Sex- and age-related differences in the management and outcomes of chronic heart failure: an analysis of patients from the ESC HFA EORP Heart Failure Long-Term Registry

Aims: This study aimed to assess age- and sex-related differences in management and 1-year risk for all-cause mortality and hospitalization in chronic heart failure (HF) patients. Methods and results: Of 16 354 patients included in the European Society of Cardiology Heart Failure Long-Term Registry, 9428 chronic HF patients were analysed [median age: 66 years; 28.5% women; mean left ventricular ejection fraction (LVEF) 37%]. Rates of use of guideline-directed medical therapy (GDMT) were high (angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, beta-blockers and mineralocorticoid receptor antagonists: 85.7%, 88.7% and 58.8%, respectively). Crude GDMT utilization rates were lower in women than in men (all differences: P\ua0 64 0.001), and GDMT use became lower with ageing in both sexes, at baseline and at 1-year follow-up. Sex was not an independent predictor of GDMT prescription; however, age >75 years was a significant predictor of GDMT underutilization. Rates of all-cause mortality were lower in women than in men (7.1% vs. 8.7%; P\ua0=\ua00.015), as were rates of all-cause hospitalization (21.9% vs. 27.3%; P\ua075 years. Conclusions: There was a decline in GDMT use with advanced age in both sexes. Sex was not an independent predictor of GDMT or adverse outcomes. However, age >75 years independently predicted lower GDMT use and higher all-cause mortality in patients with LVEF 6445%

Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

Background Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8–13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05–6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50–75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life. Funding Pfizer, Amgen, Merck Sharp & Dohme, Sanofi–Aventis, Daiichi Sankyo, and Regeneron

Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

Background: Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods: For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings: Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation: Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life

Performance of Prognostic Risk Scores in Chronic Heart Failure Patients Enrolled in the European Society of Cardiology Heart Failure Long-Term Registry

Objectives: This study compared the performance of major heart failure (HF) risk models in predicting mortality and examined their utilization using data from a contemporary multinational registry. Background: Several prognostic risk scores have been developed for ambulatory HF patients, but their precision is still inadequate and their use limited. Methods: This registry enrolled patients with HF seen in participating European centers between May 2011 and April 2013. The following scores designed to estimate 1- to 2-year all-cause mortality were calculated in each participant: CHARM (Candesartan in Heart Failure-Assessment of Reduction in Mortality), GISSI-HF (Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico-Heart Failure), MAGGIC (Meta-analysis Global Group in Chronic Heart Failure), and SHFM (Seattle Heart Failure Model). Patients with hospitalized HF (n = 6,920) and ambulatory HF patients missing any variable needed to estimate each score (n = 3,267) were excluded, leaving a final sample of 6,161 patients. Results: At 1-year follow-up, 5,653 of 6,161 patients (91.8%) were alive. The observed-to-predicted survival ratios (CHARM: 1.10, GISSI-HF: 1.08, MAGGIC: 1.03, and SHFM: 0.98) suggested some overestimation of mortality by all scores except the SHFM. Overprediction occurred steadily across levels of risk using both the CHARM and the GISSI-HF, whereas the SHFM underpredicted mortality in all risk groups except the highest. The MAGGIC showed the best overall accuracy (area under the curve [AUC] = 0.743), similar to the GISSI-HF (AUC = 0.739; p = 0.419) but better than the CHARM (AUC = 0.729; p = 0.068) and particularly better than the SHFM (AUC = 0.714; p = 0.018). Less than 1% of patients received a prognostic estimate from their enrolling physician. Conclusions: Performance of prognostic risk scores is still limited and physicians are reluctant to use them in daily practice. The need for contemporary, more precise prognostic tools should be considered

Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)

Background: The European Atherosclerosis Society Familial Hypercholesterolaemia Studies Collaboration (FHSC) global registry provides a platform for the global surveillance of familial hypercholesterolaemia through harmonisation and pooling of multinational data. In this study, we aimed to characterise the adult population with heterozygous familial hypercholesterolaemia and described how it is detected and managed globally. Methods: Using FHSC global registry data, we did a cross-sectional assessment of adults (aged 18 years or older) with a clinical or genetic diagnosis of probable or definite heterozygous familial hypercholesterolaemia at the time they were entered into the registries. Data were assessed overall and by WHO regions, sex, and index versus non-index cases. Findings: Of the 61 612 individuals in the registry, 42 167 adults (21 999 [53·6%] women) from 56 countries were included in the study. Of these, 31 798 (75·4%) were diagnosed with the Dutch Lipid Clinic Network criteria, and 35 490 (84·2%) were from the WHO region of Europe. Median age of participants at entry in the registry was 46·2 years (IQR 34·3–58·0); median age at diagnosis of familial hypercholesterolaemia was 44·4 years (32·5–56·5), with 40·2% of participants younger than 40 years when diagnosed. Prevalence of cardiovascular risk factors increased progressively with age and varied by WHO region. Prevalence of coronary disease was 17·4% (2·1% for stroke and 5·2% for peripheral artery disease), increasing with concentrations of untreated LDL cholesterol, and was about two times lower in women than in men. Among patients receiving lipid-lowering medications, 16 803 (81·1%) were receiving statins and 3691 (21·2%) were on combination therapy, with greater use of more potent lipid-lowering medication in men than in women. Median LDL cholesterol was 5·43 mmol/L (IQR 4·32–6·72) among patients not taking lipid-lowering medications and 4·23 mmol/L (3·20–5·66) among those taking them. Among patients taking lipid-lowering medications, 2·7% had LDL cholesterol lower than 1·8 mmol/L; the use of combination therapy, particularly with three drugs and with proprotein convertase subtilisin–kexin type 9 inhibitors, was associated with a higher proportion and greater odds of having LDL cholesterol lower than 1·8 mmol/L. Compared with index cases, patients who were non-index cases were younger, with lower LDL cholesterol and lower prevalence of cardiovascular risk factors and cardiovascular diseases (all p<0·001). Interpretation: Familial hypercholesterolaemia is diagnosed late. Guideline-recommended LDL cholesterol concentrations are infrequently achieved with single-drug therapy. Cardiovascular risk factors and presence of coronary disease were lower among non-index cases, who were diagnosed earlier. Earlier detection and greater use of combination therapies are required to reduce the global burden of familial hypercholesterolaemia. Funding: Pfizer, Amgen, Merck Sharp & Dohme, Sanofi–Aventis, Daiichi Sankyo, and Regeneron

Acute heart failure congestion and perfusion status – impact of the clinical classification on in-hospital and long-term outcomes; insights from the ESC-EORP-HFA Heart Failure Long-Term Registry

none614siAims: Classification of acute heart failure (AHF) patients into four clinical profiles defined by evidence of congestion and perfusion is advocated by the 2016 European Society of Cardiology (ESC)guidelines. Based on the ESC-EORP-HFA Heart Failure Long-Term Registry, we compared differences in baseline characteristics, in-hospital management and outcomes among congestion/perfusion profiles using this classification. Methods and results: We included 7865 AHF patients classified at admission as: ‘dry-warm’ (9.9%), ‘wet-warm’ (69.9%), ‘wet-cold’ (19.8%) and ‘dry-cold’ (0.4%). These groups differed significantly in terms of baseline characteristics, in-hospital management and outcomes. In-hospital mortality was 2.0% in ‘dry-warm’, 3.8% in ‘wet-warm’, 9.1% in ‘dry-cold’ and 12.1% in ‘wet-cold’ patients. Based on clinical classification at admission, the adjusted hazard ratios (95% confidence interval) for 1-year mortality were: ‘wet-warm’ vs. ‘dry-warm’ 1.78 (1.43–2.21) and ‘wet-cold’ vs. ‘wet-warm’ 1.33 (1.19–1.48). For profiles resulting from discharge classification, the adjusted hazard ratios (95% confidence interval) for 1-year mortality were: ‘wet-warm’ vs. ‘dry-warm’ 1.46 (1.31–1.63) and ‘wet-cold’ vs. ‘wet-warm’ 2.20 (1.89–2.56). Among patients discharged alive, 30.9% had residual congestion, and these patients had higher 1-year mortality compared to patients discharged without congestion (28.0 vs. 18.5%). Tricuspid regurgitation, diabetes, anaemia and high New York Heart Association class were independently associated with higher risk of congestion at discharge, while beta-blockers at admission, de novo heart failure, or any cardiovascular procedure during hospitalization were associated with lower risk of residual congestion. Conclusion: Classification based on congestion/perfusion status provides clinically relevant information at hospital admission and discharge. A better understanding of the clinical course of the two entities could play an important role towards the implementation of targeted strategies that may improve outcomes.noneChioncel O.; Mebazaa A.; Maggioni A.P.; Harjola V.-P.; Rosano G.; Laroche C.; Piepoli M.F.; Crespo-Leiro M.G.; Lainscak M.; Ponikowski P.; Filippatos G.; Ruschitzka F.; Seferovic P.; Coats A.J.S.; Lund L.H.; Auer J.; Ablasser K.; Fruhwald F.; Dolze T.; Brandner K.; Gstrein S.; Poelzl G.; Moertl D.; Reiter S.; Podczeck-Schweighofer A.; Muslibegovic A.; Vasilj M.; Fazlibegovic E.; Cesko M.; Zelenika D.; Palic B.; Pravdic D.; Cuk D.; Vitlianova K.; Katova T.; Velikov T.; Kurteva T.; Gatzov P.; Kamenova D.; Antova M.; Sirakova V.; Krejci J.; Mikolaskova M.; Spinar J.; Krupicka J.; Malek F.; Hegarova M.; Lazarova M.; Monhart Z.; Hassanein M.; Sobhy M.; El Messiry F.; El Shazly A.H.; Elrakshy Y.; Youssef A.; Moneim A.A.; Noamany M.; Reda A.; Dayem T.K.A.; Farag N.; Halawa S.I.; Hamid M.A.; Said K.; Saleh A.; Ebeid H.; Hanna R.; Aziz R.; Louis O.; Enen M.A.; Ibrahim B.S.; Nasr G.; Elbahry A.; Sobhy H.; Ashmawy M.; Gouda M.; Aboleineen W.; Bernard Y.; Luporsi P.; Meneveau N.; Pillot M.; Morel M.; Seronde M.-F.; Schiele F.; Briand F.; Delahaye F.; Damy T.; Eicher J.-C.; de Groote P.; Fertin M.; Lamblin N.; Isnard R.; Lefol C.; Thevenin S.; Hagege A.; Jondeau G.; Logeart D.; Le Marcis V.; Ly J.-F.; Coisne D.; Lequeux B.; Le Moal V.; Mascle S.; Lotton P.; Behar N.; Donal E.; Thebault C.; Ridard C.; Reynaud A.; Basquin A.; Bauer F.; Codjia R.; Galinier M.; Tourikis P.; Stavroula M.; Tousoulis D.; Stefanadis C.; Chrysohoou C.; Kotrogiannis I.; Matzaraki V.; Dimitroula T.; Karavidas A.; Tsitsinakis G.; Kapelios C.; Nanas J.; Kampouri H.; Nana E.; Kaldara E.; Eugenidou A.; Vardas P.; Saloustros I.; Patrianakos A.; Tsaknakis T.; Evangelou S.; Nikoloulis N.; Tziourganou H.; Tsaroucha A.; Papadopoulou A.; Douras A.; Polgar L.; Merkely B.; Kosztin A.; Nyolczas N.; Nagy A.C.; Halmosi R.; Elber J.; Alony I.; Shotan A.; Fuhrmann A.V.; Amir O.; Romano S.; Marcon S.; Penco M.; Di Mauro M.; Lemme E.; Carubelli V.; Rovetta R.; Metra M.; Bulgari M.; Quinzani F.; Lombardi C.; Bosi S.; Schiavina G.; Squeri A.; Barbieri A.; Di Tano G.; Pirelli S.; Ferrari R.; Fucili A.; Passero T.; Musio S.; Di Biase M.; Correale M.; Salvemini G.; Brognoli S.; Zanelli E.; Giordano A.; Agostoni P.; Italiano G.; Salvioni E.; Copelli S.; Modena M.G.; Reggianini L.; Valenti C.; Olaru A.; Bandino S.; Deidda M.; Mercuro G.; Dessalvi C.C.; Marino P.N.; Di Ruocco M.V.; Sartori C.; Piccinino C.; Parrinello G.; Licata G.; Torres D.; Giambanco S.; Busalacchi S.; Arrotti S.; Novo S.; Inciardi R.M.; Pieri P.; Chirco P.R.; Galifi M.A.; Teresi G.; Buccheri D.; Minacapelli A.; Veniani M.; Frisinghelli A.; Priori S.G.; Cattaneo S.; Opasich C.; Gualco A.; Pagliaro M.; Mancone M.; Fedele F.; Cinque A.; Vellini M.; Scarfo I.; Romeo F.; Ferraiuolo F.; Sergi D.; Anselmi M.; Melandri F.; Leci E.; Iori E.; Bovolo V.; Pidello S.; Frea S.; Bergerone S.; Botta M.; Canavosio F.G.; Gaita F.; Merlo M.; Cinquetti M.; Sinagra G.; Ramani F.; Fabris E.; Stolfo D.; Artico J.; Miani D.; Fresco C.; Daneluzzi C.; Proclemer A.; Cicoira M.; Zanolla L.; Marchese G.; Torelli F.; Vassanelli C.; Voronina N.; Erglis A.; Tamakauskas V.; Smalinskas V.; Karaliute R.; Petraskiene I.; Kazakauskaite E.; Rumbinaite E.; Kavoliuniene A.; Vysniauskas V.; Brazyte-Ramanauskiene R.; Petraskiene D.; Stankala S.; Switala P.; Juszczyk Z.; Sinkiewicz W.; Gilewski W.; Pietrzak J.; Orzel T.; Kasztelowicz P.; Kardaszewicz P.; Lazorko-Piega M.; Gabryel J.; Mosakowska K.; Bellwon J.; Rynkiewicz A.; Raczak G.; Lewicka E.; Dabrowska-Kugacka A.; Bartkowiak R.; Sosnowska-Pasiarska B.; Wozakowska-Kaplon B.; Krzeminski A.; Zabojszcz M.; Mirek-Bryniarska E.; Grzegorzko A.; Bury K.; Nessler J.; Zalewski J.; Furman A.; Broncel M.; Poliwczak A.; Bala A.; Zycinski P.; Rudzinska M.; Jankowski L.; Kasprzak J.D.; Michalak L.; Soska K.W.; Drozdz J.; Huziuk I.; Retwinski A.; Flis P.; Weglarz J.; Bodys A.; Grajek S.; Kaluzna-Oleksy M.; Straburzynska-Migaj E.; Dankowski R.; Szymanowska K.; Grabia J.; Szyszka A.; Nowicka A.; Samcik M.; Wolniewicz L.; Baczynska K.; Komorowska K.; Poprawa I.; Komorowska E.; Sajnaga D.; Zolbach A.; Dudzik-Plocica A.; Abdulkarim A.-F.; Lauko-Rachocka A.; Kaminski L.; Kostka A.; Cichy A.; Ruszkowski P.; Splawski M.; Fitas G.; Szymczyk A.; Serwicka A.; Fiega A.; Zysko D.; Krysiak W.; Szabowski S.; Skorek E.; Pruszczyk P.; Bienias P.; Ciurzynski M.; Welnicki M.; Mamcarz A.; Folga A.; Zielinski T.; Rywik T.; Leszek P.; Sobieszczanska-Malek M.; Piotrowska M.; Kozar-Kaminska K.; Komuda K.; Wisniewska J.; Tarnowska A.; Balsam P.; Marchel M.; Opolski G.; Kaplon-Cieslicka A.; Gil R.J.; Mozenska O.; Byczkowska K.; Gil K.; Pawlak A.; Michalek A.; Krzesinski P.; Piotrowicz K.; Uzieblo-Zyczkowska B.; Stanczyk A.; Skrobowski A.; Ponikowski P.; Jankowska E.; Rozentryt P.; Polonski L.; Gadula-Gacek E.; Nowalany-Kozielska E.; Kuczaj A.; Kalarus Z.; Szulik M.; Przybylska K.; Klys J.; Prokop-Lewicka G.; Kleinrok A.; Aguiar C.T.; Ventosa A.; Pereira S.; Faria R.; Chin J.; De Jesus I.; Santos R.; Silva P.; Moreno N.; Queiros C.; Lourenco C.; Pereira A.; Castro A.; Andrade A.; Guimaraes T.O.; Martins S.; Placido R.; Lima G.; Brito D.; Francisco A.R.; Cardiga R.; Proenca M.; Araujo I.; Marques F.; Fonseca C.; Moura B.; Leite S.; Campelo M.; Silva-Cardoso J.; Rodrigues J.; Rangel I.; Martins E.; Correia A.S.; Peres M.; Marta L.; da Silva G.F.; Severino D.; Durao D.; Leao S.; Magalhaes P.; Moreira I.; Cordeiro A.F.; Ferreira C.; Araujo C.; Ferreira A.; Baptista A.; Radoi M.; Bicescu G.; Vinereanu D.; Sinescu C.-J.; Macarie C.; Popescu R.; Daha I.; Dan G.-A.; Stanescu C.; Dan A.; Craiu E.; Nechita E.; Aursulesei V.; Christodorescu R.; Otasevic P.; Seferovic P.M.; Simeunovic D.; Ristic A.D.; Celic V.; Pavlovic-Kleut M.; Lazic J.S.; Stojcevski B.; Pencic B.; Stevanovic A.; Andric A.; Iric-Cupic V.; Jovic M.; Davidovic G.; Milanov S.; Mitic V.; Atanaskovic V.; Antic S.; Pavlovic M.; Stanojevic D.; Stoickov V.; Ilic S.; Ilic M.D.; Petrovic D.; Stojsic S.; Kecojevic S.; Dodic S.; Adic N.C.; Cankovic M.; Stojiljkovic J.; Mihajlovic B.; Radin A.; Radovanovic S.; Krotin M.; Klabnik A.; Goncalvesova E.; Pernicky M.; Murin J.; Kovar F.; Kmec J.; Semjanova H.; Strasek M.; Iskra M.S.; Ravnikar T.; Suligoj N.C.; Komel J.; Fras Z.; Jug B.; Glavic T.; Losic R.; Bombek M.; Krajnc I.; Krunic B.; Horvat S.; Kovac D.; Rajtman D.; Cencic V.; Letonja M.; Winkler R.; Valentincic M.; Melihen-Bartolic C.; Bartolic A.; Vrckovnik M.P.; Kladnik M.; Pusnik C.S.; Marolt A.; Klen J.; Drnovsek B.; Leskovar B.; Anguita M.J.F.; Page J.C.G.; Martinez F.M.S.; Andres J.; Bayes-Genis A.; Mirabet S.; Mendez A.; Garcia-Cosio L.; Roig E.; Leon V.; Gonzalez-Costello J.; Muntane G.; Garay A.; Alcade-Martinez V.; Fernandez S.L.; Rivera-Lopez R.; Puga-Martinez M.; Fernandez-Alvarez M.; Serrano-Martinez J.L.; Crespo-Leiro M.; Grille-Cancela Z.; Marzoa-Rivas R.; Blanco-Canosa P.; Paniagua-Martin M.J.; Barge-Caballero E.; Cerdena I.L.; Baldomero I.F.H.; Padron A.L.; Rosillo S.O.; Gonzalez-Gallarza R.D.; Montanes O.S.; Manjavacas A.M.I.; Conde A.C.; Araujo A.; Soria T.; Garcia-Pavia P.; Gomez-Bueno M.; Cobo-Marcos M.; Alonso-Pulpon L.; Cubero J.S.; Sayago I.; Gonzalez-Segovia A.; Briceno A.; Subias P.E.; Hernandez M.V.; Cano M.J.R.; Sanchez M.A.G.; Jimenez J.F.D.; Garrido-Lestache E.B.; Pinilla J.M.G.; de la Villa B.G.; Sahuquillo A.; Marques R.B.; Calvo F.T.; Perez-Martinez M.T.; Gracia-Rodenas M.R.; Garrido-Bravo I.P.; Pastor-Perez F.; Pascual-Figal D.A.; Molina B.D.; Orus J.; Gonzalo F.E.; Bertomeu V.; Valero R.; Martinez-Abellan R.; Quiles J.; Rodrigez-Ortega J.A.; Mateo I.; ElAmrani A.; Fernandez-Vivancos C.; Valero D.B.; Almenar-Bonet L.; Sanchez-Lazaro I.J.; Marques-Sule E.; Facila-Rubio L.; Perez-Silvestre J.; Garcia-Gonzalez P.; Ridocci-Soriano F.; Garcia-Escriva D.; Pellicer-Cabo A.; de la Fuente Galan L.; Diaz J.L.; Platero A.R.; Arias J.C.; Blasco-Peiro T.; Julve M.S.; Sanchez-Insa E.; Aured-Guallar C.; Portoles-Ocampo A.; Melin M.; Hagglund E.; Stenberg A.; Lindahl I.-M.; Asserlund B.; Olsson L.; Dahlstrom U.; Afzelius M.; Karlstrom P.; Tengvall L.; Wiklund P.-A.; Olsson B.; Kalayci S.; Temizhan A.; Cavusoglu Y.; Gencer E.; Yilmaz M.B.; Gunes H.Chioncel, O.; Mebazaa, A.; Maggioni, A. P.; Harjola, V. -P.; Rosano, G.; Laroche, C.; Piepoli, M. F.; Crespo-Leiro, M. G.; Lainscak, M.; Ponikowski, P.; Filippatos, G.; Ruschitzka, F.; Seferovic, P.; Coats, A. J. S.; Lund, L. H.; Auer, J.; Ablasser, K.; Fruhwald, F.; Dolze, T.; Brandner, K.; Gstrein, S.; Poelzl, G.; Moertl, D.; Reiter, S.; Podczeck-Schweighofer, A.; Muslibegovic, A.; Vasilj, M.; Fazlibegovic, E.; Cesko, M.; Zelenika, D.; Palic, B.; Pravdic, D.; Cuk, D.; Vitlianova, K.; Katova, T.; Velikov, T.; Kurteva, T.; Gatzov, P.; Kamenova, D.; Antova, M.; Sirakova, V.; Krejci, J.; Mikolaskova, M.; Spinar, J.; Krupicka, J.; Malek, F.; Hegarova, M.; Lazarova, M.; Monhart, Z.; Hassanein, M.; Sobhy, M.; El Messiry, F.; El Shazly, A. H.; Elrakshy, Y.; Youssef, A.; Moneim, A. A.; Noamany, M.; Reda, A.; Dayem, T. K. A.; Farag, N.; Halawa, S. I.; Hamid, M. A.; Said, K.; Saleh, A.; Ebeid, H.; Hanna, R.; Aziz, R.; Louis, O.; Enen, M. A.; Ibrahim, B. S.; Nasr, G.; Elbahry, A.; Sobhy, H.; Ashmawy, M.; Gouda, M.; Aboleineen, W.; Bernard, Y.; Luporsi, P.; Meneveau, N.; Pillot, M.; Morel, M.; Seronde, M. -F.; Schiele, F.; Briand, F.; Delahaye, F.; Damy, T.; Eicher, J. -C.; de Groote, P.; Fertin, M.; Lamblin, N.; Isnard, R.; Lefol, C.; Thevenin, S.; Hagege, A.; Jondeau, G.; Logeart, D.; Le Marcis, V.; Ly, J. -F.; Coisne, D.; Lequeux, B.; Le Moal, V.; Mascle, S.; Lotton, P.; Behar, N.; Donal, E.; Thebault, C.; Ridard, C.; Reynaud, A.; Basquin, A.; Bauer, F.; Codjia, R.; Galinier, M.; Tourikis, P.; Stavroula, M.; Tousoulis, D.; Stefanadis, C.; Chrysohoou, C.; Kotrogiannis, I.; Matzaraki, V.; Dimitroula, T.; Karavidas, A.; Tsitsinakis, G.; Kapelios, C.; Nanas, J.; Kampouri, H.; Nana, E.; Kaldara, E.; Eugenidou, A.; Vardas, P.; Saloustros, I.; Patrianakos, A.; Tsaknakis, T.; Evangelou, S.; Nikoloulis, N.; Tziourganou, H.; Tsaroucha, A.; Papadopoulou, A.; Douras, A.; Polgar, L.; Merkely, B.; Kosztin, A.; Nyolczas, N.; Nagy, A. 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Sacubitril/valsartan eligibility and outcomes in the ESC-EORP-HFA Heart Failure Long-Term Registry: bridging between European Medicines Agency/Food and Drug Administration label, the PARADIGM-HF trial, ESC guidelines, and real world

Aims: To assess the proportion of patients with heart failure and reduced ejection fraction (HFrEF) who are eligible for sacubitril/valsartan (LCZ696) based on the European Medicines Agency/Food and Drug Administration (EMA/FDA) label, the PARADIGM-HF trial and the 2016 ESC guidelines, and the association between eligibility and outcomes. Methods and results: Outpatients with HFrEF in the ESC-EORP-HFA Long-Term Heart Failure (HF-LT) Registry between March 2011 and November 2013 were considered. Criteria for LCZ696 based on EMA/FDA label, PARADIGM-HF and ESC guidelines were applied. Of 5443 patients, 2197 and 2373 had complete information for trial and guideline eligibility assessment, and 84%, 12% and 12% met EMA/FDA label, PARADIGM-HF and guideline criteria, respectively. Absent PARADIGM-HF criteria were low natriuretic peptides (21%), hyperkalemia (4%), hypotension (7%) and sub-optimal pharmacotherapy (74%); absent Guidelines criteria were LVEF>35% (23%), insufficient NP levels (30%). and sub-optimal pharmacotherapy (82%); absent label criteria were absence of symptoms (New York Heart Association class I). When a daily requirement of ACEi/ARB ≥ 10 mg enalapril (instead of ≥ 20 mg) was used, eligibility rose from 12% to 28% based on both PARADIGM-HF and guidelines. One-year heart failure hospitalization was higher (12% and 17% vs. 12%) and all-cause mortality lower (5.3% and 6.5% vs. 7.7%) in registry eligible patients compared to the enalapril arm of PARADIGM-HF. Conclusions: Among outpatients with HFrEF in the ESC-EORP-HFA HF-LT Registry, 84% met label criteria, while only 12% and 28% met PARADIGM-HF and guideline criteria for LCZ696 if requiring ≥ 20 mg and ≥ 10 mg enalapril, respectively. Registry patients eligible for LCZ696 had greater heart failure hospitalization but lower mortality rates than the PARADIGM-HF enalapril group

Are hospitalized or ambulatory patients with heart failure treated in accordance with European Society of Cardiology guidelines? Evidence from 12 440 patients of the ESC Heart Failure Long-Term Registry.

AIMS: To evaluate how recommendations of European guidelines regarding pharmacological and non-pharmacological treatments for heart failure (HF) are adopted in clinical practice. METHODS AND RESULTS: The ESC-HF Long-Term Registry is a prospective, observational study conducted in 211 Cardiology Centres of 21 European and Mediterranean countries, members of the European Society of Cardiology (ESC). From May 2011 to April 2013, a total of 12 440 patients were enrolled, 40.5% with acute HF and 59.5% with chronic HF. Intravenous treatments for acute HF were heterogeneously administered, irrespective of guideline recommendations. In chronic HF, with reduced EF, renin-angiotensin system (RAS) blockers, beta-blockers, and mineralocorticoid antagonists (MRAs) were used in 92.2, 92.7, and 67.0% of patients, respectively. When reasons for non-adherence were considered, the real rate of undertreatment accounted for 3.2, 2.3, and 5.4% of the cases, respectively. About 30% of patients received the target dosage of these drugs, but a documented reason for not achieving the target dosage was reported in almost two-thirds of them. The more relevant reasons for non-implantation of a device, when clinically indicated, were related to doctor uncertainties on the indication, patient refusal, or logistical/cost issues. CONCLUSION: This pan-European registry shows that, while in patients with acute HF, a large heterogeneity of treatments exists, drug treatment of chronic HF can be considered largely adherent to recommendations of current guidelines, when the reasons for non-adherence are taken into account. Observations regarding the real possibility to adhere fully to current guidelines in daily clinical practice should be seriously considered when clinical practice guidelines have to be written