Inpatient hypoglycaemia is a significant concern in patients with diabetes due to its association with increased mortality. At the Veterans Affairs Greater Los Angeles Healthcare System, we developed a project to reduce overnight hypoglycaemia in hospitalised patients with diabetes by addressing insulin stacking, defined as insulin dosed within 4 hours of each other. By delaying the timing of bedtime correctional insulin administration in the electronic health record, we achieved a 28% reduction in the proportion of patients experiencing insulin stacking after one year. This led to significant decreases in overnight hypoglycaemia.
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http://dx.doi.org/10.1136/bmjoq-2024-003178 | DOI Listing |
BMJ Open Qual
March 2025
Medicine, University of California Los Angeles, Los Angeles, California, USA.
Inpatient hypoglycaemia is a significant concern in patients with diabetes due to its association with increased mortality. At the Veterans Affairs Greater Los Angeles Healthcare System, we developed a project to reduce overnight hypoglycaemia in hospitalised patients with diabetes by addressing insulin stacking, defined as insulin dosed within 4 hours of each other. By delaying the timing of bedtime correctional insulin administration in the electronic health record, we achieved a 28% reduction in the proportion of patients experiencing insulin stacking after one year.
View Article and Find Full Text PDFSci Rep
February 2025
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Adipose tissue is a highly dynamic endocrine organ that serves as the body's primary energy reservoir through the storage and mobilization of lipids. Adipocyte cellular size has been recognized as an indicator of cellular status; hypertrophic adipocytes are more prone to insulin resistance and the secretion of pro-inflammatory cytokines. Thus, the size and number of lipids is important to consider both in the clinic with a biopsy and when developing disease models and regenerative tissue constructs.
View Article and Find Full Text PDFBiomacromolecules
March 2025
Department of Chemistry, BITS-Pilani Hyderabad Campus, Hyderabad 500078, India.
Herein, we synthesized a pair of oxidized bisindolyl derivatives with anthracene (probe ) and pyrene (probe ) fluorophores for selective protein aggregate detection, crucial in disorders like Alzheimer's disease. Probe exhibited a significant "turn-on" response (∼12-fold) and concomitant red shift (∼21 nm) with lysozyme aggregates, while showing ∼3-fold fluorescence enhancement with insulin aggregates, indicating high selectivity for aggregated proteins. Probe showed similar responses but with less preference, as compared to probe .
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China.
Background: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels.
View Article and Find Full Text PDFIEEE Trans Biomed Eng
November 2024
For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the effective delivery of insulin by Artificial Pancreas (AP) systems. Deep learning frameworks like Long Short-Term-Memory (LSTM) have been widely used to predict BG using continuous glucose monitor (CGM) data. However, these methods usually require large amounts of training data for personalized forecasts.
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