Evidence map›Paper›PMID 33557261›Full record

ArticleAntibiotics (Basel, Switzerland)2021

The Glomerular Filtration Rate Estimators in the Pharmacokinetic Modelling in Acute Kidney Injury: An Observational Study.

Silvijus Abramavicius, Vaidotas Galaune, Agile Tunaityte, Astra Vitkauskiene, Gintautas Gumbrevicius, Aurelija Radzeviciene, Romaldas Maciulaitis

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Silvijus AbramaviciusLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.ORCID 0000-0002-9183-7783
Vaidotas GalauneLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.
Agile TunaityteLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.
Astra VitkauskieneDepartment of Laboratory Medicine, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.
Gintautas GumbreviciusLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.
Aurelija RadzevicieneLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.ORCID 0000-0003-1144-9770
Romaldas MaciulaitisLaboratory of Preclinical Drug, Investigation Institute of Cardiology, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The glomerular filtration rate (GFR), according to which the drug dose for patients with chronic kidney disease (CKD) is adjusted, is computed with estimators (eGFR) that are developed specifically for CKD. These particular types of estimators are also used in population pharmacokinetic (pop PK) modelling in drug development. Similar approaches without scientific validation have been proposed for patients with acute kidney injury (AKI), yet it is uncertain which specific eGFR should be used for drug dosing or in pop PK models in patients with AKI. In our study, we included 34 patients with AKI and vancomycin (VCM) treatment, and we built both individual PK and pop PK (non-linear mixed-effects, one-compartment) models to see which eGFR estimator is the best covariate. In these models different eGFRs (Cockcroft-Gault, MDRD, CKD-EPI 2009, Jelliffe and Jelliffe, Chen et al., and Yashiro et al. 2013) were used. We included six additional patients to validate the final pop PK model. All eGFRs underrate the true renal clearance in the AKI, so we created pop PK models for VCM dosing in AKI with all eGFRs, to discover that the most accurate model was the one with the Cockcroft-Gault estimator. Since the eGFRs underestimate the true renal clearance in AKI, they are inaccurate for clinical drug dosing decisions, with the exception of the Cockcroft-Gault one, which is appropriate for the pop PK models intended for drug development purposes in AKI.

Indexed as

acute kidney injurycreatinine clearanceestimationglomerular filtration rate

Identifiers

PMID33557261
PMCPMC7915939
OpenAlexW3127293440

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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.