Management of changes in physiologic and mental status due to alcohol is a core skill utilized in the psychiatric emergency service. Blood alcohol concentrations are commonly approximated by measuring breath alcohol at triage. However, the blood-breath ratio is highly variable, and breath tests have produced lower readings than blood tests. The authors assessed the accuracy of breath alcohol readings at triage in a medical emergency department compared with subsequent serum alcohol levels taken in the psychiatric emergency service. The mean breath ethanol concentration was significantly lower than the mean corrected serum ethanol concentration (.15+/-.05 grams per 210 liters and .23+/-.05 grams per 100 milliliters, respectively). The relative accuracy of breath alcohol tests decreased with increasing serum alcohol. Although its low false-positive rate makes the breath test acceptable for legal purposes, the blood alcohol level is more appropriate for clinical use in emergency settings, because breath tests can underestimate the degree of toxicity.
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http://dx.doi.org/10.1176/appi.ps.57.1.34 | DOI Listing |
Sensors (Basel)
December 2024
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Centre for Sleep Medicine Kempenhaeghe, 5590 AB Heeze, The Netherlands.
Continuous respiration monitoring is an important tool in assessing the patient's health and diagnosing pulmonary, cardiovascular, and sleep-related breathing disorders. Various techniques and devices, both contact and contactless, can be used to monitor respiration. Each of these techniques can provide different types of information with varying accuracy.
View Article and Find Full Text PDFJ Clin Med
December 2024
University Hospital of Grenoble Alpes, INSERM U1300, 38043 Grenoble, France.
Cardiac implantable electronic devices and their integrated thoracic impedance sensors have been used to detect sleep apnea for over a decade now. Despite their usage in daily clinical practice, there are only limited data on their diagnostic accuracy. AIRLESS and UPGRADE were prospective investigator-driven trials meant to validate the AP scan (Boston Scientific, Marlborough, MA, USA) in heart failure cohorts.
View Article and Find Full Text PDFBiomedicines
December 2024
World-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya Street, 119991 Moscow, Russia.
Ischemic heart disease (IHD) impacts the quality of life and is the most frequently reported cause of morbidity and mortality globally. To assess the changes in the exhaled volatile organic compounds (VOCs) in patients with vs. without ischemic heart disease (IHD) confirmed by stress computed tomography myocardial perfusion (CTP) imaging.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Computer Science Department, Taif University, Taif 21944, Saudi Arabia.
: In the United States, chronic obstructive pulmonary disease (COPD) is a significant cause of mortality. As far as we know, it is a chronic, inflammatory lung condition that cuts off airflow to the lungs. Many symptoms have been reported for such a disease: breathing problems, coughing, wheezing, and mucus production.
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