Publications by authors named "Amanda Venable"

Length of stay is an important metric in healthcare systems, primarily because it reflects the cost of care provided. In the United States, as in many countries, inpatient hospital stays are significantly more expensive than outpatient care across all healthcare conditions,1 so earlier discharge and transition to outpatient care is crucial to help control the ever-increasing cost of healthcare. In burn patients, length of stay has traditionally been estimated at 1 day per 1% total body surface area of burn.

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Donor site wound management is critical in split-thickness skin graft surgeries. These sites typically recover in 7 to 14 days due to the dermal-imbedded keratinocytes that promote skin regeneration. An ideal donor site dressing can help to mitigate pain, reduce infection risk, promote hemostasis, and accelerate healing times.

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Sepsis is a life-threatening disease that affects millions of people every year. Rapid detection of sepsis assists clinicians to initiate timely antibiotic therapy and to reduce mortality. At the same time, accurate point-of-care detection is needed to reduce unnecessary use of antibiotics.

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Sepsis is a highly prevalent syndrome in the United States. The use of cell surface markers, as an effective tool to diagnosis sepsis, has been widely investigated. However, the study of the combination of multiple biomarkers to achieve higher diagnosis accuracy is rare.

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Sepsis is a leading cause of death worldwide. In this work, a multiparameter affinity microchip was developed for faster sepsis diagnosis, which can reduce the mortality caused by late validation. The separation device captured cells expressing CD25, CD64, and CD69 into discrete antibody regions.

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A microfluidic affinity separation device was developed for the detection of sepsis in critical care patients. An affinity capture method was developed to capture cells based on changes in CD64 expression in a single, simple microfluidic chip for sepsis detection. Both sepsis patient samples and a laboratory CD64+ expression model were used to validate the microfluidic assay.

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As monitoring requirements for healthcare-acquired infection increase, an efficient and accurate method for surveillance has been sought. The authors evaluated the accuracy of electronic surveillance in multiple intensive care unit settings. Data from 500 intensive care unit patients were reviewed to determine the presence of central line-associated blood stream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI).

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