Overview of Projects

The Program of Applied Translational Research (PATR) currently has nine projects under way. Below you will find information regarding each of them. If you are interested in learning more about them, you can explore their individual pages or contact us.

Novel Biomarkers of Acute Kidney Injury (AKI) after Cardiac Surgery

The Translational Research Investigating Biomarker Endpoints (TRIBE) consortium aims to improve the outcomes and safety of cardiac surgery.

Deceased-Donor Biomarker Study

The shortage of kidneys for transplantation is a major dilemma, which has driven efforts to expand the organ supply by using kidneys from deceased donors with risk factors for allograft dysfunction, such as older age and acute kidney injury.

Novel Serum and Urinary Biomarkers of Diabetic Kidney Disease

Type 2 diabetes is a major public health problem worldwide. Progressive chronic kidney disease (CKD) in type 2 diabetes is associated with significant morbidity and mortality.

Kidney Biomarkers and the Differential Diagnosis and Prognosis of AKI in Patients with Cirrhosis

Renal dysfunction is a common complication in hospitalized patients with cirrhosis. The diagnosis of Type 1 HRS is one of exclusion and cannot be made until other causes of renal failure, particularly acute tubular necrosis (ATN), are ruled out.

The ASsessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) Network

The ASsessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) Network is an epidemiological study of long term outcomes following episodes of AKI.

Chronic Kidney Disease in Children

Progression of chronic kidney disease (CKD) in children leads to end stage renal disease (ESRD), which is associated with mortality rates 30-150 times higher than the general pediatric population.

PRESERVE Trial (Sub-Study 578) Biomarker Collection and Analysis Among Participants

The PRESERVE trial (Prevention of Serious Adverse Events Following Angiography) is a multicenter VA Healthcare System study that is helmed by Steven Weisbord, MD, MSc and Paul Palevsky, MD, of the Pittsburgh VA Healthcare System.

ELectronic Alerts Intiative Association (ELAIA)

With the proliferation of the electronic health record, automated "alerts" have proliferated. 

Machine-Learning in Medicine

Arthur Lee Samuel, an expert in the field of computer gaming and artificial intelligence, is credited as defining machine-learning as a "field of study that gives computers the ability to learn without being explicitly programmed."