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Impact of demographics and disease progression on the relationship between glucose and HbA1c

Claussen, Anetta (author)
Certara Strateg Consulting, Basel, Switzerland.;Novo Nordisk AS, Quantitat Clin Pharmacol, Vandtarnvej 108-110, Soborg, Denmark.
Möller, Jonas B. (author)
Novo Nordisk AS, New Prod Planning, Soborg, Denmark.
Kristensen, Niels R. (author)
Novo Nordisk AS, Quantitat Clin Pharmacol, Vandtarnvej 108-110, Soborg, Denmark.
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Klim, Sören (author)
Novo Nordisk AS, Biostat, Soborg, Denmark.
Kjellsson, Maria C., 1975- (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Ingwersen, Steen H. (author)
Novo Nordisk AS, Quantitat Clin Pharmacol, Vandtarnvej 108-110, Soborg, Denmark.
Karlsson, Mats O (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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Certara Strateg Consulting, Basel, Switzerland;Novo Nordisk AS, Quantitat Clin Pharmacol, Vandtarnvej 108-110, Soborg, Denmark. Novo Nordisk AS, New Prod Planning, Soborg, Denmark. (creator_code:org_t)
ELSEVIER SCIENCE BV, 2017
2017
English.
In: European Journal of Pharmaceutical Sciences. - : ELSEVIER SCIENCE BV. - 0928-0987 .- 1879-0720. ; 104, s. 417-423
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Context: Several studies have shown that the relationship between mean plasma glucose (MPG) and glycated haemoglobin (HbA1c) may vary across populations. Especially race has previously been referred to shift the regression line that links MPG to HbA1c at steady-state (Herman & Cohen, 2012).Objective: To assess the influence of demographic and disease progression-related covariates on the intercept of the estimated linear MPG-HbA1c relationship in a longitudinal model.Data: Longitudinal patient-level data from 16 late-phase trials in type 2 diabetes with a total of 8927 subjects was used to study covariates for the relationship between MPG and HbA1c. The analysed covariates included age group, HMI, gender, race, diabetes duration, and pre-trial treatment. Differences between trials were taken into account by estimating a trial-to-trial variability component.Participants: Participants included 47% females and 20% above 65 years. 77% were Caucasian, 9% were Asian, 5% were Black and the remaining 9% were analysed together as other races.Analysis: Estimates of the change in the intercept of the MPG-HbA1c relationship due to the mentioned covariates were determined using a longitudinal model.Results: The analysis showed that pre-trial treatment with insulin had the most pronounced impact associated with a 0.34% higher HbA1c at a given MPG. However, race, diabetes duration and age group also had an impact on the MPG-HbA1c relationship.Conclusion: Our analysis shows that the relationship between MPG and HbA1c is relatively insensitive to covariates, but shows small variations across populations, which may be relevant to take into account when predicting HbA1c response based on MPG measurements in clinical trials.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)

Keyword

Diabetes mellitus
Glycated haemoglobin
Meta-analysis
Modelling
HbA1c

Publication and Content Type

ref (subject category)
art (subject category)

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