Accurate prediction of cardiac output (CO), left atrial pressure (P_LA) and right atrial pressure (P_RA) is a prerequisite for the management of patients with compromised hemodynamics. In our previous study (Am J Physiol 286; H2376, 2004), we have demonstrated a circulatory equilibrium framework, which permits the prediction of CO, P_LA and P_RA once the venous return surface and integrated CO curve are known. As we have also shown that the surface can be estimated from single-point CO, P_LA, and P_RA measurements, we hypothesized that a similar single-point estimation of the CO curve would enable us to predict hemodynamics. In 7 dogs, we measured the P_LA-CO and P_RA-CO relationships and derived a standardized CO curve using the logarithmic function CO=S_L[ln(P_LA-2.03)+0.80] for the left heart and CO=S_R[ln(P_RA-2.13)+1.90] for the right heart, where S_L and S_R represent the preload sensitivity of CO, i.e., pumping ability, of the respective hearts. To estimate the integrated CO curve in each animal, we calculated S_L and S_R from single-point CO, P_LA, and P_RA measurements. Estimated and measured CO agreed reasonably well. In another 8 dogs, we altered stressed blood volume (-8 to +8 ml^.kg of reference volume) under normal and heart-failing conditions, and predicted the hemodynamics by intersecting the surface and the CO curve thus estimated. We could predict CO (y=0.93x+6.5, r²=0.96, SEE=7.5 ml[[rad]]min^-1.kg^-1), P_LA (y=0.90x+0.5, r²=0.93, SEE=1.4 mmHg), and P_RA (y=0.87x+0.4, r²=0.91, SEE=0.4 mmHg) reasonably well. In conclusion, single-point estimation of the integrated CO curve enables accurate prediction of hemodynamics in response to extensive changes in stressed blood volume.