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The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction

OBJECTIVE: To establish the relationship between pulse wave transit time (PWTT) before anaesthesia induction and blood pressure variability (BPV) during anaesthesia induction. METHODS: This prospective observational cohort study enrolled consecutive patients that underwent elective surgery. Invasive...

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Autores principales: Hu, Guoqiang, Chen, Minjuan, Wang, Xiaodan, Chen, Lingyang, Wang, Weijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647267/
https://www.ncbi.nlm.nih.gov/pubmed/34846923
http://dx.doi.org/10.1177/03000605211058380
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author Hu, Guoqiang
Chen, Minjuan
Wang, Xiaodan
Chen, Lingyang
Wang, Weijian
author_facet Hu, Guoqiang
Chen, Minjuan
Wang, Xiaodan
Chen, Lingyang
Wang, Weijian
author_sort Hu, Guoqiang
collection PubMed
description OBJECTIVE: To establish the relationship between pulse wave transit time (PWTT) before anaesthesia induction and blood pressure variability (BPV) during anaesthesia induction. METHODS: This prospective observational cohort study enrolled consecutive patients that underwent elective surgery. Invasive arterial pressure, electrocardiography, pulse oximetry, heart rate and bispectral index were monitored. PWTT and BPV were measured with special software. Anaesthesia was induced with propofol, sufentanil and rocuronium. RESULTS: A total of 54 patients were included in this study. There was no correlation between BPV and the dose of propofol, sufentanil and rocuronium during anaesthesia induction. Bivariate linear regression analysis demonstrated that PWTT (r = –0.54), age (r = 0.34) and systolic blood pressure (r = 0.31) significantly correlated with systolic blood pressure variability (SBPV). Only PWTT (r = –0.38) was significantly correlated with diastolic blood pressure variability (DBPV). Patients were stratified into high PWTT and low PWTT groups according to the mean PWTT value (96.8 ± 17.2 ms). Compared with the high PWTT group, the SBPV of the low PWTT group increased significantly by 3.4%. The DBPV of the low PWTT group increased significantly by 2.1% compared with the high PWTT group. CONCLUSIONS: PWTT, assessed before anaesthesia induction, may be an effective predictor of haemodynamic fluctuations during anaesthesia induction.
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spelling pubmed-86472672021-12-07 The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction Hu, Guoqiang Chen, Minjuan Wang, Xiaodan Chen, Lingyang Wang, Weijian J Int Med Res Prospective Clinical Research Report OBJECTIVE: To establish the relationship between pulse wave transit time (PWTT) before anaesthesia induction and blood pressure variability (BPV) during anaesthesia induction. METHODS: This prospective observational cohort study enrolled consecutive patients that underwent elective surgery. Invasive arterial pressure, electrocardiography, pulse oximetry, heart rate and bispectral index were monitored. PWTT and BPV were measured with special software. Anaesthesia was induced with propofol, sufentanil and rocuronium. RESULTS: A total of 54 patients were included in this study. There was no correlation between BPV and the dose of propofol, sufentanil and rocuronium during anaesthesia induction. Bivariate linear regression analysis demonstrated that PWTT (r = –0.54), age (r = 0.34) and systolic blood pressure (r = 0.31) significantly correlated with systolic blood pressure variability (SBPV). Only PWTT (r = –0.38) was significantly correlated with diastolic blood pressure variability (DBPV). Patients were stratified into high PWTT and low PWTT groups according to the mean PWTT value (96.8 ± 17.2 ms). Compared with the high PWTT group, the SBPV of the low PWTT group increased significantly by 3.4%. The DBPV of the low PWTT group increased significantly by 2.1% compared with the high PWTT group. CONCLUSIONS: PWTT, assessed before anaesthesia induction, may be an effective predictor of haemodynamic fluctuations during anaesthesia induction. SAGE Publications 2021-11-30 /pmc/articles/PMC8647267/ /pubmed/34846923 http://dx.doi.org/10.1177/03000605211058380 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Prospective Clinical Research Report
Hu, Guoqiang
Chen, Minjuan
Wang, Xiaodan
Chen, Lingyang
Wang, Weijian
The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title_full The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title_fullStr The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title_full_unstemmed The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title_short The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
title_sort key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
topic Prospective Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647267/
https://www.ncbi.nlm.nih.gov/pubmed/34846923
http://dx.doi.org/10.1177/03000605211058380
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