Pulse wave velocity and the second derivative of the finger photoplethysmogram in treated hypertensive patients

Hashimoto, Junichiro; Chonan, Kenichi; Aoki, Y.; Nishimura, Takuya; Ohkubo, Takayoshi; Hozawa, Atsushi; Suzuki, Michiko; Matsubara, Mitsunobu; Michimata, Mari; Araki, Tsutomu; Imai, Yutaka

doi:10.1097/00004872-200212000-00021

Cited by 110 publications

(84 citation statements)

References 21 publications

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“…Attempts at providing a less intrusive methodology have resulted in determination of parameters related to PTT from recording of a single pulse trace, such as the use of the second derivative of the finger photoplethysmogram. 14 Although of limited use, this method has not shown a strong association with PWV. 14,15 In this present study, we propose a novel noninvasive and less intrusive method to assess arterial stiffness from a single peripheral pulse waveform.…”

mentioning

confidence: 98%

“…14 Although of limited use, this method has not shown a strong association with PWV. 14,15 In this present study, we propose a novel noninvasive and less intrusive method to assess arterial stiffness from a single peripheral pulse waveform. This method determines carotidto-femoral PTT from the radial pressure waveform, which is transformed to derive the central aortic pressure waveform via a validated transfer function.…”

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confidence: 98%

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Determination of Aortic Pulse Wave Velocity From Waveform Decomposition of the Central Aortic Pressure Pulse

2008

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Abstract-Aortic pulse wave velocity (PWV), calculated from pulse transit time (PTT) using 2 separate pulse recordings over a known distance, is a significant biomarker of cardiovascular risk. This study evaluates a novel method of determining PTT from waveform decomposition of central aortic pressure using a single pulse measurement. Aortic pressure was estimated from a transformed radial pulse and decomposed into forward and backward waves using a triangular flow wave. Pulse transit time was determined from cross-correlation of forward and backward waves. Pulse transit time, representing twice the PTT between 2 specific sites, was compared with independent measurements of carotid-femoral PTT in a cohort of 46 subjects (23 females; age 57Ϯ14 years). Linear regression between measured PTT (y; milliseconds) and calculated PTT (x; milliseconds) was yϭ1.05xϪ2. Key Words: pulse Ⅲ aorta Ⅲ arterial pressure Ⅲ digital signal processing Ⅲ blood flow P ulse wave velocity (PWV) has become a well-accepted surrogate measure of arterial stiffness 1-5 and has been shown to be a significant predictor of cardiovascular risk in diseased 2,4 and older healthy populations. 6 Aortic PWV is determined noninvasively by measuring the pulse transit time (PTT) over a known distance of the aortic trunk. Although in some studies the arterial pulse has been detected using Doppler ultrasound probes in the aortic arch or subclavian artery and the femoral artery, 7,8 the general convention is to register the pressure pulse using some form of mechanical transducer. 9 The carotid and femoral pulses are either recorded simultaneously (as in the Complior device, Artech Medical 10,11 ) or recorded sequentially using a single probe and the carotid-femoral PTT determined with reference to the R wave of the ECG signal (as in the SphygmoCor device, AtCor Medical 11-13 ). Both methods have been shown to be comparable in detecting similar relative changes in PTT with interventions. 11 Although these methods are useful in research and clinical laboratories, there is increasing interest in attempts at simplifying the procedure for routine clinical measurements in terms of eliminating the necessary intrusion of recording the femoral pulse or when a reliable femoral recording cannot be readily obtained, as can often occur in obese subjects or those with excessive abdominal adipose tissue. Attempts at providing a less intrusive methodology have resulted in determination of parameters related to PTT from recording of a single pulse trace, such as the use of the second derivative of the finger photoplethysmogram. 14 Although of limited use, this method has not shown a strong association with PWV. 14,15 In this present study, we propose a novel noninvasive and less intrusive method to assess arterial stiffness from a single peripheral pulse waveform. This method determines carotidto-femoral PTT from the radial pressure waveform, which is transformed to derive the central aortic pressure waveform via a validated transfer function. 12,16 -18 The central aortic pr...

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Determination of Aortic Pulse Wave Velocity From Waveform Decomposition of the Central Aortic Pressure Pulse

2008

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“…Study by Woodman et al (2003) found that SI DVP correlated to PWV (r=0.54). Hashimoto et al (2002) observed that among hypertensive subjects, PWV correlated to B/A (b/a) ratio obtained by analyzing the second derivative PPG, which is a proposed index of AS. However, this correlation became insignificant after adjustment for the age and MAP (r=0.16).…”

Section: Discussionmentioning

confidence: 98%

The Assessment of Finger Photoplethysmography Fitness Index (PPGF) among Young Men with Cardiovascular Disease Risk Factors: A Cross Sectional Study

Aminuddin¹,

Zakaria²,

Chellappan³

et al. 2016

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ABSTRAK Dua petanda kesihatan salur darah baru yang dihasilkan daripada gelombang fotopletismografi jari (PPG) telah diperkenalkan berdasarkan populasi rakyat Malaysia iaitu indeks kecergasan PPG (PPGF) dan indeks jangkaan risiko salur darah (VRPI). Antara objektif kajian ini adalah untuk mengkaji hubungan antara PPGF dengan petanda penyakit jantung (CVD (Beta = 0.35, p < 0.01), p < 0.01), p = 0.04) dan ketinggian (Beta = 0.24, p < 0.01 ABSTRACTTwo new vascular health markers which are derived from finger photoplethysmography (PPG) waveform have been introduced based on Malaysian population, namely PPG fitness index (PPGF) and vascular risk prediction index (VRPI). The objectives of this study were to investigate the associations between PPGF and other cardiovascular disease (CVD) markers such as carotid femoral pulse wave velocity (PWV CF ), to compare PPGF between those with and without CVD risk factors and to determine the sensitivity of VRPI in identifying young subjects with CVD risk factors. A total of 114 men age 20 to 40 yrs with and without CVD risk factors were recruited. Risk factors included hypertension, smoking, dyslipidemia, abdominal obesity and family history of premature CVD. Subjects were divided into healthy, those with one risk factor and those with at least two risk factors. Their weight, height, peripheral and central blood pressure (BP), PWV CF and PPGF were measured and the sensitivity of VRPI in predicting subjects with CVD risk factor was calculated. Data was analyzed via SPSS version 15 and p < 0.05 was considered significant. The mean age of the subjects was 28.94 ± 4.86 yrs. No differences in PPGF was observed between groups (p > 0.05). The independent variables for PPGF were forward pressure (Beta = 0.35, p < 0.01), PWV CF (Beta = -0.26, p < 0.01), systolic BP (Beta = -0.26, p = 0.04) and height (Beta = 0.24, p < 0.01). The sensitivity of VRPI was 82.02%. In conclusion, PPGF was correlated to PWV CF and may be a potential marker of arterial stiffness. In addition, VRPI is sensitive to be used as an early screening of CVD risk factors.

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“…[11][12][13] One transducer was positioned over the left common carotid artery and another was placed over the left femoral artery. The device simultaneously recorded the ECG and phonocardiogram (PCG).…”

Section: Pwv Measurementmentioning

confidence: 99%

Aortic Pulse Wave Velocity Predicts Cardiovascular Mortality in Middle-Aged and Elderly Japanese Men

Inoue¹,

Maeda²,

Kawakami

et al. 2009

Circ J

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Methods Study PopulationA total of 5,194 participant, all men aged 50-69 years, underwent a medical check-up, including a 75-g oral glucose tolerance test (OGTT), at Hiroshima Atomic-Bomb Casualty Council Health Management and Promotion Center from January 1988 to December 2003. Of them, 1,130 were excluded because the waveform of the PWV was not able to be measured and 104 participants who had a gastrectomy, were undergoing treatment for diabetes mellitus or were not free of life-threatening illness were also excluded. Consequently, 3,960 men with a mean age of 61±5.5 years were recruited. The average follow-up period was 8.2±3.6 years. Ethical ConsiderationsThe protocol of this study was approved by the Central Institutional Review Board of our foundation and Hiroshima University. The data of each participant were made anonymous so they could not be identified. DefinitionsCauses of death were ascertained from death certificates. Individual diagnoses were classified according to the 9 th International Classification of Disease (ICD-9) codes: cardiovascular disease was defined as the underlying cause of death with ICD-9 codes 401-438. MeasurementsAt baseline, all participants underwent a medical checkup including a 75-g OGTT after overnight fast. Body weight and height were recorded. Blood pressure (BP) was measured by a physician with a mercury sphygmomanometer while the subject was seated after resting for 15 min; phases 1 and 5 of the Korotkoff sounds were determined as systolic and diastolic BP, respectively. When the initial BP was high (Received May 15, 2008; revised manuscript received October 8, 2008; accepted October 19, 2008; released online January 30, 2009 Background: Aortic pulse wave velocity (PWV) is widely used as a noninvasive index of arterial stiffness and was used in the present study to investigate the relationship between PWV and cardiovascular mortality in the middle-aged and elderly Japanese population using a longitudinal study design.

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Pulse wave velocity and the second derivative of the finger photoplethysmogram in treated hypertensive patients

Abstract: The results suggest that in hypertensive patients, PWV and SDPTG provide different information about arterial properties at central and peripheral sites.

Cited by 110 publications

References 21 publications

Determination of Aortic Pulse Wave Velocity From Waveform Decomposition of the Central Aortic Pressure Pulse

Determination of Aortic Pulse Wave Velocity From Waveform Decomposition of the Central Aortic Pressure Pulse

The Assessment of Finger Photoplethysmography Fitness Index (PPGF) among Young Men with Cardiovascular Disease Risk Factors: A Cross Sectional Study

Aortic Pulse Wave Velocity Predicts Cardiovascular Mortality in Middle-Aged and Elderly Japanese Men

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