Author (year) [ref] | Study design | Sample size (n) | Age (years) | Males;n(%) | Comparator | SCD/Mortality; n(%) | Aborted cardiac arrest; n(%) | VT | Sensitivity/Specificity | Predictors of major events | Summary |
---|---|---|---|---|---|---|---|---|---|---|---|
Aquaro (2020) [1] | Retrospective cohort | 140 | 42 ± 17 | 97 (69%) | 1. ITFC consensus statement 2. HRS criteria 3. ARVC risk score | 3 (2.14) | 12 (8.57%) | 17 | ITFC criteria: sensitivity = 82% Specificity = 52% Positive predictive value = 60% Negative predictive value = 76% HRS criteria: Sensitivity = 43% Specificity = 84% Positive predictive value = 70% Negative predictive value = 62% ARVC risk score: Sensitivity = 95% Specificity = 31% Positive predictive value = 54% Negative predictive value = 88% | NSVT Syncope ARVC risk score > 10% | Compared with the ITFC criteria, a 5 year ARVC score > 10% would have prevented 14% more events (P = 0.01) but with 25.8% more ICD implantations (P = 0.005). Compared with the HRS criteria, the 5 year ARVC score > 10% would have been capable of preventing 50% more events (P  < 0.0001) but with almost three times more ICD implantations. The 5 year risk score > 10% had a greater net benefit compared with other thresholds of the risk score |
Aquaro (2020) [2] | Retrospective cohort | 140 | 42 ± 17 | 97 (69%) | 1. CMR 2. ARVC risk score | 3 (2.14) | 13 (9.28) | Not reported | CMR: Sensitivity = 75% Specificity = 67% Positive predictive value = 69% ARVC risk score: Sensitivity = 83% Specificity = 39% Positive predictive value = 55.7% | ARVC risk score LV involvement Left dominant ARVC presentation | No significant differences among groups were found for conventional arrhythmic risk factors such as NSVT, syncope, and previous aborted cardiac ar- rest, and for the 5-year ARVC risk score. However, patients with lone RV and those with a biventricular presentation had higher 24-h PVC count than those with a negative CMR. Patients with a LV-dominant presentation had a significantly lower RV end- diastolic volume index than others |
Gasperetti (2020) [3] | Prospective cohort | 25 | 36.16 ± 14 | 20 (80%) | 1.2010 Task Force Criteria 2.ARVC risk score | Not reported | Not reported | 7 (28) | Not reported | Not reported | The algorithm seems to account for the practice of high-end endurance sports and does not require specific adjustments. Mandatory clinical detraining has a positive effect on the 24 h/PVC burden and occurrence of dysrhythmia on stress ECG at mid-term follow-up, with no significant reverse remodeling of RVEF observed |
Casella (2020) [4] | Retrospective cohort | 101 | 41.3 ± 14.2 | 76 (75.3%) | 1.ITFC risk assessment model 2.ARVC risk calculator | 4 (3.9%) | Not reported | 10 (9.9%) | Classical form 5 years/freedom-from-VA rate 0.76 (0.66–0.89); non-classical form 5 years/freedom-from-VA rate 0.58 (0.43–0.78)] 5-year risk thresholds between 15% (Same Net Benefit, better overall protection) and 20% (Better Net Benefit, same overall Protection) | VT inducibility Viral genome Late potentials | The novel Caudrin-Tourigny et al. algorithm appeared very effective in predicting long-term arrhythmic risk and in guiding ICD placement in this external validation cohort of probands with the classical ACM form requiring invasive investigation. In the non-classical forms, the algorithm appears to underestimate clinical risk; an integration with invasive assessment techniques, such as PES and EAM, should be considered in those forms presenting with an early left ventricular involvement |
Baudinaud (2021) [5] | Retrospective cohort | 128 | 38.2 (27.6–49.9) | 84 (73%) | 1.2015 ARVC Task Force Consensus 2.ARVC risk score | 4 (3.47) | 3 (2.6) | 6 (5.21) | ARVC risk score: Sensitivity = 80% Specificity = 79% | Syncope NSVT T-wave inversion in anterior and inferior ECG leads RVEF LVEF ARVC score | During a median follow-up of 7.8 years [IQR (6.1–9.7)], 15 (12%) patients experienced VA. The model provided good discrimination, with a Cindex for 5-year VA risk prediction of 0.84 [95% confidence interval (0.74–0.93)]. However, the model led to an overestimation of the 5-year VA risk when applying thresholds |
Carrick (2022) [6] | Retrospective cohort | 408 | 37 ± 15.1 | 164 (40.2%) | 1.ARVC risk calculator | 6 (1.5%) | Not reported | 41 (10.0) | Cumulative VA-free survival at 5 years = 71.3% | LVEF Anti-arrhythmic medications Exercise Beta-blockers NSVT T-wave inversion RV dysfunction | On repeat ambulatory cardiac monitoring assessment, the prevalence of NSVT decreased by 14% and the burden of PVCs decreased by an average of 1200 PVC per 24 h. There was a nonsignificant trend toward increased prevalence of moderate to severe RV dysfunction. The C statistics of the modified ARVC risk calculator for 5-year VA events was 0.76 ± 0.02 and was similar to that of the original ARVC risk calculator (C statistics 0.78) |
Jorda (2022) [7] | Retrospective cohort | 429 | 43.1 + 15.8 | 235 (54.8%) | 1.ARVC risk calculator | Not reported | 103 (24) | Not reported | Model validation revealed a Harrell C-index of 0.70 (95% CI 0.65–0.75). The calibration slope was 1.01 (95% CI 0.99–1.03) showing no significant difference in discrimination | Age Sex PVC count NSVT T-wave inversion Syncope RV dysfunction | ARVC risk prediction model not only provides accurate prognostic information in patients with ARVC without a prior history of sustained VA at diagnosis, but also performs generally better than other published decision algorithms |
Protonotarios (2022) [8] | Retrospective cohort | 554 | 41.0 (27.2,53.1) | 302 (54.5%) | 1.ARVC risk score | 9 (1.6%) | 2 (0.4%) | 37 (6.7%) | Uno’s concordance index 0.82, 95% CI 0.76–0.88; calibration curve slope 0.78, 95% CI 0.53–1.06; calibration curve intercept − 0.05, 95% CI − 0.10 to − 0.01 | Sex Syncope T-wave inversion PVC count | The corrected 2019 ARVC risk score has a reasonable discriminative ability but suffers from risk overestimation. It performs best among gene-positive patients and, especially in the PKP2 subgroup, but its utility is limited in gene-elusive patients. The predictive power of individual risk markers also varies by genotype |