Brugada syndrome (BrS) is primary electrical disorder characterized by ST segment elevation with right bundle branch block morphology in patients with apparent structurally normal hearts.[1] It predisposes affected individuals to ventricular tachycardia/fibrillation (VT/VF) and sudden cardiac death (SCD).[2] A number of studies have identified risk factors that are associated with a more malignant course of disease. These include male gender, syncope, a spontaneous type 1 ECG pattern, family history of SCD, family history of Brugada syndrome, loss-of-function mutations in the SCN5a gene, inducible VT/VF during programmed electrical stimulation. Of these risk factors, many studies have demonstrated that the presence of a spontaneous type 1 pattern is associated with a significantly higher risk of VT/VF or SCD, but other studies have demonstrated a lack of significant predictive value.
Three meta-analyses have addressed the prognostic value of a spontaneous type 1 Brugada pattern. Firstly, Letsas, et al.[3] examined its predictive value in six studies involving 2219 asymptomatic patients only, demonstrating a 3.6-fold increase in the risk of future arrhythmic events. Secondly, Wu, et al.[4] examined only prospective studies (n = 8) that included 1150 patients, demonstrating a 4-fold increase in the risk. Finally, Gehi, et al.[5] examined also only prospective studies (n = 3) in 935 patients, demonstrating a relative risk of 4.7. In this study, we performed an updated systematic review and meta-analysis, which includes the largest number of studies and patient numbers.
PubMed and Embase were searched for studies that investigated the association between a spontaneous type 1 Brugada pattern on the ECG and ventricular arrhythmias and SCD in Brugada syndrome. The following search terms were used for both databases: “Brugada syndrome spontaneous type 1”. The search period was from the beginning of the database through to 30th June 2017 without language restrictions. The following inclusion criteria were used: (1) the study was a case-control, prospective or retrospective cohort study in human subjects with a Brugada phenotype; and (2) data on the relationship between a type 1 pattern and adverse events (appropriate implantable cardioverter defibrillator shocks, VT/VF, and SCD) were reported.
A total of 139 and 10 entries were retrieved from PubMed and Embase, respectively. After reference trawling and excluding overlapping populations, a total of 6561 Brugada patients from 24 studies were included.[6]–[29] The mean age was 44 ± 16 years and 73% of the patients were male, with a mean follow-up of 50 ± 36 months. Table 1 shows the baseline characteristics of these studies and the study populations. Quality analysis of the included studies by using the Newcastle-Ottawa Scale was shown in Table 2. The main finding of our meta-analysis is that the presence of a spontaneous type 1 pattern on the ECG confers 2.3 times the risk of ventricular arrhythmias or SCD in Brugada syndrome. There was a low level of heterogeneity (I2 = 42%) with significant publication bias (Kendall's tau = 0.37, P < 0.05).
Table 1. Characteristics of the studies included in this meta-analysis.
Studies | Study design | Sample size (n) | Age | Males | Endpoints | Follow-up duration (months) | Univariate or multivariate | Multivariate variables |
Kitamura T, et al.[8] | R | 304 | 30 | 169 | VT/VF | 91 | U | - |
Sieira J, et al.[9] | P | 400 | 41 | 233 | SCD + ICD Shock | 81 | U | - |
Andorin A, et al.[13] | R | 106 | 11 | 58 | SCD + ICD Shock + VT/VF | 54 | M | Age and ICD |
Casado-Arroyo R, et al.[11] | P | 447 | 45 | 336 | SCD + ICD Shock + VT/VF | 50 | U | - |
Kawazoe H, et al.[12] | R | 143 | 46 | 140 | VF | 83 | U | - |
Rivard L, et al.[10] | R | 105 | 46 | 83 | aSCD + appropriate ICD shocks | 60 | M | Max Tp-e and QRS in lead 6 |
Conte G, et al.[16] | P | 176 | 43 | 118 | Appropriate ICD shocks | 84 | U | - |
Dores H, et al.[15] | R | 55 | 42 | 30 | Appropriate ICD shocks | 74 | U | - |
Maury P, et al.[14] | R | 325 | 47 | 258 | SCD + appropriate ICD shocks | 48 | M | Sp1 ST elevation, SCN5A mutation, family history of SCD, QRS duration, Max Tp-e |
Okamura H, et al.[17] | R | 218 | 46 | 211 | SCD + appropriate ICD shocks | 78 | M | Sp1, Syncope, inducibility of VF (PES+) |
Son MK, et al.[19] | R | 69 | 48 | 68 | Appropriate/inappropriate ICD shocks | 57 | M | Age, presence of palpitations, sVT before implantation of ICD |
Tokioka K, et al.[18] | R | 246 | 48 | 236 | SCD + ICD Shock + VF | 45 | U | - |
Hiraoka M, et al.[20] | P | 460 | 52 | 432 | SCD + VF | 43 | U | - |
Daoulah A, et al.[21] | R | 25 | 32 | 25 | Appropriate ICD shocks | 41 | NA | - |
Delise P, et al.[23] | P | 320 | 43 | 258 | SCD + VF | 40 | M | Syncope, basal type 1 ECG |
Nishii N, et al.[22] | P | 108 | 49 | 10 | Appropriate ICD shocks | 72 | U | - |
Probst V, et al.[25] | R | 1029 | 45 | 745 | SCD + appropriate ICD shocks | 32 | M | Symptoms at diagnosis (aSCD/asymptomatic/syncope), Sp1, age, gender, EPS |
Richter S, et al.[24] | P | 186 | 43 | 115 | aSCD + appropriate ICD shocks + VF | 57 | U | |
Giustetto C, et al.[27] | P | 166 | 42 | 138 | aSCD + appropriate ICD shocks + VF | 30 | U | - |
Kamakura S, et al.[26] | R | 330 | 51 | 315 | SCD + VF | 49 | U | - |
Benito B, et al.[28] | P | 384 | 46 | 272 | SCD + VF | 58 | M | Gender, previous AF, symptoms at diagnosis (syncope, aSCD), Sp1, EPS |
Eckardt L, et al.[29] | R | 212 | 45 | 152 | Appropriate ICD shocks + VF | 40 | U | - |
Brugada J, et al.[6] | P | 547 | 41 | 408 | SCD + VF | 24 | M | Gender, Sp1, syncope, EPS (inducible) |
Priori SG, et al.[7] | P | 200 | 41 | 152 | Cardiac arrest | 34 | U | - |
AF: atrial fibrillation; aICD: appropriate implantable cardioverter defibrillator; aSCD: aborted sudden cardiac death; EPS: electrophysiological study; ICD: implantable cardioverter defibrillator; M: multivariate; NA: not available; P: prospective; R: retrospective; sVT: sustained ventricular tachycardia; U: univariate; VF: ventricular fibrillation.
Table 2. NOS risk of bias scale for included cohort studies.
Studies | Selection |
Outcome |
|||||||
Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Outcome of interest not present at start of study | Comparability | Assessment of outcome | Adequacy of duration of follow-up | Adequacy of completeness of follow-up | Total score (0–9) | |
Priori SG, et al.[7] | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 5 |
Brugada J, et al.[6] | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 6 |
Benito B, et al.[28] | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 6 |
Delise P, et al.[23] | 1 | 0 | 1 | 1 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 8 |
Probst V, et al.[25] | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 6 |
Nishii N, et al.[22] | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 6 |
Daoulah A, et al.[21] | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 5 |
Hiraoka M, et al.[20] | 1 | 0 | 1 | 1 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 8 |
Son MK, et al.[19] | 1 | 0 | 1 | 0 | 1 (gender) | 1 | 1 | 1 | 6 |
Tokioka K, et al.[18] | 1 | 0 | 1 | 0 | 1 (family history of SCD) | 1 | 1 | 1 | 6 |
Conte G, et al.[16] | 1 | 0 | 1 | 1 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 8 |
Dores H, et al.[15] | 1 | 0 | 1 | 0 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 7 |
Okamura H, et al.[17] | 1 | 0 | 1 | 0 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 7 |
Andorin A, et al.[13] | 1 | 0 | 1 | 1 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 8 |
Casado-Arroyo R, et al.[11] | 1 | 0 | 1 | 1 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 8 |
Kawazoe H, et al.[12] | 1 | 0 | 1 | 0 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 7 |
Rivard L, et al.[10] | 1 | 0 | 1 | 1 | 1 (gender) | 1 | 1 | 1 | 7 |
Kitamura T, et al.[8] | 1 | 0 | 1 | 0 | 2 (gender, family history of SCD) | 1 | 1 | 1 | 7 |
Sieira, et al.[9] | 1 | 0 | 1 | 1 | 1 (gender) | 1 | 1 | 1 | 7 |
NOS: Newcastle-Ottawa scale; SCD: sudden cardiac death.
The ECG is a simple and non-invasive test that provides information on cardiac electrophysiological properties of the test subjects. A spontaneous Brugada pattern indicates the presence of both depolarization and repolarization abnormalities at baseline, which represent substrates for re-entrant arrhythmogenesis.[30]–[32] This is in contrast to the presence of a type 2 or type 3 Brugada pattern, which can be converted to a type 1 pattern using drug challenge.[33] In addition to this type 1 characteristic pattern, detailed analyses of conduction and repolarization intervals from the 12-lead ECG can aid risk stratification.[34]–[37] For example, a recent meta-analysis has demonstrated that prolonged Tpeak–Tend intervals, which represent a higher dispersion of repolarization, whilst another showed that fragmented QRS complex,[38] which indicates dispersion of conduction, are associated with higher risk of ventricular arrhythmias and sudden death in Brugada syndrome. Our meta-analysis shows patients with spontaneous type 1 Brugada pattern are at a high risk of adverse events. The ECG is a valuable tool that can aid clinicians to identify such high-risk individuals, who will require primary prevention by implantable cardioverter-defibrillator insertion.
Acknowledgments
Tse G and Wong SH thank the Croucher Foundation of Hong Kong for the support of their clinical assistant professorships.
References
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