Fe; RAS: Renin angiotensin technique; RRT: Renal replacement therapy; Scr: Serum creatinine; UA: Urine analysis Acknowledgement We deeply thank the Ubon Ratchathani Public Well being Office as well as the Bureau of Strategy and Statistics, Ministry of Public Overall health, Thailand for data collection and management. Funding No funding was obtained for this study. Availability of information and components All information supporting the study belongs to Ubon Ratchathani Public Overall health Office, Ministry of Public Overall health, Thailand. The information is readily available upon request. Authors’ contributions Study concept and style: PV, AT, AI. Acquisitions of information: PV, AT. Analysis and interpretation of information: PV, AT, AI. Drafting on the manuscript: PV, AT, AI.References 1. Ingsathit A, Thakkinstian A, Chaiprasert A, Sangthawan P, Gojaseni P, Kiattisunthorn K, et al. Prevalence and danger factors of chronic kidney disease within the Thai adult population: Thai SEEK study. Nephrol Dial Transplant. 2010; 25(5):15675. two. Aekplakorn W, Chariyalertsak S, Kessomboon P, Sangthong R, Inthawong R, Putwatana P, et al., Thai National Well being Examination Survey IVSG. Prevalence and management of diabetes and metabolic threat aspects in Thai adults: the Thai National Well being Examination Survey IV, 2009. Diabetes Care. 2011;34(9):1980. 3. Boucquemont J, Heinze G, Jager KJ, Oberbauer R, Leffondre K. Regression strategies for investigating risk variables of chronic kidney illness outcomes: the state of your art. BMC Nephrol. 2014;15:45. four. Jager KJ, Stel VS, Zoccali C, Wanner C, Dekker FW. The concern of studying the effect of interventions in renal replacement therapy to what extent might we be deceived by selection and competing threat Nephrol Dial Transplant. 2010;25(12):3836. 5. Pintilie M. Analysing and interpreting competing threat information. Stat Med. 2007; 26(six):1360. 6. Lau B, Cole SR, Gange SJ. Competing risk regression models for epidemiologic information. Am J Epidemiol. 2009;170(two):2446. 7. Andersen PK, Geskus RB, de Witte T, Putter H.Carboxypeptidase B2/CPB2 Protein Species Competing risks in epidemiology: possibilities and pitfalls.Galectin-4/LGALS4 Protein medchemexpress Int J Epidemiol.PMID:24238102 2012;41(three):8610. 8. Vejakama P, Ingsathit A, Attia J, Thakkinstian A. Epidemiological study of chronic kidney disease progression: a large-scale population-based cohort study. Medicine (Baltimore). 2015;94(four):e475. 9. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A brand new equation to estimate glomerular filtration price. Ann Intern Med. 2009;150(9):6042. ten. National Kidney F. KDOQI Clinical Practice Guideline for Diabetes and CKD: 2012 Update. Am J Kidney Dis. 2012;60(5):8506. 11. Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing dangers and multi-state models. Stat Med. 2007;26(11):238930. 12. Royston P, Parmar MK. Versatile parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of therapy effects. Stat Med. 2002; 21(15):21757. 13. Nelson CP, Lambert Pc, Squire IB, Jones DR. Versatile parametric models for relative survival, with application in coronary heart illness. Stat Med. 2007; 26(30):54868.Vejakama et al. BMC Nephrology (2017) 18:Page eight of14. SR H. Versatile parametric illness-death models. Stata J. 2013;13:7595. 15. Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and a few applications. Stat Med. 1991;10(four):5858. 16. White IR, Royston P, Wood AM. Several imputation working with chained equations: Challenges and guidance for practice. Stat Med. 2011;30(four):3779. 17.
