OBJECTIVES: The majority of patients with myocardial infarction (MI) and hypercholesterolaemia does not achieve guideline recommended low-density lipoprotein cholesterol (LDL) levels. Suboptimal dosages of statins explain this dilemma in most patients. DESIGN AND SETTING: We evaluated the relationship between statin treatment quality (optimal: LDL<115 mg/dl, suboptimal: LDL>/=115 mg/dl, no statin therapy despite hypercholesterolaemia) and the subsequent incidence of coronary events (coronary death, nonfatal MI, bypass surgery) over a 30 months follow-up in a large cohort of post MI patients with hypercholesterolaemia (n=2045). Analysis was performed in a nested case-control manner comparing 173 cases with a coronary event and 346 matched controls. RESULTS: Patients who developed a coronary event were treated optimally in 11.0%, suboptimally in 43.4% (p<0.05 vs. optimal treatment) and were untreated in 45.7% (p<0.001 vs. optimal treatment). Respective numbers in event-free patients were 21.4%, 47.7%, and 30.9%. After adjustment for most potential confounders, including all cardiovascular risk factors and medication, the relative risk of future non-fatal MI and coronary death associated with a suboptimal statin treatment was 2.02 (95% CI 1.04 to 4.18) compared to optimal statin treatment. Moreover, the statin equivalent dose in optimally treated individuals was significantly higher than in suboptimally treated individuals (0.85+/-0.03 vs. 0.78+/-0.02, p<0.05). CONCLUSION: In this community-based study, a lipid lowering therapy with statins into the recommended target range of LDL levels may be associated with decreased cardiovascular risk compared to a statin therapy without titrating the LDL level below 115 mg/dl. Thus, the quality of statin treatment was identified as an independent predictor of coronary events in post MI patients.
OBJECTIVES: The majority of patients with myocardial infarction (MI) and hypercholesterolaemia does not achieve guideline recommended low-density lipoprotein cholesterol (LDL) levels. Suboptimal dosages of statins explain this dilemma in most patients. DESIGN AND SETTING: We evaluated the relationship between statin treatment quality (optimal: LDL<115 mg/dl, suboptimal: LDL>/=115 mg/dl, no statin therapy despite hypercholesterolaemia) and the subsequent incidence of coronary events (coronary death, nonfatal MI, bypass surgery) over a 30 months follow-up in a large cohort of post MI patients with hypercholesterolaemia (n=2045). Analysis was performed in a nested case-control manner comparing 173 cases with a coronary event and 346 matched controls. RESULTS:Patients who developed a coronary event were treated optimally in 11.0%, suboptimally in 43.4% (p<0.05 vs. optimal treatment) and were untreated in 45.7% (p<0.001 vs. optimal treatment). Respective numbers in event-free patients were 21.4%, 47.7%, and 30.9%. After adjustment for most potential confounders, including all cardiovascular risk factors and medication, the relative risk of future non-fatal MI and coronary death associated with a suboptimal statin treatment was 2.02 (95% CI 1.04 to 4.18) compared to optimal statin treatment. Moreover, the statin equivalent dose in optimally treated individuals was significantly higher than in suboptimally treated individuals (0.85+/-0.03 vs. 0.78+/-0.02, p<0.05). CONCLUSION: In this community-based study, a lipid lowering therapy with statins into the recommended target range of LDL levels may be associated with decreased cardiovascular risk compared to a statin therapy without titrating the LDL level below 115 mg/dl. Thus, the quality of statin treatment was identified as an independent predictor of coronary events in post MI patients.
Authors: Georgia Pambianco; Manuel Lombardero; Vera Bittner; Alan Forker; Frank Kennedy; Ashok Krishnaswami; Arshag D Mooradian; Rodica Pop-Busui; Jamal S Rana; Annabelle Rodriguez; Michael Steffes; Trevor J Orchard Journal: Prev Cardiol Date: 2009
Authors: Bugra Ozkan; Özcan Örsçelik; Hakan Uyar; Mehmet Ballı; Eren Güçer; Onur Aslan; Gülhan Temel; Ahmet Çelik; İsmail Türkay Özcan Journal: Biomed Res Int Date: 2018-06-07 Impact factor: 3.411
Authors: Fei Gao; Yu Jie Zhou; Da Yi Hu; Ying Xin Zhao; Yu Yang Liu; Zhi Jian Wang; Shi Wei Yang; Xiao Li Liu Journal: PLoS One Date: 2013-04-09 Impact factor: 3.240
Authors: Patrick Linsel-Nitschke; Anika Götz; Jeanette Erdmann; Ingrid Braenne; Peter Braund; Christian Hengstenberg; Klaus Stark; Marcus Fischer; Stefan Schreiber; Nour Eddine El Mokhtari; Arne Schaefer; Jürgen Schrezenmeir; Jürgen Schrezenmeier; Diana Rubin; Anke Hinney; Thomas Reinehr; Christian Roth; Jan Ortlepp; Peter Hanrath; Alistair S Hall; Massimo Mangino; Wolfgang Lieb; Claudia Lamina; Iris M Heid; Angela Doering; Christian Gieger; Annette Peters; Thomas Meitinger; H-Erich Wichmann; Inke R König; Andreas Ziegler; Florian Kronenberg; Nilesh J Samani; Heribert Schunkert Journal: PLoS One Date: 2008-08-20 Impact factor: 3.240