Mortality and cardiovascular morbidity within 30 days of discharge following acute coronary syndrome in a contemporary European cohort of patients: How can early risk prediction be improved? The six-month GRACE risk score

Revista Portuguesa de Cardiologia

Volumn 34, Issue 6, 2015, Pages 383-391

  Raposeiras Roubín, Sergio ^a   Abu Assi, Emad ^a   Cambeiro González, Cristina ^a   Álvarez Álvarez, Belén ^a   Pereira López, Eva ^a   Gestal Romaní, Santiago ^a   Pedreira López, Milagros ^a   Rigueiro Veloso, Pedro ^a   Virgós Lamela, Alejandro ^a   García Acuña, José María ^a   González Juanatey, José Ramón ^a  

^a Instituto de Salud Carlos III   (Spain)

Author keywords

30 day events; GRACE risk score; Heart failure; Mortality; Reinfarction; Stroke

Indexed keywords

ACUTE CORONARY SYNDROME; ADULT; AGED; ARTICLE; ASSESSMENT OF HUMANS; CARDIOVASCULAR MORTALITY; CARDIOVASCULAR RISK; CEREBROVASCULAR ACCIDENT; COHORT ANALYSIS; FEMALE; GRACE RISK SCORE; HEART FAILURE; HEART REINFARCTION; HIGH RISK PATIENT; HOSPITAL DISCHARGE; HOSPITAL READMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MORBIDITY; PREDICTIVE VALUE; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; CARDIOVASCULAR DISEASES; COMPLICATION; EUROPE; MIDDLE AGED; MORTALITY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; TIME FACTOR; VERY ELDERLY;

ACUTE CORONARY SYNDROME; AGED; AGED, 80 AND OVER; CARDIOVASCULAR DISEASES; EUROPE; FEMALE; HUMANS; MALE; MIDDLE AGED; PATIENT DISCHARGE; PATIENT READMISSION; RETROSPECTIVE STUDIES; RISK ASSESSMENT; TIME FACTORS;

EID: 84937628642     PISSN: 08702551     EISSN: 21742030     Source Type: Journal    
DOI: 10.1016/j.repc.2014.11.020     Document Type: Article

References (24)

1. A.F. Hernandez, and C.B. Granger Prediction is very hard, especially about the future. Comment on "factors associated with 30-day readmission rates after percutaneous coronary intervention" Arch Intern Med 172 2012 117 119
2. F.J. Khawaja, N.D. Shah, R.J. Lennon, and et al. Factors associated with 30-day readmission rates after percutaneous coronary intervention Arch Intern Med 172 2012 112 117
3. J.H. Wasfy, K. Rosenfield, K. Zelevinsky, and et al. A prediction model to identify patients at high risk for 30-day readmission after percutaneous coronary intervention Circ Cardiovasc Qual Outcomes 6 2013 429 435
4. A.K. Rao, C. Pratt, A. Berke, and et al. Thrombolysis in myocardial infarction (TIMI) trial-phase I: hemorrhagic manifestations and changes in plasma fibrinogen and the fibrinolytic system in patients treated with recombinant tissue plasminogen activator and streptokinase J Am Coll Cardiol 11 1988 1 11
5. K.A. Eagle, M.J. Lim, O.H. Dabbous, and et al. A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry J Am Med Assoc 291 2004 2727 2733
6. C.B. Granger, R.J. Goldberg, O. Dabbous, and et al. Predictors of hospital mortality in the global registry of acute coronary events Arch Intern Med 163 2003 2345 2353
7. S. Lemeshow, and D.W. Hosmer Jr. A review of goodness of fit statistics for use in the development of logistic regression models Am J Epidemiol 115 1982 92 106
8. J.A. Hanley, and B.J. McNeil The meaning and use of the area under a receiver operating characteristic (ROC) curve Radiology 143 1982 29 36
9. K.A. Fox, K.F. Carruthers, D.R. Dunbar, and et al. Underestimated and under-recognized: the late consequences of acute coronary syndrome (GRACE UK-Belgian Study) Eur Heart J 31 2010 2755 2764
10. R.D. Kociol, R.D. Lopes, R. Clare, and et al. International variation in and factors associated with hospital readmission after myocardial infarction J Am Med Assoc 307 2012 66 74
11. J.P. Curtis, G. Schreiner, Y. Wang, and et al. All-cause readmission and repeat revascularization after percutaneous coronary intervention in a cohort of Medicare patients J Am Coll Cardiol 54 2009 903 907
12. M.M. Desai, B.D. Stauffer, H.H. Feringa, and et al. Statistical models and patient predictors of readmission for acute myocardial infarction: a systematic review Circ Cardiovasc Qual Outcomes 2 2009 500 507
13. K. Dharmarajan, A.F. Hsieh, Z. Lin, and et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia J Am Med Assoc 309 2013 355 363
14. G.W. Yost, S.L. Puher, J. Graham, and et al. Readmission in the 30 days after percutaneous coronary intervention JACC Cardiovasc Interv 6 2013 237 244
15. R. Wallmann, J. Llorca, I. Gomez-Acebo, and et al. Prediction of 30-day cardiac-related-emergency-readmissions using simple administrative hospital data Int J Cardiol 164 2013 193 200
16. M.J. Ricciardi, F. Selzer, O.C. Marroquin, and et al. Incidence and predictors of 30-day hospital readmission rate following percutaneous coronary intervention (from the National Heart, Lung, and Blood Institute Dynamic Registry) Am J Cardiol 110 2012 1389 1396
17. P.K. Lindenauer, T. Lagu, M.B. Rothberg, and et al. Income inequality and 30 day outcomes after acute myocardial infarction, heart failure, and pneumonia: retrospective cohort study Br Med J 346 2013 f521
18. H.M. Krumholz, Z. Lin, E.E. Drye, and et al. An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction Circ Cardiovasc Qual Outcomes 4 2011 243 252
19. A.T. Yan, R.T. Yan, M. Tan, A. Casanova, and et al. Risk scores for risk stratification in acute coronary syndromes: useful but simpler is not necessarily better Eur Heart J 28 2007 1072 1078
20. E. Abu-Assi, I. Ferreira-Gonzalez, A. Ribera, and et al. Do GRACE (Global Registry of Acute Coronary events) risk scores still maintain their performance for predicting mortality in the era of contemporary management of acute coronary syndromes? Am Heart J 160 2010 826 834 e821-823
21. S. Raposeiras-Roubin, E. Abu-Assi, P. Cabanas-Grandio, and et al. Walking beyond the GRACE (Global Registry of Acute Coronary Events) model in the death risk stratification during hospitalization in patients with acute coronary syndrome: what do the AR-G (ACTION [Acute Coronary Treatment and Intervention Outcomes Network] Registry and GWTG [Get With The Guidelines] Database), NCDR (National Cardiovascular Data Registry), and EuroHeart risk scores provide? JACC Cardiovasc Interv 5 2012 1117 1125
22. P. De Araujo Goncalves, J. Ferreira, C. Aguiar, and et al. TIMI, PURSUIT, and GRACE risk scores: sustained prognostic value and interaction with revascularization in NSTE-ACS Eur Heart J 26 2005 865 872
23. F. D'Ascenzo, G. Biondi-Zoccai, C. Moretti, and et al. TIMI, GRACE and alternative risk scores in acute coronary syndromes: a meta-analysis of 40 derivation studies on 216,552 patients and of 42 validation studies on 31,625 patients Contemp Clin Trials 33 2012 507 514
24. J. Donze, D. Aujesky, D. Williams, and et al. Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model JAMA Intern Med 173 2013 632 638