title: A new casemix adjustment index for hospital mortality among patients with congestive heart failure.
abstract: OBJECTIVE
  Comparative analysis of hospital outcomes requires reliable adjustment for casemix. Although congestive heart failure is one of the most common indications for hospitalization, congestive heart failure casemix adjustment has not been widely studied. The purposes of this study were (1) to describe and validate a new congestive heart failure-specific casemix adjustment index to predict in-hospital mortality and (2) to compare its performance to the Charlson comorbidity index.
  
  
  METHODS
  Data from all 4,608 admissions to the Massachusetts General Hospital from January 1990 to July 1996 with a principal ICD-9-CM discharge diagnosis of congestive heart failure were evaluated. Massachusetts General Hospital patients were randomly divided in a derivation and a validation set. By logistic regression, odds ratios for in-hospital death were computed and weights were assigned to construct a new predictive index in the derivation set. The performance of the index was tested in an internal Massachusetts General Hospital validation set and in a non-Massachusetts General Hospital external validation set incorporating data from all 1995 New York state hospital discharges with a primary discharge diagnosis of congestive heart failure.
  
  
  RESULTS
  Overall in-hospital mortality was 6.4%. Based on the new index, patients were assigned to six categories with incrementally increasing hospital mortality rates ranging from 0.5% to 31%. By logistic regression, "c" statistics of the congestive heart failure-specific index (0.83 and 0.78, derivation and validation set) were significantly superior to the Charlson index (0.66). Similar incrementally increasing hospital mortality rates were observed in the New York database with the congestive heart failure-specific index ("c" statistics 0.75).
  
  
  CONCLUSIONS
  In an administrative database, this congestive heart failure-specific index may be a more adequate casemix adjustment tool to predict hospital mortality in patients hospitalized for congestive heart failure.
authors.affiliation: Heart Failure Center, Massachusetts General Hospital and Harvard Medical School, Boston 02114, USA. polanczyk.carisi@mgh.harvard.edu
authors.forename: C A
authors.initials: CA
authors.lastname: Polanczyk
authors.forename: L E
authors.initials: LE
authors.lastname: Rohde
authors.forename: E A
authors.initials: EA
authors.lastname: Philbin
authors.forename: T G
authors.initials: TG
authors.lastname: Di Salvo
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D015897:Comorbidity; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data*; D005260:Female; D006333:Heart Failure / Q000145:classification / Q000401:mortality*; D017052:Hospital Mortality; D006769:Hospitals, General / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008404:Massachusetts; D008875:Middle Aged; D009518:New York; D016017:Odds Ratio; D011379:Prognosis; D020379:Risk Adjustment; D016896:Treatment Outcome