Evidence map›Paper›PMID 40452264›Full record

ArticleJournal of veterinary internal medicine

Twenty-Four-Hour Electrocardiographic Monitoring for Assessment of Cardiac Arrhythmias in Healthy and Hospitalized Goats.

Alyssa Sullivan, Darcy B Adin, Sara B Speziok, Dana Haimovitz, Todd C Holbrook, Daniela Luethy

Abstract read
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Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alyssa SullivanDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Darcy B AdinDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-0972-0365
Sara B SpeziokDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Dana HaimovitzDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Todd C HolbrookDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0009-0005-4329-033X
Daniela LuethyDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-1693-2147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous 24-h electrocardiographic (ECG) recording is a well-established method for the detection of intermittent arrhythmias in veterinary medicine. The clinical utility of 24-h ECG for the detection of intermittent arrhythmias in hospitalized goats has not been reported. HYPOTHESIS/

objectives(1) Determine the clinical feasibility of continuous 24-h ECG monitoring in goats; (2) Report the frequency of ventricular arrhythmias in healthy and hospitalized medically ill goats. ANIMALS: Eleven healthy goats, 20 hospitalized medically ill goats.

methodsProspective clinical study. Continuous 24-h ECG recordings were performed. Electrocardiograms were analyzed for rhythm diagnosis. The number of ventricular premature depolarizations (VPD) was compared between groups using the Wilcoxon rank sum test.

resultsThe ECG monitors were well-tolerated in 30/31 goats, with no adverse effects. Twenty-eight recordings were of sufficient quality for analysis with a median readable time of 23 h (range, 15-24 h). Eleven goats had ventricular arrhythmias (4 healthy, 7 medically ill), consisting of single VPDs only in 7 goats (3 healthy, 4 medically ill), VPDs and ventricular couplets in 4 goats (1 healthy, 3 medically ill), and ventricular rhythm consistent with accelerated idioventricular rhythm (AIVR) or ventricular tachycardia in 2 goats (2 medically ill). A significant difference in the number of VPDs in healthy goats (median, 0; range, 0-9) and medically ill goats was not identified (median, 0; range, 0-201; p = 0.66), but a larger sample size is required. CONCLUSION AND CLINICAL IMPORTANCE: Most goats tolerated 24-h ECG monitoring well, although a few recordings were of poor quality. Ventricular arrhythmias were seen in healthy and medically ill goats.

Indexed as

Arrhythmias, CardiacElectrocardiographyElectrocardiography, AmbulatoryGoat DiseasesAnimalsFemaleGoatsMaleProspective StudiescaprinecardiologyheartHolter

Identifiers

PMID40452264
PMCPMC12127569

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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.