Developing a Model to Predict Inpatient Hypoglycemic Episodes
NCT05989256 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL
Last updated 2024-08-29
Summary
This study will create a new model to predict hypoglycemic events in diabetic inpatients on anti-hyperglycemic therapy using retrospective data with the goal of developing a model that will accurately predict hypoglycemic episodes in the patient population - piloting the risk score that was developed in the context of EndoTool being rolled out at the institution, to determine the feasibility and acceptability of viewing the risk score in the Electronic Health Record
Conditions
- Hypoglycemic Events
- Hyperglycemic Therapy
Interventions
- DIAGNOSTIC_TEST
-
EndoTool
EndoTool is a vendor based glucose management software
- OTHER
-
glucose management team
comparison group will be services that have not yet implemented EndoTool
- OTHER
-
standard of care glucose management
providers adjusting insulin and consulting the Glucose Management Team at their discretion
Sponsors & Collaborators
-
Wake Forest University Health Sciences
lead OTHER
Principal Investigators
-
Matthew Gorris, MD · Wake Forest University Health Sciences
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-10-31
- Primary Completion
- 2025-01-31
- Completion
- 2025-01-31
- FDA Device
- Yes
Countries
- United States
Study Locations
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