title: Factors that predict short-term complication rates after total hip arthroplasty.
abstract: BACKGROUND
  There remains uncertainty regarding the relative importance of patient factors such as comorbidity and provider factors such as hospital volume in predicting complication rates after total hip arthroplasty (THA).
  
  
  OBJECTIVE
  We therefore identified patient and provider factors predicting complications after THA.
  
  
  METHODS
  We reviewed discharge data from 138,399 patients undergoing primary THA in California from 1995 to 2005. The rate of complications during the first 90 days postoperatively (mortality, infection, dislocation, revision, perioperative fracture, neurologic injury, and thromboembolic disease) was regressed against a variety of independent variables, including patient factors (age, gender, race/ethnicity, income, Charlson comorbidity score) and provider variables (hospital volume, teaching status, rural location).
  
  
  RESULTS
  Compared with patients treated at high-volume hospitals (above the 20th percentile), patients treated at low-volume hospitals (below the 60th percentile) had a higher aggregate risk of having short-term complications (odds ratio, 2.00). A variety of patient factors also had associations with an increased risk of complications: increased Charlson comorbidity score, diabetes, rheumatoid arthritis, advanced age, male gender, and black race. Hispanic and Asian patients had lower risks of complications.
  
  
  CONCLUSIONS
  Patient and provider characteristics affected the risk of a short-term complication after THA. These results may be useful for educating patients and anticipating perioperative risks of THA in different patient populations.
  
  
  METHODS
  Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.
authors.affiliation: Department of Orthopaedic Surgery, UCLA School of Medicine, 10945 Le Conte Avenue, PVUB #3355, Los Angeles, CA 90095, USA. nsoohoo@mednet.ucla.edu
authors.forename: Nelson F
authors.initials: NF
authors.lastname: Soohoo
authors.forename: Eugene
authors.initials: E
authors.lastname: Farng
authors.forename: Jay R
authors.initials: JR
authors.lastname: Lieberman
authors.forename: Lauchlan
authors.initials: L
authors.lastname: Chambers
authors.forename: David S
authors.initials: DS
authors.lastname: Zingmond
mesh_terms: D000367:Age Factors; D000368:Aged; D019644:Arthroplasty, Replacement, Hip / Q000009:adverse effects* / Q000706:statistics & numerical data; D002140:California; D015897:Comorbidity; D005006:Ethnicity; D005260:Female; D006761:Hospitals / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D010351:Patient Discharge / Q000706:statistics & numerical data; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D013997:Time Factors; D016896:Treatment Outcome