Renal effects of anesthetic doses of morphine (2 mg./kg.) administered intravenously (I.V.) were determined in 15 mongrel dogs before and after addition of 50 percent nitrous oxide (N2O). Morphine significantly increased urine osmolarity and decreased urine output, free-water clearance, and arterial blood pressure, but did not affect inulin or para-aminohippurate (PAH) clearances. Addition of N2O did not significantly change arterial blood pressure and inulin clearance but did decrease urine osmolarity and osmolar and PAH clearances. These data demonstrate that, in contrast to man, anesthetic doses of morphine have significant antidiuretic properties in the dog.
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http://dx.doi.org/10.1213/00000539-197505000-00025 | DOI Listing |
Food Chem Toxicol
January 2025
Department of Medical Biochemistry, Faculty of Medicine, Aksaray University, Aksaray, TURKEY.
Aim: Tramadol (TRM), a widely used opioid analgesic for moderate to severe pain, is associated with liver and kidney toxicity at high doses or prolonged use. This study investigates the protective role of rosmarinic acid (RA), a natural phenolic compound known for its antioxidant, anti-inflammatory, and cell-protective properties, against TRM-induced hepatorenal toxicity.
Methods: Thirty-five male Wistar rats were divided into five groups: Control, TRM, RA, TRM+RA25, and TRM+RA50.
J Cardiovasc Pharmacol
January 2025
Department of Anesthesiology, Jining No. 1 People's Hospital, Jining, Shandong, China.
In this study, we compared the effects of various doses of dexmedetomidine on the incidence of atrial fibrillation following cardiac surgery in adults. 224 adult patients who underwent elective cardiac surgery were randomly assigned to two groups. The DEX0.
View Article and Find Full Text PDFCurr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Pharm Stat
January 2025
Department of Anesthesia, University of Iowa, Iowa City, Iowa, USA.
With contemporary anesthetic drugs, the efficacy of general anesthesia is assured. Health-economic and clinical objectives are related to reductions in the variability in dosing, variability in recovery, etc. Consequently, meta-analyses for anesthesiology research would benefit from quantification of ratios of standard deviations of log-normally distributed variables (e.
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