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.
journal_name
Diabetes Res Clin Practjournal_title
Diabetes research and clinical practiceauthors
Chiang JI,Manski-Nankervis JA,Thuraisingam S,Jenkins A,O'Neal D,Mair FS,Jani BD,Nicholl BI,Furler Jdoi
10.1016/j.diabres.2020.108451subject
Has Abstractpub_date
2020-11-01 00:00:00pages
108451eissn
0168-8227issn
1872-8227pii
S0168-8227(20)30704-Xjournal_volume
169pub_type
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