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Cyclic On-off Switching of Pulmonary Blood Flow in Moderate to Severe ARDS

S

Southeast University, China

Status

Not yet enrolling

Conditions

Pulmonary Perfusion
ARDS (Acute Respiratory Distress Syndrome)
Electrical Impedance Tomography (EIT)

Study type

Observational

Funder types

Other

Identifiers

NCT07327268
3D-EIT perfusion

Details and patient eligibility

About

Although the theoretical model of "cyclic on-off switching of pulmonary blood flow" provides a crucial perspective for understanding VILI, its clinical validation and real-time intervention face significant obstacles. The fundamental reason lies in the lack of pulmonary microcirculation monitoring technology capable of bedside, non-invasive, continuous operation with sufficient spatiotemporal resolution. Nowadays, a novel 3D-EIT can perform real-time and non-invasive assessment of the distribution of pulmonary blood flow. However, if 3D-EIT can help to identify "cyclic on-off switching of pulmonary blood flow" is still unclear.

Enrollment

40 estimated patients

Sex

All

Ages

18 to 75 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Adult patients with mechanical ventilation
  2. diagnosis of moderate to severe ARDS no more than 72 hours

Exclusion criteria

  1. Chronic respiratory diseases that required long-term oxygen therapy, such as pulmonary fibrosis or chronical obstructive pulmonary disease
  2. Contraindications to EIT (e.g., active implantable device, chest malformation, unstable spinal injuries or fractures, and open chest wounds)
  3. Undrained pneumothorax or pneumomediastinum,
  4. Hemodynamic instability
  5. Pregnancy
  6. Refusal by family or the attending physician to participate in the study.

Trial design

40 participants in 3 patient groups

phase 1
Description:
patients ventilated with a tidal volume of 4ml/kg pbw
phase 2
Description:
patients ventilated with a tidal volume of 6ml/kg pbw
phase 3
Description:
patients ventilated with a tidal volume of 8ml/kg pbw

Trial contacts and locations

1

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Central trial contact

ling liu Liu, PhD

Data sourced from clinicaltrials.gov

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