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When an entire cohort of patients receives a treatment, it is difficult to estimate the treatment effect in the treated because there are no directly comparable untreated patients. Attempts can be made to find a suitable control group (e.g., historical controls), but underlying differences between the treated and untreated can result in bias. Here we show how negative control outcomes combined with difference-in-differences analysis can be used to assess bias in treatment effect estimates and obtain unbiased estimates under certain assumptions. Causal diagrams and potential outcomes are used to explain the methods and assumptions. We apply the methods to UK Cystic Fibrosis Registry data to investigate the effect of ivacaftor, introduced in 2012 for a subset of the cystic fibrosis population with a particular genotype, on lung function and annual rate (days/year) of receiving intravenous (IV) antibiotics (i.e., IV days). We consider 2 negative control outcomes: outcomes measured in the pre-ivacaftor period and outcomes among persons ineligible for ivacaftor because of their genotype. Ivacaftor was found to improve lung function in year 1 (an approximately 6.5–percentage-point increase in ppFEV1), was associated with reduced lung function decline (an approximately 0.5–percentage-point decrease in annual ppFEV1 decline, though confidence intervals included 0), and reduced the annual rate of IV days (approximately 60% over 3 years).

Atrial fibrillation (AF) in hypertrophic cardiomyopathy (HC) is associated with significant symptomatic deterioration, heart failure, and thromboembolic disease. There is a need for better mechanistic insight and improved identification of at risk patients. We used cardiovascular magnetic resonance (CMR) to assess predictors of AF in HC, in particular the role of myocardial fibrosis. Consecutive patients with HC referred for CMR 2003 to 2013 were prospectively enrolled. CMR parameters including left ventricular volumes, presence and percentage of late gadolinium enhancement in the left ventricle (%LGE) and left atrial volume index (LAVi) were measured. Overall, 377 patients were recruited (age 62 ± 14 years, 73% men). Sixty-two patients (16%) developed new-onset AF during a median follow up of 4.5 (interquartile range 2.9 to 6.0) years. Multivariable analysis revealed %LGE (hazard ratio [HR] 1.3 per 10% (confidence interval: 1.0 to 1.5; p = 0.02), LAVi (HR 1.4 per 10 mL/m 2[1.2 to 1.5; p < 0.001]), age at HC diagnosis, nonsustained ventricular tachycardia and diabetes to be independent predictors of AF. We constructed a simple risk prediction score for future AF based on the multivariable model with a Harrell's C-statistic of 0.73. In conclusion, the extent of ventricular fibrosis and LA volume independently predicted AF in patients with HC. This finding suggests a mechanistic relation between fibrosis and future AF in HC. CMR with quantification of fibrosis has incremental value over LV and LA measurements in risk stratification for AF. A risk prediction score may be used to identify patients at high risk of future AF who may benefit from more intensive rhythm monitoring and a lower threshold for oral anticoagulation.

Aims:\ud There is an important need for better biomarkers to predict left ventricular (LV) remodelling in dilated cardiomyopathy (DCM). We undertook a comprehensive assessment of cardiac structure and myocardial composition to determine predictors of remodelling.\ud \ud Methods and results:\ud Prospective study of patients with recent‐onset DCM with cardiovascular magnetic resonance (CMR) assessment of ventricular structure and function, extracellular volume (T1 mapping), myocardial strain, myocardial scar (late gadolinium enhancement) and contractile reserve (dobutamine stress). Regression analyses were used to evaluate predictors of change in LV ejection fraction (LVEF) over 12 months. We evaluated 56 participants (34 DCM patients, median LVEF 43%; 22 controls). Absolute LV contractile reserve predicted change in LVEF (1% increase associated with 0.4% increase in LVEF at 12 months, P = 0.02). Baseline myocardial strain (P = 0.39 global longitudinal strain), interstitial myocardial fibrosis (P = 0.41), replacement myocardial fibrosis (P = 0.25), and right ventricular contractile reserve (P = 0.17) were not associated with LV reverse remodelling. There was a poor correlation between contractile reserve and either LV extracellular volume fraction (r = −0.22, P = 0.23) or baseline LVEF (r = 0.07, P = 0.62). Men were more likely to experience adverse LV remodelling (P = 0.01) but age (P = 0.88) and disease‐modifying heart failure medication (beta‐blocker, P = 0.28; angiotensin‐converting enzyme inhibitor, P = 0.92) did not predict follow‐up LVEF.\ud \ud Conclusions:\ud Substantial recovery of LV function occurs within 12 months in most patients with recent‐onset DCM. Women had the greatest improvement in LVEF. A low LV contractile reserve measured by dobutamine stress CMR appears to identify patients whose LVEF is less likely to recover.

Objectives: This study sought to quantify myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) in dilated cardiomyopathy (DCM) and examine the relationship between myocardial ...

Objectives This study aims to investigate the prognostic significance of late gadolinium enhancement (LGE) in patients without coronary artery disease and with normal range left ventricular (LV) volumes and ejection fraction. Background Nonischemic patterns of LGE with normal LV volumes and ejection fraction are increasingly detected on cardiovascular magnetic resonance, but their prognostic significance, and consequently management, is uncertain. Methods Patients with midwall/subepicardial LGE and normal LV volumes, wall thickness, and ejection fraction on cardiovascular magnetic resonance were enrolled and compared to a control group without LGE. The primary outcome was actual or aborted sudden cardiac death (SCD). Results Of 748 patients enrolled, 401 had LGE and 347 did not. The median age was 50 years (interquartile range: 38-61 years), LV ejection fraction 66% (interquartile range: 62%-70%), and 287 (38%) were women. Scan indications included chest pain (40%), palpitation (33%) and breathlessness (13%). No patient experienced SCD and only 1 LGE+ patient (0.13%) had an aborted SCD in the 11th follow-up year. Over a median of 4.3 years, 30 patients (4.0%) died. All-cause mortality was similar for LGE+/- patients (3.7% vs 4.3%; P = 0.71) and was associated with age (HR: 2.04 per 10 years; 95% CI: 1.46-2.79; P < 0.001). Twenty-one LGE+ and 4 LGE- patients had an unplanned cardiovascular hospital admission (HR: 7.22; 95% CI: 4.26-21.17; P < 0.0001). Conclusions There was a low SCD risk during long-term follow-up in patients with LGE but otherwise normal LV volumes and ejection fraction. Mortality was driven by age and not LGE presence, location, or extent, although the latter was associated with greater cardiovascular hospitalization for suspected myocarditis and symptomatic ventricular tachycardia., Central Illustration

ObjectiveWith increasing age, the prevalence of aortic stenosis grows exponentially, increasing left heart pressures and potentially leading to myocardial hypertrophy, myocardial fibrosis and adverse outcomes. To identify patients who are at greatest risk, an outpatient model for risk stratification would be of value to better direct patient imaging, frequency of monitoring and expeditious management of aortic stenosis with possible earlier surgical intervention. In this study, a relatively simple model is proposed to identify myocardial fibrosis in patients with a diagnosis of moderate or severe aortic stenosis.DesignPatients with moderate to severe aortic stenosis were enrolled into the study; patient characteristics, blood work, medications as well as transthoracic echocardiography and cardiovascular magnetic resonance were used to determine potential identifiers of myocardial fibrosis.SettingThe Royal Brompton Hospital, London, UKParticipantsOne hundred and thirteen patients in derivation cohort and 26 patients in validation cohort.Main outcome measuresIdentification of myocardial fibrosis.ResultsThree blood biomarkers (serum platelets, serum urea, N-terminal pro-B-type natriuretic peptide) and left ventricular ejection fraction were shown to be capable of identifying myocardial fibrosis. The model was validated in a separate cohort of 26 patients.ConclusionsAlthough further external validation of the model is necessary prior to its use in clinical practice, the proposed clinical model may direct patient care with respect to earlier magnetic resonance imagining, frequency of monitoring and may help in risk stratification for surgical intervention for myocardial fibrosis in patients with aortic stenosis.

Personalized external aortic root support (PEARS) was introduced in 2004 for prevention of aortic root dilatation in Marfan patients. The individual's aortic root is replicated by 3-dimensional printing. A polymer mesh sleeve is manufactured, which is implanted with the aim to support and stabilize the aortic wall.The aim of this study was to assess effectiveness of PEARS for prevention of aortic root dilatation in Marfan patients.A total of 24 consecutive Marfan patients operated 2004 to 2012 were prospectively monitored with magnetic resonance imaging. Following a pre-defined protocol, baseline and follow-up aorta measurements were made in a blinded random sequence.The mean age of the patients was 33 ± 13.3 years (range: 16 to 58 years), and the mean aortic root diameter was 45 ± 2.8 mm (range: 41 to 52 mm). Follow-up was 6.3 ± 2.6 years. There was no increase in the aortic root and ascending aorta diameters, but there was a tendency toward reduction: annulus diameter 28.9 ± 2.3 mm to 28.5 ± 2.4 mm (change -0.39 mm, 95% confidence interval [CI]: -1.05 to 0.27 mm), sinus of Valsalva diameter 44.9 ± 2.9 mm to 44.5 ± 3.0 mm (change -0.37 mm, 95% CI: -1.23 to 0.51 mm), and ascending aorta diameter 32.4 ± 3.6 mm to 32.3 ± 3.7 mm (change -0.10 mm, 95% CI: -0.92 to 0.74 mm). In the same period, the descending aorta diameter increased from 22.9 ± 2.4 mm to 24.2 ± 3.0 mm (change 1.32 mm, 95% CI: 0.70 to 1.94 mm; p 0.001) with a tendency toward increase in aortic arch diameter 24.1 ± 2.0 mm to 24.5 ± 2.8 mm (change 0.41 mm, 95% CI: -0.56 to 1.37 mm).PEARS is effective in stabilizing the aortic root and preventing its dilatation. It is a viable alternative for prevention of aortic root dissection in Marfan patients.

Background: Standard of care (SOC) for second-line (2L) therapy (tx) of relapsed/refractory aggressive B-cell non-Hodgkin lymphomas (R/R aNHL) includes platinum-based chemotherapy (PCT) followed by autologous hematopoietic cell transplantation (aHCT) in responders. Outcomes are poor for patients (pts) with R/R aNHL who experience progression during or within 12 months (mo) of 1L tx. Tisagenlecleucel (tisa-cel) is an autologous chimeric antigen receptor (CAR) T-cell tx targeting CD19 approved for pts with large B-cell lymphoma (LBCL; US) and diffuse LBCL (non-US) after ≥2 lines of tx. BELINDA (NCT03570892) is a Phase III, randomized, global (18 countries) study of tisa-cel vs SOC as 2L tx for R/R aNHL. Methods: Adults with confirmed R/R aNHL within 12 mo after 1L chemo-immunotherapy were eligible. All pts underwent leukapheresis for tisa-cel production and were randomized 1:1 to receive tisa-cel (Arm A) or SOC (Arm B) and stratified by 1L duration of response, International Prognostic Index (IPI), and geographic region. Arm A received optional bridging tx (investigator choice of protocol-defined PCT regimens) followed by lymphodepletion (LD; generally, fludarabine 25 mg/m 2/day [d] + cyclophosphamide 250 mg/m 2/d for 3 d) and followed by a single tisa-cel infusion (0.6-6×10 8 CAR-T cells). Arm B received investigator choice of PCT regimen followed by aHCT in responders or a second PCT in nonresponders. Disease assessments were performed at 6 and 12 weeks (wk), then planned every 3 mo for year (y) 1 and every 6 mo for y 2. The primary endpoint was event-free survival (EFS), defined as time from randomization to stable disease (SD) or progressive disease (PD) at or after wk 12 assessment or death at any time. SD/PD at wk 6 was not considered an event on either Arm. Arm A's wk 6 assessment evaluated disease burden before tisa-cel infusion and after bridging if administered. Arm B's wk 6 assessment determined if response was sufficient for aHCT or if a second PCT regimen was needed prior to aHCT. Results: As of May 6, 2021, 322 pts were randomized: 162 to Arm A and 160 to Arm B. In Arms A and B, 33% and 29% were ≥65 y, and 66% and 67% had primary refractory disease, respectively. Baseline characteristics indicated imbalances with more high-grade B-cell lymphomas (24% vs 17%) and IPI ≥2 (65% vs 58%) in Arm A vs B. In Arm A, 47% received ≥2 cycles of bridging PCT, 36% received 1 cycle, and 17% received 0. In Arm A, 96% received tisa-cel; the median dose was 2.9×10 8 cells. In Arm B, 96% received ≥2 PCT cycles and 54% received ≥2 different PCT regimens; 33% received aHCT, including 10% requiring ≥2 different PCT regimens before aHCT. Median time from randomization to aHCT was 92 d (range, 61-158 d). Median follow-up was 10 mo (range, 2.9-23.2 mo). At wk 6 assessment, 26% had PD in Arm A vs 14% in Arm B. Median EFS in Arms A and B was 3 mo (HR 1.07; 95% CI, 0.82-1.40; P=0.69); Arm A pts with PD at wk 6 had shorter EFS. Overall response rate (ORR) at wk 12 in Arm A was 46% vs 43% in Arm B; complete response rate in both arms was 28%. Some pts responded to tisa-cel after SD/PD at wk 12 without additional tx but were counted as an event in EFS analysis. In Arm B, 81 pts (51%) crossed over to receive tisa-cel, 71 without receiving aHCT. Of 72 crossover pts with response assessment, ORR to tisa-cel was 40%. Overall survival was immature at data cutoff. In Arm A, 84% had a grade ≥3 adverse event (AE; vs 90% in Arm B), including grade ≥3 cytokine release syndrome in 5% (CRS; Lee 2014) and grade ≥3 neurologic events (NE) in 3% (CTCAE v5.0), with no grade 5 CRS/NE. Median times to CRS and NE onset were 4 and 5 d, respectively; median time to resolution was 5 and 9 d. Fifty-two (32%) and 45 (28%) pts in Arms A and B died on study, including 42 (26%) and 32 (20%) deaths due to PD, respectively. Ten pts in Arm A and 13 in Arm B died of AEs. Conclusions: Tisa-cel as 2L tx in R/R aNHL pts did not have a higher EFS vs SOC. Possible contributing factors include study design elements, such as optional PCT bridging tx in Arm A with potential delay of tisa-cel infusion until after wk 6 assessment, allowance of a different PCT regimen to reach aHCT in Arm B after inadequate response to first PCT, and imbalances in relevant pt characteristics. Insights from this randomized Phase III study will inform use of cellular tx in the 2L R/R aNHL setting and the design of future CAR-T trials. Figure 1 Figure 1. Disclosures Bishop: Arcellx, Autolus, Bristol-Myers Squibb, CRISPR, Kite/Gilead, and Novartis: Consultancy, Research Funding; Bristol-Myers Squibb and Kite/Gilead: Other: fees for non-CME/CE services . Dickinson: Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Roche: Consultancy, Honoraria, Other: travel, accommodation, expenses, Research Funding, Speakers Bureau; Gilead Sciences: Consultancy, Honoraria, Speakers Bureau; MSD: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Takeda: Research Funding; Celgene: Research Funding; Amgen: Honoraria. Purtill: Novartis: Honoraria; Gilead: Honoraria; BMS Celgene: Honoraria. Barba: Amgen, Celgene, Gilead, Incyte, Jazz Pharmaceuticals, MSD, Novartis, Pfizer and Roche, Jazz Phar,aceuticals: Honoraria; Cqrlos III heqlth Institute, aSOCIACION espanola contra el cancer, PERIS: Research Funding. Santoro: Arqule: Consultancy, Speakers Bureau; Sanofi: Consultancy; Takeda: Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Speakers Bureau; AbbVie: Speakers Bureau; Amgen: Speakers Bureau; Celgene: Speakers Bureau; Servier: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Eli-Lilly: Speakers Bureau; Sandoz: Speakers Bureau; Eisai: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hamad: Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kato: Abbvie: Consultancy, Research Funding; AstraZeneca: Consultancy; Bristol-Myers Squibb: Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Chugai: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Dainippon-Sumitomo: Honoraria; Eisai: Consultancy, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Kyowa Kirin: Honoraria, Research Funding; MSD: Honoraria; Mundi: Honoraria; Novartis: Consultancy, Research Funding; Ono: Honoraria, Research Funding. Sureda: Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support for attending meetings and/or travel, Research Funding, Speakers Bureau; BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support for attending meetings and/or travel, Speakers Bureau; MSD: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Kite, a Gilead Company: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GSK: Consultancy, Honoraria, Speakers Bureau; Roche: Other: Support for attending meetings and/or travel; Bluebird: Membership on an entity's Board of Directors or advisory committees; Mundipharma: Consultancy. Greil: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; AstraZeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Merck Sharp & Dohme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; Sandoz: Honoraria, Research Funding. Thieblemont: Gilead Sciences: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Bristol Myers Squibb/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses , Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Cellectis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Hospira: Research Funding; Bayer: Honoraria; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses . Morschhauser: F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai: Honoraria; Janssen: Honoraria; Genmab: Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech, Inc.: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZenenca: Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy; Incyte: Membership on an entity's Board of Directors or advisory committees. Janz: Janssen: Honoraria, Other: Meeting Fees; Novartis: Honoraria; Takeda: Honoraria, Other: Travel Accommodations, Expenses, Meeting fees; Roche: Honoraria; Gilead: Other: Travel Accommodations, Expenses, Meeting fees. Flinn: Servier Pharmaceuticals: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Yingli Pharmaceuticals: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Seagen: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Servier Pharmaceuticals: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Unum Therapeutics: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute, Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; Seattle Genetics: Research Funding; Sarah Cannon Research Institute: Current Employment; Vincerx Pharma: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Hutchison MediPharma: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Century Therapeutics: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Triphase Research & Development Corp.: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Trillium Therapeutics: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Teva: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Rhizen Pharmaceuticals: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Portola Pharmaceuticals: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Pfizer: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Novartis: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Merck: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Loxo: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Karyopharm Therapeutics: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Infinity Pharmaceuticals: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Incyte: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; IGM Biosciences: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Forty Seven: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Forma Therapeutics: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Curis: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Constellation Pharmaceuticals: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Celgene: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Calithera Biosciences: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; ArQule: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Agios: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Acerta Pharma: Other: All research funding payments made to Sarah Cannon Research Institute, Research Funding; Yingli Pharmaceuticals: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Verastem: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Unum Therapeutics: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; TG Therapeutics: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Takeda: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Seagen: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Roche: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Pharmacyclics LLC, an AbbVie Company: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Nurix Therapeutics: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; MorphoSys: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Kite, a Gilead Company: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Juno Therapeutics: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Janssen: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Iksuda Therapeutics: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Great Point Partners: Consultancy, Other: All consultancy payments made to Sarah Cannon Research Institute; Gilead Sciences: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; Genentech: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; BeiGene: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; AstraZeneca: Consultancy, Other: All consultancy and research funding payments made to Sarah Cannon Research Institute, Research Funding; AbbVie: Consultancy, Other: All Consultancy and Research Funding payments made to Sarah Cannon Research Institute, Research Funding. Kwong: Novartis: Consultancy, Honoraria, Research Funding. Kersten: Novartis: Consultancy, Honoraria, Other: Travel support; Takeda: Research Funding; Kite, a Gilead Company: Consultancy, Honoraria, Other: Travel support, Research Funding; Celgene: Research Funding; Roche: Consultancy, Honoraria, Other: Travel support, Research Funding; Miltenyi Biotec: Consultancy, Honoraria, Other: Travel support; BMS/Celgene: Consultancy, Honoraria. Minnema: Janssen: Consultancy, Honoraria; Celgene: Other: Travel expenses; BMS: Consultancy; Kite/Gilead: Consultancy; Alnylam: Consultancy. Holte: Roche: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Nanovector: Membership on an entity's Board of Directors or advisory committees, Other: lectures honorarias; Novartis: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Nordic: Membership on an entity's Board of Directors or advisory committees. Martinez-Lopez: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maziarz: Novartis: Consultancy, Other: Data and Safety Monitoring board, Research Funding; Incyte Corporation: Consultancy, Honoraria; Bristol-Myers, Squibb/Celgene,, Intellia, Kite: Honoraria; Allovir: Consultancy, Research Funding; Artiva Therapeutics: Consultancy; CRISPR Therapeutics: Consultancy; Intellia: Honoraria; Omeros: Research Funding; Athersys: Other: Data and Safety Monitoring Board, Patents & Royalties; Vor Pharma: Other: Data and Safety Monitoring Board. McGuirk: Kite/ Gilead: Consultancy, Honoraria, Other: travel accommodations, expense, Kite a Gilead company, Research Funding, Speakers Bureau; Juno Therapeutics: Consultancy, Honoraria, Research Funding; Allovir: Consultancy, Honoraria, Research Funding; Magenta Therapeutics: Consultancy, Honoraria, Research Funding; EcoR1 Capital: Consultancy; Novartis: Research Funding; Fresenius Biotech: Research Funding; Astelllas Pharma: Research Funding; Bellicum Pharmaceuticals: Research Funding; Novartis: Research Funding; Gamida Cell: Research Funding; Pluristem Therapeutics: Research Funding. Bachy: Kite, a Gilead Company: Honoraria; Novartis: Honoraria; Daiishi: Research Funding; Roche: Consultancy; Takeda: Consultancy; Incyte: Consultancy. Dreyling: Amgen: Speakers Bureau; Astra Zeneca: Consultancy, Speakers Bureau; Bayer: Consultancy, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau; Gilead Kite: Consultancy, Research Funding, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Janssen: Consultancy, Research Funding, Speakers Bureau; Novartis: Consultancy, Speakers Bureau; Roche: Consultancy, Research Funding, Speakers Bureau; AbbVie: Research Funding; BeiGene: Consultancy, Speakers Bureau; Genmab: Consultancy; MorphoSys: Consultancy. Harigae: Bristol Myers Squibb: Honoraria; Novartis Pharma: Honoraria, Research Funding; Chugai Pharma: Honoraria; Janssen Pharma: Honoraria; Ono pharma: Honoraria, Other: Subsidies or Donations; Astellas Pharma: Other: Subsidies or Donations; Kyowakirin: Other: Subsidies or Donations. Bond: Kite/Gilead: Honoraria. Andreadis: Merck: Research Funding; BMS: Research Funding; CRISPR Therapeutics: Research Funding; GenMAB: Research Funding; Novartis: Research Funding; Roche: Current equity holder in publicly-traded company, Ended employment in the past 24 months; Epizyme: Honoraria; Incyte: Honoraria; TG Therapeutics: Honoraria; Kite: Honoraria; Karyopharm: Honoraria; Atara: Consultancy, Honoraria. McSweeney: Kite-Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gamida: Consultancy, Honoraria; TG Theraputics: Consultancy, Honoraria; Autolous Limited: Research Funding; Novartis: Research Funding; NKARTA: Research Funding; Allovir: Research Funding. Newsome: Novartis: Current Employment. Degtyarev: Novartis: Current Employment, Current equity holder in publicly-traded company. Del Corral: Novartis: Current Employment. Andreola: Novartis: Current Employment, Current holder of stock options in a privately-held company. Masood: Novartis: Current Employment, Current holder of stock options in a privately-held company. Schuster: AbbVie, Acerta, Celgene/Juno, DTRM Bio, Genentech, Incyte, Merck, Novartis, Portola, and TG Therapeutics: Research Funding; Acerta, AlloGene, AstraZeneca, BeiGene, Celgene/Juno, Genentech/Roche, LoxoOncology, Novartis, and Tessa Therapeutics: Consultancy; Acerta, AlloGene, AstraZeneca, BeiGene, Celgene, Genentech/Roche, LoxoOncology, Novartis, Nordic Nanovector, Pfizer, and Tessa Therapeutics;: Honoraria; Novartis: Other: Personal fees, Patents & Royalties; AbbVie, Celgene, Novartis, Juno, Nordic Nanovector, and Pfizer: Other: Steering Committee Participation. Jaeger: BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Norvartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees. Westin: Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; MorphoSys: Consultancy, Research Funding; AstraZeneca: Consultancy, Research Funding; ADC Therapeutics: Consultancy, Research Funding; Umoja: Consultancy; Iksuda Therapeutics: Consultancy; Curis: Research Funding; Morphosys: Research Funding; 47 Inc: Research Funding.

Dilated cardiomyopathy (DCM) has a population prevalence of ∼1 in 500 and is associated with prognostically adverse arrhythmias at initial disease presentation in up to one-third of patients [(1)][1]. While increasing age, male sex, and impaired ventricular function are established arrhythmic risk

Introduction: Pembrolizumab (pembro) has shown clinical activity in r/r DLBCL after failing tisagenlecleucel (tisa), an autologous anti-CD19 chimeric antigen receptor (CAR)-T therapy (Chong et al. Blood. 2017). Methods: PORTIA is a phase 1b, multicenter, open-label trial investigating the safety and efficacy of tisa plus pembro in adult patients (pts) with r/r DLBCL. Pts receive a single tisa IV infusion (target: 0.6-6.0×108 cells) on Day (D)1 and pembro at 200mg every 21 days, for up to 6 doses. Pembro was started on D15 post tisa in Cohort 1, with the option of moving to D8 (Cohort 2) or D22 based on safety profile and dose-limiting toxicities (DLTs). Primary endpoints: proportion of pts receiving pembro per schedule, incidence of DLTs (dose-timing selection phase), overall response rate (dose-expansion phase). Results: As of 5 March 2019, 5 patients were screened for Cohort 1; 4 pts were enrolled. Median age was 54 (range, 35-79). Median follow-up after tisa infusion was 46 days (range, 36-85). Pts received 1.7-3.0×108 CAR-positive T cells and 1, 2, 2, and 4 pembro doses, respectively, with no delays. All 4 pts experienced ≥1 adverse event (AE), with no exacerbation or recurrence of tisa-related AEs post pembro infusion. No pembro-related AEs, DLTs or grade 3/4 treatment-related AEs (TRAEs) were observed (Table 1). All pts experienced initial expansion between D6-15 post-tisa infusion; overall exposure is consistent with that observed in the JULIET trial. Two pts discontinued pembro treatment (after 1 and 2 doses, respectively) due to disease progression. With limited follow-up, 1 partial response has been observed. Table 1.TRAEs and Grade 3/4 AEs Observed in Day 15 Cohort Interim ReadAdverse EventPatients With Grade 3/4 AE, n (%)Patients With Grade 3/4 AE, n (%)Patients With Grade 3/4 TRAE, n (%)Anemia1 (25)a00Cytokine release syndrome01 (25)a0Pancreatitis1 (25)a00Tachycardia01 (25)a0AE, adverse event; TRAE, treatment-related adverse event.aAnemia developed on D14 after tisa infusion but preceding pembro initiation, and again on D36 while the pt was on pembro (during the time from first pembro administration to 30 days after the last pembro administration date). Pancreatitis developed on D28 in the same pt. Both are likely related to lymphoma progression.bOne pt developed grade 2 cytokine release syndrome according to the Lee scale (D7-11) and concomitant sinus tachycardia, both attributed to tisa and resolved prior to pembro infusion; no neurological events occurred. Conclusions: PD-1 blockade with pembro was feasible and showed a manageable safety profile in the first 4 pts. No DLTs or clinically significant exacerbation of AEs were observed. Efficacy and safety data for Cohorts 1 and 2 (D15 and D8) with longer follow-up will be presented at the congress. Clinical trial information: NCT03630159 Citation Format: Ulrich Jaeger, Nina Worel, Joseph P. McGuirk, Peter A. Riedell, Isabelle Fleury, Peter Borchmann, Simon Newsome, Ahmed M. Abdelhady, Alessandra Forcina, Lida Bubuteishvili Pacaud, Edmund K. Waller. The phase 1b PORTIA study: Safety and efficacy of tisagenlecleucel plus pembrolizumab in patients with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT162.

e22504 Background: Pediatric/YA pts with r/r B-NHL are rare and have heterogenous, aggressive histology and poor prognosis. We report early results for tisagenlecleucel (anti-CD19 CAR-T cell therapy) in pediatric/YA pts with r/r B-NHL. Methods: BIANCA (NCT03610724) is a phase 2, single-arm, global, open-label trial of tisagenlecleucel in pediatric/YA pts with CD19+ r/r B-NHL. Pts must have confirmed mature B-NHL r/r to ≥1 prior lines of therapy and no active CNS involvement. Primary endpoint is ORR. Secondary outcomes include DOR, EFS, safety and pharmacokinetics. Results: As of Nov 4, 2019, 8 pts were enrolled, of whom 4 had large B-cell lymphoma (LBCL), 3 Burkitt lymphoma (BL), and 1 gray zone lymphoma (GZL) (Table). Five pts had ≥2 lines of prior therapy. Suitable apheresis product was harvested in all 8 pts. Five pts were infused and 3 were pending infusion at data cut off. Product was successfully manufactured within specifications for all infused pts. Median time from enrollment to infusion was 33 days (range 30-67). All 5 pts have ≥28 days follow up; 2 pts have ≥3 months follow up (median [range] 85 days [69-97]). All 8 pts received bridging chemotherapy (including 1 pt who also had surgery and 1 who also had radiotherapy). Tisagenlecleucel dose range was 0.3-1.1 × 108 CAR+ viable T cells (weight-based: 0.9-1.7 × 106 CAR+ viable T cells/kg). Cmax (range: Cmax= 8520-14,200 copies/µg; time to Cmax= 2-21 days; n = 4) was within range of expansion observed in pediatric/YA acute lymphoblastic leukemia and adult diffuse LBCL. All 5 pts had CRS; no grade ≥3 CRS was recorded. Three pts had neurologic events, including 2 grade 3/4 events. One pt died due to disease progression. Conclusions: Pediatric/YA pts with r/r B-NHL (including BL) were successfully infused with tisagenlecleucel in the BIANCA trial with a manageable safety profile. Apheresis/manufacturing were feasible in this cohort of rapidly progressing disorders. Tisagenlecleucel was shown to expand in vivo. BIANCA provides the first systematic data on CAR-T cell therapy in highly aggressive, pediatric/YA B-NHL. Planned enrollment is 35 pts (26 infused and evaluable). Clinical trial information: NCT03610724. [Table: see text]

Background: Myocardial fibrosis, identified by late gadolinium enhancement cardiovascular magnetic resonance, predicts outcomes in chronic heart failure (HF). Its prognostic significance in new-onset HF and reduced left ventricular ejection fraction (LVEF) is unclear. We investigated whether the pattern and extent of fibrosis predict survival in new-onset HF and reduced LVEF of initially uncertain pathogenesis. Methods and Results: Of 120 consecutive patients with new-onset (P =0.004) or midwall fibrosis (HR, 2.99; 95% CI, 1.24–7.19; P =0.014) were more likely to die compared with those without fibrosis. On multivariable analysis, the pattern and extent of fibrosis were both associated with all-cause mortality (by fibrosis pattern: infarct: HR, 2.60; 95% CI, 1.08–6.27; P =0.033; midwall: HR, 2.64; 95% CI, 1.08–6.47; P =0.034; by fibrosis extent per 1%: HR, 1.07; 95% CI, 1.03–1.12; P P =0.022; midwall: HR, 6.59; 95% CI, 2.26–19.22; P P =0.011; midwall fibrosis: HR, 2.97; 95% CI, 1.37–6.45; P =0.006). Addition of fibrosis pattern to LVEF improved risk prediction for all-cause mortality (LVEF versus LVEF+fibrosis C statistic: 0.66 versus 0.71; P =0.033). Importantly, the absence of fibrosis heralded a favorable prognosis with an 85% survival rate over the duration of follow-up. Conclusions: The pattern and extent of myocardial fibrosis predict adverse outcomes in new-onset HF and reduced LVEF. In contrast, the absence of fibrosis portends a durable warranty period with a low incidence of adverse events. These findings support a role for late gadolinium enhancement cardiovascular magnetic resonance in the early risk stratification of patients with HF of uncertain pathogenesis.

Introduction Heart failure develops in 3%–5% of patients with hypertrophic cardiomyopathy (HCM) and is associated with a ten-fold increase in mortality. Myocardial perfusion abnormalities using positron emission tomography (PET) predict patients at increased risk of heart failure and death, however the mechanism of these perfusion defects has not been demonstrated, nor has the added prognostic value of perfusion imaging over late gadolinium imaging been established. Methods We measured simultaneous pressure and flow in the proximal left anterior descending artery in 33 HCM and 20 control patients at rest and during hyperemia, allowing calculation of wave intensity (WIA). Patients underwent quantitative first-pass perfusion cardiovascular magnetic resonance (CMR). We prospectively recruited a further 328 HCM patients for CMR, including adenosine first pass perfusion, LV and LA volumes and late gadolinium enhancement (LGE). We followed patients for development of heart failure, with a composite endpoint of heart failure death, cardiac transplantation and unplanned heart failure hospitalisation. Results Patients with HCM had a lower coronary flow reserve than controls (1.9±0.8 versus 2.7±0.9, p=0.001). Coronary hemodynamics in HCM were characterised by a very large backward compression wave during systole (38%±11% versus 21±6%, p The proportion of waves acting to accelerate coronary flow increased with hyperemia and the magnitude of change was proportional to the myocardial perfusion reserve. (r=0.62, p During a median follow up of 3.2 years, 32 patients met the heart failure endpoint. Baseline left atrial volume indexed to body surface area, LAVi, (HR 1.38 (1.2–1.6), p Discussion Coronary flow in patients with HCM is deranged. Distally, compressive deformation of intra-myocardial blood vessels during systole result in an abnormally large backward compression wave, while proximally, severe LVOT obstruction is associated with an additional deceleration wave. Perfusion abnormalities in HCM are not simply a consequence of supply/demand mismatch or remodelling of the intra-myocardial blood vessels but represent a dynamic interaction with myocardial mechanics which may be amenable to treatment. In our prognostic study, we identified that while replacement fibrosis was a likely mechanism of progression to heart failure, LAVi as a more global measure of ventricular dysfunction was the strongest prognostic marker in HCM. Although perfusion using PET predicted development of heart failure in HCM, perfusion imaging with CMR did not predict outcome. Perfusion defects in HCM are complex and multifactorial, however do not correlate directly with outcome in large, prospective studies and should not be included in risk stratification scores.

Background: Atrial fibrillation (AF) is associated with increased morbidity in acute coronary syndrome patients, but impact on outcomes beyond 1 year is unclear. Methods: This was a post-hoc analysis from the long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients (EPICOR) registry (NCT01171404), a prospective, observational study conducted in Europe and Latin America, which enrolled acute coronary syndrome survivors at discharge. Antithrombotic management patterns, mortality, a composite endpoint of death/new non-fatal myocardial infarction/stroke and bleeding events were assessed after 2 years of follow-up in patients with or without AF. Results: Of 10,568 patients enrolled, 397 (4.7%) had prior AF and 382 (3.6%) new-onset AF during index hospitalisation. Fewer patients with AF underwent percutaneous coronary intervention (52.1% vs. 66.6%; PConclusions: Acute coronary syndrome patients with AF represent a high-risk group with increased event rates during long-term follow-up. Prior AF is an independent predictor of mortality and/or ischaemic events at 2 years. Use of anticoagulants in AF after acute coronary syndrome is still suboptimal.

Background\ud \ud Dornase alfa (DNase) is one of the commonest cystic fibrosis (CF) treatments and is often used for many years. However, studies have not evaluated the effectiveness of its long-term use. We aimed to use UK CF Registry data to investigate the effects of one-, two-, three-, four- and five-years of DNase use on lung function to see if the benefits of short-term treatment use are sustained long term.\ud \ud \ud Methods\ud \ud We analysed data from 4,198 people in the UK CF Registry from 2007 to 2015 using g-estimation. By controlling for time-dependent confounding we estimated the effects of long-term DNase use on percent predicted FEV1 (ppFEV1) and investigated whether the effect differed by ppFEV1 at treatment initiation or by age.\ud \ud \ud Results\ud \ud Considering the population as a whole, there was no significant effect of one-year's use of DNase; change in ppFEV1 over one year was −0.1% in the treated compared to the untreated (p = 0.51) and this did not change with long-term use. However, treatment was estimated to be more beneficial in people with lower lung function (p 70%.

Background: Long-term risk of post-discharge mortality associated with acute coronary syndrome remains a concern. The development of a model to reliably estimate two-year mortality risk from hospital discharge post-acute coronary syndrome will help guide treatment strategies. Methods: EPICOR (long-tErm follow uP of antithrombotic management patterns In acute CORonary syndrome patients, NCT01171404) and EPICOR Asia (EPICOR Asia, NCT01361386) are prospective observational studies of 23,489 patients hospitalized for an acute coronary syndrome event, who survived to discharge and were then followed up for two years. Patients were enrolled from 28 countries across Europe, Latin America and Asia. Risk scoring for two-year all-cause mortality risk was developed using identified predictive variables and forward stepwise Cox regression. Goodness-of-fit and discriminatory power was estimated. Results: Within two years of discharge 5.5% of patients died. We identified 17 independent mortality predictors: age, low ejection fraction, no coronary revascularization/thrombolysis, elevated serum creatinine, poor EQ-5D score, low haemoglobin, previous cardiac or chronic obstructive pulmonary disease, elevated blood glucose, on diuretics or an aldosterone inhibitor at discharge, male sex, low educational level, in-hospital cardiac complications, low body mass index, ST-segment elevation myocardial infarction diagnosis, and Killip class. Geographic variation in mortality risk was seen following adjustment for other predictive variables. The developed risk-scoring system provided excellent discrimination ( c-statistic=0.80, 95% confidence interval=0.79–0.82) with a steep gradient in two-year mortality risk: >25% (top decile) vs. ~1% (bottom quintile). A simplified risk model with 11 predictors gave only slightly weaker discrimination ( c-statistic=0.79, 95% confidence interval =0.78–0.81). Conclusions: This risk score for two-year post-discharge mortality in acute coronary syndrome patients ( www.acsrisk.org ) can facilitate identification of high-risk patients and help guide tailored secondary prevention measures.

BackgroundAortic stenosis is the most common age-related valvular pathology. Patients with aortic stenosis and myocardial fibrosis have worse outcome but the underlying mechanism is unclear. Lipoprotein(a) is associated with adverse cardiovascular risk and is elevated in patients with aortic stenosis. Although mechanistic pathways could link Lipoprotein(a) with myocardial fibrosis, whether the two are related has not been previously explored. In this study, we investigated whether elevated Lipoprotein(a) was associated with the presence of myocardial replacement fibrosis.MethodsA total of 110 patients with mild, moderate and severe aortic stenosis were assessed by late gadolinium enhancement (LGE) cardiovascular magnetic resonance to identify fibrosis. Mann Whitney U tests were used to assess for evidence of an association between Lp(a) and the presence or absence of myocardial fibrosis and aortic stenosis severity and compared to controls. Univariable and multivariable linear regression analysis were undertaken to identify possible predictors of Lp(a).ResultsThirty-six patients (32.7%) had no LGE enhancement, 38 (34.6%) had midwall enhancement suggestive of midwall fibrosis and 36 (32.7%) patients had subendocardial myocardial fibrosis, typical of infarction. The aortic stenosis patients had higher Lp(a) values than controls, however, there was no significant difference between the Lp(a) level in mild, moderate or severe aortic stenosis. No association was observed between midwall or infarction pattern fibrosis and Lipoprotein(a), in the mild/moderate stenosis (p = 0.91) or severe stenosis patients (p = 0.42).ConclusionThere is no evidence to suggest that higher Lipoprotein(a) leads to increased myocardial midwall or infarction pattern fibrosis in patients with aortic stenosis.

Background Hypertrophic cardiomyopathy (HCM) is characterised by increased left ventricular wall thickness leading to exercise intolerance and heart failure. Peak oxygen consumption (peak VO2) on cardiopulmonary exercise testing (CPET) is often used as a functional marker alongside B-type natriuretic peptide (BNP). However, CPET is complex and time-consuming, access may be limited, and peak VO2 can be influenced by physical deconditioning and motivation. Our aims were to determine the association between BNP and submaximal exercise parameters, ventilatory efficiency (VE/VCO2) and anaerobic threshold; and to determine whether f these were effective surrogate markers of functional status in patients with HCM.Methods We retrospectively reviewed data for all patients with HCM in our local cardiomyopathy service. A diagnosis of HCM was based on LV hypertrophy >15 mm as per current ESC guidelines. Patients underwent contemporaneous echocardiography, CPET using maximal treadmill ergometry and BNP measurement at sequential annual clinic visits [1 (18%), 2 (52%), 3 (20%) or ≥4 visits (10%)] yielding data from 252 observations over 8 years for 119 individual patients. Univariable and multivariable linear regression was used to investigate variables associated with the results of CPET. Robust standard errors were used to correct for multiple observations from the same patients.Results In our cohort of 119 patients (mean age 49±17 years, 66% men), mean LVEF was 75±7%, maximal wall thickness was 19±5 mm, and left ventricular outflow tract obstruction was present in 15%. The mean peak V02 was 26±8 L/min, mean VE/VCO2 slope was 30±6 and median BNP was 93.5 ng/L (IQR 43.5–232.5). On univariable analysis, several markers were found to predict peak VO2; age (β²=−4.5; 95% CI −6.1 – −3.0; p

Defining sex differences in dilated cardiomyopathy (DCM) is important in improving disease understanding and management. We used proportional hazard modelling to examine the association between sex and outcome in consecutive patients referred with DCM. Overall, 881 patients (290 women, median left

Data on the association between the extent of mid-wall late gadolinium enhancement (LGE) and heart failure (HF) outcomes is lacking. We used proportional hazard modelling to examine the association between mid-wall LGE extent and a HF composite end-point (HF death, unplanned HF hospitalisation and

Background The clinical course of dilated cardiomyopathy (DCM) is variable: while 20% of patients die within 5 years of diagnosis, up to 15% recover fully. DNA variants that truncate the sarcomeric protein titin (TTNtv) are found in up to 20% of DCM. We sought to characterise the phenotype of TTNtv DCM and evaluate the effect of TTNtv on left ventricular remodelling in DCM. Methods 661 prospectively recruited DCM patients underwent targeted sequencing of TTN and cardiac MRI (CMR) scanning to evaluate left and right ventricular volumes, function, wall thickness and mass (Siemens scanners, 1.5T). TTNtv in constitutive exons were confirmed by Sanger sequencing or visual inspection of reads on IGV. Quantitative phenotypes were compared using t-tests or Mann-Whitney U tests as appropriate. A subgroup of 122 patients underwent follow up CMR scanning. Linear regression analysis was used to determine the effects of TTNtv on interval change in left ventricular ejection fraction (LVEF), left ventricular volumes and mass. Results Targeted sequencing of 661 patients with DCM (mean age 57.3 years, 68% male) identified 62 patients (9.4%) with confirmed truncating variants in TTN (A band, n = 48; I band, n = 11; M band, n = 3). There was no difference in age at diagnosis between patients with and without TTNtv (54.1 yrs vs 57.7 yrs, p = 0.05). Patients with TTNtv had lower maximum and mean left ventricular wall thickness and lower indexed left ventricular stroke volume and mass (Table 1). There was no difference in baseline left or right ventricular ejection fraction between patients with and without TTNtv. 122 DCM patients (mean age 54.3 years, 66% male) underwent an additional CMR with a median follow-up interval of 2.6 years (IQR 1.4–4.6 years). Amongst these, 21 patients (16.9%) had TTNtv in constitutive exons (A band, n = 17; I band, n = 3; M band, n = 1). 67% of patients with TTNtv (14/21) showed an improvement in LVEF >5% compared to 50% of patients without TTNtv (51/101). The mean interval improvement in LVEF between baseline and follow up studies was 6.2% in patients with TTNtv compared to 4.6% in those without (p = 0.55). In regression analysis, the presence of a truncating variant in TTN was not predictive of the interval change in LVEF, indexed left ventricular end diastolic volume, end systolic volume, stroke volume and mass (Table 2). Conclusion These data show that TTNtv DCM is phenotypically characterised by thinner left ventricular walls, lower left ventricular mass and indexed stroke volume in the absence of overt differences in ejection fraction or age at diagnosis. Notably, these data show that there is no evidence that DCM patients with TTNtv have a different pattern of left ventricular remodelling compared to patients without TTNtv. This implies that the presence of a titin truncating mutation in a patient with DCM does not preclude the possibility of functional recovery.

Introduction The European System for Cardiac Operative Risk Evaluation II (EuroSCORE) and Society of Thoracic Surgeons (STS) risk models provide a method of predicating mortality of patients undergoing cardiac surgery. However, their validity in transcatheter aortic valve implantation (TAVI) remains controversial with some studies supporting its use as a good predictor of mortality whilst others find no association. We sought to investigate the validity of both EuroSCORE II and STS score as predictors of mortality in a real-life cohort of patients undergoing a TAVI. Methods Between 2010–2014, 115 (79 ± 8 years old; 56 male) consecutive patients with severe AS scheduled for TAVI had EuroSCORE and STS score calculated prior to intervention. The patients were followed up for a median 187 days (IQR 93,1520). Results During follow up, 27 patients died. Neither EuroSCORE nor STS were associated with prognosis in this cohort. EuroSCORE was not significantly associated with mortality, hazard ratio 1.33 per log unit (p = 0.28, 95% CI 0.90–2.20). This was similar to STS score, hazard ratio 1.08 per log unit (p = 0.78 95% CI 0.63 – 1.87). However, both confidence intervals are relatively wide indicating that more patients are required to substantiate this finding. Conclusions In this small cohort of patients, it would appear that neither EuroSCORE II nor STS are associated with overall survival. This cohort included many patients with poor mobility, previous CABG with LIMA graft and significant comorbidities not included in EuroSCORE/STS calculation. The scores might therefore have underestimated the true risk. More studies and more patients are required to further assess their validity. Although such scores have been accurately validated for open-heart surgery, we recommend that they should be interpreted with caution when attempting to predict risk in patients undergoing a TAVI.

Background Up to fifty percent of idiopathic dilated cardiomyopathy (DCM) has a familial basis. Variants can occur in over 40 genes, though truncating variants in the sarcomeric gene titin account for the largest proportion (~20%). At least half of familial DCM cases are genetically orphan. We sought to study whether familial DCM was associated with distinct clinical characteristics, independently of the underlying genetic variant. Methods 595 prospectively recruited DCM patients underwent detailed phenotyping with cardiac MRI (Siemens scanners, 1.5T) and were sequenced using a customised panel of ~100 cardiomyopathy genes on Illumina and 5500xl platforms. Variants were identified and annotated using a customised bioinformatics pipeline. Clinical information including family pedigree data, ECG, and arrhythmia status at diagnosis (presence of confirmed ventricular or atrial arrhythmias) was collected on all patients. Familial DCM was defined as DCM occurring in 2 or more 1st or 2nd degree family members. Chi squared or Fisher’s exact test was used to compare across categorical variables and t-tests or Mann-Whitney U tests across continuous variables as appropriate. Results Overall, 16% of patients (95 out of 595) had familial DCM. Thirty individuals came from 13 families, the remaining were unrelated probands. Patients with familial DCM had an earlier age of disease onset (49.8 years vs 58.8 years, p Patients with familial DCM had less conduction disease at baseline (11% vs 36%, p Patients with familial DCM had a milder intermediate phenotype of DCM (left ventricular ejection fraction 45.2% vs 38.2%, p There were 44 potentially disease-causing variants in DCM genes in the familial DCM cohort (Table 1). Genetic testing had a yield of 44% in familial (n = 42), and 22% in non-familial DCM (n = 117). Five patients carried 2 variants. Truncating variants in titin were the most common variant (n = 17) and were over twice as common in patients with familial DCM compared to those without (18% vs 6.8%, p Conclusions Disease causing variants in TTN and LMNA were more commonly associated with familial DCM, but 56% of patients with familial DCM remain genetically unexplained. This highlights the need for further novel DCM disease gene discovery. Our data show that familial DCM is characterised by a younger age of disease onset and less severe ventricular dysfunction as compared to non-familial DCM.

Background Titin truncating variants (TTNtv), found in~10%–20% of dilated cardiomyopathy (DCM), are notable for variable penetrance and expressivity. We evaluated whether TTNtv DCM patients had distinct phenotypic features, which may influence disease outcomes. Methods Prospectively recruited DCM patients underwent comprehensive clinical evaluation, cardiac MRI and TTN sequencing. Results Overall, 572 subjects, 388 men (67.8%), mean age 53.5±14.4 years, were recruited. TTNtv were found in 56 patients (9.8%) and were associated with lower indexed LV mass (LVMi) and thinner LV walls, in the absence of differences in LV volumes after adjusting for clinical covariates (LVMi 83.1 vs. 94.0g/m 2 , p=0.008; max. LV wall thickness 9.1 vs. 10.1 mm, p=0.003; indexed LV end diastolic volume 122.7 vs. 131.3mls/m 2 , p=0.07). 196/572 patients (34%) had atrial fibrillation or ventricular arrhythmia at recruitment. Adjusting for age, gender, baseline ventricular function, and left atrial volume, TTNtv independently associated with early arrhythmic burden (adjusted OR 2.90, CI 1.48 to 5.77, p=0.002). On sensitivity analysis, this association remained significant after exclusion of 12 patients with rare LMNA variants (adjusted OR 2.88, CI 1.45 to 5.81, p=0.003). TTNtv alone did not predict LVEF but in the presence of a history of alcohol excess, LVEF was reduced by 17.5% (p Conclusions These data demonstrate that DCM due to TTNtv is associated with a blunted hypertrophic response, highlighting possible disease mechanisms. We also demonstrate that TTNtv are independently predictive of early arrhythmia and show a significant gene-environmental interaction between TTNtv and alcohol, which may inform risk stratification.

Background Dilated cardiomyopathy (DCM) has a 20% 5 year mortality. Cardiac MR (CMR) is an established outcome predictor. We evaluate the additive role of novel genetic and circulating biomarkers.Purpose Perform an integrated assessment to evaluate the prognostic importance of CMR parameters in DCM in the context of clinical, genetic and biomarker data.Methods Prospectively recruited DCM patients underwent comprehensive clinical evaluation, CMR with late-gadolinium enhancement (LGE), sequencing for rare variants in major DCM genes (titin-TTNtv, myosin heavy chain-MYH7, troponin T2-TNNT2, lamin-LMNA), biomarker assessment of BNP, troponin I (hsTnI), Galectin 3 and ST2, and follow up for clinical events. Cox proportional hazard modelling evaluated the primary composite endpoint of cardiovascular death, major arrhythmic events (aborted sudden cardiac death, appropriate ICD activation, sustained ventricular tachycardia, ventricular fibrillation) and major heart failure events (heart transplant, left ventricular assist device, unplanned heart failure hospitalisation).Results In total, 423 patients with DCM (mean age 53.6±14.1 years, 67% male) were followed up for a median of 4.0 years (IQR 2.1–5.8). Mean left ventricular ejection fraction (LVEF) was 40%±12.5%. One third of patients had mid-wall fibrosis (MWF-LGE) (n=137, 32%). Mean indexed left atrial volume (LAVi) was 61±27.6 mls.On genetic analysis, 53 patients (12.5%) had TTNtv, 14 patients (3.3%) had non-truncating variants in MYH7, 5 patients (1.2%) had non-truncating variants in TNNT2 and 5 patients (1.2%) had LMNA variants.In total, 44 patients (10.4%) met the primary endpoint. On multivariable analysis, an optimal model predicting the primary endpoint was built without genetic or biomarker data (Table 1). This consisted of LVEF, LAVi, and MWF-LGE (Table 2).On univariable analysis, BNP, Galectin 3 and hsTnI were associated with the primary endpoint (Table 2). When the novel variables were added to the optimised model, Galectin 3 and LMNA variants were predictive of the primary endpoint (Table 3). In the final adjusted model, CMR parameters remained predictive of the primary endpoint. Of these, MWF-LGE was the strongest predictor (adjusted HR 2.12 (1.06–4.02), p=0.02).View this table:Abstract 005 Table 1 Variables evaluated in building baseline Cox proportional hazard model predicting primary endpointView this table:Abstract 005 Table 2 Results of baseline Cox proportional hazard modelling predicting primary endpointView this table:Abstract 005 Table 3 Results of evaluation of biomarkers and genetic variants using Cox proportional hazard modelling predicting primary endpointView this table:Abstract 005 Table 4 Results of final adjusted Cox proportional hazard model predicting primary endpointConclusion On integrated multi-modality risk stratification in DCM, while circulating and genetic biomarkers improve risk stratification, CMR parameters remain strong independent predictors of outcome.Acknowledgements UT is supported by a Medical Research Council (UK) Clinical Research Training Fellowship. The study has also been supported by the Rosetrees Foundation, the Alexander Jansons Foundation, the Wellcome Trust and the NIHR Cardiovascular Biomedical Research Unit of Royal Brompton and Harefield NHS Foundation Trust and Imperial College London.%U http://heart.bmj.com/content/heartjnl/103/Suppl_1/A4.2.full.pdf

Background Truncating variants in titin (TTNtv) are the commonest genetic cause of dilated cardiomyopathy (DCM). They are notable for variable penetrance and expressivity, suggestive of environmental or genetic modifiers. Purpose Undertake deep phenotyping by cardiac MRI (CMR) to evaluate alcohol and hypertension as phenotypic modifiers of TTNtv cardiomyopathy. Methods Prospectively recruited DCM patients underwent comprehensive clinical evaluation, CMR with late-gadolinium enhancement and TTN sequencing. Results Overall, 733 subjects, mean age 53.4±14.4 years, 476 men (65.0%) were recruited. TTNtv were found in 82 (11.2%) patients. Patients with a history of alcohol excess (n=114, 15.6%) were more likely to be male (n=107 (93.9%) vs n=369 (59.6%), p Patients with TTNtv and a history of alcohol excess (n=13) had a lower mean LVEF compared to patients with TTNtv without a history of alcohol excess (n=69) (27.7%±12.7 vs 39.5%±13.1, p=0.005) (Figure 1). There was no difference in LVEF between TTNtv patients with a history of hypertension (n=10) and TTNv patients without (n=72) (37.7% vs 37.6%, p=0.94). While TTNtv, a history of alcohol excess or hypertension in isolation did not predict LVEF, the combination of TTNtv and a history of alcohol excess was associated with a 15.4% reduction in LVEF (95% CI −21.9 to −8.8%) compared to a patient without either risk factor (p Conclusions These data demonstrate the potential of using CMR to study cardiovascular endophenotypes of genetic DCM. We identify a novel gene-environmental interaction between TTNtv and alcohol that prompts genetic studies in DCM in the context of high alcohol intake.

Introduction Heart failure (HF) in hypertrophic cardiomyopathy (HCM) is associated with high morbidity and mortality. Predictors of HF, in particular the role of myocardial fibrosis and microvascular ischemia remain unclear. We assessed the predictive value of cardiovascular magnetic resonance (CMR) for development of HF in HCM in an observational cohort study. Methods Serial patients with HCM underwent CMR, including adenosine first-pass perfusion, left atrial (LA) and left ventricular (LV) volumes indexed to body surface area (i) and late gadolinium enhancement (%LGE- as a % of total myocardial mass). We used a composite endpoint of HF death, cardiac transplantation, and progression to NYHA class III/IV. Results A total of 543 patients with HCM underwent CMR, of whom 94 met the composite endpoint at baseline. The remaining 449 patients were followed for a median of 5.6 years. Thirty nine patients (8.7%) reached the composite endpoint of HF death (n = 7), cardiac transplantation (n = 2) and progression to NYHA class III/IV (n = 20). The annual incidence of HF was 2.0 per 100 person-years, 95% CI (1.6–2.6). Age, previous non-sustained ventricular tachycardia, LV end-systolic volume indexed to body surface area (LVESVI), LA volume index ; LV ejection fraction, %LGE and presence of mitral regurgitation were significant univariable predictors of HF, with LVESVI (Hazard ratio (HR) 1.44, 95% confidence interval (95% CI) 1.16–1.78, p = 0.001), %LGE per 10% (HR 1.44, 95%CI 1.14–1.82, p = 0.002) age (HR 1.37, 95% CI 1.06–1.77, p = 0.02) and mitral regurgitation (HR 2.6, p = 0.02) remaining independently predictive on multivariable analysis. The presence or extent of inducible perfusion defect assessed using a visual score did not predict outcome (p = 0.16, p = 0.27 respectively). Discussion The annual incidence of HF in a contemporary ambulatory HCM population undergoing CMR is low. Myocardial fibrosis and LVESVI are strongly predictive of future HF, however CMR visual assessment of myocardial perfusion was not.