Background: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder seen by both primary care providers (PCPs) and gastroenterologists, and further diagnostic testing is generally discouraged unless red-flag symptoms are present.
Aims: Examine if advanced serologic testing for chronic abdominal pain in IBS patients followed society-specific guidelines and evaluate the diagnostic accuracy of these tests.
Methods: The study involved a retrospective cross-sectional analysis of adults aged 18 and older who were seen at our institution between 2013 and 2018. Tests included: C1 esterase inhibitor, MEFV gene, urine porphobilinogen, anti-dsDNA, and heavy metal screening. Patients with preexisting rheumatological conditions or diagnoses such as hereditary angioedema, porphyria, familial Mediterranean fever, or lead poisoning were excluded. An appropriateness scale based on disease-specific guidelines was used to evaluate test suitability.
Results: Among 26,732 IBS patients, 143 underwent advanced laboratory testing, with 85.3% ordered by gastroenterologists. Only 12.5% of tests adhered to society-specific guidelines, and the positive test rate was 2.1%. The total cost of testing was $46,542, with $39,007 spent on tests deemed inappropriate.
Conclusions: The findings emphasize the effectiveness and importance of adhering to Rome IV criteria, as advanced testing often fails to improve diagnostic accuracy and increases unnecessary healthcare costs.
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http://dx.doi.org/10.1080/00365521.2025.2456491 | DOI Listing |
Comput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Mechanical and Robotics Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Electrochemical impedance spectroscopy has great potential for laboratory blood tests. The overall aim of this study is to develop a microfluidic sensor for determining the physical properties and hematological parameters of blood based on its dielectric spectra. Impedance was measured in flowing blood to prevent aggregation and sedimentation at frequencies between 40 Hz and 110 MHz.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Graz University of Technology, Institute for Chemistry and Technology of Biobased System (IBioSys), Stremayrgasse 9, 8010 Graz, Austria; Institute of Automation, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia; Members of the European Polysaccharide Network of Excellence (EPNOE).
Three-dimensional (3D) and porous scaffolds made from nanocellulosic materials hold significant potential in tissue engineering (TE). Here, we present a protocol for fabricating self-standing (nano)cellulose-based 3D scaffolds designed for in vitro testing of cells from skin and cartilage tissues. We describe steps for preparation of nanocellulose ink, scaffold formation using 3D printing, and freeze-drying.
View Article and Find Full Text PDFClin Oral Investig
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Objectives: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
Materials And Methods: 175 CBCTs containing 242 MS were used as the training, validating and testing datasets at the ratio of 7:1:2. The datasets contained healthy MS and MS with mild (2-4 mm), moderate (4-10 mm) and severe (10- mm) mucosal thickening.
J Chem Ecol
January 2025
Embrapa Recursos Genéticos e Biotecnologia, Laboratório de Semioquímicos, Brasília, DF, 70297-400, Brazil.
The small black stem bug, Paratibraca (= Glyphepomis) spinosa (Campos and Grazia 1998), is a rice pest in Brazil and is part of a complex of stink bugs that includes Oebalus poecilus (Dallas) and Tibraca limbativentris Stål. Together, these pentatomid species pose a serious threat to rice crops throughout South America. In this study, we identified the sex pheromone of P.
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