Publications by authors named "N Ejskjaer"
This study explored surface brain morphometry in type 1 diabetes including focus on painful diabetic peripheral neuropathy (DPN). Brain MRI was obtained from 56 individuals with diabetes (18 without DPN, 19 with painless DPN, 19 with painful DPN) and 20 healthy controls. Cortical thickness, sulcus depth, and gyrification were analysed globally and regionally in each group and in the combined diabetes group.
View Article and Find Full Text PDFIntroduction/aims: Diabetic peripheral neuropathy affects small nerve fibers early, but adequate evaluation has proven difficult. One method for functional assessment of small nerve fiber function is the axon-reflex flare (ARF) response. This study aimed to 1) validate the histamine-induced ARF response in a nonselected population with diabetes, 2) compare the response to that induced by local heating, and 3) compare both methods to an established method (quantitative sensory testing) in a nonselected population with diabetes.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates the effectiveness of a new assessment method, called the Psi method, for measuring perception thresholds in diabetic peripheral neuropathy (DPN) compared to the traditional Method of Limits (MoL).
- Results showed that the Psi method yielded similar threshold values as the MoL but was more efficient, requiring fewer stimuli (30 compared to more for MoL) and producing less uncertainty.
- The authors recommend the Psi method for its reliability and efficiency in evaluating nerve function in patients with diabetes, suggesting it may be a better option for clinical use in the future.
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.
Article Synopsis
- An error grid is a tool that helps compare glucose levels measured by devices to see if they are correct and to identify any risks.
- Experts created a new error grid called the DTS Error Grid that works for both blood glucose monitors (BGMs) and continuous glucose monitors (CGMs), organizing accuracy into five risk zones.
- The results showed that the DTS Error Grid provides a clearer picture of how accurate these devices are and includes a separate matrix to evaluate how well CGMs track glucose trends over time.