Literature DB >> 23223109

Beat-to-beat tracking of systolic blood pressure using noninvasive pulse transit time during anesthesia induction in hypertensive patients.

Sung-Hoon Kim1, Jun-Gol Song, Ji-Hyun Park, Jung-Won Kim, Yong-Seok Park, Gyu-Sam Hwang.   

Abstract

BACKGROUND: Pulse transit time (PTT) has been reported to show good agreement with arterial blood pressure (BP) in awake humans. We evaluated whether noninvasive beat-to-beat PTT accurately correlated with invasively measured continuous arterial BP during anesthesia induction in hypertensive patients.
METHODS: Twenty-three hypertensive patients who were scheduled for kidney transplant were enrolled. Radial arterial BP, electrocardiogram, and finger pulse oximetric plethysmography were simultaneously recorded. PTT was measured as the time interval from the R-wave peak on the electrocardiogram to the maximal upslope of the photoplethysmogram. Relationships between beat-to-beat PTT and BP were evaluated by correlation and receiver operating characteristic (ROC) curve analysis.
RESULTS: During anesthesia induction, changes in PTT were directly proportional to changes in BP: when BP decreased, PTT lengthened, and vice versa. The inverse of PTT demonstrated significantly better correlation with systolic BP than with mean BP (r = 0.81 ± 0.11 vs r = 0.72 ± 0.17; P < 0.001) or diastolic BP (r = 0.81 ± 0.11 vs r = 0.52 ± 0.24; P < 0.001). The inverse of PTT was more highly correlated with decreasing than with increasing changes in systolic BP (r = 0.83 ± 0.12 vs r = 0.68 ± 0.20; P = 0.001). The ROC curve analysis revealed that a 15% increase in PTT during anesthesia induction could detect a ≥30% decrease in systolic BP, with an area under the ROC curve of 0.85.
CONCLUSION: Beat-to-beat PTT was fairly well correlated with invasive systolic BP and could predict a reduction in systolic BP during anesthesia induction. Beat-to-beat PTT may show potential as a useful noninvasive index of systolic BP when invasive BP is unavailable in high-risk hypertensive patients.

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Year:  2012        PMID: 23223109     DOI: 10.1213/ANE.0b013e318270a6d9

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  13 in total

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2.  Pulse transit time shows vascular changes caused by propofol in children.

Authors:  Joo-Eun Kang; In-Kyung Song; Ji-Hyun Lee; Min Hur; Jin-Tae Kim; Hee-Soo Kim
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3.  Association of Sleep Disordered Breathing with Wake-Up Acute Ischemic Stroke: A Full Polysomnographic Study.

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4.  Pulse Arrival Time Based Cuff-Less and 24-H Wearable Blood Pressure Monitoring and its Diagnostic Value in Hypertension.

Authors:  Yali Zheng; Carmen C Y Poon; Bryan P Yan; James Y W Lau
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Authors:  Younghoon Kwon; Patrick L Stafford; Diane C Lim; Sungha Park; Sung-Hoon Kim; Richard B Berry; David A Calhoun
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6.  Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves.

Authors:  Marit H N van Velzen; Arjo J Loeve; Sjoerd P Niehof; Egbert G Mik
Journal:  Med Biol Eng Comput       Date:  2017-03-30       Impact factor: 2.602

7.  An Optimization Study of Estimating Blood Pressure Models Based on Pulse Arrival Time for Continuous Monitoring.

Authors:  Jiang Shao; Ping Shi; Sijung Hu; Yang Liu; Hongliu Yu
Journal:  J Healthc Eng       Date:  2020-02-10       Impact factor: 2.682

8.  How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way.

Authors:  Antonio Cicone; Hau-Tieng Wu
Journal:  Front Physiol       Date:  2017-09-22       Impact factor: 4.566

9.  Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data.

Authors:  Yu-Ting Lin; Yu-Lun Lo; Chen-Yun Lin; Martin G Frasch; Hau-Tieng Wu
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

Review 10.  Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension.

Authors:  Kaylie Welykholowa; Manish Hosanee; Gabriel Chan; Rachel Cooper; Panayiotis A Kyriacou; Dingchang Zheng; John Allen; Derek Abbott; Carlo Menon; Nigel H Lovell; Newton Howard; Wee-Shian Chan; Kenneth Lim; Richard Fletcher; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

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