Articles: analgesics.
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Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to predict the risk of prolonged opioid use in opioid-naive patients after lumbar spine surgery. However, its utility in a distinct country remains unknown. ⋯ The SORG-MLA retained good discriminative abilities and overall performances in a geologically and medicolegally different region. It was suitable for predicting patients in risk of prolonged postoperative opioid use in Taiwan.
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This study aimed to evaluate the anti-inflammatory and analgesic properties of the methanolic extract of Opuntia ficus indica L. in small animal (rats and mice model). The current treatment for febrile conditions often involves the use of non-steroidal anti-inflammatory drugs (NSAIDs), which can have adverse effects, particularly gastrointestinal ulcers. Therefore, there is a growing need to explore natural alternatives with fewer side effects. ⋯ The findings suggest that Opuntia ficus indica L. extract holds promise as an effective and reasonably priced natural remedy for pain and inflammation in rats and mice model. The comprehensive chemical composition analysis provided valuable insights into the presence of various bioactive compounds, which may contribute to the observed therapeutic effects. Further research and exploration of the extract's mechanisms of action are warranted to fully understand its potential in small animal healthcare.