Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05216926 |
Other study ID # |
PBH Forecast (WP 3) |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
January 18, 2022 |
Est. completion date |
May 31, 2024 |
Study information
Verified date |
June 2024 |
Source |
Insel Gruppe AG, University Hospital Bern |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The overall aim of this study is to prevent hypoglycemic events in patients with hypoglycemia
after a meal and to develop a sustainable hypoglycemia correction strategy.
Description:
Obesity is a major global public health concern, for which the most effective therapy is
bariatric surgery. Beyond weight loss, bariatric surgery exerts powerful effects on glucose
metabolism, achieving complete type 2 diabetes remission in up to 70% of cases. An
exaggeration of these effects, however, can result in an increasingly recognized metabolic
complication known as postprandial hyperinsulinaemic hypoglycaemia or post-bariatric
hypoglycaemia (PBH). The condition manifests 1-3 years after surgery with meal-induced
hypoglycaemic episodes. Emerging data suggests that PBH is more frequent than previously
thought and affects approximately 30% of postoperative patients, more commonly after gastric
bypass than sleeve gastrectomy. Of note, asymptomatic PBH is common, as shown in studies
using continuous glucose monitoring (CGM). It is known from extensive research in people with
diabetes that recurrent episodes of hypoglycaemia impair counter regulatory defences against
subsequent events, predisposing patients to severe hypoglycaemia.
Despite the increasing prevalence of PBH, clinical implications in this population are still
unclear. Anecdotal evidence from patients with PBH suggests a high burden for these patients
due to the recurrent hypoglycaemias with possibly debilitating consequences. It is well
established that even mild hypoglycaemia (plasma glucose of 3.4 mmol/L) in diabetic and
non-diabetic patients impairs various cognitive domains. Of note, some of the cognitive
functions remain impaired for up to 75 min, even when the hypoglycaemia is corrected. Further
concerns exist from observational studies showing associations between PBH during pregnancy
and poor foetal growth.
Thus, it is important to timely detect and treat hypoglycaemia with an intervention that
allows quick recovery of glycaemia to a safe level, thereby alleviating symptoms and
eliminating the risk of potentially hazardous sequelae. Recently, CGM devices have become
standard tools for glucose monitoring in patients with diabetes. CGM allows measuring glucose
levels every 5 min and the continuous access to real-time data offering several approaches
for the prediction of glucose levels or associated events. Such solutions empower patients to
take proactive decisions before reaching critical glucose levels. Apart from glucose levels,
meal information, physical activity or other physiological parameters may augment prediction
performance of hypoglycaemic events. While most engineering work focuses on the prediction of
hypoglycaemia in the diabetic population, only preliminary work has been done in the PBH
population.
Given the potentially hazardous consequences of hypoglycaemia, development of hypoglycaemia
management strategies to adequately predict and treat critical blood glucose levels in the
PBH population are urgently needed. Such strategies have to significantly lower the burden of
PBH and increase patient safety.
The overall aim or this study is to prevent hypoglycaemic events in patients with PBH and to
develop a sustainable hypoglycaemia correction strategy.
The primary objective of WP 3 is to test the efficacy of an intervention for hypoglycaemia
prevention that combines a hypoglycaemia prediction model with a preventive nutritional
action.