Table 2.

Indexes of LV diastolic function derived from pulsed-Doppler transmitral flow

nBaseline1 yr%ChangeP Value, Within-Group ChangeP Value, Between-Groups Change
E, cm/s
    CR1272 (SD 20)75 (SD 20)4.9 (SD 17.9)0.540.33
    Ex1370 (SD 14)68 (SD 12)−0.3 (SD 15.3)0.69
A, cm/s
    CR1258 (SD 20)61 (SD 19)6.0 (SD 19.6)0.400.42
    Ex1358 (SD 16)58 (SD 14)2.2 (SD 19.0)0.90
E/A
    CR121.3 (SD 0.4)1.3 (SD 0.3)1.0 (SD 18.9)0.750.69
    Ex131.3 (SD 0.4)1.2 (SD 0.2)−0.3 (SD 18.5)0.95*
DT, ms
    CR12190 (SD 32)199 (SD 26)6.1 (SD 13.3)0.230.08
    Ex13191 (SD 28)187 (SD 20)−1.4 (SD 8.5)0.41
VTIE, cm
    CR1210 (SD 4)11 (SD 3)12.6 (SD 23.9)0.150.03
    Ex139 (SD 2)9 (SD 2)−0.5 (SD 17.0)0.67
IVRT, ms
    CR1263 (SD 15)47 (SD 8)−19.9 (SD 28.3)0.020.71
    Ex1158 (SD 11)46 (SD 6)−18.0 (SD 17.7)0.01
c, g/s
    CR1123.2 (SD 7.9)17.4 (SD 3.7)−15.5 (SD 39.3)0.070.51
    Ex1220.8 (SD 4.8)18.5 (SD 5.5)−9.3 (SD 23.6)0.16
k, g/s2
    CR11234 (SD 52)188 (SD 33)−17.5 (SD 14.9)0.002*0.19
    Ex12207 (SD 36)195 (SD 42)−5.8 (SD 14.2)0.23*
xo, cm
    CR1110.7 (SD 4.9)10.0 (SD 3.1)−0.4 (SD 21.9)0.350.48
    Ex1210.1 (SD 1.7)8.1 (SD 4.0)−17.4 (SD 39.7)0.47*
kxo, g·cm/s2
    CR112,530 (SD 1,390)1,850 (SD 540)−16.5 (SD 27.7)0.060.27
    Ex122,090 (SD 460)1,930 (SD 600)−6.7 (SD 20.4)0.30
1/2kxo2, g·cm2/s2
    CR1116,300 (SD 17,500)9,890 (SD 6,340)−11.9 (SD 48.6)0.17*0.39
    Ex1210,800 (SD 3,840)9,900 (SD 4,670)−4.9 (SD 35.0)0.49
  • Values are means (SD); n, number of subjects. Parameterized diastolic filling (PDF) parameters and computed indexes were not determined for 1 subject in the CR and 1 subject in the Ex group due to inadequate image quality. E, peak E-wave velocity; A, peak A-wave velocity; DT, deceleration time; VTIE, velocity-time integral of E-wave; IVRT, isovolumic relaxation time; c, chamber relaxation/viscoelasticity; k, chamber stiffness; xo, stored elastic strain; kxo, peak force in the spring; 1/2kxo2, stored elastic potential energy.

  • * P value based on Wilcoxon's signed rank test;

  • P value based on analysis of covariance (ANCOVA) using ranks of the raw data.