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article · Kidney International Reports

WCN26-7648 PROGNOSTIC VALUE OF CREATININE ON ADMISSION OF INTENSIVE CARE PATIENTS: A SINGLE-CENTER COHORT STUDY

Abstract

Introduction: Background: Mineral and bone disorder in CKD is associated with increased mortality and morbidity.CKD-MBD status is comprised of biochemical abnormalities, vascular calcification and bone fragility and each is consistently associated with elevated risk for mortality and morbidity across the spectrum of CKD.This study was aimed to assess the biochemical markers of mineral and bone disorder of CKD in Maintenance Hemodialysis patients.Methods: This hospital based cross sectional study was conducted at the Department of Nephrology in a tertiary hospital of Bangladesh.A total 129 Maintenance Hemodialysis patients were enrolled according to selection criteria.Results: Result: The mean age of the patients was 43.96 14 years ranged from 18 -76 years among them 42.64 % was female and 57.36 % was male.Mean duration of dialysis was 15.488 months ranged from 6 months to 84 months.Mean BMI was in between 18.5 to 24.9 Kg/m2 which was normal and after that patient were malnourished.Most frequent causes of CKD were glomerulonephritis, diabetes mellitus and hypertension.Mean iPTH was 351.663202.577pg/ml and according to the level of iPTH patients were subdivided into three groups where majority of the patients were in High bone turn over group which was 39.5% and 8.6% was low bone turn over.It was found that in high turnover group majority of patients had hypocalcemia which was 34.38% and 74.4% patients had hyperphosphatemia.There was weak negative correlation between iPTH and Hb. Conclusion:In patients on maintenance hemodialysis, abnormalities of biochemical markers of mineral bone disorders were common.Majority of patients had high turnover bone disorder where majority had hypocalcemia.So serial measurements of biochemical marker are very much important in CKD patients.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.

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DOI: 10.1016/j.ekir.2026.105828

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