AI Article Synopsis
Article Abstract
Background: Many scores derived from Early Warning Scores have been developed to detect patients at risk of poor outcome. Few of these scores incorporate the oxygen flow rate while this is a major marker in patients with respiratory complaint. We developed and evaluated a new automatable monitoring tool (Early Warning Score O: EWS.O) that incorporates cardio-respiratory parameters (Respiratory rate, Heart rate, SpO, and FiO derived from oxygen flow rate), aiming to achieve early detection of poor outcome among patients with dyspnea.
Methods: All patients presenting at an emergency department for dyspnea from June 2011 to June 2018 with available initial value (nurse triage) of respiratory parameters were included. Our primary endpoint was a composite criterion including the use of non-invasive ventilation, ICU admission and death. The Area under the Receiver Operating Characteristic curve (AUROC) of the SpO/FiO index, NEWS, NEWS2, and the EWS.O were compared, including in subgroup analysis by final diagnosis or oxygen supplementation.
Results: Among the 1729 patients retrieved, the composite outcome was observed in 288 (16.7%). The EWS.O displayed better or comparable predictive accuracy at triage (AUROC: 0.704, 95% CI 0.672-0.736) compared to NEWS (0.662, p < 0.01), NEWS2 (0.672, p = 0.02) and SpO/FiO (0.695, p = 0.46).
Conclusions: This new ScoreO is equivalent or superior to common early warning scores and index to predict poor outcome at first medical contact. This score may be automatically and continuously recorded with new closed-loop devices to titrate oxygen flow. Further prospective studies will allow to verify its accuracy at multiple time points of the patient's journey.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.resuscitation.2020.01.004 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Geochemical evolution, geostatistical mapping and machine learning predictive modeling of groundwater fluoride: a case study of western Balochistan, Quetta.
Environ Geochem Health
December 2024
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China.
Around 2.6 billion people are at risk of tooth carries and fluorosis worldwide. Quetta is the worst affected district in Balochistan plateau.
View Article and Find Full Text PDFEvaluating the impact of dose monitoring software alerts on radiation dose reduction in computed tomography: A systematic review.
Eur J Radiol
December 2024
Medical Image Optimisation and Perceptions Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia. Electronic address:
Introduction: Radiation Dose Monitoring Software (DMS) tools have been developed to monitor doses and alert computed tomography (CT) users of high radiation exposure. However, the causal factors for alerts and the impact of DMS in dose optimisation are poorly understood.
Aim: This review aims to identify high-dose CT examinations triggering alerts and their determinants, and to assess if the alerts from DMS help to reduce CT dose levels.
Prediction of Tidal Volume in Newborns Through a Novel Three-Dimensional Model: A Viability Study.
Pediatr Pulmonol
December 2024
Department of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Introduction: Although noninvasive monitoring through quantifying rib cage movement has been useful in serial assessment of pulmonary function in newborns, measuring tidal volume (TV) is commonly performed invasively. As it is the most basic measure of pulmonary function, expanding its assessment to a noninvasive measure can contribute to clinical findings and interpretations in neonatal clinical practice.
Objective: (1) Create a noninvasive measurement tool for TV for neonatal clinical use; (2) Evaluate the agreement between measured TV and predicted TV.
Retinal structure and its relationship with premorbid, clinical, and cognitive variables in young Spanish patients with early course schizophrenia spectrum disorders.
Eur Neuropsychopharmacol
December 2024
Barcelona Clinic Schizophrenia Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain; Institut d'Investigacions Mèdiques August Pi i Sunyer (IDIBAPS), Fundació Clínic, Barcelona, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain. Electronic address:
Emerging evidence suggests that retinal structural alterations are present in schizophrenia spectrum disorders (SSD), potentially reflecting broader neurodevelopmental and neurodegenerative processes. This cross-sectional study investigates retinal thickness and its clinical correlations in a sample of early-course SSD patients compared to healthy controls (HCs). One hundred-two eyes from 26 SSD cases and 25 age- and sex-matched HCs were included.
View Article and Find Full Text PDFEarly detection of high blood pressure from natural speech sounds with graph diffusion network.
Comput Biol Med
December 2024
Thoracic Surgery Clinic, Medical School, Ankara University, Ankara, Turkey.
This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic data to accurately estimate blood pressure. We found a strong correlation between our predictive model and early-stage high blood pressure, highlighting its potential for early detection.
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!