Background: Suspected false positive norovirus results occurred after introduction of the BioFire® FilmArray® Gastrointestinal panel (BF-GIP) into 6 laboratory sites, in British Columbia, Canada.
Objectives: The primary objective was to investigate suspected false positive results by performing additional molecular assays and whole genome sequencing (WGS). The second objective was to determine if melting curve review could predict false positive results.
Study Design: From February 2023 to May 2024, the proportion of potential false positive norovirus results from the BF-GIP was calculated based on confirmatory testing using alternate molecular method. A subset of 65 norovirus BF-GIP positive specimens, including 35 negatives and 30 positives on additional molecular assays, underwent WGS. Melting curves appearances from 150 specimens were reviewed.
Results: Overall, 215/784 (27.4 %) BF-GIP norovirus results were suspected to be false positives. When using WGS, 64/65 results were in agreement with confirmatory testing. Notably, 35 specimens negative on confirmatory testing and suspected to be BF-GIP norovirus false positive results were undetectable by WGS. Melting curves did not accurately predict false positives, since 20/72 (27.8 %) had typical appearances upon review.
Conclusions: BF-GIP produces false positive results for norovirus, which cannot be predicted by melting curve review.
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http://dx.doi.org/10.1016/j.jcv.2024.105732 | DOI Listing |
JAMA Psychiatry
January 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Importance: Mania/hypomania is the pathognomonic feature of bipolar disorder (BD). As BD is often misdiagnosed as major depressive disorder (MDD), replicable neural markers of mania/hypomania risk are needed for earlier BD diagnosis and pathophysiological treatment development.
Objective: To replicate the previously reported positive association between left ventrolateral prefrontal cortex (vlPFC) activity during reward expectancy (RE) and mania/hypomania risk, to explore the effect of MDD history on this association, and to compare RE-related left vlPFC activity in individuals with and at risk of BD.
Invest Ophthalmol Vis Sci
January 2025
Southern California College of Optometry at Marshall B Ketchum University, Fullerton, California, United States.
Purpose: When treating amblyopia, it is important to define when visual acuity (VA) is no longer improving (i.e., stable) because treatment decisions may be altered based on this determination.
View Article and Find Full Text PDFAnal Chem
January 2025
SB BIOSCIENCE Inc., Room 120, Venture Building, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
The need for accurate and simultaneous diagnosis of multiple respiratory infectious diseases has become increasingly critical due to ongoing viral mutations and the similarity of symptoms among various viruses. Here, we have advanced our detection capabilities by developing a multiplex lateral flow immunoassay (LFA) platform that integrates oligonucleotides and antibodies, enabling the simultaneous detection of five respiratory viruses: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Influenza A (FluA), Influenza B (FluB), Respiratory syncytial virus (RSV), and Adenovirus (ADV), on a single membrane. By applying the oligonucleotide and antibody-conjugated AuNPs, the platform enables highly sensitive and specific detection.
View Article and Find Full Text PDFFront Artif Intell
December 2024
School of Medicine, University of Brasilia, Brasilia, Brazil.
In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic status the following year. Systems capable of predicting individuals at higher risk of progressing to severe forms of the disease could optimize the allocation and direction of resources. In this work, we evaluated the performance of different Machine Learning algorithms when predicting clinical outcomes of patients hospitalized with COVID-19, using clinical data from hospital admission alone.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan.
Background: Although schizophrenia and autism spectrum disorder (ASD) are currently conceptualized as distinct disorders, the similarity in their symptoms often makes differential diagnosis difficult. This study aimed to identify similarities and differences in the symptoms of schizophrenia and ASD to establish a more useful and objective differential diagnostic method and to identify ASD traits in participants with schizophrenia.
Methods: A total of 40 participants with schizophrenia (13 females, mean age: 34 ± 11 years) and 50 participants with ASD (15 females, mean age: 34 ± 8 years) were evaluated using the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) and other clinical measures.
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