Publications by authors named "E G Medrano"

Introduction: Opioid use disorder is a chronic illness with significant morbidity and mortality. Opioid agonists, like buprenorphine, are commonly used to prevent relapse. Recent changes in buprenorphine legislation are expected to increase prescription and guidelines recommend its continuation during the perioperative period for many patients.

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Canine mammary carcinomas (CMC) are associated with major aggressive clinical behavior and high mortality. The current standard of care is based on surgical resection, without an established effective treatment scheme, highlighting the urgent need to develop novel effective therapies. Vascular endothelial growth factor (VEGF) is a key regulator of tumor angiogenesis and progression in the majority of solid cancers, including human and canine mammary carcinomas.

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Purpose Of Review: Postoperative pain continues to be one of the most common challenges following surgeries. Multimodal analgesia has been of particular focus as non-opioid alternatives have been encouraged due to concerns of the opioid epidemic. Ketamine has been an especially useful adjunct in multimodal pain regimens within the past few decades.

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Mechanosensory feedback of the internal reproductive state drives decisions about when and where to reproduce. For instance, stretch in the Drosophila reproductive tract produced by artificial distention or from accumulated eggs regulates the attraction to acetic acid to ensure optimal oviposition. How such mechanosensory feedback modulates neural circuits to coordinate reproductive behaviors is incompletely understood.

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Article Synopsis
  • The study aims to reduce last-minute cancellations of surgical procedures, which can harm efficiency and incur additional costs for hospitals as well as emotional distress for patients and families.
  • A prediction tool was developed using data from over 246,000 scheduled surgeries, identifying 29 factors that may indicate a higher risk of cancellation within 24 hours.
  • The tool showed good accuracy in predicting cancellations, allowing hospitals to target high-risk patients and improve overall surgical scheduling efficiency.
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