Evidence map›Paper›PMID 23519598›Full record

Trial reportClinical pharmacokinetics2013

Quantifying the effect of covariates on concentrations and effects of steady-state phenprocoumon using a population pharmacokinetic/pharmacodynamic model.

Khaled Abduljalil, Simone Lazar, Michael Natanzon, Weidong Wu, Gregor Zadoyan, Benedict Steffens, Victoria Kohl, Klaus Mörike, Dorota Tomalik-Scharte, Julia Stingl and 4 more

Abstract readClinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in Clinical pharmacokinetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

14 authors at 6 institutions in 1 country.

Khaled AbduljalilDepartment of Pharmacology, Clinical Pharmacology Unit, University Hospital, University of Cologne, Gleueler Straße 24, 50931 Cologne, Germany.
Simone Lazar
Michael Natanzon
Weidong Wu
Gregor Zadoyan
Benedict Steffens
Victoria Kohl
Klaus Mörike
Dorota Tomalik-Scharte
Julia Stingl
Matthias Schwab
Job Harenberg
Christoph Gleiter
Uwe Fuhr
University Hospital Cologne · DEUniversity Children's Hospital Tübingen · DEHeidelberg University · DEUniversity of Cologne · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe oral anticoagulant phenprocoumon, similar to other vitamin K antagonists, is characterized by pronounced interindividual variability in the doses needed to achieve the desired therapeutic effect. Previous studies assessed the effect of genetic and demographic covariates on empirical dose requirements of phenprocoumon to enable individualized dose prediction. The aim of the present study was to quantify major sources of interindividual variability separately on the pharmacokinetics and pharmacodynamics of phenprocoumon using a population pharmacokinetic-pharmacodynamic model.

methodsA single steady-state blood sample was collected from 278 patients and assayed by liquid chromatography-tandem mass spectrometry for phenprocoumon and its metabolites. Genotyping was performed for variants of the cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex, subunit 1 (VKORC1) genes. Effects were quantified by international normalized ratio (INR). Data were analyzed simultaneously using NONMEM VII.

resultsThe model confirmed CYP2C9 and VKORC1 variants as the major predictors of variability in phenprocoumon concentrations and effects, together with body weight, age, comedication with CYP3A modifiers (i.e. inhibitors or inducers) and presence of atrial fibrillation. These covariates explained 50.0 % of the observed variability in the model parameters. Phenprocoumon clearance fractions mediated per CYP2C9 allele were 13.4, 9.5 and 5.7 mL/h for the 1, 2 and 3 variants, respectively. An additional clearance fraction of 5.3 mL/h was independent of CYP2C9 activity. Homozygous VKORC1 wild-type carriers were estimated to have a 2.13-fold higher phenprocoumon exposure requirement than homozygous 1173 C>T carriers to achieve the same effect on INR.

conclusionsThe model provides a deeper insight in the separate pharmacokinetic and pharmacodynamic parts of phenprocoumon action. Thus, it provides important information for individualized dose prediction, with the option to include further covariates not studied here with known effects on individual pharmacokinetic or pharmacodynamic processes.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overAnticoagulantsAryl Hydrocarbon HydroxylasesAtrial FibrillationChromatography, LiquidCross-Sectional StudiesCytochrome P-450 CYP2C9Dose-Response Relationship, DrugFemaleGenotypeHumansInternational Normalized RatioMaleAnticoagulantsAryl Hydrocarbon HydroxylasesCYP2C9 protein, humanCytochrome P-450 CYP2C9Mixed Function OxygenasesPhenprocoumonVitamin K Epoxide ReductasesVKORC1 protein, human

Identifiers

PMID23519598
OpenAlexW2090481520

What OpenQuestion holds

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Registered trials

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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.