180
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Development and Validation of Prediction Models for All-Cause Mortality and Cardiovascular Mortality in Patients on Hemodialysis: A Retrospective Cohort Study in China

ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon & ORCID Icon show all
Pages 1175-1190 | Received 01 May 2023, Accepted 22 Jul 2023, Published online: 28 Jul 2023

References

  • Ene-Iordache B, Perico N, Bikbov B, et al. Chronic kidney disease and cardiovascular risk in six regions of the world (ISN-KDDC): a cross-sectional study. Lancet Glob Health. 2016;4(5):e307–19. doi:10.1016/s2214-109x(16)00071-1
  • 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
  • Bikbov B, Purcell CA, Levey AS. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395(10225):709–733. doi:10.1016/S0140-6736(20)30045-3
  • Himmelfarb J, Ikizler TA. Hemodialysis. N Engl J Med. 2010;363(19):1833–1845. doi:10.1056/NEJMra0902710
  • Liyanage T, Ninomiya T, Jha V, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet. 2015;385(9981):1975–1982. doi:10.1016/S0140-6736(14)61601-9
  • Wang F, Yang C, Long J, et al. Executive summary for the 2015 annual data report of the China Kidney Disease Network (CK-NET). Kidney Int. 2019;95(3):501–505. doi:10.1016/j.kint.2018.11.011
  • Johansen KL, Chertow GM, Gilbertson DT, et al. US renal data system 2021 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2022;4(Suppl 1):A8–A12. doi:10.1053/j.ajkd.2022.02.001
  • Loutradis C, Sarafidis PA, Ferro CJ, et al. Volume overload in hemodialysis: diagnosis, cardiovascular consequences, and management. Nephrol Dial Transplant. 2021;36(12):2182–2193. doi:10.1093/ndt/gfaa182
  • Liu ZH. Nephrology in China. Nat Rev Nephrol. 2013;9(9):523–528. doi:10.1038/nrneph.2013.146
  • Saran R, Robinson B, Abbott KC, et al. US renal data system 2019 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2020;75(1 Suppl 1):A6–a7. doi:10.1053/j.ajkd.2019.09.003
  • Ok E, Asci G, Chazot C, et al. Controversies and problems of volume control and hypertension in haemodialysis. Lancet. 2016;388(10041):285–293. doi:10.1016/S0140-6736(16)30389-0
  • Bulbul MC, Dagel T, Afsar B, et al. Disorders of lipid metabolism in chronic kidney disease. Blood Purif. 2018;46(2):144–152. doi:10.1159/000488816
  • Lerner B, Desrochers S, Tangri N. Risk prediction models in CKD. Semin Nephrol. 2017;37(2):144–150. doi:10.1016/j.semnephrol.2016.12.004
  • You X, Huang YY, Wang Y, et al. Prediction model for cardiovascular disease risk in hemodialysis patients. Int Urol Nephrol. 2022;54(5):1127–1134. doi:10.1007/s11255-021-02984-7
  • Floege J, Gillespie IA, Kronenberg F, et al. Development and validation of a predictive mortality risk score from a European hemodialysis cohort. Kidney Int. 2015;87(5):996–1008. doi:10.1038/ki.2014.419
  • Tangri N, Grams ME, Levey AS, et al. Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis. JAMA. 2016;315(2):164–174. doi:10.1001/jama.2015.18202
  • Ranstam J, Cook JA. Kaplan-Meier curve. Br J Surg. 2017;104(4):442. doi:10.1002/bjs.10238
  • Fisher LD, Lin DY. Time-dependent covariates in the Cox proportional-hazards regression model. Annu Rev Public Health. 1999;20:145–157. doi:10.1146/annurev.publhealth.20.1.145
  • Moolgavkar SH, Chang ET, Watson HN, Lau EC. An assessment of the cox proportional hazards regression model for epidemiologic studies. Risk Anal. 2018;38(4):777–794. doi:10.1111/risa.12865
  • Ng R, Sutradhar R, Yao Z, Wodchis WP, Rosella LC. Smoking, drinking, diet and physical activity-modifiable lifestyle risk factors and their associations with age to first chronic disease. Int J Epidemiol. 2020;49(1):113–130. doi:10.1093/ije/dyz078
  • Zhou B, Fine J, Latouche A, Labopin M. Competing risks regression for clustered data. Biostatistics. 2012;13(3):371–383. doi:10.1093/biostatistics/kxr032
  • Wu X, Du J, Li L, Cao W, Sun S. Bayesian age-period-cohort prediction of mortality of type 2 diabetic kidney disease in China: a modeling study. Front Endocrinol. 2021;12:767263. doi:10.3389/fendo.2021.767263
  • Carrero JJ, Hecking M, Chesnaye NC, Jager KJ. Sex and gender disparities in the epidemiology and outcomes of chronic kidney disease. Nat Rev Nephrol. 2018;14(3):151–164. doi:10.1038/nrneph.2017.181
  • Neugarten J, Golestaneh L. Gender and the prevalence and progression of renal disease. Adv Chronic Kidney Dis. 2013;20(5):390–395. doi:10.1053/j.ackd.2013.05.004
  • Grams ME, Sang Y, Ballew SH, et al. Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int. 2018;93(6):1442–1451. doi:10.1016/j.kint.2018.01.009
  • De Vriese AS, Vandecasteele SJ, Van den Bergh B, et al. Should we screen for coronary artery disease in asymptomatic chronic dialysis patients? Kidney Int. 2012;81(2):143–151. doi:10.1038/ki.2011.340
  • Gurm HS, Gore JM, Anderson FA, et al. Comparison of acute coronary syndrome in patients receiving versus not receiving chronic dialysis (from the Global Registry of Acute Coronary Events [GRACE] Registry). Am J Cardiol. 2012;109(1):19–25. doi:10.1016/j.amjcard.2011.07.062
  • Cheng HT, Xu X, Lim PS, Hung KY. Worldwide epidemiology of diabetes-related end-stage renal disease, 2000–2015. Diabetes Care. 2021;44(1):89–97. doi:10.2337/dc20-1913
  • Faselis C, Katsimardou A, Imprialos K, et al. Microvascular complications of type 2 diabetes mellitus. Curr Vasc Pharmacol. 2020;18(2):117–124. doi:10.2174/1570161117666190502103733
  • Wanner C, Inzucchi SE, Lachin JM, et al. Empagliflozin and progression of kidney disease in type 2 diabetes. N Engl J Med. 2016;375(4):323–334. doi:10.1056/NEJMoa1515920
  • Marrocos MSM, Teixeira AA, Quinto BM, et al. Diabetes acts on mortality in hemodialysis patients predicted by asymmetric dimethylarginine and inflammation. Nefrologia. 2022;49(2):177–185. doi:10.1016/j.nefro.2021.02.006
  • Hu K, Peng H, Ma Y, et al. Analysis of glycemic improvement in hemodialysis patients based on time in range, assessed by flash glucose monitoring. Blood Purif. 2021;50(6):883–890. doi:10.1159/000513162
  • Nesrallah GE, Suri RS, Guyatt G, et al. Biofeedback dialysis for hypotension and hypervolemia: a systematic review and meta-analysis. Nephrol Dial Transplant. 2013;28(1):182–191. doi:10.1093/ndt/gfs389
  • Hannedouche T, Roth H, Krummel T, et al. Multiphasic effects of blood pressure on survival in hemodialysis patients. Kidney Int. 2016;90(3):674–684. doi:10.1016/j.kint.2016.05.025
  • Cohen-Hagai K, Fanadka F, Grumberg T, et al. Diastolic blood pressure is associated with brain atrophy in hemodialysis patients: a single center case-control study. Ther Apher Dial. 2022;26(1):94–102. doi:10.1111/1744-9987.13647
  • Chang TI, Streja E, Soohoo M, et al. Association of serum triglyceride to HDL cholesterol ratio with all-cause and cardiovascular mortality in incident hemodialysis patients. Clin J Am Soc Nephrol. 2017;12(4):591–602. doi:10.2215/CJN.08730816
  • Moradi H, Streja E, Kashyap ML, Vaziri ND, Fonarow GC, Kalantar-Zadeh K. Elevated high-density lipoprotein cholesterol and cardiovascular mortality in maintenance hemodialysis patients. Nephrol Dial Transplant. 2014;29(8):1554–1562. doi:10.1093/ndt/gfu022
  • Jeong SM, Choi S, Kim K, et al. Effect of change in total cholesterol levels on cardiovascular disease among young adults. J Am Heart Assoc. 2018;12:27.
  • Rogacev KS, Pinsdorf T, Weingärtner O, et al. Cholesterol synthesis, cholesterol absorption, and mortality in hemodialysis patients. Clin J Am Soc Nephrol. 2012;7(6):943–948. doi:10.2215/CJN.05170511
  • Johansen KL, Chertow GM, Foley RN, et al. US renal data system 2020 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2021;77(4 Suppl 1):A7–A8. doi:10.1053/j.ajkd.2021.01.002