Literature DB >> 21838767

Establishing an evidence base for frequency of monitoring glycated haemoglobin levels in patients with Type 2 diabetes: projections of effectiveness from a regression model.

J L Oke1, R J Stevens, K Gaitskell, A J Farmer.   

Abstract

AIMS: Glycated haemoglobin (HbA1c) is monitored to guide treatment decisions in relation to glycaemic goals over time. Changes between two consecutive HbA1c tests result not only from deterioration or improvement in glycaemic control, but also from biovariability and measurement error. We model how this short-term variability impacts on HbA1c monitoring.
METHODS: Using data from a randomized trial of non-insulin treated patients with Type 2 diabetes we fitted a random-effects model for progression and variability of HbA1c. We estimated how many tests where HbA1c ≥ 7.5% (58.5 mmol/mol) would be false-positive (underlying HbA1c < 7.5% but test ≥ 7.5% owing to variability) vs. true-positive, in people with initial HbA1c between 6.5% and 7.3% (48 mmol/mol and 56 mmol/mol).
RESULTS: Participants (n = 320) had mean (SD) age 66 (10) years, BMI 31.3 (6.0) kg/m2 and median HbA1c was 7.1% (54 mmol/mol) with interquartile range 6.6% (49 mmol/mol) to 7.7% (61 mmol/mol). Mean (95% CI) change in HbA1c was 0.1% (1 mmol/mol) with 95% confidence interval 0.05% (0.5 mmol/mol) to 0.15% (2 mmol/mol) per 6 months. The minimum interval at which a true-positive test is more likely than a false positive test is 270 days for a starting HbA1c of 6.9% (52 mmol/mol) and 360 days at a starting value of 6.5% (48 mmol/mol).
CONCLUSION: In patients with initial HbA1c close to treatment goal, retesting at 6 months would yield more true-positive than false-positive tests. For patients with lower initial HbA1c, retesting at 6 months would yield more false than true-positive tests. In all patients, retesting at 12 months yields more true than false-positive tests. In very few patients would retesting at 3 months be justified.
© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.

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Year:  2012        PMID: 21838767     DOI: 10.1111/j.1464-5491.2011.03412.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  3 in total

Review 1.  What methods are being used to create an evidence base on the use of laboratory tests to monitor long-term conditions in primary care? A scoping review.

Authors:  Martha M C Elwenspoek; Lauren J Scott; Katharine Alsop; Rita Patel; Jessica C Watson; Ed Mann; Penny Whiting
Journal:  Fam Pract       Date:  2020-11-28       Impact factor: 2.267

2.  A comparative analysis and review of how national guidelines for chronic disease monitoring are made in low- and middle-income compared to high-income countries.

Authors:  Elton Mukonda; Maia Lesosky
Journal:  J Glob Health       Date:  2021-09-04       Impact factor: 4.413

3.  The minimal informative monitoring interval of N-terminal pro-B-type natriuretic peptide in patients with stable heart failure.

Authors:  Zhehao Dai; Taku Asano; Osamu Takahashi; Nobuyuki Komiyama; Sachiko Ohde
Journal:  BMC Cardiovasc Disord       Date:  2020-06-01       Impact factor: 2.298

  3 in total

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