The impact of cardiac loading on a novel metric of left ventricular diastolic function in healthy middle‐aged adults: Systolic–diastolic coupling

Figures

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  FIGURE 1. Early diastolic velocity (E’) and systolic velocity (S’) have differential response to preload. Average (black) and individual linear regressions (gray) for subjects’ e’ (left) and s’ (right) as influenced by pulmonary capillary wedge pressure (PCWP). The slope value shown is the fixed effect slope and p value of a random regression model. Slope and p value shown derived from random regression coefficients model. Mean R 2 is derived from linear regressions of individual participants (n = 61, 52% identified as women, 48% identified as men)

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  FIGURE 2. Early diastolic excursion (EDexc) and systolic excursion (Sexc) have similar response to preload. Average (black) and individual linear regressions (gray) for subjects’ EDexc (left) and Sexc (right) as influenced by pulmonary capillary wedge pressure (PCWP). The slope value shown is the fixed effect slope and p value of a random regression model. Slope and p value shown derived from random regression coefficients model. Mean R 2 is derived from linear regressions of individual participants (n = 61, 52% identified as women, 48% identified as men)

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  FIGURE 3. Metrics of systolic–diastolic coupling across loading conditions show different response to preload: left panel demonstrates no change in excursion (EDexc/Sexc) ratio with changes to pulmonary capillary wedge pressure (PCWP) while right panel show a significant change in velocity (E’/S’) ratio with changes to PCWP. Individual linear regressions for subjects are shown in gray and average regression shown in black. The slope value shown is the fixed effect slope and p value of a random regression model. Mean R 2 is derived from linear regressions of individual participants (n = 61, 52% identified as women, 48% identified as men)