TABLE 4.
Multivariable Logistic Regression Model of Predictors of Pulmonary Embolism after Shoulder Arthroplasty
| Predictor | OR | 95% CI
|
P | |
|---|---|---|---|---|
| Lower | Upper | |||
| Age, per 10-year increase | 1.1 0 |
1.04 | 1.17 | 0.001 |
| Female sex (reference: male) | 0.9 8 |
0.85 | 1.13 | 0.776 |
| Race (reference: white) | ||||
| Black | 1.1 3 |
0.80 | 1.60 | 0.503 |
| Hispanic | 0.9 1 |
0.64 | 1.28 | 0.576 |
| Other | 0.7 1 |
0.44 | 1.14 | 0.156 |
| Insurance status (reference: private insurance) | ||||
| Medicare | 1.1 1 |
0.92 | 1.33 | 0.284 |
| Medicaid | 1.3 7 |
0.93 | 2.00 | 0.108 |
| Other | 1.1 9 |
0.86 | 1.64 | 0.286 |
| Days of care, per 1-day increase | 1.1 2 |
1.11 | 1.13 | <0.001 |
| TSA (reference: HSA) | 1.3 3 |
1.13 | 1.56 | <0.001 |
| Comorbidities (reference: absence of disease) | ||||
| Congestive heart failure | 1.4 9 |
1.20 | 1.84 | <0.001 |
| Ischemic heart disease | 0.4 5 |
0.30 | 0.68 | <0.001 |
| Chronic lung disease | 1.4 0 |
1.21 | 1.62 | <0.001 |
| Hypertension | 1.0 9 |
0.947 | 1.25 | 0.234 |
| Uncomplicated diabetes mellitus | 1.1 1 |
0.95 | 1.30 | 0.193 |
| Complicated diabetes mellitus | 0.3 3 |
0.17 | 0.65 | 0.001 |
| Liver disease | 0.3 5 |
0.17 | 0.72 | 0.004 |
| Obesity | 1.3 1 |
1.08 | 1.58 | 0.006 |
| Renal failure | 0.6 7 |
0.50 | 0.91 | 0.011 |
| Fluid and electrolyte disorders | 1.3 3 |
1.12 | 1.59 | 0.001 |
| Coagulopathy | 1.0 8 |
0.73 | 1.60 | 0.694 |
| Deficiency anemia | 1.8 4 |
1.57 | 2.15 | <0.001 |
| Primary diagnosis (reference: osteoarthrosis) | ||||
| Proximal humerus fracture | 2.4 3 |
2.02 | 2.92 | <0.001 |
| Avascular necrosis | 0.6 4 |
0.36 | 1.14 | 0.13 |
| Rheumatoid arthritis | 1.6 8 |
0.99 | 2.86 | 0.056 |
| Non-union of humerus fracture | 0.8 5 |
0.50 | 1.44 | 0.536 |
| Rotator cuff arthropathy | 0.7 8 |
0.59 | 1.02 | 0.072 |
| Other | 1.6 4 |
1.27 | 2.11 | <0.001 |
OR, odds ratio; CI, confidence interval; statistical significance set at p<0.05
Model fit: area under the ROC curve=0.84; Nagelkerke R-square= 0.11