Publications by authors named "F Wappler"

Burn trauma induces hypermetabolism and alters thermoregulation resulting in elevated body temperature. Because patients with burns are prone to heat loss and hypothermia, maintaining physiologic body temperature is important. However, optimal target temperature is widely unknown because thermoregulation of burn trauma has mainly been studied in the previous century, when treatment concepts differed from current era.

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Trauma triggers complex physiological responses with primary and secondary effects vital to understanding and managing trauma impact. "Damage Control" (DC), a concept adapted from naval practices, refers to abbreviated initial surgical care focused on controlling bleeding and contamination, critical for the survival of severely compromised patients. This impacts anaesthesia procedures and intensive care.

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Article Synopsis
  • Scientists looked at health data from very sick patients with a condition called sepsis to see if machine learning can help predict who might survive better than using regular methods.
  • They tested two machine learning methods using data from a big group of patients and found that these methods were much better at predicting survival than the standard way of checking changes in scores.
  • The results showed that using daily scores from the first week could really help doctors know who might be in trouble, which could lead to better patient care in the future.
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Sepsis is a common life-threatening disease caused by dysregulated immune response and metabolic acidosis which lead to organ failure. An abnormal expression of aquaporins plays an important role in organ failure. Additionally, genetic variants in aquaporins impact on the outcome in sepsis.

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