Type 1 diabetes

Analysis of real‐world capillary blood glucose data to help reduce HbA1c and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variation

Diabet MedPublished Retrospective cohort study

Authors' conclusion

HbA1c <58 mmol/mol (7.5%) is achievable even when only ~60% of CBG readings are between 3.9-10 mmol/L. Examining readings subsequent to out-of-range readings suggests useful behaviours which people with type 1 diabetes could be supported to adhere to, both in a clinic and structured education programmes, thereby decreasing the risk of hypoglycaemia whilst also reducing hyperglycaemia and improving HbA1c .

Study context

Population
Adults with T1D, real-world capillary blood glucose (CBG) datasplit into HbA1c quartiles
Participants
682 adults
Exposure
HbA1c quartiles; re-testing within 30 min of hypoglycaemia vs not
Outcome
Proportions of CBG readings in different ranges at different HbA1c levels
Methodological detailsreal-world data, stratified by HbA1c quartile
  • Real-world data
  • Stratified by HbA1c quartile

Main finding

As reported in the abstract

CBG readings in target range (3.9-10 mmol/L)

P < 0.05

Observational data: associations, not effects.

Further findings

Hypoglycaemia by HbA1c quartile

Hypoglycaemia often preceded by hyperglycaemia, and vice-versa; twice as likely in highest HbA1c quartile

Hypoglycaemia with re-testing within 30 min of hypoglycaemia

Re-testing within 30 min of hypoglycaemia associated with less hypoglycaemia, 1.6% vs 7.2%; also reduces subsequent hyperglycaemia and further hypoglycaemia in the next 24 h
P < 0.001

Glycaemic variability and hypoglycaemia

CV (but not SD) highly associated with hypoglycaemia
r = 0.71
CV ≤ 36% equates to CBG readings in hypoglycaemic range
3.3%

Original publication

Analysis of real‐world capillary blood glucose data to help reduce HbA1c and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variation. Diabet Med. Published 20 October 2022. doi:10.1111/dme.14972

Composed by AI from the published abstract and checked against it. How Briefs are made →

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