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Am J Physiol Heart Circ Physiol 285: H614-H620, 2003. First published April 10, 2003; doi:10.1152/ajpheart.00823.2002
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Contribution of systemic vascular resistance and total arterial compliance to effective arterial elastance in humans

Denis Chemla,1,2 Isabelle Antony,3 Yves Lecarpentier,1 and Alain Nitenberg3

1Service de Physiologie Cardio-Respiratoire, Centre Hospitalier Universitaire de Bicêtre, Assistance Publique-Hôpitaux de Paris, 94 275 Le Kremlin-Bicêtre; 2Unité Propre de l'Enseignement Supérieur 2705, Université Paris Sud 11, 92 141 Clamart; and 3Service de Physiologie et d'Explorations Fonctionnelles, Centre Hospitalier Universitaire Jean Verdier, Assistance Publique-Hôpitaux de Paris, Université Paris 13, 93 143 Bondy, France

Submitted 13 September 2002 ; accepted in final form 3 April 2003


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The respective contribution of systemic vascular resistance (R) and total arterial compliance (C) to the arterial load remains to be established in humans. Effective arterial elastance (Ea), i.e., the left ventricular end-systolic pressure (LVESP)-over-stroke volume ratio, is a reliable estimate of arterial load. It is widely accepted that Ea mainly relates to mean aortic pressure (MAP) and thus to the R-to-T ratio (R/T ratio), where T is cycle length. We tested the contribution of R/T and 1/C to Ea in 20 normotensive and 46 hypertensive subjects (MAP range: 84–160 mmHg). The multilinear model applied (Ea = 1.00R/T + 0.42/C – 0.04; r2 = 0.97). The sensitivity of Ea to a change in R/T was 2.5 times higher than to a similar change in 1/C in both normotensive and hypertensive adults. The LVESP was more strongly related to systolic aortic pressure (SAP; r2 = 0.94) than to MAP (r2 = 0.83), and LVESP matched 90% SAP (bias = 0 ± 5mmHg). An alternative model of Ea is proposed, in which Ea is proportional to the heart rate x SAP product-over-cardiac index ratio whatever the MAP.

rate-pressure product; cardiac index; ventriculoarterial coupling; pulse pressure; cardiac cycle length


INCREASED SYSTEMIC VASCULAR RESISTANCE (R) and decreased total arterial compliance (C) both contribute to the high arterial load in hypertensive patients (14, 27, 33). However, the respective contribution of R and C to the arterial load remains to be established in humans. A precise and complete description of the left ventricular (LV) afterload (i.e., hydraulic load) is provided by the input impedance spectra of the systemic circulation (21, 24), but this complex approach is not feasible in practice. Sunagawa et al. (3840) have proposed an alternative assessment of hydraulic load, namely, effective arterial elastance (Ea). On the basis of the windkessel model, Ea is a steady-state arterial parameter that incorporates peripheral resistance, characteristic impedance, and total lumped arterial compliance and that also incorporates systolic and diastolic time intervals (3840). Ea is commonly approximated by the steady-state LVESP-to-SV ratio, where LVESP is the end-systolic pressure and SV is the stroke volume. Since the pioneer work of Kelly et al. (19), which confirmed the clinical applicability of this concept in humans, Ea has been used to quantify arterial load throughout aging (6, 8), in hypertensive patients (7, 19, 25, 32), and in various forms of cardiac diseases (1, 2, 9).

Initial studies have suggested that Ea is poorly affected by changes in C and that Ea may be satisfactorily approximated by the R-to-T ratio (R/T ratio), where T is the cardiac cycle length (3840). More recent studies have shown that the R/T ratio underestimates Ea in humans with stiff vasculature (e.g., hypertensive or aged subjects) (7, 8, 19). It is now widely accepted that Ea lumps the steady and pulsatile components of arterial load in a concise way, but the precise contribution of R and C to Ea remains to be established in humans.

Recently, Segers et al. (34) used a mathematical heart-arterial interaction model to study the effects of changes in R and C on Ea. They found that Ea was linearly related to R/T and 1/C and that R/T contributed about three times more to Ea than 1/C. The first aim of the present study was to test the hypothesis that Ea could also be described by a multilinear function of R/T and 1/C in humans and to document the respective contribution of R and C to Ea in normotensive and hypertensive adults.

In an attempt to simplify the assessment of Ea, the following aortic pressures have been used as surrogates for LVESP: mean aortic pressure (MAP) (3840) and aortic notch pressure (2, 9, 15, 18), and empirical formulas based on systolic (SAP) and diastolic aortic pressures (DAP), namely, the (2SAP + DAP)/3 formula (19, 29) and the 0.9SAP formula (6, 19). The second aim of our study was to investigate which aortic pressure was the strongest hemodynamic correlate of LVESP. Our results indicated that LVESP was most strongly related to SAP, and the physiological implications for the Ea model are discussed.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Study population. The study population was composed of normotensive control subjects (n = 20) and hypertensive patients (n = 46). Hypertensive patients had a well-established history of elevated blood pressure >140/90 mmHg, with at least four sets of readings taken at 1-wk intervals. Control subjects had a systolic blood pressure <140 mmHg and a diastolic blood pressure <90 mmHg. All subjects were referred for the diagnosis of chest pain and evidenced an abnormal or equivocal treadmill test or single-photon emission computed tomographic stress scintigraphy. All subjects underwent coronary arteriography, and only subjects with coronary artery stenosis <=30% at coronary arteriography were included in the study. Patients with valvular heart disease or diabetes mellitus were excluded from the study. The characteristics of the study population are listed in Table 1. All subjects gave informed consent, and the study was approved by our institution.


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Table 1. Characteristics of the study population

 

Catheterization procedure. All patients were in the fasting state for >=12 h before the procedure. All treatments were discontinued at least 3 wk before cardiac catheterization with the exception of short-acting nitrates. No premedication was administered, and 1% lidocaine was used for local anesthesia. A 15-min delay was observed after documentation of nonsignificant coronary artery stenosis to eliminate the effects of contrast material. Thereafter, simultaneous recordings of LV pressure and aortic pressure were obtained using a 7-Fr double-tipped micromanometer angiographic catheter (Sentron, Cordis Laboratory; Roden, The Netherlands) (3), as previously described (1, 25). The catheter was placed through a femoral artery with a 7-Fr sheath. The distance between the two high-fidelity transducers was 10 cm. Aortic pressure was recorded above the aortic cusps. Heart rate (HR), aortic pressures, LV end-diastolic pressure, and LVESP were calculated with the use of a catheterization data-analysis computer system (Hewlett-Packard 5600 M; Andover, MA), which performed on-line analysis on nine beats for averaging out respiratory variations. Aortic pulse pressure (PP) was calculated as SAP minus DAP. MAP (range: 84–160 mmHg) was automatically calculated as the area under the pressure curve divided by T. Aortic end-ejection pressure was measured at the trough of the incisura (dicrotic notch). Aortic mean ejection pressure was defined as the systolic pressure area (from pressure upstroke to dicrotic notch) divided by the LV ejection time. LV angiography (50 frames/s) was performed in a 30° right anterior oblique projection (35 ml nonionic contrast medium, 12 ml/s) with simultaneous recording of LV pressure (paper speed 200 mm/s) and a frame marker.

Data analysis and calculations. LV end-diastolic volume and end-systolic volume (ESV) were calculated from monoplane angiograms by means of the area-length method (11). LV SV and ejection fraction were calculated using standard formulas. The LVESP was the pressure corresponding to the separation of the aortic and LV pressure curves recorded simultaneously. Ea was calculated as LVESP divided by SV (19). The SV-to-PP ratio was calculated as an estimate of C (5, 10, 13), and its reciprocal, i.e., the PP-to-SV ratio, was calculated as an estimate of total arterial stiffness (12, 42). R was calculated as MAP divided by cardiac output (SV x HR). For comparative purposes (biological scaling), SV was normalized for body surface area in the calculation of Ea, R, and C.

Effective arterial elastance: theoretical background. In the two-element windkessel model, the governing equation in the frequency domain is as follows

where Zin is the input impedance, j is , and {omega} is the circular frequency (21). More simple, time-domain indexes of systemic vascular load have been recently proposed. Assuming that the systemic arteries can be considered an elastic chamber, the effective volume elastance Ea is the slope of the linear relationship between aortic end-systolic pressure and SV (3840). If one assumes that end-systolic pressure can be approximated by end-ejection pressure, that end-ejection pressure matches mean ejection pressure, and that the intercept with the pressure axis is small enough to be negligible, the three-element windkessel model of arterial circulation predicts the following equations (3840)

where RT is the sum of characteristic impedance and peripheral resistance; tS and tD are the systolic and diastolic time periods, respectively; and {tau} is the diastolic pressure decay time constant ({tau} = RC). With the use of this approach, LVESP is uniquely determined by arterial properties, time intervals, and SV, independently of how SV is generated, i.e., without the need to take into account the preload and inotropic state (30, 3840). In cases where {tau} is long compared with tD ({tau} >> tD), then the denominator of the LVESP reduces to tS + tD = T, and thus Ea = RT/T (19).

The LV can also be considered as an elastic chamber, the end-systolic elastance (Ees) of which is the slope of the LVESP – (ESV – Vo) relationship, where Vo is the volume intercept (36, 37). Given similar dimensions for Ea and Ees (mmHg/ml), this framework allows rational analysis of the ventriculoarterial coupling in a concise way. Assuming similar LV and aortic pressure at end systole, the operating point of the coupled equilibrium between LV and arterial system is located at the intersection of the LVESP-ESV and LVESP-SV relationships in the pressure-volume plane (3640).

In animals, previous studies have confirmed the linearity of the LVESP-SV relationships obtained in various experimental conditions, thus allowing the precise calculation of Ea. In humans, serial SV assessment in various loading conditions is not easy to obtain without changing LV contractility. Therefore, Ea is currently calculated as the steady-state LVESP-over-SV ratio, assuming a linear LVESP-SV relationship and negligible pressure intercept (19)

Given that experimental studies have shown that MAP was close to LVESP, the following equation has been proposed (3840)

Assuming negligible downstream pressure, and consistent with the calculations based on the three-element windkessel model, Sunagawa et al. (3840) have proposed a redundant formalism of the latter equation

where R is expressed in mmHg · m2 · s · ml1. However, in humans, LVESP is usually higher than MAP. Thus Cohen-Solal et al. (7, 8) have proposed the following equation

where represents the increment of pressure above MAP at end systole divided by SV

The component is increased in humans with stiff vasculature (i.e., aged and hypertensive subjets) (79, 19), but no analytic model relating Ea, , and C has been yet proposed in humans.

Very recently, Segers et al. (34) used a mathematical heart-arterial interaction model to precisely quantify the respective contribution of R and C to Ea. Systemic arterial load was described by a four-element windkessel model in which 121 possible combinations of R and C were simulated, together with fixed values for total inertance and characteristic impedance (34). The authors found that Ea was linearly related (r2 = 0.99) to R/T and 1/C according to the following equation

The applicability of this model remains to be demonstrated in humans.

Finally, in an attempt to simplify the calculation of Ea in humans, various LVESP estimates/surrogates have been used, namely, MAP (9, 39, 40), aortic notch pressure (2, 9, 15, 18), the (2SAP + DAP)/3 formula (19, 29), and the 0.9SAP formula (6, 19).

Statistical analysis. Data are expressed as means ± SD. ANOVA was used for overall comparisons between groups. Regressions were obtained using the least squares method. The following LVESP estimates were tested: MAP, aortic notch pressure, aortic mean ejection pressure, (2SAP + DAP)/3, and 0.9SAP. In each case, the bias (i.e., estimate – LVESP) ± SD was calculated. A P value of <0.05 was considered significant.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The clinical characteristics of the study population are listed in Table 1. There were no differences between controls and hypertensive patients regarding these characteristics, although HR was slightly higher in hypertensive patients (P = 0.054). As expected, aortic pressures and LVESP were higher in hypertensive patients than in controls (Table 2). Mean aortic and systolic pressure were strongly related (r2 = 0.75). The higher MAP and similar cardiac index resulted in higher R in hypertensive patients than in controls, whereas the similar stroke index and higher PP resulted in lower C. The higher LVESP and similar stroke index resulted in higher Ea in hypertensive patients than in controls (Table 3). Univariate analysis showed a positive linear correlation between Ea and R/T (Ea = 1.28R/T + 0.43, r2 = 0.89) and 1/C [Ea = (0.96/C) + 1.28, r2 = 0.62] (each P < 0.001). No relationship was found between Ea and HR (r2 = 0.03) or age (r2 = 0.02).


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Table 2. Aortic and LV end-systolic pressures

 

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Table 3. Indexes of arterial load and time intervals

 

R/T as an estimate of Ea. The R/T ratio significantly underestimated Ea (Fig. 1, left, and Table 4). The (EaR/T) difference (i.e., ) was higher in hypertensive patients than in normotensive subjects (P < 0.001) (Table 3). The steady, R/T component of arterial load accounted for a lower percentage of Ea in hypertensive patients (77 ± 5%) than in controls (81 ± 5%) (P < 0.02; Table 3). The unsteady, component of arterial load accounted for a higher percentage of Ea in hypertensive patients (19 ± 5%) than in controls (23 ± 5%) (P < 0.02; Table 3). Among all the clinical and hemodynamic variables studied, 1/C was the one most strongly related to (r2 = 0.82), such that R/T closely approximated Ea for large C values only (Fig. 1, right).



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Fig. 1. Influence of R/T (where R is systemic vascular resistance and T is cycle length) and 1/C (where C is total arterial compliance) on effective arterial elastance (Ea) in normotensive subjects (n = 20) and hypertensive patients (n = 46). Left: linear relationship between R/T and Ea in normotensive subjects and hypertensive patients. Ea = 1.28R/T + 0.01 (r2 = 0.89, P < 0.001). The R/T ratio significantly underestimated Ea, especially in hypertensive patients. Right: the (EaR/T) bias (termed ) was most strongly related to arterial stiffness (1/C) according to the equation (R/TEa) = –0.42/C + 0.04 (r2 = 0.82, P < 0.001).

 

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Table 4. Ea estimates and the corresponding bias (estimate — Ea) in controls and hypertensives

 

Respective contribution of R/T and 1/C to Ea and to . After the inclusion of 1/C in the model, multiple linear regression analysis yielded the following relation

A similar regression line was obtained when raw data were used instead of body surface area-normalized values of Ea, R, and C. Thus, in the overall population, the combined influences of R/T and 1/C explained 97% of the variability of Ea. The sensitivity of Ea to a change in R/T was 2.5 times higher than to a similar change in 1/C. The true Ea was precisely estimated using the multilinear model (Fig. 2, left), and the bias (i.e., formula – true Ea) was similar in controls and hypertensive patients (Table 4). Assuming that (–0.04) is small enough to be negligible, the multilinear model implies that can be described by the following equation in resting humans and over a wide MAP range



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Fig. 2. Left: Ea as a multilinear function of R/T and 1/C in normotensive subjects (n = 20) and hypertensive patients (n = 46; r2 = 0.97, P < 0.001). Right: redundant formalism of Ea relating arterial load to the rate-pressure product [heart rate (HR) x systolic aortic pressure (SAP)]-over-cardiac index (CI) ratio (r2 = 0.98, P < 0.001).

 

Hemodynamic correlates of LVESP. The LVESP was strongly related to SAP (LVESP = 0.91SAP – 2 mmHg, r2 = 0.94, P < 0.001), and the equation line was close to the 0.9SAP empirical estimate of LVESP previously proposed (19). The LVESP was related to MAP (LVESP = 1.22MAP + 7 mmHg, r2 = 0.83, P < 0.001), to aortic notch pressure (LVESP = 0.67aortic notch pressure + 28 mmHg, r2 = 0.71, P < 0.001), and to aortic mean ejection pressure (LVESP = 1.07mean ejection pressure – 1 mmHg, r2 = 0.85, P < 0.001). The LVESP was also positively related to DAP (r2 = 0.41) and PP (r2 = 0.48) (each P < 0.001).

Empirical estimates of LVESP. The empirical formula (LVESP = 0.9SAP) gave an accurate estimate of LVESP [bias = 0 ± 5 mmHg, P = not significant (NS)], and the bias was similar in normotensive subjects (bias = 2 ± 5 mmHg) and in hypertensive patients (bias = 0 ± 6 mmHg; P = NS). All other empirical estimates significantly underestimated LVESP (each P < 0.001). The bias was higher in hypertensive patients than in normotensive subjects for MAP (–37 ± 9 vs. –23 ± 11 mmHg), aortic notch pressure (–26 ± 13 vs. –12 ± 5 mmHg), aortic mean ejection pressure (–12 ± 8 vs. 0 ± 6 mmHg), and the empirical formula LVESP = (2SAP + DAP)/3 (–13 ± 4 vs. –6 ± 7 mmHg) (each P < 0.001).

Implications for the Ea model. The following estimate was shown to be accurate over a wide pressure range

By dividing both sides of this equation by the SV index (SVI), we obtain

By multiplying the numerator and denominator by HR, we obtain

where HR x SAP is the rate-pressure product and CI is the cardiac index. The true Ea was precisely estimated using this formula (Fig. 2, right), and the bias (i.e., formula – true Ea) was similar in controls and hypertensive patients (Table 4). Thus, in the study population, and over a wide MAP range (84–160 mmHg), there was a simple, proportional relation between the effective Ea and the ratio of the rate-pressure product divided by the cardiac index.


    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Our study shows that Ea can be precisely described by a multilinear function of R/T and 1/C in humans. In both normotensive subjects and hypertensive patients, the sensitivity of Ea to a change in R/T was 2.5 times higher than to a similar change in 1/C. It was also demonstrated that the most accurate estimate of LVESP was 0.9SAP. This implies that Ea is proportional to the rate-pressure product-over-cardiac index ratio whatever the prevailing aortic pressure.

The R/T ratio significantly underestimates Ea in hypertensive subjects because of an important additional influence of pulsatile impedance load related to decreased arterial compliance (7, 8, 19). The (EaR/T) difference, namely, , reflects the pulsatile component of Ea (79, 19). In hypertensive patients, Cohen-Solal et al. (7) have reported that is augmented proportionally more than R/T, although the latter largely predominates in determining Ea quantitatively, and our findings are fairly consistent with their results (Table 3). However, partitioning Ea into a steady (R/T) and a pulsatile () component does not allow us to precisely quantify the respective contribution of R and C to Ea.

Recently, using a mathematical heart-arterial interaction model in which the systemic circulation was described by a four-element windkessel model, Segers et al. (34) reported that Ea was linearly related to R/T and to 1/C according to the following equation: Ea = 1.023R/T + 0.314/C – 0.127 (r2 = 0.99). In our study, by use of a two-element windkessel model of the systemic arterial circulation in humans and over a wide MAP range (84–160 mmHg), Ea was accurately described according to the following equation: Ea = 1.00R/T + 0.42/C – 0.04 (in mmHg · m2 · ml1, r2 = 0.97). The consistency between our clinical study and previous theoretical results (34) is thus excellent, and we feel that this strengthens the clinical relevance of the model.

Considering that aortic pressure is a continuous variable, we found that a single multilinear function of R/T and 1/C meaningfully described Ea in both normotensive and hypertensive patients. Thus the sensitivity of Ea to a change in R/T was 2.5 times higher than to similar change in 1/C whatever the prevailing MAP in humans. Assuming that the (–0.04) factor was small enough to be negligible, we also found that matched (0.42/C) in both normotensive and hypertensive subjects. As C is lower (the 1/C ratio is higher) in hypertensives than in normotensive subjects, our model was consistent with higher and higher impedance load related to decreased C in hypertensives (Refs. 7, 8, and 19 and Table 3).

The two-element (RC) windkessel model is a linear model that does not incorporate the influences of wave transmission characteristics and implies an absence of wave reflection. This may be a limitation in hypertensive patients, in whom a weak but significant relationship has been previously reported between Ea and the extent of wave reflections (32). Conversely, a previous theoretical study (34) has shown that Ea is not necessarily related to the characteristics of wave reflections. Furthermore, the ability of the RC model to accurately describe the mechanical properties of the arterial system with a limited number of parameters and in various pathophysiological conditions has been stressed (24, 28, 35).

It is widely accepted that Ea mainly depends on MAP and SV, and thus the R/T ratio, given obvious redundancy in hemodynamic formulas. This implies that LVESP must be strongly related to MAP. However, in our study, LVESP was more strongly related to SAP (r2 = 0.94) than to MAP (r2 = 0.83). The advantage of relating arterial load to SAP rather than to MAP is that SAP incorporates the influences of peripheral resistance, arterial compliance, and wave reflections (27). Several studies, including the present one, have documented a strong linear relationship between MAP and SAP, thus suggesting the major role of increased peripheral resistance and small artery vascular tone on the increased SAP in hypertensive patients (14). Furthermore, in patients with stiff vasculature, both reduced arterial compliance and increased wave reflections result in a rise in late-peaking systolic pressure that may unfavorably load the still-ejecting LV (22, 27).

The LVESP-to-SV ratio is a hemodynamic parameter per se, and therefore Ea may not necessarily relate to the windkessel model. Thus we tested the possibility that an alternative model may be proposed to describe Ea. Taking advantage of certain redundancy in hemodynamic formulas, we demonstrated that Ea is proportional to the rate-pressure product-over-cardiac index ratio whatever the prevailing aortic pressure (Fig. 2, right). For a given level of cardiac contractility, the rate-pressure product reflects the myocardial oxygen demand (4, 16, 41), and our results thus argue in favor of a fixed relationship among the arterial load, cardiac index, and myocardial oxygen demand, a point that deserves confirmation.

Several aortic pressures have been proposed as surrogates for LVESP in an attempt to simplify the clinical assessment of Ea and Ees. To the best of our knowledge, our study is the first to critically evaluate these pressure surrogates in a significant number of subjects (n = 66) and over a wide pressure range. Mean pressure, notch pressure, mean ejection pressure, and the (2SAP + DAP)/3 formula significantly underestimated LVESP, the bias being higher in hypertensive patients than in normotensive subjects in all cases. Conversely, 0.9SAP gave a reliable estimate of LVESP whatever the prevailing aortic pressure. The 0.9SAP formula has been previously shown to give an accurate estimate of LVESP in four young normotensive and six older hypertensive subjects studied at rest and after preload reduction and pharmacological interventions (19). Given that the subjects in the present study were free of aortic stenosis and hypertrophic cardiomyopathy, our finding is also in keeping with previous results showing that 1) peak LV pressure is usually achieved close to the volume point of minimal LV volume (11, 37); 2) peak LV pressure and LVESP are close in magnitude, although they occur at different points in time (17, 31); and 3) LV peak systolic pressure can be used instead of LVESP to calculate LV Ees with reasonably good accuracy (20, 26).

The main clinical implication is that 0.9SAP may provide the most accurate estimate of LVESP, and this may improve the noninvasive calculation of Ea and Ees by using aplanation tonometry. Conversely, other empirical LVESP estimates must not be used, especially in hypertensive patients. Importantly, the 0.9SAP approximation applies strictly to central pressure recordings and not to brachial artery pressure, given the physiological increases in systolic pressure observed from the aorta to periphery (pulse wave amplification phenomenon) (27).

The limitations of our study must be discussed. Although some authors have suggested that the SV-to-PP ratio overestimates C (for a review, see Ref. 5), we (5) have recently reported that the bias between the SV-to-PP ratio and C (calculated using the so-called area method) was 0.03 ± 0.15 ml/mmHg in 31 subjects. In the present study, R, C, and Ea were calculated using widely used, standard formulas, in which the influences of downstream (zero flow) pressure were not taken into account. Further studies are needed to test the potential effects of changes in downstream pressure on the relationship among R, C, and Ea. For an invasive, high-fidelity pressure study, the number of normotensive and hypertensive subjects was likely to be sufficient to justify the conclusions drawn from the data. Finally, the results pertain strictly to the population under study, and data were obtained at rest. Improving our understanding of resting hemodynamics is an important goal of clinical research, because hypertension is a risk factor for increased morbidity and mortality (23). Further studies are needed to confirm our study in dynamic conditions and after pharmacological interventions.

In conclusion, in normotensive subjects and hypertensive patients, Ea can be precisely described by a multilinear function of R/T and 1/C. The sensitivity of Ea to a change in R/T was 2.5 times higher than to a similar change in 1/C. This confirms previous theoretical modeling and gives a valuable representation of the function of the arterial circulation as a mechanical load. Furthermore, the most accurate estimate of LVESP was 0.9SAP. This implies that a complementary aspect of the ventriculoarterial coupling might be proposed, in which Ea is proportional to the HR x SAP product-over-cardiac index ratio whatever the prevailing aortic pressure.


    FOOTNOTES
 

Address for reprint requests and other correspondence: D. Chemla, Service d'Explorations Fonctionnelles Cardio-Respiratoires, Université de Paris XI, Hôpital de Bicêtre, 94 275 Le Kremlin-Bicêtre Cedex, France (E-mail: denis.chemla{at}bct.ap-hop-paris.fr).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Arnoult F, Loiseau A, Aptecar E, Loisance D, and Nitenberg A. Ventriculoarterial coupling and left ventricular efficiency in heart transplant recipients. Transplantation 64: 617–626, 1997.[ISI][Medline]
  2. Asanoi HS, Sasayama S, and Kameyama T. Ventriculoarterial coupling in normal and failing heart. Circ Res 65: 488–493, 1989.
  3. Aubert AE, Vrolix M, de Geest H, and van de Herf F. In vivo comparison between two tip pressure transducer systems. Int J Clin Monit Comput 12: 77–83, 1995.[ISI][Medline]
  4. Berne RM and Levy MN. The arterial system. In: Physiology, edited by Berne RM and Levy MN. St. Louis, MO: Mosby, 1998, p. 415–428.
  5. Chemla D, Hébert J-L, Coirault C, Zamani K, Suard I, Colin P, and Lecarpentier Y. Total arterial compliance estimated by the stroke volume-to-aortic pulse pressure ratio in humans. Am J Physiol Heart Circ Physiol 274: H1287–H1295, 1998.
  6. Chen C-H, Nakayama M, Talbot M, Nevo E, Fetics B, Gerstenblith G, Becker LC, and Kass D. Verapamil acutely reduces ventricular-vascular stiffening and improves aerobic exercise performance in elderly individuals. J Am Coll Cardiol 33: 1602–1609, 1999.[Abstract/Free Full Text]
  7. Cohen-Solal A, Caviezel B, Himbert D, and Gourgon R. Left ventricular-arterial coupling in systemic hypertension: analysis by means of arterial effective and left ventricular elastances. J Hypertens 12: 591–600, 1994.[ISI][Medline]
  8. Cohen-Solal A, Caviezel B, Laperche T, and Gourgon R. Effects of aging on left ventricular-arterial coupling in man: assessment by means of arterial effective and left ventricular elastances. J Hum Hypertens 10: 111–116, 1996.[ISI][Medline]
  9. Colin P, Slama M, Vahanian A, Lecarpentier Y, Motté G, and Chemla D. Hemodynamic correlates of effective arterial elastance before and after balloon valvotomy. J Appl Physiol 83: 1083–1089, 1997.[Abstract/Free Full Text]
  10. Dart AM and Kingwell BA. Pulse pressure–a review of mechanisms and clinical relevance. J Am Coll Cardiol 37: 975–984, 2001.[Abstract/Free Full Text]
  11. Dodge HT, Sandler H, Baxley WA, and Hawley RR. Usefulness and limitations of radiographic methods for determining left ventricular volume. Am J Cardiol 18: 10–24, 1966.[ISI][Medline]
  12. Dustan HP. Atherosclerosis complicating chronic hypertension. Circulation 50: 871–879, 1974.[Abstract/Free Full Text]
  13. Ferguson JJ and Randall OS. Hemodynamic correlates of arterial compliance. Cathet Cardiovasc Diagn 12: 1496–1500, 1986.
  14. Folkow B. Physiological aspects of hypertension. Physiol Rev 32: 3447–3504, 1982.
  15. Grossman W, Braunwald E, Mann T, McLaurin T, and Green LH. Contractile state of the left ventricle in man as evaluated from end-systolic pressure-volume relations. Circulation 56: 845–852, 1977.[Abstract/Free Full Text]
  16. Gobel FL, Norstrom RR, Jorgensen CR, and Wang Y. The rate-pressure product as an index of myocardial oxygen consumption during exercise in patients with angina pectoris. Circulation 57: 549–556, 1978.[Abstract/Free Full Text]
  17. Horwitz LD and Bishop VS. Left ventricular pressure-dimension relationships in the conscious dog. Cardiovasc Res 6: 163–171, 1972.[ISI][Medline]
  18. Kelly RP, Karamanoglu M, Gibbs H, and O'Rourke M. Noninvasive carotid pressure wave registration as an indicator of ascending aortic pressure. J Vasc Med Biol 1: 241–247, 1989.
  19. Kelly RP, Ting C-T, Yang T-M, Liu C-P, Maughan WL, Chang M-S, and Kass DA. Effective arterial elastance as index of arterial vascular load in humans. Circulation 86: 513–521, 1992.[Abstract/Free Full Text]
  20. Kono A, Maughan WL, Sunagawa K, Hamilton K, Sagawa K, and Weisfeldt ML. The use of left ventricular end-ejection pressure and peak pressure in the estimation of the end-systolic pressure-volume relationship. Circulation 70: 1057–1065, 1984.[Abstract/Free Full Text]
  21. Milnor WR. Hemodynamics. Baltimore, MD: William and Wilkins, 1982, p. 390.
  22. Murgo JP, Westerhof N, Giolma JP, and Altobelli SA. Aortic input impedance in normal man: relationships to pressure waveform. Circulation 65: 105–115, 1980.
  23. National High Blood Pressure Education Working Group. Report on the primary prevention of hypertension. Arch Intern Med 153: 186–208, 1993.[ISI][Medline]
  24. Nichols W and O'Rourke MF (editors). Input impedance as ventricular load. In: McDonald Blood Flow in the Arteries. Theoretical, Experimental and Clinical Principles (4th ed.). London: Arnold, 1998, p. 285–293.
  25. Nitenberg A, Antony I, and Loiseau A. Left ventricular contractile performance, ventriculoarterial coupling, and left ventricular hypertrophy in hypertensive patients with left ventricular hypertrophy. Am J Hypertens 11: 1188–1198, 1998.[ISI][Medline]
  26. Nivatpumin T, Katz S, and Scheuer J. Peak left ventricular systolic pressure/end-systolic volume ratio: a sensitive detector of left ventricular disease. Am J Cardiol 43: 969–974, 1979.[ISI][Medline]
  27. O'Rourke M. Mechanical principles in arterial disease. Hypertension 26: 2–9, 1995.[Free Full Text]
  28. Quick CM, Young WL, and Noordergraaf A. Infinite number of solutions to the hemodynamic inverse problem. Am J Physiol Heart Circ Physiol 280: H1472–H1479, 2001.[Abstract/Free Full Text]
  29. Rinder MR, Miller TR, and Ehsani AA. Effects of endurance training on left ventricular systolic performance and ventriculoarterial coupling in patients with coronary artery disease. Am Heart J 138: 169–174, 1999.[ISI][Medline]
  30. Robotham JL, Takata M, Berman M, and Harasawa Y. Ejection fraction revisited. Anesthesiology 74: 172–183, 1991.[ISI][Medline]
  31. Rushmer RF and West TC. Role of autonomic hormones on left ventricular performance continuously analyzed by electronic computers. Circ Res 5: 240–250, 1957.[Abstract/Free Full Text]
  32. Saba PS, Roman MJ, Ganau A, Pini R, Jones EC, Pickering TG, and Devereux RB. Relationship of effective arterial elastance to demographic and arterial characteristics in normotensive and hypertensive adults. J Hypertens 13: 971–977, 1995.[ISI][Medline]
  33. Segers P, Stergiopulos N, Westerhof N. Quantification of the contribution of cardiac and arterial remodeling to hyeprtension. Hypertension 36: 760–765, 2000.[Abstract/Free Full Text]
  34. Segers P, Stergiopulos N, and Westerhof N. Relation of effective arterial elastance to arterial system properties. Am J Physiol Heart Circ Physiol 282: H1041–H1046, 2002.[Abstract/Free Full Text]
  35. Stergiopulos N and Westerhof N. Determinants of pulse pressure. Hypertension 32: 556–559, 1998.[Abstract/Free Full Text]
  36. Suga H. Ventricular energetics. Physiol Rev 70: 247–277, 1990.[Free Full Text]
  37. Suga H and Sagawa K. Instantaneous pressure-volume relationships and their ratio in the excised, supported canine left ventricle. Circ Res 35: 117–126, 1974.[Abstract/Free Full Text]
  38. Sunagawa K, Maughan WL, Burkhoff D, and Sagawa K. Left ventricular interaction with arterial load studied in isolated canine ventricle. Am J Physiol Heart Circ Physiol 245: H773–H780, 1983.[Abstract/Free Full Text]
  39. Sunagawa K, Maughan WL, and Sagawa K. Optimal arterial resistance for the maximal stroke work studied in isolated canine left ventricle. Circ Res 56: 586–595, 1985.[Abstract/Free Full Text]
  40. Sunagawa K, Sagawa K, and Maughan WL. Ventricular interaction with the loading system. Ann Biomed Eng 12: 163–189, 1984.[ISI][Medline]
  41. Takaoka H, Takeuchi M, Odake M, Hayashi Y, Hata K, Mori M, and Yokoyama M. Comparison of hemodynamic determinants for myocardial oxygen consumption under different contractile states in human ventricle. Circulation 87: 59–69, 1993.[Abstract/Free Full Text]
  42. Ventura H, Messerli FH, Oigman W, Dsuarez DH, Dreslinski GR, Dunn FG, Reisin E, and Frohlich ED. Impaired systemic arterial compliance in borderline hypertension. Am Heart J 108: 132–136, 1984.[ISI][Medline]



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