Using Artificial Intelligence (AI)-Assisted Pulse Diagnosis Analysis on Precision Critical Medicine.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Ching Wei Yang
- Phone Number: 2611 +88633196200
- Email: ycw0426@gmail.com
Study Locations
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Taoyuan, Taiwan, 33378
- Chang Gung Memorial Hospital, Linkou Branch
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 1.The patient in ICU is willing to participate in the research project or patient's family member is willing patient to participate in the research project.
- 2.Acute circulatory failure
Exclusion Criteria:
- 1. The patient do not want to participate in the research project or patient's family member do not want the patient to participate in the research project.
- 2. Pregnant woman.
- 3. Goals of treatment is palliative care.
- 4. Patient is heritable immunodeficiency or acquired immunodeficiency.
- 5. Known existing cardiac arrhythmia, valvular heart disease, right ventricular dysfunction, intra-cardiac shunt, air leaking from chest drains, abdominal compartment syndrome.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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28-days mortality
Time Frame: 28 days
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The investigators track the enrolled ICU patients for 28 days and record the date and cause of participants' death.
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28 days
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Pulse diagnosis
Time Frame: Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
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Pulse diagnosis in radial artery is recorded by traditional Chinese medicine physician and ANSwatch wrist sphygmomanometer at the same time.
With the help of artificial intelligence, the investigators will find the correlation/comparison of pulse diagnosis by physician or machine and hope to define which pulse waveform characteristics could predict the prognosis/outcome in ICU patients.
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Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hemodynamic status
Time Frame: Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
|
Pulse-induced contour cardiac output (PiCCO) is a cardiac output monitor that combines pulse contour analysis and trans-pulmonary thermos-dilution technique.
PiCCO enables assessment of the patient's hemodynamic status to guide fluid or vasoactive drug therapy, especially if complex mixed forms of shock (e.g.
septic and cardio-genic).
Relatively invasive PiCCO measurement requires the insertion of a central venous pressure (CVP) catheter and a thermo-dilution arterial line.
The non-invasive pulse waveform from radial artery in ANSwatch could be one kind of hemodynamic monitor for peripheral circulation.
By artificial intelligence, the investigators could define some correlation or comparison in the pulse waveform between PiCCO and ANSwatch.
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Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
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Fluid-responsiveness
Time Frame: Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
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Respiratory variations in the pulse oximeter plethysmographic waveform amplitude have been shown to be able predict fluid responsiveness in mechanically ventilated patients.
The investigators use a device [ Masimo corp., Irvine, California, USA] which could automatically and continuously monitor the respiratory variations in the pulse oximeter waveform amplitude (Pleth Variability Index, PVI, unit in %) to predict fluid responsiveness in ICU patients under mechanical ventilation.
This time, the investigators want to find the correlation in the pulse waveform from PVI, PiCCO, or ANSwatch by artificial intelligence analysis.
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Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25
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Heart rate variability
Time Frame: Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25,
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Heart Rate Variability (unit in microseconds) represents significant information on autonomic nervous system (ANS)'s regulating function and balance status.
The change (variation) of heart rate during short term (5 minutes) is analyzed with the method of time domain and frequency domain to provide the degree of balance and activity of autonomic nervous system.
Low Frequency (unit in %) is a band of power spectrum range between 0.04 and 0.15 Hz.
Generally, it is a strong indicator of sympathetic activity.
High Frequency (unit in %) is a band of power spectrum range between 0.15 and 0.4 Hz and it reflects parasympathetic (vagal) activity.
LF/HF Ratio indicates overall balance between sympathetic and parasympathetic systems.
There could be some relationship between these parameters and ICU patients' outcome.
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Day1, Day4, Day8, Day11, Day15, Day18, Day22, Day25,
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NMRPG3K6131
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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