ArticleCritical care medicine2016
Population Pharmacokinetics of Fentanyl in the Critically Ill.
Article in Critical care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Pharmacokinetics of Opioid Infusions in the Adult Intensive Care Unit Setting-A Systematic Review.Clinical pharmacokinetics · 2025Pooled it
- Choice of initial opioid for continuous infusions in patients receiving mechanical ventilation: a retrospective cohort study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2026Article
- Strategies for a Rational Use of Opioids in Critical Care Settings.Journal of clinical medicine · 2026Review
- Advances in pharmacokinetic-pharmacodynamic modeling for anesthesia, 1987-2024: a review.Frontiers in pharmacology · 2026Review
- Pain Management in Children Admitted to the Emergency Room: A Narrative Review.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Impact of a Multimodal Analgesia Protocol in an Intensive Care Unit: A Pre-post Cohort Study.Cureus · 2022Article
- Impact of Fentanyl Continuous Infusion Dosing Strategies for Analgosedation on Medication Usage.Hospital pharmacy · 2021Article
- Population pharmacokinetic model of subcutaneous fentanyl in older acute care patients.European journal of clinical pharmacology · 2021Article
- Towards Evidence-Based Weaning: a Mechanism-Based Pharmacometric Model to Characterize Iatrogenic Withdrawal Syndrome in Critically Ill Children.The AAPS journal · 2021Article
- Dosing of Continuous Fentanyl Infusions in Obese Children: A Population Pharmacokinetic Analysis.Journal of clinical pharmacology · 2020Article
- Characterizing Fentanyl Variability Using Population Pharmacokinetics in Pediatric Burn Patients.Journal of burn care & research : official publication of the American Burn Association · 2020Observational
- Factors Contributing to Fentanyl Pharmacokinetic Variability Among Diagnostically Diverse Critically Ill Children.Clinical pharmacokinetics · 2019Article
- Opioid Tolerance in Critical Illness.The New England journal of medicine · 2019Review
- GTS-21 attenuates loss of body mass, muscle mass, and function in rats having systemic inflammation with and without disuse atrophy.Pflugers Archiv : European journal of physiology · 2018Article
- Pharmacogenomics of Medications Commonly Used in the Intensive Care Unit.Frontiers in pharmacology · 2018Review
- Delayed awakening after cardiac arrest: prevalence and risk factors in the Parisian registry.Intensive care medicine · 2016Article
- Pain management protocol implementation and opioid consumption in critical care: an interrupted time series analysis.Revista Brasileira de terapia intensivaArticle
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo characterize fentanyl population pharmacokinetics in patients with critical illness and identify patient characteristics associated with altered fentanyl concentrations.
designProspective cohort study.
settingMedical and surgical ICUs in a large tertiary care hospital in the United States. PATIENTS: Patients with acute respiratory failure and/or shock who received fentanyl during the first 5 days of their ICU stay. MEASUREMENTS AND MAIN
resultsWe collected clinical and hourly drug administration data and measured fentanyl concentrations in plasma collected once daily for up to 5 days after enrollment. Among 337 patients, the mean duration of infusion was 58 hours at a median rate of 100 μg/hr. Using a nonlinear mixed-effects model implemented by NONMEM, we found that fentanyl pharmacokinetics were best described by a two-compartment model in which weight, severe liver disease, and congestive heart failure most affected fentanyl concentrations. For a patient population with a mean weight of 92 kg and no history of severe liver disease or congestive heart failure, the final model, which performed well in repeated 10-fold cross-validation, estimated total clearance, intercompartmental clearance (Q), and volumes of distribution for the central (V1) and peripheral compartments (V2) to be 35 L/hr (95% CI, 32-39 L/hr), 55 L/hr (95% CI, 42-68 L/hr), 203 L (95% CI, 140-266 L), and 523 L (95% CI, 428-618 L), respectively. Severity of illness was marginally associated with fentanyl pharmacokinetics but did not improve the model fit after liver and heart diseases were included.
conclusionsIn this study, fentanyl pharmacokinetics during critical illness were strongly influenced by severe liver disease, congestive heart failure, and weight, factors that should be considered when dosing fentanyl in the ICU. Future studies are needed to determine if data-driven fentanyl dosing algorithms can improve outcomes for ICU patients.
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