- M. Böhm,
- H. Schumacher, U. Laufs, P. Sleight,
- R. Schmieder, T. Unger, K. Koon, S. Yusuf
- n behalf of the ONTARGET-Investigators
in High Risk Cardiovascular Patients in the ONTARGET Trial M. Bhm, - - PowerPoint PPT Presentation
in High Risk Cardiovascular Patients in the ONTARGET Trial M. Bhm, - - PowerPoint PPT Presentation
Medication Adherence and Outcomes in High Risk Cardiovascular Patients in the ONTARGET Trial M. Bhm, H. Schumacher, U. Laufs, P. Sleight, R. Schmieder, T. Unger, K. Koon, S. Yusuf on behalf of the ONTARGET-Investigators Disclosures Authors
Authors were members of the ONTARGET Steering Committee and received honoraria and research grants from Boehringer Ingelheim as well as fees from other major cardovascular pharmaceutical companies
Disclosures
Nonadherence to medications
- is a problem in high risk patients
- associated with multidrug treatment
Background
- related to outcomes in several conditions
- Hypertension
- Hyperlipidemia
- CAD
- CHF
- Associated with-health related
life style characteristics
(„healthy adherer phenomenom“)
Objectives of ONTARGET
Patients: CV high risk patients after MI, Stroke, PAD, or DM + 2RF Questions: 1.Is telmisartan “non-inferior” to ramipril? 2.Is the combination superior to ramipril? Outcome: 1.Primary: CV death, MI, stroke, CHF hosp 2.Key secondary: CV death, MI, stroke (HOPE trial outcome) 3.Single Components of the primary
ONgoing Telmisartan Alone and in combination with Ramipril Global Endpoint Trial, Am Heart J 148: 52-61, 2004
Primary Outcome Telmisartan vs. Ramipril vs. Combination
1.0 RR (95% CI) 1.1 1.2 0.9 0.8 Ramipril better Telmisartan better Primary Composite CV Death / MI / Stroke (HOPE Composite) P=0.0045 P=0.001 Non-Inferiority Margin
0.0 0.05
Cumulative Hazard Ratio
500
Follow-up (days)
1000 1500 0.10 0.15 0.20 Telmisartan Ramipril Combination
ONgoing Telmisartan Alone and in combination with Ramipril Global Endpoint Trial, N Engl J Med 358: 1547-1559, 2008
Objective of Current Analysis
- Identification of patient characteristics
for nonadherence
- Effect of nonadherence on outcomes
- Effect of CV-outcomes on adherence
Definitions and Methods
Nonadherence: Complete and Permanent Discontinuation of All Study Medications Statistical Analysis:
- differences tested by Chi-square (categorical) or
Student`s t-test (continuous)
- Cox propotional hazard model
- nonadherence as time-dependent covariate
- multiple regression
- p<0.01
0.00 0.05
Proportion of Patients
360
Days of follow-up
Permanent Stop of Study Medication Continuously Increased Over Time
0.10 0.15 0.20 0.25 720 1080 1440 1800 2160
4629 patients discontinued
20.991 adherent
Cox Regression on Time to Permanent Stop of Study Medication (Non-Adherence, adjusted)
<0.0001 <0.0001 0.0009 <0.0001 <0.0001 <0.0001 <0.0001 0.0005 0.0026 0.0013 <0.0001 <0.0001 1.035 1.200 1.302 0.569 0.645 0.863 0.806 1.193 1.113 1.128 1.223 1.111 (1.030 – 1.039) (1.117 – 1.289) (1.115 – 1.521) (0.511 – 0.639) (0.574 – 0.726) (0.804 – 0.927) (0.750 – 0.865) (1.080 – 1.316) (1.038 – 1.192)) (0.974 – 1.128) (0.927 – 1.104) (0.867 – 1.036) Age, linear Female vs Male Black vs White Asian vs White Other vs White Activity 2-6/week vs ≤ 1/week Every day vs ≤ 1/week Smoking Current vs Never Smoking Formerly vs Never Stroke / TIA History of diabetes Episodes of depression Variable Pr > ChiSq HR 95% CI
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, neuro-psychiatric disorders
100.0 4629 13.7 635 ≥ 4 years 86.3 3994 13.2 613 3y - < 4 years 73.0 3381 17.0 785 2y - < 3 years 56.1 2596 22.4 1038 1y - < 2 years 33.7 1558 13.4 619 6m - < 1 year 20.3 939 12.6 585 6w - < 6 months 7.7 354 7.7 354 < 6 weeks Cumulative Percent Cumulative Frequency Percent Frequency Permanent discontinuation
Distribution of Premature Permanent Discontinuations of Study Medication - By Time
Nonadherence Increases Overall Event Rates
Rapid Increase of Events by Year After Permanent Discontinuation of Study Medication
Rapid Increase of Events by Year After Permanent Discontinuation of Study Medication
Cox Model with Time-Dependent Covariate
4-fold endpoint 3-fold endpoint CV death MI Stroke CHF Hospitalisation <.0001 <.0001 <.0001 0.6569 0.5171 <.0001 1.298 (1.181 – 1.427) 1.385 (1.255 – 1.528) 2.050 (1.824 – 2.303) 1.043 (0.866 – 1.256) 1.066 (0.879 – 1.293) 1.464 (1.228 – 1.745) p Hazard Ratio (CI) Time-dependent (HR for being off medication)
Rate of Rise of Event Rates after Stop of Study Medication is Similiar Between Years of Discontinuation
365
Days of follow-up
730 1095 1460 1825 2190
4-fold Endpoint
(CV-Death, MI, Stroke, CHF-Hospitalisation)
≥ 4 years 3 - <4 years 2 - <3 years 1 - <2 years <1 year No Discontinuation
0.00 0.05
Proportion of Patients
0.25 0.10 0.15 0.20
Risk for Discontinuation of Medication is Increased After Nonfatal Primary Event
Risk for Discontinuation of Medication is Increased After Nonfatal Other Events
Number of Events Increases Nonadherence
10
%
Events None 1 2 3 ≥ 4
20 30 40 50 60 70 80 90
Adherence No adherence
100
CHF Myocardial Infarction CV-Death Stroke 3-Fold Endpoint 4-Fold Endpoint
60 65
Rate of Adherence (%)
70 75 80 85 90
No Event ≥ 4 years 2 - <3 years 1 - <2 years <1 year 3 - <4 years
Patients with an Early Event Have Worse Mean Adherence Rates
Conclusions:
- Ageing, females, ethnics, low physical activity,
smoking, diabetes, neuro-psychiatric disorders are predictors of nonadherence
- becoming nonadherent rapidly increases events
- the event itself reduces adherence
leading into a vicious cycle!
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, neuro-psychiatric disorders
Concept: Nonadherence-Event Vicious Cycle
Nonadherence
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, Neuro-psychiatric disorders
Concept: Nonadherence-Event Vicious Cycle
Nonadherence Events
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, Neuro-psychiatric disorders
Concept: Nonadherence-Event Vicious Cycle
Nonadherence Events
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, Neuro-psychiatric disorders
Increased Morbidity, Less Trust in Therapeutic Interventions
Concept: Nonadherence-Event Vicious Cycle
Nonadherence Events
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, Neuro-psychiatric disorders
Increased Morbidity, Less Trust in Therapeutic Interventions
Concept: Nonadherence-Event Vicious Cycle
Nonadherence Events
Age, Gender, Ethnics, Physical Activity, Smoking, Diabetes, Neuro-psychiatric disorders
Increased Morbidity Less Trust in Therapeutic Interventions
Concept: Nonadherence-Event Vicious Cycle
Need for specific Interventions!
- M. Böhm
Innere Medizin III (Kardiologie / Angiologie / Internistische Intensivmedizin) Universitätsklinikum des Saarlandes Homburg/Saar