1,180
Views
0
CrossRef citations to date
0
Altmetric
Chronic Kidney Disease and Progression

Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon
Article: 2303205 | Received 08 Sep 2023, Accepted 01 Jan 2024, Published online: 29 Jan 2024

References

  • KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl (2011). 2013;3(1):1–10. doi: 10.1038/kisup.2012.77.
  • Hill NR, Fatoba ST, Oke JL, et al. Global prevalence of chronic kidney Disease - A systematic review and Meta-Analysis. PLoS One. 2016;11(7):e0158765. doi: 10.1371/journal.pone.0158765.
  • Luyckx VA, Al-Aly Z, Bello AK, et al. Sustainable development goals relevant to kidney health: an update on progress. Nat Rev Nephrol. 2021;17(1):15–32. doi: 10.1038/s41581-020-00363-6.
  • Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet. 2012;379(9818):815–822. doi: 10.1016/s0140-6736(12)60033-6.
  • Ritz E, McClellan WM. Overview: increased cardiovascular risk in patients with minor renal dysfunction: an emerging issue with Far-Reaching consequences. J Am Soc Nephrol. 2004;15(3):513–516. doi: 10.1097/01.Asn.0000115398.92270.30.
  • Go AS, Chertow GM, Fan D, et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004;351(13):1296–1305. doi: 10.1056/NEJMoa041031.
  • James MT, Hemmelgarn BR, Tonelli M. Early recognition and prevention of chronic kidney disease. Lancet. 2010;375(9722):1296–1309. doi: 10.1016/s0140-6736(09)62004-3.
  • Boulware LE, Jaar BG, Tarver-Carr ME, et al. Screening for proteinuria in US adults: a cost-effectiveness analysis. Jama. 2003;290(23):3101–3114. doi: 10.1001/jama.290.23.3101.
  • Chien KL, Lin HJ, Lee BC, et al. A prediction model for the risk of incident chronic kidney disease. Am J Med. 2010;123(9):836–846.e2. doi: 10.1016/j.amjmed.2010.05.010.
  • Sun F, Yu K, Tao QM, et al. Estimated risks on developing chronic kidney disease within 5 years for adults aged 35-74 based on Taiwan MJ health-checkup database. Chin Prev Med. 2013;14(1):47–52. doi: 10.16506/j.1009-6639.2013.01.006.
  • Wen J, Hao J, Zhang Y, et al. Risk scores for predicting incident chronic kidney disease among rural chinese people: a village-based cohort study. BMC Nephrol. 2020;21(1):120. doi: 10.1186/s12882-020-01787-9.
  • Yu Y, Zhao Q, Jiang Y, et al. Prediction models and nomograms of 3-year risk of chronic kidney disease in China: a study from the shanghai suburban adult cohort and biobank (2016-2020). Ann Transl Med. 2021;9(22):1690–1690. doi: 10.21037/atm-21-5647.
  • Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–612. doi: 10.7326/0003-4819-150-9-200905050-00006.
  • Writing Group of 2018 Chinese Guidelines for the Management of Hypertension CHL, Chinese Society of Cardiology, Chinese Medical Doctor Association Hypertension Committee, Hypertension Branch of China International Exchange and Promotive Association for Medical and Health Care, Hypertension Branch of Chinese Geriatric Medical Association. 2018 Chinese guidelines for the management of hypertension. Chin J Cardiovasc Med. 2019;24(01):24–56. doi: 10.3969/j.issn.1007-5410.2019.01.002.
  • Society CD. Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition). Chinese Journal of Practical Internal Medicine. 2021;41(08):668–695. doi: 10.19538/j.nk2021080106.
  • Ren L, Gao Y, Jiang Y, et al. Association between blood pressure indicators and stroke in aged population: a community-based nested Case-Control study. Clin Interv Aging. 2021;16:997–1005. doi: 10.2147/cia.S304847.
  • adults JciCgftmodi. 2016 Chinese guideline for the management of dyslipidemia in adults. Chinese Circulation Journal. 2016;31(10):937–953. doi: 10.3969/j.issn.1000-3614.2016.10.001.
  • EGoKCQCCi S. Guidelines for early screening, diagnosis, prevention and treatment of chronic kidney disease (2022 edition). Chinese Journal of Nephrology. 2022;38(5):453–464. doi: 10.3760/cma.j.cn441217-20210819-00067.
  • Reference range of commonly used clinical biochemical test items, N.H.a.F.P.C.o.t.P.s.R.o. China, Editor. 2015.
  • Kerr KF, Brown MD, Zhu K, et al. Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use. J Clin Oncol. 2016;34(21):2534–2540. doi: 10.1200/jco.2015.65.5654.
  • Lee MY, Huang JC, Chen SC, et al. Association of HbA variability and renal progression in patients with type 2 diabetes with chronic kidney disease stages 3-4. IJMS. 2018;19(12):4116. doi: ARTN 4116 doi: 10.3390/ijms19124116.
  • Thomas MC, Brownlee M, Susztak K, et al. Diabetic kidney disease. Nat Rev Dis Primers. 2015;1:15018. doi: 10.1038/nrdp.2015.18.
  • Mikolasevic I, Žutelija M, Mavrinac V, et al. Dyslipidemia in patients with chronic kidney disease: etiology and management. Int J Nephrol Renovasc Dis. 2017;10:35–45. doi: 10.2147/ijnrd.S101808.
  • Iseki K. The Okinawa screening program. J Am Soc Nephrol. 2003;14(7 Suppl 2):S127–S30. doi: 10.1097/01.asn.0000070153.91733.09.
  • Moorhead JF, Chan MK, El-Nahas M, et al. Lipid nephrotoxicity in chronic progressive glomerular and tubulo-interstitial disease. Lancet. 1982;2(8311):1309–1311. doi: 10.1016/s0140-6736(82)91513-6.
  • Cases A, Coll E. Dyslipidemia and the progression of renal disease in chronic renal failure patients. Kidney Int Suppl. 2005;68(99):S87–S93. doi: 10.1111/j.1523-1755.2005.09916.x.
  • Pasala S, Carmody JB. How to use… serum creatinine, cystatin C and GFR. Arch Dis Child Educ Pract Ed. 2017;102(1):37–43. doi: 10.1136/archdischild-2016-311062.
  • Kelly JT, Su G, Zhang L, et al. Modifiable lifestyle factors for primary prevention of CKD: a systematic review and Meta-Analysis. J Am Soc Nephrol. 2021;32(1):239–253. doi: 10.1681/asn.2020030384.
  • Viana JL, Kosmadakis GC, Watson EL, et al. Evidence for anti-inflammatory effects of exercise in CKD. J Am Soc Nephrol. 2014;25(9):2121–2130. doi: 10.1681/asn.2013070702.
  • Dungey M, Young HML, Churchward DR, et al. Regular exercise during haemodialysis promotes an anti-inflammatory leucocyte profile. Clin Kidney J. 2017;10(6):813–821. doi: 10.1093/ckj/sfx015.
  • Hale KK, Smith CG, Baker SL, et al. Multifunctional regulation of the biological effects of TNF-alpha by the soluble type I and type II TNF receptors. Cytokine. 1995;7(1):26–38. doi: 10.1006/cyto.1995.1004.
  • Muras-Szwedziak K, Masajtis-Zagajewska A, Pawłowicz E, et al. Effects of a structured physical activity program on serum adipokines and markers of inflammation and volume overload in kidney transplant recipients. Ann Transplant. 2019;24:569–575. doi: 10.12659/aot.917047.
  • Shantsila E, Wrigley B, Tapp L, et al. Immunophenotypic characterization of human monocyte subsets: possible implications for cardiovascular disease pathophysiology. J Thromb Haemost. 2011;9(5):1056–1066. doi: 10.1111/j.1538-7836.2011.04244.x.
  • Goldberg AP, Geltman EM, Gavin JR, 3rd, et al. Exercise training reduces coronary risk and effectively rehabilitates hemodialysis patients. Nephron. 1986;42(4):311–316. doi: 10.1159/000183694.
  • Bailey JL. Insulin resistance and muscle metabolism in chronic kidney disease. ISRN Endocrinol. 2013;2013:329606–329614. doi: 10.1155/2013/329606.
  • Bowlby W, Zelnick LR, Henry C, et al. Physical activity and metabolic health in chronic kidney disease: a cross-sectional study. BMC Nephrol. 2016;17(1):187. doi: 10.1186/s12882-016-0400-x.
  • Mallamaci F, Pisano A, Tripepi G. Physical activity in chronic kidney disease and the EXerCise introduction to enhance trial. Nephrol Dial Transplant. 2020;35(Suppl 2):ii18–ii22. doi: 10.1093/ndt/gfaa012.
  • Inaguma D, Kitagawa A, Yanagiya R, et al. Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: a machine learning-based prediction model by using a big database. PLoS One. 2020;15(9):e0239262. doi: 10.1371/journal.pone.0239262.
  • Low S, Lim SC, Zhang X, et al. Development and validation of a predictive model for chronic kidney disease progression in type 2 diabetes mellitus based on a 13-year study in Singapore. Diabetes Res Clin Pract. 2017;123:49–54. doi: 10.1016/j.diabres.2016.11.008.
  • Yang XL, So WY, Kong AP, et al. End-stage renal disease risk equations for Hong Kong chinese patients with type 2 diabetes: hong Kong diabetes registry. Diabetologia. 2006;49(10):2299–2308. doi: 10.1007/s00125-006-0376-3.
  • Nelson RG, Grams ME, Ballew SH, et al. Development of risk prediction equations for incident chronic kidney disease. Jama. 2019;322(21):2104–2114. doi: 10.1001/jama.2019.17379.
  • Bidani AK, Polichnowski AJ, Loutzenhiser R, et al. Renal microvascular dysfunction, hypertension and CKD progression. Curr Opin Nephrol Hypertens. 2013;22(1):1–9. doi: 10.1097/MNH.0b013e32835b36c1.
  • Hamrahian SM, Falkner B. Hypertension in chronic kidney disease. Adv Exp Med Biol. 2017;956:307–325. doi: 10.1007/5584_2016_84.
  • Jiang Z, Wang Y, Zhao X, et al. Obesity and chronic kidney disease. Am J Physiol Endocrinol Metab. 2023;324(1):E24–e41. doi: 10.1152/ajpendo.00179.2022.
  • Echouffo-Tcheugui JB, Kengne AP. Risk models to predict chronic kidney disease and its progression: a systematic review. PLoS Med. 2012;9(11):e1001344. doi: 10.1371/journal.pmed.1001344.
  • Wang L, Xu X, Zhang M, et al. Prevalence of chronic kidney disease in China: results from the sixth China chronic disease and risk factor surveillance. JAMA Intern Med. 2023;183(4):298–310. doi: 10.1001/jamainternmed.2022.6817.