Diagnostics (Basel)
January 2025
: Primary amebic meningoencephalitis (PAM) caused by is a rare and devastating infection of the central nervous system, often diagnosed late, due to its rapid progression and nonspecific symptoms. We report one of the youngest documented pediatric Vietnamese cases of PAM in a 10-month-old girl from the Mekong Delta, Vietnam. The diagnosis was confirmed through multiplex real-time PCR (MPL-rPCR), microscopy, and sequencing.
View Article and Find Full Text PDFBackground: In our previous study, we demonstrated that headaches are highly prevalent among medical students in Vietnam. In the present study, we provide estimates of the associated symptom burden and impaired participation, utilizing these estimates to assess headache-related healthcare needs within this population.
Methods: The study followed the standardized methodology established by the Global Campaign against Headache.
Dyslipidemia, a significant risk factor for cardiovascular disease (CVD), is marked by abnormal lipid levels, such as the elevated lowering of low-density lipoprotein cholesterol (LDL-C). Statins are the first-line treatment for LDL-C reduction. Pitavastatin (PIT) has shown potential in lowering LDL-C and improving high-density lipoprotein cholesterol (HDL-C).
View Article and Find Full Text PDFCommutability is where the measurement response for a reference material (RM) is the same as for an individual patient sample with the same concentration of analyte measured using two or more measurement systems. Assessment of commutability is essential when the RM is used in a calibration hierarchy or to ensure that clinical measurements are comparable across different measurement procedures and at different times. The commutability of three new Standard Reference Materials (SRMs) for determining serum total 25-hydroxyvitamin D [25(OH)D], defined as the sum of 25-hydroxyvitamin D [25(OH)D] and 25-hydroxyvitamin D [25(OH)D], was assessed through an interlaboratory study.
View Article and Find Full Text PDFThe diagnosis of knee osteoarthritis is challenging due to its complex nature and various contributing factors. With the advancement of artificial intelligence (AI) technology, some computer vision-based methods have been developed to address this task. However, when applied in practice, these methods encounter numerous challenges.
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