非高密度脂蛋白胆固醇与高密度脂蛋白胆固醇比值与中国中老年人脑卒中风险的关联
The Association between the Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio and Stroke Risk among Middle-Aged and Elderly Chinese Adults
DOI: 10.12677/acm.2026.1652000, PDF,    科研立项经费支持
作者: 李 赞, 王瑶瑶, 马慧琳, 钟雨露:青岛大学青岛医学院,山东 青岛;山东省青岛市康复大学青岛医院(青岛市市立医院)呼吸与危重症医学科,山东 青岛;于新娟, 李永春*:山东省青岛市康复大学青岛医院(青岛市市立医院)呼吸与危重症医学科,山东 青岛
关键词: 脑卒中非高密度脂蛋白胆固醇与高密度脂蛋白胆固醇比值中老年人中国健康与养老追踪调查队列研究Stroke Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) Middle-Aged and Elderly Chinese Populations China Health and Retirement Longitudinal Study Cohort Study
摘要: 背景:脑卒中是中国成人死亡和致残的重要原因,脂质代谢异常是其重要危险因素。非高密度脂蛋白胆固醇比值(NHHR)是近年来提出的新型复合脂质参数,整合了致动脉粥样硬化与非高密度脂蛋白胆固醇与保护性高密度脂蛋白胆固醇的信息,理论上能更全面评估动脉粥样硬化负荷,但其与中国中老年人群脑卒中风险的前瞻性关联尚缺乏大规模证据。目的:利用中国健康与养老追踪调查(CHARLS)数据,分析NHHR与中国中老年人群脑卒中风险的关联。方法:本研究采用了CHARLS 2011~2020年的纵向数据,共纳入了10,983名≥45岁基线无脑卒中史的研究对象。通过多因素Cox回归模型、Kaplan-Meier分析、限制性立方样条(RCS)、亚组分析及敏感性分析探讨NHHR与中国中老年人脑卒中风险之间的关联。结果:随访9年后,新发脑卒中960例(发生率8.74%)。调整后的多变量Cox回归分析显示,NHHR每增加1单位,脑卒中风险上升5% [HR = 1.05, 95% CI (1.00~1.10), P = 0.048)]。与NHHR的最低四分位数相比,第三四分位数[HR = 1.28, 95% CI (1.05~1.56)]和最高四分位数[HR = 1.48, 95% CI (1.19~1.83)]脑卒中风险显著升高(均P < 0.05)。完全调整后的RCS显示NHHR与脑卒中风险之间整体显著关联(P for overall = 0.001)且存在显著的非线性关系(P for non-linearity = 0.003)。在拐点以下的参与者NHHR每增加1单位,脑卒中发病风险升高16%。亚组分析表明二者的关系不受不受年龄、性别、教育、婚姻、高血压、糖尿病、吸烟、饮酒、BMI的影响(交互作用P > 0.05)。结论:在中国中老年人群中,较高的NHHR水平与增加的脑卒中风险相关,且呈现非线性关联。研究结果提示NHHR可作为脑卒中患者风险分层及血脂管理的潜在指标。
Abstract: Background: Stroke is a significant cause of mortality and disability among adults in China, with dyslipidemia constituting a key risk factor. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a recently proposed composite lipid index that integrates atherogenic non-high-density lipoprotein cholesterol and anti-atherogenic high-density lipoprotein cholesterol. In theory, NHHR provides a more comprehensive assessment of atherosclerotic burden; however, robust large-scale prospective evidence on its association with stroke risk in middle-aged and older Chinese populations remains insufficient. Objective: Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS), this study examined the association between NHHR and stroke risk in middle-aged and older Chinese adults. Methods: This study analyzed data from the China Health and Retirement Longitudinal Study (2011~2020), including 10,983 participants aged ≥ 45 years without prior stroke. Multivariable Cox regression, Kaplan-Meier analysis and restricted cubic splines (RCS) were used to assess the association with stroke risk, and sensitivity analyses, subgroup analyses were performed to test robustness. Results: During the 9-year follow-up, 960 incident stroke cases (8.74%) were recorded. Each 1-unit increase in NHHR was associated with a 5% elevated stroke risk (HR = 1.05, 95% CI: 1.00~1.10, P = 0.048). Compared with the lowest quartile (Q1), the risk was significantly higher in Q3 (HR = 1.28, 95% CI: 1.05~1.56) and Q4 (HR = 1.48, 95% CI: 1.19~1.83). RCS demonstrated a nonlinear association between NHHR and stroke (Overall P = 0.001, Nonlinear P = 0.003). Among participants with NHHR values below the inflection point, each 1-unit increase in NHHR was associated with a 16% increase in the risk of incident stroke. Subgroup analyses indicated that this association was not modified by age, sex, education level, marital status, hypertension, diabetes, smoking status, alcohol consumption, or body mass index (all interaction P values > 0.05). Conclusion: Elevated NHHR serves as a risk factor for stroke risk in middle-aged and older Chinese adults, demonstrating a nonlinear association. These findings suggest that this ratio may serve as a potential early-warning indicator for lipid management in populations at risk of stroke.
文章引用:李赞, 王瑶瑶, 马慧琳, 钟雨露, 于新娟, 李永春. 非高密度脂蛋白胆固醇与高密度脂蛋白胆固醇比值与中国中老年人脑卒中风险的关联[J]. 临床医学进展, 2026, 16(5): 1940-1954. https://doi.org/10.12677/acm.2026.1652000

参考文献

[1] Majumder, D. (2024) Ischemic Stroke: Pathophysiology and Evolving Treatment Approaches. Neuroscience Insights, 19. [Google Scholar] [CrossRef] [PubMed]
[2] Tu, W.J., Wang, L.D., Yan, F., Peng, B., Hua, Y., Liu, M., et al. (2023) China Stroke Surveillance Report 2021. Military Medical Research, 10, 33.
[3] Tu, W., Zhao, Z., Yin, P., Cao, L., Zeng, J., Chen, H., et al. (2023) Estimated Burden of Stroke in China in 2020. JAMA Network Open, 6, e231455. [Google Scholar] [CrossRef] [PubMed]
[4] Yao, Y., Wei, Z., Zhang, Y., Li, X., Gong, L., Zhou, J., et al. (2021) Functional Disability after Ischemic Stroke: A Community-Based Cross-Sectional Study in Shanghai, China. Frontiers in Neurology, 12, Article ID: 649088. [Google Scholar] [CrossRef] [PubMed]
[5] Han, M., Huang, K., Shen, C., Hu, H., Liu, F., Li, J., et al. (2024) Discordant High Remnant Cholesterol with LDL-C Increases the Risk of Stroke: A Chinese Prospective Cohort Study. Stroke, 55, 2066-2074. [Google Scholar] [CrossRef] [PubMed]
[6] Wang, G., Jing, J., Wang, A., Zhang, X., Zhao, X., Li, Z., et al. (2021) Non-High-Density Lipoprotein Cholesterol Predicts Adverse Outcomes in Acute Ischemic Stroke. Stroke, 52, 2035-2042. [Google Scholar] [CrossRef] [PubMed]
[7] Ouimet, M., Barrett, T.J. and Fisher, E.A. (2019) HDL and Reverse Cholesterol Transport. Circulation Research, 124, 1505-1518. [Google Scholar] [CrossRef] [PubMed]
[8] Han, Y., Gao, Y., Qiu, M., Wang, Y., Li, S., Guo, M., et al. (2025) Association between Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio and Cerebral Atherosclerotic Stenosis: A Retrospective Study. Lipids in Health and Disease, 24, Article No. 145. [Google Scholar] [CrossRef] [PubMed]
[9] Li, B., Zha, Y., Deng, M., Niu, L., Li, X., Zhu, R., et al. (2025) The Association between Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio and the Risk of Insulin Resistance: Results from the NHANES 2003-2016. BMC Endocrine Disorders, 25, Article No. 161. [Google Scholar] [CrossRef] [PubMed]
[10] Chen, H., Miao, X., Hu, M., Song, Z., He, Y., Deng, J., et al. (2025) Associations between High-Density Lipoprotein Cholesterol, Non-High-Density Lipoprotein Cholesterol, and Their Ratio with Metabolic Dysfunction-Associated Steatotic Liver Disease: A Retrospective Cohort Study. Frontiers in Endocrinology (Lausanne), 16, Article ID: 1585811. [Google Scholar] [CrossRef] [PubMed]
[11] Liu, J., Ji, F. and Kim, J. (2025) Association between the Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio and Sarcopenic Obesity in U.S. Adults: A Cross-Sectional Study. Preventive Medicine Reports, 56, Article ID: 103151. [Google Scholar] [CrossRef] [PubMed]
[12] Fu, Y., Zhu, Y., Yan, S., Chen, Y. and He, Z. (2025) Appraising Non-HDL-C, Systolic Pressure, and a Nomogram-Based Diagnostic Model as Auxiliary Biomarkers in Confirming Acute Ischemic Stroke and Transient Ischemic Attack. Scientific Reports, 15, Article No. 13530. [Google Scholar] [CrossRef] [PubMed]
[13] Zhao, Y., Hu, Y., Smith, J.P., Strauss, J. and Yang, G. (2014) Cohort Profile: The China Health and Retirement Longitudinal Study (CHARLS). International Journal of Epidemiology, 43, 61-68. [Google Scholar] [CrossRef] [PubMed]
[14] Hou, X., Zhu, M., Zhu, Z., Li, Y., Chen, X. and Zhang, X. (2024) Association between Platelet-to-High-Density Lipoprotein Cholesterol Ratio and Future Stroke Risk: A National Cohort Study Based on CHARLS. Frontiers in Neurology, 15, Article ID: 1479245. [Google Scholar] [CrossRef] [PubMed]
[15] Tang, S., Wang, H., Li, K., Chen, Y., Zheng, Q., Meng, J., et al. (2024) C-Reactive Protein-Triglyceride Glucose Index Predicts Stroke Incidence in a Hypertensive Population: A National Cohort Study. Diabetology & Metabolic Syndrome, 16, Article No. 277. [Google Scholar] [CrossRef] [PubMed]
[16] Han, Y., Zhou, Z., Zhang, Y., Zhao, G. and Xu, B. (2023) The Association of Surrogates of Insulin Resistance with Hyperuricemia among Middle-Aged and Older Individuals: A Population-Based Nationwide Cohort Study. Nutrients, 15, Article No. 3139. [Google Scholar] [CrossRef] [PubMed]
[17] Raja, V., Aguiar, C., Alsayed, N., Chibber, Y.S., ElBadawi, H., Ezhov, M., et al. (2023) Non-HDL-Cholesterol in Dyslipidemia: Review of the State-of-the-Art Literature and Outlook. Atherosclerosis, 383, Article ID: 117312. [Google Scholar] [CrossRef] [PubMed]
[18] Khatana, C., Saini, N.K., Chakrabarti, S., Saini, V., Sharma, A., Saini, R.V., et al. (2020) Mechanistic Insights into the Oxidized Low-Density Lipoprotein-Induced Atherosclerosis. Oxidative Medicine and Cellular Longevity, 2020, Article ID: 5245308. [Google Scholar] [CrossRef] [PubMed]
[19] Xing, Y. and Lin, X. (2025) Challenges and Advances in the Management of Inflammation in Atherosclerosis. Journal of Advanced Research, 71, 317-335. [Google Scholar] [CrossRef] [PubMed]
[20] von Eckardstein, A., Nordestgaard, B.G., Remaley, A.T. and Catapano, A.L. (2023) High-Density Lipoprotein Revisited: Biological Functions and Clinical Relevance. European Heart Journal, 44, 1394-1407. [Google Scholar] [CrossRef] [PubMed]
[21] Xiang, Q., Tian, F., Xu, J., Du, X., Zhang, S. and Liu, L. (2022) New Insight into Dyslipidemia‐Induced Cellular Senescence in Atherosclerosis. Biological Reviews, 97, 1844-1867. [Google Scholar] [CrossRef] [PubMed]
[22] Groenen, A.G., Halmos, B., Tall, A.R. and Westerterp, M. (2021) Cholesterol Efflux Pathways, Inflammation, and Atherosclerosis. Critical Reviews in Biochemistry and Molecular Biology, 56, 426-439. [Google Scholar] [CrossRef] [PubMed]
[23] Linton, M.F., Yancey, P.G., Tao, H. and Davies, S.S. (2023) HDL Function and Atherosclerosis: Reactive Dicarbonyls as Promising Targets of Therapy. Circulation Research, 132, 1521-1545. [Google Scholar] [CrossRef] [PubMed]
[24] Joint Committee on the Chinese Guidelines for Lipid M. (2023) Chinese Guidelines for Lipid Management (2023). Chinese Journal of Cardiology, 51, 221-255. (In Chinese)
[25] Liu, Y., Jin, X., Fu, K., Li, J., Xue, W., Tian, L., et al. (2023) Non-Traditional Lipid Profiles and the Risk of Stroke: A Systematic Review and Meta-Analysis. Nutrition, Metabolism and Cardiovascular Diseases, 33, 698-714. [Google Scholar] [CrossRef] [PubMed]
[26] Ma, H.X., Chen, H.Q. and Wang, P.C. (2025) Association between Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) and Stroke among Adults in the USA: A Cross-Sectional NHANES Study. Biomedical and Environmental Sciences, 38, 37-46. (In Chinese)
[27] Wang, H., Wang, J., Feng, D., Wang, L. and Zhang, J. (2025) Association between the Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) and Cognitive Impairment in Patients with Acute Mild Ischemic Stroke. European Journal of Medical Research, 30, Article No. 430. [Google Scholar] [CrossRef] [PubMed]
[28] Maida, C.D., Norrito, R.L., Rizzica, S., Mazzola, M., Scarantino, E.R. and Tuttolomondo, A. (2024) Molecular Pathogenesis of Ischemic and Hemorrhagic Strokes: Background and Therapeutic Approaches. International Journal of Molecular Sciences, 25, Article No. 6297.
[29] Kloska, A., Malinowska, M., Gabig-Cimińska, M. and Jakóbkiewicz-Banecka, J. (2020) Lipids and Lipid Mediators Associated with the Risk and Pathology of Ischemic Stroke. International Journal of Molecular Sciences, 21, Article No. 3618. [Google Scholar] [CrossRef] [PubMed]
[30] Nsiah, P., Acquah, S., Bockarie, A.S., Adjei, G., Aniakwaa-Bonsu, E. and Ryabinina, O. (2025) Non-High-Density Lipoprotein Cholesterol Predicts Cardiovascular Risk Better than Remnant Cholesterol in Patients with Type 2 Diabetes Mellitus. Frontiers in Cardiovascular Medicine, 12, Article ID: 1551203. [Google Scholar] [CrossRef] [PubMed]
[31] Li, J.J., Zhao, S.P., Zhao, D., Lu, G.P., Peng, D.Q., Liu, J., et al. (2023) 2023 Chinese Guideline for Lipid Management. Frontiers in Pharmacology, 14, Article ID: 1190934. [Google Scholar] [CrossRef] [PubMed]