Publications by authors named "G D Laverman"
Objectives: To analyse variance in accelerometer-based physical activity (PA) measures in patients with type 2 diabetes, identify the most distinctive PA measures and classify patients into different PA clusters based on these measures.
Design: DIAbetes and LifEstyle Cohort Twente (DIALECT), an observational cohort study.
Setting: Secondary care in the Netherlands.
The Contribution of Postprandial Glucose Levels to Hyperglycemia in Type 2 Diabetes Calculated from Continuous Glucose Monitoring Data: Real World Evidence from the DIALECT-2 Cohort.
Nutrients
October 2024
Background/objectives: Traditional glycemic monitoring in type 2 diabetes is limited, whereas continuous glucose monitoring (CGM) offers better insights into glucose fluctuations. This study aimed to determine the correlations and relative contributions of fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels to hyperglycemia.
Methods: We utilized CGM and recorded carbohydrate intake data from lifestyle diaries of 59 patients enrolled in the Diabetes and Lifestyle Cohort Twente (DIALECT-2).
Article Synopsis
- Semaglutide, a drug for type 2 diabetes, shows promise in reducing albuminuria and slowing kidney disease progression in patients with chronic kidney disease (CKD) in a double-blind clinical trial.
- The study involved 101 participants, comparing those receiving 2.4 mg of semaglutide weekly to a placebo, with a focus on changes in urine albumin-to-creatinine ratio after 24 weeks.
- Results indicated a significant 52.1% reduction in albuminuria for the semaglutide group, although gastrointestinal side effects were more common compared to the placebo group.
Background: The impact of missing data on individual continuous glucose monitoring (CGM) data is unknown but can influence clinical decision-making for patients.
Objective: We aimed to investigate the consequences of data loss on glucose metrics in individual patient recordings from continuous glucose monitors and assess its implications on clinical decision-making.
Methods: The CGM data were collected from patients with type 1 and 2 diabetes using the FreeStyle Libre sensor (Abbott Diabetes Care).
Unlabelled: Laboratory diagnosis of orthohantavirus infection is primarily based on serology. However, for a confirmed serological diagnosis, evaluation of a follow-up serum sample is essential, which is time consuming and causes delay. Real-time reverse transcription polymerase chain reaction (RT-PCR) tests, if positive, provide an immediate and definitive diagnosis, and accurately identify the causative agent, where the discriminative nature of serology is suboptimal.
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