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%

Do Patients with Atrial Fibrillation and a History of Ischemic Stroke Overuse Reduced Doses of NOACs?-Results of the Polish Atrial Fibrillation (POL-AF) Registry

Background: The aim of our study was to assess if patients with AF (atrial fibrillation) and a history of ischemic stroke (IS) excessively receive reduced doses of NOACs (non-vitamin K antagonist oral anticoagulants). Methods: The Polish AF (POL-AF) registry is a prospective, observational, multicenter study, including patients with AF from 10 cardiology hospital centers. In this study we focused on patients with IS in their past. Results: Among 3999 patients enrolled in the POL-AF registry, 479 (12%) had a previous history of IS. Compared to patients without IS history, post-stroke subjects had a higher CHA(2)DS(2)-VASc score (median score 7 vs. 4, p < 0.05). Of these subjects, 439 (92%) had anticoagulation therapy, 83 (18.9%) were treated with a vitamin K antagonist (VKA), 135 (30.8%) with rivaroxaban, 112 (25.5%) with dabigatran, and 109 (24.8%) with apixaban. There were a significant number of patients after IS with reduced doses of NOACs (48.9% for rivaroxaban, 45.5% for dabigatran, and 36.7% for apixaban). In many cases, patients were prescribed reduced doses of NOACs without any indication for reduction (28.8% of rivaroxaban use, 56.9% of dabigatran use, and 60.0% of apixaban use—out of reduced dosage groups, p = 0.06). Conclusions: A significant proportion of AF patients received reduced doses of NOAC after ischemic stroke in a sizeable number of cases, without indication for dose reduction

Association of Hyperuricemia with Impaired Left Ventricular Systolic Function in Patients with Atrial Fibrillation and Preserved Kidney Function: Analysis of the POL-AF Registry Cohort

Hyperuricemia is associated with the risk of developing atrial fibrillation (AF) and heart failure. However, coexisting chronic kidney disease and certain cardiovascular drugs make it difficult to determine whether hyperuricemia is a risk factor or merely a marker of pathology. We retrieved data from the Polish Atrial Fibrillation (POL-AF) registry, which included consecutive patients hospitalized with AF from January to December, 2019. We included 829 patients (mean age: 72.7 +/- 11.1 years) with data on serum uric acid (UA, mean: 6.56 +/- 1.78 mg/dL) and estimated glomerular filtration rate (eGFR) >= 60 mL/min/1.73 m(2). We found that UA and ejection fraction (EF) were significantly correlated (r = -0.15, p < 0.05), but not EF and eGFR or eGFR and UA. A multiple regression analysis adjusted for age, body mass index, eGFR, and UA, showed that UA was significantly associated with a reduced EF (R-2: 0.021; p < 0.001). The UA cut-off indicative of an EF < 40% was 6.69 mg/dL (AUC, area under the curve: 0.607; 95% CI: 0.554-0.660; p = 0.001). Among drugs known to effect UA concentrations, we found that only diuretics were used more frequently in patients with high UA (above the median) than in patients with low UA (77.5% vs. 67%, p < 0.001). Among patients that used diuretics, UA remained significantly correlated with EF. Thus, we showed that reduced EF was associated with UA in patients with AF and normal renal function, independent of eGFR and diuretic use

Association of Hyperuricemia with Impaired Left Ventricular Systolic Function in Patients with Atrial Fibrillation and Preserved Kidney Function: Analysis of the POL-AF Registry Cohort

Hyperuricemia is associated with the risk of developing atrial fibrillation (AF) and heart failure. However, coexisting chronic kidney disease and certain cardiovascular drugs make it difficult to determine whether hyperuricemia is a risk factor or merely a marker of pathology. We retrieved data from the Polish Atrial Fibrillation (POL-AF) registry, which included consecutive patients hospitalized with AF from January to December, 2019. We included 829 patients (mean age: 72.7 ± 11.1 years) with data on serum uric acid (UA, mean: 6.56 ± 1.78 mg/dL) and estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73 m(2). We found that UA and ejection fraction (EF) were significantly correlated (r = −0.15, p < 0.05), but not EF and eGFR or eGFR and UA. A multiple regression analysis adjusted for age, body mass index, eGFR, and UA, showed that UA was significantly associated with a reduced EF (R(2): 0.021; p < 0.001). The UA cut-off indicative of an EF < 40% was 6.69 mg/dL (AUC, area under the curve: 0.607; 95% CI: 0.554–0.660; p = 0.001). Among drugs known to effect UA concentrations, we found that only diuretics were used more frequently in patients with high UA (above the median) than in patients with low UA (77.5% vs. 67%, p < 0.001). Among patients that used diuretics, UA remained significantly correlated with EF. Thus, we showed that reduced EF was associated with UA in patients with AF and normal renal function, independent of eGFR and diuretic use

Risk factors for left atrial thrombus in younger patients (aged < 65 years) with atrial fibrillation or atrial flutter: Data from the multicenter left atrial thrombus on transesophageal echocardiography (LATTEE) registry

BackgroundOur aim was to assess the characteristics and to identify predictors of left atrial thrombus (LAT) in patients under age 65 with atrial fibrillation (AF) or atrial flutter (AFl). MethodsWe conducted a subanalysis of a multicenter, prospective, observational study [the LATTEE registry]. Consecutive AF/AFl patients referred for cardioversion or ablation were enrolled. ResultsOf the 3,109 patients included in the study, 1,276 were under age 65 (41%). Compared to non-LAT patients, those with LAT (n = 76) had higher CHA(2)DS(2)-VASc score (p < 0.001), more frequently had non-paroxysmal AF/AFl (p < 0.001), heart failure (p < 0.001), history of diabetes mellitus (p = 0.001), transient ischemic attack (p = 0.04), coronary artery disease (p = 0.02), and chronic kidney disease (p < 0.001). The LAT patients were also more often smokers (p = 0.004) and were more frequently treated with vitamin K antagonists (VKAs) (p < 0.001). Transthoracic echocardiography revealed a higher left atrial area (p < 0.001), lower left ventricular ejection fraction (LVEF) (p < 0.001), and lower value of LA appendage emptying volume in LAT than in non-LAT patients (p < 0.001). LVEF (OR 2.95; 95% CI: 1.32-6.59, p = 0.008), non-paroxysmal AF/AFl (OR 7.1; 95% CI: 2.05-24.63, p = 0.002) and treatment with VKAs (OR 4.92; 95% CI: 2.48-9.75, p < 0.001) were identified as independent predictors of LAT in younger patients. ConclusionsOur study, which focused on younger patients with AF/AFl, indicated substantial clinical and echocardiographic differences between participants with and without LAT. In the AF/AFl patients younger than age 65, the independent predictors of LAT included non-paroxysmal AF/AFl, lower LVEF, and treatment with VKAs

Risk factors for left atrial thrombus in younger patients (aged &lt; 65 years) with atrial fibrillation or atrial flutter: Data from the multicenter left atrial thrombus on transesophageal echocardiography (LATTEE) registry

BACKGROUND: Our aim was to assess the characteristics and to identify predictors of left atrial thrombus (LAT) in patients under age 65 with atrial fibrillation (AF) or atrial flutter (AFl). METHODS: We conducted a subanalysis of a multicenter, prospective, observational study [the LATTEE registry]. Consecutive AF/AFl patients referred for cardioversion or ablation were enrolled. RESULTS: Of the 3,109 patients included in the study, 1,276 were under age 65 (41%). Compared to non-LAT patients, those with LAT (n = 76) had higher CHA(2)DS(2)-VASc score (p < 0.001), more frequently had non-paroxysmal AF/AFl (p < 0.001), heart failure (p < 0.001), history of diabetes mellitus (p = 0.001), transient ischemic attack (p = 0.04), coronary artery disease (p = 0.02), and chronic kidney disease (p < 0.001). The LAT patients were also more often smokers (p = 0.004) and were more frequently treated with vitamin K antagonists (VKAs) (p < 0.001). Transthoracic echocardiography revealed a higher left atrial area (p < 0.001), lower left ventricular ejection fraction (LVEF) (p < 0.001), and lower value of LA appendage emptying volume in LAT than in non-LAT patients (p < 0.001). LVEF (OR 2.95; 95% CI: 1.32–6.59, p = 0.008), non-paroxysmal AF/AFl (OR 7.1; 95% CI: 2.05–24.63, p = 0.002) and treatment with VKAs (OR 4.92; 95% CI: 2.48–9.75, p < 0.001) were identified as independent predictors of LAT in younger patients. CONCLUSIONS: Our study, which focused on younger patients with AF/AFl, indicated substantial clinical and echocardiographic differences between participants with and without LAT. In the AF/AFl patients younger than age 65, the independent predictors of LAT included non-paroxysmal AF/AFl, lower LVEF, and treatment with VKAs

Increased Body Mass Index and Risk of Left Atrial Thrombus in Nonvalvular Atrial Fibrillation Patients-Data from the Left Atrial Thrombus on Transesophageal Echocardiography (LATTEE) Registry

An increased body mass index (BMI) is associated with a higher incidence of atrial fibrillation (AF) and a higher risk of thromboembolic complications in AF patients. The aim of this study was to investigate the effect of BMI on the risk of left atrial thrombi (LATs) in patients with nonvalvular AF/atrial flutter (AFl) (NV AF/AFl). Patients diagnosed with NVAF/AFl (between November 2018 and May 2020) were selected from the multicenter, prospective, observational Left Atrial Thrombus on Transesophageal Echocardiography (LATTEE) registry that included AF/AFl patients referred for cardioversion or ablation followed by transesophageal echocardiography. A total of 2816 AF/AFl patients (63.6% males; mean age 65.8 years; mean BMI 29.8 kg/m(2)) were included in the study. Two hundred and twenty-two of them (7.9%) had LATs. Compared with normal-weight patients, those with BMIs >= 25 kg/m(2) more frequently presented clinical factors potentially provoking LATs, such as non-paroxysmal AF/AFl (p = 0.04), hypertension (p < 0.001), and diabetes (p < 0.001); had higher CHA(2)DS(2) scores (p < 0.001); and had larger LA dimensions (LA diameter and LA area) (p < 0.001 for both parameters). On the other hand, they showed some features negatively related to thromboembolic risk; for example, they were younger (p < 0.001) and were more often male (p = 0.002). In addition, patients with abnormal BMIs were more likely to be smokers (p = 0.006) and to be treated with oral anticoagulants (p = 0.005). Despite these differences in the prevalence of thromboembolic risk factors, the incidence of LATs was not increased in patients with abnormal body weight (overweight and obese compared to normal-weight patients) in this large real-life cohort of AF/AFl patients. This is probably due to the balanced composition regarding the prevalence of positive and negative thromboembolic risk factors

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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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. 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Unravelling the interplay between hyperkalaemia, renin\u2013angiotensin\u2013aldosterone inhibitor use and clinical outcomes. Data from 9222 chronic heart failure patients of the ESC-HFA-EORP Heart Failure Long-Term Registry

Aims: We assessed the interplay between hyperkalaemia (HK) and renin\u2013angiotensin\u2013aldosterone system inhibitor (RAASi) use, dose and discontinuation, and their association with all-cause or cardiovascular death in patients with chronic heart failure (HF). We hypothesized that HK-associated increased death may be related to RAASi withdrawal. Methods and results: The ESC-HFA-EORP Heart Failure Long-Term Registry was used. Among 9222 outpatients (HF with reduced ejection fraction: 60.6%, HF with mid-range ejection fraction: 22.9%, HF with preserved ejection fraction: 16.5%) from 31 countries, 16.6% had HK ( 655.0 mmol/L) at baseline. Angiotensin-converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) was used in 88.3%, a mineralocorticoid receptor antagonist (MRA) in 58.7%, or a combination in 53.2%; of these, at 6550% of target dose in ACEi: 61.8%; ARB: 64.7%; and MRA: 90.3%. At a median follow-up of 12.2 months, there were 789 deaths (8.6%). Both hypokalaemia and HK were independently. associated with higher mortality, and ACEi/ARB prescription at baseline with lower mortality. MRA prescription was not retained in the model. In multivariable analyses, HK at baseline was independently associated with MRA non-prescription at baseline and subsequent discontinuation. When considering subsequent discontinuation of RAASi (instead of baseline use), HK was no longer found associated with all-cause deaths. Importantly, all RAASi (ACEi, ARB, or MRA) discontinuations were strongly associated with mortality. Conclusions: In HF, hyper- and hypokalaemia were associated with mortality. However, when adjusting for RAASi discontinuation, HK was no longer associated with mortality, suggesting that HK may be a risk marker for RAASi discontinuation rather than a risk factor for worse outcomes