Factors That Predict Short-term Complication Rates After Total Hip Arthroplasty

BackgroundThere 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).PurposeWe therefore identified patient and provider factors predicting complications after THA.MethodsWe 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).ResultsCompared 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.ConclusionsPatient 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.Level of Evidence Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.

• Publication year

  2010

• Venue

  Clinical Orthopaedics and Related Research

• Publication date

  2010-04-29

• Fields of study

  Medicine

• Identifiers
  DOI 10.1007/s11999-010-1354-0PMID 20428982PMCID 2914297
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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