Why the study?
This study aimed to estimate the impact of CRP, serum albumin, lipids, and heart rate variability on sudden cardiac death in chronic hemodialysis patients to identify the strongest predictor.
Does heart rate variability (SDNN) predict sudden cardiac death in chronic hemodialysis patients?
Does heart rate variability (SDNN) predict sudden cardiac death in chronic hemodialysis patients?
Heart rate variability (SDNN) is a strong, independent predictor of sudden cardiac death in chronic hemodialysis patients, outperforming standard biomarkers like hs-CRP and albumin.
May support SDNN for SCD risk stratification in hemodialysis; leaves open need for validation before clinical use.
Introduction: This study aimed to estimate the impact of the C-reactive protein (CRP), serum albumin, lipids, and heart rate variability (HRV) on sudden cardiac death (SCD) in chronic hemodialysis patients (CHPs) to derive the strongest predictor for SCD. Methods: In this prospective study, 90 CHPs, average age 59.2 ± 11.4 years, were observed over a three-year follow-up period to detect SCD. HRV, with a focus on standard deviation of normal-to-normal intervals (SDNN), was measured using a 12- channel ECG. Peripheral blood samples were obtained from all participants, followed by routine blood tests: urea, creatinine, lipid status, hemoglobin, hs-CRP, albumin, and calcium - phosphorus product. Key Findings: The mean SDNN was 107.97 ± 24.51 ms. Among CHPs, SDNN was significantly lower in deceased patients (79.20 ± 14.84 ms) compared to survivors (106.91 ± 23.09 ms, P = 0.0097). The mean survival time for SCD was 34.8 ± 5.3 months. Cox regression coefficients b (-0.1146, 0.1224, 0.0781, and 0.0934), hazard ratio (HR) (0.8917, 1.1303, 1.0812, and 1.0979), and p-value (0.042, 0.203, 0.680 and 0.378) for SDNN, hs-CRP, albumin and hemodialysis (HD) duration, respectively, showed strongest predictive impact for SCD of HRV (SDNN) covariate, with hazard rate rising by 1.12145 (12.45%) for every single unit decrease of SDNN. Receiver operating characteristics (ROC) analyses for SDNN were as follows: area under the curve (AUC) = 0.835 (P < 0.001), with a cut-off value of ≤84 ms (sensitivity 80.0%, specificity = 83.53%). AUC results for covariate albumin (AUC = 0.542, P = 0.766), CRP (AUC = 682, P = 0.204), and HD duration (AUC = 0.558, P = 0.717) did not reach significance in predicting the risk for SCD. Conclusion: HRV proved to be a robust and independent predictor of sudden SCD in CHPs, with HR increasing by 11.48% for each unit decrease in SDNN (ms). In contrast, hs-CRP, serum albumin, lipids, and HD did not demonstrate a statistically significant effect on SCD risk prediction in CHPs.
No takes yet. Share an insight, caveat, or question.
Avramovski et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: