Risk-standardizing survival for in-hospital cardiac arrest to facilitate hospital comparisons

Journal of the American College of Cardiology

Volumn 62, Issue 7, 2013, Pages 601-609

  Chan, Paul S ^a,b   Berg, Robert A ^c,d   Spertus, John A ^a,b   Schwamm, Lee H ^e   Bhatt, Deepak L ^f   Fonarow, Gregg C ^g   Heidenreich, Paul A ^h   Nallamothu, Brahmajee K ⁱ   Tang, Fengming ^b   Merchant, Raina M ^d  

^a SAINT LUKE S MID AMERICA HEART INSTITUTE   (United States)

^b UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

^c CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f HARVARD MEDICAL SCHOOL   (United States)

^g UCLA MEDICAL CENTER   (United States)

^h VA PALO ALTO HEALTH CARE SYSTEM   (United States)

ⁱ UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

cardiac arrest; risk adjustment; variation in care

Indexed keywords

HYPERTENSIVE AGENT;

ADULT; AGE; AGED; ARTICLE; ARTIFICIAL VENTILATION; COMORBIDITY; FEMALE; HEART ARREST; HEART VENTRICLE FIBRILLATION; HEART VENTRICLE TACHYCARDIA; HEMATOLOGIC MALIGNANCY; HOSPITAL PATIENT; HUMAN; HYPOTENSION; IN HOSPITAL CARDIAC ARREST; INTENSIVE CARE; LIVER FAILURE; MAJOR CLINICAL STUDY; MALE; METASTASIS; PRIORITY JOURNAL; PROGNOSIS; RACE DIFFERENCE; SEPTICEMIA; SURVIVAL PREDICTION; SURVIVAL RATE;

AHA; AMERICAN HEART ASSOCIATION; CARDIAC ARREST; DNR; DO NOT RESUSCITATE; GET WITH THE GUIDELINES; GWTG; RISK ADJUSTMENT; VARIATION IN CARE;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; CARDIOPULMONARY RESUSCITATION; FEMALE; HEART ARREST; HOSPITAL MORTALITY; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; PROGNOSIS; QUALITY OF HEALTH CARE; REGISTRIES; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK MANAGEMENT; SEX FACTORS; SURVIVAL ANALYSIS; UNITED STATES;

EID: 84881352607     PISSN: 07351097     EISSN: 15583597     Source Type: Journal    
DOI: 10.1016/j.jacc.2013.05.051     Document Type: Article

References (22)

1. R.M. Merchant, L. Yang, and L.B. Becker Incidence of treated cardiac arrest in hospitalized patients in the United States Crit Care Med 39 2011 2401 2406
2. P.S. Chan, G. Nichol, H.M. Krumholz, J.A. Spertus, and B.K. Nallamothu Hospital variation in time to defibrillation after in-hospital cardiac arrest Arch Intern Med 169 2009 1265 1273
3. H.M. Krumholz, R.G. Brindis, and J.E. Brush Standards for statistical models used for public reporting of health outcomes: an American Heart Association Scientific Statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group Circulation 113 2006 456 462
4. H.M. Krumholz, Y. Wang, and J.A. Mattera An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction Circulation 113 2006 1683 1692
5. H.M. Krumholz, Y. Wang, and J.A. Mattera An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure Circulation 113 2006 1693 1701
6. M.A. Peberdy, W. Kaye, and J.P. Ornato Cardiopulmonary resuscitation of adults in the hospital: a report of 14720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation Resuscitation 58 2003 297 308
7. R.O. Cummins, D. Chamberlain, and M.F. Hazinski Recommended guidelines for reviewing, reporting, and conducting research on in-hospital resuscitation: the in-hospital "Utstein style." American Heart Association Circulation 95 1997 2213 2239
8. I. Jacobs, V. Nadkarni, and J. Bahr Cardiac arrest and cardiopulmonary resuscitation outcome reports: update and simplification of the Utstein templates for resuscitation registries. A statement for healthcare professionals from a task force of the International Liaison Committee on Resuscitation (American Heart Association, European Resuscitation Council, Australian Resuscitation Council, New Zealand Resuscitation Council, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Councils of Southern Africa) Circulation 110 2004 3385 3397
9. S. Girotra, B.K. Nallamothu, J.A. Spertus, Y. Li, H.M. Krumholz, and P.S. Chan Trends in survival after in-hospital cardiac arrest N Engl J Med 367 2012 1912 1920
10. P.S. Chan, G. Nichol, and H.M. Krumholz Racial differences in survival after in-hospital cardiac arrest JAMA 302 2009 1195 1201
11. P.C. Austin Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research Comm Stat Sim Comput 38 2009 1228 1234
12. H. Goldstein Multilevel Statistical Models 1995 Edward Arnold London
13. D.A. Belsley, E. Kuh, and R.E. Welsch Regression Diagnostics: Identifying Influential Data and Sources of Collinearity 1980 John Wiley & Sons New York, NY
14. F.E. Harrell Logistic Regression and Survival Analysis Regression Modeling Strategies With Applications to Linear Models 2001 Springer-Verlag New York, NY
15. D.M. Shahian, D.F. Torchiana, R.J. Shemin, J.D. Rawn, and S.L. Normand Massachusetts cardiac surgery report card: implications of statistical methodology Ann Thorac Surg 80 2005 2106 2113
16. C.L. Christiansen, and C.N. Morris Improving the statistical approach to health care provider profiling Ann Intern Med 127 1997 764 768
17. S.L. Normand, M.E. Glickman, and C.A. Gatsonis Statistical methods for profiling providers of medical care: issues and applications J Am Stat Assoc 92 1997 803 814
18. R Development Core Team (2008). R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at: http://www.R-project.org.
19. G.L. Larkin, W.S. Copes, B.H. Nathanson, and W. Kaye Pre-resuscitation factors associated with mortality in 49,130 cases of in-hospital cardiac arrest: a report from the National Registry for Cardiopulmonary Resuscitation Resuscitation 81 2010 302 311
20. P.S. Chan, H.M. Krumholz, G. Nichol, and B.K. Nallamothu Delayed time to defibrillation after in-hospital cardiac arrest N Engl J Med 358 2008 9 17
21. P.C. Austin, J.V. Tu, and D.A. Alter Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently? Am Heart J 145 2003 27 35
22. P.S. Chan, and B.K. Nallamothu Improving outcomes following in-hospital cardiac arrest: life after death JAMA 307 2012 1917 1918