Arthroplasty (Mar 2024)

The weight of complications: high and low BMI have disparate modes of failure in total hip arthroplasty

  • Jessica Schmerler,
  • Victoria E. Bergstein,
  • William ElNemer,
  • Andrew B. Harris,
  • Harpal S. Khanuja,
  • Uma Srikumaran,
  • Vishal Hegde

DOI
https://doi.org/10.1186/s42836-024-00233-7
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 7

Abstract

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Abstract Background Body mass index (BMI) has been shown to influence risk for revision total hip arthroplasty (rTHA), but few studies have specifically examined which causes of rTHA are most likely in different BMI classes. We hypothesized that patients in different BMI classes would undergo rTHA for disparate reasons. Methods Ninety-eight thousand six hundred seventy patients undergoing rTHA over 2006–2020 were identified in the National Inpatient Sample. Patients were classified as underweight, normal-weight, overweight/obese, or morbidly obese. Multivariable logistic regression was used to analyze the impact of BMI on rTHA for periprosthetic joint infection (PJI), dislocation, periprosthetic fracture (PPF), aseptic loosening, or mechanical complications. Analyses were adjusted for age, sex, race/ethnicity, socioeconomic status, insurance, geographic region, and comorbidities. Results Compared to normal-weight patients, underweight patients were 131% more likely to have a revision due to dislocation and 63% more likely due to PPF. Overweight/obese patients were 19% less likely to have a revision due to dislocation and 10% more likely due to PJI. Cause for revision in morbidly obese patients was 4s1% less likely to be due to dislocation, 8% less likely due to mechanical complications, and 90% more likely due to PJI. Conclusions Overweight/obese and morbidly obese patients were more likely to undergo rTHA for PJI and less likely for mechanical reasons compared to normal weight patients. Underweight patients were more likely to undergo rTHA for dislocation or PPF. Understanding the differences in cause for rTHA among the BMI classes can aid in patient-specific optimization and management to reduce postoperative complications. Level of evidence III.

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