Evidence map›Paper›PMID 33354765›Full record

Observational studyClinical pharmacology and therapeutics2021

Real-World Infliximab Pharmacokinetic Study Informs an Electronic Health Record-Embedded Dashboard to Guide Precision Dosing in Children with Crohn's Disease.

Ye Xiong, Tomoyuki Mizuno, Ruben Colman, Jeffrey Hyams, Joshua D Noe, Brendan Boyle, Yi-Ting Tsai, Min Dong, Kimberly Jackson, Nieko Punt and 4 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Guideline
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  8. Rising Role of Artificial Intelligence in Clinical Pharmacometrics and Model-Informed Precision Dosing in Pediatrics.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
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  15. The Coming of Age of Model-Informed Precision Therapeutics for Children.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
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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

14 authors at 5 institutions in 1 country.

Ye XiongDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Tomoyuki MizunoDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Ruben ColmanDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Jeffrey HyamsConnecticut Children's Medical Center, Hartford, Connecticut, USA.
Joshua D NoeMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Brendan BoyleNationwide Children's Hospital, Columbus, Ohio, USA.
Yi-Ting TsaiDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Min DongDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Kimberly JacksonDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Nieko PuntMedimatics, Maastricht, The Netherlands.
Michael J RosenDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Lee A DensonDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Alexander A VinksDivision of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Phillip MinarDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USConnecticut Children's Medical Center · USMedical College of Wisconsin · USNationwide Children's Hospital · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Theresa Alenghat · 2007 to 2026
$24.4M
PEDIATRIC GASTROENTEROLOGY AND NUTRITION TRAINING GRANTT32DK007727 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Phillip P Minar · 1995 to 2026
$11.3M
T32 Cincinnati Pediatric Clinical Pharmacology Training ProgramT32HD069054 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI TRACY A GLAUSER, Sonya C Tang Girdwood · 2011 to 2026
$3.0M
Therapeutic Monitoring and Targeting of Neutrophil Activation in Pediatric IBDK23DK105229 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI MINAR, PHILLIP P · 2015 to 2018
$734k
Pharmacokinetic Evaluation to Optimize Infliximab Monotherapy with Personalized Pharmacodynamic BiomarkersR03DK118314 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI MINAR, PHILLIP P · 2018 to 2019
$239k
NICHD NIH HHS T32 HD069054NIDDK NIH HHS K23 DK105229NIDDK NIH HHS P30 DK078392NIDDK NIH HHS R03 DK118314NIDDK NIH HHS T32 DK007727
6 · The paper itself

Abstract

Standard-of-care infliximab dosing regimens were developed prior to the routine use of therapeutic drug monitoring and identification of target concentrations. Not surprisingly, subtherapeutic infliximab concentrations in pediatric Crohn's disease (CD) are common. The primary aim was to conduct a real-world pharmacokinetic (PK) evaluation to discover blood biomarkers of rapid clearance, identify exposure targets, and a secondary aim to translate PK modeling to the clinic. In a multicenter observational study, 671 peak and trough infliximab concentrations from 78 patients with CD were analyzed with a drug-tolerant assay (Esoterix; LabCorp, Calabasas, CA). Individual area under the curve (AUC) estimates were generated as a measure of drug exposure over time. Population PK modeling (nonlinear mixed-effect modeling) identified serum albumin, antibody to infliximab, erythrocyte sedimentation rate (ESR), and neutrophil CD64 as biomarkers for drug clearance. Week 14 and week 52 biochemical remitters (fecal calprotectin < 250 µg/g) had higher infliximab exposure (AUC) throughout induction. The optimal infliximab AUC target during induction for week 14 biochemical remission was 79,348 µg*h/mL (area under the receiver operating characteristic curve (AUROC) 0.77, [0.63-0.90], 85.7% sensitive, and 64.3% specific) with those exceeding the AUC target more likely to achieve a surgery-free week 52 biochemical remission (OR 4.3, [1.2-14.6]). Pretreatment predictors for subtherapeutic week 14 AUC included neutrophil CD64 > 6 (OR 4.5, [1.4-17.8]), ESR > 30 mm/h (OR 3.8, [1.4-11]), age < 10 years old (OR 4.2, [1.2-20]), and weight < 30 kg (OR 6.6, [2.1-25]). We created a decision-support PK dashboard with an iterative process and embedded the modeling program within the electronic health record. Model-informed precision dosing guided by real-world PKs is now available at the bedside in real-time.

Indexed as

AntibodiesArea Under CurveBiomarkersBlood SedimentationChildCrohn DiseaseElectronic Health RecordsGastrointestinal AgentsHumansInfliximabNeutrophilsReceptors, IgGSerum AlbuminAntibodiesBiomarkersGastrointestinal AgentsInfliximabReceptors, IgGSerum Albumin

Identifiers

PMID33354765
PMCPMC8159860
OpenAlexW3113400896

What OpenQuestion holds

Textmetadata
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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.