Evidence map›Paper›PMID 39359392›Full record

ArticleFrontiers in veterinary science2024

Case report: Manual carbon hemoperfusion for the treatment of meloxicam toxicity in a cat and suspected ibuprofen toxicity in a dog.

Lauren E Haire, Amber D Vitalo, Ronald P Gonçalves, Travis M Lanaux

Abstract readCase Reports
In one paragraph

Article in Frontiers in veterinary science, 2024. 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

4 authors.

Lauren E HaireDepartment of Small Animal Clinical Sciences, University of Florida, Gainesville, FL, United States.
Amber D VitaloDepartment of Small Animal Clinical Sciences, University of Florida, Gainesville, FL, United States.
Ronald P GonçalvesDepartment of Small Animal Clinical Sciences, University of Florida, Gainesville, FL, United States.
Travis M LanauxDepartment of Small Animal Clinical Sciences, University of Florida, Gainesville, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracorporeal blood purification (ECBP) has become a popular treatment option for non-steroidal anti-inflammatory drug (NSAID) toxicity in small animals. However, challenges arise when using ECBP for small dogs and cats because the priming volume required by most machine-based ECBP platforms might be excessive, leading to cardiovascular instability if a blood prime is not used. This report describes the successful use of manual carbon hemoperfusion (MCHP) to reduce plasma meloxicam levels in a cat following an inadvertent overdose and its use in a dog following suspected ibuprofen ingestion. In both animals, MCHP reduced the circuit volume needed for ECBP from 125 mL with a machine-based therapeutic plasma exchange or 104 mL with an in-series carbon hemoperfusion on an intermittent hemodialysis platform to just 40-50 mL. In the cat, MCHP reduced plasma meloxicam levels by 44%, and in both animals, the use of MCHP in these pets was well-tolerated and safe. Due to pre-existing anemia, the cat required a blood transfusion but the dog did not. MCHP is technically simple and can be performed at any hospital with access to carbon filters and blood bank resources. This technique may represent a reasonable alternative to treat NSAID toxicities in animals that are too small for conventional extracorporeal decontamination methods using either machine-based platforms without using a blood prime or in locations where these machines are unavailable.

Indexed as

catsdogsextracorporeal blood purificationhemoperfusionnon-steroidal anti-inflammatory drug

Identifiers

PMID39359392
PMCPMC11445753

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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.