Table 1 Variables used in binary logistic regression analysis
Variables Categories | Specific Variables |
|---|---|
Patient demographics | Age (≤80 years and＞80 years), sex (male and female), race (White, Black, Hispanic, Asian or Pacific Islander, Native American and Other) |
Hospital characteristics | Type of admission (non-elective, elective), bed size of hospital (small, medium, large), teaching status of hospital (nonteaching, teaching), location of hospital (rural, urban), location of the hospital (northeast, Midwest or north central, south, west) |
Comorbidities | AIDS, alcohol abuse,deficiency anemia, rheumatoid diseases, chronic blood loss anemia, congestive,heart failure, chronic pulmonary disease, coagulopathy, depression, diabetes (uncomplicated), diabetes (with chronic complications), drug abuse, hypertension, hypothyroidism, liver disease, lymphoma, fluid and electrolyte disorders,metastatic cancer, neurological disorders, obesity, paralysis, peripheral,vascular disorders, psychoses, pulmonary circulation disorders, renal failure,solid tumor without metastasis, peptic ulcer disease, valvular disease and weight loss |
Complications | cardiac arrest, hemorrhage/seroma/hematoma, stroke, postoperative shock, acute myocardial, infarction, deep vein thrombosis, continuous trauma ventilation, postoperative delirium, convulsion, urinary tract infections, gastrointestinal bleeding,thrombocytopenia, sepsis, dialysis, acute heart failure |