医院体检人群空腹血糖的适宜截断年龄分析

Analyses of the appropriate cutoff age for fasting plasma glucose in the hospital physical examination population

  • 摘要: 【目的】探讨空腹血糖(FPG)值与年龄、性别之间的关系,并进一步分析空腹高血糖值检出的适宜截断年龄,为血糖筛查与健康管理提供参考依据。【方法】采用横断面设计,纳入2023年上海市第一人民医院体检中心50607名体检者,分析空腹血糖水平与异常检出率(FPG≥6.1 mmol·L-1)的年龄与性别分布特征,并采用非参数法作年龄预测空腹高血糖受试者工作曲线(ROC),以ROC曲线下面积(AUC)反映年龄对空腹高血糖异常发生的预测价值,以最大约登指数确定的适宜截断值为空腹高血糖发生的适宜截断年龄。【结果】 研究人群空腹血糖中位数M及第25、75百分位数(P25P75)为5.00 (4.68,5.41) mmol·L-1,男性水平5.06(4.73, 5.53)mmol·L-1 高于女性4.93(4.64, 5.28)mmol·L-1。空腹血糖水平及异常检出率均随年龄增长呈非线性上升,并于约80岁后进入平台期。ROC曲线分析显示,年龄对空腹高血糖具有良好判别价值(总人群曲线下面积AUC=0.778),适宜预测年龄阈值为48岁(男性48岁,女性49岁)。【结论】本研究发现可为制定重点年龄段筛查和人群分层健康管理策略提供重要依据。建议将45~50岁设为血糖筛查强化期,特别是男性应提前加强干预。高龄人群的血糖管理目标需个体化考量。

     

    Abstract: Objective To investigate the relationship between fasting plasma glucose (FPG) and age/sex, and to further analyze the appropriate cutoff age for detecting hyperglycemia, providing a reference for blood glucose screening and health management. Methods Using a cross-sectional design, a total of 50,607 examinees from the Physical Examination Center of Shanghai General Hospital in 2023 were included. The age and sex distributions of FPG levels and the abnormal detection rate (FPG ≥6.1 mmol·L-1) were analyzed. A non-parametric method was used to plot the receiver operating characteristic (ROC) curve for age in predicting hyperglycemia. The area under the ROC curve (AUC) reflected the predictive value of age for abnormal FPG, and the appropriate cutoff age for hyperglycemia detection was determined by the maximum Youden index. Results The median FPG (P25, P75) of the study population was 5.00 (4.68, 5.41) mmol·L-1, with levels systematically higher in males 5.06 (4.73, 5.53) mmol·L-1 than in females 4.93 (4.64, 5.28) mmol·L-1. Both FPG levels and the abnormal detection rate increased non-linearly with age, plateauing after approximately 80 years old. ROC curve analyses showed that age had good discriminatory value for hyperglycemia status (AUC=0.778 for the total population), with the appropriate predictive age threshold being 48 years old (48 years old for males, 49 years old for females). Conclusion These findings provide an important basis for developing targeted screening strategies for key age groups and implementing stratified health management interventions. Specifically, the 45~50 years old period should be set as an intensified phase for blood glucose screening, with particular emphasis on earlier intervention for males. Glycemic management targets for the elderly population require individualized consideration.

     

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