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Using a multimodal method to predict the results of weaning in children on breathing machine

Predicting weaning outcomes in mechanically ventilated children- a multimodal approach - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/08/072170
Enrollment
120
Registered
2024-08-08
Start date
Unknown
Completion date
Unknown
Last updated
2024-08-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: - Health Condition 2: J22- Unspecified acute lower respiratory infection

Interventions

Control Intervention1: NIL: NIL

Sponsors

Siddhartha Shankar Pati
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1.All children requiring mechanical ventilation for a minimum of 48 hours 2. Children aged more than 30 days of age to 18 years of age

Exclusion criteria

Exclusion criteria: 1.Patients with neuromuscular disease or diaphragmatic paralysis 2.Patients with tracheostomy 3.Patients who undergone surgical operations especially abdominal and thoracic operation 4.Patients with pneumothorax, pneumomediastinum, thoracostomy, chest tube or chest injuries that prevent ultrasound 5.Patients with pleural lesions or pleurodesis

Design outcomes

Primary

MeasureTime frame
To predict weaning outcomes in mechanically ventilated children using a multimodal approachTimepoint: Prior to extubation

Secondary

MeasureTime frame
1.To study the utility of trans thoracic ultrasonography & weaning indices in predicting post extubation distress/failure in mechanically ventilated children 2. To compare between lung aeration score, diaphragmatic indices, cardiovascular dysfunction, & CROP index/RSBI as predictors of weaning from mechanical ventilation Timepoint: Prior to extubation

Countries

India

Contacts

Public ContactSiddhartha Shankar Pati

St Johns medical college hospital

drlalitha03@gmail.com9448461673

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026