Key result
Fully automated LVGLS measurement predicted adverse events in heart transplant recipients (AUC 0.617), though semiautomated (AUC 0.887) and manual (AUC 0.842) methods demonstrated superior prognostic capability.
Why the study?
LVGLS predicts adverse events in heart transplant recipients, but measurement is time-consuming and operator-dependent.
Does fully automated LVGLS measurement accurately predict adverse events and assess graft function in heart transplant recipients compared to manual measurement?
Cohort (n=286)
No
Does fully automated LVGLS measurement accurately predict adverse events and assess graft function in heart transplant recipients compared to manual measurement?
Fully automated LVGLS measurement is feasible and rapid for assessing graft function in heart transplant recipients, though semiautomated measurement offers superior prognostic accuracy for adverse events.
Automated LVGLS is faster yet less prognostic than manual methods in transplant recipients; leaves open routine adoption without further accuracy validation.
Aims Left ventricular longitudinal strain (LVGLS) is a robust parameter for predicting adverse events in patients who have undergone a heart transplant (HTx). However, measuring LVGLS is time-consuming and operator-dependent. Thus, we investigated whether automated strain software for LVGLS measurement has feasibility, reproducibility, and prognostic value in patients who underwent an HTx. Methods In total, 286 patients who had undergone heart transplants and comprehensive echocardiography were included. LVGLS was obtained from the same apical images by three different methods, namely, fully automated LVGLS measurement (Auto-Strain), semiautomated LVGLS measurement (automated with manual editing), and manual LVGLS measurement. Patients were followed up and the primary composite endpoint (defined as all-cause death and rejection) was recorded. Results Fully automated measurements were feasible in 277 subjects (96.8%). Analysis times for the automated LVGLS (27.7 ± 2.8 s/patient) and the semiautomated LVGLS measurement methods (237.4 ± 41.0 s/patient) were shorter than for the manual LVGLS measurement method (440.4 ± 65 s/patient). The semiautomated LVGLS measurement method showed a stronger correlation with the manual LVGLS measurement method than the automated LVGLS measurement method (r = 0.854 vs. 0.654, P < 0.001), and there were smaller disagreements between the semiautomated LVGLS and manual LVGLS measurement methods [bias: 0.79, limits of agreement (LOA): 2.78] than between the automated LVGLS and manual LVGLS measurement methods (bias: 2.72, LOA: 3.98). During a median follow-up of 51 months (35.0–66.5 months), 35 patients experienced endpoint events. The automated LVGLS measurement method can detect abnormal systolic function and predict adverse events in patients who have undergone an HTx, while the detection and prediction ability of semiautomated the LVGLS measurement method was greater. Conclusions Fully automated LVGLS measurement enables rapid and reproducible assessment of graft function in patients who have undergone an HTx. Furthermore, the automated LVGLS measurement method detected abnormal systolic function and predicted adverse events, while the semiautomated LVGLS measurement method performed better in these aspects.
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Wu et al. (2025) conducted a cohort in Heart transplant recipients (n=286). Fully automated measurement of left ventricular longitudinal strain (LVGLS) vs. Semiautomated and manual LVGLS measurement was evaluated on Composite of all-cause death and graft rejection (AUC 0.617, 95% CI 0.557-0.674, p=<0.001). Fully automated LVGLS measurement predicted adverse events in heart transplant recipients (AUC 0.617), though semiautomated (AUC 0.887) and manual (AUC 0.842) methods demonstrated superior prognostic capability.
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