ECMO

16 registered clinical trials studyying ECMO — 8 currently recruiting.

Status	Trial	Sponsor	Phase
Recruiting	Early Intra-aortic Balloon Pump Use After Venoarterial Extracorporeal Membrane Oxygenation NCT06872021	Beijing Anzhen Hospital	N/A
Recruiting	Influence of Personalized Lung Volume Optimization Maneuver on Lung Function and Cardiac Performance in Childr NCT07193719	Charite University, Berlin, Germany	Phase 1 / Phase 2
Completed	Effect of Initiation of Veno-venous ECMO on Urine Output and Acute Kidney Injury NCT07368868	University Hospital, Ghent	—
Not Yet Recruiting	EVOLUTION OF D-DIMER AS A MARKER OF BLEEDING RISK ON ECMO NCT07039513	University Hospital, Strasbourg, France	—
Recruiting	Standby Cannulated ECMO for High-Risk Percutaneous Coronary Intervention NCT06274411	Beijing Anzhen Hospital	N/A
Recruiting	Restrictive Versus Liberal Thresholds for RBC Transfusion in ECMO NCT06560164	Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)	N/A
Recruiting	A Novel Strategy of ECMO Management Using Nafamostat for Regional Combined With Low Intensity Systematic Antic NCT06676085	Beijing Chao Yang Hospital	N/A
Recruiting	The ECMOCYP (cytochromes P450 Activity) Study NCT06662084	University Hospital, Geneva	—
Completed	Virtual Reality Training for ECMO Circuit Checks NCT07138599	Leiden University Medical Center	N/A
Not Yet Recruiting	Precise Treatment of Ceftazidime-Avibactam in Patients With CRO Infections Under the Guidance of TDM and PPK M NCT06210542	Sichuan Provincial People's Hospital	—
Withdrawn	Can Blood Panels Provide Early Warning of Bleeding in Patients on ECMO? NCT04478136	Montefiore Medical Center	—
Unknown	Effects of Ulinastatin on Inflammatory Response During ECMO Support NCT04990752	Nanfang Hospital, Southern Medical University	—
Unknown	Safety and Effectiveness of Low-flow ECMO Driving by CVVH Machine in Severe NCP NCT04340414	Peking Union Medical College Hospital	N/A
Active Not Recruiting	Veno-venous Extracorporeal Membrane Oxygenation (VV-ECMO) Heparin Study NCT04496362	Baylor Research Institute	Phase 4
Completed	To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms NCT06654388	Zhujiang Hospital	—
Completed	Cardinality Matching Study of Early v.s. Delayed VV ECMO in Severe Respiratory Failure NCT03981393	University of Cambridge	—