Evidence map›Paper›PMID 26491862›Full record

ArticleCritical care medicine2016

Population Pharmacokinetics of Fentanyl in the Critically Ill.

Leena Choi, Benjamin A Ferrell, Eduard E Vasilevskis, Pratik P Pandharipande, Rebecca Heltsley, E Wesley Ely, C Michael Stein, Timothy D Girard

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Characterizing Fentanyl Variability Using Population Pharmacokinetics in Pediatric Burn Patients.Journal of burn care & research : official publication of the American Burn Association · 2020
    Observational
  12. Article
  13. Opioid Tolerance in Critical Illness.The New England journal of medicine · 2019
    Review
  14. Article
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Leena Choi1Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN.2Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.3Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.4Center for Health Services Research, Vanderbilt University School of Medicine, Nashville, TN.5Geriatric Research, Education and Clinical Center Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN.6Division of Critical Care, Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN.7Anesthesia Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN.8Aegis Sciences Corporation, Nashville, TN.9Center for Quality Aging, Vanderbilt University School of Medicine, Nashville, TN.10Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.11Division of Rheumatology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.
Benjamin A Ferrell
Eduard E Vasilevskis
Pratik P Pandharipande
Rebecca Heltsley
E Wesley Ely
C Michael Stein
Timothy D Girard
Vanderbilt University · USVA Tennessee Valley Healthcare System · USAEgis Technologies (United States) · USGeriatric Research Education and Clinical Center · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
The MIND USA StudyR01AG035117 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ELY, E WESLEY · 2011 to 2016
$7.3M
Altering Sedation Paradigms to Improve Brain Injury and Survival in Severe SepsisR01HL111111 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PANDHARIPANDE, PRATIK · 2012 to 2017
$3.7M
The MIND ICU StudyR01AG027472 · NIA · VANDERBILT UNIVERSITY · PI ELY, E WESLEY · 2006 to 2010
$3.0M
Drug Metabolism Genotypes in Clinical PracticeR01GM109145 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STEIN, CHARLES M. · 2014 to 2018
$1.1M
Predictors of Cognitive Impairment in Survivors of Critical IllnessK23AG034257 · NIA · VANDERBILT UNIVERSITY · PI GIRARD, TIMOTHY D · 2009 to 2013
$684k
Predicting Acute Brain Dysfunction in Older Patients: A Quality Improvement ToolK23AG040157 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VASILEVSKIS, EDUARD E · 2011 to 2015
$609k
Population Pharmacokinetic and Pharmacodynamic Models in the Presence of OutliersR21AG034412 · NIA · VANDERBILT UNIVERSITY · PI CHOI, LEENA · 2011 to 2012
$365k
NCATS NIH HHS TR000445NCATS NIH HHS UL1 TR000445NHLBI NIH HHS HL111111NHLBI NIH HHS R01 HL111111NIA NIH HHS AG027472NIA NIH HHS AG034257NIA NIH HHS AG034412NIA NIH HHS AG035117NIA NIH HHS AG040157NIA NIH HHS K23 AG034257NIA NIH HHS K23 AG040157NIA NIH HHS R01 AG027472NIA NIH HHS R01 AG035117NIA NIH HHS R21 AG034412NIGMS NIH HHS GM109145NIGMS NIH HHS R01 GM109145
6 · The paper itself

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.

Indexed as

Critical IllnessAdultAgedAged, 80 and overAnalgesics, OpioidCritical CareFemaleFentanylHumansMaleMiddle AgedModels, TheoreticalProspective StudiesYoung AdultAnalgesics, OpioidFentanyl

Identifiers

PMID26491862
PMCPMC4755937
OpenAlexW2331809063

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.