Objectives/aims: To investigate whether melatonin would be an alternative drug to clonidine for performance of steal induction.
Background: Distress during induction might have a negative impact on postoperative behavior. A steal induction is a technique for smooth anesthesia induction, and clonidine has been the primary agent for this purpose. There are conflicting results regarding the efficacy of melatonin for premedication, but its sleep inducing properties have been shown in children.
Methods: Pediatric patients ASA I and II were randomly assigned to receive either melatonin 0.3 mg·kg(-1) or clonidine 4 μg·kg(-1) orally. Primary outcome was the percentage of successful steal induction, while secondary outcomes were onset of sleep, overall quality of mask induction, and adverse events at emergence from anesthesia.
Results: A total of 87 patients were included for analysis with a median age of 33 months (range, 12-71) and median weight of 14 kg (range, 8-26). A successful steal induction was performed in 88.4% of group C and 75% of group M (P > 0.05). Onset of sleep in these patients occurred after a median time of 45 min (range 10-60) in group C and 35 min (range 15-60) in group M (P > 0.05). Children not falling asleep after melatonin received the premedication at a significantly earlier time point compared to those falling asleep (P = 0.001).
Conclusions: Melatonin was effective for steal induction in 75% of children compared to 88% of children who had clonidine. Melatonin resulted less effective when administered early in the morning.
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http://dx.doi.org/10.1111/pan.12105 | DOI Listing |
J Knee Surg
January 2025
Department of Orthopaedic Surgery, HCA JFK/University of Miami, Atlantis, Florida.
The Women's National Basketball Association (WNBA) has grown in popularity since its induction in 1996. Furthermore, it is well known that female athletes are at an increased risk of anterior cruciate ligament (ACL) tears compared with their male counterparts. The purpose was to examine the player positions and player movements during basketball games and practices that contribute to ACL tears in WNBA players.
View Article and Find Full Text PDFJ Reconstr Microsurg
October 2024
Division of Reconstructive Microsurgery, Department of Plastic Surgery, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
Background: Nerve transfers from one common donor nerve to recipient nerves with multiple target branches can yield slower and unpredictable recovery in the target nerves. Our hypothesis is that steal phenomenon exists when multiple nerve neurotization comes from one donor nerve.
Methods: In 30 Sprague-Dawley rats, the left ulnar nerve (UN) was selected as the donor nerve, and the musculocutaneous nerve (MCN) and median nerve (MN) as the recipient target nerves.
Int J Mol Sci
June 2023
Department of Biology, San Francisco State University, San Francisco, CA 94112, USA.
We explored the genome of the strain, Esol, symbiotic with the plant-gall-inducing fly with the goal of determining if Esol contributes to gall induction by its insect host. Gall induction by insects has been hypothesized to involve the secretion of the phytohormones cytokinin and auxin and/or proteinaceous effectors to stimulate cell division and growth in the host plant. We sequenced the metagenome of and Esol and assembled and annotated the genome of Esol.
View Article and Find Full Text PDFJVS Vasc Sci
October 2022
Division of Vascular Surgery and Endovascular Therapy, University of Florida, Gainesville, FL.
Objective: Hand disability after hemodialysis access surgery has been common yet has remained poorly understood. Arteriovenous fistula (AVF) hemodynamic perturbations have not reliably correlated with the observed measures of hand function. Chronic kidney disease (CKD) is known to precipitate myopathy; however, the interactive influences of renal insufficiency and ischemia on limb outcomes have remained unknown.
View Article and Find Full Text PDFProc Conf Assoc Comput Linguist Meet
May 2022
Pharmaceutical Care and Health Systems, University of Minnesota.
Deep learning (DL) techniques involving fine-tuning large numbers of model parameters have delivered impressive performance on the task of discriminating between language produced by cognitively healthy individuals, and those with Alzheimer's disease (AD). However, questions remain about their ability to generalize beyond the small reference sets that are publicly available for research. As an alternative to fitting model parameters directly, we propose a novel method by which a Transformer DL model (GPT-2) pre-trained on general English text is paired with an artificially degraded version of itself (GPT-D), to compute the ratio between these two models' on language from cognitively healthy and impaired individuals.
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