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Post- End- Expiratory Pressure Affect the Alveolar Heterogeneity in Moderate and Sever ARDS Patients

S

Southeast University, China

Status

Enrolling

Conditions

Ards

Treatments

Device: Post-end-Expiratory pressure

Study type

Observational

Funder types

Other

Identifiers

NCT03763890
20181129PEEP

Details and patient eligibility

About

This study try to use EIT ( Electronic impedance tomography ) to evaluate the alveolar heterogeneity and use trans-pulmonary pressure and stain to evaluate the lung injury . The study use these methods to figure out how PEEP impact the alveolar heterogeneity and VILI.

Full description

ARDS(Acute respiratory distress syndrome )is common in patients suffering Sepsis, trauma, burning and other sever condition and characterized by diffuse alveolar damage and alveolar heterogeneity.ARDS patient need MV(mechanical ventilation )to maintain oxygenation and need unique MV tragedy to avoid VILI(Ventilator induced Lung injury ).PEEP(post-end-expiratory pressure) is crucial to maintain oxygenation and avoid VILI according to researches. But there are also some other research different voice. This study try to use EIT ( Electronic impedance tomography ) to evaluate the alveolar heterogeneity and use trans-pulmonary pressure and stain to evaluate the lung injury . The study use these methods to figure out how PEEP impact the alveolar heterogeneity and VILI.

Enrollment

40 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Age≥18 or<80;
  2. Moderate or sever ARDS in 2012 <Berlin definition>;
  3. Applied mechanical ventilation;
  4. Consent signed.

Exclusion criteria

  1. Asthma or COPD;
  2. Cardiogenic edema;
  3. Sever neutropenia(<500/mm3);
  4. Hemodynamic astatic: DOPA or Dobutamine >15 µg/kg/ min; NE > 15ug /min;
  5. GCS coma score ≤12;
  6. Thoracic injury or surgery patients contradict EIT ;
  7. Refuse to join in trail;
  8. Included in other clinical trail。

Trial contacts and locations

1

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Central trial contact

ling Liu, Phd; haibo qiu, PhD

Data sourced from clinicaltrials.gov

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