Analysis of risk factors and predictive efficacy of senile osteoporosis fracture based on biochemical indicators of bone metabolism

基于骨代谢生化指标的老年骨质疏松性骨折风险因素及预测效能分析

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Abstract

A total of 254 elderly OS patients diagnosed and treated in our hospital during May 2019 to April 2022 was randomly picked, of which 100 patients were finally enrolled. Patients were divided into OS fracture group and non-fracture group according to whether they had OS fracture. The contents of bone mineral density (BMD) and bone metabolism biochemical indexes, including Dickkopf1 (DKK-1), sclerostin (SOST), osteoprotegerin (OPG), osteopontin (OPN), osteocalcin (BGP) and 25 hydroxyvitamin D (25 (OH) D) were detected in lumbar L2č4 and left femoral greater trochanter. The correlation between bone metabolism and BMD was evaluated using Pearson analysis. The risk factors of OS fracture were analyzed using Multivariate logistic regression analysis. The predictive value of biochemical indexes of bone metabolism on the risk of OS fracture was analyzed using ROC curve.

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