This study compared the ability of two on-site testing devices, Instant-View Test Card and OnTrak TesTcup Pro 5, to discriminate negative from positive urine samples for cannabinoids, cocaine metabolite, opiates, amphetamines, and benzodiazepines. The on-site devices were evaluated in a precision study with fortified urine samples and in a clinical study with samples submitted for forensic urine drug testing. For precision, seven stocks were prepared per device. Each stock had all five analytes added in a random fashion at 0, 25, 50, 75, 125, 150, or 175% of cutoff. Ten aliquots per stock were assigned random numbers and analyzed by two individuals. The respective accuracies (defined as "% below cutoff samples that were negative + % above cutoff samples that were positive") for Instant-View Test Card and TesTcup were 74.3 and 87.1 for amphetamines; 82.1 and 90.7 for benzoylecgonine; 88.6 and 90.7 for benzodiazepines; 83.6 and 94.3 for morphine; 82.1 and 87.9 for cannabinoids; and 82.1 and 90.1% overall. In contrast to the on-site testing devices, instrumental testing with OnLine reagents had perfect precision. For the clinical study, submitted samples that had reached their disposal date were rescreened for the five drug groups. Fifty that had absorbance changes near the negative control for all five drug groups were selected as "negatives"; 240 samples with positive or multi-positive results (some between the 75% control and cutoff) and confirmed by GC-MS were chosen as "positives" (at least 45 per drug group). The non-positive drug groups in these samples added 150 additional presumptively negatives per drug group. Samples were assigned random numbers, and two individuals tested each sample. The respective accuracies in respect to GC-MS results for Instant-View Test Card and TesTcup were 95.8 and 91.7 for amphetamines; 100 and 100 for benzoylecgonine; 96.7 and 96.5 for benzodiazepines; 98.8 and 99.2 for opiates; 94.4 and 95.0 for cannabinoids; and 97.1 and 96.5% overall. The clinical study revealed that the Instant-View Test Card had low cross-reactivity (i.e., false negatives) for samples with amphetamine only and oxycodone. TesTcup had low cross-reactivity for samples with amphetamine only and hydrocodone and/or hydromorphone; it also had more cross-reactivity towards (i.e., false positives) sympathomimetic amines. In summary, the Instant-View Test Card was less precise than the TesTcup at or near the cutoff; with clinical samples, however, the percent accuracies of the two devices were similar.
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http://dx.doi.org/10.1093/jat/30.1.50 | DOI Listing |
Semin Ophthalmol
January 2025
Joint Shantou International Eye Center, Shantou University, The Chinese University of Hong Kong, Shantou, China.
Purpose: To evaluate changes in intraocular pressure (IOP) in dominant and contralateral eyes following the dark room prone provocative test (DRPPT) in the study subjects with shallow anterior chamber.
Methods: This was a prospective, single-center, non-randomized controlled trial of 43 subjects (86 eyes) with shallow anterior chamber. The dominant eye was identified using the card-hole method.
BMJ Open
January 2025
Department of Economics, University of Indonesia Faculty of Economics and Business, Depok, Jawa Barat, Indonesia.
Objectives: To investigate the relationship between purchasing loose cigarettes and adolescent smoking habits in Indonesia.
Design And Setting: This study employed a mixed-methods sequential explanatory design. We analysed the secondary data from a national survey, the 2019 Global Youth Tobacco Survey, using multivariable logistic regression models to examine the association between loose cigarette purchase and smoking frequency and intensity and nicotine dependence.
Genet Test Mol Biomarkers
January 2025
PTC Therapeutics Germany GmbH, Frankfurt, Germany.
The main objective of this prospective, multicenter study (REVEAL-CP) was to test children with cerebral palsy-like signs and symptoms for raised 3--methyldopa (3-OMD) blood levels, a biomarker for aromatic L-amino acid decarboxylase deficiency (AADCd). A secondary objective was to characterize the molecular basis for the defective aromatic L-amino acid decarboxylase (AADC) gene product. Patients were identified in pediatric secondary and tertiary care hospitals through database searches and personal communication.
View Article and Find Full Text PDFFront Behav Neurosci
January 2025
College of Foreign Languages and Literature, Northwest Normal University, Lanzhou, China.
Reasoning is a fundamental cognitive process that allows individuals to make inferences, decisions, and solve problems. Understanding the neural mechanisms of reasoning and the gender differences in these mechanisms is crucial for comprehending the neural foundations of reasoning and promoting gender equality in cognitive processing. This study conducted an Activation Likelihood Estimation (ALE) meta-analysis of 275 studies, revealing that reasoning involves multiple brain regions, including the parts of frontal, parietal, occipital, temporal lobes, limbic system, and subcortical areas.
View Article and Find Full Text PDFHu Li Za Zhi
February 2025
School of Nursing, National Taipei University of Nursing and Health Sciences, Taiwan, ROC.
Background: The process of aging is associated with the deterioration of normal body functions as well as lower health awareness due to a reduced ability to acquire and understand health-related information. The subjects of this study were older adults with diabetes mellitus living in community settings. Visual-learning-based Steno diabetes dialogue cards were used to strengthen the learning and knowledge absorption capabilities of the subjects to improve diabetes health knowledge and increase compliance with blood sugar control protocols to achieve blood sugar control goals and delay / reduce the severity of complications.
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