AI Article Synopsis
- Remote dielectric sensing (ReDS) is a non-invasive technology used to measure pulmonary congestion, but its accuracy across different body types is not fully verified.
- A study involving 436 hospitalized cardiovascular patients classified them by body mass index (BMI) and compared their ReDS values.
- The results showed that underweight patients had significantly lower indexed ReDS values compared to normal, pre-obese, and obese patients, suggesting that ReDS readings may be underestimated in underweight individuals.
Article Abstract
Remote dielectric sensing (ReDS) is a non-invasive, electromagnetic energy-based technology to quantify pulmonary congestion. However, the accuracy of ReDS values in patients with a variety of physiques has not been fully validated.Prospective successive measurements of ReDS values and body mass index (BMI) were performed on admission in consecutive hospitalized patients with cardiovascular diseases. Patients were stratified into 4 groups according to the WHO classification: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 24.9), pre-obese (25.0 ≤ BMI < 29.9), and obese (30.0 ≤ BMI). The indexed ReDS value was defined as a ReDS value divided by the modified congestion score index (the severity of pulmonary congestion on chest X-ray). The indexed ReDS values were compared among the 4 stratified groups.A total of 436 patients (76 [69, 82] years old and 254 men) were included. The median indexed ReDS values were 21.3 (19.1, 23.8), 25.7 (21.0, 29.5), 25.7 (20.3, 31.0), and 28.0 (21.1, 34.0) in underweight, normal weight, pre-obese, and obese patients, respectively, highlighting the underweight group had the lowest values (P < 0.001).ReDS values may be underestimated and specific caution should be paid in its interpretation in underweight patients.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1536/ihj.23-191 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Screening for Relative Energy Deficiency in Sport: Detection of Clinical Indicators in Female Endurance Athletes.
Med Sci Sports Exerc
January 2025
Technical University of Munich, Germany; TUM School of Medicine and Health, Department of Health and Sport Sciences, Munich, GERMANY.
Purpose: The purpose was to evaluate the individual and combined use of the Low Energy Availability in Females Questionnaire (LEAF-Q) and the Brief Eating Disorder in Athletes Questionnaire (BEDA-Q) to detect clinical indicators associated with Relative Energy Deficiency in Sport (REDs).
Methods: In this cross-sectional study, 50 female endurance athletes training ≥4x/week completed the LEAF-Q and BEDA-Q and were assessed for presence of selected REDs indicators. Athletes meeting the criteria for mild or more severe REDs severity/risk according to the International Olympic Committee REDs Clinical Assessment Tool Version 2 (IOC REDs CAT2) were classified as REDs cases.
From semi-starvation to the stage: a case report on indicators of low energy availability in a drug-free bodybuilder during contest preparation and peak week.
Front Nutr
November 2024
Department of Education, Institute of Performance Nutrition, London, United Kingdom.
Natural bodybuilding competitions involve periods of low energy availability (EA) combined with resistance training and high-protein diets to achieve extreme leanness. This study tracked a drug-free bodybuilder adopting evidence-based nutrition practices during 18 weeks of contest preparation. We measured endocrine function, resting energy expenditure, respiratory exchange ratio, body composition, resting heart rate, oral temperature, mood, and strength performance.
View Article and Find Full Text PDFAssessment of Pulmonary Congestion According to Ultrasound and Remote Dielectric Sensing (ReDS) in Patients Hospitalized With Heart Failure.
Arq Bras Cardiol
October 2024
RUDN University, Moskva, Moskovskaa Oblast - Rússia.
Background: The reduction of pulmonary congestion is an essential clinical target in the management of chronic heart failure. The remote dielectric sensing (ReDS) system is a recently introduced non-invasive technology used to easily estimate the degree of lung fluid volume without any expert techniques.
Objective: To conduct a comparative assessment of pulmonary congestion according to ultrasound and ReDS technology in patients hospitalized with decompensation of chronic heart failure (CHF).
Impact of Remote Dielectric Sensing on Predicting Worsening Heart Failure During Hospitalization for Heart Failure.
J Clin Med
October 2024
The Second Department of Internal Medicine, University of Toyama, Sugitani 2630, Toyama 930-0194, Japan.
A remote dielectric sensing (ReDS) system quickly quantifies pulmonary congestion. Nonetheless, its efficacy in predicting an in-hospital increase in plasma B-type natriuretic peptide levels, the potential surrogate of worsening heart failure, remains undetermined. Patients who underwent ReDS measurement on admission during their hospitalization in the general wards for heart failure between 2021 and 2022 were eligible.
View Article and Find Full Text PDFCharacterization of the thyroid hormones level in urine by liquid chromatography coupled to mass spectrometry focus in the antidoping field.
Drug Test Anal
August 2024
Laboratorio Antidoping FMSI, Federazione Medico Sportiva Italiana, Rome, Italy.
Article Synopsis
- - The paper investigates how thyroid hormones (TH) are metabolized in urine using a technique called liquid chromatography-tandem mass spectrometry (LC-MS/MS), focusing on samples from a euthyroid volunteer and athletes with varying thyroid supplement declarations.
- - Results showed that specific ratios of thyroid hormones in urine might indicate the use of synthetic T3 or T4, but these indicators are less reliable in hypothyroid athletes who maintained lower hormone levels despite supplementation.
- - The research concludes that while urine testing for thyroid hormone administration can be effective in euthyroid individuals, it may not work well for hypothyroid athletes due to their body's tendency to stabilize hormone levels, complicating detection.
Want 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!