Language

English

Publication Date

3-25-2025

Journal

BMC Anesthesiology

DOI

10.1186/s12871-025-03010-4

PMID

40133843

PMCID

PMC11934507

PubMedCentral® Posted Date

3-25-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Background: Carotid peak velocity variation (ΔVpeakCar) is an alternative to aortic peak velocity variation (ΔVpeakAo) and has been used in the pediatric population. Children's physiology and anatomy are heterogeneous throughout their growth. For this reason, the predictive value of ΔVpeakCar as a surrogate of ΔVpeakAo can vary at different ages. We hypothesize that the ability of ΔVpeakCar as a surrogate of ΔVpeakAo changes throughout childhood.

Aim: Analyze the concordance and the tracking ability of ΔVpeakCar and the ΔVpeakAo at different stages of development.

Methods: Patients from 0 to 12 years were included. Three groups were defined: under 12 months (G1), between 12 and 60 months (G2), and over 60 months (G3). After anesthesia induction and mechanical ventilation, maximal and minimal aortic and carotid peak flow were measured. ΔVpeakAo and ΔVpeakCar were calculated. Pearson test and simple linear regression were performed. Bland-Altman analysis was performed to determine concordance. 4-quadrant analysis was used, followed by polar analysis of the vectors, to complement the concordance analysis and determine the tracking ability of ΔVpeakCar to surrogate ΔVpeakAo.

Results: Sixty-seven patients were enrolled. 22 (32.4%) patients in G1, 21 (31.3%) in G2 and 24 (35.8%) in G3. The determination coefficient (r) between ΔVpeakAo and ΔVpeakCar in G1 was 0.44 (p < 0.001) with a slope value of 0.61 (SE = 0.11; 95% CI:0.3-0.91). In G2, r2 = 0.56 (p < 0.001) with a slope value of 0.59 (SE = 0.14; 95% CI:0.35-0.82); and in G3, r2 = 0.85 (p < 0.001) with a slope value of 1.11 (SE = 0.10; 95% CI:0.91-1.31). Bland-Altman analysis showed to G1 a mean bias of -0.37 (LOA - 7.87 to 7.53), to G2 -0.07 (LOA - 7.37 to 7.23) and G3 0.55 (-3.81 to 4.91). Concordance rates were 100% in G3, 95% in G2, and 93% in G1.

Conclusions: ΔVpeakCar showed good correlation and tracking ability with ΔVpeakAo in schoolchildren. In younger children, it was not reliable enough.

Keywords

Humans, Child, Preschool, Infant, Child, Male, Female, Aorta, Blood Flow Velocity, Carotid Arteries, Infant, Newborn, Paediatric anaesthesia, Doppler ultrasonography, Fluid therapy, Haemodynamic monitoring

Published Open-Access

yes

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.