BMI分层下血清同型半胱氨酸与社区脑卒中高危风险的相关性研究
Association Study of Serum Homocysteine and Stroke-related High Risk in Community Populations Stratified by Body Mass Index
顾奕乐 1杨祥雨 1陆博凤 2赵静雯 2王筱荷 1钟伟豪 2吴登爽 2刘秀梅3
作者信息
- 1. 100078 北京市丰台区方庄社区卫生服务中心全科;100053 北京市，首都医科大学宣武医院全科;100069 北京市，首都医科大学全科与继续教育学院
- 2. 100053 北京市，首都医科大学宣武医院全科;100069 北京市，首都医科大学全科与继续教育学院
- 3. 100078 北京市丰台区方庄社区卫生服务中心全科;100069 北京市，首都医科大学全科与继续教育学院
- 折叠
摘要
背景 脑卒中是我国居民死亡和伤残的首要原因，社区高危人群早筛是脑卒中一级预防关键，但BMI对血清同型半胱氨酸（Hcy）相关脑卒中风险的修饰效应尚存争议，且缺乏社区人群数据，限制Hcy在基层的应用。目的 探讨不同BMI分层下，Hcy与社区脑卒中高危人群发病相关风险的关联。方法 连续纳入2025年4月—2026年2月在北京市丰台区方庄社区卫生服务中心就诊的签约患者1 154例作为研究对象，将BMI分层，分为正常（18.5kg/m2≤BMI<24.0 kg/m2）、超重（24.0 kg/m2≤BMI<28.0 kg/m2）、肥胖（BMI≥28.0 kg/m2）；Hcy分层，分为正常Hcy（Hcy水平<15 μmol/L）、高Hcy（Hcy水平≥15 μmol/L）；脑卒中风险分组，按危险因素数量分为低风险组（0~2项）、中风险组（3~5项）、高风险组（≥6项）；双重高危人群定义：同时满足“高Hcy组”和“高风险组”的研究对象。通过单因素分析、多因素Logistic回归分析、Cochran-Armitage趋势检验、亚组与交互效应分析，探究BMI分层下Hcy与社区人群脑卒中中高风险的关联；采用受试者工作特征（ROC）曲线，评估Hcy及联合指标模型对社区人群脑卒中中高风险的预测价值。结果 本研究纳入的受试者中，BMI分层中正常504例（44%）、超重470例（41%）、肥胖180例（16%）；高Hcy 187例，占16%，正常Hcy 967例，占84%。低风险组594例（51%）、中风险组525例（45%）、高风险组35例（3%）；同时满足高Hcy与脑卒中高风险的双重高危人群共26例，占总研究人群的2%。将中风险组与高风险组合并为中高风险组，单因素分析显示，中高风险组与低风险组性别、年龄、Hcy分层、BMI分层比较，差异均有统计学意义（P<0.001）。多因素Logistic回归模型结果显示，年龄每增加1岁，脑卒中中高风险的发生风险升高5%（OR=1.05，95%CI=1.03~1.06）；女性为保护因素（OR=0.38，95%CI=0.29~0.51）；与BMI正常者相比，超重者脑卒中中高风险的发生风险升高64%（OR=1.64，95%CI=1.23~2.20），肥胖者脑卒中中高风险的发生风险升高8.58倍（OR=9.58，95%CI=6.09~15.50）；与正常Hcy者相比，高Hcy者脑卒中中高风险的发生风险升高9.50倍（OR=10.50，95%CI=6.32~18.30）。Hosmer-Lemeshow检验证实模型拟合良好（χ2=6.182，P=0.624）。趋势检验结果显示，Hcy水平与社区人群脑卒中中高风险呈显著的剂量反应关系（P0.05），其风险效应独立于BMI、性别、年龄。ROC曲线分析显示，Hcy预测脑卒中中高风险的最佳截断值为12.105μmol/L，ROC曲线下面积（AUC）为0.707；Hcy联合年龄、性别、BMI构建的联合模型预测脑卒中中高风险的AUC达0.795，诊断效能更优。结论 血清高Hcy、超重、肥胖均为社区脑卒中高危人群风险升高的独立影响因素；在不同BMI分层下，Hcy水平与社区人群脑卒中中高风险呈显著剂量反应关系，且Hcy对脑卒中风险效应的影响独立于BMI分层。
Abstract
BackgroundStroke is the leading cause of death and disability among Chinese residents. Early screening of high-risk individuals in the community is crucial for primary prevention of stroke. However, the modifying effect of body mass index (BMI) on stroke risk associated with serum homocysteine (Hcy) remains controversial, and the lack of community-based data limits its application at the grassroots level. ObjectiveTo explore the association between Hcy and stroke-related risks in high-risk individuals in the community based on different BMI stratification. MethodsA total of 1, 154 contracted patients who visited the Fangzhuang Community Health Service Center in Fengtai District, Beijing, from April 2025 to February 2026, were consecutively included. These patients were stratified by BMI into normal (18.5 kg/m2 BMI<24.0 kg/m2 ), overweight (24.0 kg/m2 BMI<28.0 kg/m2 ), and obesity (BMI 28.0 kg/m2 ); by serum Hcy into normal Hcy (<15 mol/L) and hyper-Hcy ( 15 mol/L); and by the number of risk factors into low-risk (0-2 items), moderate-risk (3-5 items), and high-risk ( 6 items) groups for stroke. Dual high-risk population was defined as subjects who simultaneously met the criteria of both the "hyper-Hcy group" and the "high-risk group".Univariate analysis, multivariate logistic regression analysis, Cochran-Armitage trend test, and subgroup and interaction effect analysis were employed to explore the association between Hcy and medium-to-high stroke risk in the community population under different BMI stratification. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of Hcy and combined indicator models for medium-to-high stroke risk in the community population. ResultsAmong the included subjects, BMI stratification showed 504 (44%) in the normal group, 470 (41%) in the overweight group, and 180 (16%) in the obese group. Regarding Hcy levels, 187 (16%) had hyper-Hcy and 967 (84%) had normal Hcy. For stroke risk stratification, there were 594 (51%) in the low-risk, 525 (45%) in the moderate-risk, and 35 (3%) in the high-risk groups. Additionally, 26 patients (2%) were identified as a dual high-risk population, meeting the criteria for both hyper-Hcy and high stroke risk. Univariate analysis showed that when the medium-risk group and high-risk group were combined into the medium-to-high risk group, there were statistically significant differences in gender, age, Hcy stratification, and BMI stratification between the medium-to-high risk group and the low-risk group (P<0.001). Multivariate logistic regression analysis showed that for every one-year increase in age, the risk of developing high-risk stroke increased by 5% (OR=1.05, 95%CI=1.03-1.06); being female was a protective factor (OR=0.38, 95%CI=0.29-0.51); compared with normal BMI individuals, the risk of developing high-risk stroke increased by 64% in overweight individuals (OR=1.64, 95%CI=1.23-2.20), and increased by 8.58 times in obese individuals (OR=9.58, 95%CI=6.09-15.50); and compared with normal Hcy individuals, the risk of developing high-risk stroke increased by 9.50 times in hyper-Hcy individuals (OR=10.50, 95%CI=6.32-18.30).The Hosmer-Lemeshow test confirmed good model fit (2 =6.182, P=0.624). The Cochran-Armitage trend test showed a significant dose-response relationship between Hcy levels and high-risk stroke in the community population (P0.05), and the risk effect was independent of BMI, gender, and age. ROC curve analysis showed that the optimal cutoff value for Hcy to predict high-risk stroke was 12.105 mol/L, with an area under the ROC curve (AUC) of 0.707; the combined model incorporating Hcy, age, gender, and BMI achieved an AUC of 0.795 for predicting high-risk stroke, indicating superior diagnostic performance. ConclusionElevated serum Hcy, overweight, and obesity are independent factors that increase the risk of high-risk stroke in the community populations. Moreover, across different BMI stratification, Hcy levels exhibit a significant dose-response relationship with moderate-to-high stroke risk, and the effect of Hcy on stroke risk is independent of BMI stratification.关键词
脑卒中/血清同型半胱氨酸/BMI/脑卒中/高危人群/风险分层/诊断效能Key words
Serum homocysteine/BMI/Stroke/High-risk population/Risk stratification/Diagnostic performance引用本文复制引用
顾奕乐,杨祥雨,陆博凤,赵静雯,王筱荷,钟伟豪,吴登爽,刘秀梅.BMI分层下血清同型半胱氨酸与社区脑卒中高危风险的相关性研究[EB/OL].(2026-09-04)[2026-09-05].https://chinaxiv.org/abs/202609.00032.学科分类
R1
