Comparison of smartphone-based and standard base-apex electrocardiography in healthy dairy cows.


Journal

Journal of veterinary internal medicine
ISSN: 1939-1676
Titre abrégé: J Vet Intern Med
Pays: United States
ID NLM: 8708660

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 16 05 2018
accepted: 16 11 2018
pubmed: 29 12 2018
medline: 30 4 2019
entrez: 29 12 2018
Statut: ppublish

Résumé

There is good diagnostic accuracy of smartphone-based ECG in the evaluation of heart rate (HR), heart rhythm, and ECG values for humans, horses, dogs, and cats. Assess feasibility and reliability of a smartphone ECG device to evaluate HR expressed as beats per minute and ECG values in cows. Fifty-five healthy Holstein Friesian cows. Prospective observational study. A standard base-apex ECG was acquired for 60 seconds in each cow. A smartphone ECG tracing was recorded simultaneously using a single-lead bipolar ECG recorder. All ECGs were reviewed by 1 blinded investigator. The following ECG variables were assessed: HR, P wave duration, PR interval, QRS complex and QT interval (milliseconds), P wave, and QRS complex polarity. Agreement between standard and smartphone ECG was evaluated by Cohen's k test and the Bland-Altman test. Smartphone ECG tracings were interpretable in 89% of the recordings. Minimal differences of no clinical relevance were found between standard and smartphone ECG tracings regarding HR and duration of ECG waves and interval. Good agreement found in the evaluation of QRS complex polarity (85%) but not for P wave polarity (k = 0.006). Artifacts were rare but of significantly higher frequency in smartphone ECG compared to standard ECG tracings (22% versus 0%; P = .005). Good quality single-lead ECG tracings can be recorded by smartphone device in healthy cows. Smartphone tracings are reliable for evaluation of HR and selective ECG variables. Smartphone ECG can represent an additional tool for ECG screening in cows.

Sections du résumé

BACKGROUND BACKGROUND
There is good diagnostic accuracy of smartphone-based ECG in the evaluation of heart rate (HR), heart rhythm, and ECG values for humans, horses, dogs, and cats.
OBJECTIVES OBJECTIVE
Assess feasibility and reliability of a smartphone ECG device to evaluate HR expressed as beats per minute and ECG values in cows.
ANIMALS METHODS
Fifty-five healthy Holstein Friesian cows.
METHODS METHODS
Prospective observational study. A standard base-apex ECG was acquired for 60 seconds in each cow. A smartphone ECG tracing was recorded simultaneously using a single-lead bipolar ECG recorder. All ECGs were reviewed by 1 blinded investigator. The following ECG variables were assessed: HR, P wave duration, PR interval, QRS complex and QT interval (milliseconds), P wave, and QRS complex polarity. Agreement between standard and smartphone ECG was evaluated by Cohen's k test and the Bland-Altman test.
RESULTS RESULTS
Smartphone ECG tracings were interpretable in 89% of the recordings. Minimal differences of no clinical relevance were found between standard and smartphone ECG tracings regarding HR and duration of ECG waves and interval. Good agreement found in the evaluation of QRS complex polarity (85%) but not for P wave polarity (k = 0.006). Artifacts were rare but of significantly higher frequency in smartphone ECG compared to standard ECG tracings (22% versus 0%; P = .005).
CONCLUSIONS AND CLINICAL IMPORTANCE CONCLUSIONS
Good quality single-lead ECG tracings can be recorded by smartphone device in healthy cows. Smartphone tracings are reliable for evaluation of HR and selective ECG variables. Smartphone ECG can represent an additional tool for ECG screening in cows.

Identifiants

pubmed: 30592089
doi: 10.1111/jvim.15396
pmc: PMC6430901
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

981-986

Informations de copyright

© 2018 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

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Auteurs

Francesca Bonelli (F)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Tommaso Vezzosi (T)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Mireille Meylan (M)

The Clinic for Ruminants, Vetsuisse-Faculty, University of Bern, Bern, Switzerland.

Irene Nocera (I)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Vincenzo Ferrulli (V)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Carlotta Buralli (C)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Valentina Meucci (V)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

Rosalba Tognetti (R)

Department of Veterinary Sciences, University of Pisa, Pisa, Italy.

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Classifications MeSH