Prognostic Factors Working Group
Prognostic Factors for Drug Development and Clinical Care Management
Goals
To develop prognostic factors for transthyretin (ATTR) and light chain (AL ) amyloidosis clinical trial endpoints, with quantitative assessments and validation that reflects current standards of care.
Rationale
- Understanding prognostic factors is central to optimizing clinical trial designs in terms of enrichment, inclusion/exclusion criteria, baseline stratification, trial durations, and potential use of external control data. These design specifications rely on quantitative understanding of baseline prognostic factors for the trial’s endpoints.
- Combinations of prognostic factors into composite prognostic scores with better predictive performance than any single factor can also improve trial designs.
- While there is confidence in our shared knowledge of prognostic factors for survival and other outcomes, specific quantification of prognostic factors is needed for common trial endpoints such as changes in function (e.g., Six-Minute Walk Duration [6MWD]) or quality of life (e.g., Kansas City Cardiomyopathy Questionnaire [KCCQ]).
- Quantitative relationships between known prognostic factors and outcomes (e.g., heart failure events, survival) also need to be updated for current standard of care.
Members
Brian Boursiquot
Columbia University
Chafic Karam
Abramson Cancer Center of the University of Pennsylvania
David Wolinsky
Cleveland Clinic Florida
Dimitrios Bampatsias
Columbia University
Helen Lachmann
Royal Free London NHS Foundation Trust
James Hoffman
University of Miami Sylvester Cancer Center
Jamie Zigterman
Amyloidosis Research Consortium
Jan Griffin
Medical University of South Carolina
Jenni Li
FDA
Joban Vaishnav
Johns Hopkins
Jovian Yu
AbbVie
Mazen Hanna
Cleveland Clinic
Mike Petrassi
Protego
Morie Gertz
Mayo Clinic
Pablo Garcia-Pavia
Hospital Universitario Puerta de Hierro-Majadahonda
Rajshekhar Chakraborty
Columbia University Irving Medical Center
Ricardo Rocha
Intellia
Ron Witteles
Stanford University School of Medicine
Yevgeniy Brailovsky
Columbia University


