Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study

Pulse wave transit time (PWTT) is the time difference between the occurrence of an R-wave on an electrocardiogram and the detection of pulsatile signals on a pulse oximeter, which reflects changes in blood pressure (BP) corresponding to the vessel wall compliance. However, the factors affecting PWTT...

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Main Authors: Hilmanda Budiman, Ryo Wakita, Takaya Ito, Shigeru Maeda
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/11/14/3963
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author Hilmanda Budiman
Ryo Wakita
Takaya Ito
Shigeru Maeda
author_facet Hilmanda Budiman
Ryo Wakita
Takaya Ito
Shigeru Maeda
author_sort Hilmanda Budiman
collection DOAJ
description Pulse wave transit time (PWTT) is the time difference between the occurrence of an R-wave on an electrocardiogram and the detection of pulsatile signals on a pulse oximeter, which reflects changes in blood pressure (BP) corresponding to the vessel wall compliance. However, the factors affecting PWTT variability have not been determined. Thus, we investigated the BP changes associated with variations in PWTT and identified the clinical characteristics associated with these variations. Data related to 605 cases of dental procedures performed under intravenous conscious sedation from April 2020 to November 2021 were collected, and 485 cases were enrolled. Heart rate, systolic blood pressure before and after local anesthesia (LA) administration, and crest and trough PWTT waves during LA administration were recorded. Thereafter, PWTT variability was calculated; cases were divided into two groups: large PWTT variability (LPV, <i>n</i> = 357) and small PWTT variability (SPV, <i>n</i> = 128). The index of large PWTT variability could not detect changes in BP. Logistic regression analysis revealed that factors, such as LA use, age, hypertension, and dental treatment phobia were associated with PWTT variability. The use of epinephrine more than 36.25 µg in each LA resulted in PWTT variability of more than 15 ms.
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spelling doaj.art-a209618158c6495c9275c961b145b5b82023-11-30T21:09:44ZengMDPI AGJournal of Clinical Medicine2077-03832022-07-011114396310.3390/jcm11143963Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective StudyHilmanda Budiman0Ryo Wakita1Takaya Ito2Shigeru Maeda3Department of Dental Anesthesiology and Orofacial Pain Management, Tokyo Medical and Dental University, Yushima, Bunkyo-ku 1-5-45, Tokyo 113-8549, JapanDepartment of Dental Anesthesiology and Orofacial Pain Management, Tokyo Medical and Dental University, Yushima, Bunkyo-ku 1-5-45, Tokyo 113-8549, JapanDepartment of Dental Anesthesiology and Orofacial Pain Management, Tokyo Medical and Dental University, Yushima, Bunkyo-ku 1-5-45, Tokyo 113-8549, JapanDepartment of Dental Anesthesiology and Orofacial Pain Management, Tokyo Medical and Dental University, Yushima, Bunkyo-ku 1-5-45, Tokyo 113-8549, JapanPulse wave transit time (PWTT) is the time difference between the occurrence of an R-wave on an electrocardiogram and the detection of pulsatile signals on a pulse oximeter, which reflects changes in blood pressure (BP) corresponding to the vessel wall compliance. However, the factors affecting PWTT variability have not been determined. Thus, we investigated the BP changes associated with variations in PWTT and identified the clinical characteristics associated with these variations. Data related to 605 cases of dental procedures performed under intravenous conscious sedation from April 2020 to November 2021 were collected, and 485 cases were enrolled. Heart rate, systolic blood pressure before and after local anesthesia (LA) administration, and crest and trough PWTT waves during LA administration were recorded. Thereafter, PWTT variability was calculated; cases were divided into two groups: large PWTT variability (LPV, <i>n</i> = 357) and small PWTT variability (SPV, <i>n</i> = 128). The index of large PWTT variability could not detect changes in BP. Logistic regression analysis revealed that factors, such as LA use, age, hypertension, and dental treatment phobia were associated with PWTT variability. The use of epinephrine more than 36.25 µg in each LA resulted in PWTT variability of more than 15 ms.https://www.mdpi.com/2077-0383/11/14/3963pulse wave transit timeambulatory monitoringhemodynamic monitoringlocal anesthetics
spellingShingle Hilmanda Budiman
Ryo Wakita
Takaya Ito
Shigeru Maeda
Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
Journal of Clinical Medicine
pulse wave transit time
ambulatory monitoring
hemodynamic monitoring
local anesthetics
title Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
title_full Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
title_fullStr Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
title_full_unstemmed Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
title_short Factors Associated with Variability in Pulse Wave Transit Time Using Pulse Oximetry: A Retrospective Study
title_sort factors associated with variability in pulse wave transit time using pulse oximetry a retrospective study
topic pulse wave transit time
ambulatory monitoring
hemodynamic monitoring
local anesthetics
url https://www.mdpi.com/2077-0383/11/14/3963
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