Near-infrared Vision for Microcirculatory Status

NCT ID: NCT04399811

Last Updated: 2020-05-22

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 2000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2020-05-17
• Study Completion Date: 2023-12-31

Brief Summary

The investigators aimed to combine the image of near-infrared vision and machine learning method to evaluate the microcirculatory status of critical ill patients.

Detailed 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.

Conditions

Near-infrared Vision; Machine Learning; Microcirculatory Status

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

Near-infrared Vision Photograph

The near-infrared image will be recorded (by a infrared camera connected to a laptop) for each enrolled patient

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

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

Exclusion Criteria

• Abnormalities of lower limbs arteries

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Shanghai Zhongshan Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Central Contacts

Zhe Luo

Role: CONTACT

luo.zhe@zs-hospital.sh.cn

+8613916127028

Other Identifiers

B2020-057R

Identifier Type: -

Identifier Source: org_study_id