Risk of in-hospital mortality identified according to the typology of patients with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database-Main registry

Journal of Critical Care

Volumn 28, Issue 3, 2013, Pages 250-258

  Tomcikova, Daniela ^a   Felsoci, Marian ^a,b   Spinar, Jindrich ^a,b,c   Miklik, Roman ^a,c   Mikusova, Tereza ^a,c   Vitovec, Jiri ^a,c   Spinarova, Lenka ^a,c   Widimsky, Petr ^d   Linhart, Ales ^e   Belohlavek, Jan ^e   Fedorco, Marian ^f   Cihalik, Cestmir ^f   Malek, Filip ^g   Bambuch, Miroslav ^h   Vaclavik, Jan ^f   Kettner, Jiri ⁱ   Jarkovsky, Jiri ^a   Dusek, Ladislav ^a   Parenica, Jiri ^a,b,c  

^a MASARYK UNIVERSITY   (Czech Republic)

^b UNIVERSITY HOSPITAL BRNO   (Czech Republic)

^c ST ANNE S UNIVERSITY HOSPITAL   (Czech Republic)

^d CHARLES UNIVERSITY   (Czech Republic)

^e CHARLES UNIVERSITY   (Czech Republic)

^f UNIVERSITY HOSPITAL OLOMOUC   (Czech Republic)

^g NA HOMOLCE HOSPITAL   (Czech Republic)

^h Krajska Nemocnice T Bati as   (Czech Republic)

ⁱ INSTITUTE FOR CLINICAL AND EXPERIMENTAL MEDICINE   (Czech Republic)

Author keywords

Acute heart failure; AHEAD; Classification tree; In hospital mortality

Indexed keywords

CREATININE;

ACUTE CORONARY SYNDROME; ACUTE HEART FAILURE; AGED; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BRIER SCORE; CARDIOGENIC SHOCK; CLINICAL ASSESSMENT TOOL; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DATA ANALYSIS; DATA BASE; DISEASE ASSOCIATION; DISEASE CLASSIFICATION; DISEASE REGISTRY; FEMALE; HIGH RISK POPULATION; HOSPITAL ADMISSION; HOSPITAL PATIENT; HOSPITALIZATION; HUMAN; LOW RISK POPULATION; MAJOR CLINICAL STUDY; MALE; MORTALITY; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; RISK ASSESSMENT; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYSTOLIC BLOOD PRESSURE; VALIDATION STUDY;

AGED; AGED, 80 AND OVER; FEMALE; HEART FAILURE; HOSPITAL MORTALITY; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; REGISTRIES; RISK ASSESSMENT; RISK FACTORS;

EID: 84876870040     PISSN: 08839441     EISSN: 15578615     Source Type: Journal    
DOI: 10.1016/j.jcrc.2012.09.014     Document Type: Article

References (25)

1. Nieminen M.S., Böhm M., Cowie M.R., et al. Executive summary of the guidelines on the diagnosis and treatment of acute heart failure. Eur Heart J 2005, 26:384-416.
2. Task F.M., Dickstein K., Cohen-Solal A., et al. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008. Eur J Heart Fail 2008, 10:933-989.
3. Follath F., Yilmaz M., Delgado J., et al. Clinical presentation, management and outcomes in the Acute Heart Failure Global Survey of Standard Treatment (ALARM-HF). Intensive Care Med 2011, 37:619-626.
4. Siirilä-Waris K., Lassus J., Melin J., et al. Characteristics, outcomes, and predictors of 1-year mortality in patients hospitalized for acute heart failure. Eur Heart J 2006, 27:3011-3017.
5. Spinar J., Parenica J., Vitovec J., et al. Baseline characteristics and hospital mortality in the Acute Heart Failure Database (AHEAD) Main registry. Crit Care 2011, 15:R291.
6. Bouvy M.L., Heerdink E.R., Leufkens H.G.M., et al. Predicting mortality in patients with heart failure: a pragmatic approach. Heart 2003, 89:605-609.
7. Lee D.S., Austin P.C., Rouleau J.L., et al. Predicting mortality among patients hospitalized for heart failure. JAMA 2003, 290:2581-2587.
8. Levy W.C., Mozaffarian D., Linker D.T., et al. The Seattle Heart Failure Model. Circulation 2006, 113:1424-1433.
9. Pocock S.J., McMurray J.J.V., Dobson J., et al. Weight loss and mortality risk in patients with chronic heart failure in the candesartan in heart failure: assessment of reduction in mortality and morbidity (CHARM) programme. Eur Heart J 2008, 29:2641-2650.
10. Pocock S.J., Wang D., Pfeffer M.A., et al. Predictors of mortality and morbidity in patients with chronic heart failure. Eur Heart J 2006, 27:65-75.
11. Peterson P.N., Rumsfeld J.S., Liang L., et al. A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program. Circ Cardiovasc Qual Outcomes 2010, 3:25-32.
12. Breiman L, Friedman JH, Olshen RA et al. Classification and regression trees. Monterey, CA: Wadsworth & Brooks/Cole Advanced Books & Software ISBN 978-0412048418 1984.
13. Fonarow G.C., Adams K.F., Abraham W.T., et al. Risk stratification for in-hospital mortality in acutely decompensated heart failure. JAMA 2005, 293:572-580.
14. Arenja N., Breidthardt T., Socrates T., et al. Risk stratification for 1-year mortality in acute heart failure: classification and regression tree analysis. Swiss Med Wkly 2011, 141:w13259.
15. Austin P.C., Tu J.V., Lee D.S. Logistic regression has a superior performance compared with regression trees for predicting in-hospital mortality in patients hospitalized with heart failure. J Clin Epidemiol 2010, 63:1145-1155.
16. Austin P.C. A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality. Stat Med 2007, 26:2937-2957.
17. Harrell E.F. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. Springer Ser Stat 2001.
18. Ferro C.A.T. Comparing probabilistic forecasting systems with the Brier's score. Weather Forecast 2007, 22:1076-1088.
19. R Development Core Team.R: A language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. Available at: 2012. http://www.R-project.org/.
20. Nieminen M.S., Brutsaert D., Dickstein K., Drexler H., Follath F., Harjola V.P., et al. EuroHeart Failure Survey II (EHFS II): a survey on hospitalized acute heart failure patients: description of population. Eur Heart J 2006, 27:2725-2736.
21. Zannad F., Mebazaa A., Juillière Y., et al. Clinical profile, contemporary management and one-year mortality in patients with severe acute heart failure syndromes: The EFICA study. Eur J Heart Fail 2006, 8:697-705.
22. Ronco C., Haapio M., House A.A., et al. Cardiorenal syndrome. J Am Coll Cardiol 2008, 52:1527-1539.
23. Raphael C.E., Whinnett Z.I., Davies J.E., et al. Quantifying the paradoxical effect of higher systolic blood pressure on mortality in chronic heart failure. Heart 2009, 95:56-62.
24. Parissis J.T., Nikolaou M., Mebazaa A., et al. Acute pulmonary oedema: clinical characteristics, prognostic factors, and in-hospital management. Eur J Heart Fail 2010, 12:1193-1202.
25. Felsoci M., Parenica J., Spinar J., et al. Does previous hypertension affect outcome in acute heart failure?. Eur J Int Med 2011, 22:591-596.