Journal of Internal Medicine Concepts & Practice ›› 2021, Vol. 16 ›› Issue (06): 427-430.doi: 10.16138/j.1673-6087.2021.06.012
• Review article • Previous Articles Next Articles
Received:2021-08-27
Online:2021-12-27
Published:2022-07-25
CLC Number:
| [1] | Li Y, Teng D, Shi X, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association[J]. BMJ, 2020, 369: m997. |
| [2] |
Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045[J]. Diabetes Res Clin Pract, 2019, 157: 107843.
doi: 10.1016/j.diabres.2019.107843 URL |
| [3] |
Li S, Nemeth I, Donnelly L, et al. Visit-to-visit HbA1c variability is associated with cardiovascular disease and microvascular complications in patients with newly diagnosed type 2 diabetes[J]. Diabetes Care, 2020, 43(2): 426-432.
doi: 10.2337/dc19-0823 URL |
| [4] |
Virk SA, Donaghue KC, Cho YH, et al. Association between HbA1c variability and risk of microvascular com-plications in adolescents with type 1 diabetes[J]. J Clin Endocrinol Metab, 2016, 101(9): 3257-3263.
doi: 10.1210/jc.2015-3604 URL |
| [5] |
Iuchi H, Sakamoto M, Matsutani D, et al. The durability of basal insulin affects day-to-day glycemic variability assessed by continuous glucose monitoring in type 2 diabetes patients[J]. Diabetes Technol Ther, 2017, 19(8): 457-462.
doi: 10.1089/dia.2017.0028 URL |
| [6] |
Sun B, He F, Gao Y, et al. Prognostic impact of visit-to-visit glycemic variability on the risks of major adverse cardiovascular outcomes and hypoglycemia in patients with different glycemic control and type 2 diabetes[J]. Endocrine, 2019, 64(3): 536-543.
doi: 10.1007/s12020-019-01893-1 URL |
| [7] |
Gorst C, Kwok CS, Aslam S, et al. Long-term glycemic variability and risk of adverse outcomes[J]. Diabetes Care, 2015, 38(12): 2354-2369.
doi: 10.2337/dc15-1188 URL |
| [8] |
Walker GS, Chen JY, Hopkinson H, et al. Structured education using dose adjustment for normal eating (DAFNE) reduces long-term HbA1c and HbA1c variability[J]. Diabet Med, 2018, 35(6): 745-749.
doi: 10.1111/dme.13621 URL |
| [9] |
Wadén J, Forsblom C, Thorn LM, et al. A1c variability predicts incident cardiovascular events, microalbuminuria, and overt diabetic nephropathy in patients with type 1 diabetes[J]. Diabetes, 2009, 58(11): 2649-2655.
doi: 10.2337/db09-0693 URL |
| [10] |
Shen Y, Dai D, Lu J, et al. Visit-to-visit variability of glycated albumin was associated with incidence or progression of lower extremity atherosclerotic disease[J]. Cardiovasc Diabetol, 2020, 19(1): 211.
doi: 10.1186/s12933-020-01187-1 pmid: 33302958 |
| [11] |
Wan EY, Fung CS, Fong DY, et al. Association of variability in hemoglobin A1c with cardiovascular diseases and mortality in Chinese patients with type 2 diabetes mellitus[J]. J Diabetes Complications, 2016, 30(7): 1240-1247.
doi: 10.1016/j.jdiacomp.2016.05.024 URL |
| [12] | Zorena K. Anti-inflammatory therapy in diabetic retinopathy[J]. Mediators Inflamm, 2014, 2014: 947896. |
| [13] |
Kollias AN, Ulbig MW. Diabetic retinopathy: early diagnosis and effective treatment[J]. Dtsch Arztebl Int, 2010, 107(5): 75-83.
doi: 10.3238/arztebl.2010.0075 pmid: 20186318 |
| [14] |
Hermann JM, Hammes HP, Rami-Merhar B, et al. HbA1c variability as an independent risk factor for diabetic retinopathy in type 1 diabetes: a German/Austrian multicenter analysis on 35,891 patients[J]. PLoS One, 2014, 9(3): e91137.
doi: 10.1371/journal.pone.0091137 URL |
| [15] |
Rosa LCGFD, Zajdenverg L, Souto DL, et al. HbA1cvariability and long-term glycemic control are linked to diabetic retinopathy and glomerular filtration rate in patients with type 1 diabetes and multiethnic background[J]. J Diabetes Complications, 2019, 33(9): 610-615.
doi: 10.1016/j.jdiacomp.2019.05.022 URL |
| [16] |
Penno G, Solini A, Bonora E, et al. HbA1c variability as an independent correlate of nephropathy, but not retinopathy, in patients with type 2 diabetes[J]. Diabetes Care, 2013, 36(8): 2301-2310.
doi: 10.2337/dc12-2264 URL |
| [17] |
Foo V, Quah J, Cheung G, et al. HbA1c, systolic blood pressure variability and diabetic retinopathy in Asian type 2 diabetics[J]. J Diabetes, 2017, 9(2): 200-207.
doi: 10.1111/1753-0407.12403 URL |
| [18] |
Takao T, Suka M, Yanagisawa H, et al. Predictive ability of visit-to-visit variability in HbA1c and systolic blood pressure for the development of microalbuminuria and retinopathy in people with type 2 diabetes[J]. Diabetes Res Clin Pract, 2017, 128: 15-23.
doi: 10.1016/j.diabres.2017.03.027 URL |
| [19] | 胡佳琪, 徐慧君, 刘超, 等. HbA1c变异性的影响因素及其对2型糖尿病视网膜病变的作用[J]. 中华内分泌代谢杂志, 2020, 36(5): 381-386. |
| [20] | Ioannou K. Diabetic nephropathy: is it always there? Assumptions, weaknesses and pitfalls in the diagnosis[J]. Hormones (Athens), 2017, 16(4): 351-361. |
| [21] |
Li L, Jiang XG, Hu JY, et al. The association between interleukin-19 concentration and diabetic nephropathy[J]. BMC Nephrol, 2017, 18(1): 65.
doi: 10.1186/s12882-017-0488-7 pmid: 28201997 |
| [22] |
Furuichi K, Shimizu M, Hara A, et al. Diabetic nephropathy: a comparison of the clinical and pathological features between the CKD risk classification and the classification of diabetic nephropathy 2014 in Japan[J]. Intern Med, 2018, 57(23): 3345-3350.
doi: 10.2169/internalmedicine.1132-18 URL |
| [23] | Lin CC, Chen CC, Chen FN, et al. Risks of diabetic nephropathy with variation in hemoglobin A1c and fasting plasma glucose[J]. Am J Med, 2013, 126(11): 1017. |
| [24] |
Yun KJ, Kim HJ, Kim MK, et al. Risk factors for the development and progression of diabetic kidney disease in patients with type 2 diabetes mellitus and advanced diabetic retinopathy[J]. Diabetes Metab J, 2016, 40(6): 473-481.
doi: 10.4093/dmj.2016.40.6.473 URL |
| [25] |
Dorajoo SR, Ng JSL, Goh JHF, et al. HbA1c variability in type 2 diabetes is associated with the occurrence of new-onset albuminuria within three years[J]. Diabetes Res Clin Pract, 2017, 128: 32-39.
doi: 10.1016/j.diabres.2017.02.007 URL |
| [26] |
Vinik AI, Park TS, Stansberry KB, et al. Diabetic neuropathies[J]. Diabetologia, 2000, 43(8): 957-973.
pmid: 10990072 |
| [27] |
Feldman EL, Nave KA, Jensen TS, et al. New horizons in diabetic neuropathy: mechanisms, bioenergetics, and pain[J]. Neuron, 2017, 93(6): 1296-1313.
doi: S0896-6273(17)30089-2 pmid: 28334605 |
| [28] |
Su JB, Zhao LH, Zhang XL, et al. HbA1c variability and diabetic peripheral neuropathy in type 2 diabetic patients[J]. Cardiovasc Diabetol, 2018, 17(1): 47.
doi: 10.1186/s12933-018-0693-0 URL |
| [29] |
Lai YR, Chiu WC, Huang CC, et al. HbA1c variability is strongly associated with the severity of peripheral neuropathy in patients with type 2 diabetes[J]. Front Neurosci, 2019, 13: 90.
doi: 10.3389/fnins.2019.00090 URL |
| [30] |
Cardoso CRL, Leite NC, Moram CBM, et al. Long-term visit-to-visit glycemic variability as predictor of micro- and macrovascular complications in patients with type 2 diabetes[J]. Cardiovasc Diabetol, 2018, 17(1): 33.
doi: 10.1186/s12933-018-0677-0 pmid: 29477146 |
| [31] |
Teliti M, Cogni G, Sacchi L, et al. Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients[J]. Diab Vasc Dis Res, 2018, 15(5): 424-432.
doi: 10.1177/1479164118780808 URL |
| [32] |
Lai YR, Huang CC, Chiu WC, et al. HbA1c variability is strongly associated with the severity of cardiovascular autonomic neuropathy in patients with type 2 diabetes after longer diabetes duration[J]. Front Neurosci, 2019, 13: 458.
doi: 10.3389/fnins.2019.00458 URL |
| [33] |
Yang Y, Lee EY, Cho JH, et al. Cardiovascular autonomic neuropathy predicts higher HbA1c variability in subjects with type 2 diabetes mellitus[J]. Diabetes Metab J, 2018, 42(6): 496-512.
doi: 10.4093/dmj.2018.0026 URL |
| [34] |
Jang JY, Moon S, Cho S, et al. Visit-to-visit HbA1c and glucose variability and the risks of macrovascular and microvascular events in the general population[J]. Sci Rep, 2019, 9(1): 1374.
doi: 10.1038/s41598-018-37834-7 URL |
| [35] |
Shen Y, Zhou J, Shi L, et al. Association between visit-to-visit HbA1c variability and the risk of cardiovascular disease in patients with type 2 diabetes[J]. Diabetes Obes Metab, 2021, 23(1): 125-135.
doi: 10.1111/dom.14201 URL |
| [36] |
Sheng CS, Tian J, Miao Y, et al. Prognostic significance of long-term HbA1c variability for all-cause mortality in the ACCORD trial[J]. Diabetes Care, 2020, 43(6): 1185-1190.
doi: 10.2337/dc19-2589 URL |
| [1] | LU Lin, DAI Yang, WANG Xiaoqun, et al. Several advances of translational research in cardiovascular diseases [J]. Journal of Internal Medicine Concepts & Practice, 2022, 17(05): 369-372. |
| [2] | . [J]. Journal of Internal Medicine Concepts & Practice, 2022, 17(04): 349-352. |
| [3] | XU Qing, SHAO Huiying, CHEN Shuai, QUAN Jinwei, ZHOU Qingfen, WANG Minhui. The tele-nursing education and guidance ameliorate coronary plaque progression in patients with type 2 diabetes mellitus [J]. Journal of Internal Medicine Concepts & Practice, 2022, 17(04): 330-333. |
| [4] | . [J]. Journal of Internal Medicine Concepts & Practice, 2022, 17(04): 344-348. |
| [5] | . [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 373-375. |
| [6] | . [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 376-380. |
| [7] | SUN Yan, DAI Danjiao, CHEN Zhiwei, ZHANG Huaqing. Effect of canagliflozin on urinary albumin / creatinine ratio and urinary podocyte-associated protein nephrin in patients with early diabetic kidney disease [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 387-391. |
| [8] | ZHAO Qingqing, ZHOU Jinxin, PAN Yu, JU Huijun, ZHU Liying, LIU Yang, ZHANG Yifan. Effect of high-dose glucocorticoid on glucose metabolism in rats [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 397-403. |
| [9] | . [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 418-421. |
| [10] | . [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(06): 422-426. |
| [11] | . [J]. Journal of Internal Medicine Concepts & Practice, 2021, 16(02): 129-130. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
