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Disclosure Information Brian W. McCrindle I have the following financial relationships to disclose: Consultant /investigator for: Aegerion Daichii Sankyo Janssen Merck I will not discuss off label use and/or investigational use in my presentation. CHSS Work Weekend – November 18-20, 2016 A Modest Proposal: We are Overdue for an International Fontan Registry Brian W. McCrindle, MD MPH Labatt Family Heart Centre, The Hospital for Sick Children Department of Pediatrics, University of Toronto A Modest Proposal Jonathan Swift - 1729 Saturn Devouring His Son Francisco Goya - 1823 An Uncertain Reality Donald Trump - 2016 The Fontan Procedure Promise and Reality Single ventricle palliation Natural history: - rare long-term adult survivors, balanced circulations Early palliations: - arterial shunts, ductal stent, SVC connections - pulmonic outflow procedures, pulmonary banding - systemic outflow procedures, DKS - atrial septostomy - Norwood, hybrid procedures Pulmonary Atresia with Intact Ventricular Septum Single ventricle palliation Tricuspid atresia (Wilder et al. JTCVS 2015): 6 year survival: arterial shunt 85%, PA band 93%, SCPC 93% Systemic right venticle (Ohye et al. NEJM 2011): 12 month survival: Norwood RVPA 74%, MBT 64% Norwood interstage mortality 12% (Ghanayem et al, JTCVS 2012) Outcomes after SCPC (Alsoufi et al. EJCTS 2012): 6 year competing risks: 17% dead, 76% Fontan, 7% still waiting Single ventricle palliation Cavopulmonary connections: 1958 Glenn – SVC to distal RPA shunt 1971 Fontan/Baudet – “Fontan” procedure 1971-73 Bjork, Kreutzer – modifications 1972 Azzolina – bidirectional SVC anastomosis 1988 DeLeval – lateral tunnel 1989 Norwood/Jacobs – hemi-Fontan 1990 Marcelletti – extracardiac conduit 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 n=1,052 patients with Fontan from 1973-2012 Type of Fontan operation Atriopulmonary connection Lateral tunnel Extracardiac conduit Other 59% 25% 11% 5% 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 n=1,052 patients with Fontan from 1973-2012 Pre-operative anatomy Tricuspid atresia Double inlet LV Heterotaxy Pulmonary atresia/ IVS HLHS Other 26% 26% 13% 3% 2% 30% 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Overall survival 71% 61% 43% 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Causes of death known for 281 of 426 patients Primary cardiac cause 83% (4 malignancies) Contributing factors Respiratory failure Renal insufficiency Sudden death/arrhythmia Bleeding complications DIC / sepsis PLE Hepatic insufficiency 36% 30% 19% 18% 17% 11% 10% 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Overall survival by surgical era 1991-2000 < 1990 2001+ 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Overall survival by Fontan type Extracardiac conduit Other AP connection Lateral tunnel 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Overall survival by lesion 40 year follow-up after the Fontan operation: Longterm outcomes of 1,052 patients. Pundi et al. JACC 2015; 66:1700-10 Trends in Fontan surgery and risk factors for early adverse outcomes: ANZ Fontan Registry. Iyengar et al. JTCVS 2014; 148:566-75 Australia and New Zealand Fontan Registry 1975-2010 n=1095 Fontans, 1071 with sufficient data 1989 previous palliations in 990 patients Trends in Fontan surgery and risk factors for early adverse outcomes: ANZ Fontan Registry. Iyengar et al. JTCVS 2014; 148:566-75 Early outcomes by era 1975-90 1991-2000 2001-10 Early mortality 8% 4% 1% Early failure 9% 7% 4% Prolonged effusions 4% 8% 8% LOS >30 days 16% 12% 10% Composite outcomes 26% 20% 12% * Similar breakdown by Fontan type (AP > LT > ECC) Outcomes associated with AP connection type, age at Fontan, underlying morphology (HLHS, heterotaxy), high PA pressures Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Follow-up of 1006 survivors of 1089 patients Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Overall survival by Fontan type Extracardiac conduit Lateral tunnel AP connection Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Freedom from late Fontan failure Non-HLHS RV HLHS NYHA III/IV, PLE/plastic bronchitis, Fontan conversion or takedown, transplantation, death LV Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Freedom from late adverse events Failure, SVT, stroke, pulmonary embolism, pacemaker Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Redefining expectations of long-term survival after the Fontan procedure: ANZ Fontan Registry. D’Udekem et al. Circulation 2014; 130:S32-S38 Freedom from supraventricular tachycardia Extracardiac conduit Lateral tunnel AP connection NIH Pediatric Heart Network Fontan Cross-sectional Study Initial PI – BJ Clark (Anderson, Atz) 7 clinical centres; data collection 2003-2004 Inclusion: 6-18 years of age Minimum participation: echo, BNP, parent CHQ Followed at study centre (or affiliate) Exclusion: Important disorder precluding participation NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study Limitations: Undefined denominator; not an inception cohort Incomplete participation; representativeness and generalizability Fewer Hispanics Fewer with dev. delay / learning disability Retrospective collection of medical history NIH Pediatric Heart Network Fontan Cross-sectional Study Contemporary outcomes after the Fontan procedure: a Pediatric Heart Network Study. Anderson et al. J Am Coll Cardiol 2008; 52:85. Main findings: –FHS within normal range for 80% –BNP low (median 13 pg/mL) –Ejection fraction normal for 73% –Evidence of diastolic dysfunction in 72% –Peak VO2 66% of normal (many sub-max) –Lower EF, more AVVR in single RV’s NIH Pediatric Heart Network Fontan Cross-sectional Study Relationships of patient and medical characteristics to health status in children and adolescents after the Fontan procedure. McCrindle et al. Circulation 2006; 113:1123. NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study NIH Pediatric Heart Network Fontan Cross-sectional Study Laboratory measures of exercise capacity and ventricular characteristics and function are weakly associated with functional health status after Fontan procedure. McCrindle et al. Circulation 2010; 121:34. Overall, more associations with physical FHS than psychosocial FHS; weak associations in general. –Higher BNP, but R2=0.01. –Physical FHS and exercise (max work rate; R2=0.09), echo (Tei index [interaction], end-systolic volume, AVVR; R2=0.14), MRI (mass/EDV, ESV; R2=0.11) NIH Pediatric Heart Network Fontan Cross-sectional Study Clinical perspective: 1. The impact of treatment strategies targeted toward those with important laboratory abnormalities in the pathological range may influence FHS to an unknown degree but should be an important component of future studies. 2. Strategies targeting FHS and its non-cardiac determinants directly, such as through rehabilitation programs and by addressing psychosocial morbidities, may have a greater impact on health-related quality of life. 3. Such programs should be developed and evaluated for these high-risk and complex patients. NIH Pediatric Heart Network Fontan Cross-sectional Study Longitudinal assessment: Fontan 2 Follow-up of current cohort Vital status, FHS, interim medical events, access to health care, and self-reported availability and willingness to participate in future studies Fontan 3 (SVR 2 and 3) Further follow-up of current cohort Includes cardiopulmonary exercise testing, echo, ECG, BNP, biorepository Transition and access to adult heart care The long-term management of children and adults with a Fontan circulation: A systematic review. Gnanappa et al. Pediatr Cardiol 2016 [Epub] Systematic review using PRISMA guidelines: - Reasonable quality evidence for non-inferiority of ASA over warfarin for thromboprophylaxis in standard risk Fontans - No strong evidence for routine use of ACE inhibitors, beta blockers, pulmonary vasodilators - Little evidence for arrhythmia treatment, exercise restriction/prescription, routine fenestration closure, elective Fontan conversion, screening/management of liver abnormalities Survey of cardiologists (ANZ – 50% response): no uniformity Pulmonary Atresia with Intact Ventricular Septum No simple answers Pre-Fontan optimization Preservation of optimal ventricular function Preservation of low pulmonary vascular resistance (systemic vascular resistance, vascular function, inflammation) Systemic venous / lymphatic hypertension Hepatic cirrhosis, PLE, plastic bronchitis Thrombosis, arrhythmia, renal dysfunction, sarcopenia, osteoporosis, lymphopenia Neurodevelopmental / psychosocial / functional outcomes / poor growth (short stature) / pregnancy Need for data Uniform (and deep) institutional data collection Single ventricle survivorship programs The relentless effects of the Fontan. Rychik. Semin Thorac CV Surg 19:37-43 Why doesn’t everyone do this? We don’t/can’t measure some of these things. It’s way too complicated / expensive / resource-intensive. My patients won’t do it. My patient has unique features. I followed it and didn’t believe (ie. agree with) the results, or didn’t use it, or didn’t know what to do. - Our results are better with …. - Our results are better than …. - The traditional approach to risk stratification and prediction Relationships between factors and outcomes: Causal Confounder Mediators Effect modifiers / interaction Random error Based on probability theory – aimed at confidence Univariable to multivariable approach The traditional approach to risk stratification and prediction More complex stats to address more complex questions – yields more complex answers, shades of grey or “it depends”. - Longitudinal models - Multiple phases of risk - Competing outcomes - Repeating and interim events - Time-varying covariates Nonetheless, the overall R2 remains low. The complexity of the Fontan pathway - Underlying heterogeneity, unknown genetic and environmental influences. - Multiple procedures / impact of management. - Operator dependence. - Continuous evolution. Human problem solving - Flawed pattern recognition - Reductionistic – reduce complexity, preference for binary choices - However, not rigorous - Past experiences - Errors in weighting - Poor recognition of interaction - Prone to suggestion Factors in clinical decision-making - Mental state The first patient I saw with this The most recent patient I saw with this My overall experience (impression or QA) Literature, critical review, synthesis Key influencers, authorities, CME Individual patient characteristics, preferences Practice environment, resources A new approach Biological systems are complex and based on many associations. Need to understand and model these complex systems. Define phenome-wide associations. Necessary step towards personalized or precision medicine. Synergy and accelerated discovery; “in silico” research. Computational biology Continuously define patterns in data. eg. speech and face recognition, targeted advertising BIG DATA – Deep and wide Electronic medical record Monitoring Genetic / proteomic / biome data Environmental / social data Other external data sources Patient reported data, social media The nature of databases Garbage – Some of the data for some of the patients Registry – Some of the data for all of the patients Academic database – All of the data for a defined subset of patients Integrated database – All of the data for all of the patients BIG ANALYTICS - Logistic regression - Support vector machine - Deep learning, machine learning - Artificial neural networks On demand access to large, continuously updated database + high performance computing. EMR – phenotypic profiles – integrative predictive models Logistical challenges Access, use agreements Privacy, security Linkages, translation, common terms Need for data – The modest proposal International Fontan Registry Deep data and wide data Computational biomedicine platform – big analytics Discovery Prediction Nested mechanistic studies, clinical trials Fontan BIG DATA Systematic review, position paper Education, EMBRACE COMPLEXITY Prepare for BIG DATA - Global unique identifier - Standard diagnostic codes, definitions - Standard data collection protocols - Greater usability of EMRs - Centralized biobanks - Patient engagement - Policy, funding for logistics Interaction between inflammation, thrombin generation and coagulation post -CPB The modest proposal – International Fontan Registry 1. Do we need this? Is now the time? 2. How do we do this? – Who should build it? – How deep / how wide? – How should it be funded? – How do we keep it going? 3. How do we use this?