Table 1 Variables used in binary logistic regression analysis
Variables categories | Specific variables |
|---|---|
Patient demographics | Age (≤ 59 years and ≥ 60 years), race (White, Black, Hispanic, Asian or Pacific Islander, Native American and Other) |
Hospital characteristics | Type of insurance (Medicare, Medicaid, private insurance, self-pay, no charge, other), bed size of hospital (small, medium, large), teaching status of hospital (nonteaching, teaching), type of admission (non-elective, elective), location of hospital (rural, urban), location of the hospital (northeast, Midwest or north central, south, west) |
Comorbidities | Chronic blood loss anemia, depression, deficiency anemia, valvular disease, congestive heart failure, hypertension, lymphoma, drug abuse, diabetes, liver disease, fluid and electrolyte disorders, coagulopathy, metastatic cancer, other neurological disorders, peripheral vascular disorders, paralysis, obesity, psychoses, weight loss, solid tumor without metastasis, pulmonary circulation disorders, alcohol abuse, rheumatoid arthritis, hypothyroidism, renal failure, peptic ulcer disease, chronic pulmonary disease |
Complications | Urinary retention, gastrointestinal complications, continuous invasive Ventilation, pneumonia, deep vein thrombosis (DVT), urinary tract infection, blood transfusion, postoperative delirium (POD), arrhythmia, chest pain, nerve injury, wound rupture without healing, wound infection, hemorrhage |