ORIGINAL RESEARCH article
Front. Med.
Sec. Geriatric Medicine
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1550525
Association between Creatinine Clearance and Mortality in Chinese Patients with Osteoporotic Fractures: A Retrospective Cohort Study
Provisionally accepted- 1Department of Orthopedics, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
- 2Kunshan Biomedical Big Data Innovation Application Laboratory, Jiangsu, China
- 3Information Department, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
- 4Kunshan municipal Health and Family Planning Information Center, Suzhou, Jiangsu, China
- 5Chronic disease department, Kunshan Center for Disease Control and Prevention, Suzhou, Jiangsu, China
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Background: Creatinine clearance (CCR) is a vital biomarker for evaluating renal function, indicating the efficiency of kidneys in filtering blood waste. However, the link between CCR and mortality in hospitalized patients with osteoporotic fractures (OPFs) remains unclear. The increasing prevalence of OPFs in elderly populations, coupled with known complications of renal dysfunction, underscores the critical importance of understanding this relationship. This study aimed to investigate the association between CCR levels and mortality in a cohort of hospitalized patients with OPF, with the goal of establishing evidence-based guidelines for risk stratification and management strategies.A retrospective cohort study analyzed data from 3,177 patients hospitalized with OPFs between December 6, 2018, and December 31, 2023. Multivariate Cox regression was used to evaluate the relationship between CCR and mortality while adjusting for potential confounding variables including laboratory parameters, clinical characteristics and lifestyle factors. Subgroup analyses, smoothed curve fitting with threshold analyses, Kaplan-Meier curves, and sensitivity analyses were performed.Results: A linear correlation between CCR and mortality was observed, with each 1-point increment in CCR correlating with a 2% reduction in mortality risk (hazard ratio (HR) = 0.98; 95% confidence interval (CI): 0.97, 0.98; P < 0.01). Patients were categorized into three groups based on CCR: Group 1 (CCR ≤ 80 ml/min), Group 2 (80 < CCR ≤ 120 ml/min), and Group 3 (CCR > 120 ml/min). Group 2 exhibited a 51% lower hazard of mortality than Group 1 (HR = 0.49, 95% CI: 0.34, 0.71; P < 0.01), while Group 3 showed an 87% reduction in mortality risk (HR = 0.13, 95% CI: 0.05, 0.36; P < 0.01).Subgroup analyses confirmed the robustness of these findings even after adjusting for other covariates.Linear association was detected using smoothed curve fitting and threshold analysis. Kaplan-Meier survival curves revealed a negative relationship between CCR levels and the cumulative mortality hazard. Sensitivity analyses demonstrated a stable direct association between CCR and the cumulative mortality hazard.This study demonstrated a significant association between CCR and mortality among hospitalized patients with OPFs, validating CCR as a valuable prognostic marker for assessing mortality risk.
Keywords: Creatinine clearance (Ccr), osteoporotic fractures (OPFs), Mortality, Renal function, prognostic marker
Received: 23 Dec 2024; Accepted: 10 Jul 2025.
Copyright: © 2025 Su, Zhou, Xu, Gong, Jin, Hu, Lu, Li and Yin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ke Lu, Department of Orthopedics, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
Chong Li, Department of Orthopedics, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
Yi Yin, Department of Orthopedics, Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
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