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Practical use of Pharmacoepidemiology in clinical drug development   Presenter: Dr David Neasham  Company logo here
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background ,[object Object],[object Object],[object Object],[object Object],[object Object]
Contributions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Reasons ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study design
© Imperial College London Slide
Study design ,[object Object],[object Object],[object Object],[object Object]
Study design ,[object Object],[object Object],[object Object],[object Object],[object Object]
Study design ,[object Object],[object Object],[object Object],[object Object]
A typical scenario: identifying risks INCIDENCE OF  COMMONLY  OCCURRING EVENT  FROM CLINICAL TRIALS Background Epidemiology Risk management strategy     INCIDENCE OF EVENT IN GENERAL  POPULATION IDENTIFICATION OF RISK FACTORS POTENTIAL SIGNALS  OF RARE EVENTS Spontaneous Reports Observational Studies Other Activities 1/1,000 1/500 1/100 1/10,000 1/5,000 1/1,000 1/100,000 1/50,000 1/10,000 HYPOTHESIS TESTING 1/1,000,000 1/500,000 1/100,000, Clinical trial  Data Insufficiently  powered Evidence  base Self-report  bias Best study  design….
Safety challenges in pre-approval phase   ,[object Object],[object Object],[object Object],[object Object]
Post-marketing pharmacovigilance ,[object Object],[object Object],[object Object],[object Object]
Product life-cycle and safety studies Approval Product life-cycle FIM Ph I Ph II Ph III Ph IV ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Postmarketing  pharmacovigilance Clinical Exposure in humans (Potential Denominator) Preclinical Sufficiently powered Easy study replication Large database studies No self-reporting bias
Example 1 ,[object Object]
Case Study - Yasmin and the Safety of DRSP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cohort Formation INGENIX Research Database Women (10-59 yrs) n = 959,482 Propensity score matching  of 12 initiator cohorts (n = 22,429) New dispensing of  Yasmin  (n = 31,149) New dispensing of  other OCs  (n = 360,505) ≥ 6 months continuous  enrollment  (n = 22,887) ≥ 6 months continuous enrollment  (n = 227,596) Propensity score matching  of 12 initiator cohorts (n = 44,858) 1:2 Ratio
Data Collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],New OC or  New type of OC OC Rx 6 Months Before  Dispensing Prospective  Data Collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Yasmin Launch Q3 Time Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2001 2002 2003 2004 Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow Follow Yasmin Control P 2005 Q1 Q2 Q3 Q4 Claims-Based Outcomes Chart-Based Outcomes Apr. Report Oct. Report Apr. Report Oct. Report Apr. Report Oct. Report Apr. Report Final Report
Blinded Chart Reviews to Confirm Outcomes Claims Based  Abstraction Medical Chart  Abstraction Screen  Claims Data Medical  Review
Rate Ratios Some outcomes may be continuations of pre-existing conditions *  No rate ratio calculated as no case in Yasmin Cohort ** Composite hyperkalemia outcome comprised of chart-confirmed cases of arrhythmia,  syncope, electrolyte disturbance, hyperkalemia, and myocardial infarction.  Syncope  Arrhythmia  Hyperkalemia  Other Electrolyte Disturbance Dialysis*  Myocardial Infarction* Hospitalization with Hyper/Hypokalemia* Death  Composite Hyperkalemia** 0 0 0 0 Incidence Rate Ratio –Yasmin versus Other OC  (95% CI) 5.0 1.0 2.0 4.0 3.0 0.5 0.25 0.33 0.2 0.1
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Flexible Data Collection Facilitates Risk Management
Example 2 ,[object Object]
Brief background   ,[object Object],[object Object],[object Object],[object Object]
Potential safety issues ,[object Object],[object Object]
Evolution of Lipid Management ATP Guidelines* ATP I (1988) ATP II (1993) ATP III (2001) Diet; low-dose, non-statin monotherapy High-dose statin, combination therapy Low- to moderate-dose statin monotherapy Increasing aggressiveness of cholesterol-lowering therapy * The National Cholesterol Education Program Adult Treatment Panel (ATP)
The CRESTOR study program ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pharmacoepidemiology program design ,[object Object],[object Object],[object Object],[object Object],[object Object]
Pharmacoepidemiology program overview ,[object Object]
[object Object],[object Object],Safety evaluation studies
Pooled person-time and outcomes
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dr David Neasham [email_address] +44 (0)1628 408442 Questions & answers Company logo here Practical use of Pharmacoepidemiology in clinical drug development

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David Neasham Practical Use Pharmacoepi Drug Dev

  • 1. Practical use of Pharmacoepidemiology in clinical drug development Presenter: Dr David Neasham Company logo here
  • 2.
  • 3.
  • 4.
  • 5.
  • 7. © Imperial College London Slide
  • 8.
  • 9.
  • 10.
  • 11. A typical scenario: identifying risks INCIDENCE OF COMMONLY OCCURRING EVENT FROM CLINICAL TRIALS Background Epidemiology Risk management strategy  INCIDENCE OF EVENT IN GENERAL POPULATION IDENTIFICATION OF RISK FACTORS POTENTIAL SIGNALS OF RARE EVENTS Spontaneous Reports Observational Studies Other Activities 1/1,000 1/500 1/100 1/10,000 1/5,000 1/1,000 1/100,000 1/50,000 1/10,000 HYPOTHESIS TESTING 1/1,000,000 1/500,000 1/100,000, Clinical trial Data Insufficiently powered Evidence base Self-report bias Best study design….
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  • 17. Cohort Formation INGENIX Research Database Women (10-59 yrs) n = 959,482 Propensity score matching of 12 initiator cohorts (n = 22,429) New dispensing of Yasmin (n = 31,149) New dispensing of other OCs (n = 360,505) ≥ 6 months continuous enrollment (n = 22,887) ≥ 6 months continuous enrollment (n = 227,596) Propensity score matching of 12 initiator cohorts (n = 44,858) 1:2 Ratio
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  • 19. Yasmin Launch Q3 Time Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2001 2002 2003 2004 Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow-Up Follow-Up Yasmin Control P Follow Follow Yasmin Control P 2005 Q1 Q2 Q3 Q4 Claims-Based Outcomes Chart-Based Outcomes Apr. Report Oct. Report Apr. Report Oct. Report Apr. Report Oct. Report Apr. Report Final Report
  • 20. Blinded Chart Reviews to Confirm Outcomes Claims Based Abstraction Medical Chart Abstraction Screen Claims Data Medical Review
  • 21. Rate Ratios Some outcomes may be continuations of pre-existing conditions * No rate ratio calculated as no case in Yasmin Cohort ** Composite hyperkalemia outcome comprised of chart-confirmed cases of arrhythmia, syncope, electrolyte disturbance, hyperkalemia, and myocardial infarction. Syncope Arrhythmia Hyperkalemia Other Electrolyte Disturbance Dialysis* Myocardial Infarction* Hospitalization with Hyper/Hypokalemia* Death Composite Hyperkalemia** 0 0 0 0 Incidence Rate Ratio –Yasmin versus Other OC (95% CI) 5.0 1.0 2.0 4.0 3.0 0.5 0.25 0.33 0.2 0.1
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  • 26. Evolution of Lipid Management ATP Guidelines* ATP I (1988) ATP II (1993) ATP III (2001) Diet; low-dose, non-statin monotherapy High-dose statin, combination therapy Low- to moderate-dose statin monotherapy Increasing aggressiveness of cholesterol-lowering therapy * The National Cholesterol Education Program Adult Treatment Panel (ATP)
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  • 33. Dr David Neasham [email_address] +44 (0)1628 408442 Questions & answers Company logo here Practical use of Pharmacoepidemiology in clinical drug development