Objectives: To measure the accuracy of currently used intracompartmental pressure (ICP) diagnostic variables for forearm chronic exertional compartment syndrome (CECS) and a new ICP diagnostic variable, TRest, the recovery time between the maximum ICP and return to resting pressure.
Design: Retrospective cohort. Level evidence IV.
Setting: University-affiliated tertiary hospital.
Participants: Patients with suspected forearm CECS, 1990 to 2014.
Interventions: All patients underwent physical examination and exertional stress test, preceded and followed by measuring ICP in all suspicious CECS. Surgery was proposed when indicated. Minimum follow-up was 18 months. Final diagnosis was established at the final follow-up.
Main Outcome Measures: Intracompartmental pressure measurements: PRest (baseline/pre-exercise pressure), P1 min (pressure 1 minute after exercise), P5 min (pressure 5 minutes after exercise), and TRest. Patients rated their pain and completed Quick-DASH in all follow-ups. Patients ultimately were classified into 4 groups (true positives, true negatives, false positives, and false negatives) for each ICP measurement relative to the final diagnosis. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.
Results: A total of 124 male athletes were diagnosed with CECS, 27 bilateral. Accuracy with standard ICP diagnostic variables was lower (sensitivity 73.5%, specificity 84.2%, positive predictive value 97%, and negative predictive value 31.4%) than with TRest (SN 100%, SP 94.7%, PPV 99.3%, and NPV 100%); 23% of patients would have been missed following the standard ICP diagnostic criteria.
Conclusions: Diagnostic thresholds for current standard ICP measurements should be lowered. TRest, a new measure, might be more accurate.
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http://dx.doi.org/10.1097/JSM.0000000000000482 | DOI Listing |
Curr Environ Health Rep
January 2025
School of Health Sciences, Purdue University, West-Lafayette, IN, 47906, USA.
Purpose Of Review: This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Obstetrics, Beilun District People's Hospital, Ningbo, Zhejiang, China.
Intrahepatic cholestasis of pregnancy (ICP) is associated with adverse perinatal outcomes, yet the correlation between ICP and the neutrophil-to-lymphocyte ratio (NLR) remains unclear. This study aims to investigate the diagnostic value of NLR in ICP. In this retrospective case-control study, 113 patients with ICP treated in Beilun District People's Hospital from January 2020 to December 2022 were recruited and categorized as the ICP group, and 209 healthy pregnant women treated during the same period were selected as the control group.
View Article and Find Full Text PDFNutrients
January 2025
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Objective: This study aims to identify whether the development of insulin resistance (IR) induced by high selenium (Se) is related to serine deficiency via the inhibition of the de novo serine synthesis pathway (SSP) by the administrations of 3-phosphoglycerate dehydrogenase (PHGDH) inhibitor (NCT503) or exogenous serine in mice.
Method: forty-eight male C57BL/6J mice were randomly divided into four groups: adequate-Se (0.1 mgSe/kg), high-Se (0.
Sensors (Basel)
January 2025
Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Goal: Current methodologies for assessing cerebral compliance using pressure sensor technologies are prone to errors and issues with inter- and intra-observer consistency. RAP, a metric for measuring intracranial compensatory reserve (and therefore compliance), holds promise. It is derived using the moving correlation between intracranial pressure (ICP) and the pulse amplitude of ICP (AMP).
View Article and Find Full Text PDFBeijing Da Xue Xue Bao Yi Xue Ban
February 2025
Center for Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China.
Objective: To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data, by utilizing a dynamic graph-based registration network model (maxillofacial dynamic graph registration network, MDGR-Net), and to provide a valuable reference for digital design and analysis in clinical dental applications.
Methods: Four hundred clinical patients without significant deformities were recruited from Peking University School of Stomatology from October 2018 to October 2022. Through data augmentation, a total of 2 000 three-dimensional maxillofacial datasets were generated for training and testing the MDGR-Net algorithm.
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