Introduction: We investigated patterns of blood glucose and exogenous insulin requirement in the intensive care unit, and questioned whether they reflect fluctuations in insulin activity.
Methods: Records for burn intensive care unit patients with 7 days of glucose control with insulin were reviewed. Hourly blood glucose and insulin dose were matched for time collected and analyzed with linear and cosine regression. Frequency analysis identified recurring patterns.
Results: Diurnal patterns of blood glucose and insulin requirement were noted (insulin troughs = noon; insulin peaks = midnight; glucose troughs = 5 am; glucose peaks = 5 pm). Average insulin requirement increased at a constant linear rate (slope = .013, r2 = .57, P < or = .001).
Conclusions: Diurnal patterns in blood glucose and insulin requirement mirror those of healthy subjects and may reflect persistence of normal variability in insulin activity. The 5-hour offset in peaks and troughs is suggestive of complex interplay between insulin availability and receptor sensitivity. The insulin requirement to blood glucose ratio increased, evidence that insulin resistance progresses over time.
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http://dx.doi.org/10.1016/j.amjsurg.2007.08.022 | DOI Listing |
J Exp Zool A Ecol Integr Physiol
January 2025
Zoological Programs, Cleveland Metroparks Zoo, Cleveland, Ohio, USA.
Noninvasive evaluations of hormones can contribute to the assessment of health and welfare of animals. Variations in insulin levels and sensitivity, for example, have been linked to health concerns in non-human and human primates including insulin resistance, diabetes, and heart disease, the leading cause of death in zoo-housed gorillas. Few published studies have assessed insulin concentrations in western lowland gorillas (Gorilla gorilla gorilla), and all did so using serum.
View Article and Find Full Text PDFEndocrinol Diabetes Metab Case Rep
January 2025
Summary: Vitamin D is commonly recommended for daily intake as dietary sources are often insufficient. However, prolonged high-dose use can lead to serious complications. We present a rare case of a 2-month-old infant who developed severe hypercalcemia and hypertriglyceridemia due to an accidental overdose of 25-OH vitamin D, leading to hypertriglyceridemia and pancreatitis.
View Article and Find Full Text PDFCureus
December 2024
Public Health, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Adolescents with diabetes mellitus (DM) experience poorer glycemic outcomes and lower adherence to self-management regimens compared to other age groups. The coronavirus 2019 (COVID-19) pandemic posed new barriers to DM self-management, including social distancing measures and additional stressors. We conducted a scoping review of peer-reviewed literature to examine self-management regimens and outcomes among adolescents aged 10-17 years with type 1 and type 2 DM during the pandemic.
View Article and Find Full Text PDFBackground: The use of automated insulin delivery (AID) devices is now widespread in the management of type 1 diabetes (T1D), being used for younger and older children, adolescents and adults. The integration of insulin pumps with continuous glucose monitors (CGM) and smart management software in AID systems has significantly improved glycemic management compared to the separate application of each diabetes technology. The efficacy of AID systems has been demonstrated in randomized controlled trials (RCTs) but it is their application in real-world studies that fully demonstrates their impact for people with T1D.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Kunming Children's Hospital, Kunming, Yunnan, China.
Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS.
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