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 a...

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Autores principales:	Guoqiang Hu, Minjuan Chen, Xiaodan Wang, Lingyang Chen, Weijian Wang
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/1884bd39f6ea44f38256724555b924b9
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spelling	oai:doaj.org-article:1884bd39f6ea44f38256724555b924b92021-12-02T03:04:34ZThe key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction1473-230010.1177/03000605211058380https://doaj.org/article/1884bd39f6ea44f38256724555b924b92021-11-01T00:00:00Zhttps://doi.org/10.1177/03000605211058380https://doaj.org/toc/1473-2300Objective 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.Guoqiang HuMinjuan ChenXiaodan WangLingyang ChenWeijian WangSAGE PublishingarticleMedicine (General)R5-920ENJournal of International Medical Research, Vol 49 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Guoqiang Hu Minjuan Chen Xiaodan Wang Lingyang Chen Weijian Wang The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
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.
format	article
author	Guoqiang Hu Minjuan Chen Xiaodan Wang Lingyang Chen Weijian Wang
author_facet	Guoqiang Hu Minjuan Chen Xiaodan Wang Lingyang Chen Weijian Wang
author_sort	Guoqiang Hu
title	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_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_sort	key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/1884bd39f6ea44f38256724555b924b9
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The key role of pulse wave transit time to predict blood pressure variation during anaesthesia induction

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