These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 38804895)

  • 1. The Barcelona Bio-Heart Failure risk calculator may predict 1-year mortality in patients with advanced heart failure.
    Szczurek-Wasilewicz W; Skrzypek M; Karmański A; Jurkiewicz M; Gąsior M; Szyguła-Jurkiewicz B
    Pol Arch Intern Med; 2024 Aug; 134(7-8):. PubMed ID: 38804895
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Head-to-head comparison of contemporary heart failure risk scores.
    Codina P; Lupón J; Borrellas A; Spitaleri G; Cediel G; Domingo M; Simpson J; Levy WC; Santiago-Vacas E; Zamora E; Buchaca D; Subirana I; Santesmases J; Diez-Quevedo C; Troya MI; Boldo M; Altmir S; Alonso N; González B; Rivas C; Nuñez J; McMurray J; Bayes-Genis A
    Eur J Heart Fail; 2021 Dec; 23(12):2035-2044. PubMed ID: 34558158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of the heart failure risk scores in predicting 1 year mortality and short-term readmission of patients.
    Bo X; Zhang Y; Liu Y; Kharbuja N; Chen L
    ESC Heart Fail; 2023 Feb; 10(1):502-517. PubMed ID: 36325751
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Soluble ST2, BCN-Bio-HF calculator and MAGGIC-HF score in long-term risk prediction after an urgent visit for heart failure.
    Pérez-Sanz TM; Gómez-Salvador I; Codina P; Calvo Antón B; de la Torre Carpente MM; Redondo Bermejo B; Tapia Ballesteros C
    Heart Vessels; 2024 Mar; 39(3):216-225. PubMed ID: 37872307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Selecting patients for heart transplantation: comparison of the Heart Failure Survival Score (HFSS) and the Seattle heart failure model (SHFM).
    Goda A; Williams P; Mancini D; Lund LH
    J Heart Lung Transplant; 2011 Nov; 30(11):1236-43. PubMed ID: 21764604
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiparametric prognostic scores in chronic heart failure with reduced ejection fraction: a long-term comparison.
    Agostoni P; Paolillo S; Mapelli M; Gentile P; Salvioni E; Veglia F; Bonomi A; Corrà U; Lagioia R; Limongelli G; Sinagra G; Cattadori G; Scardovi AB; Metra M; Carubelli V; Scrutinio D; Raimondo R; Emdin M; Piepoli M; Magrì D; Parati G; Caravita S; Re F; Cicoira M; Minà C; Correale M; Frigerio M; Bussotti M; Oliva F; Battaia E; Belardinelli R; Mezzani A; Pastormerlo L; Guazzi M; Badagliacca R; Di Lenarda A; Passino C; Sciomer S; Zambon E; Pacileo G; Ricci R; Apostolo A; Palermo P; Contini M; Clemenza F; Marchese G; Gargiulo P; Binno S; Lombardi C; Passantino A; Filardi PP
    Eur J Heart Fail; 2018 Apr; 20(4):700-710. PubMed ID: 28949086
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The value of multiparametric prediction scores in heart failure varies with the type of follow-up after discharge: a comparative analysis.
    Rodrigues T; Agostinho JR; Santos R; Cunha N; Silvério António P; Couto Pereira S; Brito J; Valente Silva B; Silva P; Rigueira J; Pinto FJ; Brito D;
    ESC Heart Fail; 2023 Aug; 10(4):2550-2558. PubMed ID: 37309653
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Is it time for a cardiac allocation score? First results from the Eurotransplant pilot study on a survival benefit-based heart allocation.
    Smits JM; de Vries E; De Pauw M; Zuckermann A; Rahmel A; Meiser B; Laufer G; Reichenspurner H; Strueber M
    J Heart Lung Transplant; 2013 Sep; 32(9):873-80. PubMed ID: 23628111
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Utility of Pentraxin and Modified Prognostic Scales in Predicting Outcomes of Patients with End-Stage Heart Failure.
    Szczurek-Wasilewicz W; Skrzypek M; Romuk E; Gąsior M; Szyguła-Jurkiewicz B
    J Clin Med; 2022 May; 11(9):. PubMed ID: 35566693
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; Laroche C; Crespo-Leiro MG; Coats AJS; Mebazaa A; Piepoli MF; Tavazzi L; Maggioni AP;
    JACC Heart Fail; 2018 Jun; 6(6):452-462. PubMed ID: 29852929
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exercise Oscillatory Ventilation Improves Heart Failure Prognostic Scores.
    Gama F; Rocha B; Aguiar C; Strong C; Freitas P; Brízido C; Tralhão A; Durazzo A; Mendes M
    Heart Lung Circ; 2023 Aug; 32(8):949-957. PubMed ID: 37330375
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mortality Risk Prediction Dynamics After Heart Failure Treatment Optimization: Repeat Risk Assessment Using Online Risk Calculators.
    Codina P; Zamora E; Levy WC; Revuelta-López E; Borrellas A; Spitaleri G; Cediel G; Ruiz-Cueto M; Cañedo E; Santiago-Vacas E; Domingo M; Buchaca D; Subirana I; Santesmases J; de la Espriella R; Nuñez J; Lupón J; Bayes-Genis A
    Front Cardiovasc Med; 2022; 9():836451. PubMed ID: 35498033
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Performance of Prognostic Risk Scores in Elderly Chinese Patients with Heart Failure.
    Cheng Y; Chai K; Zhu W; Wan Y; Liang Y; Du M; Li Y; Sun N; Yang J; Wang H
    Clin Interv Aging; 2021; 16():1669-1677. PubMed ID: 34556979
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development of a novel heart failure risk tool: the barcelona bio-heart failure risk calculator (BCN bio-HF calculator).
    Lupón J; de Antonio M; Vila J; Peñafiel J; Galán A; Zamora E; Urrutia A; Bayes-Genis A
    PLoS One; 2014; 9(1):e85466. PubMed ID: 24454874
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Heart failure risk scores in advanced heart failure patients: insights from the LEVO-D registry.
    Codina P; Dobarro D; de Juan-Bagudá J; De Frutos F; Lupón J; Bayes-Genis A; Gonzalez-Costello J;
    ESC Heart Fail; 2023 Oct; 10(5):2875-2881. PubMed ID: 37991427
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing Palliative Care for Patients With Advanced Heart Failure Through Simple Prognostication Tools: A Comparison of the Surprise Question, the Number of Previous Heart Failure Hospitalizations, and the Seattle Heart Failure Model for Predicting 1-Year Survival.
    Blum M; Gelfman LP; McKendrick K; Pinney SP; Goldstein NE
    Front Cardiovasc Med; 2022; 9():836237. PubMed ID: 35479267
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Four-variable risk model in men and women with heart failure.
    Chyu J; Fonarow GC; Tseng CH; Horwich TB
    Circ Heart Fail; 2014 Jan; 7(1):88-95. PubMed ID: 24281135
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of renal dysfunction on the Seattle Heart Failure Model.
    Vakil KP; Dardas T; Dhar S; Moorman A; Anand I; Maggioni A; Linker DT; Mozaffarian D; Levy WC
    J Heart Lung Transplant; 2014 Feb; 33(2):163-9. PubMed ID: 24315784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metabolic exercise test data combined with cardiac and kidney indexes, the MECKI score: a multiparametric approach to heart failure prognosis.
    Agostoni P; Corrà U; Cattadori G; Veglia F; La Gioia R; Scardovi AB; Emdin M; Metra M; Sinagra G; Limongelli G; Raimondo R; Re F; Guazzi M; Belardinelli R; Parati G; Magrì D; Fiorentini C; Mezzani A; Salvioni E; Scrutinio D; Ricci R; Bettari L; Di Lenarda A; Pastormerlo LE; Pacileo G; Vaninetti R; Apostolo A; Iorio A; Paolillo S; Palermo P; Contini M; Confalonieri M; Giannuzzi P; Passantino A; Cas LD; Piepoli MF; Passino C;
    Int J Cardiol; 2013 Sep; 167(6):2710-8. PubMed ID: 22795401
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accuracy of Seattle Heart Failure Model and HeartMate II Risk Score in Non-Inotrope-Dependent Advanced Heart Failure Patients: Insights From the ROADMAP Study (Risk Assessment and Comparative Effectiveness of Left Ventricular Assist Device and Medical Management in Ambulatory Heart Failure Patients).
    Lanfear DE; Levy WC; Stehlik J; Estep JD; Rogers JG; Shah KB; Boyle AJ; Chuang J; Farrar DJ; Starling RC
    Circ Heart Fail; 2017 May; 10(5):. PubMed ID: 28465311
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.