TY - JOUR KW - Female KW - Humans KW - Aged KW - Follow-Up Studies KW - Male KW - Treatment Outcome KW - Risk Factors KW - Time Factors KW - Antihypertensive Agents/therapeutic use KW - Blood Glucose/metabolism KW - Blood Pressure/ drug effects KW - Cardiovascular Diseases/ drug therapy/etiology/physiopathology KW - Diabetes Mellitus, Type 2/complications/ drug therapy/physiopathology KW - Drug Combinations KW - Gliclazide/ administration & dosage KW - Hypoglycemic Agents KW - Indapamide/ administration & dosage KW - Perindopril/ administration & dosage AU - Zoungas S. AU - Glass Parisa AU - Kengne A. AU - Woodward Mark AU - Visseren F. AU - Poulter N. AU - Grobbee D. AU - Hamet P. AU - van der Leeuw J. AU - van der Graaf Y. AU - Chalmers J. AU - Macmahon S AB -
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] /=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.
AD - From the Department of Vascular Medicine (J.v.d.L., F.L.J.V.), Julius Centre for Health Sciences and Primary Care (Y.v.d.G., D.E.G.), University Medical Centre Utrecht, Utrecht, The Netherlands; The George Institute for Global Health, University of Sydney, Sydney, Australia (M.W., S.Z., A.P.K., S.M., J.C.); NCRP for Cardiovascular and Metabolic Diseases, South African Medical Research Council and University of Cape Town, Cape Town, South Africa (A.P.K.); Centre for Research on Evidence Based Practice, Bond University, Robina, Queensland, Australia (P.G.); Centre Hospitalier de L'Universite de Montreal, Montreal, Canada (P.H.); University of Oxford, Oxford, United Kingdom (S.M.); and Imperial College London, London, United Kingdom (N.P.).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] /=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.
PY - 2015 SN - 1524-4563 (Electronic)