TAC-deTAC Final Analysis
2025-07-16
Each tab can be clicked on to show off related statistics. All statistics have been computed using RStudio and all data was collected on VevoLab VevoStrain 2.0.
Results
Variable Definitions
| Variable_Name | Definition | Unit |
|---|---|---|
| mouse_ID | Label for each lab mouse | NA |
| time_point | time point and treatment group type | NA |
| true_mitral | 4DUS measured mitral valve diameter | mm |
| calc_mitral | Rounded mitral valve diameter used in VevoLab calculation | mm |
| true_aortic | 4DUS measured aortic valve diameter | mm |
| calc_aortic | Rounded aortic valve diameter used in VevoLab calculation | mm |
| sys_pk | Peak HDF value during systole | % |
| ewave_long_rms | Longitudinal RMS HDF value during diastolic E-wave | % |
| ewave_ratio_rms | Longitudinal to transverse RMS HDF value during diastolic E-wave | % |
| ewave_angle | Average HDF angle during diastolic E-wave | ° |
| cycle_length | Length of the entire heartbeat cycle | ms |
| cycle_long_rms | Longitudinal RMS HDF value during the entire heartbeat | % |
| cycle_trans_rms | Transverse RMS HDF value during the entire heartbeat | % |
| cycle_ratio_rms | Longitudinal to transverse RMS HDF value over the entire heartbeat | % |
| cycle_angle | Average HDF angle over the entire heartbeat | ° |
| sys_length | Length of systole | ms |
| sys_im_length | Length of systolic impulse | ms |
| sys_im_angle | Average HDF angle during systolic impulse | ° |
| sys_im_AUC | Area under the longitudinal curve during systolic impulse | % |
| sys_im_long_rms | Longitudinal RMS HDF value during the systolic impulse | % |
| sys_im_trans_rms | Transverse RMS HDF value during the systolic impulse | % |
| isys_im_length | Length of initial portion of systolic impulse | ms |
| isys_im_long_rms | Longitudinal RMS HDF value during the initial systolic impulse | % |
| dsys_im_length | Length of descending portion of systolic impulse | ms |
| dsys_im_long_rms | Longitudinal RMS HDF value during the descending systolic impulse | % |
| lsys_long_rms | Longitudinal RMS HDF value during the late systole period | % |
| myo_GCS | Myocardial global circumferential strain rate | % |
| myo_GLS | Myocardial global longitudinal strain rate | % |
| endo_GCS | Endocardial global circumferential strain rate | % |
| endo_GLS | Endocardial global longitudinal strain rate | % |
| LV_EF | LV Ejection fraction | % |
| pslax_avg_strain_rate | Parasternal long axis LV average strain rate | d%/dt |
| LV_mass_cor | LV mass corrected mass | mg |
| LVAW_sys | LV anterior wall average thickness during systole | mm |
| LVAW_dias | LV anterior wall average thickness during diastole | mm |
| LVPW_sys | LV posterior wall average thickness during systole | mm |
| LVPW_dias | LV posterior wall average thickness during diastole | mm |
| sax_avg_strain | LV short axis average strain | % |
| LA_EF | LA ejection fraction | % |
| LA_edv | LA end diastolic volume | mL |
| LA_esv | LA end systolic volume | mL |
| LA_strain_mean | LA mean strain | % |
| Ao_pk_vel | Peak aoritc blood flow velocity | mm/s |
| mitral_EA_ratio | Mitral valve blood flow velocity diastolic E-wave to A-wave ratio | NA |
| sys_length_norm | Normalized systole length as a ratio of R to R | % |
| sys_im_length_norm | Normalized systolic impulse length as a ratio of R to R | % |
| isys_im_length_norm | Normalized initial systolic impulse length as a ratio of R to R | % |
| dsys_im_length_norm | Normalized descending systolic impulse length as a ratio of R to R | % |
| isys_dsys_length_ratio | Ratio of initial systolic impulse length to descending systolic impulse length | % |
| isys_dsys_long_ratio | Ratio of initial systolic impulse longitudinal HDF to descending systolic impulse longitudinal HDF | % |
Figure 2
Normality
## === Testing sys_pk ===
## Group: 1 - Shapiro-Wilk p-value: 0.5485348
## Group: 2 - Shapiro-Wilk p-value: 0.3241892
## Group: 3 - Shapiro-Wilk p-value: 0.03525184
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 15.365, df = 2, p-value = 0.0004608
##
##
## === Testing ewave_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.2096548
## Group: 2 - Shapiro-Wilk p-value: 0.3301504
## Group: 3 - Shapiro-Wilk p-value: 0.2648393
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 3604 1802 1.761 0.196
## Residuals 21 21489 1023
##
## === Testing ewave_ratio_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.1184806
## Group: 2 - Shapiro-Wilk p-value: 0.6707492
## Group: 3 - Shapiro-Wilk p-value: 0.09840181
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 62.2 31.10 0.592 0.562
## Residuals 21 1103.4 52.54
##
## === Testing ewave_angle ===
## Group: 1 - Shapiro-Wilk p-value: 0.08767966
## Group: 2 - Shapiro-Wilk p-value: 0.8417568
## Group: 3 - Shapiro-Wilk p-value: 0.3006952
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 27.3 13.62 0.538 0.591
## Residuals 21 531.4 25.30
##
## === Testing cycle_length ===
## Group: 1 - Shapiro-Wilk p-value: 0.8201015
## Group: 2 - Shapiro-Wilk p-value: 0.002252278
## Group: 3 - Shapiro-Wilk p-value: 0.994645
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 3.3368, df = 2, p-value = 0.1885
##
##
## === Testing cycle_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.1125588
## Group: 2 - Shapiro-Wilk p-value: 0.6588126
## Group: 3 - Shapiro-Wilk p-value: 0.5275711
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 4320 2160 5.167 0.015 *
## Residuals 21 8778 418
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing cycle_trans_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.09204671
## Group: 2 - Shapiro-Wilk p-value: 0.06532962
## Group: 3 - Shapiro-Wilk p-value: 0.1765644
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 0.15 0.076 0.007 0.993
## Residuals 21 232.39 11.066
##
## === Testing cycle_ratio_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.5637164
## Group: 2 - Shapiro-Wilk p-value: 0.07306118
## Group: 3 - Shapiro-Wilk p-value: 0.02428636
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 3.4844, df = 2, p-value = 0.1751
##
##
## === Testing cycle_angle ===
## Group: 1 - Shapiro-Wilk p-value: 0.8064864
## Group: 2 - Shapiro-Wilk p-value: 0.1121433
## Group: 3 - Shapiro-Wilk p-value: 0.5441041
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 42.33 21.17 1.782 0.193
## Residuals 21 249.50 11.88
##
## === Testing sys_length ===
## Group: 1 - Shapiro-Wilk p-value: 0.7229021
## Group: 2 - Shapiro-Wilk p-value: 0.9411609
## Group: 3 - Shapiro-Wilk p-value: 0.1424458
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 93 46.5 0.359 0.703
## Residuals 21 2721 129.6
##
## === Testing sys_im_length ===
## Group: 1 - Shapiro-Wilk p-value: 0.4207217
## Group: 2 - Shapiro-Wilk p-value: 0.8383787
## Group: 3 - Shapiro-Wilk p-value: 0.1203641
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 241.7 120.87 1.354 0.28
## Residuals 21 1874.2 89.25
##
## === Testing sys_im_angle ===
## Group: 1 - Shapiro-Wilk p-value: 0.6488765
## Group: 2 - Shapiro-Wilk p-value: 0.2004101
## Group: 3 - Shapiro-Wilk p-value: 0.3656881
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 69.1 34.54 2.219 0.134
## Residuals 21 326.9 15.57
##
## === Testing sys_im_AUC ===
## Group: 1 - Shapiro-Wilk p-value: 0.7971419
## Group: 2 - Shapiro-Wilk p-value: 0.4658848
## Group: 3 - Shapiro-Wilk p-value: 0.002268014
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 15.687, df = 2, p-value = 0.0003923
##
##
## === Testing sys_im_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.764676
## Group: 2 - Shapiro-Wilk p-value: 0.1659053
## Group: 3 - Shapiro-Wilk p-value: 0.1910273
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 20248 10124 17.57 3.28e-05 ***
## Residuals 21 12100 576
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing sys_im_trans_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.9882521
## Group: 2 - Shapiro-Wilk p-value: 0.04868395
## Group: 3 - Shapiro-Wilk p-value: 0.2003942
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 2.9477, df = 2, p-value = 0.229
##
##
## === Testing isys_im_length ===
## Group: 1 - Shapiro-Wilk p-value: 0.7890643
## Group: 2 - Shapiro-Wilk p-value: 0.2189582
## Group: 3 - Shapiro-Wilk p-value: 0.371489
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 560.6 280.29 10.53 0.000682 ***
## Residuals 21 559.2 26.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing isys_im_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.9058169
## Group: 2 - Shapiro-Wilk p-value: 0.2727141
## Group: 3 - Shapiro-Wilk p-value: 0.32051
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 15715 7857 12.01 0.000334 ***
## Residuals 21 13744 654
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing dsys_im_length ===
## Group: 1 - Shapiro-Wilk p-value: 0.3485734
## Group: 2 - Shapiro-Wilk p-value: 0.850541
## Group: 3 - Shapiro-Wilk p-value: 0.8298027
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 1274.1 637.0 15.79 6.53e-05 ***
## Residuals 21 847.2 40.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing dsys_im_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.307901
## Group: 2 - Shapiro-Wilk p-value: 0.3311119
## Group: 3 - Shapiro-Wilk p-value: 0.03892445
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 15.68, df = 2, p-value = 0.0003937
##
##
## === Testing lsys_long_rms ===
## Group: 1 - Shapiro-Wilk p-value: 0.882994
## Group: 2 - Shapiro-Wilk p-value: 0.009894144
## Group: 3 - Shapiro-Wilk p-value: 0.7449337
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 6.365, df = 2, p-value = 0.04148
##
##
## === Testing myo_GCS ===
## Group: 1 - Shapiro-Wilk p-value: 0.2722767
## Group: 2 - Shapiro-Wilk p-value: 0.7262246
## Group: 3 - Shapiro-Wilk p-value: 0.1907374
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 141.77 70.88 16.13 5.71e-05 ***
## Residuals 21 92.31 4.40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing myo_GLS ===
## Group: 1 - Shapiro-Wilk p-value: 0.9457198
## Group: 2 - Shapiro-Wilk p-value: 0.9232229
## Group: 3 - Shapiro-Wilk p-value: 0.5178704
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 260.0 129.99 22.78 5.49e-06 ***
## Residuals 21 119.8 5.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing endo_GCS ===
## Group: 1 - Shapiro-Wilk p-value: 0.2255423
## Group: 2 - Shapiro-Wilk p-value: 0.03694183
## Group: 3 - Shapiro-Wilk p-value: 0.5654701
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 15.322, df = 2, p-value = 0.0004709
##
##
## === Testing endo_GLS ===
## Group: 1 - Shapiro-Wilk p-value: 0.5924315
## Group: 2 - Shapiro-Wilk p-value: 0.9226016
## Group: 3 - Shapiro-Wilk p-value: 0.13727
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 499.7 249.83 28.19 1.13e-06 ***
## Residuals 21 186.1 8.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing LV_EF ===
## Group: 1 - Shapiro-Wilk p-value: 0.7216424
## Group: 2 - Shapiro-Wilk p-value: 0.08557099
## Group: 3 - Shapiro-Wilk p-value: 0.4258549
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 1760.8 880.4 21.82 7.47e-06 ***
## Residuals 21 847.3 40.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing pslax_avg_strain_rate ===
## Group: 1 - Shapiro-Wilk p-value: 0.9431145
## Group: 2 - Shapiro-Wilk p-value: 0.432873
## Group: 3 - Shapiro-Wilk p-value: 0.6978038
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 19.32 9.661 2.175 0.139
## Residuals 21 93.28 4.442
##
## === Testing LV_mass_cor ===
## Group: 1 - Shapiro-Wilk p-value: 0.836246
## Group: 2 - Shapiro-Wilk p-value: 0.7363654
## Group: 3 - Shapiro-Wilk p-value: 0.01029446
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 13.76, df = 2, p-value = 0.001028
##
##
## === Testing LVAW_sys ===
## Group: 1 - Shapiro-Wilk p-value: 0.02487974
## Group: 2 - Shapiro-Wilk p-value: 0.7763618
## Group: 3 - Shapiro-Wilk p-value: 0.3576033
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 1.9705, df = 2, p-value = 0.3734
##
##
## === Testing LVAW_dias ===
## Group: 1 - Shapiro-Wilk p-value: 0.116632
## Group: 2 - Shapiro-Wilk p-value: 0.0288811
## Group: 3 - Shapiro-Wilk p-value: 0.03118992
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 10.278, df = 2, p-value = 0.005862
##
##
## === Testing LVPW_sys ===
## Group: 1 - Shapiro-Wilk p-value: 0.6248402
## Group: 2 - Shapiro-Wilk p-value: 0.422403
## Group: 3 - Shapiro-Wilk p-value: 0.04986185
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 0.27495, df = 2, p-value = 0.8716
##
##
## === Testing LVPW_dias ===
## Group: 1 - Shapiro-Wilk p-value: 0.0002782286
## Group: 2 - Shapiro-Wilk p-value: 0.5440517
## Group: 3 - Shapiro-Wilk p-value: 0.9244963
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 8.615, df = 2, p-value = 0.01347
##
##
## === Testing sax_avg_strain ===
## Group: 1 - Shapiro-Wilk p-value: 0.2339289
## Group: 2 - Shapiro-Wilk p-value: 0.1478743
## Group: 3 - Shapiro-Wilk p-value: 0.9424121
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 653.7 326.8 18.87 2.04e-05 ***
## Residuals 21 363.8 17.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing LA_EF ===
## Group: 1 - Shapiro-Wilk p-value: 0.4250273
## Group: 2 - Shapiro-Wilk p-value: 0.5301352
## Group: 3 - Shapiro-Wilk p-value: 0.7685072
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 3903 1951.6 19.2 1.82e-05 ***
## Residuals 21 2135 101.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing LA_edv ===
## Group: 1 - Shapiro-Wilk p-value: 0.6760941
## Group: 2 - Shapiro-Wilk p-value: 0.5494286
## Group: 3 - Shapiro-Wilk p-value: 0.07439423
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 1940 970.0 10.96 0.000551 ***
## Residuals 21 1859 88.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing LA_esv ===
## Group: 1 - Shapiro-Wilk p-value: 0.9269597
## Group: 2 - Shapiro-Wilk p-value: 0.338382
## Group: 3 - Shapiro-Wilk p-value: 0.07464182
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 2031 1015.7 8.351 0.00215 **
## Residuals 21 2554 121.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing LA_strain_mean ===
## Group: 1 - Shapiro-Wilk p-value: 0.4260443
## Group: 2 - Shapiro-Wilk p-value: 0.2935954
## Group: 3 - Shapiro-Wilk p-value: 0.1389014
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 1560 780.0 14.55 0.000108 ***
## Residuals 21 1126 53.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing Ao_pk_vel ===
## Group: 1 - Shapiro-Wilk p-value: 0.03615476
## Group: 2 - Shapiro-Wilk p-value: 0.01561365
## Group: 3 - Shapiro-Wilk p-value: 0.6822679
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 20.48, df = 2, p-value = 3.571e-05
##
##
## === Testing mitral_EA_ratio ===
## Group: 1 - Shapiro-Wilk p-value: 0.2662143
## Group: 2 - Shapiro-Wilk p-value: 3.352499e-06
## Group: 3 - Shapiro-Wilk p-value: 0.04987265
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 6.496, df = 2, p-value = 0.03885
##
##
## === Testing sys_length_norm ===
## Group: 1 - Shapiro-Wilk p-value: 0.05910918
## Group: 2 - Shapiro-Wilk p-value: 0.6446468
## Group: 3 - Shapiro-Wilk p-value: 0.613031
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 230.4 115.21 1.365 0.277
## Residuals 21 1771.9 84.37
##
## === Testing sys_im_length_norm ===
## Group: 1 - Shapiro-Wilk p-value: 0.01161045
## Group: 2 - Shapiro-Wilk p-value: 0.4599535
## Group: 3 - Shapiro-Wilk p-value: 0.5510796
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 4.205, df = 2, p-value = 0.1222
##
##
## === Testing isys_im_length_norm ===
## Group: 1 - Shapiro-Wilk p-value: 0.7691392
## Group: 2 - Shapiro-Wilk p-value: 0.346804
## Group: 3 - Shapiro-Wilk p-value: 0.08935689
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 378.1 189.03 10.65 0.00064 ***
## Residuals 21 372.6 17.74
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing dsys_im_length_norm ===
## Group: 1 - Shapiro-Wilk p-value: 0.5127237
## Group: 2 - Shapiro-Wilk p-value: 0.355723
## Group: 3 - Shapiro-Wilk p-value: 0.02018318
## At least one group is non-normal. Performing Kruskal-Wallis test.
##
## Kruskal-Wallis rank sum test
##
## data: column_data by study_type
## Kruskal-Wallis chi-squared = 13.155, df = 2, p-value = 0.001391
##
##
## === Testing isys_dsys_length_ratio ===
## Group: 1 - Shapiro-Wilk p-value: 0.1734391
## Group: 2 - Shapiro-Wilk p-value: 0.101703
## Group: 3 - Shapiro-Wilk p-value: 0.3565814
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 21510 10755 9.816 0.000978 ***
## Residuals 21 23009 1096
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## === Testing isys_dsys_long_ratio ===
## Group: 1 - Shapiro-Wilk p-value: 0.3743839
## Group: 2 - Shapiro-Wilk p-value: 0.3610178
## Group: 3 - Shapiro-Wilk p-value: 0.892146
## All groups appear normal. Performing ANOVA.
## Df Sum Sq Mean Sq F value Pr(>F)
## study_type 2 16286 8143 25.27 2.58e-06 ***
## Residuals 21 6768 322
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Significance Between Groups
Bar Charts for the Data
Figure 3
Heatmap OLO
Heatmap Type Grouping Only
Heatmap Type Grouping w/Clustering
Heatmap Dimension Grouping Only
Heatmap Dimension Grouping w/Clustering
Correlation Graphs
Overall Correlation Table
Figure 4 (Paired TAC-deTAC)
Correlation Data Table
Correlation Plots
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
ROC Plots
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
ROC Data Table
PCA (Supplemental)
Plots
## mouse_ID study_type true_mitral calc_mitral true_aortic calc_aortic sys_pk
## 2 c28s3 tac 1.816 1.8 1.287 1.3 65.938
## 5 c27s3 tac 1.616 1.6 1.295 1.3 57.162
## 8 c22s3 tac 1.627 1.6 1.219 1.2 48.919
## 11 c22s1 tac 1.659 1.7 1.523 1.5 62.570
## 14 c22s2 tac 1.890 1.9 1.493 1.5 36.157
## 17 c43s2 tac 1.682 1.7 1.472 1.5 65.822
## 20 c43s3 tac 1.880 1.9 1.494 1.5 58.531
## 23 c44s1 tac 1.772 1.8 1.263 1.3 52.240
## ewave_long_rms ewave_ratio_rms ewave_angle cycle_length cycle_long_rms
## 2 83.6 8.3 83 109 54.3
## 5 27.2 17.1 78 146 31.5
## 8 90.0 10.3 81 100 51.4
## 11 64.1 7.2 83 107 42.6
## 14 75.9 21.4 75 107 41.0
## 17 108.5 13.4 78 110 64.1
## 20 79.8 4.1 86 115 55.3
## 23 93.4 20.1 73 110 55.3
## cycle_trans_rms cycle_ratio_rms cycle_angle sys_length sys_im_length
## 2 4.2 7.8 83 55 43
## 5 4.3 13.6 81 59 52
## 8 5.8 11.3 80 49 46
## 11 4.7 10.9 79 45 37
## 14 10.9 26.7 71 66 56
## 17 7.9 12.3 81 76 69
## 20 5.4 9.8 80 53 46
## 23 11.8 21.3 75 64 57
## sys_im_angle sys_im_AUC sys_im_long_rms sys_im_trans_rms isys_im_length
## 2 86 5.1 33.7 1.9 8
## 5 87 8.7 37.0 1.7 9
## 8 81 2.6 27.4 3.5 9
## 11 76 3.7 33.9 5.9 8
## 14 70 2.1 17.3 4.9 14
## 17 85 5.0 27.0 1.7 11
## 20 79 4.8 32.4 6.1 8
## 23 86 5.6 32.1 2.0 6
## isys_im_long_rms dsys_im_length dsys_im_long_rms lsys_long_rms myo_GCS
## 2 51.8 35 29.2 6.0 -10.53
## 5 44.8 42 35.8 16.7 -12.31
## 8 37.1 37 25.6 10.5 -6.27
## 11 52.4 29 29.9 14.2 -8.28
## 14 25.3 32 17.1 9.0 -9.00
## 17 40.6 48 26.9 34.5 -11.03
## 20 49.6 39 29.0 5.2 -10.14
## 23 46.0 51 30.7 63.6 -11.21
## myo_GLS endo_GCS endo_GLS LV_EF pslax_avg_strain_rate LV_mass_cor LVAW_sys
## 2 -7.12 -18.90 -9.08 41.28 5.11 134.51 1.60
## 5 -11.58 -20.05 -14.86 44.81 3.97 150.75 1.57
## 8 -4.90 -11.17 -7.01 26.73 3.44 142.75 1.41
## 11 -4.22 -13.98 -6.52 32.22 3.59 166.54 1.36
## 14 -6.28 -14.26 -9.97 31.73 6.80 156.64 1.20
## 17 -7.37 -19.34 -10.84 42.13 6.98 152.35 1.98
## 20 -8.63 -19.34 -11.79 41.81 8.41 155.63 1.78
## 23 -9.08 -18.92 -12.51 41.41 6.39 131.58 1.40
## LVAW_dias LVPW_sys LVPW_dias sax_avg_strain LA_EF LA_edv LA_esv
## 2 1.20 1.07 1.02 -20.24 33.64 4.29 6.47
## 5 1.14 1.37 1.14 -20.04 31.74 14.26 20.89
## 8 1.07 1.16 0.98 -10.07 11.77 45.95 52.08
## 11 1.07 1.06 1.01 -15.35 15.91 38.28 45.52
## 14 1.11 0.79 0.68 -16.92 15.47 37.84 44.76
## 17 1.57 1.21 0.86 -13.52 25.83 23.84 32.14
## 20 1.34 1.20 1.04 -19.22 21.82 30.67 39.23
## 23 1.15 1.24 0.91 -20.17 18.26 7.03 8.61
## LA_strain_mean Ao_pk_vel mitral_EA_ratio sys_length_norm sys_im_length_norm
## 2 9.633 -3984.27 1.17 50.45872 39.44954
## 5 9.967 -3316.90 1.00 40.41096 35.61644
## 8 2.467 -4117.87 1.00 49.00000 46.00000
## 11 5.400 -3958.07 3.50 42.05607 34.57944
## 14 4.033 -3264.13 0.99 61.68224 52.33645
## 17 6.133 -4085.21 0.99 69.09091 62.72727
## 20 5.267 -3960.24 1.00 46.08696 40.00000
## 23 4.533 -3214.00 1.00 58.18182 51.81818
## isys_im_length_norm dsys_im_length_norm isys_dsys_length_ratio
## 2 7.339450 32.11009 22.85714
## 5 6.164384 28.76712 21.42857
## 8 9.000000 37.00000 24.32432
## 11 7.476636 27.10280 27.58621
## 14 13.084112 29.90654 43.75000
## 17 10.000000 43.63636 22.91667
## 20 6.956522 33.91304 20.51282
## 23 5.454545 46.36364 11.76471
## isys_dsys_long_ratio LV_EF_detac condition
## 2 177.3973 56.90 1
## 5 125.1397 59.95 1
## 8 144.9219 46.19 0
## 11 175.2508 42.84 0
## 14 147.9532 51.82 1
## 17 150.9294 61.58 1
## 20 171.0345 43.25 0
## 23 149.8371 49.60 0
