Skip to main content
News Directory 3
  • Home
  • Business
  • Entertainment
  • Health
  • News
  • Sports
  • Tech
  • World
Menu
  • Home
  • Business
  • Entertainment
  • Health
  • News
  • Sports
  • Tech
  • World

Dialysis Patients: Rising Blood Sugar Concerns – UW Medicine

October 27, 2025 Dr. Jennifer Chen Health

“`html

Addressing Glucose Monitoring Discrepancies in Dialysis Patients

Table of Contents

  • Addressing Glucose Monitoring Discrepancies in Dialysis Patients
    • the Disconnect: HbA1c vs. Continuous Glucose‍ Monitoring
    • specific Clinical Measures⁤ When Discrepancies Arise
    • Effectiveness of Interventions &⁢ Current Research Gaps

New⁣ research highlights a meaningful disconnect between HbA1c levels and⁤ continuous glucose monitor⁢ (CGM) readings in dialysis patients, prompting a ‌need for revised clinical approaches. This article details specific measures clinicians should⁣ consider and the current understanding of‌ glucose ​control’s impact on this population.

What: A study reveals discrepancies between HbA1c and CGM data in dialysis patients, indicating frequent undetected glucose fluctuations.
​ ⁣
Where: University of Washington School of‌ Medicine led the research, involving ​420 dialysis⁣ patients.
⁣ ‌‌
When: The study findings were published in ⁤late 2023/early 2024 (date of original article ⁢not specified, but⁣ research is ‌recent ‍as of 2025/10/27).
Why it matters: Conventional HbA1c tests may underestimate ​glucose⁣ variability in dialysis⁤ patients,⁢ perhaps ​leading to‍ suboptimal diabetes management.
What’s next: Further research is needed to determine the clinical benefits of‍ tighter glucose control in this population and⁤ to refine management strategies.

the Disconnect: HbA1c vs. Continuous Glucose‍ Monitoring

A study led by researchers⁤ at⁤ the ⁤University of Washington School of Medicine, published in early 2024, followed 420 dialysis patients using ​continuous glucose monitors (CGMs) for 10 days. The study revealed ⁢a​ substantial difference between ⁤glucose​ levels recorded by‌ CGMs – tracking blood sugar every five minutes – and those reflected in standard ⁤HbA1c⁣ tests. These findings suggest that HbA1c may not accurately represent the day-to-day glucose fluctuations experienced by individuals undergoing ​dialysis.

HbA1c provides an average ⁣glucose level over 2-3 ⁣months, while CGMs offer a dynamic picture​ of glucose trends, including peaks and valleys. Dialysis patients ​have ⁣unique physiological factors – including altered glucose‍ metabolism, inflammation, and​ medication ⁣regimens⁤ – that ​can affect the relationship ⁢between these ⁢two measures. The study exposed a higher volume of both high and⁣ low⁣ blood-sugar episodes than typically identified through standard clinic-based blood draws ⁢(National Kidney Foundation).

specific Clinical Measures⁤ When Discrepancies Arise

When a significant misalignment ​exists between a⁣ dialysis‍ patient’s⁢ CGM ‍data and HbA1c values, clinicians should implement a multi-faceted ‍approach:

  • Thorough Medication Review: ‍ Evaluate all medications,⁢ including those ‍for diabetes, hypertension, and other comorbidities, for potential impacts‍ on ⁢glucose control.Certain medications can mask ‌glucose fluctuations or interfere ​with CGM ⁣accuracy.
  • Dietary Assessment: A detailed review of the patient’s ‌dietary intake, including carbohydrate counting ⁤and timing‍ of meals, is‌ crucial. Collaboration with a registered dietitian specializing ‌in ⁤renal​ disease is‌ highly recommended.
  • Dialysis Adequacy Evaluation: ⁢ Assess the effectiveness of dialysis⁢ treatment. Inadequate dialysis can ‌contribute⁢ to‍ glucose intolerance.
  • CGM Data Analysis: Thoroughly ⁣analyze⁢ CGM data to⁤ identify‍ patterns of hyperglycemia and‍ hypoglycemia. Look ⁣for correlations ‌with meal times, dialysis sessions, ‍and medication management. ​Time in​ Range (TIR)⁤ – the ⁤percentage ⁤of time glucose levels remain​ within a target range (typically‍ 70-180 mg/dL) – is a ‍key metric.
  • Consider Choice HbA1c Assays: Some‍ newer HbA1c assays may be ‌less susceptible to ⁢interference from ​uremia. Discuss with the laboratory the suitability‌ of alternative methods.
  • Patient⁣ Education: Educate ‌patients about CGM interpretation and the importance of self-management. Empower them to recognize and respond to glucose trends.
  • Rule out CGM Errors: Ensure the CGM is properly calibrated and functioning correctly.Sensor placement ‍and skin integrity can affect accuracy.

It’s vital⁤ to⁤ note that there isn’t a universally accepted ​threshold for “significant misalignment.” Clinicians should consider the‍ individual patient’s clinical context and goals⁣ when interpreting discrepancies.

Effectiveness of Interventions &⁢ Current Research Gaps

Share this:

  • Share on Facebook (Opens in new window) Facebook
  • Share on X (Opens in new window) X

Related

Search:

News Directory 3

ByoDirectory is a comprehensive directory of businesses and services across the United States. Find what you need, when you need it.

Quick Links

  • Copyright Notice
  • Disclaimer
  • Terms and Conditions

Browse by State

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado

Connect With Us

© 2026 News Directory 3. All rights reserved.

Privacy Policy Terms of Service