[1]孙 婷,夏 颖,汪 蕾,等.浙江大学指数与正常体检人群新发2型糖尿病风险的相关性研究[J].现代检验医学杂志,2026,41(03):75-79.[doi:10.3969/j.issn.1671-7414.2026.03.014]
　SUN Ting,XIA Ying,WANG Lei,et al.Correlation between Zhejiang University Index and the Risk of Newly Diagnosed Type 2 Diabetes Mellitus in Normal Physical Examination Population[J].Journal of Modern Laboratory Medicine,2026,41(03):75-79.[doi:10.3969/j.issn.1671-7414.2026.03.014]
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浙江大学指数与正常体检人群新发2型糖尿病风险的相关性研究()

《现代检验医学杂志》[ISSN:/CN:]

卷:
第41卷
期数:
2026年03期
页码:
75-79
栏目:
论著
出版日期:
2026-05-13

文章信息/Info

Title:
Correlation between Zhejiang University Index and the Risk of Newly Diagnosed Type 2 Diabetes Mellitus in Normal Physical Examination Population
文章编号:
1671-7414（2026）03-075-05
作者:
孙 婷，夏 颖，汪 蕾，刘海翔
北京核工业医院体检中心，北京100045
Author(s):
SUN Ting，XIA Ying，WANG Lei，LIU Haixiang
Medical Examination Center, Beijing Nuclear Industry Hospital, Beijing 100045, China
关键词:
浙江大学指数; 代谢指标; 2型糖尿病; 风险预测; 体检人群
分类号:
R578.1；R446.1
DOI:
10.3969/j.issn.1671-7414.2026.03.014
文献标志码:
A
摘要:
目的探讨浙江大学（ZJU）指数与正常体检人群2型糖尿病(T2DM)发生风险的关联性。方法连续纳入2015年1月～2020年12月在北京核工业医院体检中心的1544例体检人群，按ZJU指数四分位数分为Q1组（<29.95）、Q2组（29.95≤ZJU指数<32.41）、Q3组（32.41≤ZJU指数<35.34）和Q4组（≥35.34）。随访三年，结局为T2DM的发生。采用COX比例风险回归模型分析ZJU指数与T2DM发生风险的关系，绘制Kaplan-Meier（K-M）生存曲线、受试者工作特征（ROC）曲线和限制性立方样条（RCS）曲线评估ZJU指数的预测价值。结果随访期间，从Q1组～Q4组T2DM发生率依次为5.96%、14.25%、17.10%和23.32%，差异具有统计学意义（χ2=46.762，P<0.001）。COX回归分析表明，与Q1组相比，Q2、Q3和Q4组的T2DM发生风险依次升高，风险比（HR）值分别为2.35、2.88和3.84。ZJU指数每增加1个单位，T2DM发生风险增加11%（HR=1.11）。Kaplan-Meier曲线显示不同ZJU指数组间T2DM累积发生率存在显著差异（Log-rankχ2=46.523，P<0.001）。RCS曲线分析显示ZJU指数与T2DM发生风险呈线性相关（P<0.001）。ROC曲线分析显示ZJU指数预测糖尿病发生的曲线下面积（AUC）为0.833，预测能力优于空腹血糖、甘油三酯和体重指数（BMI）差异具有统计学意义（Z=1.283、0.217、3.352，均P<0.001）。结论ZJU指数与正常体检人群T2DM发生风险呈显著正相关，可作为预测T2DM发生的有效指标。
Abstract:
Objective To investigate the association between the Zhejiang University (ZJU) index and the risk of type 2 diabetes mellitus（T2DM）in a physical examination population. Methods A total of 1 544 subjects who underwent physical examinations at Beijing Nuclear Industry Hospital Medical Examination Center from January 2015 to December 2020 were continuously en-rolled and divided into four quartiles based on the ZJU index: Q1 (<29.95), Q2 (29.95≤ZJU<32.41), Q3 (32.41≤ZJU<35.34), and Q4 (≥35.34). Subjects were followed up for 3 years with T2DM occurrence as the endpoint. COX proportional hazards regression model was used to analyze the relationship between ZJU index and T2DM risk. Kaplan-Meier(K-M) survival curves, receiver operating characteristic (ROC) curves, and restricted cCubic spline (RCS) curves were plotted to evaluate the predictive value of the ZJU index. Results During follow-up, the incidence of T2DM in Q1 to Q4 groups were 5.96%, 14.25%, 17.10%, and 23.32%, respectively (χ2=46.762, P<0.001). COX regression analysis showed that compared with Q1 group, the risk of T2DM occurrence progressively increased in Q2, Q3, and Q4 groups, with hazard ratios (HR) of 2.35, 2.88 and 3.84 , respective-ly. For each unit increase in the ZJU index, the risk of T2DM increased by 11% (HR=1.11). Kaplan-Meier(K-M) curves showed significant differences in cumulative incidence of T2DM among different ZJU index groups (Log-rank χ2=46.523, P<0.001). RCS analysis demonstrated a linear positive correlation between the ZJU index and T2DM risk (P<0.001). ROC curve analysis showed that the ZJU index had an area under curve of 0.833 (Z=7.426, P<0.001), demonstrating superior predictive ability com-pared to fasting blood glucose , triglycerides, and body mass index (BMI), the differences were statistically significant (Z=1.283, 0.217, 3.352, all P<0.001). Conclusions The ZJU index exhibits a significantly positive correlation with the risk of T2DM in a healthy physical examination population and can serve as an effective indicator for predicting T2DM onset.

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备注/Memo

备注/Memo:
作者简介：孙婷（1978-），女，学士，副主任医师，研究方向：动脉硬化的超声诊断，E-mail：231019101@qq.com。
更新日期/Last Update: 2026-05-15