of sample preparation and the analytical process. POC devices such as viscoelastic coagulation tests, platelet function tests, blood gas analysis and other coagulometers provide new options for the assessment of hemostasis, and are important tools for an individualized, goal-directed, and factor-based substitution therapy. We give a detailed overview of the related tests, their characteristics and clinical implications. This review emphasizes the evident advantages of the speed and predictive power of POC clot measurement in the context of a goal-directed and algorithm-based therapy to improve the patient’s outcome. Interpretation of viscoelastic tests is facilitated by a new visualization technology.

Visual Patient technology is a situation awareness-oriented visualization technology that translates numerical and waveform patient monitoring data into a new user-centered visual language. Vital sign values are converted into colors, shapes, and rhythmic movements—a language humans can easily perceive and interpret—on a patient avatar model in real time. In this review, we summarize the current state of the research on the Visual Patient, including the technology, its history, and its scientific context. We also provide a summary of our primary research and a brief overview of research work on similar user-centered visualizations in medicine. In several computer-based studies under various experimental conditions, Visual Patient transferred more information per unit time, increased perceived diagnostic certainty, and lowered perceived workload. Eye tracking showed the technology worked because of the way it synthesizes and transforms vital sign information into new and logical forms corresponding to the real phenomena. The technology could be particularly useful for improving situation awareness in settings with high cognitive demand or when users must make quick decisions. This comprehensive review of Visual Patient research is the foundation for an evaluation of the technology in clinical applications, starting with a high-fidelity simulation study in early 2020.