Aims: The aims were to quantify periventricular and deep white matter hyperintensities (WMHs) in adults with type 1 diabetes with different neuropathic phenotypes and to correlate WMH measurements to explanatory factors in diabetes.
Methods: WMH measurements were obtained from brain magnetic resonance imaging of 56 adults with type 1 diabetes in subgroups including painful diabetic peripheral neuropathy (DPN), painless DPN, without DPN and 20 healthy controls using Fazekas scale and automatic segmentation analysis.
Results: No differences in Fazekas assessed WMHs were found (individuals with periventricular lesions: diabetes 66 % vs.
Objectives: Intra-pancreatic fat deposition (IPFD) is suspected to be associated with various medical conditions. This study aimed to assess pancreatic fat content in lean and obese individuals, characterize obese individuals with and without IPFD, and explore the underlying mechanisms.
Materials And Methods: Sixty-two obese individuals without diabetes and 35 lean controls underwent magnetic resonance imaging (MRI) using proton density fat fraction (PDFF) maps to evaluate pancreatic and hepatic fat content, and visceral adipose tissue (VAT) content.
Introduction: Previous studies suggest that cognitive impairment is more prevalent in individuals with painful and painless diabetic peripheral neuropathy (DPN). However, the current evidence is not well described. This study investigated cognitive function in adults with type 1 diabetes mellitus (T1DM) and the association to painful/painless DPN and clinical parameters.
View Article and Find Full Text PDFPurpose: The purpose of this study was to evaluate different renal proton density fat fraction (PDFF) analysis approaches. Additionally, we assessed renal fat in obese individuals and lean individuals.
Methods: This was a retrospective observational case-control study.
Aim: To identify patterns and characteristics of polypharmacy among elderly residents in Danish nursing homes in the Northern region of Denmark.
Materials & Methods: Twenty-five nursing homes were contacted, where each supplied 20 randomly selected anonymized residents' information. Residents were 65 years or older, concurrently taking five or more medications.