Criteria for diagnosis of humoral rejection using the method of 2D-speckle-tracking echocardiography

Abstract

Aim:to identify predictors of humoral rejection at different stages using non-invasive methods of 2D-speckletracking echocardiography, to determine the correlation with immunological changes.Materials and methods.The study was conducted on the basis of Regional Clinic Hospital of Krasnodar from 2010 to 2017. The analysis of 181 heart recipients was performed. 5 groups were allocated due to the crisis of humoral rejection and the identified antibodies to donor leukocyte antigens (HLA antibodies): group 1 (n = 10) – DSA and humoral rejection, group 2 (n = 7), patients with non-DSA and humoral rejection, group 3 (n = 17) – patients with antibodies to HLA, no humoral rejection, group 4 (n = 11), humoral crisis of rejection, with no identified HLA antibodies, group 5 (n = 87) – patients do not have antibodies to HLA and signs of both humoral and cellular rejection according to EMB. Recipients were carried out endomyocardial biopsy, immunological study, 2D-speckle-tracking echocardiography, statistical methods.Results.The diagnostic criteria for a humoral rejection is greater than 1 degree are global peak systolic strain or strain rate of left ventricle (GLPSLV) – 9.94 ± 1.37% (the sensitivity was 86.2%, specificity – 90.4%); radial systolic strain (RadSLV) of 19.36 ± 3.66% (sensitivity was 75.8%, specificity – 84.5%); circumferential systolic strain (CiRSLV) – 17.83 ± 4.79% (sensitivity was 78.6%, specificity – 84.4%); the twisting of the left ventricle (twist) – 8.90 ± 1.85% (sensitivity – 66.7%, specificity – 94.2%), p < 0.001. When considering indicators GLPSLV and longitudinal peak strain of the right ventricle (GLPSRV) in the diagnosis of humoral rejection sensitivity increases to 91.9%, specificity increases to 94.6%, p < 0.001.Conclusion.GLPSLV has greater sensitivity at the stage of subclinical changes. It is more significantly reduced with increasing degree of rejection associated with episodes of rejection in comparison with other parameters and deformation mechanics. The interrelation between histological and immunological changes and impaired myocardial deformation. The proposed diagnostic algorithm will predict humoral rejection.