Near-infrared Vision for Microcirculatory Status (NVIM)

Fudan University

Status: Unknown

Conditions: Near-infrared Vision; Machine Learning; Microcirculatory Status

Treatments: Diagnostic Test: Near-infrared Vision Photograph

Study type: Observational

Funder types: Other

Identifiers

NCT04399811

B2020-057R

Details and patient eligibility

About

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 description

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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age≥18 years;
• Patients who were transfered to our ICU.

Exclusion criteria

• Abnormalities of lower limbs arteries