Longitudinal diastolic strain slope as an early sign for systolic dysfunction among patients with active cancer
SourceClinical Research in Cardiology, 110, 4, (2021), pp. 569-578
Article / Letter to editor
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Clinical Research in Cardiology
SubjectRadboudumc 16: Vascular damage RIHS: Radboud Institute for Health Sciences
BACKGROUND: Diastolic dysfunction is a common finding in patients receiving cancer therapy. This study evaluated the correlation of diastolic strain slope (Dss) with routine echocardiography diastolic parameters and its role in early detection of systolic dysfunction and cardiovascular (CV) mortality within this population. METHODS: Data were collected from the Israel Cardio-Oncology Registry (ICOR), a prospective registry enrolling adult patient receiving cancer therapy. All patients performed at least three echocardiography exams (T1, T2, T3), including left ventricle Global Longitudinal Strain (LV GLS) and Dss. Systolic dysfunction was determined by either LV GLS relative reduction of ≥ 15% or LV ejection fraction reduction > 10% to < 53%. Dss was assessed as the early lengthening rate, measured by the diastolic slope (delta%/sec). RESULTS: Among 144 patients, 114 (79.2%) were female with a mean age of 57.31 ± 14.3 years. Dss was significantly correlated with e' average. Mid segment Dss change between T1 and T2 showed significant association to systolic dysfunction development (Odds Ratio (OR) = 1.04 [1.01,1.06]. p = 0.036). In multivariate prediction, Dss increase was a significant predictor for the development of systolic dysfunction (OR = 1.06 [1.03,1.1], P < 0.001).An 8% increase in Dss between T1 and T2 was associated with a trend in increased CV mortality (HR = 3.4 [0.77,15.4], p = 0.085). CONCLUSIONS: This study is the first to use the novel measurement of Dss in patients treated with cancer therapies and to show significant correlation between routine diastolic dysfunction parameters and Dss. Changes in the mid segment were found to have significant independent early predictive value for systolic dysfunction development in univariate and multivariate analyses.
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