P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis
Background: Measurement of wave intensity (WI) requires simultaneous or quasi-simultaneous measurement of pressure and flow limiting its use. Previous work in dogs [1] and humans [2] has shown that the excess pressure waveforms calculated using reservoir analysis correspond closely with aortic flow...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-02-01
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Series: | Artery Research |
Online Access: | https://www.atlantis-press.com/article/125934532/view |
_version_ | 1818216977394565120 |
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author | Alun Hughes Kim Parker Nish Chaturvedi Chloe Park |
author_facet | Alun Hughes Kim Parker Nish Chaturvedi Chloe Park |
author_sort | Alun Hughes |
collection | DOAJ |
description | Background: Measurement of wave intensity (WI) requires simultaneous or quasi-simultaneous measurement of pressure and flow limiting its use. Previous work in dogs [1] and humans [2] has shown that the excess pressure waveforms calculated using reservoir analysis correspond closely with aortic flow waveforms. This offers a potential method to estimate WI using only pressure waveforms (pWI). We investigated the feasibility of this approach and agreement with established methods.
Methods: 262 participants (68.3 (SD = 5.5); 74% male) without aortic stenosis or heart failure were recruited from a UK-based longitudinal study, Southall and Brent Revisited. Central pressure waveforms, aortic flow velocity and carotid WI were measured using tonometry (Sphygmocor, AtCor), echocardiography (iE33, Philips) and ultrasonography (SSD-5500, Aloka) respectively. Reservoir analysis was performed as previously described [2] and excess pressure waveforms were calibrated to flow velocity assuming a peak velocity of 1 m/s. Method agreement was assessed as mean difference (MD), limits of agreement (LOA) and concordance coefficient (CC).
Results: Analysis failed in 9 individuals; results for those with analysable data are shown in Table 1. Aortic pWI was higher than aortic WI but showed good concordance (logW1: MD(LOA) = −0.41(−0.73, −0.09) CC = 0.7; logW2: MD(LOA) = −0.41 (−0.73, −0.09); CC = 0.7). Agreement of pWI with carotid WI showed no bias and concordance was fair to poor (logW1: MD (LOA) = −0.16 (−1.30, 0.99) CC = 0.3; logW2: MD (LOA) = −0.02 (−1.23, 1.2); CC = 0.1).
Table 1Results
Variables
N
Median/(%)
p25
p75
Age, y
207
67.9
63.6
71.9
BMI, kg/m2
207
26.6
24.1
30.1
Systolic BP, mmHg
207
139
126
148
Diastolic BP, mmHg
207
76
70
82
Heart rate, bpm
207
66
59
74.5
Male sex, %
150
72.5
Ethnicity
European
88
(42.5%)
South Asian
75
(36.2%)
African Caribbean
44
(21.3%)
Current smoker
18
(8.8%)
Diabetes
65
(31.4%)
Hypertension
130
(62.8%)
Aorta
W1, mmHg.m.s−3
207
7103
5041
9910
W2, mmHg.m.s−3
207
1637
1147
2518
pW1, mmHg.m.s−3
207
10,526
7677
14,336
pW2, mmHg.m.s−3
207
2491
1779
3560
time W1 to W2, s
207
0.25
0.23
0.27
Peak velocity, m/s
207
1.34
1.2
1.46
Carotid artery
W1, mmHg.m.s-3
207
8714
6550
12,883
W2, mmHg.m.s-3
207
2327
1471
3227
time W1 to W2, s
207
0.29
0.27
0.31
Peak velocity, m/s
207
1.10
0.92
1.30
BMI, body mass index; BP, blood pressure; p25, 25th centile; p75, 75th centile; pW1, peak intensity of initial forward compression wave (W1) estimated using pressure only; pW2, peak intensity of initial forward compression wave (W2) estimated using pressure only; W1, peak intensity of initial forward compression wave (W1) calculated using aortic velocity; W2, peak intensity of initial forward compression wave (W2) calculated using aortic velocity.
Conclusion: Estimation of aortic WI from pressure waveforms using reservoir analysis is feasible. |
first_indexed | 2024-12-12T07:00:32Z |
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institution | Directory Open Access Journal |
issn | 1876-4401 |
language | English |
last_indexed | 2024-12-12T07:00:32Z |
publishDate | 2020-02-01 |
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series | Artery Research |
spelling | doaj.art-777e8ed08b16428ea4871b43f361104c2022-12-22T00:33:51ZengBMCArtery Research1876-44012020-02-0125110.2991/artres.k.191224.093P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir AnalysisAlun HughesKim ParkerNish ChaturvediChloe ParkBackground: Measurement of wave intensity (WI) requires simultaneous or quasi-simultaneous measurement of pressure and flow limiting its use. Previous work in dogs [1] and humans [2] has shown that the excess pressure waveforms calculated using reservoir analysis correspond closely with aortic flow waveforms. This offers a potential method to estimate WI using only pressure waveforms (pWI). We investigated the feasibility of this approach and agreement with established methods. Methods: 262 participants (68.3 (SD = 5.5); 74% male) without aortic stenosis or heart failure were recruited from a UK-based longitudinal study, Southall and Brent Revisited. Central pressure waveforms, aortic flow velocity and carotid WI were measured using tonometry (Sphygmocor, AtCor), echocardiography (iE33, Philips) and ultrasonography (SSD-5500, Aloka) respectively. Reservoir analysis was performed as previously described [2] and excess pressure waveforms were calibrated to flow velocity assuming a peak velocity of 1 m/s. Method agreement was assessed as mean difference (MD), limits of agreement (LOA) and concordance coefficient (CC). Results: Analysis failed in 9 individuals; results for those with analysable data are shown in Table 1. Aortic pWI was higher than aortic WI but showed good concordance (logW1: MD(LOA) = −0.41(−0.73, −0.09) CC = 0.7; logW2: MD(LOA) = −0.41 (−0.73, −0.09); CC = 0.7). Agreement of pWI with carotid WI showed no bias and concordance was fair to poor (logW1: MD (LOA) = −0.16 (−1.30, 0.99) CC = 0.3; logW2: MD (LOA) = −0.02 (−1.23, 1.2); CC = 0.1). Table 1Results Variables N Median/(%) p25 p75 Age, y 207 67.9 63.6 71.9 BMI, kg/m2 207 26.6 24.1 30.1 Systolic BP, mmHg 207 139 126 148 Diastolic BP, mmHg 207 76 70 82 Heart rate, bpm 207 66 59 74.5 Male sex, % 150 72.5 Ethnicity European 88 (42.5%) South Asian 75 (36.2%) African Caribbean 44 (21.3%) Current smoker 18 (8.8%) Diabetes 65 (31.4%) Hypertension 130 (62.8%) Aorta W1, mmHg.m.s−3 207 7103 5041 9910 W2, mmHg.m.s−3 207 1637 1147 2518 pW1, mmHg.m.s−3 207 10,526 7677 14,336 pW2, mmHg.m.s−3 207 2491 1779 3560 time W1 to W2, s 207 0.25 0.23 0.27 Peak velocity, m/s 207 1.34 1.2 1.46 Carotid artery W1, mmHg.m.s-3 207 8714 6550 12,883 W2, mmHg.m.s-3 207 2327 1471 3227 time W1 to W2, s 207 0.29 0.27 0.31 Peak velocity, m/s 207 1.10 0.92 1.30 BMI, body mass index; BP, blood pressure; p25, 25th centile; p75, 75th centile; pW1, peak intensity of initial forward compression wave (W1) estimated using pressure only; pW2, peak intensity of initial forward compression wave (W2) estimated using pressure only; W1, peak intensity of initial forward compression wave (W1) calculated using aortic velocity; W2, peak intensity of initial forward compression wave (W2) calculated using aortic velocity. Conclusion: Estimation of aortic WI from pressure waveforms using reservoir analysis is feasible.https://www.atlantis-press.com/article/125934532/view |
spellingShingle | Alun Hughes Kim Parker Nish Chaturvedi Chloe Park P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis Artery Research |
title | P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis |
title_full | P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis |
title_fullStr | P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis |
title_full_unstemmed | P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis |
title_short | P62 Estimation of Wave Intensity in Humans Using only Pressure Waveforms and Reservoir Analysis |
title_sort | p62 estimation of wave intensity in humans using only pressure waveforms and reservoir analysis |
url | https://www.atlantis-press.com/article/125934532/view |
work_keys_str_mv | AT alunhughes p62estimationofwaveintensityinhumansusingonlypressurewaveformsandreservoiranalysis AT kimparker p62estimationofwaveintensityinhumansusingonlypressurewaveformsandreservoiranalysis AT nishchaturvedi p62estimationofwaveintensityinhumansusingonlypressurewaveformsandreservoiranalysis AT chloepark p62estimationofwaveintensityinhumansusingonlypressurewaveformsandreservoiranalysis |