Key result
Plasma renalase concentration provided significant discrimination for the prediction of ischemia in patients with chronic heart failure (AUC 0.753), demonstrating similar discriminatory potential to BNP.
Why the study?
Renalase has been implicated in chronic heart failure, but its discriminatory ability and prognostic evaluation were unknown.
Does plasma renalase concentration predict ischemia during exercise stress testing in patients with chronic heart failure?
Cross-Sectional (n=77)
No
Does plasma renalase concentration predict ischemia during exercise stress testing in patients with chronic heart failure?
Effect estimate: AUC 0.753 (95% CI 0.635-0.871)
Absolute Event Rate: 0.753% vs 0.837%
p-value: p=0.006
Plasma renalase demonstrates significant discriminatory ability for predicting ischemia in patients with HFrEF, performing similarly to sST2 but remaining inferior to BNP.
Renalase may aid ischemia prediction in chronic HF; leaves open incremental value over BNP pending prospective validation.
Background: Renalase has been implicated in chronic heart failure (CHF); however, nothing is known about renalase discriminatory ability and prognostic evaluation. The aims of the study were to assess whether plasma renalase may be validated as a predictor of ischemia in CHF patients stratified to the left ventricular ejection fraction (LVEF) and to determine its discriminatory ability coupled with biomarkers representing a range of heart failure (HF) pathophysiology: brain natriuretic peptide (BNP), soluble suppressor of tumorigenicity (sST2), galectin-3, growth differentiation factor 15 (GDF-15), syndecan-1, and cystatin C. Methods: A total of 77 CHF patients were stratified according to the LVEF and were subjected to exercise stress testing. Receiver operating characteristic curves were constructed, and the areas under curves (AUC) were determined, whereas the calibration was evaluated using the Hosmer-Lemeshow statistic. A DeLong test was performed to compare the AUCs of biomarkers. Results: Independent predictors for ischemia in the total HF cohort were increased plasma concentrations: BNP ( p = 0.008), renalase ( p = 0.012), sST2 ( p = 0.020), galectin-3 ( p = 0.018), GDF-15 ( p = 0.034), and syndecan-1 ( p = 0.024), whereas after adjustments, only BNP ( p = 0.010) demonstrated predictive power. In patients with LVEF <45% (HFrEF), independent predictors of ischemia were BNP ( p = 0.001), renalase ( p < 0.001), sST2 ( p = 0.004), galectin-3 ( p = 0.003), GDF-15 ( p = 0.001), and syndecan-1 ( p < 0.001). The AUC of BNP (0.837) was statistically higher compared to those of sST2 (DeLong test: p = 0.042), syndecan-1 (DeLong: p = 0.022), and cystatin C (DeLong: p = 0.022). The AUCs of renalase (0.753), galectin-3 (0.726), and GDF-15 (0.735) were similar and were non-inferior compared to BNP, regarding ischemia prediction. In HFrEF patients, the AUC of BNP (0.980) was statistically higher compared to those of renalase (DeLong: p < 0.001), sST2 (DeLong: p < 0.004), galectin-3 (DeLong: p < 0.001), GDF-15 (DeLong: p = 0.001), syndecan-1 (DeLong: p = 0.009), and cystatin C (DeLong: p = 0.001). The AUC of renalase (0.814) was statistically higher compared to those of galectin-3 (DeLong: p = 0.014) and GDF-15 (DeLong: p = 0.046) and similar to that of sST2. No significant results were obtained in the patients with LVEF >45%. Conclusion: Plasma renalase concentration provided significant discrimination for the prediction of ischemia in patients with CHF and appeared to have similar discriminatory potential to that of BNP. Although further confirmatory studies are warranted, renalase seems to be a relevant biomarker for ischemia prediction, implying its potential contribution to ischemia-risk stratification.
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Stojanović et al. (2021) conducted a cross-sectional in Chronic Heart Failure (n=77). Plasma renalase concentration vs. BNP and other cardiac remodeling biomarkers was evaluated on Discriminatory ability (AUC) for prediction of ischemia during exercise stress testing (AUC 0.753, 95% CI 0.635-0.871, p=0.006). Plasma renalase concentration provided significant discrimination for the prediction of ischemia in patients with chronic heart failure (AUC 0.753), demonstrating similar discriminatory potential to BNP.
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