Pulled from PubMed
Javier Briceño 1, María Dolores Ayllón, Rubén Ciria
Alex J Chang 1, Brian J Wayda 2, Shiqi Zhang 3, Yingjie Weng 3, Kiran K Khush 2, Jonathan G Zaroff 4
BACKGROUND: Left ventricular dysfunction is common in potential heart donors after brain death, but specific regional wall motion abnormality (RWMA) patterns in this population have not been well described. OBJECTIVES: This study aims to define and characterize RWMA patterns in potential heart donors after brain death by using a machine learning algorithm. METHODS: The Donor Heart Study enrolled 4,333 potential heart donors after brain death. All had a transthoracic echocardiogram (TTE) including RWMA assessment, with each segment analyzed for WMS (Wall Motion Score). Those with any RWMA (ie, any WMS >1) were classified using k-means clustering, and each cluster’s associations with donor clinical characteristics, heart use, and recipient survival were assessed. RESULTS: The final analytical cohort included 913 initial TTEs. We identified 4 unique RWMA phenotypes: focal basal septal (FBS) (n = 500), basal and midventricular (n = 311), apical (n = 66), and global hypokinesis (n = 36). These phenotypes exhibited similar donor characteristics but differed in troponin, N-terminal pro-B-type natriuretic peptide levels (both lowest in FBS), and left ventricular ejection fraction (LVEF) (highest in FBS). On subsequent TTEs (performed in 314 donors with any RWMA), all phenotypes demonstrated significant improvement in LVEF. The FBS phenotype had the highest donor heart acceptance for transplantation (68%). Of the hearts accepted for transplantation, there were no significant differences by RWMA phenotype in recipient survival. CONCLUSIONS: Left ventricular dysfunction after brain death exhibits distinct RWMA phenotypes, which differ in terms of selected biomarkers and LVEF, but not in recipient survival of the hearts accepted for transplantation.