Three-dimensional bladder ultrasound to measure daily urinary bladder volume in hospitalized dogs.


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:
Sep 2021
Historique:
revised: 10 07 2021
received: 21 12 2020
accepted: 15 07 2021
pubmed: 1 8 2021
medline: 1 10 2021
entrez: 31 7 2021
Statut: ppublish

Résumé

Urinary bladder volume (UBV) and urine residual volume (URV) provide important information for hospitalized dogs and might allow recognition of urine retention. Using 3-dimensional (3D) ultrasound to monitor daily URV is a safe and effective way to recognize urinary retention. Twenty-five client-owned hospitalized dogs. Prospective, observational study. UBV and URV were measured using 3D ultrasound daily at approximately the same time. UBV was measured, the dog was taken for a 5-minute controlled leash walk, then URV was estimated. Concurrent use of opioids, anesthetics, and fluids administered IV were recorded. Daily URVs were >0.4 mL/kg in 22 of 25 dogs on at least 1 day of hospitalization. Seventeen of 25 dogs had an abnormal URV at the time of discharge. Of 18 dogs that were anesthetized while hospitalized, 16 had a URV >0.4 mL/kg with a mean of 4.34 mL/kg (range, 0.5-13.4 mL/kg). No statistical difference in degree of URV was found based on the use of anesthesia, administration of fluids IV, or opioids. Weight was significantly associated with URV; dogs <10 kg had a higher URV per unit mass than dogs >10 kg (P = .001). Use of a 3D ultrasound device to measure daily UBV and URV in hospitalized dogs provides a safe estimate of bladder volume in real-time. Monitoring daily URV might help in early identification of patients that are retaining urine, thereby preventing potential adverse effects of urethral catheterization or prolonged urinary retention.

Sections du résumé

BACKGROUND BACKGROUND
Urinary bladder volume (UBV) and urine residual volume (URV) provide important information for hospitalized dogs and might allow recognition of urine retention.
OBJECTIVE OBJECTIVE
Using 3-dimensional (3D) ultrasound to monitor daily URV is a safe and effective way to recognize urinary retention.
ANIMALS METHODS
Twenty-five client-owned hospitalized dogs.
METHODS METHODS
Prospective, observational study. UBV and URV were measured using 3D ultrasound daily at approximately the same time. UBV was measured, the dog was taken for a 5-minute controlled leash walk, then URV was estimated. Concurrent use of opioids, anesthetics, and fluids administered IV were recorded.
RESULTS RESULTS
Daily URVs were >0.4 mL/kg in 22 of 25 dogs on at least 1 day of hospitalization. Seventeen of 25 dogs had an abnormal URV at the time of discharge. Of 18 dogs that were anesthetized while hospitalized, 16 had a URV >0.4 mL/kg with a mean of 4.34 mL/kg (range, 0.5-13.4 mL/kg). No statistical difference in degree of URV was found based on the use of anesthesia, administration of fluids IV, or opioids. Weight was significantly associated with URV; dogs <10 kg had a higher URV per unit mass than dogs >10 kg (P = .001).
CONCLUSIONS AND CLINICAL IMPORTANCE CONCLUSIONS
Use of a 3D ultrasound device to measure daily UBV and URV in hospitalized dogs provides a safe estimate of bladder volume in real-time. Monitoring daily URV might help in early identification of patients that are retaining urine, thereby preventing potential adverse effects of urethral catheterization or prolonged urinary retention.

Identifiants

pubmed: 34331488
doi: 10.1111/jvim.16232
pmc: PMC8478037
doi:

Types de publication

Journal Article Observational Study, Veterinary

Langues

eng

Sous-ensembles de citation

IM

Pagination

2256-2262

Informations de copyright

© 2021 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.

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Auteurs

Edward J Vasquez (EJ)

Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA.

Allison Kendall (A)

Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA.

Sarah Musulin (S)

Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA.

Shelly L Vaden (SL)

Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA.

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Classifications MeSH