Factors associated with nocturnal hypoglycemia in at-risk adolescents and young adults with type 1 diabetes

Darrell M Wilson, Peter M Calhoun, David M Maahs, H Peter Chase, Laurel Messer, Bruce A Buckingham, Tandy Aye, Paula K Clinton, Irene Hramiak, Craig Kollman, Roy W Beck, In Home Closed Loop Study Group, Bruce Buckingham, Darrell M Wilson, Tandy Aye, Paula Clinton, Breanne P Harris, H Peter Chase, DavidM Maahs, Robert Slover, Paul Wadwa, Jaime Realsen, Laurel Messer, Irene Hramiak, Terri Paul, Sue Tereschyn, Marsha Driscoll, Olivia Lou, B Wayne Bequette, Fraser Cameron, Roy W Beck, John Lum, Craig Kollman, Peter Calhoun, Judy Sibayan, Nelly M Njeru, Werner Sauer, Jennifer Lott, John C Pickup, Irl Hirsch, Howard Wolpert, Darrell M Wilson, Peter M Calhoun, David M Maahs, H Peter Chase, Laurel Messer, Bruce A Buckingham, Tandy Aye, Paula K Clinton, Irene Hramiak, Craig Kollman, Roy W Beck, In Home Closed Loop Study Group, Bruce Buckingham, Darrell M Wilson, Tandy Aye, Paula Clinton, Breanne P Harris, H Peter Chase, DavidM Maahs, Robert Slover, Paul Wadwa, Jaime Realsen, Laurel Messer, Irene Hramiak, Terri Paul, Sue Tereschyn, Marsha Driscoll, Olivia Lou, B Wayne Bequette, Fraser Cameron, Roy W Beck, John Lum, Craig Kollman, Peter Calhoun, Judy Sibayan, Nelly M Njeru, Werner Sauer, Jennifer Lott, John C Pickup, Irl Hirsch, Howard Wolpert

Abstract

Background: Hypoglycemia remains an impediment to good glycemic control, with nocturnal hypoglycemia being particularly dangerous. Information on major contributors to nocturnal hypoglycemia remains critical for understanding and mitigating risk.

Materials and methods: Continuous glucose monitoring (CGM) data for 855 nights were studied, generated by 45 subjects 15-45 years of age with hemoglobin A1c (HbA1c) levels of ≤8.0% who participated in a larger randomized study. Factors assessed for potential association with nocturnal hypoglycemia (CGM measurement of <60 mg/dL for ≥30 min) included bedtime blood glucose (BG), exercise intensity, bedtime snack, insulin on board, day of the week, previous daytime hypoglycemia, age, gender, HbA1c level, diabetes duration, daily basal insulin, and daily insulin dose.

Results: Hypoglycemia occurred during 221 of 885 (25%) nights and was more frequent with younger age (P<0.001), lower HbA1c levels (P=0.006), medium/high-intensity exercise during the preceding day (P=0.003), and the occurrence of antecedent daytime hypoglycemia (P=0.001). There was a trend for lower bedtime BG levels to be associated with more frequent nocturnal hypoglycemia (P=0.10). Bedtime snack, before bedtime insulin bolus, weekend versus weekday, gender, and daily basal and bolus insulin were not associated with nocturnal hypoglycemia.

Conclusions: Awareness that HbA1c level, exercise, bedtime BG level, and daytime hypoglycemia are all modifiable factors associated with nocturnal hypoglycemia may help patients and providers decrease the risk of hypoglycemia at night. Risk for nocturnal hypoglycemia increased in a linear fashion across the range of variables, with no clear-cut thresholds to guide clinicians or patients for any particular night.

Trial registration: ClinicalTrials.gov NCT01591681.

Figures

FIG. 1.
FIG. 1.
Factors related to overnight hypoglycemia. aNights with hypoglycemia had at least 30 min below 60 mg/dL. bLinear relationship fitted for continuous factor. cExercise intensity and snacks entered by the subjects. BG, blood glucose; HbA1c, hemoglobin A1c.
FIG. 2.
FIG. 2.
Predicted overnight hypoglycemia by (A) bedtime blood glucose or (B) daytime hypoglycemia and exercise. Lines represent the predicted probability of hypoglycemia based on the repeated-measures regression model. Dots represent the least square means of the observed percentage of hypoglycemia.

Source: PubMed

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