Li. Iezzoni et al., PREDICTING IN-HOSPITAL DEATHS FROM CORONARY-ARTERY BYPASS GRAFT-SURGERY - DO DIFFERENT SEVERITY MEASURES GIVE DIFFERENT PREDICTIONS, Medical care, 36(1), 1998, pp. 28-39
OBJECTIVES. Severity-adjusted death rates for coronary artery bypass g
raft (CABG) surgery by provider are published throughout the country.
Whether five severity measures rated severity differently for identica
l patients was examined in this study. METHODS. Two severity measures
rate patients using clinical data taken from the first two hospital da
ys (MedisGroups, physiology scores); three use diagnoses and other inf
ormation coded on standard, computerized hospital discharge abstracts
(Disease Staging, Patient Management Categories, all patient refined d
iagnosis related groups). The database contained 7,764 coronary artery
bypass graft patients from 38 hospitals with 3.2% in-hospital deaths.
Logistic regression was performed to predict deaths from age, age squ
ared, sex, and severity scores, and c statistics from these regression
s were used to indicate model discrimination. Odds ratios of death pre
dicted by different severity measures were compared. RESULTS. Code-bas
ed measures had better c statistics than clinical measures: all patien
t refined diagnosis related groups, c = 0.83 (95% C.I. 0.81, 0.86) ver
sus MedisGroups, c = 0.73 (95% C.I. 0.70, 0.76). Code-based measures p
redicted very different odds of dying than clinical measures for more
than 30% of patients. Diagnosis codes indicting postoperative, life-th
reatening conditions may contribute to the superior predictive power o
f code-basedmeasures. CONCLUSIONS. Clinical and code-based severity me
asures predicted different odds of dying for many coronary artery bypa
ss graft patients. Although code-based measures had better statistical
performance, this may reflect their reliance on diagnosis codes for l
ife-threatening conditions occurring rate in the hospitalization, poss
ibly as complications of care. This compromises their utility for draw
ing inferences about quality of care based on severity-adjusted corona
ry artery bypass graft death rates.