Skip to main content
Download PDF

Estimation of central arterial pressure from the radial artery in patients undergoing invasive neuroradiological procedures

BMC Anesthesiology volume 19, Article number: 173 (2019) Cite this article

Abstract

Backgrounds

Central arterial pressure can be derived from analysis of the peripheral artery waveform. The aim of this study was to compare central arterial pressures measured from an intra-aortic catheter with peripheral radial arterial pressures and with central arterial pressures estimated from the peripheral pressure wave using a pressure recording analytical method (PRAM).

Methods

We studied 21 patients undergoing digital subtraction cerebral angiography under local or general anesthesia and equipped with a radial arterial catheter. A second catheter was placed in the ascending aorta for central pressure wave acquisition. Central (AO) and peripheral (RA) arterial waveforms were recorded simultaneously by PRAM for 90–180 s. During an off-line analysis, AO pressures were reconstructed (AOrec) from the RA trace using a mathematical model obtained by multi-linear regression analysis. The AOrec values obtained by PRAM were compared with the true central pressure value obtained from the catheter placed in the ascending aorta.

Results

Systolic, diastolic and mean pressures ranged from 79 to 180 mmHg, 47 to 102 mmHg, and 58 to 128 mmHg, respectively, for AO, and 83 to 174 mmHg, 47 to 107 mmHg, and 60 to 129 mmHg, respectively, for RA. The correlation coefficients between AO and RA were 0.86 (p < 0.01), 0.83 (p < 0.01) and 0.86 (p < 0.01) for systolic, diastolic and mean pressures, respectively, and the mean differences − 0.3 mmHg, 2.4 mmHg and 1.5 mmHg. The correlation coefficients between AO and AOrec were 0.92 (p < 0.001), 0.87 (p < 0.001) and 0.92 (p < 0.001), for systolic, diastolic and mean pressures, respectively, and the mean differences 0.01 mmHg, 1.8 mmHg and 1.2 mmHg.

Conclusions

PRAM can provide reliable estimates of central arterial pressure.

Peer Review reports

Introduction

Reliable arterial pressure monitoring is essential in critically ill patients. Physicians use the mean arterial pressure value as an index of tissue perfusion [1], but interpretation of arterial pressure waveform or derived variables is not always straightforward. In particular, the arterial pressure recorded from a femoral or radial indwelling catheter differs somewhat from the central (i.e., aortic) pressure, which is a key determinant of left ventricular afterload and coronary perfusion [2, 3]. Reliable assessment of central arterial pressure has been a topic of recent investigation; in particular, aortic pressure is better related to the severity of atherosclerosis, loading conditions of the left ventricular myocardium, and left ventricular and vascular remodeling than are conventional peripheral pressures. It is also a better predictor of cardiovascular events and mortality in non-critically ill patients than peripheral pressure [4,5,6].

Critically ill patients experience significant variability in arterial pressure and changes in pressure wave morphology as a result of variations in arterial tone (e.g., from sepsis-induced vasodilation or post-surgical bleeding and vasoconstriction) [7] so that peripheral arterial pressure cannot be reliably correlated with absolute values of central arterial pressure [8]. In particular, increasing doses of vasoactive drugs may have different effects on central and peripheral arterial pressures [8,9,10,11].

Central arterial pressure can be assessed non-invasively by applanation tonometry, using a mathematical transformation (i.e., “transfer function”) to estimate the aortic pressure wave from the peripheral (i.e., brachial or radial) pulse wave [2, 12,13,14,15]. In this approach, brachial arterial pressure measurement is needed to calibrate the transfer function, and aortic blood pressure is derived taking into account the timing of both the antegrade and retrograde pulse waves [13, 14]. An alternative method is the Pressure Recording Analytical Method (PRAM), a pulse contour analysis system that can reconstruct the central arterial pressure using a mathematical model applied to the peripheral pressure wave [16]. Romano et al. showed that the function linking the central to the peripheral waveform and other variables (e.g., dicrotic pressure, diastolic pressure, heart rate, …) was sufficient to be able to estimate the central arterial pressure from the pressure recorded at the radial site [17], avoiding the need to reconstruct every individual arterial wave point. Thus, PRAM could be helpful in ICU patients who are only monitored with an indwelling peripheral arterial catheter as central arterial pressures could be estimated using a continuous beat-to-beat approach.

The aim of this study was therefore to compare actual measured central arterial pressures (from an intra-aortic catheter), peripheral arterial pressures (from a radial catheter) and central arterial pressures estimated by PRAM in patients undergoing invasive neuroradiology procedures.

Methods

Patients

The Erasme University Hospital Ethics Committee approved the study (number P2011/077) and written informed consent was obtained from all patients. We prospectively studied a convenience sample of 21 adult critically ill neurological patients equipped with a 20-gauge radial arterial catheter for arterial pressure monitoring and who required digital subtraction cerebral angiography for their neurological assessment and management. We excluded patients with pathologies that could affect the quality and reliability of the arterial signal, such as aortic valve pathologies, aortic aneurysms, and cardiac arrhythmias. We also excluded patients with poor quality arterial pressure signals as a result of excessive over- or underdamping of the catheter-transducer system, checked using the fast flush test (see next section for details) [18, 19].

Study protocol

All angiograms were performed by the same neuroradiologist (B.L.) under local or general (using propofol infusion pumps) anesthesia, depending on the patient’s condition. In all patients, the 20G peripheral arterial line was placed on the day of the procedure. Femoral arterial access was used for introduction of the aortic catheter in each patient, with a 7F introducer followed by a 5F guiding catheter placed in the ascending aorta with contrast material injected to evaluate the location of the catheter tip. After confirmation of the correct position, the catheter guide was connected to a transducer system (Edwards Lifesciences, Irvine, USA) for arterial pressure wave acquisition. After zeroing the pressure transducer, the frequency response of the arterial blood pressure transducer was checked using a fast flush test. The test consists of a brief opening of the catheter-transducer system (fast flash valve) to the high-pressure (300 mmHg) saline bag, to obtain a transient square wave in the arterial signal [18]. Closure of the fast flush valve results in pressure oscillations, allowing computation of the natural frequency and damping coefficient [19, 20].

The central and the peripheral arterial waveforms were displayed on two different monitors (Siemens, SC 9000) (Fig. 1). The PRAM system was connected to both monitors and the standard angiographic procedure was temporarily put on stand-by. All measurements were obtained during periods of hemodynamic stability (mean arterial pressure and heart rate variations < 5%). During this period, no changes in therapy or mechanical ventilation settings were allowed. The aortic and radial pressure waves were recorded simultaneously for 90–180 s to allow storage of a sufficient number of arterial pressure waves to construct the central arterial pressure values from the peripheral ones. At the end of the pressure wave recordings, the standard angiographic procedure was resumed and the PRAM disconnected.

Fig. 1
figure 1

The central and the peripheral arterial waveforms were displayed on two main monitors (Siemens, SC 9000) (1 = central, 2 = peripheral). PRAM software was installed on a laptop (3) that was connected to both Siemens monitors to simultaneously record the aortic and radial pressure waves for 90–180 s. The PRAM screen (4) shows the simultaneous recordings of radial (top) and aortic (bottom) pressure waves in one of the patients enrolled in the study

Full size image

Pressure measurements

During an off-line analysis, aortic systolic pressure (SAPao), aortic diastolic pressure (DAPao), and aortic dicrotic pressure (Dicao) were obtained directly from the measured aortic pressure wave. Peripheral arterial pressure values were obtained from the radial pressure wave (SAPperipheral, DAPperipheral, Dicperipheral, MAPperipheral, and PPperipheral). Because measurements were obtained during periods of hemodynamic stability, the average values of all aortic and peripheral pressure waves were calculated. Blood pressure values affected by extrasystolic heart beats (if any) were excluded from the averages. Digital aortic mean pressure (MAPao) and pulse pressure (PPao) measurements were calculated using standard formulas [MAPao = (SAPao + 2*DAPao)/3 DAPao + PPao/3; PPao = SAPao-DAPao].

Aortic pressure was also reconstructed from the radial arterial trace obtained by PRAM using a mathematical model obtained from a multi-linear regression analysis (see next section). The physician who performed the off-line analyses (SMR) was not aware of the reference aortic pressure measurements.

Mathematical model for reconstructing the aortic pressure wave

For all the arterial pressures recorded, the off-line analyses were conducted using the PRAM software, assessing the frequencies and resonance points of the waveform morphology for the whole cardiac cycle. With PRAM, the arterial pressure signal is acquired at 1000 points per second (P/t, mmHg x sec− 1) and the aortic impedance (Z) is obtained from the morphologic analysis of both the pulsatile and continuous components of the pressure waveform. According to PRAM, Z(t) is equal to (P/t) x K(t) where P/t (mmHg x sec− 1) is a description of the pressure wave profile (the morphology) expressed as the variations in pressure (P) over time (t) and K is a factor inversely related to the instantaneous acceleration of the vessel cross sectional area (sec2 x cm− 1) x (1 x cm− 2). This factor represents the non-linear relationship between changes in the vessel P/t (mmHg x sec− 1) and the arterial pressure. K is obtained from the ratio between the expected (e.g., 100 mmHg at the periphery and 90 mmHg in the aorta) and the calculated mean arterial pressures [17].

Using data obtained during left heart catheterization in cardiac patients, Romano et al. previously showed that each point of the pressure waveform could be used to reconstruct the central aortic pressure using a multiple linear regression model to generate a transfer function from the periphery to the aorta [16, 17]. The multi-linear regression analysis was performed on a dataset of 123 measurements from 41 cardiac patients undergoing heart catheterization [16]. Peripheral and central pressure waves were recorded simultaneously in each patient (three pulsations each separated by 30 s). To work in the time domain, the single pulsations from peripheral and central records were interpolated linearly. The two signals were put in phase and the pressure and pulsation waveforms were analyzed. From each beat, samples were interpolated on a 1024 point grid. For each point a linear multiple regression was computed to obtain the single aortic waveform from the peripheral one [16]. For each variable (SAPrec, DAPrec and Dicrec), the same formula was used: Pao = a0 ± a1 · b1 ± a2 · b2 ± a3 · b3 ± …., where ai (i = n-1) are constant, and bj (j = n) are variables. For each point of the recorded peripheral pulse waveform, the reported multiple linear regression was applied. Independent variables were the radial pressure at the corresponding point, its first and second derivative, each point integral of radial systolic, diastolic, dicrotic and pulse pressure, heart rate, cardiac cycle efficiency [21] and Z (t1instability) [16, 17].

Statistical analysis

Data are presented as mean and standard deviation (SD), median [IQRs] or count, as appropriate. Statistical analysis was performed using the software GraphPad Prism version 5.0 (San Diego, CA, USA). For continuous data, the normal distribution was evaluated using the Kolmogorov-Smirnov test before a Student’s paired t-test was used. The relationship between measured aortic and peripheral pressures was assessed using linear correlation analysis, and mean differences with standard errors (SE) and 95% confidence interval (CI) were calculated. Because the reference method was the measurement of the true pressure in the aorta rather than a method with an intrinsic error [22], a linear regression analysis could be used to test the relationship between reconstructed and measured aortic pressure. The regression coefficient (R2), 95% CI, and equation of regression were derived. In addition, in order to estimate the differences between measured and reconstructed arterial pressure values, mean bias, SE, and 95% CI were calculated. Statistical significance was considered as a p value of < 0.05.

Results

A total of 25 acquisitions were obtained in 21 patients (Table 1). Three patients had repeated angiography on different days (two cases 1 day later and one case 8 days later) after embolization of a cerebral aneurysm. Individual values of central aortic pressures, peripheral pressures and reconstructed aortic pressures are given in the Additional file 1: Table S1. For all the acquisitions, the frequency response of the arterial blood pressure transducer was adequate using the fast flush test, so no arterial signals were excluded from the analysis.

Table 1 Demographic data, main diagnosis, comorbid diseases and severity scores on intensive care unit admission
Full size table

SAPao, DAPao and MAPao values ranged from 79 to 180 mmHg, 47 to 102 mmHg, and 58 to 128 mmHg, respectively. SAPperipheral, DAPperipheral, and MAPperipheral values ranged from 83 to 174 mmHg, 47 to 107 mmHg and 60 to 129 mmHg, respectively. The correlation coefficients between SAPao-SAPperipheral, DAPao-DAPperipheral, and MAPao-MAPperipheral were 0.86 (p < 0.01), 0.83 (p < 0.01) and 0.86 (p < 0.01), respectively (Additional file 1: Fig. S1). The differences between pressure values recorded in the aorta and the radial artery were − 0.3 mmHg (SE 2.5 mmHg), 2.4 mmHg (SE 1.6 mmHg), and 1.5 mmHg (SE 1.7 mmHg), for systolic, diastolic and mean pressures, respectively (Additional file 1: Table S2). In eight patients, the difference between SAPao and SAPperipheral was > 10 mmHg; in 4 of these patients SAPao was > SAPperipheral. In 7 measurements (made in 6 patients) the difference between DAPao and DAPperipheral was > 10 mmHg; in six of these measurements DAPao was > DAPperipheral.

The mean values of the reconstructed pressures (SAPrec, DAPrec, and MAPrec) are given in Table 2. There was excellent correlation between systolic, diastolic and mean arterial pressure values measured in the aorta and reconstructed from the radial artery (r = 0.92, < 0.001; r = 0.87, p < 0.001; r = 0.92, p < 0.001 respectively). Linear regression analysis between measured and reconstructed pressures is shown in Fig. 2 and in the Additional file 1: Table S3. The mean differences between SAPao and SAPrec, DAPao and DAPrec, and MAPao and MAPrec were 0.01 mmHg (SE 1.8), 1.8 mmHg (SE 1.3) and 1.2 mmHg (SE 1.3), respectively (Table 2). SAPrec overestimated SAPao by > 10 mmHg in 5 patients and underestimated it by > 10 mmHg in 3 patients. DAPrec underestimated DAPao by > 10 mmHg in 2 patients. MAPrec overestimated MAPao by > 10 mmHg in 1 patient and underestimated it by > 10 mmHg in 2 patients (Additional file 1: Table S4).

Table 2 Mean arterial aortic pressure values recorded directly in the aorta and reconstructed from peripheral arterial waveforms
Full size table
Fig. 2
figure 2

Linear regression of reconstructed (X-axis) and measured (Y-axis) central pressure values. Upper panels: left ➔ correlation between systolic pressure obtained from aorta (SAPao) and reconstructed from peripheral artery (SAPrec); right ➔ correlation between diastolic pressure obtained from aorta (DAPao) and reconstructed from peripheral artery (DAPrec). Lower panels: left ➔ correlation between dicrotic pressure obtained from aorta (Dicao) and reconstructed from peripheral artery (Dicrec); right ➔ correlation between mean pressure obtained from aorta (MAPao) and reconstructed from peripheral artery (MAPrec). The continuous lines show the straight correlation; dotted lines represent the 95% confidence intervals

Full size image

Subgroup analyses of the central aortic, peripheral and reconstructed aortic pressures according to norepinephrine therapy, history of arterial hypertension, subarachnoid hemorrhage on admission, and sex are given in Additional file 1: Tables S5-S8.

Discussion

In stable patients undergoing an invasive neuroradiology procedure, there was a highly significant correlation between systolic, diastolic and mean arterial pressure values measured in the aorta and in the radial (peripheral) artery. There was also a significant correlation between measured values and reconstructed values obtained by PRAM using a specific mathematical model applied to the peripheral pressure wave. These data are novel since no studies have compared reconstructed aortic pressure values obtained using PRAM with directly measured values in this patient population.

Several studies have reported significant differences between central and peripheral arterial pressures, suggesting that peripheral pressure is a poor surrogate for central pressure [2, 8, 12,13,14]. Our results showed a good correlation between central and peripheral pressures, with a low bias between central and peripheral systolic and diastolic pressures. However, there was a greater than 10 mmHg difference between central and peripheral systolic pressures in about 30% of the measurements (40% of the patients). In critically and non-critically ill patients, the differences between central and peripheral systolic pressures range between 7 and 20 mmHg [23,24,25]. It has been shown in non-critically ill patients that the greater the ratio between systolic central and peripheral pressure, the poorer the outcome. Moreover, several factors have been reported to be associated with increased ratios, including comorbid diabetes, hypertension and cardiovascular disease [9, 26,27,28,29], although conflicting results exist [30]. In our sample of stable patients, we could not determine whether the bias was related to the severity of the patients’ acute condition, to an underlying chronic vascular disease or to a combination of both. In addition, the degree and type (i.e., local, general, inhalational, intravenous) of analgesia and anesthesia may have impacted differently on the central and peripheral arterial vessels, decreasing the peripheral vascular tone by different amounts and causing varying degrees of vasodilation. This would explain why some patients had a radial systolic blood pressure that was lower than their central pressure, although these differences were not statistically significant. Unfortunately, our patients were not equipped with neuromonitoring systems to assess the depth of the anesthesia.

We have shown that central pressure values reconstructed from peripheral pressure waveforms recorded and analyzed using PRAM correlated well with the directly measured ascending aorta pressure. The central pressure waveform is generally obtained using applanation tonometry. Our results are similar to those from studies comparing central pressure derived from applanation tonometry with direct aortic pressure measurements. As an example, Chen et al. applied a transfer function to reconstruct central pressure in 20 patients undergoing cardiac catheterization and reported a correlation coefficient (R) of 0.97 and a bias of 0.0 ± 3.7 mmHg [12]. In a similar population (n = 14), Karamanoglu et al. found a significant relationship (R2 = 0.95) and a difference of 2.4 mmHg (SE = 1 mmHg) between measured and reconstructed aortic pressure [23]. A recent meta-analysis analyzed the results of 22 studies, including a total of 857 patients, which compared applanation tonometry-estimated and directly measured central aortic pressure [31]. The mean difference between measured and reconstructed systolic arterial pressure was − 1.1 ± 4.1 mmHg (95% limits of agreement from − 9.1 to 6.9 mmHg) using an invasive calibration (i.e., obtained using mean and diastolic aortic pressure values). However, the mean differences increased to − 8 ± 10 mmHg when the pressure waveform was calibrated non-invasively using a sphygmomanometer.

Systolic, diastolic and dicrotic pressures analyzed by PRAM from the radial artery have previously been reported to accurately estimate aortic pressures in patients undergoing cardiac catheterization [16]. The authors also reported that the true aortic pressure wave and the reconstructed one had similar shapes. In the present study, we were not able to clearly demonstrate that the reconstructed pressures obtained by PRAM were closer to central pressures than were the peripheral measurements. In fact, we found similar correlations and biases between central and reconstructed, and central and peripheral pressures.

Our study has some limitations. First, because of our small sample size, we could only perform limited subgroup analyses and cannot determine whether differences in the reconstructed pressure waves could have been associated with various clinical factors (e.g., age, cardiac disease, history of hypertension, sedative agents, tachycardia, etc.…). Second, although the same fluid-filled systems were used to measure central aortic and peripheral pressures, the lengths and widths of the catheters inserted into the central and peripheral sites were different. Thus, artifacts as a result of an inappropriate dynamic response (harmonics, damping, etc) of the catheter-transducer systems may have affected the measurements. It has been shown that increasing the internal radius of the catheter decreases the damping coefficient [32]. Romagnoli et al. showed that the arterial catheter diameter (20- versus 18 gauge) was one of the parameters independently associated with underdamping/resonance; the smaller the diameter of the catheter, the greater the damping coefficient of the catheter-transducer system [32]. We are unable to state whether our results would have been the same using identical catheters and fluid-filled systems to measure the aortic and radial pressures. Pauca et al. previously used similar catheters (20G) to record the pressure waveforms in both the aorta and the radial artery in patients undergoing cardiac surgery. They reported similar mean differences to those recorded in the present study, for mean and diastolic pressures but not for systolic pressure, which resulted in higher values at the peripheral site; this is in agreement with basic hemodynamic principles [24]. However, by contrast with our study, Pauca et al. enrolled cardiac surgical patients undergoing standardized general anesthesia and analgesia [24]. Unfortunately, we did not record the natural frequency and damping coefficient obtained using the fast flush test. In addition, we did not use a high fidelity catheter [32]. Chen et al. demonstrated agreement and bias between measured and reconstructed aortic pressure using a micromanometer to measure aortic pressure similar to our study [12]; however, in the majority of studies, radial pressure was measured using a fluid-filled catheter. Third, we used the mean arterial pressure calculated from the standard formula instead of the value computed from the average of the arterial waveform. We chose this method because standard monitors used in clinical practice calculate the mean arterial pressure from systolic and diastolic pressures. Fourth, we investigated a population of stable patients undergoing the same procedure and the agreement between measured and reconstructed arterial pressure may differ more substantially in less stable patients. For example, in hypertensive, hypotensive and septic patients and in patients treated with vasoactive agents, changes in arterial tone may have different effects on the characteristics of arterial wall and waveform morphology due to alteration in reflected waves [7, 33,34,35]. Finally, we reconstructed central aortic pressure only from radial traces. Arterial pressure can have different values and waveforms at different sites [2], and we cannot be sure that applying PRAM on femoral arterial signals would give similar results.

In conclusion, in the present study performed in stable patients during cerebral angiography, central arterial pressure values reconstructed from the radial artery pressure wave using PRAM were similar to those measured directly in the aorta; however, given the small differences between measured peripheral and measured aortic pressures, we were unable to demonstrate conclusively that the PRAM technique could reconstruct the central arterial pressure. Further studies are warranted in patients with larger differences between measured peripheral and aortic pressures (e.g., vascular surgical or diabetes patients) to confirm validity. In addition, studies should also assess whether this method could be helpful in critically ill patients with different conditions that may affect the pressure wave shape (e.g., sepsis, cardiac failure, trauma, hemorrhage) and may increase the risk of bias between measured and estimated pressures.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AO:

Central arterial waveforms

DAPao :

Aortic diastolic pressure

DAPperipheral :

Radial diastolic pressure

DAPrec :

Reconstructed diastolic pressure

Dicao :

Aortic dicrotic pressure

Dicperipheral :

Radial dicrotic pressure

ICU:

Intensive care unit

MAPao :

Aortic mean pressure

MAPperipheral :

Radial mean pressure

MAPrec :

Reconstructed mean pressure

PPao :

Aortic pulse pressure

PPperipheral :

Radial pulse pressure

PRAM:

Pressure Recording Analytical Method

RA:

Peripheral arterial waveforms

SAPao :

Aortic systolic pressure

SAPperipheral :

Radial systolic pressure

SAPrec :

Reconstructed systolic pressure

Z:

Aortic impedance

References

  1. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving sepsis campaign: international guidelines for Management of Sepsis and Septic Shock: 2016. Intensive Care Med. 2017;43:304–77.

    Article  PubMed  Google Scholar 

  2. Hashimoto J, Ito S. Central diastolic pressure decay mediates the relationship between aortic stiffness and myocardial viability: potential implications for aortosclerosis-induced myocardial ischemia. J Hypertens. 2017;35(10):2034–43.

    Article  CAS  PubMed  Google Scholar 

  3. Bello H, Norton GR, Ballim I, Libhaber CD, Sareli P, Woodiwiss AJ. Contributions of aortic pulse wave velocity and backward wave pressure to variations in left ventricular mass are independent of each other. J Am Soc Hypertens. 2017;11(5):265–74.

    Article  PubMed  Google Scholar 

  4. Sztrymf B, Jacobs F, Chemla D, Richard C, Millasseau SC. Validation of the new Complior sensor to record pressure signals non-invasively. J Clin Monit Comput. 2013;27(6):613–9.

    Article  PubMed  Google Scholar 

  5. Vlachopoulos C, Aznaouridis K, O’Rourke MF, Safar ME, Baou K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with central haemodynamics: a systematic review and meta-analysis. Eur Heart J. 2010;31:1865–71.

    Article  PubMed  Google Scholar 

  6. Pini R, Cavallini MC, Palmieri V, Marchionni N, Di Bari M, Devereux RB, et al. Central but not brachial arterial pressure predicts cardiovascular events in an unselected geriatric population: the ICARe Dicomano study. J Am Coll Cardiol. 2008;51(25):2432–9.

    Article  PubMed  Google Scholar 

  7. De Backer D, Annane D. Beta-blockers in septic shock to optimize hemodynamics? We are not sure. Intensive Care Med. 2016;42(10):1613–4.

    Article  PubMed  Google Scholar 

  8. Hatib F, Jansen JR, Pinsky MR. Peripheral vascular decoupling in porcine endotoxic shock. J Appl Physiol. 2011;111(3):853–60.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Williams B, Lacy PS, Thom SM, Cruickshank K, Stanton A, Collier D, et al. CAFE investigators; Anglo-Scandinavian cardiac outcomes trial investigators; CAFE steering committee and writing committee. Differential impact of blood pressure-lowering drugs on central aortic pressure and clinical outcomes: principal results of the conduit artery function evaluation (CAFE) study. Circulation. 2006;113(9):1213–25.

    Article  CAS  PubMed  Google Scholar 

  10. Roman MJ, Devereux RB, Kizer JR, Lee ET, Galloway JM, Ali T, et al. Central pressure more strongly relates to vascular disease and outcome than does brachial pressure: the strong heart study. Hypertension. 2007;50(1):197–203.

    Article  CAS  PubMed  Google Scholar 

  11. Chirinos JA, Kips JG, Jacobs DR Jr, Brumback L, Duprez DA, Kronmal R, et al. Arterial wave reflections and incident cardiovascular events and heart failure: MESA (multiethnic study of atherosclerosis). J Am Coll Cardiol. 2012;60(21):2170–7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Chen CH, Nevo E, Fetics B, Pak PH, Yin FC, Maughan WL, et al. Estimation of central aortic pressure waveform by mathematical transformation of radial tonometry pressure. Validation of generalized transfer function. Circulation. 1997;95(7):1827–36.

    Article  CAS  PubMed  Google Scholar 

  13. Guala A, Tosello F, Leone D, Sabia L, D'Ascenzo F, Moretti C, et al. Multiscale mathematical modeling vs. the generalized transfer function approach for aortic pressure estimation: a comparison with invasive data. Hypertens Res. 2018. https://doi.org/10.1038/s41440-018-0159-5.

    Article  PubMed  Google Scholar 

  14. Millasseau S, Agnoletti D. Non-invasive estimation of aortic blood pressures: a close look at current devices and methods. Curr Pharm Des. 2015;21:709–18.

    Article  CAS  PubMed  Google Scholar 

  15. Sharman JE, Avolio AP, Baulmann J, et al. Validation of non-invasive central blood pressure devices: ARTERY society task force consensus statement on protocol standardization. Eur Heart J. 2017;38(37):2805–12.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Romano SM, Chiostri M, Pistolesi M, Gensini GF, Viroli L, Castellani W, et al. The reconstruction of the waveform in the ascending aorta derived from the finger measured non invasively. Med Biol Eng Comput. 1999;37:319–20 abstract book - congress presentation.

    Google Scholar 

  17. Romano SM, Pistolesi M. Assessment of cardiac output from systemic arterial pressure in humans. Crit Care Med. 2002;30(8):1834–41.

    Article  PubMed  Google Scholar 

  18. Kleinman B, Powell S, Kumar P, Gardner RM. The fast flush test measures the dynamic response of the entire blood pressure monitoring system. Anesthesiology. 1992;77(6):1215–20.

    Article  CAS  PubMed  Google Scholar 

  19. Romagnoli S, Franchi F, Ricci Z, Scolletta S, Payen D. The pressure recording analytical method (PRAM): technical concepts and literature review. J Cardiothorac Vasc Anesth. 2017;31(4):1460–70.

    Article  PubMed  Google Scholar 

  20. Gardner RM. Direct blood pressure measurement: dynamic response requirements. Anesthesiology. 1981;54:227–36.

    Article  CAS  PubMed  Google Scholar 

  21. Romano SM. Cardiac cycle efficiency: a new parameter able to fully evaluate the dynamic interplay of the cardiovascular system. Int J Cardiol. 2012;155(2):326–7.

    Article  PubMed  Google Scholar 

  22. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10.

    Article  CAS  PubMed  Google Scholar 

  23. Karamanoglu M, O'Rourke MF, Avolio AP, Kelly RP. An analysis of the relationship between central aortic and peripheral upper limb pressure waves in man. Eur Heart J. 1993;14(2):160–7.

    Article  CAS  PubMed  Google Scholar 

  24. Pauca AL, O'Rourke MF, Kon ND. Prospective evaluation of a method for estimating ascending aortic pressure from the radial artery pressure waveform. Hypertension. 2001;38(4):932–7.

    Article  CAS  PubMed  Google Scholar 

  25. Pauca AL, Kon ND, O'Rourke MF. The second peak of the radial artery pressure wave represents aortic systolic pressure in hypertensive and elderly patients. Br J Anaesth. 2004;92(5):651–7.

    Article  CAS  PubMed  Google Scholar 

  26. Avolio AP, Van Bortel LM, Boutouyrie P, Cockcroft JR, McEniery CM, Protogerou AD, et al. Role of pulse pressure amplification in arterial hypertension: experts' opinion and review of the data. Hypertension. 2009;54(2):375–83.

    Article  CAS  PubMed  Google Scholar 

  27. Agnoletti D, Zhang Y, Borghi C, Blacher J, Safar ME. Effects of antihypertensive drugs on central blood pressure in humans: a preliminary observation. Am J Hypertens. 2013;26(8):1045–52.

    Article  CAS  PubMed  Google Scholar 

  28. McEniery CM, Yasmin MDB, Munnery M, Wallace SM, Rowe CV, Cockcroft JR, et al. Central pressure: variability and impact of cardiovascular risk factors: the Anglo-Cardiff collaborative trial II. Hypertension. 2008;51(6):1476–82.

    Article  CAS  PubMed  Google Scholar 

  29. Kostapanos M, McEniery CM, Wilkinson IB. Clinical relevance of central blood pressure - a critical review. Vasa. 2016;45(6):451–60.

    Article  PubMed  Google Scholar 

  30. Mitchell GF, Hwang SJ, Larson MG, Hamburg NM, Benjamin EJ, Vasan RS, et al. Transfer function-derived central pressure and cardiovascular disease events: the Framingham heart study. J Hypertens. 2016;34(8):1528–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Cheng HM, Lang D, Tufanaru C, Pearson A. Measurement accuracy of non-invasively obtained central blood pressure by applanation tonometry: a systematic review and meta-analysis. Int J Cardiol. 2013;167(5):1867–76.

    Article  PubMed  Google Scholar 

  32. Romagnoli S, Ricci Z, Quattrone D, Tofani L, Tujjar O, Villa G, et al. Accuracy of invasive arterial pressure monitoring in cardiovascular patients: an observational study. Crit Care. 2014;18(6):644.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Greco E, Peruzzi M, Biondi-Zoccai G, Frati G, Romano SM. Heart rate reduction with esmolol is associated with improved arterial elastance in patients with septic shock: a prospective observational study. Intensive Care Med. 2016;42(10):1528–34.

    Article  PubMed  Google Scholar 

  34. Li Y, Gu H, Fok H, Alastruey J, Chowienczyk P. Forward and backward pressure waveform morphology in hypertension. Hypertension. 2017;69(2):375–81.

    Article  CAS  PubMed  Google Scholar 

  35. Monge Garcia MI, Jian Z, Settels JJ, Hatib F, Cecconi M, Pinsky MR. Reliability of effective arterial elastance using peripheral arterial pressure as surrogate for left ventricular end-systolic pressure. J Clin Monit Comput. 2018;Dec 14. https://doi.org/10.1007/s10877-018-0236-y.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

None.

Funding

This study was supported by no funding.

Author information

Authors and Affiliations

  1. Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium

    Sabino Scolletta, Antoine Herpain, Fabio Silvio Taccone, Katia Donadello, Keitiane Michele Kaefer, Jean-Louis Vincent & Daniel De Backer

  2. Department of Heart and Vessels, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy

    Salvatore Mario Romano

  3. Department of Interventional Neuroradiology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium

    Boris Lubicz

  4. Department of Medicine, Surgery and Neurosciences, Anesthesia and Intensive Care Unit, University Hospital of Siena, Siena, Italy

    Sabino Scolletta & Federico Franchi

  5. Anesthesia and Intensive Care B, Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, AOUI, University Hospital Integrated Trust of Verona, Verona, Italy

    Katia Donadello & Enrico Polati

  6. Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium

    Daniel De Backer

Authors
  1. Sabino Scolletta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antoine Herpain
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Salvatore Mario Romano
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fabio Silvio Taccone
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Katia Donadello
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Boris Lubicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Federico Franchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Keitiane Michele Kaefer
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Enrico Polati
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jean-Louis Vincent
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Daniel De Backer
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SS and DDB designed the study. AH, FST, KD, BL, KMK and FF collected and analyzed the data. SS, FST, FF, SMR, DDB, and JLV interpreted the data and wrote the manuscript. EP and KD contributed to review the manuscript. FF and SMR performed the statistical analysis. SS takes the full responsibility for the integrity of the work. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Sabino Scolletta.

Ethics declarations

Ethics approval and consent to participate

The Erasme University Hospital Ethics Committee approved the study (number P2011/077) and written informed consent was obtained from all patients.

Consent for publication

We have not images entirely unidentifiable and no details on individuals reported within the manuscript.

Competing interests

SM Romano is the inventor and the patent holder of the Pressure Recording Analytical Method (PRAM).

S. Scolletta received lecture fees and research grants from Vygon and Edwards Lifesciences. F. Franchi received lecture fees from Vygon.

The other authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Table S1. Individual values of central aortic pressure, peripheral pressure and aortic reconstructed pressure. Figure S1. Correlations between systolic (SAPao), diastolic (DAPao) and mean (MAPao) arterial pressure recorded in the aorta and those recorded in the radial artery (SAPperipheral, DAPperipheral, MAPperipheral). Dotted lines represented the 95% confidence intervals. Table S2. Differences between arterial pressures recorded in the aorta and those recorded in the radial artery. Table S3. Linear regression of measured and reconstructed central arterial pressure values. Table S4. Numbers of patients with > 10 mmHg differences between central and reconstructed pressures. Table S5. Arterial blood pressure according to norepinephrine therapy. Table S6. Arterial blood pressure according to the presence of chronic hypertension, defined as hypertension in antihypertensive therapy. Table S7. Arterial blood pressure according to the presence of subarachnoid hemorrage (SAH) on admission. Table S8. Arterial blood pressure according to patient sex. (DOCX 133 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Scolletta, S., Herpain, A., Romano, S.M. et al. Estimation of central arterial pressure from the radial artery in patients undergoing invasive neuroradiological procedures. BMC Anesthesiol 19, 173 (2019). https://doi.org/10.1186/s12871-019-0844-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12871-019-0844-1

Keywords

BMC Anesthesiology

ISSN: 1471-2253

Contact us