2 型糖尿病患者骨质矿物质密度低的预测模型:一项观察性横断面研究。

IF 3 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Endocrine Pub Date : 2024-10-01 DOI:10.1007/s12020-023-03500-w
Cheng Ji, Jie Ma, Lingjun Sun, Xu Sun, Lijuan Liu, Lijun Wang, Weihong Ge, Yan Bi
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引用次数: 0

摘要

目的:考虑到 2 型糖尿病(T2D)的发病率,骨质疏松症应被视为一种严重的并发症。然而,目前还没有一种有效的工具来评估 T2D 患者的低骨质矿物质密度(BMD)。因此,我们的研究旨在通过探索 T2D 患者低骨矿物质密度的风险因素,建立一种简单易用的风险评估工具:这项研究包括 436 名低 BMD 患者和 381 名 BMD 正常的患者。采用多元逻辑回归分析评估 T2D 患者出现低 BMD 的风险因素。然后根据这些结果绘制了一个提名图。采用接收者操作特征曲线 (ROC) 、校准图和拟合优度检验来验证提名图。此外,还对提名图的临床实用性进行了评估:多变量逻辑回归表明,年龄、性别、教育程度、体重指数 (BMI)、空腹 C 肽、高密度胆固醇 (HDL)、碱性磷酸酶 (ALP)、估计肾小球滤过率 (eGFR) 和 I 型胶原羧基末端肽 (S-CTX) 是 T2D 患者低 BMD 的独立预测因素。使用未调整的曲线下面积 (AUC) 和引导校正的 AUC (0.828),根据这些变量绘制了提名图。校准图和拟合优度检验表明,提名图校准良好:结论:临床医生可利用显示的提名图模型轻松预测 T2D 患者的低 BMD 风险。我们的研究还发现,常见因素是低 BMD 风险的独立预测因素。我们的研究结果为预测、调查和促进 T2D 患者的低 BMD 提供了一种新策略。
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Prediction model for low bone mass mineral density in type 2 diabetes: an observational cross-sectional study.

Purpose: Considering the prevalence of type 2 diabetes (T2D), osteoporosis should be considered a serious complication. However, an effective tool for the assessment of low bone mass mineral density (BMD) in T2D patients is not currently available. Therefore, the aim of our study was to establish a simple-to-use risk assessment tool by exploring risk factors for low BMD in T2D patients.

Methods: This study included 436 patients with a low BMD and 381 patients with a normal BMD. Multiple logistic regression analysis was performed to evaluate risk factors for low BMD in T2D patients. A nomogram was then developed from these results. A receiver operating characteristic (ROC) curve, calibration plot, and goodness-of-fit test were used to validate the nomogram. The clinical utility of the nomogram was also assessed.

Results: Multivariate logistic regression indicated that age, sex, education, body mass index (BMI), fasting C-peptide, high-density cholesterol (HDL), alkaline phosphatase (ALP), estimated glomerular filtration rate (eGFR), and type I collagen carboxy terminal peptide (S-CTX) were independent predictors for low BMD in T2D patients. The nomogram was developed from these variables using both the unadjusted area under the curve (AUC) and the bootstrap-corrected AUC (0.828). Calibration plots and the goodness-of-fit test demonstrated that the nomogram was well calibrated.

Conclusions: The nomogram-illustrated model can be used by clinicians to easily predict the risk of low BMD in T2D patients. Our study also revealed that common factors are independent predictors of low BMD risk. Our results provide a new strategy for the prediction, investigation, and facilitation of low BMD in T2D patients.

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来源期刊
Endocrine
Endocrine ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
5.40%
发文量
295
审稿时长
1.5 months
期刊介绍: Well-established as a major journal in today’s rapidly advancing experimental and clinical research areas, Endocrine publishes original articles devoted to basic (including molecular, cellular and physiological studies), translational and clinical research in all the different fields of endocrinology and metabolism. Articles will be accepted based on peer-reviews, priority, and editorial decision. Invited reviews, mini-reviews and viewpoints on relevant pathophysiological and clinical topics, as well as Editorials on articles appearing in the Journal, are published. Unsolicited Editorials will be evaluated by the editorial team. Outcomes of scientific meetings, as well as guidelines and position statements, may be submitted. The Journal also considers special feature articles in the field of endocrine genetics and epigenetics, as well as articles devoted to novel methods and techniques in endocrinology. Endocrine covers controversial, clinical endocrine issues. Meta-analyses on endocrine and metabolic topics are also accepted. Descriptions of single clinical cases and/or small patients studies are not published unless of exceptional interest. However, reports of novel imaging studies and endocrine side effects in single patients may be considered. Research letters and letters to the editor related or unrelated to recently published articles can be submitted. Endocrine covers leading topics in endocrinology such as neuroendocrinology, pituitary and hypothalamic peptides, thyroid physiological and clinical aspects, bone and mineral metabolism and osteoporosis, obesity, lipid and energy metabolism and food intake control, insulin, Type 1 and Type 2 diabetes, hormones of male and female reproduction, adrenal diseases pediatric and geriatric endocrinology, endocrine hypertension and endocrine oncology.
期刊最新文献
Correction to: Therapeutic patient education and treatment intensification of diabetes and hypertension in subjects with newly diagnosed type 2 diabetes mellitus: a longitudinal study. Correction: Timing of the repeat thyroid fine-needle aspiration biopsy: does early repeat biopsy change the rate of nondiagnostic or atypia of undetermined significance cytology result? Hematological toxicities with Lutathera® for neuroendocrine neoplasms: post-marketing surveillance data from the US-FDA. SGLT2 inhibitors may reduce non-small cell lung cancer and not increase various neoplasms including several skin cancers. Clarification on the role of thyroid scintigraphy in the era of TIRADS: a response to Trimboli et al. (2024).
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