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护理学报 ›› 2024, Vol. 31 ›› Issue (1): 52-57.doi: 10.16460/j.issn1008-9969.2024.01.052

• 循证护理 • 上一篇    下一篇

2型糖尿病患者合并骨质疏松风险预测模型的范围综述

史婷婷1, 李婷2a, 黄友鹏3a, 赵媛3b, 朱晓丽2b, 周梦娟3a, 陈云梅1   

  1. 1.红河卫生职业学院 护理学院,云南 蒙自 661100;
    2.大理大学第一附属医院 a.急诊科; b.内分泌科,云南 大理 671000;
    3.大理大学 a.护理学院; b.公共卫生学院,云南 大理 671000
  • 收稿日期:2023-09-02 出版日期:2024-01-10 发布日期:2024-02-19
  • 通讯作者: 陈云梅（1969-）,女,云南武定人,本科学历,教授,院长。E-mail:964663529@qq.com
  • 作者简介:史婷婷（1991-）,女,云南蒙自人,硕士,讲师。
  • 基金资助:
    云南省教育厅科学研究基金（2022Y878）; 云南省科技厅科技计划项目（202101BA070001-118）; 云南省大理市2021年科技计划项目（2021KBG057）

Risk prediction model of oteoporosis in patients with type 2 diabetes: a scoping review

SHI Ting-ting1, LI Ting2a, HUANG You-peng3a, ZHAO Yuan3b, ZHU Xiao-li2b, ZHOU Meng-juan3a, CHEN Yun-mei1   

  1. 1. School of Nursing, Honghe Health Vocational College, Mengzi 661100, China;
    2a. Dept. of Emergency; 2b. Dept. of Endocrinology, the First Affiliated Hospital of Dali University, Dali 671000, China;
    3a. School of Nursing; 3b. School of Public Health, Dali University, Dali 671000, China
  • Received:2023-09-02 Online:2024-01-10 Published:2024-02-19

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摘要： 目的 对2型糖尿病患者并发骨质疏松的风险预测模型进行范围综述,为疾病科学防治及未来临床护理工作提供借鉴。方法 系统检索中英文数据库,对纳入文献进行文献偏倚风险评估,提取2型糖尿病患者骨质疏松发生率、模型构建情况、模型预测因子及性能等信息,并进行风险预测模型预测因子分类。结果 共纳入16项研究,涉及16个模型,2型糖尿病患者骨质疏松的患病率为14.4%~54.08%。模型效能总体较好,但模型构建的方法单一。年龄、糖尿病病程和体质指数是2型糖尿病患者并发骨质疏松风险预测模型的重要因子。结论 临床护理人员应重视2型糖尿病患者并发骨质疏松的高危因素,精准选择性能良好的评估工具指导护理实践。可借助可视化手段构建预测性能好、实用性强的模型,并通过前瞻性、多中心、外部验证不断优化模型,以期达到最佳的预测效果,便于及时干预。

关键词: 2型糖尿病, 骨质疏松, 预测模型, 风险预测, 范围综述

Abstract: Objective To conduct a scoping review on risk prediction model of osteoporosis in patients with type 2 diabetes, and to provide reference for its prevention and clinical nursing. Methods The Chinese and English databases were systematically searched, and the risk of literature bias was evaluated. The incidence of osteoporosis in patients with type 2 diabetes, model construction, model predictors and performance were extracted, and the predictors of risk prediction model were classified. Results Sixteen studies were included, involving 16 models. The prevalence of osteoporosis in patients with type 2 diabetes ranged from 14.4% to 54.08%. The overall effectiveness of the model was good, but the method of model construction was single. Age, duration of diabetes and body mass index were important factors in the risk prediction model of osteoporosis in patients with type 2 diabetes. Conclusion Nursing staff should pay attention to the high risk factors of osteoporosis in patients with type 2 diabetes, and evaluation tools with good performance should be considered to guide nursing practice. A model with good performance and strong practicability can be constructed by means of visualization, and be continuously optimized through forward-looking, multi-center and external verification in order to achieve the best prediction effect and provide timely intervention for the patients.

Key words: type 2 diabetes, osteoporosis, prediction model, risk prediction, scoping review

中图分类号: 

  • R473.58
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