98%
921
2 minutes
20
Cardiac output is essential to calculate pulmonary vascular resistance (PVR) and classify pulmonary hypertension (PH). Recent evidence has shown a lower agreement between thermodilution (COTD) and direct Fick (CODF) methods than historically estimated. The influence of the cardiac output measurement method on the classification of PH is poorly explored. We aimed to estimate the risk of diagnostic error when using COTD instead of CODF. We used a previously published mathematical model to consecutive patients diagnosed with PH at three centers in Switzerland. This model allows an individual estimation of the risk of diagnostic error when using COTD instead of CODF and is based on limits of agreement (LoA) between COTD and CODF of 2 L/min (average estimation) and 2.7 L/min (worst case scenario estimation). One thousand one hundred and forty-two patients with PH were evaluated. The mean risk of diagnostic error using the model with LoA of 2 L/min was 6.0% in the overall population ( = 1142). The mean risk of diagnostic error was 2.9% among the 712 patients with precapillary PH, 15.0% among the 113 patients with isolated postcapillary PH (IpcPH), 7.2% among the 247 patients with combined post- and pre-capillary PH, and 18.8% among the 70 patients with unclassified PH. The estimated diagnostic error when using COTD instead of CODF was generally low, particularly for patients with precapillary PH. Patients with PVR close to the diagnostic threshold of 2 WU (i.e., between 1 and 3 WU), mostly concerning patients with IpcPH and unclassified PH, exhibited a higher risk of diagnostic error.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177550 | PMC |
http://dx.doi.org/10.1002/pul2.70112 | DOI Listing |
Anal Chim Acta
November 2025
College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China. Electronic address:
Background: The development of specific fluorescent probes for cancer cell discrimination holds significant promise for advancing cancer diagnostics. Conventionally, these probes operate by translating differences in biomarkers or microenvironmental factors into variations in whole-cell fluorescence intensity. However, this dominant, intensity-based strategy is highly susceptible to extraneous fluctuations arising from probe concentration, illumination instability and complex intracellular environment.
View Article and Find Full Text PDFAm J Med Sci
September 2025
The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel; Department of Internal Medicine, Lady Davis Carmel Medical Center, Haifa, Israel.
Objective: Multifocal atrial tachycardia (MAT), characterized by an irregularly irregular rhythm, is often regarded as a clinical imitator of atrial fibrillation (AF). We aimed to evaluate the prevalence of MAT misclassification as AF in the emergency department (ED) setting.
Methods: A retrospective analysis of 1,828 ECGs from patients discharged with AF diagnoses over five years.
Int Dent J
September 2025
Department of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité-University Medicine Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Department of Conservati
Introduction And Aims: Artificial intelligence (AI) is transforming dental care by enhancing diagnostic accuracy, efficiency, and patient experience. This study aimed to assess dental patients' acceptance, perceptions, and concerns regarding AI-powered diagnosis using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework through structural equation modelling (SEM).
Methods: A cross-sectional study was conducted among dental patients at King Saud University Dental Hospital, Riyadh.
Eur Spine J
September 2025
Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Purpose: This study aims to address the limitations of radiographic imaging and single-task learning models in adolescent idiopathic scoliosis assessment by developing a noninvasive, radiation-free diagnostic framework.
Methods: A multi-task deep learning model was trained using structured back surface data acquired via fringe projection three-dimensional imaging. The model was designed to simultaneously predict the Cobb angle, curve type (thoracic, lumbar, mixed, none), and curve direction (left, right, none) by learning shared morphological features.
BMJ Open
September 2025
University of Birmingham, Birmingham, UK.
Objective: To explore experience and prevalence of vulval lichen sclerosus (VLS) diagnosis in general practice using an anonymous patient survey.
Design: Quantitative descriptive cross-sectional survey informed by previous qualitative interviews and developed with patient representatives, sent to people recorded in general practice as having a VLS diagnosis.
Setting: General practices (n=24) in the UK (West Midlands).