The investigators aimed to combine the image of near-infrared vision and machine learning method to evaluate the microcirculatory status of critical ill patients.
Full Title of Study: “Machine Learning-Based Near-infrared Vision to Evaluate the Microcirculatory of Critical Ill Patients: A Prospective Observational Study”
- Study Type: Observational
- Study Design
- Time Perspective: Prospective
- Study Primary Completion Date: December 31, 2023
The heat distribution of body is determined by the circulatory status. The investigators plan to the near-infrared vision to collect heat distribution information of limbs. Then, the machine learning method will be performed to recognize the subtle differences between images. Due to lack of golden standard of microcirculatory status, indirect parameters (such as lactate clearance, capillary refill time) and clinical outcomes will be recorded to evaluate the performance of maching learning model.
- Diagnostic Test: Near-infrared Vision Photograph
- The near-infrared image will be recorded (by a infrared camera connected to a laptop) for each enrolled patient
Clinical Trial Outcome Measures
- Hospital mortality
- Time Frame: From date of admission to our ICU until the date of hospital discharge or date of death from any cause, whichever came first, assessed up to 2 months.
- The rate of patients who died during hospital stay.
- Lacteta clearance rate
- Time Frame: When the near-infrared image is taken for a patient, the blood gas analysis will be performed immediately to get the value of lactate. After 2-hours, another blood gas analysis will be conducted to get the second value of lactete.
- The percent change of lactate between lactates measured in two time points. This parameter was usually used to guide resuscitation in septic shock.
- Capillary refill time (CRT)
- Time Frame: When the near-infrared image is taken for a patient, the capillary refill time will be measured immediately.
- A noninvasive parameter of peripheral perfusion status. CRT was measured by applying firm pressure to the ventral surface of the right index finger distal phalanx with a glass microscope slide. The pressure was increased until the skin was blank and then maintained for 10 seconds. The time for return of the normal skin color was registered with a chronometer, and a refill time greater than 3 seconds was defined as abnormal.(Hernández 2019.JAMA)
Participating in This Clinical Trial
- Age≥18 years; – Patients who were transfered to our ICU. Exclusion Criteria:
- Abnormalities of lower limbs arteries
Gender Eligibility: All
Minimum Age: 18 Years
Maximum Age: N/A
Are Healthy Volunteers Accepted: No
- Lead Sponsor
- Shanghai Zhongshan Hospital
- Provider of Information About this Clinical Study
- Overall Contact(s)
- Zhe Luo, +8613916127028, firstname.lastname@example.org
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