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April 4, 2014Journal of the American Society of Nephrology115 citationsOpen Access

Speckle Tracking Echocardiography Detects Uremic Cardiomyopathy Early and Predicts Cardiovascular Mortality in ESRD

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RKRafael KramannErasmus MCJEJohanna ErpenbeckRWTH Aachen UniversityRSRebekka K. SchneiderErasmus MC

Key Result

Peak global longitudinal strain assessed by speckle-tracking echocardiography significantly predicted cardiovascular mortality in dialysis patients (HR 1.17; 95% CI 1.07-1.28; P<0.001).

Study Design

Type

Cohort (n=171)

Structured PICO

Does speckle-tracking echocardiography predict cardiovascular mortality in ESRD patients undergoing dialysis?

P
Population
171 dialysis patients with ESRD, and two rat models of uremic cardiomyopathy
I
Intervention
Speckle-tracking echocardiography (global radial, circumferential, and longitudinal strain parameters)
C
Comparator
Standard echocardiography (ejection fraction, fractional shortening, cardiac output)
O
Outcome
Cardiovascular mortalityhard clinical

Speckle-tracking echocardiography detects uremic cardiomyopathy early and provides independent prognostic value for cardiovascular and all-cause mortality in ESRD patients on dialysis.

Main Result

Effect estimate: HR 1.17 (95% CI 1.07 to 1.28)

p-value: p=<0.001

Abstract

Cardiovascular mortality is high in ESRD, partly driven by sudden cardiac death and recurrent heart failure due to uremic cardiomyopathy. We investigated whether speckle-tracking echocardiography is superior to routine echocardiography in early detection of uremic cardiomyopathy in animal models and whether it predicts cardiovascular mortality in patients undergoing dialysis. Using speckle-tracking echocardiography in two rat models of uremic cardiomyopathy soon (4-6 weeks) after induction of kidney disease, we observed that global radial and circumferential strain parameters decreased significantly in both models compared with controls, whereas standard echocardiographic readouts, including fractional shortening and cardiac output, remained unchanged. Furthermore, strain parameters showed better correlations with histologic hallmarks of uremic cardiomyopathy. We then assessed echocardiographic and clinical characteristics in 171 dialysis patients. During the 2.5-year follow-up period, ejection fraction and various strain parameters were significant risk factors for cardiovascular mortality (primary end point) in a multivariate Cox model (ejection fraction hazard ratio HR, 0.97 95% confidence interval (95% CI), 0.95 to 0.99; P=0.012; peak global longitudinal strain HR, 1.17 95% CI, 1.07 to 1.28; P<0.001; peak systolic and late diastolic longitudinal strain rates HRs, 4.7 95% CI, 1.23 to 17.64; P=0.023 and 0.25 95% CI, 0.08 to 0.79; P=0.02, respectively). Multivariate Cox regression analysis revealed circumferential early diastolic strain rate, among others, as an independent risk factor for all-cause mortality (secondary end point; HR, 0.43; 95% CI, 0.25 to 0.74; P=0.002). Together, these data support speckle tracking as a postprocessing echocardiographic technique to detect uremic cardiomyopathy and predict cardiovascular mortality in ESRD.

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Cite This Study

Kramann et al. (2014) conducted a cohort in End-Stage Renal Disease (ESRD) (n=171). Speckle-tracking echocardiography vs. Standard echocardiography was evaluated on Cardiovascular mortality (HR 1.17, 95% CI 1.07 to 1.28, p=<0.001). Peak global longitudinal strain assessed by speckle-tracking echocardiography significantly predicted cardiovascular mortality in dialysis patients (HR 1.17; 95% CI 1.07-1.28; P<0.001).

synapsesocial.com/papers/6a0d8e951e1a6dfdb4baa368https://doi.org/10.1681/asn.2013070734
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