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Table 1 Variables entered into the binary logistic regression analysis

From: Retrospective analysis of the occurrence, potential risk factors and medical significance of pulmonary complications after total shoulder arthroplasty from the National Inpatient Sample database (2010–2019)

Variables Categories

Specifc Variables

Patient demographics

Age (< 60 years and ≥ 60 years), sex (male and female), race (White, Black, Hispanic, Asian or Pacifc 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, defciency 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, fuid 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