The effect of remifentanil on respiratory variability, evaluated with dynamic modeling.
Opioid drugs disrupt signaling in the brain stem respiratory network affecting respiratory rhythm. We evaluated the influence of a steady-state infusion of a model opioid, remifentanil, on respiratory variability during spontaneous respiration in a group of 11 healthy human volunteers. We used dynam...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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2009
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| _version_ | 1826267014478430208 |
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| author | Mitsis, G Governo, R Rogers, R Pattinson, K |
| author_facet | Mitsis, G Governo, R Rogers, R Pattinson, K |
| author_sort | Mitsis, G |
| collection | OXFORD |
| description | Opioid drugs disrupt signaling in the brain stem respiratory network affecting respiratory rhythm. We evaluated the influence of a steady-state infusion of a model opioid, remifentanil, on respiratory variability during spontaneous respiration in a group of 11 healthy human volunteers. We used dynamic linear and nonlinear models to examine the effects of remifentanil on both directions of the ventilatory loop, i.e., on the influence of natural variations in end-tidal carbon dioxide (Pet(CO(2))) on ventilatory variability, which was assessed by tidal volume (Vt) and breath-to-breath ventilation (i.e., the ratio of tidal volume over total breath time Vt/Ttot), and vice versa. Breath-by-breath recordings of expired CO(2) and respiration were made during a target-controlled infusion of remifentanil for 15 min at estimated effect site (i.e., brain tissue) concentrations of 0, 0.7, 1.1, and 1.5 ng/ml, respectively. Remifentanil caused a profound increase in the duration of expiration. The obtained models revealed a decrease in the strength of the dynamic effect of Pet(CO(2)) variability on Vt (the "controller" part of the ventilatory loop) and a more pronounced increase in the effect of Vt variability on Pet(CO(2)) (the "plant" part of the loop). Nonlinear models explained these dynamic interrelationships better than linear models. Our approach allows detailed investigation of drug effects in the resting state at the systems level using noninvasive and minimally perturbing experimental protocols, which can closely represent real-life clinical situations. |
| first_indexed | 2024-03-06T20:47:42Z |
| format | Journal article |
| id | oxford-uuid:36796c4e-ddb3-4c5f-a370-963078099257 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:47:42Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:36796c4e-ddb3-4c5f-a370-9630780992572022-03-26T13:38:12ZThe effect of remifentanil on respiratory variability, evaluated with dynamic modeling.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:36796c4e-ddb3-4c5f-a370-963078099257EnglishSymplectic Elements at Oxford2009Mitsis, GGoverno, RRogers, RPattinson, KOpioid drugs disrupt signaling in the brain stem respiratory network affecting respiratory rhythm. We evaluated the influence of a steady-state infusion of a model opioid, remifentanil, on respiratory variability during spontaneous respiration in a group of 11 healthy human volunteers. We used dynamic linear and nonlinear models to examine the effects of remifentanil on both directions of the ventilatory loop, i.e., on the influence of natural variations in end-tidal carbon dioxide (Pet(CO(2))) on ventilatory variability, which was assessed by tidal volume (Vt) and breath-to-breath ventilation (i.e., the ratio of tidal volume over total breath time Vt/Ttot), and vice versa. Breath-by-breath recordings of expired CO(2) and respiration were made during a target-controlled infusion of remifentanil for 15 min at estimated effect site (i.e., brain tissue) concentrations of 0, 0.7, 1.1, and 1.5 ng/ml, respectively. Remifentanil caused a profound increase in the duration of expiration. The obtained models revealed a decrease in the strength of the dynamic effect of Pet(CO(2)) variability on Vt (the "controller" part of the ventilatory loop) and a more pronounced increase in the effect of Vt variability on Pet(CO(2)) (the "plant" part of the loop). Nonlinear models explained these dynamic interrelationships better than linear models. Our approach allows detailed investigation of drug effects in the resting state at the systems level using noninvasive and minimally perturbing experimental protocols, which can closely represent real-life clinical situations. |
| spellingShingle | Mitsis, G Governo, R Rogers, R Pattinson, K The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title | The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title_full | The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title_fullStr | The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title_full_unstemmed | The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title_short | The effect of remifentanil on respiratory variability, evaluated with dynamic modeling. |
| title_sort | effect of remifentanil on respiratory variability evaluated with dynamic modeling |
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