Disthabanchong S.Kasempin P.Srisuwarn P.Chansomboon P.Buachum N.Mahidol University2024-06-082024-06-082024-05-01PLoS ONE Vol.19 No.5 (2024)https://repository.li.mahidol.ac.th/handle/123456789/98658Introduction Hyperphosphatemia and hyperparathyroidism are common in end-stage kidney disease and are associated with poor outcomes. In addition to adequate dialysis, medications are usually required for optimum control of serum phosphate and parathyroid hormone (PTH) levels. The use of calcium-based phosphate binders (CBPBs) and active vitamin D is associated with an increase in serum calcium and worsening vascular calcification. To overcome these limitations, non-calcium-based phosphate binders (NCBPBs) and calcimimetics have been developed. However, the coverage for these new medications remains limited in several parts of the world due to the lack of patient-level outcome data and cost. The present study examined the differences in mineral outcomes between two main categories of healthcare programs that provided different coverage for medications used to control mineral and bone disorders (MBD). The Social Security/Universal Coverage (SS/UC) program covered only CBPBs and active vitamin D, whereas the Civil Servant/State Enterprise (CS/SE) program provided coverage of CBPBs, active vitamin D, NCBPBs, and calcimimetics. Methods This 10-year retrospective cohort study examined the differences in mineral outcomes between two healthcare programs in maintenance hemodialysis patients. The differences in serum calcium, phosphate, and PTH levels, as well as the aortic arch calcification score, were analyzed according to dialysis vintage by linear mixed-effects regression analyses. The difference in the composite outcome of severe hyperparathyroidism and parathyroidectomy was analyzed by the Cox-proportional hazard regression model.MultidisciplinaryThe impact of accessibility to non-calcium-based phosphate binders and calcimimetics on mineral outcomes in patients receiving maintenance hemodialysis: A 10-year retrospective analysis of real-world dataArticleSCOPUS10.1371/journal.pone.03046492-s2.0-8519488685519326203