Objective: Describe the clinical, metabolic and psychosocial characteristics observed among patients with early onset type 2 diabetes (T2DM).
Methods: We included 80 consecutive patients with early onset T2DM. All had a medical record, completed a battery of questionnaires and had blood and urine tests.
Results: Mean age was 49 +/- 12 years, 57.5% were women, 76.2% had a family history of diabetes and 68.8% a personal history of obesity. Diabetes was diagnosed at the mean age of 32 +/- 6 years with a mean duration of 17 +/- 11 years. Most patients (66.2%) were on poor glycemic control (Alc > 9.0%) and 30% were depressed. Insulin was commonly needed (80% of the patients) and started on average 9 years after diagnosis Significant diabetes related complications were common (71.3% of patients). A longer diabetes duration was the variable most significantly associated with developing complications (p < 0.00001).
Conclusions: Patients with early onset T2DM constitute 27.8% of the total number of diabetic patients attending our clinic; they are characterized by a stronger family history of diabetes, a personal history of obesity and co-morbidities associated with metabolic syndrome. Longer disease course and poor glycemic control contribute to a high prevalence of diabetes related complications and high rates of mortality.
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Aust N Z J Obstet Gynaecol
January 2025
Reproductive Services Unit, The Royal Women's Hospital, Parkville, Australia.
Background: Modern assisted reproductive technology (ART), including pre-implantation genetic testing for aneuploidy (PGT-A), has opened new avenues in understanding early embryonic events and has simultaneously raised questions about the impact of ART itself on sex ratios.
Aims: The primary aim was to investigate whether patient demographic characteristics, ovarian stimulation protocols or laboratory characteristics in ART influence sex ratios. The secondary aim was to relate the blastocyst sex ratio (BSR) to the corresponding secondary sex ratio (SSR) in our patient cohort.
Cancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
Cancer
February 2025
Departmental Unit of Molecular and Genomic Diagnostics, Genomics Core Facility, G-STeP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background: To date, 11 DNA polymerase epsilon (POLE) pathogenic variants have been declared "hotspot" mutations. Patients with endometrial cancer (EC) characterized by POLE hotspot mutations (POLEmut) have exceptional survival outcomes. Whereas international guidelines encourage deescalation of adjuvant treatment in early-stage POLEmut EC, data regarding safety in POLEmut patients with unfavorable characteristics are still under investigation.
View Article and Find Full Text PDFTransfus Med
January 2025
Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Objectives: Trauma-induced coagulopathy (TIC) can be fatal but preventable if recognised early. With emerging uses of rotational thromboelastometry (ROTEM) to guide transfusions in trauma, patient outcomes with TIC-defined by initial ROTEM and conventional coagulation tests (CCTs) during massive haemorrhage protocol (MHP) activations were evaluated at a primary trauma centre in British Columbia.
Methods: This retrospective observational study included adult trauma patients requiring MHP from June 1, 2020, to May 31, 2022.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
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