کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7270899 | 1473242 | 2009 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Intravenous morphine titration in immediate postoperative pain management: Population kinetic-pharmacodynamic and logistic regression analysis
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب سلولی و مولکولی
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چکیده انگلیسی
Morphine is widely used to treat moderate to severe postoperative pain. The goal of this study was to characterize the pharmacodynamics of morphine-induced analgesia during intravenous morphine titration in the immediate postoperative period and to evaluate sedation occurrence according to morphine dose in this setting. Two hundred and twenty-eight patients undergoing major orthopedic surgery were included. They received intravenous (iv) morphine titration in the post-anesthesia care unit as boluses of 2 or 3Â mg, every 5Â min until analgesia was established. Pain was assessed using visual analogue scale (VAS) scores. Morphine analgesia-time data were analysed via a kinetic-pharmacodynamic population approach using non-linear mixed-effect modeling NONMEM. Sedation was assessed by the Ramsay score with scores >2 representing clinically significant sedation. The relationship between sedation occurrence and morphine dose was modeled using logistic regression. Morphine pharmacodynamic was best described by an indirect response model with an inhibitory function affecting pain onset, and it showed that decreasing delay between extubation and titration, decreasing initial VAS and intra-operative non-steroidal anti-inflammatory drug resulted in increased morphine potency. Logistic regression showed that a morphine dose of 20Â mg was associated with a high likelihood of sedation occurrence. Our study supported the possibility of modeling the time course of a complex response in the absence of pharmacokinetic data. The current data should lead to a more rational management of the immediate postoperative pain.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: PAIN® - Volume 144, Issues 1â2, July 2009, Pages 139-146
Journal: PAIN® - Volume 144, Issues 1â2, July 2009, Pages 139-146
نویسندگان
Hala Abou hammoud, Nicolas Simon, Saik Urien, Bruno Riou, Philippe Lechat, Frédéric Aubrun,