Evidence map›Paper›PMID 25225917›Full record

ArticleTherapeutic drug monitoring2014

Predictive performance of a gentamicin population pharmacokinetic model in neonates receiving full-body hypothermia.

Mario R Sampson, Adam Frymoyer, Benjamin Rattray, C Michael Cotten, P Brian Smith, Edmund Capparelli, Sonia L Bonifacio, Michael Cohen-Wolkowiez

Abstract readMulticenter Study
In one paragraph

Article in Therapeutic drug monitoring, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mario R Sampson*Duke Clinical Research Institute, Durham; †Department of Pharmacotherapy and Experiment Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC; ‡Department of Pediatrics, Stanford University, Palo Alto, CA; §Department of Pediatrics, Duke University Medical Center, Durham, NC; ¶Schools of Medicine and Pharmacy, University of California San Diego, La Jolla; and ‖Department of Pediatrics, University of California, San Francisco.
Adam Frymoyer
Benjamin Rattray
C Michael Cotten
P Brian Smith
Edmund Capparelli
Sonia L Bonifacio
Michael Cohen-Wolkowiez

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
CLINICAL, PHARMACOLOGY, DRUG ACTION &PHARMACOKINETICST32GM007546 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Radojka Savic · 1985 to 2026
$8.9M
UNC-Duke Collaborative Clinical Pharmacology Postdoctoral Training Program-Evaluation SupplementT32GM086330 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KIM L.R. BROUWER, Daniel Gonzalez · 2011 to 2026
$8.5M
TRAINING & OUTREACH COREU54HD071600 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRADLEY, JOHN S · 2011 to 2015
$3.6M
Gastrin-Releasing Peptide and Bronchopulmonary DysplasiaR01HL105702 · NHLBI · DUKE UNIVERSITY · PI COTTEN, CHARLES MICHAEL, DAVIS, STEPHANIE DUGGINS · 2011 to 2015
$2.8M
Early Biomarkers in Neonatal Brain InjuryK23NS082500 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BONIFACIO, SONIA L · 2013 to 2017
$977k
Clinical Practice Data to Aid Narrow Therapeutic Index Drug ClassificationU01FD004858 · FDA · DUKE UNIVERSITY · PI COHEN-WOLKOWIEZ, MICHAEL · 2013 to 2014
$497k
Pharmacokinetics and Pharmacodynamics of Antibiotics in Premature InfantsK23HD064814 · NICHD · DUKE UNIVERSITY · PI COHEN-WOLKOWIEZ, MICHAEL · 2010 to 2013
$474k
FDA HHS 1U01FD004858-01FDA HHS U01 FD004858NCATS NIH HHS UL1 TR001117NCATS NIH HHS UL1TR001117NHLBI NIH HHS R01 HL105702NICHD NIH HHS 1K23HD064814NICHD NIH HHS K23 HD064814NICHD NIH HHS U54 HD071600NICHD NIH HHS U54 HD071600-01NIGMS NIH HHS 1T32GM86330NIGMS NIH HHS T32 GM007546NIGMS NIH HHS T32GM07546NIGMS NIH HHS T32 GM086330NINDS NIH HHS 1K23NS082500-01A1NINDS NIH HHS K23 NS082500
6 · The paper itself

Abstract

backgroundPopulation pharmacokinetic (popPK) models derived from small pharmacokinetics (PK) studies in neonates are often underpowered to detect clinically important characteristics that drive dosing. External validation of such models is crucial. In this study, the predictive performance of a gentamicin popPK model in neonates receiving hypothermia was evaluated.

methodsA previously published gentamicin popPK model was developed in neonates with hypoxic ischemic encephalopathy undergoing hypothermia using a retrospective single-institution (University of California-San Francisco) data set. The predictive performance of this model was evaluated in an external retrospective data set from the University of California-San Francisco (validation A) and another from Duke University (validation B). Both institutions used the same hypothermia protocol and collected similar clinical and PK data. Gentamicin dosing and samples were collected per routine care. Predictive performance was evaluated by quantifying the accuracy and precision of model predictions and using simulation-based diagnostics to detect bias in predictions.

resultsForty-one neonates (n = 18 validation A; n = 23 validation B) with median (range) gestational age of 40 weeks (33-42) and birth weight of 3.3 kg (1.9-4.6) and 76 samples (55% troughs, 33% and 28% drawn at 24 and 36 hours after dose, respectively) were analyzed. The model adequately predicted gentamicin concentrations from the same institution (validation A; median average fold error = 1.1 and numerical prediction distribution error P > 0.05) but underpredicted concentrations from the outside institution (validation B; median average fold error = 0.6 and numerical prediction distribution error P < 0.05).

conclusionsThe model demonstrated adequate predictive performance for an external data set in the same institution but not from an outside institution. Larger sample sizes, use of data from multiple institutions, and external evaluation in development of popPK models in neonates may improve generalizability of dosing recommendations arising from single-institution studies.

Indexed as

Models, BiologicalAnti-Bacterial AgentsFemaleGentamicinsHumansHypothermia, InducedInfant, NewbornMaleReproducibility of ResultsRetrospective StudiesAnti-Bacterial AgentsGentamicins

Identifiers

PMID25225917
PMCPMC4166612

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.