Abstract
Aims
To explore associations between multimorbidity condition counts (total; concordant
(diabetes-related); discordant (unrelated to diabetes)) and glycaemia (HbA1c; glycaemic
variability (GV); time in range (TIR)) using data from a randomised controlled trial
examining effectiveness of continuous glucose monitoring (CGM) in people with type
2 diabetes (T2D).
Methods
Cross-sectional study: 279 people with T2D using baseline data from the General Practice
Optimising Structured MOnitoring To Improve Clinical outcomes (GP-OSMOTIC) trial from
25 general practices in Australia. Number of long-term conditions (LTCs) in addition
to T2D used to quantify total/concordant/discordant multimorbidity counts. GV (measured
by coefficient of variation (CV)) and TIR derived from CGM data. Multivariable linear
regression models used to examine associations between multimorbidity counts, HbA1c
(%), GV and TIR.
Results
Mean (SD) age of participants 60.4 (9.9) years; 40.9% female. Multimorbidity was present
in 89.2% of participants. Most prevalent comorbid LTCs: hypertension (57.4%), painful
conditions (29.8%), coronary heart disease (22.6%) and depression (19.0%). No evidence
of associations between multimorbidity counts, HbA1c, GV and TIR.
Conclusions
While multimorbidity was common in this T2D cohort, it was not associated with HbA1c,
CV or TIR. Future studies should explore factors other than glycaemia that contribute
to the increased mortality observed in those with multimorbidity and T2D.
Keywords
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Article info
Publication history
Published online: September 16, 2020
Accepted:
September 14,
2020
Received in revised form:
August 12,
2020
Received:
April 29,
2020
Identification
Copyright
© 2020 Elsevier B.V. All rights reserved.
