Evidence map›Paper›PMID 35552966›Full record

ArticlePharmaceutical research2022

Development and Use of an Ex-Vivo In-Vivo Correlation to Predict Antiepileptic Drug Clearance in Patients Undergoing Continuous Renal Replacement Therapy.

Shamir N Kalaria, Michael Armahizer, Paul McCarthy, Neeraj Badjatia, Jogarao V Gobburu, Mathangi Gopalakrishnan

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2022. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Shamir N KalariaCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA.
Michael ArmahizerDepartment of Pharmacy Services, University of Maryland Medical Center, Baltimore, Maryland, USA.
Paul McCarthyDepartment of Cardiovascular and Thoracic Surgery, Division of Critical Care, West Virginia University School of Medicine, Morgantown, West Virginia, USA.
Neeraj BadjatiaDepartment of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jogarao V GobburuCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA.
Mathangi GopalakrishnanCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA. mgopalakrishnan@rx.umaryland.edu.ORCID http://orcid.org/0000-0003-2881-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesResults from previous ex-vivo continuous renal replacement therapy (CRRT) models have successfully demonstrated similar extraction coefficients (EC) identified from in-vivo clinical trials. The objectives of this study are to develop an ex-vivo in-vivo correlation (EVIVC) model to predict drug clearance for commonly used antiepileptics and to evaluate similarity in drug extraction across different CRRT modalities to extrapolate dosing recommendations.

methodsLevetiracetam, lacosamide, and phenytoin CRRT clearance was evaluated using the Prismaflex CRRT system and M150 hemodiafilters using an albumin containing normal saline (ALB-NS) vehicle with 3 different albumin concentrations (2 g/dL, 3 g/dL, and 4 g/dL) and a human plasma vehicle at 3 different effluent flow rates (1 L/hr, 2 L/hr, and 3 L/hr). Blood and effluent/dialysate concentrations were collected after circuit priming. ECs were calculated for each drug, modality, vehicle, and experimental arm combination.

resultsThe calculated average EC for levetiracetam and lacosamide was approximated to the fraction unbound from plasma protein. Human plasma and ALB-NS vehicles demonstrated adequate prediction of in-vivo CRRT clearance. Geometric mean ratios indicated similarity in extraction coefficients when comparing between hemofiltration and hemodiafiltration modalities and between filtration and dialysis modalities at effluent flow rates ≤ 2L/hr. Evaluation of phenytoin provided inconsistent findings with regards to extraction coefficient similarity across different CRRT modalities.

conclusionThe findings indicate that an ex-vivo study can be used as a surrogate to predict in-vivo levetiracetam and lacosamide clearance in patients receiving CRRT.

Indexed as

Continuous Renal Replacement TherapyAlbuminsAnticonvulsantsCritical IllnessDrug Elimination RoutesHumansLacosamideLevetiracetamPhenytoinAlbuminsAnticonvulsantsLacosamideLevetiracetamPhenytoinantiepilepticscontinuous renal replacement therapycritical careivivc correlationnephrology

Identifiers

What OpenQuestion holds

Textmetadata
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.