Development and validation of an acute heart failure-specific mortality predictive model based on administrative data

Canadian Journal of Cardiology

Volumn 29, Issue 9, 2013, Pages 1055-1061

  Sasaki, Noriko ^a   Lee, Jason ^a   Park, Sungchul ^a   Umegaki, Takeshi ^a   Kunisawa, Susumu ^a   Otsubo, Tetsuya ^a   Ikai, Hiroshi ^a   Imanaka, Yuichi ^a  

^a KYOTO UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART FAILURE; ADULT; AGED; ARTICLE; CARDIAC PATIENT; CARDIOVASCULAR MORTALITY; CHRONIC KIDNEY FAILURE; FEMALE; HEART FIBRILLATION; HOSPITAL PATIENT; HUMAN; HYPERTENSION; ISCHEMIC HEART DISEASE; MAJOR CLINICAL STUDY; MALE; NEW YORK HEART ASSOCIATION CLASS; PREDICTIVE VALUE; RESPIRATORY FAILURE; RISK ASSESSMENT; SINUS ARREST; VALIDATION PROCESS;

ACUTE DISEASE; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HEART FAILURE; HOSPITAL MORTALITY; HUMANS; JAPAN; MALE; MIDDLE AGED; MODELS, STATISTICAL; QUALITY OF HEALTH CARE; RISK FACTORS; YOUNG ADULT;

EID: 84882815543     PISSN: 0828282X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cjca.2012.11.021     Document Type: Article

References (26)

1. Lee D.S., Austin P.C., Rouleau J.L., Liu P.P., Naimark D., Tu J.V. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA 2003, 290:2581-2587.
2. Weintraub N., Collins S., Pang P., et al. Acute heart failure syndromes. Circulation 2010, 122:1975-1996.
3. Fonarow G.C. Epidemiology and risk stratification in acute heart failure. Am Heart J 2008, 155:200-207.
4. Abraham W.T., Fonarow G.C., Albert N.M., et al. Predictors of in-hospital mortality in patients hospitalized for heart failure: insights from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). JAm Coll Cardiol 2008, 52:347-356.
5. Adams K.F., Fonarow G.C., Emerman C.L., et al. Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J 2005, 149:209-216.
6. Nieminen M.S., Brutsaert D., Dickstein K., 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.
7. Sato N., Kajimoto K., Asai K., et al. Acute decompensated heart failure syndromes (ATTEND) registry. A prospective observational multicenter cohort study: rationale, design, and preliminary data. Am Heart J 2010, 159:949-955.e1.
8. Dickstein K., Cohen-Solal A., Filippatos G., et al. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2008. Eur J Heart Fail 2008, 10:933-989.
9. Dai S., Walsh P., Wielgosz A., Gurevich Y., Bancej C., Morrison H. Comorbidities and mortality associated with hospitalized heart failure in Canada. Can J Cardiol 2012, 28:74-79.
10. Iezzoni L. Risk Adjustment for Measuring Health Care Outcomes 2003, Health Administration Press, Chicago. 4th Ed.
11. Hayashida K., Imanaka Y., Sekimoto M., Kobuse H., Fukuda H. Evaluation of acute myocardial infarction in-hospital mortality using a risk-adjustment model based on Japanese administrative data. JInt Med Res 2007, 35:590-596.
12. Hamada H., Sekimoto M., Imanaka Y. Effects of the per diem prospective payment system with DRG-like grouping system (DPC/PDPS) on resource usage and healthcare quality in Japan. Health Policy 2012, 107:194-201.
13. Harrell F.E., Lee K.L., Mark D.B. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996, 15:361-387.
14. Steyerberg E.W. Clinical Prediction Models 2012, Springer, Lexington.
15. Lemeshow S., Hosmer D.W. Areview of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol 1982, 115:92-106.
16. Pine M. Measuring and managing clinical outcomes. The Managed Healthcare Handbook 2001, 556-578. Aspen Publishers, Maryland. P.R. Kongstvedt (Ed.).
17. Rohde L.E., Goldraich L., Polanczyk C.A., et al. Asimple clinically based predictive rule for heart failure in-hospital mortality. JCard Fail 2006, 12:587-593.
18. Pine M., Jordan H.S., Elixhauser A., et al. Enhancement of claims data to improve risk adjustment of hospital mortality. JAMA 2007, 297:71-76.
19. Senni M, Parrella P, De Maria R, etal. Predicting heart failure outcome from cardiac and comorbid conditions: the 3C-HF score. Int J Cardiol 2013;163:206-11.
20. Felšöci M., Pařenica J., Spinar J., et al. Does previous hypertension affect outcome in acute heart failure?. Eur J Intern Med 2011, 22:591-596.
21. Gheorghiade M., Abraham W.T., Albert N.M., et al. Systolic blood pressure at admission, clinical characteristics, and outcomes in patients hospitalized with acute heart failure. JAMA 2006, 296:2217-2226.
22. Rossi J.S., Flaherty J.D., Fonarow G.C., et al. Influence of coronary artery disease and coronary revascularization status on outcomes in patients with acute heart failure syndromes: a report from OPTIMIZE-HF. Eur J Heart Fail 2008, 10:1215-1223.
23. Rivero-Ayerza M., Scholte Op Reimer W., Lenzen M., et al. New-onset atrial fibrillation is an independent predictor of in-hospital mortality in hospitalized heart failure patients: results of the EuroHeart Failure Survey. Eur Heart J 2008, 29:1618-1624.
24. Holstein J., Taright N., Lepage E., et al. Quality of medical database to valorize the DRG model by ISA cost indicators. Rev Epidemiol Sante Publique 2002, 50:593-603. [in French].
25. Krumholz H.M., Wang Y., Mattera J.A., et al. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure. Circulation 2006, 113:1693-1701.
26. Tabak Y.P., Johannes R.S., Silber J.H. Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance. Med Care 2007, 45:789-805.