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Can the ultrasound scan of femoral artery predict the quality of chest compressions in cardiac arrest patients

Clinical utility of Femoral Artery Collapse Ratio for predicting the quality of chest compression among Cardiac Arrest Patients A prospective observational study - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/10/096390
Enrollment
128
Registered
2025-10-23
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Health Condition 1: I462- Cardiac arrest due to underlying cardiac condition

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil Intervention4: Nil: Nil

Sponsors

Jawaharlal Institute of Postgraduate Medical Education and Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Adult cardiac arrest patients with age more than 18 years Intubated with End tidal CO2 monitoring

Exclusion criteria

Exclusion criteria: 1.pelvic trauma patients 2.attained return of spontaneous circulation before obtaining scan values 3.pregnant women 4.known femoral artery pathology like dissection or stenosis or thrombosis 4.blockage of end tidal co2 sampling tubes with secretions

Design outcomes

Primary

MeasureTime frame
To assess the clinical utility of Femoral Artery Collapse Ratio for predicting the quality of chest compressions among cardiac arrest patientsTimepoint: During initial 2 minutes of chest compressions after intubation—

Secondary

MeasureTime frame
To identify the association of Femoral Artery Collapse Ratio with Return of Spontaneous CirculationTimepoint: During chest compressions after intubation until return of spontaneous circulation/patient being declared dead—

Countries

India

Contacts

Public ContactAmrithanand V T

JIPMER

amrithanandvt@gmail.com919013590856

Outcome results

None listed

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