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This is a prospective study that aims to assess the differences in point-of-care ultrasound assessment (POCUS) with portable and ultra-portable devices, using conventional vs artificial intelligence (AI) methodologies, performed by experienced vs inexperienced physicians, in critically ill patients.
Convenient sample size up to 100 patients
Exclusion criteria:
Patients with atrial fibrillation or other dysrhythmias; Inappropriate acoustic window for ultrasound assessment
c. Devices used The study in question aims to perform an ultrasound using two ultrasound scanners belonging to the Intensive Care Department:
In the 4-chamber apical window (A4C), the following variables should be evaluated (by a physician experienced in echocardiography), with the
Butterfly iQ+ device and then with the VenueTM:
discrete quantitative variable, expressed in cm; refers to manual measurement of the LVOT VTI. In the A5C window, the following variables should be evaluated (by a physician experienced in echocardiography and an inexperienced physician), with the VenueTM device:
VenueTM device, the following variables:
Regarding the echocardiographic assessment, experienced physicians should determine the echographic variables in a conventional way (manual) and also through an automatic methodology, first using the Butterfly iQ+ device and later the VenueTM device. Non-experienced physicians will only perform the determination of variables using the automatic methodology (therefore only the variables for which this option is available). The collection of parameters related to the echocardiographic evaluation will be performed in a previously established order in order to avoid bias in subsequent comparisons. Blood pressure, heart rate, respiratory rate and peripheral oxygen saturation should be recorded during the ultrasound assessment. Regarding laboratory variables, the results available in the analysis of the patient on the day of the ultrasound evaluation will be considered (an additional study will not be requested if any of the measurements has not been previously requested by the attending physician). Any need for vasopressor, inotropic or invasive mechanical ventilation should also be recorded. e) Collection and recording of data Demographic and clinical variables will be collected using the patients' clinical records. The variables referring to the ultrasound assessment will be recorded at the time of their acquisition in the CRF.
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| Measure | Description | Time Frame |
|---|---|---|
| Assess artificial intelligence ultrasound software to assess various echocardiographic variables useful for the management of critically ill patients | Assess the accuracy of automatic measurements to determine ultrasound parameters using portable versus ultra-portable ultrasound scanners. - Assess the accuracy of POCUS performed by inexperienced professionals using portable versus ultraportable ultrasounds. | up to 48 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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Patients admitted to the intensive care department which, according to the clinical assessment of the medical team, would benefit from an ultrasound assessment.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital Garcia de Orta | Lisbon | Almada | 2801-267 | Portugal |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36517906 | Derived | Varudo R, Gonzalez FA, Leote J, Martins C, Bacariza J, Fernandes A, Michard F. Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in echocardiography. Crit Care. 2022 Dec 14;26(1):386. doi: 10.1186/s13054-022-04269-6. |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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