中老年2型糖尿病患者骨质疏松性肌少症与血管硬化度的关系研究
Relationship between Osteosarcopenia and the Degree of Vascular Sclerosis in Middle-Aged and Elderly Patients with Type 2 Diabetes Mellitus
DOI: 10.12677/ACM.2023.13112542, PDF,    科研立项经费支持
作者: 齐朝刚:承德医学院研究生院,河北 承德;刘博伟*, 尹福在, 刘俊茹, 王 星, 范冬梅, 孙丽娜, 杜国慧, 张伟楠, 莫雄伟, 孙 洋:秦皇岛市第一医院内分泌科,河北 秦皇岛
关键词: 糖尿病2型肌少症骨质疏松症骨质疏松性肌少症臂踝脉搏波传播速度Diabetes Mellitus Type 2 Sarcopenia Osteosarcopenia baPWV
摘要: 目的:探讨2型糖尿病(Type 2 Diabetes Mellitus, T2DM)患者骨质疏松性肌少症与血管硬化度的关系。方法:横断面连续选取215例T2DM住院患者(62.5 ± 7.59岁),依据臂踝脉搏波传播速度(brachial-ankle Pulse Wave Velocity, baPWV)分为正常A组(<1800 cm/s, n = 112)与高值B组(≥1800 cm/s, n = 103)比较两组一般临床资料及实验室生化指标,分析骨质疏松性肌少症与血管硬化度的关系。结果:1) B组的年龄、糖尿病病程、收缩压(SBP)、收缩压/舒张压(DSP)、高血压史、低肌肉质量指数(skeletal lean mass index, SMI)检出率显著高于A组,肾小球滤过率、六米步速、股骨颈骨量显著低于A组,(P < 0.05)。2) 在T2DM患者、收缩压 < 140 mmHg T2DM患者、年龄 < 75岁患者中,单纯肌少症组、骨质疏松性肌少症组的baPWV异常检出率均高于正常组,差异有统计学意义,P < 0.05;单纯骨质疏松组与正常组、单纯肌少症组、骨质疏松性肌少症组的baPWV检出率均无统计学差异,肌少症组与骨质疏松性肌少症组的baPWV检出率均无统计学差异。3) Logistic回归分析显示,T2DM病程大于10年、年龄大于等于75岁,SBP大于等于140 mmHg和骨质疏松合并肌少症增加了baPWV异常的发生危险,差异有统计学意义,(0R = 2.080, 95% CI: 1.122~3.853, P = 0.020, 0R = 15.704, 95% CI: 1.664~148.183, P = 0.016, 0R = 2.976, 95% CI: 1.534~5.772, p = 0.001, 0R = 10.359, 95% CI: 1.941~55.270, P = 0.006)。结论:在中老年T2DM患者中,长病程、高龄、不达标的SBP和骨质疏松性肌少症是baPWV异常的危险因素,且在血压正常人群中骨质疏松性肌少症仍与baPWV异常关系密切。
Abstract: Objective: To investigate the relationship between osteosarcopenia and vascular sclerosis in Type 2 Diabetes Mellitus (T2DM) patients. Methods: 215 hospitalized T2DM patients (62.5 ± 7.59 years old) were continuously selected and divided into normal group A (<1800 cm/s, n = 112) and high value group B (≥1800 cm/s, n = 103) were compared with the general clinical data and laboratory bio-chemical indexes of the two groups, and the relationship between osteosarcopenia and vascular sclerosis was analyzed. Results: 1) Age, diabetes course, systolic blood pressure (SBP), systol-ic/diastolic blood pressure (DSP), history of hypertension, and low muscle mass index (SMI) of group B were significantly higher than those of group A, while glomerular filtration rate, 6-meter stride speed and femoral neck bone mass were significantly lower than those of group A (P < 0.05). 2) Among T2DM patients, systolic blood pressure < 140 mmHg T2DM patients and patients aged < 75 years, the abnormal detection rate of baPWV in simple sarcosis group and osteoporotic sarcosis group was higher than that in normal group, with statistical significance (P < 0.05); there was no statistical difference in baPWV detection rate between pure osteoporosis group and normal group, simple sarcopenia group and osteoporotic sarcopenia group. There was no statistical difference in baPWV detection rate between sarcopenia group and osteoporotic sarcopenia group. 3) Logistic re-gression analysis showed that the disease course of T2DM was greater than 10 years, the age was greater than or equal to 75 years, SBP was greater than or equal to 140 mmHg, osteoporosis com-bined with sarcosis increased the risk of baPWV abnormality, and the difference was statistically significant (0R = 2.080, 95% CI: 1.122~3.853, P = 0.020, 0R = 15.704, 95% CI: 1.664~148.183, P = 0.016, 0R = 2.976, 95% CI: 1.534~5.772, P = 0.001, 0R = 10.359, 95% CI: 1.941~55.270, P = 0.006). Conclusion: In middle-aged and elderly T2DM patients, long disease course, old age, sub-standard SBP and osteoporotic sarcopenia are risk factors for baPWV abnormality, and osteoporotic sarcope-nia is still closely related to baPWV abnormality in normal blood pressure population.
文章引用:齐朝刚, 刘博伟, 尹福在, 刘俊茹, 王星, 范冬梅, 孙丽娜, 杜国慧, 张伟楠, 莫雄伟, 孙洋. 中老年2型糖尿病患者骨质疏松性肌少症与血管硬化度的关系研究[J]. 临床医学进展, 2023, 13(11): 18108-18116. https://doi.org/10.12677/ACM.2023.13112542

参考文献

[1] 中华医学糖尿病学分会. 中国2型糖尿病防治指南(2020年版) [J]. 中华糖尿病杂志, 2021, 37(4): 315-409. [Google Scholar] [CrossRef
[2] Wong, N.D. and Sattar, N. (2023) Cardiovascular Risk in Diabetes Mellitus: Epidemiology, Assessment and Prevention. Nature Reviews Cardiology, 20, 685-695. [Google Scholar] [CrossRef] [PubMed]
[3] Low Wang, C.C., Hess, C.N., Hiatt, W.R., et al. (2016) Clinical Update: Cardiovascular Disease in Diabetes Mellitus: Atherosclerotic Cardiovascular Disease and Heart Failure in Type 2 Diabetes Mellitus—Mechanisms, Management, and Clinical Considerations. Circulation, 133, 2459-2502. [Google Scholar] [CrossRef
[4] Xu, J., Pan, X., Liang, H., et al. (2018) Associa-tion between Skeletal Muscle Mass to Visceral Fat Area Ratio and Arterial Stiffness in Chinese Patients with Type 2 Di-abetes Mellitus. BMC Cardiovascular Disorders, 18, Article No. 89. [Google Scholar] [CrossRef] [PubMed]
[5] Yamashina, A., Tomiyama, H., Arai, T., et al. (2003) Brachi-al-Ankle Pulse Wave Velocity as a Marker of Atherosclerotic Vascular Damage and Cardiovascular Risk. Hypertension Research, 26, 615-622. [Google Scholar] [CrossRef] [PubMed]
[6] Takashima, N., Turin, T.C., Matsui, K., et al. (2014) The Relationship of Brachial-Ankle Pulse Wave Velocity to Future Cardiovascular Disease Events in the General Japanese Population: The Takashima Study. Journal of Human Hypertension, 28, 323-327. [Google Scholar] [CrossRef] [PubMed]
[7] Anagnostis, P., Gkekas, N.K., Achilla, C., et al. (2020) Type 2 Diabetes Mellitus Is Associated with Increased Risk of Sarcopenia: A Systematic Review and Meta-Analysis. Calcified Tissue In-ternational, 107, 453-463. [Google Scholar] [CrossRef] [PubMed]
[8] Si, Y., Wang, C., Guo, Y., et al. (2019) Prevalence of Osteopo-rosis in Patients with Type 2 Diabetes Mellitus in the Chinese Mainland: A Systematic Review and Meta-Analysis. Ira-nian Journal of Public Health, 48, 1203-1214. [Google Scholar] [CrossRef
[9] Rong, Y.D., Bian, A.L., Hu, H.Y., et al. (2020) A Cross-Sectional Study of the Relationships between Different Components of Sarcopenia and Brachial Ankle Pulse Wave Velocity in Community-Dwelling Elderly. BMC Geriatrics, 20, Article No. 115. [Google Scholar] [CrossRef] [PubMed]
[10] Sun, T., Ma, Z., Gao, L., et al. (2021) Correlation between Sar-copenia and Arteriosclerosis in Elderly Community Dwellers: A Multicenter Study. The Journal of Nutrition, Health and Aging, 25, 692-697. [Google Scholar] [CrossRef] [PubMed]
[11] Jiang, Y., Fan, Z., Wang, Y., et al. (2018) Low Bone Mineral Density Is Not Associated with Subclinical Atherosclerosis: A Population-Based Study in Rural China. Cardiology, 141, 78-87. [Google Scholar] [CrossRef] [PubMed]
[12] Kirk, B., Zanker, J. and Duque, G. (2020) Osteosarcopenia: Epide-miology, Diagnosis, and Treatment-Facts and Numbers. Journal of Cachexia, Sarcopenia and Muscle, 11, 609-618. [Google Scholar] [CrossRef] [PubMed]
[13] Yang, T.L., Shen, H., Liu, A., Dong, S.S., et al. (2020) A Road Map for Understanding Molecular and Genetic Determinants of Osteoporosis. Nature Reviews Endocrinology, 16, 91-103. [Google Scholar] [CrossRef] [PubMed]
[14] Chen, L.K., Woo, J., Assantachai, P., et al. (2020) Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Journal of the American Medi-cal Directors Association, 21, 300-307.e2. [Google Scholar] [CrossRef] [PubMed]
[15] Cruz-Jentoft, A.J., Bahat, G., Bauer, J., et al. (2019) Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: Revised European Consensus on Definition and Diagnosis. Age Ageing, 48, 16-31. [Google Scholar] [CrossRef] [PubMed]
[16] Clynes, M.A., Gregson, C.L., Bruyère, O., et al. (2021) Osteosarcope-nia: Where Osteoporosis and Sarcopenia Collide. Rheumatology (Oxford), 60, 529-537. [Google Scholar] [CrossRef] [PubMed]
[17] Hirschfeld, H.P., Kinsella, R. and Duque, G. (2017) Osteosar-copenia: Where Bone, Muscle, and Fat Collide. Osteoporosis International, 28, 2781-2790. [Google Scholar] [CrossRef] [PubMed]
[18] Fagundes Belchior, G., Kirk, B., Pereira da Silva, E.A., et al. (2020) Osteosarcopenia: Beyond Age-Related Muscle and Bone Loss. European Geriatric Medicine, 11, 715-724. [Google Scholar] [CrossRef] [PubMed]
[19] Chen, J.Y., Chou, C.H., Lee, Y.L., et al. (2010) Association of Central Aortic Pressures Indexes with Development of Diabetes Mellitus in Essential Hypertension. American Journal of Hypertension, 23, 1069-1073. [Google Scholar] [CrossRef] [PubMed]
[20] Muhanmmad, I.F., Borne, Y., Ostling, G., et al. (2017) Arterial Stiffness and Incidence of Diabetes: A Population-Based Cohort Study. Diabetes Care, 40, 1739-1745. [Google Scholar] [CrossRef] [PubMed]
[21] Weber, T. (2010) Arterial Stiffness, Wave Reflections, and Diabetes: A Bi-directional Relationship? American Journal of Hypertension, 23, 1047-1048. [Google Scholar] [CrossRef] [PubMed]
[22] Zheng, M., Zhang, X., Chen, S., et al. (2020) Arterial Stiffness Preced-ing Diabetes: A Longitudinal Study. Circulation Research, 127, 1491-1498. [Google Scholar] [CrossRef
[23] Vlachopoulos, C., Aznaouridis, K., Terentes-Printzios, D., et al. (2012) Prediction of Cardiovascular Events and All-Cause Mortality with Brachial-Ankle Elasticity Index: A Systematic Review and Meta-Analysis. Hypertension, 60, 556-562. [Google Scholar] [CrossRef
[24] Tomiyama, H., Koji, Y., Yambe, M., et al. (2005) Brachia-l Ankle Pulse Wave Velocity Is a Simple and Independent Predictor of Prognosis in Patients with Acute Coronary Syndrome. Circulation Journal‚ 69, 815-822. [Google Scholar] [CrossRef] [PubMed]
[25] Yan, N., Zhou, Y., Wang, Y., et al. (2016) Association of Ideal Cardio-vascular Health and Brachial-Ankle Pulse Wave Velocity: A Cross-Sectional Study in Northern China. Journal of Stroke and Cerebrovascular Diseases, 25, 41-48. [Google Scholar] [CrossRef] [PubMed]
[26] Park, J.B., Sharman, J.E., Li, Y., et al. (2022) Ex-pert Consensus on the Clinical Use of Pulse Wave Velocity in Asia. Pulse (Basel), 10, 1-18. [Google Scholar] [CrossRef] [PubMed]
[27] Li, X.S., He, H., Zhao, Y.L., et al. (2016) Bone Mineral Density Is Nega-tively Associated with Arterial Stiffness in Men with Hypertension. The Journal of Clinical Hypertension (Greenwich), 18, 1106-1111. [Google Scholar] [CrossRef] [PubMed]
[28] Tang, K., Zhang, Q., Peng, N., et al. (2021) Brachial-Ankle Pulse Wave Velocity Is Associated with the Risk of Osteoporosis: A Cross-Sectional Evidence from a Chinese Community-Based Cohort. Journal of Orthopaedic Surgery and Research, 16, Article No. 3. [Google Scholar] [CrossRef] [PubMed]