Results 81 to 90 of about 2,069,350 (347)
A Big Role for microRNAs in Gestational Diabetes Mellitus
Maternal diabetes is associated with pregnancy complications and poses a serious health risk to both mother and child. Growing evidence suggests that pregnancy complications are more frequent and severe in pregnant women with pregestational type 1 ...
Matladi Masete+8 more
doaj +1 more source
Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah+6 more
wiley +1 more source
Vitamin D e diabetes melito: uma atualização 2013 [PDF]
Vitamin D deficiency and diabetes mellitus are two common conditions and they are widely prevalent across all ages, races, geographical regions, and socioeconomic conditions.
Bandeira, Francisco+4 more
core +2 more sources
The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type
ABSTRACT Objective Determine the association between diabetes and metabolic syndrome (MetS) burden (number of MetS criteria fulfilled) and pain, neuropathy severity, and fiber type involvement in individuals with established polyneuropathy. Methods The Peripheral Neuropathy Research Registry was queried for individuals with type 1 and type 2 diabetes ...
Long Davalos+13 more
wiley +1 more source
Objective Metabolic syndrome (MetS) is a known comorbidity of psoriatic arthritis (PsA) and is associated with PsA disease activity. We aimed to explore the association between MetS and radiographic features (peripheral and axial) in PsA. Methods We included patients with PsA followed at our prospective observational cohort for the period between 1978 ...
Fadi Kharouf+6 more
wiley +1 more source
Spectral analysis of the blood flow in the foot microvascular bed during thermal testing in patients with diabetes mellitus [PDF]
Timely diagnostics of microcirculatory system abnormalities which are the most severe diabetic complications, is a significant problem of modern health care. Functional abnormalities manifest themselves earlier than the structural one and their assessment is the focus of present-day studies.
arxiv +1 more source
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care [PDF]
Type 2 diabetes mellitus (T2DM) is a chronic disease that often results in multiple complications. Risk prediction and profiling of T2DM complications is critical for healthcare professionals to design personalized treatment plans for patients in diabetes care for improved outcomes. In this paper, we study the risk of developing complications after the
arxiv +1 more source
: Hyperglycaemia has been reported to cause increased production of oxygen free radicals. Oxidative stress may contribute to the pathogenesis of diabetic complications. Coenzyme Q10 (CoQ10) is known for its key role in mitochondrial bioenergetics and is
T. Menke+3 more
semanticscholar +1 more source
Metabolic Consequences of Rheumatoid Arthritis
Patients with rheumatoid arthritis (RA) may have metabolic disruption, which can contribute to adverse long‐term outcomes, for multiple reasons. Patients with RA appear to have a higher risk of sarcopenia, type 1 and type 2 diabetes mellitus, metabolic syndrome, and hypertension. Systemic inflammation in RA can cause a “lipid paradox,” with reduced low‐
Stevie Barry+2 more
wiley +1 more source
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System [PDF]
Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally. The alarming increase in diabetes calls for the need to take precautionary measures to avoid/predict the occurrence of diabetes. This paper proposes HealthEdge, a machine learning-based smart healthcare framework for type 2 diabetes prediction in an ...
arxiv