---
title: Near-infrared Vision for Microcirculatory Status
nct_id: NCT04399811
overall_status: UNKNOWN
sponsor: Shanghai Zhongshan Hospital
study_type: OBSERVATIONAL
primary_condition: Near-infrared Vision
canonical_url: "https://parkinsonspathways.com/agent/trials/NCT04399811.md"
clinicaltrials_gov: "https://clinicaltrials.gov/study/NCT04399811"
ct_last_update_post_date: 2020-05-22
last_seen_at: "2026-05-12T07:21:16.413Z"
source: ClinicalTrials.gov (mirrored, no enrichment)
---
# Near-infrared Vision for Microcirculatory Status

**Official Title:** Machine Learning-Based Near-infrared Vision to Evaluate the Microcirculatory of Critical Ill Patients: A Prospective Observational Study

**NCT ID:** [NCT04399811](https://clinicaltrials.gov/study/NCT04399811)

## Key Facts

- **Status:** UNKNOWN
- **Study Type:** OBSERVATIONAL
- **Target Enrollment:** 2000
- **Lead Sponsor:** Shanghai Zhongshan Hospital
- **Conditions:** Near-infrared Vision, Machine Learning, Microcirculatory Status
- **Start Date:** 2020-05-17
- **Completion Date:** 2023-12-31
- **CT.gov Last Update:** 2020-05-22

## 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.

## Eligibility

- **Minimum age:** 18 Years
- **Sex:** ALL
- **Healthy Volunteers:** No

```
Inclusion Criteria:

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

Exclusion Criteria:

* Abnormalities of lower limbs arteries
```

## Interventions

- **Near-infrared Vision Photograph** (DIAGNOSTIC_TEST) — The near-infrared image will be recorded (by a infrared camera connected to a laptop) for each enrolled patient

## Primary Outcomes

- **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.

## Secondary Outcomes

- **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.)_
- **Capillary refill time (CRT)** _(time frame: When the near-infrared image is taken for a patient, the capillary refill time will be measured immediately.)_

## Recent Field Changes (last 30 days)

- `status.overallStatus` — added _(2026-05-12)_
- `status.primaryCompletionDate` — added _(2026-05-12)_
- `status.completionDate` — added _(2026-05-12)_
- `status.lastUpdatePostDate` — added _(2026-05-12)_
- `design.enrollmentCount` — added _(2026-05-12)_
- `eligibility.criteria` — added _(2026-05-12)_
- `eligibility.minAge` — added _(2026-05-12)_
- `eligibility.sex` — added _(2026-05-12)_
- `outcomes.primary` — added _(2026-05-12)_
- `outcomes.secondary` — added _(2026-05-12)_
- `armsInterventions.interventions` — added _(2026-05-12)_
- `sponsor.lead` — added _(2026-05-12)_
- `results.hasResults` — added _(2026-05-12)_

---

*Canonical: https://parkinsonspathways.com/agent/trials/NCT04399811.md*  
*Source data (authoritative): https://clinicaltrials.gov/study/NCT04399811*  
*This page is a raw mirror with no AI summary, no editorial enrichment, and no Parkinson's-specific filtering.*