Background: Fluid overload leading to pulmonary congestion is an important issue in patients undergoing hemodialysis. This study aimed to determine if a simplified method of extravascular lung water assessment using ultrasound provided clinically relevant information.
Methods: This prospective study recruited 47 patients from a single hemodialysis center. Pulmonary ultrasound was performed before and after 2 hemodialysis sessions in 28 regions on the thorax. The B-line score was defined as the percentage regions where B-lines were present.
Results: When B-lines were detected before hemodialysis, a significant relationship was found between fluid removal and the change in B-line score. Patients with a B-line score of ≥21.4% (4th quartile) after the second hemodialysis session were more likely to be hospitalized for pulmonary edema or acute coronary syndrome.
Conclusions: A simplified pulmonary assessment using ultrasound provides relevant information about pulmonary congestion in hemodialysis patients and identifies patients at risk of hospitalization for heart-related problems.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1159/000481768 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Sex differences in exercise-induced arterial hypoxemia and pulmonary edema following high-intensity exercise in highly trained endurance athletes.
Physiol Rep
January 2025
Centre for Heart Lung Innovation, The University of British Columbia (UBC) and St. Paul's Hospital (SPH), Vancouver, British Columbia, Canada.
This study investigated sex differences in the development of pulmonary edema and exercise-induced arterial hypoxemia (EIAH) in well-trained endurance athletes during near-maximal exercise in a real-world setting. Twenty participants (10M vs. 10F; V̇Opeak: 69.
View Article and Find Full Text PDFTargeted thoracic ultrasonography shows high diagnostic potential for interstitial pneumonia in feedyard cattle.
Am J Vet Res
December 2024
Innovative Livestock Services, Great Bend, KS.
Objective: To use a novel approach of targeted thoracic point-of-care ultrasound (TT-POCUS) of the caudodorsal right lung to determine potential associations between TT-POCUS measurements and the presence of interstitial pneumonia (IP) in feedyard cattle.
Methods: Cross-sectional study evaluated feedyard animals (n = 62; 358.4 ± 10.
Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines.
Diagnostics (Basel)
November 2024
Department of Diagnostic Imaging, National University of Singapore, Singapore 119228, Singapore.
A-lines and B-lines are key ultrasound markers that differentiate normal from abnormal lung conditions. A-lines are horizontal lines usually seen in normal aerated lungs, while B-lines are linear vertical artifacts associated with lung abnormalities such as pulmonary edema, infection, and COVID-19, where a higher number of B-lines indicates more severe pathology. This paper aimed to evaluate the effectiveness of a newly released lung ultrasound AI tool (ExoLungAI) in the detection of A-lines and quantification/detection of B-lines to help clinicians in assessing pulmonary conditions.
View Article and Find Full Text PDFBackground: Lung ultrasound (LUS) has emerged as a useful tool in the acute phase of patients admitted for ST-segment-elevation myocardial infarction. However, its long-term significance remains uncertain, and risk scores do not include LUS findings as a predictor. This study aims to assess the 1-year prognostic value of LUS and its ability to enhance existing risk scores.
View Article and Find Full Text PDFDeep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure.
Ultrasound J
September 2024
Department of Emergency Medicine, Yale University School of Medicine, 464 Congress Avenue, Suite 260, New Haven, Connecticut, 06519, USA.
Background: Ultrasound can detect fluid in the alveolar and interstitial spaces of the lung using the presence of artifacts known as B-lines. The aim of this study was to determine whether a deep learning algorithm generated B-line severity score correlated with pulmonary congestion and disease severity based on clinical assessment (as identified by composite congestion score and Rothman index) and to evaluate changes in the score with treatment. Patients suspected of congestive heart failure underwent daily ultrasonography.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!