experts evaluate the progress of the CRIC Study

Observational Study
Monitoring Board

An independent group of experts in areas such as nephrology, cardiology, preventive medicine, epidemiology, nutrition, ethics, health economics, and biostatistics who are not otherwise involved in the study have been recruited by the NIDDK to evaluate the proposed protocol for all phases of the CRIC Study and to periodically review the progress of the study.

The individuals listed below are members of the
Observational Study Monitoring Board for CRIC.

Ann M. O’Hare, M.D. (CHAIR)

Associate Professor of Medicine
Division of Nephrology
University of Washington
VA Puget Sound Health Care
Renal Dialysis Unit

David T. Gilbertson, Ph.D.

Executive Director of Epidemiology & Biostatistics
United States Renal Data System

Girish Nitin Nadkarni, M.B.B.S, M.P.H.

Professor of Medicine
Icahn School of medicine at Mount Sinai
Division of nephrology

David Nathan, M.D.

Director, Massachusetts General Hospital
Diabetes Center
Professor of Medicine
Harvard Medical School

Lucila Ohno-Machado, M.D., Ph.D.

Chair, Department of Biomedical Informatics
Associate Dean for Informatics & Technology
University of California, San Diego

Stephen S. Rich, Ph.D.

Director, Center for Public Health Genomics
Harrison Professor & Vice Chair
Department of Public Health Sciences
University of Virginia

Carlos Jose Rodriguez, M.D., M.P.H.

Professor & Vice-Chair for Academic Affairs
Albert Einstein College of Medcine

Peter W. Wilson, M.D.

Emory University School of Medicine
Department of Medicine, Cardiology Division

CRIC Scientific Discoveries

Chronic kidney disease is common in the US population, and we understand that it increases the risk of cardiovascular disease. However, risk scores have not been generated specifically for identifying CKD patients, who are most likely to develop heart disease. In this large-scale proteomics study, we measured nearly 5,000 proteins and used machine learning methods to generate and validate a 32-protein risk score. This score surpassed clinical risk models for predicting incident cardiovascular disease.
Learn more ❯❯

CRIC Collaborations

The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples.
Learn more about collaborating with CRIC >>
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