Home Diabetes Complications The association between variability of risk factors and complications in type 2 diabetes mellitus: a retrospective study

The association between variability of risk factors and complications in type 2 diabetes mellitus: a retrospective study

by Lihui Pu
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  • Bo, Z. & Wenying, Y. Outlook for the epidemiology and prevention of diabetes in China. Chin. J. Diab. 11(1), 7–10 (2019).


    Google Scholar
     

  • Chinese, M. A. D. B. Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (Part1). Chin. J. Pract. Internal Med. 41(08), 668–695 (2021).


    Google Scholar
     

  • Fowler, M. J. Microvascular and macrovascular complications of diabetes. Clin. Diab. 26(2), 77–82 (2011).

    Article 

    Google Scholar
     

  • Zhuo, X., Zhang, P. & Hoerger, T. J. Lifetime direct medical costs of treating type 2 diabetes and diabetic complications. Am. J. Prev. Med. 45(3), 253–261 (2013).

    Article 
    PubMed 

    Google Scholar
     

  • Goldhaber-Fiebert, J. D. et al. Inpatient treatment of diabetic patients in Asia: Evidence from India, China Thailand and Malaysia. Diabet. Med. 27(1), 101–108 (2010).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hong, Y. Analysis of complications of type 2 diabetes in patients with treatment costs. Guide China Med. 13(14), 2 (2015).

    ADS 

    Google Scholar
     

  • Viigimaa, M. et al. Macrovascular complications of type 2 diabetes mellitus. Curr. Vasc. Pharmacol. 18(2), 110–116 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Beckman, J. A. & Creager, M. A. Vascular complications of diabetes. Circ. Res. 118(11), 1771–1785 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yang, K. et al. Progress in the treatment of diabetic peripheral neuropathy. Biomed. Pharmacother. 148, 112717 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Selvarajah, D. et al. Diabetic peripheral neuropathy: Advances in diagnosis and strategies for screening and early intervention. Lancet Diabetes Endocrinol. 7(12), 938–948 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Xin, K. & Shuqiong, W. Analysis of risk factors related to peripheral vascular lesions in patients with type 2 diabetes mellitus and clinical application value of ankle-brachial index. J. Med. Inf. (Chinese). 35(05), 127–130 (2022).


    Google Scholar
     

  • Huysman, E. & Mathieu, C. Diabetes and peripheral vascular disease. Acta Chir Belg. 109(5), 587–594 (2009).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Lin, K. Y., Hsih, W. H., Lin, Y. B., Wen, C. Y. & Chang, T. J. Update in the epidemiology, risk factors, screening, and treatment of diabetic retinopathy. J. Diab. Investig. 12(8), 1322–1325 (2021).

    Article 

    Google Scholar
     

  • Takao, T., Suka, M., Yanagisawa, H. & Kasuga, M. Combined effect of diabetic retinopathy and diabetic kidney disease on all-cause, cancer, vascular and non-cancer non-vascular mortality in patients with type 2 diabetes: A real-world longitudinal study. J. Diab. Investig. 11(5), 1170–1180 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Kobayashi, S. et al. Severity and multiplicity of microvascular complications are associated with QT interval prolongation in patients with type 2 diabetes. J. Diab. Investig. 9(4), 946–951 (2018).

    Article 
    CAS 

    Google Scholar
     

  • Lihua, L. The dangers of diabetes and its complications (I). Med. Health Chin. 29(11), 64–66 (2015).


    Google Scholar
     

  • Cardoso, C., Leite, N. C., Moram, C. & Salles, G. F. Long-term visit-to-visit glycemic variability as predictor of micro- and macrovascular complications in patients with type 2 diabetes: The Rio de Janeiro Type 2 Diabetes Cohort Study. Cardiovasc. Diabetol. 17(1), 33 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bahardoust, M. et al. Effect of metformin (vs placebo or sulfonylurea) on all-cause and cardiovascular mortality and incident cardiovascular events in patients with diabetes: an umbrella review of systematic reviews with meta-analysis. J. Diab. Metab. Disord. 1, 1–12 (2023).


    Google Scholar
     

  • Ali, M. K., Bullard, K. M., Saydah, S., Imperatore, G. & Gregg, E. W. Cardiovascular and renal burdens of prediabetes in the USA: Analysis of data from serial cross-sectional surveys, 1988–2014. Lancet Diabetes Endocrinol. 6(5), 392–403 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Huang, Y., Cai, X., Mai, W., Li, M. & Hu, Y. Association between prediabetes and risk of cardiovascular disease and all cause mortality: Systematic review and meta-analysis. BMJ. 355, i5953 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ceriello, A. & Prattichizzo, F. Variability of risk factors and diabetes complications. Cardiovasc. Diabetol. 20(1), 101 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hager, M. R., Narla, A. D. & Tannock, L. R. Dyslipidemia in patients with chronic kidney disease. Rev. Endocr. Metab. Disord. 18(1), 29–40 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Perez-Matos, M. C., Morales-Alvarez, M. C. & Mendivil, C. O. Lipids: A suitable therapeutic target in diabetic neuropathy?. J. Diabetes Res. 2017, 6943851 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pilemann-Lyberg, S. et al. Uric acid is not associated with diabetic nephropathy and other complications in type 1 diabetes. Nephrol. Dial Transplant. 34(4), 659–666 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bjornstad, P. et al. Serum uric acid predicts vascular complications in adults with type 1 diabetes: The coronary artery calcification in type 1 diabetes study. Acta Diabetol. 51(5), 783–791 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ni, J., Ma, X. & Jian, Z. Research progress of abnormal glycemic variability and diabetic complications. Chin. J. Diabetes. 14(4), 388–392 (2022).


    Google Scholar
     

  • Gorst, C. et al. Long-term glycemic variability and risk of adverse outcomes: A systematic review and meta-analysis. Diabetes Care. 38(12), 2354–2369 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Cheng, D. et al. HbA1C variability and the risk of renal status progression in Diabetes Mellitus: A meta-analysis. Plos One. 9(12), e115509 (2014).

    Article 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar
     

  • Li, S. et al. Visit-to-visit HbA(1c) variability is associated with cardiovascular disease and microvascular complications in patients with newly diagnosed type 2 diabetes. Diabetes Care. 43(2), 426–432 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ceriello, A., Monnier, L. & Owens, D. Glycaemic variability in diabetes: Clinical and therapeutic implications. Lancet Diabetes Endocrinol. 7(3), 221–230 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Sharif, S. et al. HDL cholesterol as a residual risk factor for vascular events and all-cause mortality in patients with type 2 diabetes. Diabetes Care. 39(8), 1424–1430 (2016).

    Article 
    CAS 
    PubMed 
    ADS 

    Google Scholar
     

  • Hsu, W. H. et al. Greater low-density lipoprotein cholesterol variability increases the risk of cardiovascular events in patients with type 2 diabetes mellitus. Endocr. Pract. 25(9), 918–925 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Wang, M. C. et al. Effect of blood lipid variability on mortality in patients with type 2 diabetes: a large single-center cohort study. Cardiovasc. Diabetol. 20(1), 228 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Verma, S. et al. Association between uric acid levels and cardio-renal outcomes and death in patients with type 2 diabetes: A subanalysis of EMPA-REG OUTCOME. Diabetes Obes. Metab. 22(7), 1207–1214 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • World HO. Definition, diagnosis and classification of diabetes mellitus and its complications : Report of a WHO consultation. Part 1, Diagnosis and classification of diabetes mellitus (1999).

  • Gan, Y. et al. A study of factors influencing long-term glycemic variability in patients with type 2 diabetes: A structural equation modeling approach. Front. Endocrinol. 14, 1216897 (2023).

    Article 

    Google Scholar
     

  • Su, J. B. et al. HbA1c variability and diabetic peripheral neuropathy in type 2 diabetic patients. Cardiovasc. Diabetol. 17(1), 47 (2018).

    Article 
    MathSciNet 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jeyam, A. et al. Diabetic neuropathy is a substantial burden in people with type 1 diabetes and is strongly associated with socioeconomic disadvantage: A population-representative study from Scotland. Diabetes Care. 43(4), 734–742 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Chiou, S. J., Chang, Y. J., Liao, K. & Chen, C. D. Modest association between health literacy and risk for peripheral vascular disease in patients with type 2 diabetes. Front. Public Health. 10, 946889 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhou, Q., Wang, X., Zhu, X., Yi, Z. & Lijie, Y. Effect of tai chi exercise on quality of life and serum inflammatory factors in patients with type 2 diabetic peripheral vasculopathy. Chin. J. Convalesc. Med. 30(10), 4 (2021).


    Google Scholar
     

  • Zhang, Q., Lou, S., Meng, Z. & Ren, X. Gender and age impacts on the correlations between hyperuricemia and metabolic syndrome in Chinese. Clin. Rheumatol. 30(6), 777–787 (2011).

    Article 
    PubMed 

    Google Scholar
     

  • Antón, F. M., García, P. J., Ramos, T., González, P. & Ordás, J. Sex differences in uric acid metabolism in adults: Evidence for a lack of influence of estradiol-17 beta (E2) on the renal handling of urate. Metabolism. 35(4), 343–348 (1986).

    Article 
    PubMed 

    Google Scholar
     

  • Hsieh, A. et al. Age of diabetes diagnosis and diabetes duration associate with glycated haemoglobin. Diab. Res. Clin. Pract. 104(1), e1-4 (2014).

    Article 
    MathSciNet 
    CAS 

    Google Scholar
     

  • Wei, F. et al. Serum uric acid levels were dynamically coupled with hemoglobin A1c in the development of type 2 diabetes. Sci. Rep. 6, 28549 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar
     

  • Li, J., Chen, W., Shu, W. & Jun, D. Long-term biological variability of serum lipids in Chinese. Chin. J. Lab. Med. 01, 24–26 (2003).


    Google Scholar
     

  • Quan, R. & Jiangqin, O. Analysis of the current status of blood lipid levels and factors affecting dyslipidemia in 3611 medical examiners. China’s Naturop. 30(18), 105–107 (2022).


    Google Scholar
     

  • Sun, H., Rimutu, B., Jienan, A., & Yiru, G. Influence factors of human blood lipid level variation. J. Inner Mongolia Minzu Univ. (Nat. Sci.). (04), 334–338 (2002).

  • Ushula, T. W. et al. Dietary patterns and the risk of abnormal blood lipids among young adults: A prospective cohort study. Nutr. Metab. Cardiovasc. Dis. 32(5), 1165–1174 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Thelle, D. S., Førde, O. H. & Arnesen, E. Distribution of high-density lipoprotein cholesterol according to age, sex, and ethnic origin: Cardiovascular disease study in Finnmark 1977. J. Epidemiol. Community Health. 36(4), 243–247 (1982).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dule, S. et al. Reduced High-Density Lipoprotein Cholesterol Is an Independent Determinant of Altered Bone Quality in Women with Type 2 Diabetes. Int. J. Mol. Sci. 24(7), 1 (2023).

    Article 

    Google Scholar
     

  • Kim, H. J. et al. Changes in high-density lipoprotein cholesterol with risk of Cardiovascular Disease among initially high-density lipoprotein-high participants. Cardiovasc. Diabetol. 22(1), 71 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Luo, X., Huang, Y. & Shuang Feng, Y. Effect of special disease outpatient management on prevalence and efficacy of statin treatment in type 2 diabetic patients: A multicenter community-based study. Chin. Gen. Pract. 22(11), 1277–1282 (2019).


    Google Scholar
     

  • Zhang, A., Quan, J. & Eggleston, K. Association between the quality of primary care, insurance coverage, and diabetes-related health outcomes in a cohort of older adults in China: results from the China Health and Retirement Longitudinal Study. BMJ Open. 12(9), e059756 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hukportie, D. N. et al. Lipid variability and risk of microvascular complications in action to control cardiovascular risk in diabetes (ACCORD) trial: A post hoc analysis. J. Diabetes. 14(6), 365–376 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baum, P., Toyka, K. V., Blüher, M., Kosacka, J. & Nowicki, M. Inflammatory mechanisms in the pathophysiology of diabetic peripheral neuropathy (DN)-new aspects. Int. J. Mol. Sci. 22(19), 1 (2021).

    Article 

    Google Scholar
     

  • Xue, T. et al. Advances about immunoinflammatory pathogenesis and treatment in diabetic peripheral neuropathy. Front. Pharmacol. 12, 748193 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lee, S. et al. Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning. BMC Endocr. Disord. 21(1), 94 (2021).

    Article 
    MathSciNet 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Waters, D. D. et al. Visit-to-visit variability of lipid measurements as predictors of cardiovascular events. J. Clin. Lipidol. 12(2), 356–366 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • Hulse, M. & Gershberg, H. Variability in blood cholesterol, triglycerides, free fatty acids, glucose and body weight in maturity-onset diabetics. Am. J. Med. Sci. 258(2), 114–120 (1969).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Albrink, M. J., Lavietes, P. H. & Man, E. B. Vascular disease and serum lipids in diabetes mellitus. Observations over thirty years (1931–1961). Ann. Intern. Med. 58, 305–323 (1963).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bangalore, S., Breazna, A., DeMicco, D. A., Wun, C. C. & Messerli, F. H. Visit-to-visit low-density lipoprotein cholesterol variability and risk of cardiovascular outcomes: Insights from the TNT trial. J. Am. Coll. Cardiol. 65(15), 1539–1548 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Lewing, B. et al. Effect of inadequate care on diabetes complications and healthcare resource utilization during management of type 2 diabetes in the United States. Postgrad. Med. 134(5), 494–506 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Ding, H. et al. The effects of chronic disease management in primary health care: Evidence from rural China. J. Health Econ. 80, 102539 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Maple-Brown, L. J., Brimblecombe, J., Chisholm, D. & O’Dea, K. Diabetes care and complications in a remote primary health care setting. Diabetes Res. Clin. Pract. 64(2), 77–83 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Brown, A. et al. The influence of health insurance stability on racial/ethnic differences in diabetes control and management. Ethn Dis. 31(1), 149–158 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mao, H., Shen, J., Dong, S. & Jin, M. Influence of compensation scheme of medicare outpatients with special diseases on the patients overall satisfaction. Hosp. Admin. J. Chin. People’s Liber. Army. 22(11), 1028–1030 (2015).


    Google Scholar
     

  • Dong, T., Liu, S. & Jiping, L. Elderly diabetic and hypertension patients’ satisfaction with nursing care in community health service centers of Sichuan Province: A 2931-case study. J. Nurs. (China) 24(09), 7–10 (2017).


    Google Scholar
     

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