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Total 11 results found since Jan 2013.

Severe paraneoplastic hypoglycemia secondary to a gastrointestinal stromal tumour masquerading as a stroke.
We report the case of a 70-year-old previously healthy female who presented acutely to the Accident and Emergency department with left-sided vasomotor symptoms including reduced muscle tone, weakness upon walking and slurred speech. Physical examination confirmed hemiparesis with VIIth nerve palsy and profound hepatomegaly. A random glucose was low at 1.7 mmol/l, which upon correction resolved her symptoms. In hindsight, the patient recalled having had similar episodes periodically over the past 3 months to which she did not give much attention. While hospitalized, she continued having episodes of symptomatic hypoglycaem...
Source: Diabetes Metab - November 7, 2015 Category: Endocrinology Authors: Dimitriadis GK, Gopalakrishnan K, Rao R, Grammatopoulos DK, Randeva HS, Weickert MO, Murthy N Tags: Endocrinol Diabetes Metab Case Rep Source Type: research

Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trials
Publication date: Available online 10 August 2017 Source:The Lancet Diabetes & Endocrinology Author(s): Sanjay Basu, Jeremy B Sussman, Seth A Berkowitz, Rodney A Hayward, John S Yudkin Background In view of substantial mis-estimation of risks of diabetes complications using existing equations, we sought to develop updated Risk Equations for Complications Of type 2 Diabetes (RECODe). Methods To develop and validate these risk equations, we used data from the Action to Control Cardiovascular Risk in Diabetes study (ACCORD, n=9635; 2001–09) and validated the equations for microvascular events using data from the Di...
Source: The Lancet Diabetes and Endocrinology - August 11, 2017 Category: Endocrinology Source Type: research

Neuroimaging and Neurolaw: Drawing the Future of Aging
Vincenzo Tigano1, Giuseppe Lucio Cascini2, Cristina Sanchez-Castañeda3, Patrice Péran4 and Umberto Sabatini5* 1Department of Juridical, Historical, Economic and Social Sciences, University of Magna Graecia, Catanzaro, Italy 2Department of Experimental and Clinical Medicine, University of Magna Graecia, Catanzaro, Italy 3Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain 4ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France 5Department of Medical and Surgical Sciences, University of Magna Graecia, Catanzaro, ...
Source: Frontiers in Endocrinology - April 7, 2019 Category: Endocrinology Source Type: research

Osteoporosis and Sarcopenia Increase Frailty Syndrome in the Elderly
Conclusions World population is aging and the increase in life expectancy is often unhealthy. In particular, musculoskeletal aging, which leads to sarcopenia and osteoporosis, has several causes such as changes in body composition, inflammation, and hormonal imbalance. Sarcopenia, osteoporosis, and more frequently, sarcopenic obesity are commonly associated with aging and frequently closely linked each other, often leading to the development of a frailty syndrome. Frailty syndrome favors an increased risk of loss function in daily activities, for cardiovascular diseases, cancers, falls, and mortality. As the number of eld...
Source: Frontiers in Endocrinology - April 23, 2019 Category: Endocrinology Source Type: research

Deep learning approach for diabetes prediction using PIMA Indian dataset
ConclusionThe outcome of the study confirms that DL provides the best results with the most promising extracted features. DL achieves the accuracy of 98.07% which can be used for further development of the automatic prognosis tool. The accuracy of the DL approach can further be enhanced by including the omics data for prediction of the onset of the disease.
Source: Journal of Diabetes and Metabolic Disorders - April 13, 2020 Category: Endocrinology Source Type: research

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research

Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine
CONCLUSIONSIn patients with T2DM and ASCVD, cluster analysis identified four clinically distinct groups. Further cardiovascular phenotyping is warranted to inform patient care and optimize clinical trial designs.
Source: Diabetes Care - October 29, 2021 Category: Endocrinology Source Type: research

Dietary genistein and 17 β-estradiol implants differentially influence locomotor and cognitive functions following transient focal ischemia in middle-aged ovariectomized rats at different lengths of estrogen deprivation
This study suggests that the neuroprotective effects of dietary genistein on motor and cognitive functions are distinctly influenced by the length of estrogen deprivation following focal ischemia. SIGNIFICANCE: There is an increasing postmenopausal population opting for homeopathic medicines for the management of menopausal symptoms due to the perceived distrust in estrogen use as hormone replacement. Basic and clinical studies support the notion that early, but not delayed, hormone replacement after menopause is beneficial. Furthermore, evidence suggests that delaying hormone replacement augments the detrimental, rather t...
Source: Hormones and Behavior - June 2, 2022 Category: Endocrinology Authors: Anthony Oppong-Gyebi Daniel Metzger Philip H Vann Nathalie Sumien Derek A Schreihofer Source Type: research

Predicting The Onset Of Diabetes-Related Complications After A Diabetes Diagnosis With Machine Learning Algorithms
The burden of Diabetes has been ranked as the eighth cause in the ranking of causes of disability-adjusted life years (DALYs) all over the world [1,2], accounting for 2.8% of total DALYs and with an increase of more than 148% in 2019 as compared with the data obtained in 1990 [2]. Diabetes is one of the most significant factors increasing the risk of mortality, morbidity, and disability worldwide, and its economic burden demands new ways to curb diabetes healthcare expenditure [3]. Furthermore, people with diabetes are at greater risk of additionally suffering from cardiovascular diseases, such as heart attack or stroke [4...
Source: Diabetes Research and Clinical Practice - September 15, 2023 Category: Endocrinology Authors: Toni Mora, David Roche, Beatriz Rodr íguez-Sánchez Source Type: research