A Risk Assessment Tool for Identifying Osteoporosis in Older Women with Type 2 Diabetes Mellitus.

IF 1.6 4区 医学 Q4 ENDOCRINOLOGY & METABOLISM Experimental and Clinical Endocrinology & Diabetes Pub Date : 2022-07-01 Epub Date: 2021-12-15 DOI:10.1055/a-1702-5168
Fenghui Pan, Wenxia Cui, Lei Gao, Xiaoting Shi, Mingrui Zhang, Man Li, Haiyan Yang, Yun Hu
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引用次数: 2

Abstract

Purpose: To develop a simple and clinically useful assessment tool for osteoporosis in older women with type 2 diabetes mellitus (T2DM).

Methods: A total of 601 women over 60 years of age with T2DM were enrolled in this study. The levels of serum sex hormones and bone metabolism markers were compared between the osteoporosis and non-osteoporosis groups. The least absolute shrinkage and selection operator regularization (LASSO) model was applied to generate a risk assessment tool. The risk score formula was evaluated using receiver operating characteristic analysis and the relationship between the risk score and the bone mineral density (BMD) and T-value were investigated.

Results: Serum sex hormone-binding globulin (SHBG), cross-linked C-telopeptide of type 1 collagen (CTX), and osteocalcin (OC) were significantly higher in the osteoporosis group. After adjustment for age and body mass index (BMI), SHBG was found to be correlated with the T-value or BMD. Then, a risk score was specifically generated with age, BMI, SHBG, and CTX using the LASSO model. The risk score was significantly negatively correlated with the T-value and BMD of the lumbar spine, femoral neck, and total hip (all P<0.05).

Conclusion: A risk score using age, BMI, SHBG, and CTX performs well for identifying osteoporosis in older women with T2DM.

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老年女性2型糖尿病骨质疏松症的风险评估工具
目的:为老年女性2型糖尿病(T2DM)患者骨质疏松症提供一种简单、实用的评估工具。方法:本研究共纳入601例60岁以上的2型糖尿病女性。比较骨质疏松组和非骨质疏松组血清性激素和骨代谢指标水平。采用最小绝对收缩和选择算子正则化(LASSO)模型生成风险评估工具。采用受试者操作特征分析对风险评分公式进行评价,并探讨风险评分与骨密度(BMD)和t值的关系。结果:骨质疏松组血清性激素结合球蛋白(SHBG)、1型胶原交联c端肽(CTX)、骨钙素(OC)明显升高。在调整年龄和体重指数(BMI)后,发现SHBG与t值或BMD相关。然后,使用LASSO模型,根据年龄、BMI、SHBG和CTX具体生成风险评分。风险评分与腰椎、股骨颈、全髋的t值、BMD呈显著负相关(均P0.05)。结论:使用年龄、BMI、SHBG和CTX的风险评分可以很好地识别老年女性T2DM患者的骨质疏松症。
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来源期刊
CiteScore
4.10
自引率
5.60%
发文量
72
审稿时长
3 months
期刊介绍: Publishing outstanding articles from all fields of endocrinology and diabetology, from molecular biology to clinical research, this journal is a brilliant resource. Since being published in English in 1983, the popularity of this journal has grown steadily, reflecting the importance of this publication within its field. Original contributions and short communications appear in each issue along with reviews addressing current topics. In addition, supplementary issues are published each year presenting abstracts or proceedings of national and international scientific meetings. The journal was initially published in German and is still the oldest endocrinological periodical in the German-language market!
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