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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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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. |
format | Online Article Text |
id | pubmed-8647267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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