Condition: Kidney Transplant; Complications · Liver Transplant; Complications · Sponsor: University of Rome Tor Vergata
To define the sensibility and the specificity of increased levels of MR-proADM for early, non-invasive, diagnosis of AR and DGF after kidney and liver transplantation creating a predictive model for related complications after kidney and liver transplantation based on the pre-operative and post-operative levels of MR-proADM and by a machine learning process.
This description comes directly from the study's public registry record.
Roberta Angelico, PhD FEBS · 0620908294 · roberta.angelico@med.uniroma2.it
Domiziana Pedini, MD · +393488869569 · domiziana.pedini@libero.it
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| University of Rome Tor Vergata | Rome, Italy | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06130046