Correlations among noninvasive right ventricular myocardial work indices and the main parameters of systolic and diastolic functions

Abstract

Background: Right ventricular (RV) myocardial work (RVMW) is the latest method used to assess RV function. To date, correlations among RVMW indices and RV systolic and diastolic functions have not been studied.Methods: A total of 106 healthy volunteers (median age, 34 years; 46% male) were prospectively enrolled. RVMW indices were measured using the RV pressure-strain loop using specific software. The correlations among RVMW indices and other RV functions were analyzed. Results: During the multivariate analysis, the RV global work index (RVGWI) was significantly correlated with RV global longitudinal strain (RV GLS) (p < .0001), pulmonary systolic artery pressure (PASP) (p < .0001), and tricuspid annular (TA) plane systolic excursion (TAPSE) (p = .036). RV global constructive work (RVGCW) was correlated with RV GLS (p < .0001) and PASP (p < .0001). RV global wasted work (RVGWW) was correlated with RV GLS (p = .008) and TA isovolumetric acceleration (TA IVA) (p = .008). RV global work efficiency (RVGWE) was correlated with RV GLS (p < .0001) and tissue Doppler (TD) RV myocardial performance index (TD RMPI) (p = .043). Conclusion: RVMW indices showed good correlations with RV myocardial systolic function.

Is noninvasive right ventricular myocardial work analysis the right way for functional assessment of the right ventricle?

“…Importantly there was a significant sex difference, with lower values for RV GWI and RV GCW in males, whereas RV GWE (i.e., RV efficacy) was the same in both sexes. 6 Inter-observer variability for all RV MW indices was very good (intraclass correlation coefficient above 90%). 6 Generally speaking, when a new parameter is invented, its correlation with the parameters that have been used for the same purpose (e.g., for RV function quantification) is important.…”

“…6 Inter-observer variability for all RV MW indices was very good (intraclass correlation coefficient above 90%). 6 Generally speaking, when a new parameter is invented, its correlation with the parameters that have been used for the same purpose (e.g., for RV function quantification) is important. However, these correlations do not obligatory need to be as higher as possible, especially if new parameter gives a different approach with potential to overcome limitations of its predecessor.…”

“…Inter‐observer variability for all RV MW indices was very good (intraclass correlation coefficient above 90%) 6 …”

“…The values of RV myocardial work indices are comparable (little lower) to the Butcher series (RV GWI 286 [IQR: 233.337] mm Hg%, RV GCW 343 [IQR: 282.402] mm Hg%, RV GWW 20 [IQR 11.31] mm Hg%, RV GWE 93 [IQR: 89.96] %). Importantly there was a significant sex difference, with lower values for RV GWI and RV GCW in males, whereas RV GWE (i.e., RV efficacy) was the same in both sexes 6 …”

“…Butcher at al included 22 healthy voluntary individuals and found normal values as follow: RV GWI 381 ± 103.6 mm Hg%, RV GCW 414 mm Hg%, RV GWW 14.8 mm Hg%, RVGWE 95.5% 5 . The paper of Wu et al, 6 published in this issue of the JCU presents the first analysis of RV MWI in a larger series of healthy people, offering normal reference values for RV MWI. It included 106 healthy volunteers.…”