Oscillometric estimation of central blood pressure

Weiß, Wolfgang; Gohlisch, Christopher; Harsch-Gladisch, Christl; Tölle, Markus; Zidek, Walter; Giet, Markus van der

doi:10.1097/mbp.0b013e328353ff63

Cited by 169 publications

(76 citation statements)

References 15 publications

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“…Bland-Altman analysis in the present study showed wider SDs and 95% limits of agreement for the comparison between Sphygmocor- and Mobil-O-Graph-derived parameters relative to those reported in previous validation studies conducted in non-renal populations [16,17,18,19]. Because Mobil-O-Graph device was originally designed to obtain measurements in the general and not in specific diseased populations, we cannot exclude the possibility that factors related to the disease status of ESRD patients (i.e., the severely impaired mechanical arterial properties of these patients, presence of arteriovenous anastomoses, dialysis vintage or other factors) may have influenced the ARCSolver algorithms, resulting in a wider scatter of the Mobil-O-Graph-derived indices.…”

Section: Discussionmentioning

confidence: 55%

“…The good agreement between the test and reference devices is supported by another analysis of aSBP measurements performed in 100 hypertensive individuals studied in static conditions. In this study, the Bland-Altman analysis revealed a mean-between-method difference of 0.5 mm Hg and 95% limits of agreement ranging from -8.37 to 9.37 mm Hg [19]. Finally, in a recently published study, Luzardo et al confirmed that irrespective of measurement conditions (static or ambulatory), the Mobil-O-Graph device provided similar aSBP estimates with static tonometric measurements by the Sphygmocor device [17].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies testing the validity of this device against invasive and non-invasive measurements in volunteers with or without hypertension have shown acceptable agreement for aortic SBP (aSBP) and AIx recorded in static conditions and slight underestimation of PWV [16,17,18,19]. Whether estimation of these indices with the use of the Mobil-O-Graph device is also precise in the hemodialysis population - that is, in a population characterized by severely impaired arterial mechanical properties, a fact that questions the possibility to apply in these patients any algorithm not specifically designed for ESRD - is not investigated.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of a Novel Brachial Cuff-Based Oscillometric Method for Estimating Central Systolic Pressure in Hemodialysis Patients

et al. 2014

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Background/Aims: Elevated wave reflections and arterial stiffness, as well as ambulatory blood pressure (BP) are independent predictors of cardiovascular risk in end-stage-renal-disease. This study is the first to evaluate in hemodialysis patients the validity of a new ambulatory oscillometric device (Mobil-O-Graph, IEM, Germany), which estimates aortic BP, augmentation index (AIx) and pulse wave velocity (PWV). Methods: Aortic SBP (aSBP), heart rate-adjusted AIx (AIx(75)) and PWV measured with Mobil-O-Graph were compared with the values from the most widely used tonometric device (Sphygmocor, ArtCor, Australia) in 73 hemodialysispatients. Measurements were made in a randomized order after 10 min of rest in the supine position at least 30 min before a dialysis session. Brachial BP (mercury sphygmomanometer) was used for the calibration of Sphygmocor's waveform. Results: Sphygmocor-derivedaSBP and AIx(75) did not differ from the relevant Mobil-O-Graph measurements (aSBP: 136.3 ± 19.6 vs. 133.5 ± 19.3 mm Hg, p = 0.068; AIx(75): 28.4 ± 9.3 vs. 30.0 ± 11.8%, p = 0.229). The small difference in aSBP is perhaps explained by a relevant difference in brachial SBP used for calibration (146.9 ± 20.4 vs. 145.2 ± 19.9 mm Hg, p = 0.341). Sphygmocor PWV was higher than Mobil-O-Graph PWV (10.3 ± 3.4 vs. 9.5 ± 2.1 m/s, p < 0.01). All 3 parameters estimated by Mobil-O-Graph showed highly significant (p < 0.001) correlations with the relevant measurements of Sphygmocor (aSBP, r = 0.770; AIx(75), r = 0.400; PWV, r = 0.739). The Bland-Altman Plots for aSBP and AIx(75) showed acceptable agreement between the two devices and no evidence of systemic bias for PWV. Conclusion: As in other populations, acceptable agreement between Mobil-O-Graph and Sphygmocor was evident for aSBP and AIx(75) in hemodialysis patients; PWV was slightly underestimated by Mobil-O-Graph.

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Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of a Novel Brachial Cuff-Based Oscillometric Method for Estimating Central Systolic Pressure in Hemodialysis Patients

et al. 2014

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“…GmbH, Stolberg, Germany), which is the first automated self‐measurement ambulatory blood pressure monitoring device that uses brachial oscillometric blood pressure for a non‐invasive estimation of central blood pressure 15, 16. This device uses a novel transfer function‐like method (ARCSolver algorithm) with brachial cuff‐based waveform recordings, and its measurements of blood pressure, waveform, and PWV have been validated 15, 16, 25, 26. PWV measured by this device has a good correlation with that measured by traditionally used tonometry systems 25, 26.…”

Section: Methodsmentioning

confidence: 99%

“…This device uses a novel transfer function‐like method (ARCSolver algorithm) with brachial cuff‐based waveform recordings, and its measurements of blood pressure, waveform, and PWV have been validated 15, 16, 25, 26. PWV measured by this device has a good correlation with that measured by traditionally used tonometry systems 25, 26. We evaluated PWV in patients with stable HF.…”

Section: Methodsmentioning

confidence: 99%

Association between sleep‐disordered breathing and arterial stiffness in heart failure patients with reduced or preserved ejection fraction

et al. 2018

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AimsSleep‐disordered breathing (SDB) is associated with arterial stiffness, which may be one of the factors that lead to heart failure (HF). We examined the relationship between pulse wave velocity (PWV) and SDB in patients who have HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF).Methods and resultsWe measured the apnoea–hypopnoea index (AHI) by polysomnography, echocardiographic parameters, and PWV in 221 HF patients. Age, blood pressure, and PWV were higher in HFpEF (ejection fraction > 50%, n = 70) patients than in HFrEF (ejection fraction < 50%, n = 151) patients. All HF patients were divided into three groups according to AHI: none‐to‐mild SDB group (AHI < 15 times/h, n = 77), moderate SDB group (15 < AHI < 30 times/h, n = 59), and severe SDB group (AHI > 30 times/h, n = 85). Although blood pressure and echocardiographic parameters did not differ among the three groups, PWV was significantly higher in the severe SDB group than in the none‐to‐mild and moderate SDB groups (P = 0.002). When the HFrEF and HFpEF patients were analysed separately, PWV was significantly higher in the severe SDB group than in the none‐to‐mild and moderate SDB groups in patients with HFpEF (P = 0.002), but not in those with HFrEF (P = 0.068). In the multiple regression analysis to determine PWV, the presence of severe SDB was found to be an independent predictor of high PWV in HFpEF (β = 0.234, P = 0.005), but not in HFrEF patients.ConclusionsSevere SDB is associated with elevated arterial stiffness and may be related to the pathophysiology of HF, especially in HFpEF patients.

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The effect of cardiac resynchronization therapy on arterial stiffness and central hemodynamic parameters

Çoksevim

Akçay

Yüksel

et al. 2020

Journal of Arrhythmia

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Introduction: Cardiac resynchronization therapy (CRT) is a device-based method of treatment which decreases morbidity and mortality in heart failure with reduced ejection fraction (HFrEF). This study was aimed to investigate the effects of CRT on hemodynamic and arterial stiffness parameters evaluated by noninvasive method, and determine whether there is a correlation between the changes after CRT in these parameters and the clinical response to CRT or not. Methods:The study included 46 patients with HFrEF who were planned to undergo CRT implantation. Before the CRT implantation, clinical and demographic data were recorded from all patients. Hemodynamic and arterial stiffness parameters were measured oscillometrically by an arteriograph before CRT implantation. The patients were re-evaluated minimum three months after CRT; the above-mentioned parameters were measured again and compared to the pre-CRT period.Results: Compared to the period before CRT, mean systolic blood pressure (SBP) (116.8 ± 19.1 mm Hg vs 127.7 ± 20.9 mm Hg, P = .005), central SBP (cSBP) (106.2 ± 17.3 mm Hg vs 116.8 ± 18.7 mm Hg, P = .015), cardiac output (CO) (4.6 ± 0.8 lt/min vs 5.1 ± 0.8 lt/min, P = .002), stroke volume (65.6 ± 16.3 mL vs 72.0 ± 14.9 mL), and pulse wave velocity (PWV) (10 ± 1.6 m/sec vs 10.4 ± 1.8 m/sec, P = .004) increased significantly in post-CRT period. In addition, the same parameters were significantly increased post-CRT period in patients with clinical response. However, there was not any similar increase in nonresponder patients. Conclusion:This study demonstrated that SBP, CO, and PWV increased significantly after CRT. The modest increases in these parameters were observed to be associated with positive clinical outcomes. K E Y W O R D S cardiac response, cardiac resynchronization therapy, congestive heart failure, hemodynamics parameters, pulse wave velocity | 499 COKSEVIM Et al.

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Oscillometric estimation of central blood pressure

Cited by 169 publications

References 15 publications

Evaluation of a Novel Brachial Cuff-Based Oscillometric Method for Estimating Central Systolic Pressure in Hemodialysis Patients

Evaluation of a Novel Brachial Cuff-Based Oscillometric Method for Estimating Central Systolic Pressure in Hemodialysis Patients

Association between sleep‐disordered breathing and arterial stiffness in heart failure patients with reduced or preserved ejection fraction

The effect of cardiac resynchronization therapy on arterial stiffness and central hemodynamic parameters

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