Clin Res Cardiol (2023). https://doi.org/10.1007/s00392-023-02180-w

Periodic Repolarization Dynamics (PRD) identifies patients who profit from ICD implantation – A meta-analysis of the predictive value of PRD
L. Sams1, M. Klemm1, M. Wörndl1, L. Bachinger1, L. E. Villegas Sierra1, S. Massberg1, K. Rizas1
1Medizinische Klinik und Poliklinik I, LMU Klinikum der Universität München, München;

Background:

Periodic repolarization dynamics (PRD) is an electrocardiographic biomarker that quantifies sympathetic-activity associated instabilities of cardiac repolarization. PRD is a strong predictor of mortality and sudden cardiac death in patients with ischaemic (ICM) and non-ischaemic cardiomyopathy (NICM) and has been proposed as a marker for identification of patients who might benefit from prophylactic ICD implantation. 

Purpose: 

To conduct a systematic review and meta-analysis concerning the prognostic value of PRD for predicting all-cause mortality in relation to prophylactic ICD-implantation.

Methods: 

The reporting of this meta-analysis follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A total of 24 full-text articles were screened. 7 randomized and non-randomized controlled trials were identified and after exclusion of 2 trials, a total of 5 could be included in the final analysis (Fig.1). Included patients were stratified into patients with or without prophylactic ICD-implantation (Fig. 2). The prognostic value of PRD for predicting all-cause mortality was extracted from published data as hazard ratio (HR) per 1deg2 increase in PRD.  We used inverse-variance-weighted average meta-analysis to calculate fixed-effect and random-effect models. We finally estimated the overall predictive value of PRD in patients with and without prophylactic ICD-implantation. The interaction between PRD and prophylactic ICD-implantation for predicting all-cause mortality was calculated using meta-regression analysis. All-analyses were performed using CRAN R v.4.1.2 and the meta-package v5.2.0.

Results: 

We included 4,338 patients in this meta-analysis, out of whom 3,167 (73%) suffered from ICM and 1,171 (27%) from NICM. 1,906 (44%) patients were treated with an ICD. During an estimated mean follow-up time of 3.2 years, 604 (14%) patients died. The left side of Figure 2 shows patients without ICD treatment (N = 2,432, 56%). In these patients, a 1deg2 increase in PRD was significantly associated with an overall 8% increase in all-cause mortality, using both fixed-effect (HR 1.08; 95% CI 1.06-1.10; p< 0.001) and random-effect models (HR 1.08; 95% CI 1.06-1.11; p < 0.001). The right side of Figure 2 displays patients with ICD treatment (N=1,906) and summarizes the prognostic value of PRD in patients undergoing prophylactic ICD-implantation (N = 1,906). In these patients, a 1deg2 increase in PRD was significantly associated with an overall 3% increase in all-cause mortality using both fixed-effect (HR 1.03; 95% CI 1.01-1.05; p< 0.001) and random-effect models (HR 1.03; 95% CI 1.00-1.06; p < 0.001). In patients from the EU-CERT-ICD and the DANISH trial treated with an ICD an increase in PRD was not significantly associated with an increase in all-cause mortality. While PRD was a significant predictor of mortality in both groups, there was a significant interaction between PRD and prophylactic ICD-implantation for predicting all-cause mortality (p = 0.008).

Conclusion: 

In patients with ICM and NICM, PRD is a strong predictor of all-cause mortality in patients with and without prophylactic ICD. There is a significant interaction between PRD and prophylactic ICD-implantation, which most probably implies that the increased risk identified by PRD can be partially reversed by a prophylactic ICD-implantation. Consequently, PRD could prove a useful tool for identifying patients that might benefit from prophylactic ICD-implantation.




https://dgk.org/kongress_programme/jt2023/aV1095.html