Comparison of the Use of Arterial Doppler Waveform Classifications in Clinical Routine to Describe Lower Limb Flow.

Doppler methods peripheral artery disease vascular medicine

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
26 Jan 2021
Historique:
received: 02 12 2020
revised: 10 01 2021
accepted: 21 01 2021
entrez: 3 2 2021
pubmed: 4 2 2021
medline: 4 2 2021
Statut: epublish

Résumé

Characterisation of arterial Doppler waveforms is a persistent problem and a source of confusion in clinical practice. Classifications have been proposed to address the problem but their efficacy in clinical practice is unknown. The aim of the present study was to compare the efficacy of the categorisation rate of Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications. This is a multicentre prospective study where 130 patients attending a vascular arterial ultrasound were enrolled and Doppler waveform acquisition was performed at the common femoral, the popliteal, and the distal arteries at both sides. Experienced vascular specialists categorized these waveforms according to the three classifications. of 1033 Doppler waveforms, 793 (76.8%), 943 (91.3%) and 1014 (98.2%) waveforms could be categorized using Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications, respectively. Differences in categorisation between classifications were significant (Chi squared test, The results of the present study suggest that the simplified Saint-Bonnet classification provides a superior categorisation rate when compared with Spronk et al. and Descotes and Cathignol classifications.

Sections du résumé

BACKGROUND BACKGROUND
Characterisation of arterial Doppler waveforms is a persistent problem and a source of confusion in clinical practice. Classifications have been proposed to address the problem but their efficacy in clinical practice is unknown. The aim of the present study was to compare the efficacy of the categorisation rate of Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications.
METHODS METHODS
This is a multicentre prospective study where 130 patients attending a vascular arterial ultrasound were enrolled and Doppler waveform acquisition was performed at the common femoral, the popliteal, and the distal arteries at both sides. Experienced vascular specialists categorized these waveforms according to the three classifications.
RESULTS RESULTS
of 1033 Doppler waveforms, 793 (76.8%), 943 (91.3%) and 1014 (98.2%) waveforms could be categorized using Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications, respectively. Differences in categorisation between classifications were significant (Chi squared test,
CONCLUSIONS CONCLUSIONS
The results of the present study suggest that the simplified Saint-Bonnet classification provides a superior categorisation rate when compared with Spronk et al. and Descotes and Cathignol classifications.

Identifiants

pubmed: 33530374
pii: jcm10030464
doi: 10.3390/jcm10030464
pmc: PMC7865484
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Antoine Guilcher (A)

Clinical Investigation Center, Univ Rennes, INSERM CIC 1414, CHU Rennes, F-35033 Rennes, France.

Damien Lanéelle (D)

Vascular Medicine Unit, CHU Caen-Normandie, F-14000 Caen, France.

Clément Hoffmann (C)

Vascular Medicine Unit, CHU Brest, F-29200 Brest, France.

Jérôme Guillaumat (J)

Vascular Medicine Unit, CHU Caen-Normandie, F-14000 Caen, France.

Joel Constans (J)

Vascular Medicine Unit, CHU Bordeaux, F-33076 Bordeaux, France.

Luc Bressollette (L)

Vascular Medicine Unit, CHU Brest, F-29200 Brest, France.

Claire Le Hello (C)

Vascular Medicine Department, CHU Nord Saint-Etienne, Campus Health and Innovations, Jean Monnet University, F-42055 Saint-Etienne, France.

Christian Boissier (C)

Vascular Medicine Department, CHU Nord Saint-Etienne, Campus Health and Innovations, Jean Monnet University, F-42055 Saint-Etienne, France.

Alessandra Bura-Rivière (A)

Vascular Medicine Unit, CHU Toulouse, F-31000 Toulouse, France.

Vincent Jaquinandi (V)

Clinical Investigation Center, Univ Rennes, INSERM CIC 1414, CHU Rennes, F-35033 Rennes, France.

Loukman Omarjee (L)

Clinical Investigation Center, Univ Rennes, INSERM CIC 1414, CHU Rennes, F-35033 Rennes, France.

Philippe Lacroix (P)

Vascular Medicine Unit, CHU Limoges, F-87000 Limoges, France.

Gilles Pernod (G)

Vascular Medicine Unit, CHU Grenoble, F-38000 Grenoble, France.

Fabrice Abbadie (F)

Vascular Medicine Unit, CH Vichy, F-03200 Vichy, France.

Marie Antoinette Sevestre (MA)

Vascular Medicine Unit, CHU Amiens, F-80054 Amiens, France.

Carine Boulon (C)

Vascular Medicine Unit, CHU Bordeaux, F-33076 Bordeaux, France.

Guillaume Mahé (G)

Clinical Investigation Center, Univ Rennes, INSERM CIC 1414, CHU Rennes, F-35033 Rennes, France.

Classifications MeSH