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<p>To examine the correlation of uric acid (UA) levels with all-cause mortality (ACM) among patients with osteoporotic fractures. This study recruited 417 patients with osteoporotic fractures from Dongyang People's Hospital, with admissions between January 1, 2017, and January 1, 2024. To appraise the link between UA levels and ACM, a Cox proportional hazards regression model was applied. A stratified analysis was carried out to examine variations in the link between UA and ACM in various subgroups. To assess the reliability of the findings, patients with diabetes were excluded to carry out a sensitivity analysis. Finally, a restricted cubic spline (RCS) analysis was executed to delve into the nonlinear relationship of UA levels with ACM. In total, 147 patients (35.3%) experienced ACM during an average follow-up period of 57.8&#xa0;months. Based on the multivariate Cox regression analysis, the risk of ACM was evidently greater in the high UA group. An independent connection of UA levels with ACM was noted. Based on the stratified analysis, the connection of UA levels with ACM was more pronounced among females, individuals younger than 80&#xa0;years, those aged 80&#xa0;years or older, patients without hypertension, and those not using antihypertensive drugs. Based on the sensitivity analysis, the link between UA and ACM remained robust even after excluding patients with diabetes. Furthermore, the RCS analysis indicated a noticeable nonlinear link between UA levels and ACM. UA levels serve as a distinct predictor of ACM among patients with osteoporotic fractures, with a noticeable nonlinear relationship noticed.</p>

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Link of uric acid with all-cause mortality among patients suffering from osteoporotic fractures

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  • 发表日期：

    2026年6月20日

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  • Shijv Chen,
  • Weichun Huang,
  • Zhihui Dai

摘要

To examine the correlation of uric acid (UA) levels with all-cause mortality (ACM) among patients with osteoporotic fractures. This study recruited 417 patients with osteoporotic fractures from Dongyang People's Hospital, with admissions between January 1, 2017, and January 1, 2024. To appraise the link between UA levels and ACM, a Cox proportional hazards regression model was applied. A stratified analysis was carried out to examine variations in the link between UA and ACM in various subgroups. To assess the reliability of the findings, patients with diabetes were excluded to carry out a sensitivity analysis. Finally, a restricted cubic spline (RCS) analysis was executed to delve into the nonlinear relationship of UA levels with ACM. In total, 147 patients (35.3%) experienced ACM during an average follow-up period of 57.8 months. Based on the multivariate Cox regression analysis, the risk of ACM was evidently greater in the high UA group. An independent connection of UA levels with ACM was noted. Based on the stratified analysis, the connection of UA levels with ACM was more pronounced among females, individuals younger than 80 years, those aged 80 years or older, patients without hypertension, and those not using antihypertensive drugs. Based on the sensitivity analysis, the link between UA and ACM remained robust even after excluding patients with diabetes. Furthermore, the RCS analysis indicated a noticeable nonlinear link between UA levels and ACM. UA levels serve as a distinct predictor of ACM among patients with osteoporotic fractures, with a noticeable nonlinear relationship noticed.