Aims: To assess the diagnostic utility of a novel abbreviated monofilament test in comparison with the tuning fork test to detect diabetic peripheral neuropathy in children.

Methods: A total of 88 children with Type 1 diabetes mellitus were screened for diabetic peripheral neuropathy using the monofilament test and the tuning fork. Nerve conduction studies were performed according to the 'gold standard' for neuropathy. We assessed the diagnostic utility and inter-rater agreement of the two screening methods.

Results: A total of 43 (49%) children (aged 6-18 years) had at least one abnormal nerve conduction study result. Diagnostic utility and inter-rater agreement were very low for both screening methods. The monofilament test yielded a sensitivity of 18% and a specificity of 80%. The tuning fork yielded a sensitivity of 0% and a specificity of 98%.

Conclusion: The present study found that an abbreviated monofilament test has low diagnostic utility for the detection of early diabetic peripheral neuropathy because of its low reliability. The problem of reliability needs to be more thoroughly addressed in order to improve the screening procedures in diabetes management in childhood and adolescence.

Download full-text PDF

Source
http://dx.doi.org/10.1111/dme.12684DOI Listing

Publication Analysis

Top Keywords

diagnostic utility
16
monofilament test
16
tuning fork
12
diabetic peripheral
12
peripheral neuropathy
12
abbreviated monofilament
8
nerve conduction
8
utility inter-rater
8
inter-rater agreement
8
yielded sensitivity
8

Similar Publications

Importance: Endocrine treatments, such as Tamoxifen (TAM) and/or Aromatase inhibitors (AI), are the adjuvant therapy of choice for hormone-receptor positive breast cancer. These agents are associated with menopausal symptoms, adversely affecting drug compliance. Topical estrogen (TE) has been proposed for symptom management, given its' local application and presumed reduced bioavailability, however its oncological safety remains uncertain.

View Article and Find Full Text PDF

Inflammatory responses and lipid metabolism disorders are key components in the development of coronary artery disease and contribute to no-reflow after coronary intervention. This study aimed to investigate the association between the neutrophil to high-density lipoprotein ratio (NHR) and no-reflow phenomenon in ST-segment elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI). This study enrolled 288 patients with STEMI from September 1st, 2022 to February 29th, 2024, in the Zhengzhou Central Hospital Affiliated to Zhengzhou University.

View Article and Find Full Text PDF

This study explores the relationship between 25-hydroxyvitamin D/calcium/alkaline phosphatase (ALP) levels and kidney stone development via cross-sectional and Mendelian randomization (MR) analyses. We used data from the National Health and Nutrition Examination Survey (NHANES) 2013 to 2018 to explore the associations of 25(OH)D metabolite, calcium, and ALP levels with kidney stone development, LDSC analysis to determine the associations between their genetically predicted levels and kidney stone development, and MR analysis to determine the causality of those relationship via genome-wide association studies (GWASs). The cross-sectional study revealed a relationship between ALP levels and kidney stone development (Model 1: OR = 1.

View Article and Find Full Text PDF

The aim of this study was to evaluate the clinical benefits and outcomes of adjuvant radiation therapy on adrenocortical carcinoma (ACC) patients. All patients with ACC that were reported between 2010 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. A forward-stepwise Cox proportional hazards regression was used to identify independent risk factors.

View Article and Find Full Text PDF

T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!