Obesity Paradox in Joint Arthroplasty: A Cross-Sectional Study Highlighting the Predictive Power of Lean Mass on Self-Reported Health Status.

Abstract

The impact of obesity on the prognosis following joint arthroplasty is a topic of ongoing debate, with most existing studies focusing solely on body mass index (BMI) to describe obesity. However, increasing research challenges the rationale of using BMI thresholds to limit eligibility for joint arthroplasty. Furthermore, the association between body composition and various obesity-related indices with postoperative outcomes remains unclear among joint arthroplasty patients. Our study leveraged data from a national nutrition database spanning the years 1999 to 2004. Univariate analysis, weighted multivariate logistic regression, and restricted cubic spline were employed to analyze the association between multiple obesity-related indices and self-reported health of joint arthroplasty patients. Moreover, receiver operating characteristic curves were performed to assess the predictive capabilities of these indices. The analysis of data from 289 participants who have undergone joint arthroplasty revealed thought-provoking findings. Weighted multivariate logistic regression and restricted cubic spline indicated a negative correlation between BMI, waist circumference, weight, waist-to-height ratio, body roundness index, relative fat mass, total percent fat, total bone mineral content, and total lean excluding bone mineral content (lean mass) with poorer self-reported health status among men. The receiver operating characteristic analysis revealed that lean mass (area under the curve = 0.893, 95% confidence interval 0.835 to 0.951) exhibits the strongest predictive power for self-reported health in joint arthroplasty patients. As the first study to comprehensively investigate the relationship between body composition and various obesity-related indices with the outcomes of joint arthroplasty, our findings support the obesity paradox. Furthermore, we find that lean mass demonstrates the strongest predictive power for self-reported health in joint arthroplasty patients. When surgeons make decisions about arthroplasty, incorporating such metrics could reduce limitations of relying solely on BMI and thereby maximize the surgical benefits and opportunities for obese patients.