TY - JOUR
T1 - Impact of a Patient’s Baseline Risk on the Relative Benefit and Harm of a Preventive Treatment Strategy
T2 - Applying Trial Results in Clinical Decision Making
AU - de Vries, Tamar I.
AU - Stam-Slob, Manon C.
AU - Peters, Ron J.G.
AU - van der Graaf, Yolanda
AU - Westerink, Jan
AU - Visseren, Frank L.J.
N1 - Funding Information:
The authors would like to acknowledge the contributions of Dr Janice Pogue from the Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada, who passed away January 22, 2016. This article was prepared using data from RE-LY (Randomized Evaluation of Long-Term Anticoagulant Therapy) trial data obtained from www.clini?calst?udyda? tareq?uest.com. The research proposal was reviewed by an Independent Review Panel, and Boehringer Ingelheim did not influence this decision, nor any of the conducted analyses or conclusions. This article was prepared using SPRINT_POP Research Materials obtained from the National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository Information Coordinating Center and does not necessarily reflect the opin-ions or views of the SPRINT_POP or the NHLBI.
Publisher Copyright:
© 2021 The Authors.
PY - 2022/1/4
Y1 - 2022/1/4
N2 - BACKGROUND: For translating an overall trial result into an individual patient’s expected absolute treatment effect, differences in relative treatment effect between patients need to be taken into account. The aim of this study was to evaluate whether relative treatment effects of medication in 2 large contemporary trials are influenced by multivariable baseline risk of an individual patient. METHODS AND RESULTS: In 9361 patients from SPRINT (Systolic Blood Pressure Intervention Trial), risk of major adverse cardiovascular events was assessed using a newly derived risk model. In 18 133 patients from the RE-LY (Randomized Evaluation of Long-Term Anticoagulant Therapy) trial, risk of stroke or systemic embolism and major bleeding was assessed using the Global Anticoagulant Registry in the Field– Atrial Fibrillation risk model. Heterogeneity of trial treatment effect was assessed using Cox models of trial allocation, model linear predictor, and their interaction. There was no significant interaction between baseline risk and relative treatment effect from intensive blood pressure lowering in SPRINT (P=0.92) or from dabigatran compared with warfarin for stroke or systemic embolism in the RE-LY trial (P=0.71). There was significant interaction between baseline risk and treatment effect from dabigatran versus warfarin in the RE-LY trial (P<0.001) for major bleeding. Quartile-specific hazard ratios for bleeding ranged from 0.40 (95% CI, 0.26– 0.61) to 1.04 (95% CI, 0.83–1.03) for dabigatran, 110 mg, and from 0.61 (95% CI, 0.42– 0.88) to 1.20 (95% CI, 0.97–1.50) for dabigatran, 150 mg, compared with warfarin. CONCLUSIONS: Effect modification of relative treatment effect by individual baseline event risk should be assessed systemati-cally in randomized clinical trials using multivariate risk prediction, not only in terms of treatment efficacy but also for important treatment harms, as a prespecified analysis. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01206062.
AB - BACKGROUND: For translating an overall trial result into an individual patient’s expected absolute treatment effect, differences in relative treatment effect between patients need to be taken into account. The aim of this study was to evaluate whether relative treatment effects of medication in 2 large contemporary trials are influenced by multivariable baseline risk of an individual patient. METHODS AND RESULTS: In 9361 patients from SPRINT (Systolic Blood Pressure Intervention Trial), risk of major adverse cardiovascular events was assessed using a newly derived risk model. In 18 133 patients from the RE-LY (Randomized Evaluation of Long-Term Anticoagulant Therapy) trial, risk of stroke or systemic embolism and major bleeding was assessed using the Global Anticoagulant Registry in the Field– Atrial Fibrillation risk model. Heterogeneity of trial treatment effect was assessed using Cox models of trial allocation, model linear predictor, and their interaction. There was no significant interaction between baseline risk and relative treatment effect from intensive blood pressure lowering in SPRINT (P=0.92) or from dabigatran compared with warfarin for stroke or systemic embolism in the RE-LY trial (P=0.71). There was significant interaction between baseline risk and treatment effect from dabigatran versus warfarin in the RE-LY trial (P<0.001) for major bleeding. Quartile-specific hazard ratios for bleeding ranged from 0.40 (95% CI, 0.26– 0.61) to 1.04 (95% CI, 0.83–1.03) for dabigatran, 110 mg, and from 0.61 (95% CI, 0.42– 0.88) to 1.20 (95% CI, 0.97–1.50) for dabigatran, 150 mg, compared with warfarin. CONCLUSIONS: Effect modification of relative treatment effect by individual baseline event risk should be assessed systemati-cally in randomized clinical trials using multivariate risk prediction, not only in terms of treatment efficacy but also for important treatment harms, as a prespecified analysis. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01206062.
KW - Adverse drug events
KW - Cardiovascular disease
KW - Multivariate analysis
KW - Thromboembolism
KW - Treatment outcome
KW - Embolism/etiology
KW - Humans
KW - Risk Factors
KW - Anticoagulants/adverse effects
KW - Stroke/chemically induced
KW - Dabigatran
KW - Hemorrhage/chemically induced
KW - Warfarin/adverse effects
KW - Clinical Decision-Making
KW - Atrial Fibrillation/complications
UR - http://www.scopus.com/inward/record.url?scp=85123322619&partnerID=8YFLogxK
U2 - 10.1161/JAHA.120.017605
DO - 10.1161/JAHA.120.017605
M3 - Article
C2 - 34935407
AN - SCOPUS:85123322619
SN - 2047-9980
VL - 11
SP - 1
EP - 17
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 1
M1 - e017605
ER -