Next Article in Journal
Pathogenic Variants in Cardiomyopathy Disorder Genes Underlie Pediatric Myocarditis—Further Impact of Heterozygous Immune Disorder Gene Variants?
Next Article in Special Issue
The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
Previous Article in Journal
Neonatal Deletion of Hand1 and Hand2 within Murine Cardiac Conduction System Reveals a Novel Role for HAND2 in Rhythm Homeostasis
Previous Article in Special Issue
Congenital Heart Disease: The State-of-the-Art on Its Pharmacological Therapeutics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Peak Oxygen Uptake on Cardiopulmonary Exercise Test Is a Predictor for Severe Arrhythmic Events during Three-Year Follow-Up in Patients with Complex Congenital Heart Disease

1
Department of Congenital Heart Defects and Pediatric Cardiology, German Heart Center Munich, School of Medicine & Health, Technical University of Munich, 80636 Munich, Germany
2
Department of Congenital and Pediatric Heart Surgery, German Heart Center of Munich, School of Medicine & Health, Technical University of Munich, 80636 Munich, Germany
3
Division of Congenital and Pediatric Heart Surgery, University Hospital, Ludwig-Maximilians-University, 81377 Munich, Germany
4
DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80802 Munich, Germany
*
Author to whom correspondence should be addressed.
J. Cardiovasc. Dev. Dis. 2022, 9(7), 215; https://doi.org/10.3390/jcdd9070215
Submission received: 28 April 2022 / Revised: 6 June 2022 / Accepted: 29 June 2022 / Published: 4 July 2022
(This article belongs to the Special Issue Congenital Heart Defects: Diagnosis, Management, and Treatment)

Abstract

:
Patients with congenital heart disease (CHD) are at increased risk for severe arrhythmia and sudden cardiac death (SCD). Although implantable cardioverter defibrillators (ICD) effectively prevent SCD, risk stratification for primary prophylaxis in patients with CHD remains challenging. Patients with complex CHD undergoing CPET were included in this single-center study. Univariable and backwards stepwise multivariable logistic regression models were used to identify variables associated with the endpoint of severe arrhythmic event during three years of follow-up. Cut-off values were established with receiver operating characteristic (ROC) curve analysis. Survival analysis was conducted via Kaplan–Meier plots. Severe Arrhythmia was documented in 97 of 1194 patients (8.1%/3 years). Independent risk factors for severe arrhythmia during follow-up were old age and a low peak oxygen uptake ( V . O2peak) on multivariable analysis. Patients with more advanced age and with V . O2peak values of less than 24.9 mL/min/kg were at significantly increased risk for the occurrence of severe arrhythmias during follow-up. The combined analysis of both risk factors yielded an additional benefit for risk assessment. Age at CPET and V . O2peak predict the risk for severe arrhythmic events and should be considered for risk stratification of SCD in patients with complex CHD.

1. Introduction

Patients with congenital heart disease (CHD) face an increased long-term risk for severe arrhythmia and sudden cardiac death (SCD); up to 26% of deaths within this population are caused by SCD [1,2,3,4]. Implantable cardioverter defibrillators (ICD) are designed to treat sudden ventricular tachyarrhythmia, which is the leading cause of SCD, occurring in up to 80% of CHD patients [1,5]. Primary ICD prophylaxis is well-accepted in the adult population [6]. The SCD-HeFT [7], MADIT-II [8,9], and DEFINITE [10] trials evaluated the effects of primary ICD therapy on mortality in ischemic and non-ischemic heart failure patients and concluded that both all-cause mortality and the SCD risk were reduced in the ICD groups of the studies.
However, defibrillators may cause complications, including inappropriate shocks, which are especially frequent in children [11,12,13]. Several studies have stated that both appropriate and inappropriate ICD shocks were associated with higher mortality and reduced quality of life [14,15]. As CHD patients face an additionally high risk for ICD complications [16,17], it becomes clear that individualized risk assessment and appropriate therapy is crucial. Recent studies by Vehmeijer and colleagues [3] evinced the shortcomings of the 2015 guidelines for primary ICD implantation in CHD patients and concluded that both Consensus Statement [18] and the European Society of Cardiology (ESC) guidelines [6] yielded poor discriminative abilities for adequate ICD-implantation recommendations. As the recently published 2020 ESC Guidelines for the management of adult CHD proposed only few changes for primary ICD prophylaxis in CHD patients [19], new means for risk assessment should be evaluated.
Cardiopulmonary exercise testing (CPET) is a well-established and safe method to assess cardiopulmonary function in children and adults with CHD [20,21,22]. Despite its comprehensive testing capabilities, CPET is not mentioned as a tool for SCD risk stratification in both 2015 and 2020 guidelines [6,19].
This study aims to evaluate measurements obtained during CPET as appropriate tools of SCD-risk assessment in patients with complex CHD via the analysis of severe arrhythmia during a three-year follow-up.

2. Methods

2.1. Study Design

This study was designed as a single-center retrospective analysis of patients with complex CHD who underwent CPET at the German Heart Centre of Munich between January 2009 and December 2014. The purpose of this study was to evaluate measurements obtained during CPET as predictors for the occurrence of severe arrhythmias in a follow-up time of three years. If multiple CPETs occurred, the most recent one with a follow-up of 3 years was used. Only patients with univentricular heart (UVH), Ebstein’s anomaly (EBS), tetralogy of Fallot (TOF), truncus arteriosus communis (TAC), and transposition of the great arteries (TGA) who underwent arterial switch operation (TGA ASO) or Senning/Mustard procedure (TGA SM) were included. TGA patients with other surgical reconstructions were excluded from analysis.

2.2. Cardiopulmonary Exercise Test

Patients underwent an exhausting (respiratory exchange ratio >1.0) and symptom-limited CPET in an upright position on a bicycle. A protocol with a customized ramp-wise increase in workload was used, aiming for an exercise time of about 8–12 min after an unloaded three-minute warm-up and followed by a 2–3 min cool-down at 5–20 watts. Usually, we used a 10, 15, or 20 Watt/min increase in workload in patients with complex congenital heart defects. The highest running mean of any thirty-second interval of oxygen uptake during exercise was defined as peak oxygen uptake ( V . O2peak). V . O2peak was expressed relative to body mass (mL/min/kg) rather than as a percentage of predicted value since the differences in cardiopulmonary anatomy and physiology between patients with complex CHD and the physiological collective used for normation were considered a potential bias. Estimation of ventilatory efficiency ( V . E/ V . CO2-slope) was defined by manually excluding the values after the respiratory compensation point [23,24].

2.3. Data Collection

The following data were reviewed and collected on the date of CPET: demographic and clinical data (age, gender, and body mass index (BMI)), V . O2peak, anaerobic threshold ( V . O2at), V . E/ V . CO2-slope, respiratory exchange ratio at peak exercise (RERmax), and pulse oxymetric saturation at peak exercise (SpO2max). Medical charts and available Holter recordings as well as ICD-, pacemaker- and event-recorder readings were reviewed within a follow-up time of three years after CPET. The function of the systemic ventricle in transthoracic ultrasound assessed by visual estimation or via ejection fraction measurement was added to the analysis if the examination occurred within 12 months of the initial CPET. An ejection fraction of less than 50% was considered as an impaired function. The primary endpoint was survival without severe arrhythmic events (SAE), namely sudden cardiac death (SCD), aborted SCD, appropriate implantable cardioverter defibrillator (ICD) discharge, ICD antitachycardia pacing (ICD-ATP) for ventricular tachycardia (VT), hospital admission for acute ventricular arrhythmia, cardiac syncope caused by ventricular arrhythmia, and the occurrence of non-sustained or sustained VT (nsVT, sVT) on Holter, event-recorder, pacemaker, or ICD recordings. Heart transplantation was considered as death of the patient’s heart and thus terminated follow-up. VT was defined in contrast to the ACC/AHA/HRS 2006 key data elements and definitions for electrophysiological studies and procedures [25] as wide complex tachycardia without atrial origin, exceeding three beats in succession. VTs were characterized as non-sustained if they terminated in <30 s and sustained if they persisted ≥30 s. Hospital admissions without evidence of acute VT and syncopes without complete loss of consciousness or with another cause more likely than VT were not considered as SAE.

2.4. Statistical Analysis

Data analyses were performed using SPSS (version 25.0, IBM Corporation, Armonk, NY, USA). Categorical variables were expressed as absolute (n/N) and relative frequencies (%). Continuous variables were expressed as means ± standard deviation (SD) or medians and interquartile range (IQR), depending on the distribution. The normality of distribution was assessed by visual analysis of plotted histograms. Homogeneity of variances was determined using Levene’s test. ANOVA (A), Kruskal–Wallis (KW), and Pearson’s chi-squared (χ2) tests were used to unveil statistically significant differences of values between the subgroups of CHD. If not otherwise defined, all comparisons refer to the average of the included subgroups. To account for multiple testing, the Bonferroni correction was applied.
Univariable and backwards stepwise multivariable logistic regression models were used to identify parameters associated with SAE within three years. Variables with p-values less than 0.10 in univariable analyses were considered in the multivariable analysis (entry-threshold, p = 0.05; removal-threshold p = 0.10). Additionally, testing for multicollinearity was conducted to determine the degree of correlation between variables. If two variables had a Pearson or Spearman-Rho correlation coefficient (PCC, SRCC) exceeding 0.70, the one with higher p-value in univariable analysis was excluded from the multivariable model. Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs). A priori power analysis was conducted with G*Power (Version 3.1.9.7) [26]. We estimated an overall 3-year risk for SAE of 10% and a relative risk modification of 25% per SD. The necessary sample size accounting for an α-error of 0.05 and a power of 0.8 was calculated as 1118 patients. Time-to-event analysis was conducted via univariabe and backwards stepwise multivariable Cox regression analysis. Inclusion and exclusion criteria did not differ from the aforementioned logistic regression analysis and the results were reported as hazard ratios (HR) with 95% CI. To evaluate the diagnostic ability of V . O2peak, receiver operating characteristic (ROC) analysis was used, and the results were reported as areas under the curves (AUC) with 95% CI. ROC analysis was further used to find cut-off values wherever possible by determining the maximum Youden’s index (YI). The differences in SAE-free survival were visualized by the means of Kaplan–Meier estimator with time 0 as the date of CPET and log-rank testing was used to ensure statistical significance.
p-values < 0.05 were considered significant for all tests.

3. Results

3.1. Patient Characteristics

Patient characteristics, CPET variables, and the applied means of rhythm recording are shown in Table 1. In total, 1194 patients (663 male) were included in the study. The median age at the CPET performance was 25.9 (IQR 17.4–34.6) years, the median body height was 168 (IQR 160–175) cm, the mean body mass was 64.7 ± 18.6 kg, and the median BMI was 22.4 (IQR 19.8–25.6) kg/m2. The underlying diagnosis was UVH in 205 patients, EBS in 135 patients, TOF in 469 patients, TAC in 51 patients, TGA ASO in 149 patients, and TGA SM in 185 patients. Forty-nine patients with TGA underwent various different surgical reconstructions and were excluded from the analysis. Transthoracic ultrasound evaluation of systemic ventricle function was available in 1148 patients within 12 months of the initial CPET. Peak performance was reached by 1075 patients during CPET. In 66 patients, oxygen saturation could not be measured at peak of exercise. In 41 patients, the V . O2at could not be determined reliably. In both cases, the variables were omitted from the statistical analysis. Three years of follow-up were completed in 1101 patients (92.2%). Holter recordings were available in 445 patients (38.1%). During follow-up, ICDs were present in 42 patients, 145 patients had a pacemaker, and event-recorders were used in three patients, out of which 27 pacemakers and 17 ICDs were implanted during follow-up with five being ICD-upgrades to preexisting pacemakers.
Twenty-seven patients (2.3%) died during follow-up. SCD was diagnosed in two patients. Sixteen patients died from causes other than SCD. In nine patients, the cause of death remained unclear. Heart transplantation was performed in three patients. There were differences in some of the CPET measurements between the different CHD groups when compared to the total group (Table 1). However, occurrence of SAE did not differ between the distinct anatomic groups (Table 2), and the entire group was considered for further univariable and multivariable analysis.

3.2. Severe Arrhythmic Events during Follow-Up

Severe arrhythmic events during three-year follow-up occurred in 97 of 1194 patients (8.1%). No statistically significant differences were found among the subtypes of CHD, regarding the occurrence of SAE (Table 2). The most frequent SAE was nsVT documented by Holter-ECG, pacemaker, ICD, or event recorder (7.0%). The longest nsVTs of individual patients terminated after an average of 21.63 ± 29.69 beats, and TGA ASO patients presented with significantly shorter nsVT compared to the total average (TGA ASO 6.14 ± 2.12 vs. total 21.63 ± 29.69 beats; p < 0.001). Sustained VT was documented in eight patients. SCD occurred twice during follow-up, once in the EBS and once in the TOF subgroup. In six patients, SCD was aborted by the means of cardiopulmonary resuscitation (CPR). ICD intervention occurred in ten patients (ICD-ATP n = 8; appropriate ICD-discharge n = 6) during follow-up. Eleven patients were hospitalized due to acute VT, and 14 experienced a sudden syncope with strong suspicion of VT. In nine patients, nsVT was documented during CPET, one of which experienced an aborted sudden cardiac death with successive ICD-implantation during follow-up, and, in two patients, recurrent nsVT was identified in holter recordings. None of the examined patients had sustained VT during CPET.

3.3. Clinical Parameters Associated with SAE

Univariable and multivariable logistic regression analyses are summarized in Table 3. Clinical variables associated with SAE in multivariable analysis were age at CPET (OR, 1.029; 95% CI, 1.009–1.049; p = 0.004) and V . O2peak (OR, 0.951; 95% CI, 0.921–0.982; p = 0.002). V . O2 at correlated with V . O2peak (PCC, 0.83; p < 0.001; SRCC, 0.83; p < 0.001) and was excluded from multivariable analysis. BMI did correlate with SAE in univariable analysis but did not alter the risk of SAE in multivariable analysis. V . E/ V . CO2-slope, RERmax, SpO2max, gender, and type of CHD did not correlate significantly with SAE during follow-up in our logistic regression model. Similar results were found in univariable and multivariable Cox regression analyses, which are depicted in Table S1.

3.4. The Predictive Value of V . O2peak and Age

ROC curve analysis illustrated that V . O2peak (AUC, 0.687; 95% CI, 0.631–0.743; p-value < 0.001) and age (AUC, 0.659; 95% CI, 0.602–0.715; p < 0.001) independently predicted risk for SAE in CHD patients (Figures S1 and S2). ROC analysis revealed potential cut-off values for V . O2peak at 24.9 mL/min/kg (YI, 0.318; sensitivity 0.702; specificity 0.616) and for age at 26.2 years (YI, 0.242; sensitivity 0.711; specificity 0.531); however, age especially correlated fairly linearly with the SAE risk.

3.5. Prediction of SAE-Free Survivial with V . O2peak and Age

While survival without SAE at three years of follow-up was similar in patients with V . O2peak in the third and fourth quartile (95.8% vs. 96.1%), lower V . O2peak values in the second and first quartile were associated with a decrease in SAE-free survival (90.7% and 82.2%) (Figure 1A). Patients with V . O2peak equal to or higher than the cut-off value of 24.9 mL/min/kg presented with more frequent 3-year survival without SAE than patients with lower V . O2peak than cut-off (95.8% vs. 85.1%) (Figure 1B). Higher age correlated with an decreased survival without SAE throughout all quartiles (95.8% vs. 94.3% vs. 90.2% vs. 85.1%) (Figure 1C), and age above the cut-off value of 26.2 years lead to less frequent 3-year survival without SAE (87.4% vs. 95.1%) (Figure 1D). The combination of lower V . O2peak values on CPET and higher age increased the risk for SAEs during follow-up even more (Figure 1E,F). It was shown that older patients with below-average V . O2peak presented with comparably high risk for SAE during follow-up as patients among the lowest quartile of V . O2peak without the consideration of age.

4. Discussion

Our retrospective analysis identified increased age and low V . O2peak as independent risk factors for severe arrhythmic events during three-year follow-up in a wide range of complex CHD. Age tended to correlate linearly with the occurrence of SAE. We found that V . O2peak correlated non-linearly, and a cut-off value for V . O2peak of 24.9 mL/min/kg presented to be an effective margin for risk assessment. Combined risk stratification of age and V . O2peak appeared to surpass the predictive capability of isolated contemplation. There were no statistical differences between the occurrences of SAEs when comparing the distinct anatomical groups. Statistical power was limited in this comparison given the small sample sizes of patients with SAEs when breaking down to the individual anatomical groups. Extrapolation of the findings assessing SAE risk factors in a univariate and multivariate analysis in the entire heterogeneous group consisting of distinct complex structural heart diseases might not allow extrapolation to the respective anatomical subgroups. Despite these limitations, reduced V . O2peak and more advanced age were shown to be capable predictors for severe arrhythmia among a collective of various complex CHD and thus should be considered for SCD risk stratification.
In our analysis, 8.1% of patients with complex CHD experienced severe arrhythmia within three years of follow-up. No significant differences were found between the different groups of CHD, but strong trends suggest a prominent risk for severe arrhythmia in patients with Ebstein’s anomaly, while the risk in patients with a common arterial trunk appeared to be negligible. Recent studies suggest that EBS patients are at significant risk for arrhythmias and sudden cardiac death [27,28,29]. It has been stated that these lethal arrhythmias in Ebstein’s anomaly are caused by the anatomic proximity of the structural abnormalities to the conduction system, namely the tricuspid annulus, the central fibrous body, the atrioventricular (AV) node, the right-sided myocardium, and the papillary muscles [30]. The predisposition for the development of accessory atrioventricular pathways may lead to rapid conduction of atrial fibrillation or flutter, which has been described to degenerate into fatal ventricular tachycardia or fibrillation in a susceptible ventricle [30].
Despite the expected high risk for SCD in patients with complex CHD [31], SCD was the least common endpoint in our analysis, while documented ventricular tachycardia represented the majority of SAE and ICD intervention occurred relatively frequent. The high rate of ICD interventions and the low rate of SCD support the effectiveness of primary and secondary prophylaxis with ICD [17]. Compared with the other types of CHD, the TOF group presented with the highest percentage of ICD. This might indicate a more liberal approach to ICD implantation in this CHD, due to the specific recommendations in ESC guidelines concerning primary ICD prophylaxis in patients with TOF [6,19].
In CPET, V . O2peak is used as a means to measure cardiopulmonary function capacity and, in particular, to assess the severity of heart failure [32,33]. Heart failure is a leading cause for VT and SCD [34,35] in acquired heart diseases; so, the correlation between V . O2peak and severe arrhythmia appears consistent. Previous studies in congenital heart diseases have linked decreased V . O2peak and increased V . E/ V . CO2 slope during CPET with an increased rate of mortality or ventricular tachycardia in patients with tetralogy of Fallot [36,37]. In our study, V . E/ V . CO2 slope did not show a clear correlation with the risk of severe arrhythmia during follow-up. This may be due to the wider inclusion of CHD patients as well as the strong emphasis towards severe arrhythmia rather than mortality. The correlation of increased age and the risk for SCD is well-known in patients with CHD [38]. Still, the additional benefit of the combined interpretation of age and V . O2peak has not yet been established in the context of SCD-risk stratification.
The findings of the current study are relevant since the assessment of risk in CHD patients is still a subject of debate, with studies suggesting that the 2015 guidelines only yield poor discriminative ability for patients at risk of SCD [3,39]. Data concerning the risk stratification in patients with systemic right ventricle and univentricular heart physiology are considered especially scarce [40]. The 2020 ESC guidelines proposed only minor changes to primary ICD prophylaxis and did not mention CPET as a means for risk stratification [19]. Furthermore, specific guidelines for primary ICD prophylaxis in CHD patients remain elusive [18,41]. The analysis of V . O2peak in conjunction with the patient’s age might yield an additional means for risk stratification of severe arrhythmia and sudden cardiac death in patients with complex CHD and thus help to distinguish patients who could benefit from primary ICD prophylaxis.

Study Limitations

This study was retrospective in nature, and, thus, general limitations for this study design apply. Although the patient cohort had been large, the examined patient group was quite heterogeneous with regard to the underlying structural heart disease. In addition, there may have been important within-group heterogeneity with regard to anatomy, type of repair, age at repair, potential reoperations, and potential residual or newly acquired defects. Also, the frequency of Holter recordings and device implantation was not standardized for this study. A selection bias favorable to a patient cohort with more complex disease could occur, as the study was carried out in a highly specialized tertiary care center.

5. Conclusions

With the limitations of a retrospective study design and a heterogeneous patient population, more advanced age and low V . O2peak on CPET presented as risk factors for an increased risk of severe arrhythmic events during three-year follow-up in patients with complex CHD. Age and V . O2peak on CPET should be considered for SCD risk stratification and the individualized decision for primary prophylactic ICD implantation or liberal ablation therapy if appropriate.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcdd9070215/s1, Figure S1: ROC curve for prediction of SAE via V . O2peak in CHD; Figure S2: ROC curve for prediction of SAE via age in CHD; Table S1: Clinical parameters associated with SAE in univariable and multivariable Cox-regression analysis.

Author Contributions

Conceptualization, F.v.S., S.P., A.H. and C.M.W.; Methodology, F.v.S., S.P., A.H. and C.M.W.; Software, F.v.S., S.P., A.H. and C.M.W.; Validation, A.H. and C.M.W.; Formal Analysis, F.v.S., A.H. and C.M.W.; Investigation, F.v.S., S.P., J.H.(Julia Hock) and C.F.; Resources, P.E., A.H. and C.M.W.; Data Curation, F.v.S. and A.H.; Writing–Original Draft Preparation, F.v.S.; Writing–Review & Editing, F.v.S., S.P., J.H.(Julia Hock), C.F., Hörer J.(Jürgen Hörer), G.H., P.E., A.H. and C.M.W.; Visualization, F.v.S.; Supervision, A.H. and C.M.W.; Project Administration, A.H., C.M.W.; Funding Acquisition, C.M.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. The APC was partially funded by the Technical University of Munich.

Institutional Review Board Statement

Ethical review and approval were waived for this study, due to the complete retrospective design of the study.

Informed Consent Statement

All patients gave written consent for anonymous publication of their data.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to preservation of patient anonymity and privacy.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Koyak, Z.; Harris, L.; de Groot, J.R.; Silversides, C.K.; Oechslin, E.N.; Bouma, B.J.; Budts, W.; Zwinderman, A.H.; Van Gelder, I.C.; Mulder, B.J. Sudden cardiac death in adult congenital heart disease. Circulation 2012, 126, 1944–1954. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Oechslin, E.N.; Harrison, D.A.; Connelly, M.S.; Webb, G.D.; Siu, S.C. Mode of death in adults with congenital heart disease. Am. J. Cardiol. 2000, 86, 1111–1116. [Google Scholar] [CrossRef]
  3. Vehmeijer, J.T.; Mulder, B.J.; de Groot, J.R. Current state of risk stratification for sudden cardiac death in adults with congenital heart disease. Anatol. J. Cardiol. 2018, 19, 401–403. [Google Scholar] [CrossRef] [PubMed]
  4. Verheugt, C.L.; Uiterwaal, C.S.; van der Velde, E.T.; Meijboom, F.J.; Pieper, P.G.; van Dijk, A.P.; Vliegen, H.W.; Grobbee, D.E.; Mulder, B.J. Mortality in adult congenital heart disease. Eur. Heart J. 2010, 31, 1220–1229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Vehmeijer, J.T.; Koyak, Z.; Zwinderman, A.H.; Harris, L.; Peinado, R.; Oechslin, E.N.; Silversides, C.K.; Bouma, B.J.; Budts, W.; van Gelder, I.C.; et al. PREVENTION-ACHD: PRospEctiVE study on implantable cardioverter-defibrillator therapy and suddeN cardiac death in Adults with Congenital Heart Disease; Rationale and Design. Neth. Heart. J. 2019, 27, 474–479. [Google Scholar] [CrossRef] [Green Version]
  6. Priori, S.G.; Blomstrom-Lundqvist, C. 2015 European Society of Cardiology Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death summarized by co-chairs. Eur. Heart J. 2015, 36, 2757–2759. [Google Scholar] [CrossRef] [Green Version]
  7. Bardy, G.H.; Lee, K.L.; Mark, D.B.; Poole, J.E.; Packer, D.L.; Boineau, R.; Domanski, M.; Troutman, C.; Anderson, J.; Johnson, G.; et al. Amiodarone or an implantable cardioverter-defibrillator for congestive heart failure. N. Engl. J. Med. 2005, 352, 225–237. [Google Scholar] [CrossRef]
  8. Goldenberg, I.; Moss, A.J.; McNitt, S.; Zareba, W.; Hall, W.J.; Andrews, M.L.; Wilber, D.J.; Klein, H.U.; Investigators, M.-I. Time dependence of defibrillator benefit after coronary revascularization in the Multicenter Automatic Defibrillator Implantation Trial (MADIT)-II. J. Am. Coll. Cardiol. 2006, 47, 1811–1817. [Google Scholar] [CrossRef] [Green Version]
  9. Moss, A.J.; Zareba, W.; Hall, W.J.; Klein, H.; Wilber, D.J.; Cannom, D.S.; Daubert, J.P.; Higgins, S.L.; Brown, M.W.; Andrews, M.L.; et al. Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N. Engl. J. Med. 2002, 346, 877–883. [Google Scholar] [CrossRef] [Green Version]
  10. Kadish, A.; Dyer, A.; Daubert, J.P.; Quigg, R.; Estes, N.A.; Anderson, K.P.; Calkins, H.; Hoch, D.; Goldberger, J.; Shalaby, A.; et al. Prophylactic defibrillator implantation in patients with nonischemic dilated cardiomyopathy. N. Engl. J. Med. 2004, 350, 2151–2158. [Google Scholar] [CrossRef] [Green Version]
  11. Kwiatkowska, J.; Budrejko, S.; Wasicionek, M.; Meyer-Szary, F.J.; Lubinski, A.; Kempa, M. Long-term follow-up of implantable cardioverter-defibrillators in children: Indications and outcomes. Adv. Clin. Exp. Med. 2020, 29, 123–133. [Google Scholar] [CrossRef] [PubMed]
  12. Garnreiter, J.M.; Pilcher, T.A.; Etheridge, S.P.; Saarel, E.V. Inappropriate ICD shocks in pediatrics and congenital heart disease patients: Risk factors and programming strategies. Heart Rhythm. 2015, 12, 937–942. [Google Scholar] [CrossRef] [PubMed]
  13. Lewandowski, M.; Sterlinski, M.; Maciag, A.; Syska, P.; Kowalik, I.; Szwed, H.; Chojnowska, L.; Przybylski, A. Long-term follow-up of children and young adults treated with implantable cardioverter-defibrillator: The authors’ own experience with optimal implantable cardioverter-defibrillator programming. Europace 2010, 12, 1245–1250. [Google Scholar] [CrossRef] [PubMed]
  14. Poole, J.E.; Johnson, G.W.; Hellkamp, A.S.; Anderson, J.; Callans, D.J.; Raitt, M.H.; Reddy, R.K.; Marchlinski, F.E.; Yee, R.; Guarnieri, T.; et al. Prognostic importance of defibrillator shocks in patients with heart failure. N. Engl. J. Med. 2008, 359, 1009–1017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Kamphuis, H.C.; de Leeuw, J.R.; Derksen, R.; Hauer, R.N.; Winnubst, J.A. Implantable cardioverter defibrillator recipients: Quality of life in recipients with and without ICD shock delivery: A prospective study. Europace 2003, 5, 381–389. [Google Scholar] [CrossRef]
  16. Von Bergen, N.H.; Atkins, D.L.; Dick, M., 2nd; Bradley, D.J.; Etheridge, S.P.; Saarel, E.V.; Fischbach, S.P.; Balaji, S.; Sreeram, N.; Evans, W.N.; et al. Multicenter study of the effectiveness of implantable cardioverter defibrillators in children and young adults with heart disease. Pediatr. Cardiol. 2011, 32, 399–405. [Google Scholar] [CrossRef]
  17. Vehmeijer, J.T.; Brouwer, T.F.; Limpens, J.; Knops, R.E.; Bouma, B.J.; Mulder, B.J.; de Groot, J.R. Implantable cardioverter-defibrillators in adults with congenital heart disease: A systematic review and meta-analysis. Eur. Heart. J. 2016, 37, 1439–1448. [Google Scholar] [CrossRef] [Green Version]
  18. Khairy, P.; Van Hare, G.F.; Balaji, S.; Berul, C.I.; Cecchin, F.; Cohen, M.I.; Daniels, C.J.; Deal, B.J.; Dearani, J.A.; Groot, N.; et al. PACES/HRS Expert Consensus Statement on the Recognition and Management of Arrhythmias in Adult Congenital Heart Disease: Developed in partnership between the Pediatric and Congenital Electrophysiology Society (PACES) and the Heart Rhythm Society (HRS). Endorsed by the governing bodies of PACES, HRS, the American College of Cardiology (ACC), the American Heart Association (AHA), the European Heart Rhythm Association (EHRA), the Canadian Heart Rhythm Society (CHRS), and the International Society for Adult Congenital Heart Disease (ISACHD). Heart Rhythm. 2014, 11, e102–e165. [Google Scholar] [CrossRef]
  19. Baumgartner, H.; De Backer, J.; Babu-Narayan, S.V.; Budts, W.; Chessa, M.; Diller, G.P.; Lung, B.; Kluin, J.; Lang, I.M.; Meijboom, F.; et al. 2020 ESC Guidelines for the management of adult congenital heart disease. Eur. Heart J. 2020, 42, 563–645. [Google Scholar] [CrossRef]
  20. Ghosh, R.M.; Gates, G.J.; Walsh, C.A.; Schiller, M.S.; Pass, R.H.; Ceresnak, S.R. The prevalence of arrhythmias, predictors for arrhythmias, and safety of exercise stress testing in children. Pediatr. Cardiol. 2015, 36, 584–590. [Google Scholar] [CrossRef]
  21. Burstein, D.S.; Menachem, J.N.; Opotowsky, A.R. Exercise testing for assessment of heart failure in adults with congenital heart disease. Heart Fail. Rev. 2020, 25, 647–655. [Google Scholar] [CrossRef] [PubMed]
  22. Morales Mestre, N.; Reychler, G.; Goubau, C.; Moniotte, S. Correlation Between Cardiopulmonary Exercise Test, Spirometry, and Congenital Heart Disease Severity in Pediatric Population. Pediatr. Cardiol. 2019, 40, 871–877. [Google Scholar] [CrossRef] [PubMed]
  23. Muller, J.; Hess, J.; Hager, A. Sense of coherence, rather than exercise capacity, is the stronger predictor to obtain health-related quality of life in adults with congenital heart disease. Eur. J. Prev. Cardiol. 2014, 21, 949–955. [Google Scholar] [CrossRef] [PubMed]
  24. Hock, J.; Reiner, B.; Neidenbach, R.C.; Oberhoffer, R.; Hager, A.; Ewert, P.; Muller, J. Functional outcome in contemporary children with total cavopulmonary connection–Health-related physical fitness, exercise capacity and health-related quality of life. Int. J. Cardiol 2018, 255, 50–54. [Google Scholar] [CrossRef]
  25. American College of Cardiology/American Heart Association Task Force on Clinical Data Standard; Buxton, A.E.; Calkins, H.; Callans, D.J.; DiMarco, J.P.; Fisher, J.D.; Greene, H.L.; Haines, D.E.; Hayes, D.L.; Heidenreich, P.A.; et al. ACC/AHA/HRS 2006 key data elements and definitions for electrophysiological studies and procedures: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (ACC/AHA/HRS Writing Committee to Develop Data Standards on Electrophysiology). Circulation 2006, 114, 2534–2570. [Google Scholar] [CrossRef] [Green Version]
  26. Faul, F.; Erdfelder, E.; Buchner, A.; Lang, A.-G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods 2009, 41, 1149–1160. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Attenhofer Jost, C.H.; Tan, N.Y.; Hassan, A.; Vargas, E.R.; Hodge, D.O.; Dearani, J.A.; Connolly, H.; Asirvatham, S.J.; McLeod, C.J. Sudden death in patients with Ebstein anomaly. Eur. Heart J. 2018, 39, 1970–1977a. [Google Scholar] [CrossRef] [Green Version]
  28. Walsh, P.E. Ebstein’s Anomaly of the Tricuspid Valve: A Natural Laboratory for Re-Entrant Tachycardias. JACC Clin. Electrophysiol 2018, 4, 1271–1288. [Google Scholar] [CrossRef]
  29. Kumor, M.; Lipczynska, M.; Biernacka, E.K.; Klisiewicz, A.; Wojcik, A.; Konka, M.; Kozuch, K.; Szymanski, P.; Hoffman, P. Cardiac arrest and ventricular arrhythmia in adults with Ebstein anomaly and left ventricular non-compaction. J. Cardiol. 2018, 71, 484–487. [Google Scholar] [CrossRef] [Green Version]
  30. Freeman, A.; Byard, R.W. Ebstein Anomaly and Sudden Childhood Death. J. Forensic. Sci. 2018, 63, 969–971. [Google Scholar] [CrossRef]
  31. Moore, B.; Yu, C.; Kotchetkova, I.; Cordina, R.; Celermajer, D.S. Incidence and clinical characteristics of sudden cardiac death in adult congenital heart disease. Int. J. Cardiol. 2018, 254, 101–106. [Google Scholar] [CrossRef] [PubMed]
  32. Malhotra, R.; Bakken, K.; D’Elia, E.; Lewis, G.D. Cardiopulmonary Exercise Testing in Heart Failure. JACC Heart Fail. 2016, 4, 607–616. [Google Scholar] [CrossRef] [PubMed]
  33. Goulart, C.D.L.; Dos Santos, P.B.; Caruso, F.R.; Areas, G.P.T.; Marinho, R.S.; Camargo, P.F.; Alexandre, T.D.S.; Oliveira, C.R.; da Silva, A.L.G.; Mendes, R.G.; et al. The Value of Cardiopulmonary Exercise Testing in Determining Severity in Patients with both Systolic Heart Failure and COPD. Sci. Rep. 2020, 10, 4309. [Google Scholar] [CrossRef] [Green Version]
  34. Alvarez, C.K.; Cronin, E.; Baker, W.L.; Kluger, J. Heart failure as a substrate and trigger for ventricular tachycardia. J. Interv. Card. Electrophysiol. 2019, 56, 229–247. [Google Scholar] [CrossRef]
  35. Baher, A.; Valderrabano, M. Management of ventricular tachycardia in heart failure. Methodist Debakey Cardiovasc. J. 2013, 9, 20–25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Muller, J.; Hager, A.; Diller, G.P.; Derrick, G.; Buys, R.; Dubowy, K.O.; Takken, T.; Orwat, S.; Inuzuka, R.; Vanhees, L.; et al. Peak oxygen uptake, ventilatory efficiency and QRS-duration predict event free survival in patients late after surgical repair of tetralogy of Fallot. Int. J. Cardiol. 2015, 196, 158–164. [Google Scholar] [CrossRef] [PubMed]
  37. Shafer, K.M.; Opotowsky, A.R.; Rhodes, J. Exercise testing and spirometry as predictors of mortality in congenital heart disease: Contrasting Fontan physiology with repaired tetralogy of Fallot. Congenit. Heart Dis. 2018, 13, 903–910. [Google Scholar] [CrossRef]
  38. Gatzoulis, M.A.; Balaji, S.; Webber, S.A.; Siu, S.C.; Hokanson, J.S.; Poile, C.; Rosenthal, M.; Nakazawa, M.; Moller, J.H.; Gillette, P.C.; et al. Risk factors for arrhythmia and sudden cardiac death late after repair of tetralogy of Fallot: A multicentre study. Lancet 2000, 356, 975–981. [Google Scholar] [CrossRef]
  39. Vehmeijer, J.T.; Koyak, Z.; Budts, W.; Harris, L.; Silversides, C.K.; Oechslin, E.N.; Bouma, B.J.; Zwinderman, A.H.; Mulder, B.J.M.; de Groot, J.R. Prevention of Sudden Cardiac Death in Adults with Congenital Heart Disease: Do the Guidelines Fall Short? Circ. Arrhythm Electrophysi. 2017, 10, e005093. [Google Scholar] [CrossRef]
  40. Khairy, P. Arrhythmias in Adults With Congenital Heart Disease: What the Practicing Cardiologist Needs to Know. Can. J. Cardiol 2019, 35, 1698–1707. [Google Scholar] [CrossRef]
  41. Hernandez-Madrid, A.; Paul, T.; Abrams, D.; Aziz, P.F.; Blom, N.A.; Chen, J.; Chessa, M.; Combes, N.; Dagres, N.; Diller, G.; et al. Arrhythmias in congenital heart disease: A position paper of the European Heart Rhythm Association (EHRA), Association for European Paediatric and Congenital Cardiology (AEPC), and the European Society of Cardiology (ESC) Working Group on Grown-up Congenital heart disease, endorsed by HRS, PACES, APHRS, and SOLAECE. Europace 2018, 20, 1719–1753. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Kaplan–Meier SAE-free survival for V . O2peak and age. (A) Kaplan–Meier SAE-free survival for quartiles of V . O2peak, (B) Kaplan–Meier SAE-free survival for patients reaching or failing the ROC cut-off value for V . O2peak (24.9 mL/min/kg), (C) Kaplan–Meier SAE-free survival for quartiles of age at CPET, (D) Kaplan–Meier SAE-free survival for patients exceeding or not exceeding the ROC cut-off value for age (26.2 years) at CPET, (E) Kaplan–Meier SAE-free survival separated by medians of age and V . O2peak, (F) Kaplan–Meier SAE-free survival separated by ROC cut-off values for age at CPET (26.2 years) and V . O2peak (24.9 mL/min/kg); SAE: Severe arrhythmic event, V . O2peak: Peak oxygen uptake, ROC: Receiver operating characteristic, CPET: Cardiopulmonary exercise testing.
Figure 1. Kaplan–Meier SAE-free survival for V . O2peak and age. (A) Kaplan–Meier SAE-free survival for quartiles of V . O2peak, (B) Kaplan–Meier SAE-free survival for patients reaching or failing the ROC cut-off value for V . O2peak (24.9 mL/min/kg), (C) Kaplan–Meier SAE-free survival for quartiles of age at CPET, (D) Kaplan–Meier SAE-free survival for patients exceeding or not exceeding the ROC cut-off value for age (26.2 years) at CPET, (E) Kaplan–Meier SAE-free survival separated by medians of age and V . O2peak, (F) Kaplan–Meier SAE-free survival separated by ROC cut-off values for age at CPET (26.2 years) and V . O2peak (24.9 mL/min/kg); SAE: Severe arrhythmic event, V . O2peak: Peak oxygen uptake, ROC: Receiver operating characteristic, CPET: Cardiopulmonary exercise testing.
Jcdd 09 00215 g001
Table 1. Patient characteristics, results of CPET, and the applied means of rhythm recording (total and separated in CHD groups).
Table 1. Patient characteristics, results of CPET, and the applied means of rhythm recording (total and separated in CHD groups).
TotalUVHEBSTOFTACTGA ASOTGA SMp-Value
663/1194
(55.5)
118/205
(57.6)
60/135
(44.4)
235/469
(50.1)
31/51(60.8)105/148
(70.3)
114/186
(61.8)
<0.001 [χ2]
Age [median(IQR)]25.9
(17.4–34.6)
22.7
(13.1–30.8)
37.1
(24.9–48.2)
26.2
(18.5–35.9)
23.5
(16.1–28.4)
16.2
(13.3–19.4)
31.0
(27.1–36.5)
<0.001 [KW]
BMI in kg/m2 [median(IQR)]22.4
(19.8–25.6)
21.2
(17.9–24.4)
24.1
(20.9–26.9)
22.79
(20.0–25.6)
22.2
(19.9–25.1)
20.7
(17.9–22.3)
24.2
(21.9–27.1)
<0.001 [KW]
CPET
 Peak performance reached [n/N(%)]1075/1194
(90.0)
184/205
(89.8)
121/135
(89.6)
428/469
(91.3)
44/51(86.3)132/148
(89.2)
166/186
(89.2)
0.866 [χ2]
V . O2peak in mL/min/kg
 [median(IQR)]
26.8
(21.3–33.3)
25.7
(19.8–32.2)
23.1
(18.4–28.9)
26.9
(21.5–33.2)
28.0
(23.4–33.5)
37.2
(29.4–43.5)
24.6
(20.5–29.4)
<0.001 [KW]
V . O2at in mL/min/kg [median(IQR)]16.0
(12.4–20.1)
15.7
(11.8–20.4)
13.3
(10.7–16.8)
16.2
(12.5–19.9)
17.1
(12.8–20.3)
20.3
(17.0–25.0)
14.5
(12.1–17.2)
<0.001 [KW]
V . E/ V . CO2-slope [median(IQR)]28.1
(25.4–31.5)
31.9
(29.1–35.0)
28.8
(25.7–33.1)
26.8
(24.3–29.7)
27.4
(25.0–29.9)
26.5
(24.5–28.8)
29.1
(26.2–32.1)
<0.001 [KW]
 RERmax [mean±SD]1.1 ± 0.11.1 ± 0.11.2 ± 0.11.1 ± 0.11.1 ± 0.11.1 ± 0.11.1 ± 0.10.001 [A]
 SpO2max in % [median(IQR)]94.0
(91.0–97.0)
89.0
(84.0–92.0)
97.0
(93.8–98.0)
95.5
(93.0–98.0)
96.0
(93.0–97.0)
96.0
(94.0–98.0)
93.0
(90.0–95.0)
<0.001 [KW]
Impaired systemic ventricle function [n/N(%)]160/1148 (13.9)53/194 (27.3)5/119
(4.2)
23/456 (5.0)4/50
(8.0)
5/146
(3.4)
70/183 (38.3)<0.001 [χ2]
Follow-up complete [n/N(%)]1101/1194
(92.2)
198/205
(96.6)
117/135
86.7)
419/469
(89.3)
51/51
(100.0)
139/148
(93.9)
177/186
(95.2)
<0.001 [χ2]
Holter recordings
[n/N(%)]
445/1194
(38.1)
107/205
(52.2)
58/135
(43.0)
157/469
(33.5)
17/51(33.3)29/148
(19.6)
87/186
(46.8)
<0.001 [χ2]
Implanted device
[n/N(%)]
175/1194
(14.7)
52/205
(25.4)
26/135
(19.3)
51/469
(10.9)
2/51(3.9)7/148(4.7)37/186
(19.9)
<0.001 [χ2]
 Pacemaker [n/N(%)]130/1194
(10.9)
49/205
(23.5)
24/135
(17.8)
21/469
(4.5)
1/51(2.0)4/148(2.7)31/186
(16.7)
<0.001 [χ2]
 ICD [n/N(%)]26/1194
(2.2)
2/205(1.0)2/135(1.5)17/469(3.6)0/51(0.0)1/148(0.7)4/186(2.2)0.109 [χ2]
 ICD & pacemaker [n/N(%)]16/1194
(1.3)
1/205(0.5)0/135(0.0)11/469(2.3)0/51(0.0)2/148(1.4)2/186(1.1)0.197 [χ2]
 Event recorder [n/N(%)]3/1194(0.0)0/205(0.0)0/135(0.0)2/469(0.4)1/51(2.0)0/148(0.0)0/186(0.0)0.145 [χ2]
Death during follow-up [n/N(%)]27/1194
(2.3)
8/205(3.9)9/135(6.7)8/469(1.7)1/51(2.0)0/148(0.0)1/186(0.5)<0.001 [χ2]
Heart transplantation [n/N(%)]3/1194(0.3)1/205(0.5)1/135(0.7)0/469(0.0)0/51(0.0)0/148(0.0)1/186(0.5)0.544 [χ2]
CHD: Congenital heart disease, UVH: Univentricular heart, EBS: Ebstein’s disease, TOF: Tetralogy of Fallot, TAC: Truncus arteriosus communis, TGA: Transposition of the great arteries, ASO: arterial switch operation, SM: Senning/Mustard, n/N(%): Absolute and relative frequency, IQR: Interquartile range, SD: Standard deviation, BMI: Body mass index, CPET: Cardiopulmonary exercise testing, V . O2peak: Peak oxygen uptake, V . O2 at: Oxygen uptake at anaerobic threshold, V . E/ V . CO2-slope: Estimated ventilatory efficiency, RERmax: Respiratory exchange ratio at peak exercise, SpO2max: Peripheral oxygen saturation at peak exercise, ICD: Implantable cardioverter defibrillator, χ2: Pearson’s chi-squared, KW: Kruskal-Wallis, A: ANOVA, CHD: Congenital heart disease. Echocardiographic measurement of systemic ventricle function was available in 1148 Patients.
Table 2. Occurrence of severe arrhythmic events (total and separated in CHD groups).
Table 2. Occurrence of severe arrhythmic events (total and separated in CHD groups).
[n/N[%)]TotalUVHEBSTOFTACTGA ASOTGA SMp-Value
Severe arrhythmic event97/1194(8.1)18/205(8.8)15/135(11.1)41/469(8.7)1/51(2.0)8/149(5.4)14/185(7.6)0.291 [χ2]
 SCD equivalent15/1194(1.3)2/205(1.0)3/135(2.2)8/469(1.7)0/51(0.0)1/149(0.7)1/185(0.5)0.588 [χ2]
 SCD2/1194(0.2)0/205(0.0)1/135(0.7)1/469(0.2)0/51(0.0)0/148(0.0)0/186(0.0)0.593 [χ2]
 Aborted SCD6/1194(0.5)1/205(0.5)1/135(0.7)2/169(0.4)0/51(0.0)1/149(0.7)1/185(0.5)0.990 [χ2]
 ICD-ATP8/1194(0.7)2/205(1.0)1/135(0.7)5/469(1.1)0/51(0.0)0/149(0.0)0/185(0.0)0.549 [χ2]
 Appropriate ICD-discharge6/1194(0.5)1/205(0.5)1/135(0.7)4/469(0.9)0/51(0.0)0/149(0.0)0/185(0.0)0.661 [χ2]
Hospitalisation/Syncope21/1194(1.8)2/205(1.0)2/135(1.5)13/469(2.8)0/51(0.0)2/149(1.3)2/185(1.1)0.400 [χ2]
 Hospitalisation11/1194(0.9)1/205(0.5)1/135(0.7)7/469(1.5)0/51(0.0)1/149(0.7)1/185(0.5)0.697 [χ2]
 Syncope14/1194(1.2)1/205(0.5)2/135(1.5)8/469(1.7)0/51(0.0)1/149(0.7)2/185(1.1)0.695 [χ2]
sVT/nsVT in device83/1194(7.0)17/205(8.3)12/135(8.9)33/469(7.0)1/51(2.0)7/149(4.7)13/185(7.0)0.481 [χ2]
 sVT in device8/1194(0.7)2/205(1.0)1/135(0.7)4/469(0.9)0/51(0.0)0/149(0.0)1/185(0.5)0.859 [χ2]
 nsVT in device82/1194(6.9)17/205(8.3)12/135(8.9)32/469(6.8)1/51(2.0)7/149(4.7)13/185(7.0)0.475 [χ2]
CHD: Congenital heart disease, UVH: Univentricular heart, EBS: Ebstein’s disease, TOF: Tetralogy of Fallot, TAC: Truncus arteriosus communis, TGA: Transposition of the great arteries, ASO: Arterial switch operation, SM: Senning/Mustard, SCD: Sudden cardiac death, ICD: Implantable cardioverter defibrillator, ATP: Antitachycardia pacing, sVT: Sustained Ventricular Tachycardia, nsVT: Non-sustained ventricular Tachycardia, device: ICD/pacemaker/event recorder, n/N(%): Absolute and relative frequency, χ2: Pearson’s chi-squared.
Table 3. Clinical parameters associated with SAE in univariable and multivariable logistic regression analysis.
Table 3. Clinical parameters associated with SAE in univariable and multivariable logistic regression analysis.
Univariable AnalysisMultivariable Analysis
VariableOR95% CIp-valueOR95% CIp-value
Base data
 Age [per additional year]1.0461.030–1.063<0.0011.0291.009–1.0490.004
 BMI [per 1 kg/m2 increase]1.0691.025–1.1150.002
 Gender [female]1.1070.725–1.6920.639
CPET
V . O2 peak [per 1 mL/min/kg decrease]1.0781.048–1.107<0.0011.0521.018–1.0860.002
V . O2 at [per 1 mL/min/kg decrease]1.0981.050–1.148<0.001
 VE/ V . CO2-slope [per 1 increase]1.0050.968–1.0430.797
 RERmax [per 1 increase]1.7410.199–15.2140.616
 SpO2max [per 1% decrease]1.0050.970–1.0420.767
CHD
 UVH1.0880.635–1.8640.758
 EBS1.6850.935–3.0350.083
 TOF1.1700.761–1.7980.474
 TAC0.2060.028–1.5070.120
 TGA ASO0.6170.292–1.3020.205
 TGA SM0.8310.452–1.5280.551
SAE: Severe arrhythmic event, OR: Odds ratio, CI: Confidence interval, BMI: Body mass index, CPET: Cardiopulmonary exercise testing, V . O2peak: Oxygen uptake at peak exercise, V . O2at: Oxygen uptake at anaerobic threshold, V . E/ V . CO2-slope: Estimated ventilatory efficiency, RERmax: Respiratory exchange ratio at peak exercise, SpO2max: Pulse oxymetric saturation at peak exercise, UVH: Univentricular heart, EBS: Ebstein’s disease, TOF: Tetralogy of Fallot, TAC: Truncus arteriosus communis, TGA: Transposition of the great arteries, ASO: arterial switch operation, SM: Senning/Mustard. Individual CHD subgrups were compared to a composite of the remaining CHD. Variables with a p-value of less than 0.10 in univariable analysis were included to the multivariable model and underwent backwards stepwise regression. V . O2at was excluded from multivariable analysis, due to correlation with V . O2peak.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

von Sanden, F.; Ptushkina, S.; Hock, J.; Fritz, C.; Hörer, J.; Hessling, G.; Ewert, P.; Hager, A.; Wolf, C.M. Peak Oxygen Uptake on Cardiopulmonary Exercise Test Is a Predictor for Severe Arrhythmic Events during Three-Year Follow-Up in Patients with Complex Congenital Heart Disease. J. Cardiovasc. Dev. Dis. 2022, 9, 215. https://doi.org/10.3390/jcdd9070215

AMA Style

von Sanden F, Ptushkina S, Hock J, Fritz C, Hörer J, Hessling G, Ewert P, Hager A, Wolf CM. Peak Oxygen Uptake on Cardiopulmonary Exercise Test Is a Predictor for Severe Arrhythmic Events during Three-Year Follow-Up in Patients with Complex Congenital Heart Disease. Journal of Cardiovascular Development and Disease. 2022; 9(7):215. https://doi.org/10.3390/jcdd9070215

Chicago/Turabian Style

von Sanden, Felix, Svetlana Ptushkina, Julia Hock, Celina Fritz, Jürgen Hörer, Gabriele Hessling, Peter Ewert, Alfred Hager, and Cordula M. Wolf. 2022. "Peak Oxygen Uptake on Cardiopulmonary Exercise Test Is a Predictor for Severe Arrhythmic Events during Three-Year Follow-Up in Patients with Complex Congenital Heart Disease" Journal of Cardiovascular Development and Disease 9, no. 7: 215. https://doi.org/10.3390/jcdd9070215

APA Style

von Sanden, F., Ptushkina, S., Hock, J., Fritz, C., Hörer, J., Hessling, G., Ewert, P., Hager, A., & Wolf, C. M. (2022). Peak Oxygen Uptake on Cardiopulmonary Exercise Test Is a Predictor for Severe Arrhythmic Events during Three-Year Follow-Up in Patients with Complex Congenital Heart Disease. Journal of Cardiovascular Development and Disease, 9(7), 215. https://doi.org/10.3390/jcdd9070215

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop