心血管终点事件定义
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Standard End Point Definitions in Cardiovascular Trials
Karen A. Hicks, M.D.
Medical Officer
Division of Cardiovascular and Renal Products (DCRP), Center for Drug Evaluation and Research (CDER),
Food & Drug Administration
On behalf of the Standardized Data Collection for Cardiovascular Trials Initiative
CDISC Webinar
Friday, November 19, 2010
1:00 p.m. –2:00 p.m.
Key Events Leading to the Need for Standards in Cardiovascular Trials z Endocrinologic and Metabolic Drugs Advisory Committee (July 2008)
z Diabetes Cardiovascular Guidance (December 2008)
z Advisory Committee Meetings (April 2009)
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July 2008 Endocrinologic and Metabolic Drugs Advisory Committee
z Discussed the role of cardiovascular assessment in the premarketing and postmarketing settings
z Recommended requiring sponsors to conduct a long-term cardiovascular trial (VOTE: 14 “YES”, 2 “NO”)
z If an anti-diabetic therapy demonstrated a concerning cardiovascular (CV) safety signal during Phase 2/3
development
OR
z If no signal existed (and sponsor could not provide other equivalent evidence to rule out unacceptable cardiovascular risk)
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Diabetes Cardiovascular Guidance z Final guidance published in December 2008 z Guidance for Industry: “Diabetes Mellitus—
Evaluating Cardiovascular Risk in New
Antidiabetic Therapies to Treat Type 2 Diabetes”z Identifies HbA1c as the primary efficacy end point for glucose reduction
z Asks sponsors to demonstrate that new type 2 diabetes agents do not unacceptably increase cardiovascular risk
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March 2009
z Draft proposal for cardiovascular end points, definitions, and case report forms
z Internal and external discussion on best path forward
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Advisory Committee Meetings
(April 2009)
z Cardiovascular adverse events were not prespecified or predefined
z Missing data (key data elements never collected)
z Limitations of retrospective analysis (Broad SMQ MACE, Custom MACE)
z Cardiovascular adverse event rates appeared to be low (low risk populations)
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Why Data Standards?
z To improve the quality and efficiency of cardiovascular trials
z To provide end point definitions so that events are clearly characterized by objective criteria and reported uniformly
z To standardize data collection to capture key data elements
z To simplify analysis of events in drug development programs or among different clinical trials and to more easily identify trends and other safety signals
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