Abstract
Original language | English |
---|---|
Pages (from-to) | 452-462 |
Number of pages | 11 |
Journal | JACC: Heart Failure |
Volume | 6 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- heart failure
- mortality
- prognosis
- risk score
- creatinine
- adult
- age
- aged
- all cause mortality
- area under the curve
- Article
- Candesartan in Heart Failure Assessment of Reduction in Mortality
- clinical feature
- controlled study
- creatinine blood level
- Eplerenone in Mild Patients Hospitalization and Survival Study in Heart Failure
- female
- follow up
- Gruppo Italiano per lo Studio della Streptochinasi nell Infarto Miocardico Heart Failure
- Heart Failure and A Controlled Trial Investigating Outcomes of Exercise Training
- heart left ventricle ejection fraction
- hospitalization
- human
- intermethod comparison
- ischemic heart disease
- major clinical study
- male
- measurement accuracy
- measurement precision
- medical history
- Meta analysis Global Group in Chronic Heart Failure
- Metabolic Exercise Cardiac Kidney Index
- middle aged
- prediction
- priority journal
- prognostic assessment
- Prognostic Risk Score
- register
- Seattle Heart Failure Model
- survival
- systolic blood pressure
Fingerprint
Dive into the research topics of 'Performance of Prognostic Risk Scores in Chronic Heart Failure Patients Enrolled in the European Society of Cardiology Heart Failure Long-Term Registry'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
Performance of Prognostic Risk Scores in Chronic Heart Failure Patients Enrolled in the European Society of Cardiology Heart Failure Long-Term Registry. / Canepa, M.; Fonseca, C.; Chioncel, O. et al.
In: JACC: Heart Failure, Vol. 6, No. 6, 2018, p. 452-462.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Performance of Prognostic Risk Scores in Chronic Heart Failure Patients Enrolled in the European Society of Cardiology Heart Failure Long-Term Registry
AU - Canepa, M.
AU - Fonseca, C.
AU - Chioncel, O.
AU - Laroche, C.
AU - Crespo-Leiro, M.G.
AU - Coats, A.J.S.
AU - Mebazaa, A.
AU - Piepoli, M.F.
AU - Tavazzi, L.
AU - Maggioni, A.P.
AU - Anker, S.
AU - Filippatos, G.
AU - Ferrari, R.
AU - Amir, O.
AU - Dahlström, U.
AU - Delgado Jimenez, J.F.
AU - Drozdz, J.
AU - Erglis, A.
AU - Fazlibegovic, E.
AU - Fruhwald, F.
AU - Gatzov, P.
AU - Goncalvesova, E.
AU - Hassanein, M.
AU - Hradec, J.
AU - Kavoliuniene, A.
AU - Lainscak, M.
AU - Logeart, D.
AU - Merkely, B.
AU - Metra, M.
AU - Otljanska, M.
AU - Seferovic, P.M.
AU - Srbinovska Kostovska, E.
AU - Temizhan, A.
AU - Tousoulis, D.
AU - Ferreira, T.
AU - Andarala, M.
AU - Fiorucci, E.
AU - Folkesson Lefrancq, E.
AU - Glémot, M.
AU - Gracia, G.
AU - Konte, M.
AU - McNeill, P.A.
AU - Missiamenou, V.
AU - Taylor, C.
AU - Auer, J.
AU - Ablasser, K.
AU - Dolze, T.
AU - Brandner, K.
AU - Gstrein, S.
AU - Poelzl, G.
AU - Moertl, D.
AU - Reiter, S.
AU - Podczeck-Schweighofer, A.
AU - Muslibegovic, A.
AU - Vasilj, M.
AU - Cesko, M.
AU - Zelenika, D.
AU - Palic, B.
AU - Pravdic, D.
AU - Cuk, D.
AU - Vitlianova, K.
AU - Katova, T.
AU - Velikov, T.
AU - Kurteva, T.
AU - Kamenova, D.
AU - Antova, M.
AU - Sirakova, V.
AU - Krejci, J.
AU - Mikolaskova, M.
AU - Spinar, J.
AU - Krupicka, J.
AU - Malek, F.
AU - Hegarova, M.
AU - Lazarova, M.
AU - Monhart, Z.
AU - Sobhy, M.
AU - El Messiry, F.
AU - El Shazly, A.H.
AU - Elrakshy, Y.
AU - Youssef, A.
AU - Moneim, A.A.
AU - Noamany, M.
AU - Reda, A.
AU - Abdel Dayem, T.K.
AU - Farag, N.
AU - Ibrahim Halawa, S.
AU - Abdel Hamid, M.
AU - Said, K.
AU - Saleh, A.
AU - Ebeid, H.
AU - Hanna, R.
AU - Aziz, R.
AU - Louis, O.
AU - Enen, M.A.
AU - Ibrahim, B.S.
AU - Nasr, G.
AU - Elbahry, A.
AU - Sobhy, H.
AU - Ashmawy, M.
AU - Gouda, M.
AU - Aboleineen, W.
AU - Bernard, Y.
AU - Luporsi, P.
AU - Meneveau, N.
AU - Pillot, M.
AU - Morel, M.
AU - Seronde, M.-F.
AU - Schiele, F.
AU - Briand, F.
AU - Delahaye, F.
AU - Damy, T.
AU - Eicher, J.-C.
AU - de Groote, P.
AU - Fertin, M.
AU - Lamblin, N.
AU - Isnard, R.
AU - Lefol, C.
AU - Thevenin, S.
AU - Hagege, A.
AU - Jondeau, G.
AU - Le Marcis, V.
AU - Ly, J.-F.
AU - Coisne, D.
AU - Lequeux, B.
AU - Le Moal, V.
AU - Mascle, S.
AU - Lotton, P.
AU - Behar, N.
AU - Donal, E.
AU - Thebault, C.
AU - Ridard, C.
AU - Reynaud, A.
AU - Basquin, A.
AU - Bauer, F.
AU - Codjia, R.
AU - Galinier, M.
AU - Tourikis, P.
AU - Stavroula, M.
AU - Stefanadis, C.
AU - Chrysohoou, C.
AU - Kotrogiannis, I.
AU - Matzaraki, V.
AU - Dimitroula, T.
AU - Karavidas, A.
AU - Tsitsinakis, G.
AU - Kapelios, C.
AU - Nanas, J.
AU - Kampouri, H.
AU - Nana, E.
AU - Kaldara, E.
AU - Eugenidou, A.
AU - Vardas, P.
AU - Saloustros, I.
AU - Patrianakos, A.
AU - Tsaknakis, T.
AU - Evangelou, S.
AU - Nikoloulis, N.
AU - Tziourganou, H.
AU - Tsaroucha, A.
AU - Papadopoulou, A.
AU - Douras, A.
AU - Polgar, L.
AU - Kosztin, A.
AU - Nyolczas, N.
AU - Csaba Nagy, A.
AU - Halmosi, R.
AU - Elber, J.
AU - Alony, I.
AU - Shotan, A.
AU - Vazan Fuhrmann, A.
AU - Romano, S.
AU - Marcon, S.
AU - Penco, M.
AU - Di Mauro, M.
AU - Lemme, E.
AU - Carubelli, V.
AU - Rovetta, R.
AU - Bulgari, M.
AU - Quinzani, F.
AU - Lombardi, C.
AU - Bosi, S.
AU - Schiavina, G.
AU - Squeri, A.
AU - Barbieri, A.
AU - Di Tano, G.
AU - Pirelli, S.
AU - Fucili, A.
AU - Passero, T.
AU - Musio, S.
AU - Di Biase, M.
AU - Correale, M.
AU - Salvemini, G.
AU - Brognoli, S.
AU - Zanelli, E.
AU - Giordano, A.
AU - Agostoni, P.
AU - Italiano, G.
AU - Salvioni, E.
AU - Copelli, S.
AU - Modena, M.G.
AU - Reggianini, L.
AU - Valenti, C.
AU - Olaru, A.
AU - Bandino, S.
AU - Deidda, M.
AU - Mercuro, G.
AU - Cadeddu Dessalvi, C.
AU - Marino, P.N.
AU - Di Ruocco, M.V.
AU - Sartori, C.
AU - Piccinino, C.
AU - Parrinello, G.
AU - Licata, G.
AU - Torres, D.
AU - Giambanco, S.
AU - Busalacchi, S.
AU - Arrotti, S.
AU - Novo, S.
AU - Inciardi, R.M.
AU - Pieri, P.
AU - Chirco, P.R.
AU - Ausilia Galifi, M.
AU - Teresi, G.
AU - Buccheri, D.
AU - Minacapelli, A.
AU - Veniani, M.
AU - Frisinghelli, A.
AU - Priori, S.G.
AU - Cattaneo, S.
AU - Opasich, C.
AU - Gualco, A.
AU - Pagliaro, M.
AU - Mancone, M.
AU - Fedele, F.
AU - Cinque, A.
AU - Vellini, M.
AU - Scarfo, I.
AU - Romeo, F.
AU - Ferraiuolo, F.
AU - Sergi, D.
AU - Anselmi, M.
AU - Melandri, F.
AU - Leci, E.
AU - Iori, E.
AU - Bovolo, V.
AU - Pidello, S.
AU - Frea, S.
AU - Bergerone, S.
AU - Botta, M.
AU - Canavosio, F.G.
AU - Gaita, F.
AU - Merlo, M.
AU - Cinquetti, M.
AU - Sinagra, G.
AU - Ramani, F.
AU - Fabris, E.
AU - Stolfo, D.
AU - Artico, J.
AU - Miani, D.
AU - Fresco, C.
AU - Daneluzzi, C.
AU - Proclemer, A.
AU - Cicoira, M.
AU - Zanolla, L.
AU - Marchese, G.
AU - Torelli, F.
AU - Vassanelli, C.
AU - Voronina, N.
AU - Tamakauskas, V.
AU - Smalinskas, V.
AU - Karaliute, R.
AU - Petraskiene, I.
AU - Kazakauskaite, E.
AU - Rumbinaite, E.
AU - Vysniauskas, V.
AU - Brazyte-Ramanauskiene, R.
AU - Petraskiene, D.
AU - Stankala, S.
AU - Switala, P.
AU - Juszczyk, Z.
AU - Sinkiewicz, W.
AU - Gilewski, W.
AU - Pietrzak, J.
AU - Orzel, T.
AU - Kasztelowicz, P.
AU - Kardaszewicz, P.
AU - Lazorko-Piega, M.
AU - Gabryel, J.
AU - Mosakowska, K.
AU - Bellwon, J.
AU - Rynkiewicz, A.
AU - Raczak, G.
AU - Lewicka, E.
AU - Dabrowska-Kugacka, A.
AU - Bartkowiak, R.
AU - Sosnowska-Pasiarska, B.
AU - Wozakowska-Kaplon, B.
AU - Krzeminski, A.
AU - Zabojszcz, M.
AU - Mirek-Bryniarska, E.
AU - Grzegorzko, A.
AU - Bury, K.
AU - Nessler, J.
AU - Zalewski, J.
AU - Furman, A.
AU - Broncel, M.
AU - Poliwczak, A.
AU - Bala, A.
AU - Zycinski, P.
AU - Rudzinska, M.
AU - Jankowski, L.
AU - Kasprzak, J.D.
AU - Michalak, L.
AU - Wojtczak Soska, K.
AU - Huziuk, I.
AU - Retwinski, A.
AU - Flis, P.
AU - Weglarz, J.
AU - Bodys, A.
AU - Grajek, S.
AU - Kaluzna-Oleksy, M.
AU - Straburzynska-Migaj, E.
AU - Dankowski, R.
AU - Szymanowska, K.
AU - Grabia, J.
AU - Szyszka, A.
AU - Nowicka, A.
AU - Samcik, M.
AU - Wolniewicz, L.
AU - Baczynska, K.
AU - Komorowska, K.
AU - Poprawa, I.
AU - Komorowska, E.
AU - Sajnaga, D.
AU - Zolbach, A.
AU - Dudzik-Plocica, A.
AU - Abdulkarim, A.-F.
AU - Lauko-Rachocka, A.
AU - Kaminski, L.
AU - Kostka, A.
AU - Cichy, A.
AU - Ruszkowski, P.
AU - Splawski, M.
AU - Fitas, G.
AU - Szymczyk, A.
AU - Serwicka, A.
AU - Fiega, A.
AU - Zysko, D.
AU - Krysiak, W.
AU - Szabowski, S.
AU - Skorek, E.
AU - Pruszczyk, P.
AU - Bienias, P.
AU - Ciurzynski, M.
AU - Welnicki, M.
AU - Mamcarz, A.
AU - Folga, A.
AU - Zielinski, T.
AU - Rywik, T.
AU - Leszek, P.
AU - Sobieszczanska-Malek, M.
AU - Piotrowska, M.
AU - Kozar-Kaminska, K.
AU - Komuda, K.
AU - Wisniewska, J.
AU - Tarnowska, A.
AU - Balsam, P.
AU - Marchel, M.
AU - Opolski, G.
AU - Kaplon-Cieslicka, A.
AU - Gil, R.J.
AU - Mozenska, O.
AU - Byczkowska, K.
AU - Gil, K.
AU - Pawlak, A.
AU - Michalek, A.
AU - Krzesinski, P.
AU - Piotrowicz, K.
AU - Uzieblo-Zyczkowska, B.
AU - Stanczyk, A.
AU - Skrobowski, A.
AU - Ponikowski, P.
AU - Jankowska, E.
AU - Rozentryt, P.
AU - Polonski, L.
AU - Gadula-Gacek, E.
AU - Nowalany-Kozielska, E.
AU - Kuczaj, A.
AU - Kalarus, Z.
AU - Szulik, M.
AU - Przybylska, K.
AU - Klys, J.
AU - Prokop-Lewicka, G.
AU - Kleinrok, A.
AU - Tavares Aguiar, C.
AU - Ventosa, A.
AU - Pereira, S.
AU - Faria, R.
AU - Chin, J.
AU - De Jesus, I.
AU - Santos, R.
AU - Silva, P.
AU - Moreno, N.
AU - Queirós, C.
AU - Lourenço, C.
AU - Pereira, A.
AU - Castro, A.
AU - Andrade, A.
AU - Oliveira Guimaraes, T.
AU - Martins, S.
AU - Placido, R.
AU - Lima, G.
AU - Brito, D.
AU - Francisco, A.R.
AU - Cardiga, R.
AU - Proenca, M.
AU - Araujo, I.
AU - Marques, F.
AU - Moura, B.
AU - Leite, S.
AU - Campelo, M.
AU - Silva-Cardoso, J.
AU - Rodrigues, J.
AU - Rangel, I.
AU - Martins, E.
AU - Sofia Correia, A.
AU - Peres, M.
AU - Marta, L.
AU - Ferreira da Silva, G.
AU - Severino, D.
AU - Durao, D.
AU - Leao, S.
AU - Magalhaes, P.
AU - Moreira, I.
AU - Filipa Cordeiro, A.
AU - Ferreira, C.
AU - Araujo, C.
AU - Ferreira, A.
AU - Baptista, A.
AU - Radoi, M.
AU - Bicescu, G.
AU - Vinereanu, D.
AU - Sinescu, C.-J.
AU - Macarie, C.
AU - Popescu, R.
AU - Daha, I.
AU - Dan, G.-A.
AU - Stanescu, C.
AU - Dan, A.
AU - Craiu, E.
AU - Nechita, E.
AU - Aursulesei, V.
AU - Christodorescu, R.
AU - Otasevic, P.
AU - Simeunovic, D.
AU - Ristic, A.D.
AU - Celic, V.
AU - Pavlovic-Kleut, M.
AU - Suzic Lazic, J.
AU - Stojcevski, B.
AU - Pencic, B.
AU - Stevanovic, A.
AU - Andric, A.
AU - Iric-Cupic, V.
AU - Jovic, M.
AU - Davidovic, G.
AU - Milanov, S.
AU - Mitic, V.
AU - Atanaskovic, V.
AU - Antic, S.
AU - Pavlovic, M.
AU - Stanojevic, D.
AU - Stoickov, V.
AU - Ilic, S.
AU - Deljanin Ilic, M.
AU - Petrovic, D.
AU - Stojsic, S.
AU - Kecojevic, S.
AU - Dodic, S.
AU - Cemerlic Adic, N.
AU - Cankovic, M.
AU - Stojiljkovic, J.
AU - Mihajlovic, B.
AU - Radin, A.
AU - Radovanovic, S.
AU - Krotin, M.
AU - Klabnik, A.
AU - Pernicky, M.
AU - Murin, J.
AU - Kovar, F.
AU - Kmec, J.
AU - Semjanova, H.
AU - Strasek, M.
AU - Savnik Iskra, M.
AU - Ravnikar, T.
AU - Cernic Suligoj, N.
AU - Komel, J.
AU - Fras, Z.
AU - Jug, B.
AU - Glavic, T.
AU - Losic, R.
AU - Bombek, M.
AU - Krajnc, I.
AU - Krunic, B.
AU - Horvat, S.
AU - Kovac, D.
AU - Rajtman, D.
AU - Cencic, V.
AU - Letonja, M.
AU - Winkler, R.
AU - Valentincic, M.
AU - Melihen-Bartolic, C.
AU - Bartolic, A.
AU - Pusnik Vrckovnik, M.
AU - Kladnik, M.
AU - Slemenik Pusnik, C.
AU - Marolt, A.
AU - Klen, J.
AU - Drnovsek, B.
AU - Leskovar, B.
AU - Fernandez Anguita, M.J.
AU - Gallego Page, J.C.
AU - Salmeron Martinez, F.M.
AU - Andres, J.
AU - Genis, A.B.
AU - Mirabet, S.
AU - Mendez, A.
AU - Garcia-Cosio, L.
AU - Roig, E.
AU - Leon, V.
AU - Gonzalez-Costello, J.
AU - Muntane, G.
AU - Garay, A.
AU - Alcade-Martinez, V.
AU - Lopez Fernandez, S.
AU - Rivera-Lopez, R.
AU - Puga-Martinez, M.
AU - Fernandez-Alvarez, M.
AU - Serrano-Martinez, J.L.
AU - Grille-Cancela, Z.
AU - Marzoa-Rivas, R.
AU - Blanco-Canosa, P.
AU - Paniagua-Martin, M.J.
AU - Barge-Caballero, E.
AU - Laynez Cerdena, I.
AU - Famara Hernandez Baldomero, I.
AU - Lara Padron, A.
AU - Ofelia Rosillo, S.
AU - Dalmau Gonzalez-Gallarza, R.
AU - Salvador Montanes, O.
AU - Iniesta Manjavacas, A.M.
AU - Castro Conde, A.
AU - Araujo, A.
AU - Soria, T.
AU - Garcia-Pavia, P.
AU - Gomez-Bueno, M.
AU - Cobo-Marcos, M.
AU - Alonso-Pulpon, L.
AU - Segovia Cubero, J.
AU - Sayago, I.
AU - Gonzalez-Segovia, A.
AU - Briceno, A.
AU - Escribano Subias, P.
AU - Vicente Hernandez, M.
AU - Ruiz Cano, M.J.
AU - Gomez Sanchez, M.A.
AU - Barrios Garrido-Lestache, E.
AU - Garcia Pinilla, J.M.
AU - Garcia de la Villa, B.
AU - Sahuquillo, A.
AU - Bravo Marques, R.
AU - Torres Calvo, F.
AU - Perez-Martinez, M.T.
AU - Gracia-Rodenas, M.R.
AU - Garrido-Bravo, I.P.
AU - Pastor-Perez, F.
AU - Pascual-Figal, D.A.
AU - Diaz Molina, B.
AU - Orus, J.
AU - Epelde Gonzalo, F.
AU - Bertomeu, V.
AU - Valero, R.
AU - Martinez-Abellan, R.
AU - Quiles, J.
AU - Rodrigez-Ortega, J.A.
AU - Mateo, I.
AU - ElAmrani, A.
AU - Fernandez-Vivancos, C.
AU - Bierge Valero, D.
AU - Almenar-Bonet, L.
AU - Sanchez-Lazaro, I.J.
AU - Marques-Sule, E.
AU - Facila-Rubio, L.
AU - Perez-Silvestre, J.
AU - Garcia-Gonzalez, P.
AU - Ridocci-Soriano, F.
AU - Garcia-Escriva, D.
AU - Pellicer-Cabo, A.
AU - de la Fuente Galan, L.
AU - Lopez Diaz, J.
AU - Recio Platero, A.
AU - Arias, J.C.
AU - Blasco-Peiro, T.
AU - Sanz Julve, M.
AU - Sanchez-Insa, E.
AU - Aured-Guallar, C.
AU - Portoles-Ocampo, A.
AU - Melin, M.
AU - Hägglund, E.
AU - Stenberg, A.
AU - Lindahl, I.-M.
AU - Asserlund, B.
AU - Olsson, L.
AU - Afzelius, M.
AU - Karlström, P.
AU - Tengvall, L.
AU - Wiklund, P.-A.
AU - Olsson, B.
AU - Kalayci, S.
AU - Cavusoglu, Y.
AU - Gencer, E.
AU - Yilmaz, M.B.
AU - Gunes, H.
N1 - Cited By :6 Export Date: 30 January 2019 Correspondence Address: Maggioni, A.P.; ANMCO Research Center, Via La Marmora, 34, Italy; email: amaggioni@escardio.org Chemicals/CAS: creatinine, 19230-81-0, 60-27-5 References: Howlett, J.G., Should we perform a heart failure risk score? (2013) Circulation Heart failure, 6, pp. 4-5; Levy, W.C., Mozaffarian, D., Linker, D.T., The Seattle Heart Failure Model: prediction of survival in heart failure (2006) Circulation, 113, pp. 1424-1433; Aaronson, K.D., Cowger, J., Heart failure prognostic models: why bother? (2012) Circulation Heart failure, 5, pp. 6-9; Steyerberg, E.W., Moons, K.G., van der Windt, D.A., Prognosis Research Strategy (PROGRESS) 3: prognostic model research (2013) PLoS Med, 10, p. e1001381; Allen, L.A., Matlock, D.D., Shetterly, S.M., Use of risk models to predict death in the next year among individual ambulatory patients with heart failure (2017) JAMA Cardiol, 2, pp. 435-441; Alba, A.C., Agoritsas, T., Jankowski, M., Risk prediction models for mortality in ambulatory patients with heart failure: a systematic review (2013) Circ Heart Fail, 6, pp. 881-889; Barlera, S., Tavazzi, L., Franzosi, M.G., Predictors of mortality in 6975 patients with chronic heart failure in the Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico-Heart Failure trial: proposal for a nomogram (2013) Circ Heart Fail, 6, pp. 31-39; Pocock, S.J., Ariti, C.A., McMurray, J.J., Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies (2013) Eur Heart J, 34, pp. 1404-1413; Sartipy, U., Dahlstrom, U., Edner, M., Lund, L.H., Predicting survival in heart failure: validation of the MAGGIC heart failure risk score in 51,043 patients from the Swedish heart failure registry (2014) Eur J Heart Fail, 16, pp. 173-179; Crespo-Leiro, M.G., Anker, S.D., Maggioni, A.P., European Society of Cardiology Heart Failure Long-Term Registry (ESC-HF-LT): 1-year follow-up outcomes and differences across regions (2016) Eur J Heart Fail, 18, pp. 613-625; Maggioni, A.P., Anker, S.D., Dahlstrom, U., 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 (2013) Eur J Heart Fail, 15, pp. 1173-1184; Canepa, M., Straburzynska-Migaj, E., Drozdz, J., Characteristics, treatments and 1-year prognosis of hospitalized and ambulatory heart failure patients with chronic obstructive pulmonary disease in the European Society of Cardiology Heart Failure Long-Term Registry (2018) Eur J Heart Fail, 20, pp. 100-110; Pocock, S.J., Wang, D., Pfeffer, M.A., Predictors of mortality and morbidity in patients with chronic heart failure (2006) Eur Heart J, 27, pp. 65-75; Agostoni, P., Corra, U., Cattadori, G., Metabolic exercise test data combined with cardiac and kidney indexes, the MECKI score: a multiparametric approach to heart failure prognosis (2013) Int J Cardiol, 167, pp. 2710-2718; O'Connor, C.M., Whellan, D.J., Wojdyla, D., Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction: the HF-ACTION predictive risk score model (2012) Circ Heart Fail, 5, pp. 63-71; Collier, T.J., Pocock, S.J., McMurray, J.J., The impact of eplerenone at different levels of risk in patients with systolic heart failure and mild symptoms: insight from a novel risk score for prognosis derived from the EMPHASIS-HF trial (2013) Eur Heart J, 34, pp. 2823-2829; Senni, M., Parrella, P., De Maria, R., Predicting heart failure outcome from cardiac and comorbid conditions: the 3C-HF score (2013) Int J Cardiol, 163, pp. 206-211; Kober, L., Thune, J.J., Nielsen, J.C., Defibrillator implantation in patients with nonischemic systolic heart failure (2016) N Engl J Med, 375, pp. 1221-1230; McMurray, J.J., Packer, M., Desai, A.S., Angiotensin-neprilysin inhibition versus enalapril in heart failure (2014) N Engl J Med, 371, pp. 993-1004; Halliday, B.P., Cleland, J.G.F., Goldberger, J.J., Prasad, S.K., Personalizing risk stratification for sudden death in dilated cardiomyopathy: the past, present, and future (2017) Circulation, 136, pp. 215-231; Mozaffarian, D., Anker, S.D., Anand, I., Prediction of mode of death in heart failure: the Seattle Heart Failure Model (2007) Circulation, 116, pp. 392-398; Shen, L., Jhund, P.S., Petrie, M.C., Declining risk of sudden death in heart failure (2017) N Engl J Med, 377, pp. 41-51; Vaduganathan, M., Patel, R.B., Michel, A., Mode of death in heart failure with preserved ejection fraction (2017) J Am Coll Cardiol, 69, pp. 556-569; Moons, K.G., Royston, P., Vergouwe, Y., Grobbee, D.E., Altman, D.G., Prognosis and prognostic research: what, why, and how? (2009) BMJ, 338, p. b375; Lagu, T., Pekow, P.S., Shieh, M.S., Validation and comparison of seven mortality prediction models for hospitalized patients with acute decompensated heart failure (2016) Circ Heart Fail, 9, p. e002912; Maggioni, A.P., Orso, F., Calabria, S., The real-world evidence of heart failure: findings from 41 413 patients of the ARNO database (2016) Eur J Heart Fail, 18, pp. 402-410; Pfeffer, M.A., Swedberg, K., Granger, C.B., Effects of candesartan on mortality and morbidity in patients with chronic heart failure: the CHARM-Overall programme (2003) Lancet, 362, pp. 759-766; The survival of patients with heart failure with preserved or reduced left ventricular ejection fraction: an individual patient data meta-analysis (2012) Eur Heart J, 33, pp. 1750-1757; Packer, M., O'Connor, C.M., Ghali, J.K., Effect of amlodipine on morbidity and mortality in severe chronic heart failure. Prospective Randomized Amlodipine Survival Evaluation Study Group (1996) N Engl J Med, 335, pp. 1107-1114
PY - 2018
Y1 - 2018
N2 - 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. © 2018 American College of Cardiology Foundation
AB - 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. © 2018 American College of Cardiology Foundation
KW - heart failure
KW - mortality
KW - prognosis
KW - risk score
KW - creatinine
KW - adult
KW - age
KW - aged
KW - all cause mortality
KW - area under the curve
KW - Article
KW - Candesartan in Heart Failure Assessment of Reduction in Mortality
KW - clinical feature
KW - controlled study
KW - creatinine blood level
KW - Eplerenone in Mild Patients Hospitalization and Survival Study in Heart Failure
KW - female
KW - follow up
KW - Gruppo Italiano per lo Studio della Streptochinasi nell Infarto Miocardico Heart Failure
KW - Heart Failure and A Controlled Trial Investigating Outcomes of Exercise Training
KW - heart left ventricle ejection fraction
KW - hospitalization
KW - human
KW - intermethod comparison
KW - ischemic heart disease
KW - major clinical study
KW - male
KW - measurement accuracy
KW - measurement precision
KW - medical history
KW - Meta analysis Global Group in Chronic Heart Failure
KW - Metabolic Exercise Cardiac Kidney Index
KW - middle aged
KW - prediction
KW - priority journal
KW - prognostic assessment
KW - Prognostic Risk Score
KW - register
KW - Seattle Heart Failure Model
KW - survival
KW - systolic blood pressure
U2 - 10.1016/j.jchf.2018.02.001
DO - 10.1016/j.jchf.2018.02.001
M3 - Article
VL - 6
SP - 452
EP - 462
JO - JACC: Heart Failure
JF - JACC: Heart Failure
SN - 2213-1779
IS - 6
ER -