Literature DB >> 25312436

Predicting the effects of blood pressure-lowering treatment on major cardiovascular events for individual patients with type 2 diabetes mellitus: results from Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation.

Joep van der Leeuw1, Frank L J Visseren2, Mark Woodward1, Sophia Zoungas1, Andre Pascal Kengne1, Yolanda van der Graaf1, Paul Glasziou1, Pavel Hamet1, Stephen MacMahon1, Neil Poulter1, Diederick E Grobbee1, John Chalmers1.   

Abstract

UNLABELLED: Blood pressure-lowering treatment reduces cardiovascular risk in patients with diabetes mellitus, but the effect varies between individuals. We sought to identify which patients benefit most from such treatment in a large clinical trial in type 2 diabetes mellitus. In Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation (ADVANCE) participants (n=11 140), we estimated the individual patient 5-year absolute risk of major adverse cardiovascular events with and without treatment by perindopril-indapamide (4/1.25 mg). The difference between treated and untreated risk is the estimated individual patient's absolute risk reduction (ARR). Predictions were based on a Cox proportional hazards model inclusive of demographic and clinical characteristics together with the observed relative treatment effect. The group-level effect of selectively treating patients with an estimated ARR above a range of decision thresholds was compared with treating everyone or those with a blood pressure >140/90 mm Hg using net benefit analysis. In ADVANCE, there was wide variation in treatment effects across individual patients. According to the algorithm, 43% of patients had a large predicted 5-year ARR of ≥1% (number-needed-to-treat [NNT5] ≤100) and 40% had an intermediate predicted ARR of 0.5% to 1% (NNT5=100-`200). The proportion of patients with a small ARR of ≤0.5% (NNT5≥200) was 17%. Provided that one is prepared to treat at most 200 patients for 5 years to prevent 1 adverse outcome, prediction-based treatment yielded the highest net benefit. In conclusion, a multivariable treatment algorithm can identify those individuals who benefit most from blood pressure-lowering therapy in terms of ARR of major adverse cardiovascular events and may be used to guide treatment decisions in individual patients with diabetes. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00145925.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  antihypertensive agents; diabetes mellitus; individualized medicine; medical decision making, computer-assisted

Mesh:

Substances:

Year:  2014        PMID: 25312436     DOI: 10.1161/HYPERTENSIONAHA.114.04421

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


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