Table 3.
Summary of Risk-Adjusted In-Hospital Mortality Models: Acute Myocardial Infarction
| Variable | Label | Odds Ratio (95% CI) | ||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | ||
| 3M ROM | Major vs. Mild or Moderate | 6.14*** (4.21–8.97) | 3.52 (2.37–5.24) | 3.39*** (2.28–5.06) |
| Extreme vs. Mild or Moderate | 42.24*** (29.33–60.85) | 17.35** (11.62–25.90) | 17.17*** (11.49–25.65) | |
| Gender | Male vs. Female | 1.07 (0.86–1.34) | 1.02 (0.82–1.28) | 1.04 (0.83–1.30) |
| Age (years) | 60–69 vs. < 60 | 1.74** (1.21–2.50) | 1.71** (1.19–2.47) | 1.77** (1.23–2.56) |
| 70–79 vs. <60 | 1.14 (0.78–1.66) | 1.13 (0.77–1.65) | 1.20 (0.82–1.76) | |
| ≥80 vs. <60 | 1.51* (1.08–2.10) | 1.70** (1.21–2.38) | 1.76** (1.23–2.56) | |
| Lab severity | Moderate vs. Mild | 1.52† (0.93–2.49) | 1.50 (0.91–2.46) | |
| Severe vs. Mild | 4.82*** (3.01–7.71) | 4.77*** (2.98–7.65) | ||
| Race/Ethnicity | Chinese vs. Caucasian | 1.51† (0.94–2.40) | ||
| Filipino vs. Caucasian | 0.85 (0.59–1.20) | |||
| Hawaiian vs. Caucasian | 1.51* (1.05–2.15) | |||
| Japanese vs. Caucasian | 1.33† (0.97–1.83) | |||
| Other Pacific Islander vs. Caucasian | 1.39 (0.80–2.42) | |||
| Other vs. Caucasian | 1.10 (0.69–1.74) | |||
| Summary Statistics | ||||
| AUC: mean ± SE (95% CI) | 0.844 ± 0.009 (0.827–0.863) | 0.868 ± 0.008 (0.852–0.884) | 0.872 ± 0.008 (0.856–0.887) | |
| (-2)*log likelihood | 2,365.44 | 2,269.08 | 2,254.99 | |
| Model d.f. | 6 | 8 | 14 | |
| Δχ2 | 763.92 | 96.36 | 14.09 | |
| p-value | <0.001 | <0.001 | 0.029 | |
| 10-fold Cross-Validation | ||||
| AUCcv: mean ± SD | 0.843 ± 0.021 | 0.864 ± 0.016 | 0.867 ± 0.017 | |
Notes: p < 0.10
p < 0.05
p < 0.01
p < 0.001.
Model 1 = 3M Risk of Mortality (ROM) + Gender + Age.
Model 2 = 3M ROM + Gender + Age + Lab Severity.
Model 3 = 3M ROM + Gender + Age + Lab Severity + Race/Ethnicity.
3M ROM = risk of mortality assigned by 3M based on administrative/claims data only.
Lab Severity = the total number of abnormalities from admission lab at last hospitalization (The number of lab abnormalities was categorized by tertiles with the minimum and maximum values: Mild = 0–4, Moderate = 5–8, and Severe = 9–24).
AUC = area under the curve of predicted values or c-statistic.
Δχ2 = difference in (-2)*log likelihood between models.
Model d.f. = the number of model parameters.
p-value = p-value of Chi-squared (or log likelihood) test between two models.
Model 1 was compared with the intercept-only model.
AUCcv = area under the curve of predicted values from 10 validation sets.