| 高朋飞,安文峰,孙琰.血清神经颗粒素、白细胞介素 -23水平与阿尔茨海默病源性轻度认知功能障碍的相关性及预测风险模型构建[J].安徽医药,2025,29(8):1530-1535. |
| 血清神经颗粒素、白细胞介素 -23水平与阿尔茨海默病源性轻度认知功能障碍的相关性及预测风险模型构建 |
| Correlation of serum neurogranin and interleukin-23 levels with Alzheimer's disease-related mild cognitive impairment and construction of a predictive risk model |
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| DOI：10.3969/j.issn.1009-6469.2025.08.009 |
| 中文关键词: 阿尔茨海默病 认知功能障碍 神经颗粒素 白细胞介素 -23 Nomogram模型 老年人 |
| 英文关键词: Alzheimer disease Cognitive dysfunction Neurogranin Interleukin-23 Nomogram model Aged |
| 基金项目:许昌市科技攻关项目( 20230213082) |
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| 摘要点击次数: 867 |
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| 中文摘要: |
| 目的分析血清神经颗粒素( Ng)、白细胞介素 -23(IL-23)水平与阿尔茨海默病( AD)源性轻度认知功能障碍(MCI)的相关性，并构建 AD源性 MCI的预测风险模型。方法选择 2022年 1月至 2024年 1月河南科技大学附属许昌市中心医院治疗的 AD源性 MCI病人 80例纳入 MCI组，另选取同期健康体检老人 80例纳入健康组。对比两组简易精神状态量表( MMSE)评分、血清 Ng、IL-23水平， Pearson分析血清 Ng、IL-23水平与 AD源性 MCI病人认知功能的相关性，分析 AD源性 MCI发生的危险因 素，构建 AD源性 MCI的预测风险模型。结果 MCI组病人 MMSE评分［(24.33±1.14)分比( 28.46±1.02)分］、血清 Ng［( 587.46± 134.37)ng/L比( 379.84±103.86)ng/L］、 IL-23水平［(41.44±7.37)ng/L比( 28.36±7.12)ng/L］均明显高于健康组( P<0.05)。 Pearson分析显示， AD源性 MCI病人血清 Ng、IL-23水平与 MMSE评分呈负相关( r=.0.56、.0.51，P<0.001)。 MCI组受教育年限、睡眠时间均明显低于健康组，独居、离异 /丧偶、高血压、糖尿病、高脂血症占比均明显高于健康组( P<0.05)。 logistic分析显示，低 MMSE评分、受教育年限及睡眠时间、高血清 Ng、IL-23水平、独居、离异 /丧偶、高血压、糖尿病、高脂血症是发生 AD源性 MCI的危险因素( P<0.05)。基于 MMSE评分、受教育年限、睡眠时间、血清 Ng、IL-23水平、居住情况、婚姻状况、高血压、糖尿病、高脂血症建立的 AD源性 MCI Nomogram风险预测模型的一致性指数( C-index)为 0.91，曲线下面积( AUC)为 0.94，95%CI:(0.85， 0.98)其校正曲线与理想曲线拟合反应良好。结论血清 Ng、IL-23水平与 AD源性 MCI病人认知功能呈负相关，而基于 |
| 英文摘要: |
| Objective To analyze the correlation between serum neurogranin (Ng), interleukin-23 (IL-23) levels and Alzheimer's dis-ease (AD)-related mild cognitive impairment (MCI), and to develop a predictive risk model for AD-related MCI.Methods A total of 80 patients with AD-related MCI treated at Xuchang Central Hospital, Henan University of Science and Technology, from January 2022 toJanuary 2024 (MCI group) and 80 healthy elderly individuals who underwent physical examinations during the same period (healthgroup). We compared Mini-Mental State Examination (MMSE) scores and serum Ng and IL-23 levels between the two groups. Pearson correlation analysis was used to assess the relationship between serum Ng, IL-23 levels and cognitive function in AD-related MCI pa-tients. Logistic regression analysis was used to identify risk factors for AD-related MCI and to develop a predictive risk model.Results The MCI group had significantly higher MMSE scores [(24.33±1.14) points vs. (28.46±1.02) points], serum Ng levels [(587.46±134.37) ng/L vs. (379.84±103.86) ng/L], and IL-23 levels [(41.44±7.37) ng/L vs. (28.36±7.12) ng/L] compared to the health group (P < 0.05). Pearson analysis showed that serum Ng and IL-23 levels were negatively correlated with MMSE scores (r=.0.56, .0.51, P < 0.001). TheMCI group had lower educational attainment and shorter sleep duration than the health group, and higher proportions of individuals liv-ing alone, divorced/widowed, and with hypertension, diabetes, and hyperlipidemia (P < 0.05). Logistic regression analysis identified lowMMSE scores, low educational attainment, short sleep duration, high serum Ng and IL-23 levels, living alone, divorced/widowed status, hypertension, diabetes, and hyperlipidemia as risk factors for AD-related MCI (P < 0.05). The developed Nomogram risk prediction model for AD-related MCI, based on MMSE scores, educational attainment, sleep duration, serum Ng and IL-23 levels, living condi-tions, marital status, hypertension, diabetes, and hyperlipidemia, had a consistency index (C-index) of 0.91 and an area under the curve (AUC) of 0.94 (95% CI: 0.85-0.98), with good calibration curve fitting.Conclusions Serum Ng and IL-23 levels are negatively corre-lated with cognitive function in AD-related MCI patients. The risk prediction model for AD-related MCI, which is based on MMSE scores, years of education, sleep time, serum Ng and IL-23 levels, living conditions, marital status, hypertension, diabetes, and hyperlip-idemia, can effectively predict the risk of AD-related MCI in elderly individuals. |
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