Telesonography for Visually Estimating Ejection Fraction
NCT02960685 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 60
Last updated 2016-11-10
Summary
Background: Given that an experienced physician is not always available 24 hours a day, immediately and always available echocardiography is usually impossible in the emergency department (ED) and intensive care unit (ICU). To compensate this limitation, the investigators have investigated that offsite expert guided, inexperienced practitioner-performed ultrasonography could be effectively performed. In this study, the investigators aimed to investigate whether the offsite expert can effectively evaluate the visually estimated ejection fraction (EF) while watching and guiding the echocardiographic procedure of onsite novice examiner using the social network video calling chat.
Methods: sixty patients presenting to the ICU and requiring echocardiography will be included. Sixty novice practitioners without any previous experience of echocardiography will participate. Prior to their procedure, the onsite expert complete the echocardiography in advance and determine the EF using the modified Simpson's method (MSM, Reference value). Then, the novice physicians perform the echocardiography again with the offsite expert's guidance via video call. They obtain parasternal long and short axis view and EF is visually estimated to the nearest 5% (ex. 40%, 45% and etc) by the offsite expert while watching the ultrasound video on the smartphone display. The subjects requiring immediate management due to severe symptoms were excluded in this study. Interobserver variability between the calculated by onsite expert and visually estimated by offsite expert was assessed. The agreement of the visual estimated EF obtained by onsite expert and offsite expert via smartphone was evaluated by linear regression and Bland-Altman plots.
Conditions
- Heart Failure, Systolic
Interventions
- PROCEDURE
-
Echocardiography
Sponsors & Collaborators
-
Hanyang University
lead OTHER
Principal Investigators
-
Jeong-hun Shin, PhD · Hanyang University
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-11-30
- Primary Completion
- 2016-11-30
Countries
- South Korea
Study Locations
More Related Trials
-
Left Ventricular Volume and Ejection Fraction: Validation of Real Time 3 Dimensional Transesophageal Echocardiography
NCT01734174 ·Status: WITHDRAWN
-
Effectiveness of Simulation-based Training on Transoesophageal Echocardiography Learning
NCT05564507 ·Status: COMPLETED ·Phase: NA
-
Safety and Efficacy Study of AI LVEF
NCT05140642 ·Status: COMPLETED ·Phase: NA
-
AI-ECG Screening for Left Ventricular Systolic Dysfunction
NCT06231797 ·Status: NOT_YET_RECRUITING
-
Assessment of Left Ventricular Diastolic Function in Patients With Atrial Fibrillation
NCT04654806 ·Status: UNKNOWN
-
Ultrasound and Left Ventricular Systolic Function
NCT02381756 ·Status: TERMINATED
-
Learning Curve CUSUM of LV Ejection Fraction by Visual Estimation in Novice Practitioners
NCT02866318 ·Status: UNKNOWN
-
Inter-observer Reproductibility of Visual Estimation of Left Ventricular Ejection Fraction in Critical Care
NCT04978389 ·Status: COMPLETED
-
Concordance AUTOFEVG
NCT04641169 ·Status: COMPLETED ·Phase: NA
-
Intraoperative Transesophageal Echocardiography Assessment of Portal Vein Flow and Renal Resistive Index As a Predictor of Acute Kidney Injury After Cardiac Surgery: A Prospective Observational Study
NCT04112953 ·Status: COMPLETED
-
Efficacy of AI EF Screening by Using Smartphone Application Recorded PLAX View Cardiac Ultrasound Video Clips
NCT06330103 ·Status: COMPLETED ·Phase: NA
-
Radiofrequency-based Speckle Tracking Echocardiography to Evaluate Diastolic Function
NCT01182805 ·Status: COMPLETED ·Phase: PHASE1/PHASE2
-
3D & Speckle Tracking Together as a Marker for Early Outcome in Cardiac Surgery
NCT02642770 ·Status: COMPLETED
-
AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Assessment Using COR ECG Wearable Monitor
NCT06699056 ·Status: RECRUITING
-
Diagnostic Performance of Echocardiography Performed by Emergency Physicians After a Basic Training
NCT02974790 ·Status: TERMINATED
-
AI-based Echocardiographic Quantification in Heart Failure
NCT07010952 ·Status: NOT_YET_RECRUITING
-
Use of McGrath Videolaryngoscope to Assist Transesophageal Echocardiography Probe Insertion in Intubated Patients
NCT02634047 ·Status: COMPLETED ·Phase: NA
-
Impact of Anesthesia, Positive Pressure Ventilation and Modality of Imaging on the Echocardiographic Assessment of the Severity of Aortic Regurgitation
NCT06835946 ·Status: RECRUITING
-
Fetal Heart Ultrasound Suspicious Radiographic Finding Identification - Reader Study
NCT06392555 ·Status: COMPLETED
-
Evaluation of Blood Flow Patterns in Lung Blood Vessels Using Ultrasound Technique in Patients With Congestive Heart Failure
NCT01744210 ·Status: WITHDRAWN
-
Artificial Intelligence-assisted Diagnosis and Prognostication in Low Ejection Fraction Using Electrocardiograms
NCT05117970 ·Status: COMPLETED ·Phase: NA
-
Comparitive Effectiveness of PME Versus Transthoracic Echocardiogram (TTE)
NCT02141269 ·Status: COMPLETED
-
Feasibility of AI-based Heart Function Prediction Model Using CXR
NCT04996381 ·Status: COMPLETED
-
Trans-thoracic Ultrasound VS Invasive Pressure of the Left Atrium
NCT03012308 ·Status: UNKNOWN
-
Left Ventricular Myocardial Work for Predicting Response to CRT
NCT07319065 ·Status: NOT_YET_RECRUITING