Major Increases in Morning Glucose Levels May Predict Nocturnal Hypoglycemia in Type 2 Diabetes -retrospective study-

Major Increases in Morning Glucose Levels May Predict Nocturnal Hypoglycemia in Type 2 Diabetes -retrospective study- - Increases glucose predict hypoglycemia.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000018513

Enrollment

106

Registered

2015-07-31

Start date

2015-06-11

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

type 2 diabetes

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: type 2 diabetes who underwent continuous glucose monitoring (CGM) during admission.

Exclusion criteria

Exclusion criteria: take glucose take alpha-GI

Design outcomes

Primary

Measure	Time frame
Pre-breakfast glucose level, highest postprandial glucose level within 3 h after breakfast, time from start of breakfast to the highest postprandial glucose level, difference between pre-breakfast and highest postprandial breakfast glucose levels, area under the curve (AUC) (180 mg/dL) for glycemic variability within 3 h after breakfast, post-breakfast glucose gradient, and the increased glucose level/pre-breakfast glucose level ratio were calculated. We analyzed the associations between these factors and nocturnal hypoglycemia (<70 mg/dL from 0:00 to 8:00) using logistic regression analysis. ROC analysis was used to determine optimal cut-off values to predict nocturnal hypoglycemia.	—

Measure

Time frame

Pre-breakfast glucose level, highest postprandial glucose level within 3 h after breakfast, time from start of breakfast to the highest postprandial glucose level, difference between pre-breakfast and highest postprandial breakfast glucose levels, area under the curve (AUC) (180 mg/dL) for glycemic variability within 3 h after breakfast, post-breakfast glucose gradient, and the increased glucose level/pre-breakfast glucose level ratio were calculated. We analyzed the associations between these factors and nocturnal hypoglycemia (<70 mg/dL from 0:00 to 8:00) using logistic regression analysis. ROC analysis was used to determine optimal cut-off values to predict nocturnal hypoglycemia.

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Countries

Japan

Contacts

Public ContactSoichi Takeishi

Ichinomiyanishi Hospital Department of Endocrinology and Diabetes

souichi19811225@yahoo.co.jp0586-48-0077

Outcome results