Unravelling dialysis-related dysglycaemia: Longitudinal insights from continuous glucose monitoring

Hellena Hailu Habte-Asres1,2, Ayodele Agbabiaka2, Roha Rehan2

  • 1Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.

Insights

Continuous glucose monitoring (CGM) in patients on maintenance hemodialysis showed initial improvements in time in range (TIR) that were not sustained. Hypoglycaemia burden increased over 12 months, highlighting the need for individualized diabetes management.

Area of Science:

  • Endocrinology
  • Nephrology
  • Metabolic Diseases

Background:

  • Diabetes management in patients undergoing maintenance hemodialysis is complex.
  • Continuous glucose monitoring (CGM) offers detailed insights into glycemic control.
  • Understanding glycemic trajectories and risks in this population is crucial.

Purpose of the Study:

  • To characterize 12-month glycemic trajectories using CGM in maintenance hemodialysis patients.
  • To assess changes in hypoglycemia burden and composite glycemic risk.
  • To evaluate the utility of CGM for guiding individualized diabetes care.

Main Methods:

  • Longitudinal observational study involving 125 maintenance hemodialysis patients.
  • CGM data collected at baseline, 6, and 12 months.
  • Analysis of time in range (TIR), time below range (TBR), time above range (TAR), glycemic variability (GV), hypoglycemia burden, and glycemic risk index (GRI).

Main Results:

  • Time in range (TIR) improved at 6 months but declined by 12 months.
  • Time below range (TBR) showed a small increase over time.
  • Hypoglycemia burden increased significantly over the 12-month study period.
  • Glycemic variability (GV) and glycemic risk index (GRI) remained largely unchanged.
  • Moderate concordance observed between CGM and HbA1c.

Conclusions:

  • CGM reveals dynamic glycemic patterns in hemodialysis patients.
  • Initial glycemic improvements are not consistently maintained.
  • Increased hypoglycemia burden necessitates careful monitoring and management.
  • CGM data supports personalized diabetes management strategies focusing on safety and stability.
Abstract

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