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February 9, 2014Nephrology Dialysis Transplantation72 citationsOpen Access

The association between left ventricular global longitudinal strain, renal impairment and all-cause mortality

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RKRathika KrishnasamySunshine Coast University HospitalNINicole M. IsbelThe University of QueenslandCHCarmel M. HawleyThe University of Queensland

Key Result

Global longitudinal strain was a significant predictor of all-cause mortality (HR 1.08; 95% CI 1.01-1.15) in patients with chronic kidney disease.

Study Design

Type

Cohort (n=447)

Multicenter

No

Structured PICO

Does left ventricular global longitudinal strain (GLS) improve risk prediction for all-cause mortality in patients with chronic kidney disease?

P
Population
447 patients with chronic kidney disease from a single center, followed for a mean of 5.2 years.
E
Exposure
Left ventricular global longitudinal strain (GLS) assessment calculated using two-dimensional speckle tracking echocardiography
C
Comparator
Clinical factors and conventional ejection fraction (EF) measured using Simpson's biplane
O
Outcome
All-cause mortalityhard clinical

Global longitudinal strain is an independent predictor of all-cause mortality in patients with chronic kidney disease and significantly improves risk stratification over traditional clinical factors.

Main Result

Hazard Ratio: 1.08 (95% CI 1.01–1.15)

Abstract

BACKGROUND: Left ventricular (LV) systolic dysfunction is an important predictor of cardiovascular death. Global longitudinal strain (GLS) is a widely available echocardiographic technique proven to be more sensitive than conventional ejection fraction (EF) in detecting subtle changes in LV function. However, the prognostic value of GLS in patients with chronic kidney disease (CKD) is unknown. METHODS: We studied 447 patients from a single center who were stratified according to estimated glomerular filtration rate (eGFR). GLS was calculated using two-dimensional speckle tracking and EF was measured using Simpson's biplane. Cox proportional hazard model was used to identify independent predictors of survival and measures of discrimination and reclassification were used to assess the predictive value of GLS. Multivariable regression models were used to evaluate clinical and laboratory factors associated with GLS. RESULTS: The mean EF was 58 ± 11% and GLS was -16.6 ± 4.2%. eGFR correlated negatively with GLS (r = -0.14, P = 0.004). Factors that were independently associated with GLS include gender, previous myocardial infarction, eGFR and phosphate (R(2) = 0.16, P < 0.001). Sixty-four patients died in a follow-up of 5.2 ± 1.4 years. GLS remained a significant predictor of all-cause mortality hazard ratio (HR) 1.08, 95% confidence interval (CI) 1.01-1.15 following adjustment for age, diabetes mellitus, hypertension, eGFR and left ventricular mass index (LVMI). The strength of association between demographic data, eGFR, LVMI and mortality increased following addition of GLS c-statistic 0.68 (95% CI 0.61-0.74) to 0.71 (95% CI 0.64-0.77), P = 0.04. Addition of GLS also demonstrated a 21% net reclassification improvement in risk prediction for all-cause mortality over clinical factors. CONCLUSIONS: GLS is an important predictor of all-cause mortality in CKD patients. Traditional and non-traditional risk factors such as phosphate are important determinants of GLS. Strain assessment in CKD patients may provide greater cardiovascular risk stratification.

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Cite This Study

Krishnasamy et al. (2014) conducted a cohort in Chronic kidney disease (CKD) (n=447). Global longitudinal strain (GLS) was evaluated on All-cause mortality (HR 1.08, 95% CI 1.01-1.15). Global longitudinal strain was a significant predictor of all-cause mortality (HR 1.08; 95% CI 1.01-1.15) in patients with chronic kidney disease.

synapsesocial.com/papers/6a218f7936bad5b948f1cc15https://doi.org/10.1093/ndt/gfu004
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