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Yashashwi Pokharel, Fengming Tang, Philip G Jones +13 more · 2017 · JAMA cardiology · added 2026-04-24
The 2013 American College of Cardiology/American Heart Association (ACC/AHA) Cholesterol Management Guideline recommends moderate-intensity to high-intensity statin therapy in eligible patients. To ex Show more
The 2013 American College of Cardiology/American Heart Association (ACC/AHA) Cholesterol Management Guideline recommends moderate-intensity to high-intensity statin therapy in eligible patients. To examine adoption of the 2013 ACC/AHA guideline in US cardiology practices. Among 161 cardiology practices, trends in the use of moderate-intensity to high-intensity statin and nonstatin lipid-lowering therapy (LLT) were analyzed before (September 1, 2012, to November 1, 2013) and after (February 1, 2014, to April 1, 2015) publication of the 2013 ACC/AHA guideline among 4 mutually exclusive risk groups within the ACC Practice Innovation and Clinical Excellence Registry. Interrupted time series analysis was used to evaluate for differences in trend in use of moderate-intensity to high-intensity statin and nonstatin LLT use in hierarchical logistic regression models. Participants were a population-based sample of 1 105 356 preguideline patients (2 431 192 patient encounters) and 1 116 472 postguideline patients (2 377 219 patient encounters). Approximately 97% of patients had atherosclerotic cardiovascular disease (ASCVD). Moderate-intensity to high-intensity statin and nonstatin LLT use before and after publication of the 2013 ACC/AHA guideline. Time trend in the use of moderate-intensity to high-intensity statin and nonstatin LLT. In the study cohort, the mean (SD) age was 69.6 (12.1) years among 1 105 356 patients (40.2% female) before publication of the guideline and 70.0 (11.9) years among 1 116 472 patients (39.8% female) after publication of the guideline. Although there was a trend toward increasing use of moderate-intensity to high-intensity statins overall and in the ASCVD cohort, such a trend was already present before publication of the guideline. No significant difference in trend in the use of moderate-intensity to high-intensity statins was observed in other groups. The use of moderate-intensity to high-intensity statin therapy was 62.1% (before publication of the guideline) and 66.6% (after publication of the guideline) in the overall cohort, 62.7% (before publication) and 67.0% (after publication) in the ASCVD cohort, 50.6% (before publication) and 52.3% (after publication) in the cohort with elevated low-density lipoprotein cholesterol levels (ie, ≥190 mg/dL), 52.4% (before publication) and 55.2% (after publication) in the diabetes cohort, and 41.9% (before publication) and 46.9% (after publication) in the remaining group with 10-year ASCVD risk of 7.5% or higher. In hierarchical logistic regression models, there was a significant increase in the use of moderate-intensity to high-intensity statins in the overall cohort (4.8%) and in the ASCVD cohort (4.3%) (P < .01 for slope for both). There was no significant change for other risk cohorts. Nonstatin LLT use remained unchanged in the preguideline and postguideline periods in the hierarchical logistic regression models for all of the risk groups. Adoption of the 2013 ACC/AHA Cholesterol Management Guideline in cardiology practices was modest. Timely interventions are needed to improve guideline-concordant practice to reduce the burden of ASCVD. Show less
no PDF DOI: 10.1001/jamacardio.2016.5922
CETP
Joanna M M Howson, Wei Zhao, Daniel R Barnes +71 more · 2017 · Nature genetics · Nature · added 2026-04-24
Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indi Show more
Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier GWAS results and performed meta-analysis of results with 194,427 participants previously genotyped, totaling 88,192 CAD cases and 162,544 controls. We identified 25 new SNP-CAD associations (P < 5 × 10 Show less
📄 PDF DOI: 10.1038/ng.3874
LMOD1
Ron Do, Nathan O Stitziel, Hong-Hee Won +91 more · 2015 · Nature · Nature · added 2026-04-24
Ron Do, Nathan O Stitziel, Hong-Hee Won, Anders Berg Jørgensen, Stefano Duga, Pier Angelica Merlini, Adam Kiezun, Martin Farrall, Anuj Goel, Or Zuk, Illaria Guella, Rosanna Asselta, Leslie A Lange, Gina M Peloso, Paul L Auer, NHLBI Exome Sequencing Project, Domenico Girelli, Nicola Martinelli, Deborah N Farlow, Mark A DePristo, Robert Roberts, Alexander F R Stewart, Danish Saleheen, John Danesh, Stephen E Epstein, Suthesh Sivapalaratnam, G Kees Hovingh, John J Kastelein, Nilesh J Samani, Heribert Schunkert, Jeanette Erdmann, Svati H Shah, William E Kraus, Robert Davies, Majid Nikpay, Christopher T Johansen, Jian Wang, Robert A Hegele, Eliana Hechter, Winfried Marz, Marcus E Kleber, Jie Huang, Andrew D Johnson, Mingyao Li, Greg L Burke, Myron Gross, Yongmei Liu, Themistocles L Assimes, Gerardo Heiss, Ethan M Lange, Aaron R Folsom, Herman A Taylor, Oliviero Olivieri, Anders Hamsten, Robert Clarke, Dermot F Reilly, Wu Yin, Manuel A Rivas, Peter Donnelly, Jacques E Rossouw, Bruce M Psaty, David M Herrington, James G Wilson, Stephen S Rich, Michael J Bamshad, Russell P Tracy, L Adrienne Cupples, Daniel J Rader, Muredach P Reilly, John A Spertus, Sharon Cresci, Jaana Hartiala, W H Wilson Tang, Stanley L Hazen, Hooman Allayee, Alex P Reiner, Christopher S Carlson, Charles Kooperberg, Rebecca D Jackson, Eric Boerwinkle, Eric S Lander, Stephen M Schwartz, David S Siscovick, Ruth McPherson, Anne Tybjaerg-Hansen, Goncalo R Abecasis, Hugh Watkins, Deborah A Nickerson, Diego Ardissino, Shamil R Sunyaev, Christopher J O'Donnell, David Altshuler, Stacey Gabriel, Sekar Kathiresan Show less
Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previo Show more
Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families, whereas common variants at more than 45 loci have been associated with MI risk in the population. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (≤50 years in males and ≤60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol > 190 mg dl(-1). At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk. Show less
📄 PDF DOI: 10.1038/nature13917
APOA5