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J Appl Physiol 83: 1799-1813, 1997;
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Vol. 83, Issue 6, 1799-1813, December 1997

Coupled vs. uncoupled pericardial constraint: effects on cardiac chamber interactions

Masao Takata, Yasuhiko Harasawa, Sadek Beloucif, and James L. Robotham

Pathophysiology Research, National Children's Medical Research Center, Tokyo 154; Division of Cardiology, Kyushu University Hospital, Fukuoka 812-82, Japan; and Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland 21205

ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
APPENDIX
ACKNOWLEDGEMENTS
FOOTNOTES
REFERENCES


ABSTRACT

Takata, Masao, Yasuhiko Harasawa, Sadek Beloucif, and James L. Robotham. Coupled vs. uncoupled pericardial constraint: effects on cardiac chamber interactions. J. Appl. Physiol. 83(6): 1799-1813, 1997.---The effects of pericardial constraint on cardiac chamber interactions were evaluated by mathematical model analyses based on a novel concept of coupled vs. uncoupled pericardial constraint. We hypothesized that the nature of pericardial constraint can be classified as a "coupled" constraint exerted by uniform liquid pressure or an "uncoupled" constraint exerted by regional surface pressure. The numerical solution of the model of atrioventricular interaction produced the characteristic waveforms in venous flows and right atrial/ventricular pressures in classical pericardial diseases. Coupled constraint accounted for the patterns in cardiac tamponade; uncoupled constraint accounted for those in constrictive pericarditis. Analytic solution of the model of ventricular interdependence demonstrated that coupled constraint (tamponade) produced greater gains in ventricular interdependence, increasing the occurrence of pulsus paradoxus, whereas uncoupled constraint (constriction) produced a greater effective right ventricular elastance, increasing the likelihood of Kussmaul's sign. Thus the concept of coupled vs. uncoupled constraint may offer a coherent framework to understand the characteristic steady-state and respiratory-induced hemodynamic events in multiple forms of pericardial diseases.

atrioventricular interaction; constrictive pericarditis; model; tamponade; venous return; ventricular interdependence


INTRODUCTION

CARDIAC CHAMBERS are physically linked to each other, hydrodynamically connected by blood flows, and situated in a space limited by the juxtacardiac structures. Filling and emptying of one cardiac chamber are thus influenced by changes in volume or pressure of other chambers. The pericardium has been shown to modulate such cardiac chamber interactions (13): the vertical interaction between an atrium and the corresponding ventricle within a cardiac cycle, i.e., atrioventricular interaction (4), and the horizontal interaction between the two ventricles, i.e., ventricular interdependence (6, 21). However, the mechanism whereby the pericardium in disease states influences such cardiac chamber interactions has not been well characterized.

The differences in hemodynamic profiles between cardiac tamponade and constrictive pericarditis have fascinated clinicians and physiologists for many years. There are classic observations of differences in vascular pressure waveforms in pericardial diseases, i.e., a prominent x-descent in atrial pressure with tamponade (18, 23) vs. a large y-descent in atrial pressure and a "dip-and-plateau" pattern in ventricular pressure with constriction (19, 23). Recent studies demonstrated that venous flow waveforms, normally biphasic with one peak during ventricular systole and the other during ventricular diastole (2, 25, 27), are also altered in pericardial diseases. With tamponade, we found in dogs that venous flows become mainly systolic with an almost absent diastolic flow (4), consistent with Doppler flow velocity studies in humans (3, 5, 8, 11). With constriction, an enhanced diastolic venous flow with a relatively small systolic component was observed by Doppler studies in humans (5, 8, 9, 11). These findings suggest that the manner in which the pericardium constrains the heart may be quite different between tamponade and constriction, despite similarly increased pericardial pressure. The differences in venous pressure and flow waveforms may be related to the unique nature of pericardial constraint in each pathology and its influence on atrioventricular interaction.

In addition to those steady-state pressure and flow changes, it has been well documented in the literature that respiratory-induced hemodynamic signs are manifested differently in cardiac tamponade and constrictive pericarditis. Pulsus paradoxus, i.e., an inspiratory decrease in arterial pressure associated with a decrease in left ventricular stroke volume, is observed much more often in tamponade than in constriction (22). Conversely, Kussmaul's sign, i.e., a paradoxical inspiratory increase in right atrial pressure, is occasionally associated with constriction but rarely with tamponade (18, 19). Respiration produces large changes in right heart volume due to an inspiratory increase in systemic venous return (25, 27), which then decrease left heart filling via ventricular interdependence, leading to pulsus paradoxus (7, 17). Thus it seems a reasonable assumption that the status of ventricular interdependence is different in nature or degree between tamponade and constriction. The specific manner of pericardial constraint and its effects on ventricular interdependence possibly could explain the differences in incidence of Kussmaul's sign in the two forms of pericardial diseases.

The goals of the present study are to better understand the characteristic hemodynamic signs in pericardial diseases and, more generally, to develop a conceptual framework characterizing the influence of the pericardial constraint on cardiac chamber interactions. We hypothesized that the nature of the pericardial constraint may be classified as one of two types: 1) a "coupled" constraint exerted by uniform liquid pressure over the heart (e.g., cardiac tamponade), which couples changes in all cardiac chamber volumes, and 2) an "uncoupled" constraint exerted by regional surface pressure over the heart (e.g., constrictive pericarditis), which independently restricts each chamber volume. On the basis of this hypothesis, the effects of coupled vs. uncoupled pericardial constraint on cardiac chamber interactions were studied by use of mathematical model analyses. Flow-mediated atrioventricular interaction was studied with a numerical model and computer simulation, whereas pressure-mediated ventricular interdependence was evaluated with an analytic model and symbolic mathematical analysis. The results suggest that the construct of coupled vs. uncoupled pericardial constraint may offer a physiological rationale to interpret the differences in the hemodynamic profiles of cardiac tamponade and constrictive pericarditis and provide insights necessary to develop better diagnostic and therapeutic strategies.


GLOSSARY

Model of atrioventricular interaction

Cp Pulmonary arterial capacitance
Cv Systemic venous capacitance
Epe Pericardial elastance over RA and RV for coupled constraint
Epera Pericardial elastance over RA for uncoupled constraint
Eperv Pericardial elastance over RV for uncoupled constraint
Era Time-varying elastance of RA
Eramax Maximum elastance of RA
Eramin Minimum elastance of RA
Erv Time-varying elastance of RV
Ervmax Maximum elastance of RV
Ervmin Minimum elastance of RV
Lv Systemic venous inertance
Pd Downstream pressure source
Pp Pressure at the pulmonary arterial capacitance
Ppe Pericardial pressure over RA and RV for coupled constraint
Ppera Pericardial pressure over RA for uncoupled constraint
Pperv Pericardial pressure over RV for uncoupled constraint
Pra RA pressure
Pratm Transmural RA pressure
Prv RV pressure
Prvtm Transmural RV pressure
Pu Upstream pressure source
Pv Pressure at the systemic venous capacitance
PRI P-R interval
 Qp Pulmonary arterial flow
 Qt Tricuspid flow
 Qv Combined vena caval flow
Rpd Distal pulmonary arterial resistance
Rpp Proximal pulmonary arterial resistance
Rt Transtricuspid valve resistance
Rvd Distal systemic venous resistance
Rvp Proximal systemic venous resistance
RA Right atrium
RV Right ventricle
T Cardiac cycle time
Tmaxra Contraction time of RA
Tmaxrv Contraction time of RV
Vra Volume of RA above its unstressed volume
Vrv Volume of RV above its unstressed volume
Vtotal Total right heart volume above its unstressed volume

Model of ventricular interdependence

Elvf Elastance of LV free wall
Epe Pericardial elastance over LV and RV for coupled constraint
Epelv Pericardial elastance over LV for uncoupled constraint
Eperv Pericardial elastance over RV for uncoupled constraint
Epetotal Elastance of the total pericardium surrounding both ventricles
Erveff Effective RV elastance with interdependence
Ervf Elastance of RV free wall
Es Elastance of the septum
GP Right-to-left pressure interdependence gain
GV Right-to-left volume interdependence gain
LV Left ventricle
Plv LV pressure
Ppe Pericardial pressure over LV and RV for coupled constraint
Ppelv Pericardial pressure over LV for uncoupled constraint
Pperv Pericardial pressure over RV for uncoupled constraint
Prv RV pressure
Vlv Volume of LV
Vlvf Volume of LV when transseptal pressure is zero
Vrv Volume of RV
Vrvf Volume of RV when transseptal pressure is zero
Vs Volume contribution of the septal shift to either ventricle when transseptal pressure is not zero


METHODS

Concept of Coupled vs. Uncoupled Pericardial Constraint

To characterize the nature of the pericardial constraint, we have utilized a classic concept in pulmonary mechanics, i.e., surface vs. liquid pressure (1, 16, 24, 26). Surface pressure is a force per unit area acting on a surface and equals the sum of any liquid pressure and any deformational forces produced locally by the apposition of two surfaces. When the pericardial pressure is a pure liquid pressure produced by a liquid column in the pericardial space, the pressure over all cardiac chambers is homogeneous. Any change in the pressure over one chamber will affect the pressure over all other chambers effectively instantaneously. In contrast, when there is no liquid column or it is not of sufficient volume, the heart surface is macroscopically in contact with the pericardium. The resultant pericardial surface pressure is essentially of regional nature, such that the pressure on each chamber may not be equal in a short period of time. Changes in pericardial pressure over a particular area of the heart are determined mainly by local events occurring within that area.

On the basis of this reasoning, we classified the nature of pericardial constraint as 1) a coupled constraint exerted by uniform pericardial liquid pressure over all four cardiac chambers or 2) an uncoupled constraint produced by independent and different local pericardial surface pressures over each cardiac chamber. The essence of this concept is that a coupled constraint restricts the volumes of four cardiac chambers together, whereas an uncoupled constraint independently restricts the volume of each cardiac chamber. The present study evaluates how such differences in the nature of pericardial constraint can be predicted to modify the status of cardiac chamber interactions.

Numerical Approach: Model of Atrioventricular Interaction

Analyses of vertical cardiac chamber interactions require consideration of direct flow interaction between an atrium and the corresponding ventricle through the atrioventricular valve and time-varying elastic properties of the chambers within a cardiac cycle. To evaluate the effects of coupled vs. uncoupled pericardial constraint on atrioventricular interaction, we developed an open-loop mathematical model of the right heart circulation. Numerical solution of the model was performed by computer simulation, and the results were compared with the experimental data in the literature regarding steady-state venous pressure and flow waveforms in pericardial diseases.

Model description. The model is a lumped, linear parameter, open-loop model including all elements of right heart circulation (Fig. 1). The right atrium (RA) and ventricle (RV) were characterized as time-varying elastances (Era and Erv) (10, 14, 20), which relate the transmural pressure (relative to pericardial pressure) to the stressed volume of each chamber. The preloading and afterloading systems to the right heart were modeled on the basis of the impedance, rather than steady-state, characteristics of each vasculature. The systemic venous system was modeled by an upstream pressure source (Pu) and a four-element venous impedance network, including a capacitance (Cv), an inertance (Lv), and two resistances (Rvd and Rvp) (20). The pulmonary arterial system consists of a three-element windkessel impedance network, including a capacitance (Cp) and two resistances (Rpp and Rpd), and a downstream pressure source (Pd). Two one-way valves, represented by diodes in Fig. 1, were interposed between Era and Erv (tricuspid valve) and between Erv and the pulmonary arteries (pulmonic valve). A resistance placed between Era and Erv represents transtricuspid valve resistance (Rt). The driving force for flow in the model is provided by two mechanisms: a pressure gradient between Pu and Pd and active periodic increases in Era and Erv with the two competent valves.
Fig. 1. Electrical analog of numerical model of atrioventricular interaction. See Glossary for definition of abbreviations. A coupled pericardial constraint was modeled by addition of a single external elastance (Epe) over Era and Erv; an uncoupled pericardial constraint was modeled by addition of 2 different external elastances (Epera and Eperv) on Era and Erv, respectively.
[View Larger Version of this Image (25K GIF file)]

A coupled pericardial constraint was modeled by adding a single external elastance (Epe) over Era and Erv (Fig. 1). In this situation, a single charge pressure (Ppe) of Epe influences Era and Erv, simulating a uniform pericardial liquid pressure that restricts the RA and RV volumes simultaneously. An uncoupled pericardial constraint was modeled by adding two different external elastances (Epera and Eperv) on Era and Erv (Fig. 1). The charge pressure of Epera (Ppera) acts only on the RA; the charge pressure of Eperv (Pperv) influences only the RV. This simulates different regional pericardial surface pressures that individually restrict the RA and RV volumes.

The behavior of this model can be characterized by sets of differential state equations as described below. A detailed mathematical description is provided in the APPENDIX (Mathematical description of the numerical model).

With the coupled constraint
P<SUB>v</SUB> = <FR><NU>1</NU><DE>C<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> <FENCE><FR><NU>P<SUB>u</SUB> − P<SUB>v</SUB></NU><DE>R<SUB>vd</SUB></DE></FR> − <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB></FENCE> d<IT>t</IT> (1a)
<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> = <FR><NU>1</NU><DE>L<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> (P<SUB>v</SUB> − P<SUB>ra</SUB> − R<SUB>vp</SUB> ⋅ <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB>)d<IT>t</IT> (1b)
P<SUB>ra</SUB> = P<SUB>pe</SUB> + E<SUB>ra</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>)d<IT>t</IT> (1c)
P<SUB>rv</SUB> = P<SUB>pe</SUB> + E<SUB>rv</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (1d)
P<SUB>p</SUB> = <FR><NU>1</NU><DE>C<SUB>p</SUB></DE></FR> <LIM><OP>∫</OP></LIM> <FENCE><A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB> − <FR><NU>P<SUB>p</SUB> − P<SUB>d</SUB></NU><DE>R<SUB>pd</SUB></DE></FR></FENCE> d<IT>t</IT> (1e)
P<SUB>pe</SUB> = E<SUB>pe</SUB> <LIM><OP>∫</OP></LIM>(<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (1f )
With the uncoupled constraint
P<SUB>v</SUB> = <FR><NU>1</NU><DE>C<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> <FENCE><FR><NU>P<SUB>u</SUB> − P<SUB>v</SUB></NU><DE>R<SUB>vd</SUB></DE></FR> − <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB></FENCE> d<IT>t</IT> (2a)
<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> = <FR><NU>1</NU><DE>L<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> (P<SUB>v</SUB> − P<SUB>ra</SUB> − R<SUB>vp</SUB> ⋅ <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB>)d<IT>t</IT> (2b)
P<SUB>ra</SUB> = P<SUB>pe<SUB>ra</SUB></SUB> + E<SUB>ra</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>)d<IT>t</IT> (2c)
P<SUB>rv</SUB> = P<SUB>pe<SUB>rv</SUB></SUB> + E<SUB>rv</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (2d)
P<SUB>p</SUB> = <FR><NU>1</NU><DE>C<SUB>p</SUB></DE></FR> <LIM><OP>∫</OP></LIM> <FENCE><A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB> − <FR><NU>P<SUB>p</SUB> − P<SUB>d</SUB></NU><DE>R<SUB>pd</SUB></DE></FR></FENCE> d<IT>t</IT> (2e)
P<SUB>pe<SUB>ra</SUB></SUB> = E<SUB>pe<SUB>ra</SUB></SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>)d<IT>t</IT> (2f )
P<SUB>pe<SUB>rv</SUB></SUB> = E<SUB>pe<SUB>rv</SUB></SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (2g)
where tricuspid flow (Qt) and pulmonary flow (Qp) are given by the following equations that define the status of the tricuspid and pulmonic valves.

When Pra >=  Prv
<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> = <FR><NU>P<SUB>ra</SUB> − P<SUB>rv</SUB></NU><DE>R<SUB>t</SUB></DE></FR>  (valve open) (3a)
and Pra < Prv
<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> = 0  (valve closed) (3b)
When Prv >=  Pp
<A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB> = <FR><NU>P<SUB>rv</SUB> − P<SUB>p</SUB></NU><DE>R<SUB>pp</SUB></DE></FR>  (valve open) (3c)
and Prv < Pp
<A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB> = 0  (valve closed) (3d)

Numerical solution of the model. Numerical solutions of the above equations can be performed on a computer if all the parameters and initial conditions of the state variables are given. We incorporated experimental data available in the literature whenever possible to assign specific values for the cardiac and vascular parameters (Table 1). Details of the justification of these values are included in the APPENDIX (Parameter justification and sensitivity analysis for the numerical model). Time-varying properties of Era and Erv were modeled by use of cosine functions (10, 14, 20) to periodically increase from minimum diastolic values to maximum end-systolic values (Fig. 2).

Table  1.   Baseline parameter values used in simulation
Abbreviations Values

Systemic venous impedance
Rvd (mmHg · s · ml-1) 4
Rvp (mmHg · s · ml-1) 0.14
Cv (ml/mmHg) 6.1
Lv (mmHg · s2 · ml-1) 0.007
Pulmonary arterial impedance
Rpp (mmHg · s · ml-1) 0.2
Rpd (mmHg · s · ml-1) 0.8
Cp (ml/mmHg) 1.2
Right heart parameters
Rt (mmHg · s · ml-1) 0.025
Eramax (mmHg/ml) 1.2
Eramin (mmHg/ml) 0.6
Tmaxra (s) 0.12
Ervmax (mmHg/ml) 4
Ervmin (mmHg/ml) 0.4
Tmaxrv (s) 0.18
T (s) 0.6
PRI (s) 0.12

See Glossary for definition of abbreviations.


Fig. 2. Time-varying elastances of right atrium and ventricle as functions of time defined in numerical model. Era and Erv were modeled by use of modified cosine functions.
[View Larger Version of this Image (13K GIF file)]

When 0 <=  tra <=  2Tmaxra
E<SUB>ra</SUB> = E<SUB>ra<SUB>min</SUB></SUB> + <FR><NU>E<SUB>ra<SUB>max</SUB></SUB> − E<SUB>ra<SUB>min</SUB></SUB></NU><DE>2</DE></FR> <FENCE>1 − cos <FR><NU>&pgr; ⋅ <IT>t</IT><SUB>ra</SUB></NU><DE><IT>T</IT><SUB>max<SUB>ra</SUB></SUB></DE></FR></FENCE> (4a)
and 2Tmaxra <=  tra <=  T
E<SUB>ra</SUB> = E<SUB>ra<SUB>min</SUB></SUB> (4b)
When 0 <=  trv <=  2Tmaxrv
E<SUB>rv</SUB> = E<SUB>rv<SUB>min</SUB></SUB> + <FR><NU>E<SUB>rv<SUB>max</SUB></SUB> − E<SUB>rv<SUB>min</SUB></SUB></NU><DE>2</DE></FR> <FENCE>1 − cos <FR><NU>&pgr; ⋅ <IT>t</IT><SUB>rv</SUB></NU><DE><IT>T</IT><SUB>max<SUB>rv</SUB></SUB></DE></FR></FENCE> (4c)
and 2Tmaxrv <=  trv <=  T
E<SUB>rv</SUB> = E<SUB>rv<SUB>min</SUB></SUB> (4d)
where tra and trv represent a given time after the start of a contraction of the RA and RV until the next contraction and T is the cardiac cycle time (reciprocal of heart rate). The heart rate was set at 100 beats/min with a delay time of 0.12 s between the RA and RV contraction (P-R interval).

Equations 1-4 were programmed and solved on a Macintosh computer (Apple Computer, Cupertino, CA) by use of a general purpose simulation software (Extend, Imagine That, San Jose, CA). The modified Euler method was used for integration with a simulation step of 0.002 s (500 Hz). On each step, the valve status was checked and modified according to Eq. 3. A simulation run of at least 45,000 steps (90 s) was performed to achieve a steady state.

Simulation protocols. The control condition with no pericardial constraint was simulated by assigning an effectively nil value (e.g., 0.001 mmHg/ml) for the pericardial elastances. The initial values for the state variables and the values of Pu and Pd were adjusted to best approximate the normal pressure and flow patterns with an end-diastolic RV pressure of ~5 mmHg, observed in our canine experiments (4, 25, 27). The pericardial elastances (Epe in coupled constraint; Epera and Eperv in uncoupled constraint) were then incrementally increased from the level comparable to Eramin or Ervmin to the level 10 times larger, i.e., from 0.5, 1.0, and 2.5 to 5.0 mmHg/ml. Pu and Pd were adjusted such that the end-diastolic RV pressure increased in 2- to 3-mmHg increments along with increases in the pericardial elastances (Table 2). Changes in all hemodynamic variables were calculated, including combined vena caval flow (Qv), tricuspid flow (Qt), volumes of the RA and RV above their unstressed volumes (Vra and Vrv), and total right heart volume above its unstressed volume (Vtotal = Vra + Vrv). Systolic-diastolic distribution of Qv was analyzed by calculating the ratio of diastolic to systolic venous inflow volumes into the RA (D/S <LIM><OP>∫</OP></LIM>Qv ratio), as used in our previous study of tamponade in vivo (4). The contribution of RA contraction to RV filling was evaluated by the ratio of the two peaks in Qt, i.e., the ratio of the peak in atrial A wave to that in rapid filling E wave (A/E Qt ratio). Systole and diastole were defined with reference to the atrioventricular volume transfer: diastole as the time when the tricuspid valve is open (i.e., Qt > 0), and systole as including the periods of isovolumic contraction and relaxation. Systole and diastole refer to ventricular events unless specified as atrial.

Table  2.   Changes in D/S int Qv ratio and A/E Qt ratio with increases in pericardial constraint
Pu, mmHg Pd, mmHg Prv,* mmHg Cardiac Outputdagger D/S int Qv Ratio A/E Qt Ratio

Control condition   (no elastances) 50 5 4.5 100 0.92 0.72
Coupled constraint
  Epe = 0.5 mmHg/ml 40 5 7.0 73 0.62 0.59
  Epe = 1.0 mmHg/ml 35 13 10.2 57 0.22 0.58
  Epe = 2.5 mmHg/ml 30 14 12.5 39  -0.02 0.52
  Epe = 5.0 mmHg/ml 27 17 14.3 28  -0.04 0.55
Uncoupled constraint
  Epera = Eperv = 0.5     mmHg/ml 40 5 6.5 75 1.44 0.56
  Epera = Eperv = 1.0     mmHg/ml 35 13 9.6 58 1.53 0.49
  Epera = Eperv = 2.5     mmHg/ml 30 14 13.0 40 3.51 0.38
  Epera = Eperv = 5.0     mmHg/ml 27 17 16.4 25 11.15 0.07

D/S int Qv ratio, ratio of diastolic to systolic venous inflow volumes into RA; A/E Qt ratio, ratio of peak in A wave to peak in E wave in Qt. * Values at end-diastole. dagger Expressed as relative values (control value = 100%). With increases in pericardial elastances, values for Pu and Pd were adjusted by approximately equal increments to produce desired changes in RV end-diastolic pressure.

The model contains a large number of parameters, which may substantially influence the simulation results. We therefore performed an extensive analysis regarding the relative impact of changes in cardiac and vascular parameter values (other than pericardial elastances) on the simulation results, particularly the steady-state venous pressure and flow waveforms. Details of the sensitivity analysis for the parameters are included in the APPENDIX (Parameter justification and sensitivity analysis for the numerical model).

Analytic Approach: Model of Ventricular Interdependence

Horizontal cardiac chamber interactions can be considered as pressure-mediated phenomena, because direct flow interaction is not present between the two side-by-side chambers. Therefore, we constructed a simple analytic model of ventricular interdependence in which the effects of coupled vs. uncoupled pericardial constraint on ventricular interdependence can be directly assessed by symbolic mathematical analysis. The results were extrapolated to interpret manifestations of the two classical respiratory-induced hemodynamic signs in pericardial diseases.

Model description. The model was based on a volume elastance model of ventricular interdependence described by Maughan et al. (15) (Fig. 3). The left ventricle (LV) and RV were assumed to consist of three volume elastances: LV free wall (Elvf), RV free wall (Ervf), and septum (Es). Thus the volume of the LV or RV (Vlv or Vrv) has free wall (Vlvf or Vrvf) and septal (Vs) components. Vlvf and Vrvf are defined as the volumes of the LV and RV when the transseptal pressure, i.e., LV pressure (Plv) minus RV pressure (Prv), is zero with the septum in an unstressed neutral position. Vs is defined as the volume contribution of the septal shift to either ventricle when the transseptal pressure is not zero. In this model, all myocardium-mediated interactions, including transseptal as well as transcommon fiber interactions, are conceptually integrated into the interaction through the septal elastance (15). Coupled and uncoupled pericardial constraints were modeled as additional volume elastances (Fig. 3), similar to the model of atrioventricular interaction. With a coupled constraint, Elvf and Ervf shared a single external elastance (Epe) and a uniform pericardial liquid pressure (Ppe). With an uncoupled constraint, two different external elastances (Epelv and Eperv) and regional pericardial surface pressures (Ppelv and Pperv) were added over Elvf and Ervf independently.
Fig. 3. Schematic illustration of analytic model of ventricular interdependence. With a coupled pericardial constraint, both ventricles were assumed to share a single external elastance (Epe) and a uniform pericardial liquid pressure (Ppe). With an uncoupled constraint, 2 different external elastances (Epelv and Eperv) and regional pericardial surface pressures (Ppelv and Pperv) were added over each ventricle independently.
[View Larger Version of this Image (33K GIF file)]

Analytic solution of the model. By analytically solving the model, it is possible to directly characterize the "status" of ventricular interdependence as functions of ventricular and pericardial elastances. Details of the mathematical solution are included in the APPENDIX (Mathematical description of the analytic model). Briefly, the following three interdependence parameters were derived: right-to-left volume interdependence gain (GV)
G<SUB>V</SUB> = <FR><NU>∂P<SUB>lv</SUB></NU><DE>∂V<SUB>rv</SUB></DE></FR> (5a)
right-to-left pressure interdependence gain (GP)
G<SUB>P</SUB> = <FR><NU>∂P<SUB>lv</SUB></NU><DE>∂P<SUB>rv</SUB></DE></FR> = <FR><NU>∂P<SUB>lv</SUB></NU><DE>∂V<SUB>rv</SUB></DE></FR> <FENCE> </FENCE><FR><NU>∂P<SUB>rv</SUB></NU><DE>∂V<SUB>rv</SUB></DE></FR> (5b)
and effective RV elastance with interdependence (Erveff)
E<SUB>rv<SUB>eff</SUB></SUB> = <FR><NU>∂P<SUB>rv</SUB></NU><DE>∂V<SUB>rv</SUB></DE></FR> (5c)
GV and GP represent the degree of ventricular interdependence in right-to-left direction, equivalent to "cross-talk gains" defined by Maughan et al. (15). As GV or GP becomes larger, a given increase in right heart volume or pressure will produce a greater increase in left heart pressure. Erveff is different from the conventional simple RV elastance, because it includes influences of the left heart. This index should be viewed as the effective elastance of the combined RV and LV seen from the systemic venous port, under conditions when ventricular interdependence is present. As Erveff becomes larger, a given increase in right heart volume will produce a greater increase in right heart pressure. These interdependence parameters are useful to theoretically predict how frequently pulsus paradoxus or Kussmaul's sign may be manifest with increases in coupled vs. uncoupled constraint (see Pericardial Constraint and Respiratory-Induced Hemodynamic Signs).

Protocols for quantitative assessment. To quantitatively compare the effects of coupled with uncoupled constraint on these interdependence parameters, a set of values was first assigned for ventricular elastances to fix the influences of myocardium-mediated interdependence. Pericardial elastances (Epe in coupled constraint; Epelv and Eperv in uncoupled constraint) were then incrementally increased, and changes in the interdependence parameters were numerically calculated and compared between the two constraint conditions.

Elvf and Ervf were set at 0.5 mmHg/ml on the basis of the studies with an isolated canine heart preparation (14, 20). Maughan et al. (15) showed that Es is 7-15 times larger than the free wall elastances, and relative stiffness of the septum to free walls plays an important role in determining the cross-talk gains. Therefore, baseline Es was set at 5.0 mmHg/ml, and situations with lesser (Es = 2.5 mmHg/ml) or greater (Es = 10 mmHg/ml) values of Es were also studied. Under each of the three situations, Epe or Epelv and Eperv were increased, with the rate of increase adjusted for appropriate comparison between the coupled and uncoupled constraint conditions. Epe represents the behavior of the total pericardium, whereas Epelv or Eperv reflects only each regional portion of the pericardium. If the elastance of the total pericardium surrounding both ventricles (Epetotal) were the same in the two constraint conditions, we would assume that the elastic constraining capability of the pericardium would be similar but the manner of constraint would be different. Thus Epe or Epelv and Eperv were increased to achieve the same value of Epetotal. Because Epetotal can be given as
<FR><NU>1</NU><DE>E<SUB>pe<SUB>total</SUB></SUB></DE></FR> = <FR><NU>1</NU><DE>E<SUB>pe</SUB></DE></FR>  (coupled constraint) (6a)
<FR><NU>1</NU><DE>E<SUB>pe<SUB>total</SUB></SUB></DE></FR> = <FR><NU>1</NU><DE>E<SUB>pe<SUB>lv</SUB></SUB></DE></FR> + <FR><NU>1</NU><DE>E<SUB>pe<SUB>rv</SUB></SUB></DE></FR>  (uncoupled constraint) (6b)
Epelv and Eperv were increased two times more than Epe, with the assumption that Epelv and Eperv equal each other in Eq. 6b.


RESULTS

Results of Numerical Approach

Under the control condition with no pericardial constraint, the simulated flows and pressures well approximated the characteristics of normal venous flows and pressures (4, 25, 27) (Fig. 4A). Qv exhibited a biphasic pattern, with the systolic component larger than the diastolic component. Qt showed a large rapid-filling E wave with a smaller atrial A wave. Pra had the systolic x- and diastolic y-descents, and Prv showed little change during diastole. The simulated Vra, Vrv, and Vtotal were also consistent with expected changes in those volumes during a cardiac cycle (Fig. 5A). Vra increased at middiastole, corresponding with the diastolic component of Qv. Vrv showed an increase during diastole, corresponding with the A wave in Qt.
Fig. 4. Typical simulation traces in numerical model showing changes in Qv, Qt, Pra, and Prv with increases in pericardial constraint. A: control condition with no pericardial elastance; B: increased coupled constraint; C: increased uncoupled constraint. S, ventricular systole; D, ventricular diastole; E, rapid filling wave in tricuspid flow; A, atrial contraction component in tricuspid flow; x, x-descent in right atrial pressure; y, y-descent in right atrial pressure.
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Fig. 5. Typical simulation traces in numerical model showing changes in Vra, Vrv, and Vtotal during a cardiac cycle. A: control condition with no pericardial constraint; B: increased coupled constraint; C: increased uncoupled constraint. S, ventricular systole; D, ventricular diastole.
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With an increased coupled constraint (Figs. 4B and 5B), Qv became a predominantly systolic flow with only a small diastolic component. Pra showed a prominent x-descent with a small y-descent. Consistent with the change in Qv, Vra and Vrv changed almost reciprocally during a cardiac cycle. Vrv retained its biphasic pattern during diastole with an increasing phase due to the RA contraction. Vtotal was minimum at midsystole but almost constant from end systole to end diastole. In contrast, with an increased uncoupled constraint (Figs. 4C and 5C), Qv became a predominantly diastolic flow. The A wave in Qt was markedly attenuated. The y-descent in Pra was prominent with a small x-descent, and Prv exhibited a steep transient decrease at early diastole followed by a relatively unchanged portion in late diastole, i.e., a dip-and-plateau pattern. Vra showed only a small change during a cardiac cycle. Vrv became monophasic during diastole with a minimal increase due to the RA contraction.

Figure 6 illustrates relationships of Prv, transmural Prv (relative to pericardial pressure), and pericardial pressure (Ppe or Pperv) to the increased coupled or uncoupled constraint. Under both conditions, most of Prv during diastole is attributable to the pericardial pressure, with a small contribution from the transmural Prv. With the increased coupled constraint, Ppe showed a transient decrease at midsystole but had returned to its end-diastolic level at end systole, i.e., a pattern similar to the changes seen in Vtotal. With the increased uncoupled constraint, Pperv showed its maximum at end diastole and minimum at end systole with a waveform similar to Vrv. Only the uncoupled constraint produced a "dip" in Prv in early diastole.


Fig. 6. Simulation traces in numerical model showing relationships among Prv, transmural Prv, and pericardial pressure during a cardiac cycle. S, ventricular systole; D, ventricular diastole.
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Table 2 summarizes changes in the D/S <LIM><OP>∫</OP></LIM>Qv and A/E Qt ratios with increases in pericardial constraint. Under the control condition, the D/S <LIM><OP>∫</OP></LIM>Qv ratio was 0.92 with an A/E Qt ratio of 0.72. With increases in coupled constraint, D/S <LIM><OP>∫</OP></LIM>Qv ratio decreased; i.e., the systolic flow became dominant. The A/E Qt ratio showed a small decrease but remained >0.5. With an Epe of >2.5 mmHg/ml, the D/S <LIM><OP>∫</OP></LIM>Qv ratio was nearly zero, indicating almost absent diastolic flow in Qv. With increases in uncoupled constraint, the D/S <LIM><OP>∫</OP></LIM>Qv ratio increased and the A/E Qt ratio decreased. With Epera and Eperv of 5.0 mmHg/ml, the D/S <LIM><OP>∫</OP></LIM>Qv ratio exceeded 10, indicating that the systolic component was less than one-tenth of the diastolic component in Qv. The A/E Qt ratio was only 0.07, consistent with the markedly attenuated A wave in Qt.

Results of Analytic Approach

The analytic solution of the model yielded the following formulas for the interdependence parameters (see APPENDIX, Mathematical description of the analytic model).

With no pericardial constraint
G<SUB>V</SUB> = <FR><NU>E<SUB>lvf</SUB> ⋅ E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> (7a)
G<SUB>P</SUB> = <FR><NU>E<SUB>lvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB></DE></FR> (7b)
E<SUB>rv<SUB>eff</SUB></SUB> = <FR><NU>(E<SUB>s</SUB> + E<SUB>lvf</SUB>)E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> (7c)
With the coupled constraint
G<SUB>V</SUB> = <FR><NU>E<SUB>lvf</SUB> ⋅ E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> + E<SUB>pe</SUB> (8a)
G<SUB>P</SUB> = <FENCE><FR><NU>E<SUB>lvf</SUB> ⋅ E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> + E<SUB>pe</SUB></FENCE>
<FENCE> </FENCE><FENCE><FR><NU>(E<SUB>s</SUB> + E<SUB>lvf</SUB>)E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> + E<SUB>pe</SUB></FENCE> (8b)
E<SUB>rv<SUB>eff</SUB></SUB> = <FR><NU>(E<SUB>s</SUB> + E<SUB>lvf</SUB>)E<SUB>rvf</SUB></NU><DE>E<SUB>s</SUB> + E<SUB>lvf</SUB> + E<SUB>rvf</SUB></DE></FR> + E<SUB>pe</SUB> (8c)
With the uncoupled constraint
G<SUB>V</SUB> = <FR><NU>(E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB>)(E<SUB>rvf</SUB> + E<SUB>pe<SUB>rv</SUB></SUB>)</NU><DE>E<SUB>s</SUB> + (E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB>) + (E<SUB>rvf</SUB> + E<SUB>pe<SUB>rv</SUB></SUB>)</DE></FR> (9a)
G<SUB>P</SUB> = <FR><NU>E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB></NU><DE>E<SUB>s</SUB> + (E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB>)</DE></FR> (9b)
E<SUB>rv<SUB>eff</SUB></SUB> = <FR><NU>[E<SUB>s</SUB> + (E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB>)](E<SUB>rvf</SUB> + E<SUB>pe<SUB>rv</SUB></SUB>)</NU><DE>E<SUB>s</SUB> + (E<SUB>lvf</SUB> + E<SUB>pe<SUB>lv</SUB></SUB>) + (E<SUB>rvf</SUB> + E<SUB>pe<SUB>rv</SUB></SUB>)</DE></FR> (9c)
Thus, GV, GP, and Erveff would increase as the pericardial elastances increase with the coupled or uncoupled constraint. However, as evident in Eqs. 8 and 9, the manner in which the pericardial elastances affect these parameters was quite different between the two conditions. Epe increases GV, GP, and Erveff in a totally different fashion from any of ventricular elastances, whereas Epelv and Eperv increase them in a manner essentially similar to the free wall elastances (Elvf and Ervf).

Figure 7 illustrates quantitative differences in the interdependence parameters between the coupled and uncoupled constraints. At a given level of Epetotal, GV and GP were higher with the coupled than with the uncoupled constraint (Fig. 7, A and B). On the other hand, Erveff was higher with the uncoupled than with the coupled constraint (Fig. 7C). The differences in GV, GP, and Erveff between the two constraint conditions became larger as Es increased.


Fig. 7. Quantitative assessment of changes in interdependence parameters with increases in Epetotal. A: changes in GV; B: changes in GP; C: changes in Erveff with interdependence. Differences in GV, GP, and Erveff between coupled and uncoupled constraint conditions became larger as Es increased from 2.5 to 5 to 10 mmHg/ml.
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DISCUSSION

On the basis of the novel concept of "coupled vs. uncoupled" pericardial constraint, we evaluated the effects of pericardial constraint on cardiac chamber interactions by use of mathematical model analyses. The numerical model of atrioventricular interaction well approximated the steady-state venous flow and pressure waveforms observed in pericardial diseases. Increased coupled constraint accounted for the patterns in cardiac tamponade, and increased uncoupled constraint accounted for those in constrictive pericarditis. On the other hand, the analytic model enabled quantitative comparisons of the status of ventricular interdependence between the two constraint conditions. Increased coupled constraint (tamponade) produced greater interdependence gains, which should lead to manifestation of a pulsus paradoxus (17), whereas increased uncoupled constraint (constriction) was associated with a greater effective RV elastance and, hence, the increased likelihood of a Kussmaul's sign (25). These findings provide a basis for the pathogenesis of the characteristic steady-state and respiratory-induced hemodynamic signs seen in tamponade and constriction. Thus the construct of coupled vs. uncoupled pericardial constraint may offer a useful conceptual framework to understand the pathophysiology in various forms of pericardial diseases.

Pericardial Constraint and Atrioventricular Interaction

The numerical model demonstrated that, with increases in coupled constraint, the normal biphasic patterns in Qv and Pra were replaced by a predominantly systolic Qv with a prominent x-descent in Pra. As the degree of coupled constraint increased, the ratio of diastolic to systolic venous inflow volumes to the RA (D/S <LIM><OP>∫</OP></LIM>Qv ratio) was reduced, such that most of venous return occurred during systole. These changes are consistent with the characteristic flow and pressure patterns in cardiac tamponade observed by us (4) and others (3, 5, 8, 11). With increases in uncoupled constraint, the simulated Qv became mainly diastolic with a prominent y-descent in Pra, consistent with the reported findings of constrictive pericarditis (5, 8, 9, 11).

A question then arises as to why such different flow and pressure patterns take place with the increased coupled (tamponade) or uncoupled constraint (constrictive pericarditis). It is important to appreciate that, as the degree of tamponade or constriction increases, the pericardial pressure increases and approaches the intraluminal Pra with a decrease in the transmural Pra (18, 19, 23). In severe forms of both pericardial diseases, the intraluminal Pra, i.e., the downstream pressure for systemic venous return, will be determined almost entirely by the pericardial pressure, which is the function of pericardial elastic recoil with minimal if any contribution of the intrinsic time-varying elastic properties of the underlying cardiac chambers.

With the increased coupled constraint, "elevated" and "uniform" Ppe all over the heart restricts the sum of the volumes of the RA and RV. Ppe is a function of the total right heart volume (Vtotal). During systole, ventricular ejection moves blood out of the intrapericardial space, reducing Vtotal and Ppe. The decrease in Ppe will lead to a decrease in the intraluminal Pra (x-descent), enhancing venous return and producing a systolic antegrade Qv. If sufficient volume can move into the RA during systole to replace the ejected stroke volume, the decreased Ppe and Pra will again increase to the level of the upstream venous pressure, and Qv should become zero at end systole. During diastole, the RA emptying and RV filling via the tricuspid valve do not directly influence Vtotal. Ppe is not affected by any intrapericardial volume transfer with the coupled constraint. Thus Ppe and Pra will be almost unchanged during diastole, producing an almost absent diastolic Qv and diminished y-descent in Pra.

With the increased uncoupled constraint, elevated and "regional" Ppera and Pperv individually restrict the RA and RV. Ppera is a function of Vra, whereas Pperv is determined by Vrv. During systole, ventricular ejection decreases Vrv and Pperv but does not affect Ppera. Thus the intraluminal Pra shows little change during systole (diminished x-descent) and the systolic Qv is small. During diastole, the RA emptying (the decrease in Vra) into the RV produces a decrease in Ppera. The resultant decrease in the intraluminal Pra (y-descent) will enhance venous return, producing a diastolic antegrade Qv.

The simulation produced an early diastolic dip in Prv only with the uncoupled constraint, but not with the coupled constraint (Fig. 5). This finding is consistent with the clinical observations that a dip-and-plateau pattern or a square root sign in Prv is a characteristic phenomenon of constrictive pericarditis (18, 19, 23). An insight as to the pathogenesis of this sign may be derived from the fact that the pericardial pressure over the RV is a function of Vtotal with the coupled constraint, whereas it is determined only by Vrv with the uncoupled constraint. In tamponade, Ppe decreases initially during systole but returns to the previous end-diastolic level at end systole, along with the corresponding change in Vtotal. In constrictive pericarditis, however, Pperv continues to decrease during systole and reaches its minimum value at end systole, along with the change in Vrv. When the tricuspid valve is opened, the decreased Pperv will start to contribute to generation of a pressure gradient for venous return. In early diastole, Pperv increases as the RV fills, whereas the transmural Prv decreases because the RV continues to relax. As a result of these changes, the intraluminal Prv will exhibit a dip in early diastole. Because the combined elastance of the RV and pericardium is large, this dip in Prv will soon be lost as the RV continues to fill rapidly and then abruptly cease filling, resulting in a plateau in Prv in late diastole.

Pericardial Constraint and Atrial Function

Atrial function in relation to ventricular filling has been conceptually classified in three forms: booster, reservoir, and conduit functions (10). The atrium boosts ventricular filling during atrial contraction (atrial kick), acts as a compliant chamber to pool blood during ventricular systole and supply the ventricle with this blood during ventricular diastole, and serves as a low-resistance conduit between the peripheral venous system and the ventricle during ventricular diastole. The simulation results, particularly the changes in cardiac chamber volumes (Fig. 5), suggest that these atrial functions are substantially modulated by the increased pericardial constraint, even if the atrial elastic properties per se are not changed.

With the increased coupled constraint, the reciprocal changes in Vra and Vrv during a cardiac cycle imply that the RA fills with a volume nearly equal to stroke volume during the RV ejection and empties it into the RV during the succeeding diastole. Because Qv is almost nil during diastole, direct filling of the RV from the venous system should be minimal during diastole. Thus, with cardiac tamponade, the atrium would not function well as a passive conduit for venous return during diastole, whereas it would serve as an efficient reservoir for ventricular filling by utilizing a decrease in Vtotal during ventricular ejection. Atrial function as a booster can still be preserved, as evidenced by the presence of the A wave in Qt and the late diastolic increase in Vrv.

With the increased uncoupled constraint, Vra exhibited only small changes during a cardiac cycle. Venous return occurred mainly during diastole, with the RA serving effectively as a passive conduit for blood flow from the venous system to the RV. The decreased A wave in Qt and monophasic diastolic increase in Vrv suggest that the contribution of atrial contraction to ventricular filling was diminished. Because the difference between the maximum and minimum elastances of the RA is small compared with that of the RV, a large external elastance (Epera) added over the RA would produce a combined RA-pericardium elastance that varies minimally during a cardiac cycle. Any influence of atrial contraction and relaxation on systolic venous flow would be masked by the increased uncoupled constraint. Filling of the right heart from the venous system would occur only during diastole when the tricuspid valve is opened and the elastances of the RV are connected parallel to the elastances of the RA. Thus, in constrictive pericarditis, the atrium appears to serve mainly as a conduit, and atrial function as a booster or a reservoir would be markedly attenuated, despite an unchanged atrial contractility.

Our results suggest that echocardiographic observation of atrioventricular volume changes within a cardiac cycle may provide an alternative diagnostic strategy for early detection of tamponade or constrictive physiology. Marked coupling between atrial and ventricular volume changes (i.e., reciprocal changes within a cardiac cycle) in addition to dominant systolic venous flow patterns should be useful signs of cardiac tamponade, whereas minimal changes in atrial volume and predominant diastolic venous flow should suggest a constrictive pericarditis.

Pericardial Constraint and Ventricular Interdependence

The analytic model characterized the effects of pericardial constraint on ventricular interdependence by defining three interdependence parameters as functions of pericardial elastances. The results demonstrated that the coupled and uncoupled constraints enhanced the interdependence gains (GV and GP) as well as the effective RV elastance (Erveff), but the degree of enhancement was quantitatively different between the two conditions. At a given level of total pericardial constraint, GV and GP increased more with the coupled than with the uncoupled constraint, whereas Erveff increased more with the uncoupled than with the coupled constraint.

Our model highlighted similarities and differences among the interdependence mechanisms mediated by the myocardium per se, coupled pericardium, and uncoupled pericardium. Under conditions with no pericardial constraint, Eq. 7 clarified how the myocardial factors modulate the interdependence parameters. First, GV and GP were enhanced by Es and Elvf and Ervf. Although the septal displacement is the sole element to produce myocardium-mediated interactions in the model, the free walls are still able to enhance them by augmenting the transseptal interaction (15). When the septum is shifted leftward, a stiffer LV free wall will augment the degree of constraint of a given LV volume, creating a greater increase in LV pressure. Second, Erveff was influenced not only by the RV-related elastances (Ervf and Es) but also by the LV-related elastance (Elvf). Thus factors determining Erveff are not necessarily limited to the pure RV factors and will also be influenced by interdependence.

With the increased coupled constraint, Ppe restricts the LV and RV volumes together, increasing GV and GP. Because the RV and LV are exposed to the coupled pericardial elastance, Erveff would also increase. It is important to note that the enhancement of interdependence produced by the coupled pericardium does not require involvement of the transseptal interaction. Equation 8 demonstrated that Epe affected the interdependence parameters in a fashion totally different and independent from the septal or free wall elastances. This implies that the coupled pericardium provides a unique interdependence mechanism in addition to the myocardium-mediated interactions.

With the increased uncoupled constraint, Ppelv and Pperv impose local constraining forces on the LV and RV. As a result, the effective stiffness of each ventricle and, hence, Erveff would increase. More interestingly, despite the uncoupled nature of the constraint, the intrapericardial volume coupling between the two ventricles was also enhanced, and GV and GP increased. The clue to understanding this apparently paradoxical finding is given in Eq. 9, in which Epelv and Eperv affected the interdependence parameters essentially in a manner similar to Elvf and Ervf. Thus the uncoupled regional pericardium would behave as additional free walls, increasing the effective stiffness of the LV and RV free walls and augmenting the transseptal interaction. The interdependence mechanism mediated by the uncoupled pericardium can therefore be considered as an augmentation of the myocardium-mediated interactions.

The differences in the interdependence mechanism between the coupled and uncoupled pericardium may be further clarified by calculating changes in GV, GP, and Erveff when Es approaches infinity in Eqs. 7-9.

As Es right-arrow infinity , with no pericardial constraint
G<SUB>V</SUB> → 0,  G<SUB>P</SUB> → 0,  E<SUB>rv<SUB>eff</SUB></SUB> → E<SUB>rvf</SUB> (10a)
with the coupled constraint
G<SUB>V</SUB> → E<SUB>pe</SUB>, G<SUB>P</SUB> → <FR><NU>E<SUB>pe</SUB></NU><DE>E<SUB>rvf</SUB> + E<SUB>pe</SUB></DE></FR> , E<SUB>rv<SUB>eff</SUB></SUB> → E<SUB>rvf</SUB> + E<SUB>pe</SUB> (10b)
and with the uncoupled constraint
G<SUB>V</SUB> → 0,  G<SUB>P</SUB> → 0,  E<SUB>rv<SUB>eff</SUB></SUB> → E<SUB>rvf</SUB> + E<SUB>pe<SUB>rv</SUB></SUB> (10c)
In this situation, the septum becomes extremely rigid, so that the myocardium-mediated interactions become negligible, as represented by zero values of GV and GP in Eq. 10a. With the coupled constraint, however, GV and GP did not become zero, still being under the influence of Epe. In contrast, GV and GP approached zero with the uncoupled constraint. Erveff became equal to Ervf + Epe with the coupled constraint, whereas it was equal to Ervf + Eperv with the uncoupled constraint.

Understanding of these equations can provide an intuitive explanation as to why quantitative differences were observed in the degree of interdependence between the coupled and uncoupled constraint conditions (Fig. 7). As the degree of the pericardial constraint increases, the coupled pericardium produces a complete intrapericardial volume coupling between the two ventricles, whereas the uncoupled pericardium only provides a partial volume coupling by enhancing the already present transseptal interaction. GV and GP should therefore be larger with the coupled than with the uncoupled constraint. However, the RV is connected to the elastance of the total pericardium (Epe) with the coupled constraint, whereas it is connected only to the elastance of the right-sided pericardium (Eperv) with the uncoupled constraint. The connection of the RV to the other half of the uncoupled pericardium (Epelv) is indirect, mediated by the transseptal interaction. Eperv is substantially larger than Epe, because it reflects only a regional portion of the pericardium. Thus it is likely that Erveff increases more with the uncoupled than with the coupled constraint at a given level of pericardial stiffness. The differences between the two constraint conditions should increase as the influence of transseptal interaction is attenuated (i.e., Es increases), as graphically shown in Fig. 7.

Pericardial Constraint and Respiratory-Induced Hemodynamic Signs

The interdependence parameters defined in the model can also be used to predict the likelihood that the respiratory-induced hemodynamic signs will be manifest under the coupled or uncoupled constraint conditions. As the interdependence gains (GV and GP) increase, the inspiratory increase in RV volume or pressure would produce a greater rise in transmural LV diastolic pressure (relative to pleural pressure) at a given LV volume. In other words, the rise in effective LV diastolic elastance during inspiration would be greater with higher values of GV and GP. This results in larger decreases in LV filling from the pulmonary circulation, thereby increasing the degree or likelihood of pulsus paradoxus (7, 17). Thus our findings provide a basis for why a pulsus paradoxus is manifest not only in cardiac tamponade but also in constrictive pericarditis and why it should be observed to a greater extent or more frequently with tamponade (coupled) than with constriction (uncoupled).

Although Kussmaul's sign is accepted as a useful clinical sign for pericardial pathology (18, 19), its pathogenesis had not been well explained. We recently demonstrated in canine experiments that a Kussmaul's sign should only occur during inspiration with an active diaphragmatic descent (25). When an inspiratory increase in systemic venous return is mainly attributed to a large increase in abdominal pressure, the rise in transmural RA pressure may exceed the fall in pleural pressure, leading to manifestation of a Kussmaul's sign. With a greater Erveff under conditions of uncoupled pericardial constraint, the inspiratory increase in right heart volume would produce greater increases in transmural RV diastolic or RA pressure relative to pleural pressure. Thus the results are consistent with the classic observation that a Kussmaul's sign is observed relatively frequently in constrictive pericarditis (uncoupled) but rarely in cardiac tamponade (coupled). In an intuitive sense, with constriction only the elastances of the right heart and right-sided pericardium accept the enhanced venous return, whereas with tamponade the left-sided pericardium would also participate in buffering the effects of the increased right heart volume, resulting in a decreased likelihood of the manifestation of a Kussmaul's sign at a similar level of total pericardial constraint.

Critique

The present study uses two separate mathematical models to analyze the effects of pericardial constraint on cardiac chamber interactions. Because atrioventricular interaction within a cardiac cycle is a dynamic flow-mediated phenomenon in a relatively high frequency range, we constructed an open-loop numerical model of the right heart circulation based on the actual experimental data of vascular impedances. On the other hand, ventricular interdependence has been successfully analyzed by several previous studies as a pressure-mediated phenomenon without an element of time taken into account (12, 14, 21). We thus utilized a simple volume elastance model that can be directly solved by symbolic mathematical manipulation.

It is theoretically possible to model the overall cardiovascular system, including the four cardiac chambers as well as systemic/pulmonary arterial and venous beds, as a single closed circuit on a beat-to-beat basis. In this situation, however, the model must simultaneously fulfill two difficult and sometimes conflicting requirements. First, each vascular bed needs to be characterized as input impedance to simulate instantaneous venous and arterial pressure waveforms with reasonable precision. Second, the steady-state characteristics of each vascular bed must also be considered to simulate the effects of volume redistribution among the vascular beds in a closed-circuit circulation. Unfortunately, no model has been successful in perfectly reconciling the beat-to-beat (high-frequency) and closed-circuit (low-frequency or steady-state) characteristics into a single mathematical model mainly because of the lack of necessary experimental data of vascular properties from these two viewpoints. Thus our approach is appropriate, although not perfect, given the present level of experimental knowledge of circulatory parameters.

A potential problem may exist in our model because of the assumption of linear elements. The pressure-volume relationships of the pericardium and diastolic ventricular elastances are known to be highly nonlinear. Although it was possible to arbitrarily choose certain nonlinear mathematical functions for these elements, there are few experimental data on which we could reliably define such functions under the normal and pericardial disease conditions. Other limitations in our numerical model may include lack of inertances of the tricuspid and pulmonic valves and lack of the effects of descent of the base of the heart produced by ventricular contraction. All these factors may cause some problems in simulating accurate flow waveforms across the tricuspid valve or may underestimate venous flow during early ventricular systole. Nevertheless, the overall good agreement between the model and reality suggests that our simple model is valid as a first approximation, and the principles developed on the basis of the coupled vs. uncoupled constraint appeared useful in providing a rationale to interpret hemodynamic events in pericardial diseases.


ACKNOWLEDGEMENTS

The authors thank Drs. W. L. Maughan, W. Mitzner, K. Sunagawa, and K. Miyasaka for insightful and encouraging discussions during the development of this work.


FOOTNOTES

   This work is supported in part by National Heart, Lung, and Blood Institute Grant RO-1-39138-04 and Ministry of Health and Welfare (Japan) Grant H8-PK5-02.

Address for reprint requests: M. Takata, Cardiovascular Research Center, Massachusetts General Hospital---East, 149 13th St., 4th Fl., Charlestown, MA 02129.

Received 4 June 1997; accepted in final form 31 July 1997.


APPENDIX

Mathematical description of the numerical model. The flows across Rvd and Rpd (Q1 and Q2) are given by
<A><AC>Q</AC><AC>˙</AC></A><SUB>1</SUB> = <FR><NU>P<SUB>u</SUB> − P<SUB>v</SUB></NU><DE>R<SUB>vd</SUB></DE></FR> (A1a)
<A><AC>Q</AC><AC>˙</AC></A><SUB>2</SUB> = <FR><NU>P<SUB>p</SUB> − P<SUB>d</SUB></NU><DE>R<SUB>pd</SUB></DE></FR> (A1b)
The pressure-flow relationships at the compliances, inertance, and cardiac chamber elastances in the model can be expressed as
P<SUB>v</SUB> = <FR><NU>1</NU><DE>C<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>1</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB>)d<IT>t</IT> (A2a)
<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> = <FR><NU>1</NU><DE>L<SUB>v</SUB></DE></FR> <LIM><OP>∫</OP></LIM> (P<SUB>v</SUB> − P<SUB>ra</SUB> − R<SUB>vp</SUB> ⋅ <A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB>)d<IT>t</IT> (A2b)
P<SUB>ra<SUB>tm</SUB></SUB> = E<SUB>ra</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>)d<IT>t</IT> (A2c)
P<SUB>rv<SUB>tm</SUB></SUB> = E<SUB>rv</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (A2d)
P<SUB>p</SUB> = <FR><NU>1</NU><DE>C<SUB>p</SUB></DE></FR> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>2</SUB>)d<IT>t</IT> (A2e)
where Pratm and Prvtm represent the transmural pressures of the RA and RV, respectively. With the coupled constraint, Pratm, Prvtm, and the pressure-flow relationship at Epe should be given by
P<SUB>ra<SUB>tm</SUB></SUB> = P<SUB>ra</SUB> − P<SUB>pe</SUB> (A3a)
P<SUB>rv<SUB>tm</SUB></SUB> = P<SUB>rv</SUB> − P<SUB>pe</SUB> (A3b)
P<SUB>pe</SUB> = E<SUB>pe</SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (A3c)
In contrast, with the uncoupled constraint, Pratm, Prvtm, and the pressure-flow relationships at Epera and Eperv will be
P<SUB>ra<SUB>tm</SUB></SUB> = P<SUB>ra</SUB> − P<SUB>pe<SUB>ra</SUB></SUB> (A4a)
P<SUB>rv<SUB>tm</SUB></SUB> = P<SUB>rv</SUB> − P<SUB>pe<SUB>rv</SUB></SUB> (A4b)
P<SUB>pe<SUB>ra</SUB></SUB> = E<SUB>pe<SUB>ra</SUB></SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>v</SUB> − <A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>)d<IT>t</IT> (A4c)
P<SUB>pe<SUB>rv</SUB></SUB> = E<SUB>pe<SUB>rv</SUB></SUB> <LIM><OP>∫</OP></LIM> (<A><AC>Q</AC><AC>˙</AC></A><SUB>t</SUB>− <A><AC>Q</AC><AC>˙</AC></A><SUB>p</SUB>)d<IT>t</IT> (A4d)
Solving Eqs. A1-A3 for six state variables or solving Eqs. A1, A2, and A4 for seven state variables, we can derive six sets (coupled constraint) or seven sets (uncoupled constraint) of linear first-order differential equations, i.e., Eq. 1 or 2.

Parameter justification and sensitivity analysis for the numerical model. The parameter values used in the numerical model (Table 1) are adjusted to approximate cardiovascular properties for an ~15-kg dog. Characterization of the vascular systems as input impedance, particularly the systemic venous impedance, is essential to accurately simulate dynamic venous pressure and flow waveforms in this model. Sagawa et al. (20) measured hydraulic admittance of the systemic veins in dogs by means of a two-port analysis. To the best of our knowledge, this is the only study in the literature that experimentally characterized the dynamic properties of the venous system. Thus the parameters for the systemic veins in the model were chosen to approximate the actual impedance values obtained in their study. The parameters for the pulmonary arteries were based on a traditional three-element windkessel impedance model taken from the canine experiments by Westerhof et al. (28). Right heart parameters were derived from the well-established studies using isolated canine hearts: RA parameters from the study by Lau et al. (10) and RV parameters from the study by Maughan et al. (14). The ratio of maximum to minimum elastances was set at 2 for the RA and 10 for the RV. Tricuspid resistances were estimated in view of a normal pressure gradient between the RA and RV.

Because the model contains a large number of parameters, we also performed an extensive analysis regarding the relative impact of changes in such parameters on the simulation results of interest, i.e., steady-state venous pressure and flow waveforms. Table 3 summarizes the changes in the D/S <LIM><OP>∫</OP></LIM> Qv ratio as each cardiac or vascular parameter was changed (decreased or increased by factors of 2) from its baseline value. It was apparent that changes in vascular parameters, once the baseline values are appropriately estimated from the experimental data, had relatively little effect on the D/S <LIM><OP>∫</OP></LIM> Qv ratio. Changes in Pu and Pd did not substantially affect the D/S <LIM><OP>∫</OP></LIM> Qv ratio. In contrast, changes in cardiac parameters, particularly the RA parameters, had significant effects on the D/S <LIM><OP>∫</OP></LIM> Qv ratio. However, even the twofold changes in the RA elastance parameters did not produce such large changes in the D/S <LIM><OP>∫</OP></LIM> Qv ratio as observed with changes in pericardial elastances (e.g., D/S <LIM><OP>∫</OP></LIM> Qv ratio changed from 0.92 to -0.04 with Epe of 5 mmHg/ml to 11.15 with Epera and Eperv of 5 mmHg/ml). These results suggest that the intrinsic time-varying cardiac properties, particularly the atrial parameters, are important, but the effects of coupled vs. uncoupled pericardial constraint, if present and increased to a substantial level, may dominate in determining the status of atrioventricular interaction and venous pressure and flow waveforms.

Table  3.   Changes in D/S int  int Qv ratio with changes in each model parameter
Changes in D/S int Qv Ratio
0.5 × Baseline Baseline 2 × Baseline

Systemic venous impedance
  Rvd 0.97 0.92 0.82
  Rvp 0.86 0.92 0.93
  Cv 0.86 0.92 0.93
  Lv 0.88 0.92 0.99
Pulmonary arterial impedance
  Rpp 0.96 0.92 0.80
  Rpd 1.03 0.92 0.74
  Cp 0.88 0.92 0.93
Right heart parameters
  Rt 0.95 0.92 0.87
  Eramax 1.71 0.92 0.60
  Eramin 0.56 0.92 2.93
  Ervmax 0.64 0.92 1.06
  Ervmin 1.01 0.92 0.83
Upstream and downstream pressure sources
  Pu 0.81 0.92 0.98
  Pd 0.98 0.92 0.81
  Pu and Pd* 0.92 0.92 0.92

* Pu and Pd were simultaneously changed.

Mathematical description of the analytic model. The behavior of the model can be analyzed by expressing ventricular pressures (Plv and Prv) as functions of ventricular volumes (Vlv and Vrv). Vlv and Vrv can be written as
V<SUB>lv</SUB> = V<SUB>lvf</SUB> + V<SUB>s</SUB> (A5a)
V<SUB>rv</SUB> = V<SUB>rvf</SUB> − V<SUB>s</SUB> (A5b)
The pressure-volume relationship at Elvf, Ervf, or Es can be given as
V<SUB>lvf</SUB> = <FR><NU>P<SUB>lv<SUB>tm</SUB></SUB></NU><DE>E<SUB>lvf</SUB></DE></FR> − V<SUB>lv 0</SUB> (A6a)
V<SUB>rvf</SUB> = <FR><NU>P<SUB>rv<SUB>tm</SUB></SUB></NU><DE>E<SUB>rvf</SUB></DE></FR> − V<SUB>rv 0</SUB> (A6b)
V<SUB>s</SUB> = <FR><NU>P<SUB>lv</SUB> − P<SUB>rv</SUB></NU><DE>E<SUB>s</SUB></DE></FR> (A6c)
Plvtm and Prvtm represent the transmural pressures and Vlv 0 and Vrv 0 are the unstressed volumes of the LV and RV, respectively. Plvtm and Prvtm under conditions with no pericardial constraint should be given by
P<SUB>lv<SUB>tm</SUB></SUB> = P<SUB>lv</SUB> (A7a)
P<SUB>rv<SUB>tm</SUB></SUB> = P<SUB>rv</SUB> (A7b)
with the coupled constraint by
P<SUB>lv<SUB>tm</SUB></SUB> = P<SUB>lv</SUB> − P<SUB>pe</SUB> (A8a)
P<SUB>rv<SUB>tm</SUB></SUB> = P<SUB>rv</SUB> − P<SUB>pe</SUB> (A8b)
V<SUB>lvf</SUB> + V<SUB>rvf</SUB> = <FR><NU>P<SUB>pe</SUB></NU><DE>E<SUB>pe</SUB></DE></FR> + V<SUB>pe 0</SUB> (A8c)
and with the uncoupled constraint by
P<SUB>lv<SUB>tm</SUB></SUB> = P<SUB>lv</SUB> − P<SUB>pe<SUB>lv</SUB></SUB> (A9a)
P<SUB>rv<SUB>tm</SUB></SUB> = P<SUB>rv</SUB> − P<SUB>pe<SUB>rv</SUB></SUB> (A9b)
V<SUB>lvf</SUB> = <FR><NU>P<SUB>pe<SUB>lv</SUB></SUB></NU><DE>E<SUB>pe<SUB>lv</SUB></SUB></DE></FR> + V<SUB>pe<SUB>lv 0</SUB></SUB> (A9c)
V<SUB>rvf</SUB> = <FR><NU>P<SUB>pe<SUB>rv</SUB></SUB></NU><DE>E<SUB>pe<SUB>rv</SUB></SUB></DE></FR> + V<SUB>pe<SUB>rv 0</SUB></SUB> (A9d)
where Vpe 0 is the unstressed volume of the coupled total pericardium and Vpelv 0 and Vperv 0 are the unstressed volumes of the uncoupled LV and RV pericardia, respectively. Solving Eqs. A5-A9 and eliminating Ppe, Ppelv, and Pperv, we can derive two equations expressing Plv and Prv as functions of Vlv and Vrv in the following format
P<SUB>lv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>) = <IT>a</IT><SUB>1</SUB>(V<SUB>lv</SUB> − V<SUB>lv 0</SUB>) + <IT>a</IT><SUB>2</SUB>(V<SUB>rv</SUB> − V<SUB>rv 0</SUB>) + <IT>a</IT><SUB>3</SUB> (A10a)
P<SUB>rv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>) = <IT>b</IT><SUB>1</SUB>(V<SUB>rv</SUB> − V<SUB>rv 0</SUB>) + <IT>b</IT><SUB>2</SUB>(V<SUB>lv</SUB> − V<SUB>lv 0</SUB>) + <IT>b</IT><SUB>3</SUB> (A10b)
Differentiating these equations with Vrv at a constant Vlv should yield
G<SUB>V</SUB> = <FR><NU>∂P<SUB>lv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</NU><DE>∂V<SUB>rv</SUB></DE></FR> = <IT>a</IT><SUB>2</SUB> (A11a)
G<SUB>P</SUB> = <FR><NU>∂P<SUB>lv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</NU><DE>∂P<SUB>rv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</DE></FR> = <FR><NU>∂P<SUB>lv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</NU><DE>∂V<SUB>rv</SUB></DE></FR> <FENCE> </FENCE><FR><NU>∂P<SUB>rv</SUB>(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</NU><DE>∂V<SUB>rv</SUB></DE></FR> = <FR><NU><IT>a</IT><SUB>2</SUB></NU><DE><IT>b</IT><SUB>1</SUB></DE></FR> (A11b)
E<SUB>rv<SUB>eff</SUB></SUB> = <FR><NU>∂P<SUB>r</SUB>v(V<SUB>lv</SUB>,V<SUB>rv</SUB>)</NU><DE>∂V<SUB>rv</SUB></DE></FR> = <IT>b</IT><SUB>1</SUB> (A11c)
Once the concrete forms of the coefficients of Eq. A10 are specified for each of the three constraint conditions, the actual formulas of GV, GP, and Erveff can be derived as functions of the ventricular and pericardial elastances. Under conditions with no pericardial constraint, solving Eqs. A5-A7 and differentiating yield Eq. 7. Similarly, Eqs. A5, A6, and A8 for the coupled constraint and Eqs. A5, A6, and A9 for the uncoupled constraint yield Eqs. 8 and 9, respectively.


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