BACKGROUND: Few studies address the dynamic effect of opioids on respiration. Models with intact feedback control of carbon dioxide on ventilation (non-steady-state models) that correctly incorporate the complex interaction among drug concentration, end-tidal partial pressure of carbon dioxide concentration, and ventilation yield reliable descriptions and predictions of the behavior of opioids. The authors measured the effect of remifentanil on respiration and developed a model of remifentanil-induced respiratory depression. METHODS:Ten male healthy volunteers received remifentanil infusions with different infusion speeds (target concentrations: 4-9 ng/ml; at infusion rates: 0.17-9 ng x ml x min) while awake and at the background of low-dose propofol. The data were analyzed with a nonlinear model consisting of two additive linear parts, one describing the depressant effect of remifentanil and the other describing the stimulatory effect of carbon dioxide on ventilation. RESULTS: The model adequately described the data including the occurrence of apnea. Most important model parameters were as follows: C50 for respiratory depression 1.6 +/- 0.03 ng/ml, gain of the respiratory controller (G) 0.42 - 0.1 l x min x Torr, and remifentanil blood effect site equilibration half-life (t(1/2)ke0) 0.53 +/- 0.2 min. Propofol caused a 20-50% reduction of C50 and G but had no effect on t(1/2)ke0. Apnea occurred during propofol infusion only. A simulation study revealed an increase in apnea duration at infusion speeds of 2.5-0.5 ng x ml x min followed by a reduction. At an infusion speed of < or = 0.31 ng x ml x min, no apnea was seen. CONCLUSIONS: The effect of varying remifentanil infusions with and without a background of low-dose propofol on ventilation and end-tidal partial pressure of carbon dioxide concentration was described successfully using a non-steady-state model of the ventilatory control system. The model allows meaningful simulations and predictions.
RCT Entities:
BACKGROUND: Few studies address the dynamic effect of opioids on respiration. Models with intact feedback control of carbon dioxide on ventilation (non-steady-state models) that correctly incorporate the complex interaction among drug concentration, end-tidal partial pressure of carbon dioxide concentration, and ventilation yield reliable descriptions and predictions of the behavior of opioids. The authors measured the effect of remifentanil on respiration and developed a model of remifentanil-induced respiratory depression. METHODS: Ten male healthy volunteers received remifentanil infusions with different infusion speeds (target concentrations: 4-9 ng/ml; at infusion rates: 0.17-9 ng x ml x min) while awake and at the background of low-dose propofol. The data were analyzed with a nonlinear model consisting of two additive linear parts, one describing the depressant effect of remifentanil and the other describing the stimulatory effect of carbon dioxide on ventilation. RESULTS: The model adequately described the data including the occurrence of apnea. Most important model parameters were as follows: C50 for respiratory depression 1.6 +/- 0.03 ng/ml, gain of the respiratory controller (G) 0.42 - 0.1 l x min x Torr, and remifentanil blood effect site equilibration half-life (t(1/2)ke0) 0.53 +/- 0.2 min. Propofol caused a 20-50% reduction of C50 and G but had no effect on t(1/2)ke0. Apnea occurred during propofol infusion only. A simulation study revealed an increase in apnea duration at infusion speeds of 2.5-0.5 ng x ml x min followed by a reduction. At an infusion speed of < or = 0.31 ng x ml x min, no apnea was seen. CONCLUSIONS: The effect of varying remifentanil infusions with and without a background of low-dose propofol on ventilation and end-tidal partial pressure of carbon dioxide concentration was described successfully using a non-steady-state model of the ventilatory control system. The model allows meaningful simulations and predictions.
Authors: Qing-Tao Meng; Chen Cao; Hui-Min Liu; Zhong-Yuan Xia; Wei Li; Ling-Hua Tang; Rong Chen; Meng Jiang; Yang Wu; Yan Leng; Chris C Lee Journal: Exp Ther Med Date: 2016-06-24 Impact factor: 2.447
Authors: Ludivine Chalumeau-Lemoine; Annabelle Stoclin; Valérie Billard; Agnès Laplanche; Bruno Raynard; François Blot Journal: Intensive Care Med Date: 2012-09-28 Impact factor: 17.440
Authors: Ashish K Khanna; Sergio D Bergese; Carla R Jungquist; Hiroshi Morimatsu; Shoichi Uezono; Simon Lee; Lian Kah Ti; Richard D Urman; Robert McIntyre; Carlos Tornero; Albert Dahan; Leif Saager; Toby N Weingarten; Maria Wittmann; Dennis Auckley; Luca Brazzi; Morgan Le Guen; Roy Soto; Frank Schramm; Sabry Ayad; Roop Kaw; Paola Di Stefano; Daniel I Sessler; Alberto Uribe; Vanessa Moll; Susan J Dempsey; Wolfgang Buhre; Frank J Overdyk Journal: Anesth Analg Date: 2020-10 Impact factor: 6.627