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Diallo A, Abbas M, Goodney G, Price E, Gaye A. Relationship between LDL-cholesterol, small and dense LDL particles, and mRNA expression in a cohort of African Americans. Am J Physiol Heart Circ Physiol 2024; 327:H690-H700. [PMID: 39028281 DOI: 10.1152/ajpheart.00332.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 07/20/2024]
Abstract
Understanding the characteristics and behavior of low-density lipoprotein (LDL) particles provides insights into the atherogenic risk of elevated LDL cholesterol in hypercholesterolemia, cardiovascular disease risks. Studying LDL particles helps identify specific LDL subtypes [e.g., small dense LDL particles (sdLDL)] that may be atherogenic and, consequently, potential targets for therapeutics. This study cohort consists of African Americans (AAs), a population disproportionately affected by cardiovascular diseases, thereby accentuating the importance of the investigation. Differential expression (DE) analysis was undertaken using a dataset comprising 17,947 protein-coding mRNAs from the whole blood transcriptomes of 416 samples to identify mRNAs associated with low-density lipoprotein cholesterol (LDL-C) and sdLDL plasma levels. Subsequently, mediation analyses were used to investigate the mediating role of sdLDL particles on the relationship between LDL-C levels and mRNA expression. Finally, pathway enrichment analysis was conducted to identify pathways involving mRNAs whose relationship with LDL-C is mediated by sdLDL. DE analysis revealed 1,048 and 284 mRNA transcripts differentially expressed by LDL-C and sdLDL levels, respectively. Mediation analysis revealed that the associations between LDL-C and 33 mRNAs were mediated by sdLDL. Of the 33 mRNAs mediated by sdLDL, 18 were mediated in both males and females. Nine mRNAs were mediated only in females, and six were mediated only in males. Pathway analysis showed that 33 mRNAs are involved in pathways associated with the immune system, inflammatory response, metabolism, and cardiovascular disease (CVD) risk. In conclusion, our study provides valuable insights into the complex interplay between LDL-C, sdLDL, and mRNA expression in a large sample of AAs. The results underscore the importance of incorporating sdLDL measurement alongside LDL-C levels to improve the accuracy of managing hypercholesterolemia and effectively stratify the risk of CVD. This is essential as differences in sdLDL modulate atherogenic properties at the transcriptome level.NEW & NOTEWORTHY The study investigated the interplay between LDL-C and mRNA expression, focusing on the role of small dense LDL (sdLDL) particles and sex differences. Differential expression analysis identified 1,048 and 284 mRNAs associated with LDL-C and sdLDL levels, respectively. Mediation analysis revealed that sdLDL mediates the relationship between LDL-C and 33 mRNAs involved in immune, inflammatory, and metabolic pathways. These findings highlight the significance of sdLDL in cardiovascular disease risk assessment and underscore sex-specific differences in lipid metabolism.
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Affiliation(s)
- Ana Diallo
- School of Nursing, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Malak Abbas
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States
| | - Gabriel Goodney
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States
| | - Elvin Price
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Amadou Gaye
- Department of Integrative Genomics and Epidemiology, School of Graduate Studies, Meharry Medical College, Nashville, Tennessee, United States
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Oseni TIA, Ahmed SD, Eromon PE, Fuh NF, Omoregbe IN. Physical activity, obesity and risk of atherosclerotic cardiovascular diseases among patients with hypertension and diabetes attending a teaching hospital in Edo State, Nigeria. PLoS One 2024; 19:e0307526. [PMID: 39178189 PMCID: PMC11343377 DOI: 10.1371/journal.pone.0307526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 07/07/2024] [Indexed: 08/25/2024] Open
Abstract
INTRODUCTION Preventing Atherosclerotic Cardiovascular Diseases (ASCVD) can best be achieved by promoting a healthy lifestyle through improvements in diet, physical activity, and avoidance of tobacco use and exposure to second-hand smoke. The study aimed to determine the association between physical activity as well as obesity and the risk of atherosclerotic cardiovascular diseases among patients with hypertension and diabetes attending Irrua Specialist Teaching Hospital (ISTH), Irrua, Nigeria. METHODOLOGY The research was a descriptive, cross-sectional study of 394 systematically selected consenting patients with hypertension and diabetes presenting to a teaching hospital in Irrua, Edo State, Nigeria. The Cardiovascular risk assessment was determined using the Framingham 10year Risk of General Cardiovascular Disease. Anthropometric assessment, blood pressure and blood glucose were determined. Data was collected with a semi-structured questionnaire and analysed with Stata version 16. Chi square and logistic regression was used to test for association and significance level was set at p = 0.05. RESULTS The study included 394 participants with a mean age of 54±15.47years. Respondents were mostly females (55.3%), physically inactive (70.3%), overweight (42.4%) and had a high risk (41.8%) of developing CVD in 10 years using Framingham categorisation. There was a significant association between physical activity (P<0.01; OR 2.45; CI: 1.53-3.92), obesity (P<0.01; OR 2.52; CI: 1.64-3.86) and risk of developing CVD. CONCLUSION The study found a statistically significant relationship between physical inactivity, obesity, and the risk of atherosclerotic cardiovascular diseases. Increasing physical activity levels need to be a top priority at all levels of healthcare as well as the general population.
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Affiliation(s)
| | | | | | - Neba Francis Fuh
- Department of Family Medicine, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Isaac Newton Omoregbe
- Department of Community Medicine, Irrua Specialist Teaching Hospital, Irrua, Nigeria
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Pirzada A, Cai J, Cordero C, Gallo LC, Isasi CR, Kunz J, Thyagaragan B, Wassertheil-Smoller S, Daviglus ML. Risk Factors for Cardiovascular Disease: Knowledge Gained from the Hispanic Community Health Study/Study of Latinos. Curr Atheroscler Rep 2023; 25:785-793. [PMID: 37773246 DOI: 10.1007/s11883-023-01152-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2023] [Indexed: 10/01/2023]
Abstract
PURPOSE OF REVIEW The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) has made important contributions on the prevalence of and factors associated with cardiovascular disease (CVD) risk factors among diverse Hispanic/Latino adults in the US. This article summarizes the knowledge gained thus far on major CVD risk factors from this landmark study. RECENT FINDINGS HCHS/SOL demonstrated the sizeable burdens of CVD risk in all major Hispanic/Latino groups in the US, as well as the marked variations in prevalence of hypertension, hypercholesterolemia, diabetes, obesity, and smoking by sex and background. It also identified sociodemographic, lifestyle, and sociocultural characteristics associated with risk factors. HCHS/SOL has yielded an expanding body of literature on characteristics associated with adverse CVD risk factors in this population. Long-term follow-up of this cohort will shed further light on the observed heterogeneity in CVD risk across Hispanic/Latino groups and identify specific risk/protective factors driving these variations.
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Affiliation(s)
- Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA.
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John Kunz
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bharat Thyagaragan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA
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Heintzman J, Kaufmann J, Rodriguez CJ, Lucas JA, Boston D, April-Sanders AK, Chung-Bridges K, Marino M. Statin Eligibility and Prescribing Across Racial, Ethnic, and Language Groups over the 2013 ACC/AHA Guideline Change: a Retrospective Cohort Analysis from 2009 to 2018. J Gen Intern Med 2023; 38:2970-2979. [PMID: 36977971 PMCID: PMC10593667 DOI: 10.1007/s11606-023-08139-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/03/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND It is uncertain if the American College of Cardiology/American Heart Association (ACC/AHA) 2013 guidelines for the use of HMGCoA reductase inhibitors (statins) were associated with increased statin eligibility and prescribing across underserved groups. OBJECTIVE To analyze, by race, ethnicity, and preferred language, patients with indications for and presence of a statin prescription before and after the guideline change. DESIGN Retrospective cohort study. SETTING Multistate community health center (CHC) network with linked electronic health records. PATIENTS Low-income patients aged ≥ 50 with a primary care visit in 2009-2013 or 2014-2018. MAIN MEASURES (1) Odds of each race/ethnicity/language group meeting statin eligibility via the National Cholesterol Education Program Adult Treatment Panel III Guidelines in 2009-2013 or the ACC/AHA guidelines in 2014-2018. (2) Among those eligible, odds of each group in each period with a statin prescription. KEY RESULTS In 2009-2013 (n = 109,330), non-English-preferring Latino (OR = 1.10, 95% CI = 1.03, 1.17), White (OR = 1.41, 95% CI = 1.16, 1.72), and Black patients (OR = 1.25, 95% CI = 1.11, 1.42), were more likely than English-preferring non-Hispanic Whites to meet guideline criteria for statins. Non-English-preferring Black patients, when eligible, were no more likely than non-Hispanic Whites to have statin prescriptions (OR = 1.16, 95% CI = 0.88, 1.54). In 2014-2018 (n = 319,904), English-preferring Latino patients (OR = 1.02, 95% CI = 0.96-1.07) and non-English-preferring Black patients (OR = 1.08, 95% CI = 0.98, 1.19) had similar odds of statin prescription to English-preferring non-Hispanic White patients. English-preferring Black patients were less likely (OR = 0.95, 95% CI = 0.91-0.99) to have a prescription than English-preferring non-Hispanic Whites. CONCLUSION Across the 2013 ACC/AHA guideline change in CHCs serving low-income patients, non-English-preferring patients were consistently more likely to be eligible for and have been prescribed statins. English-preferring Latino and English-preferring Black patients experienced reduced prescribing, comparatively, after the guideline change. Further work should explore the contextual factors that may influence guideline effectiveness and care equity.
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Affiliation(s)
- John Heintzman
- Oregon Health and Science University, Portland, OR, USA.
- OCHIN Inc., Portland, OR, USA.
- PRIMER Lab, Portland, OR, USA.
| | - Jorge Kaufmann
- Department of Family Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Carlos J Rodriguez
- Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, Bronx, NY, USA
| | - Jennifer A Lucas
- Department of Family Medicine, Oregon Health and Science University, Portland, OR, USA
| | | | - Ayana K April-Sanders
- Department of Biostatistics & Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Miguel Marino
- PRIMER Lab, Portland, OR, USA
- Department of Family Medicine, Oregon Health and Science University, Portland, OR, USA
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Heintzman J, Dinh D, Lucas JA, Byhoff E, Crookes DM, April-Sanders A, Kaufmann J, Boston D, Hsu A, Giebultowicz S, Marino M. Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos. Fam Med Community Health 2023; 11:e001972. [PMID: 37173093 PMCID: PMC10186452 DOI: 10.1136/fmch-2022-001972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023] Open
Abstract
INTRODUCTION Country of birth/nativity information may be crucial to understanding health equity in Latino populations and is routinely called for in health services literature assessing cardiovascular disease and risk, but is not thought to co-occur with longitudinal, objective health information such as that found in electronic health records (EHRs). METHODS We used a multistate network of community health centres to describe the extent to which country of birth is recorded in EHRs in Latinos, and to describe demographic features and cardiovascular risk profiles by country of birth. We compared geographical/demographic/clinical characteristics, from 2012 to 2020 (9 years of data), of 914 495 Latinos recorded as US-born, non-US-born and without a country of birth recorded. We also described the state in which these data were collected. RESULTS Country of birth was collected for 127 138 Latinos in 782 clinics in 22 states. Compared with those with a country of birth recorded, Latinos without this record were more often uninsured and less often preferred Spanish. While covariate adjusted prevalence of heart disease and risk factors were similar between the three groups, when results were disaggregated to five specific Latin countries (Mexico, Guatemala, Dominican Republic, Cuba, El Salvador), significant variation was observed, especially in diabetes, hypertension and hyperlipidaemia. CONCLUSIONS In a multistate network, thousands of non-US-born, US-born and patients without a country of birth recorded had differing demographic characteristics, but clinical variation was not observed until data was disaggregated into specific country of origin. State policies that enhance the safety of immigrant populations may enhance the collection of health equity related data. Rigorous and effective health equity research using Latino country of birth information paired with longitudinal healthcare information found in EHRs might have significant potential for aiding clinical and public health practice, but it depends on increased, widespread and accurate availability of this information, co-occurring with other robust demographic and clinical data nativity.
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Affiliation(s)
- John Heintzman
- Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Dang Dinh
- Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Jennifer A Lucas
- Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Elena Byhoff
- Department of Medicine, University of Massachusetts, Boston, Massachusetts, USA
| | - Danielle M Crookes
- College of Social Sciences and Humanities, Northeastern University, Boston, Massachusetts, USA
| | | | - Jorge Kaufmann
- Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Audree Hsu
- California University of Science and Medicine, Colton, California, USA
| | | | - Miguel Marino
- Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
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Herrington G, Riche DM. Part I: Interactive case: Hyperlipidemia management for special populations. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Bays HE, Kulkarni A, German C, Satish P, Iluyomade A, Dudum R, Thakkar A, Rifai MA, Mehta A, Thobani A, Al-Saiegh Y, Nelson AJ, Sheth S, Toth PP. Ten things to know about ten cardiovascular disease risk factors - 2022. Am J Prev Cardiol 2022; 10:100342. [PMID: 35517870 PMCID: PMC9061634 DOI: 10.1016/j.ajpc.2022.100342] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 03/19/2022] [Accepted: 04/01/2022] [Indexed: 12/12/2022] Open
Abstract
The American Society for Preventive Cardiology (ASPC) "Ten things to know about ten cardiovascular disease risk factors - 2022" is a summary document regarding cardiovascular disease (CVD) risk factors. This 2022 update provides summary tables of ten things to know about 10 CVD risk factors and builds upon the foundation of prior annual versions of "Ten things to know about ten cardiovascular disease risk factors" published since 2020. This 2022 version provides the perspective of ASPC members and includes updated sentinel references (i.e., applicable guidelines and select reviews) for each CVD risk factor section. The ten CVD risk factors include unhealthful dietary intake, physical inactivity, dyslipidemia, pre-diabetes/diabetes, high blood pressure, obesity, considerations of select populations (older age, race/ethnicity, and sex differences), thrombosis (with smoking as a potential contributor to thrombosis), kidney dysfunction and genetics/familial hypercholesterolemia. Other CVD risk factors may be relevant, beyond the CVD risk factors discussed here. However, it is the intent of the ASPC "Ten things to know about ten cardiovascular disease risk factors - 2022" to provide a tabular overview of things to know about ten of the most common CVD risk factors applicable to preventive cardiology and provide ready access to applicable guidelines and sentinel reviews.
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Affiliation(s)
- Harold E Bays
- Louisville Metabolic and Atherosclerosis Research Center, Clinical Associate Professor, University of Louisville School of Medicine, 3288 Illinois Avenue, Louisville KY 40213
| | - Anandita Kulkarni
- Duke Clinical Research Institute, 200 Morris Street, Durham, NC, 27701
| | - Charles German
- University of Chicago, Section of Cardiology, 5841 South Maryland Ave, MC 6080, Chicago, IL 60637
| | - Priyanka Satish
- Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA 77030
| | - Adedapo Iluyomade
- Miami Cardiac & Vascular Institute, Baptist Health South Florida, Miami, FL 33176
| | - Ramzi Dudum
- Department of Cardiovascular Medicine, Stanford University, Stanford, CA
| | - Aarti Thakkar
- Osler Medicine Program, Johns Hopkins Hospital, Baltimore MD
| | | | - Anurag Mehta
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Aneesha Thobani
- Emory University School of Medicine | Department of Cardiology, 101 Woodruff Circle, WMB 2125, Atlanta, GA 30322
| | - Yousif Al-Saiegh
- Lankenau Medical Center – Mainline Health, Department of Cardiovascular Disease, 100 E Lancaster Ave, Wynnewood, PA 19096
| | - Adam J Nelson
- Center for Cardiovascular Disease Prevention, Cardiovascular Division, Baylor Scott and White Health Heart Hospital Baylor Plano, Plano, TX 75093
| | - Samip Sheth
- Georgetown University School of Medicine, 3900 Reservoir Rd NW, Washington, DC 20007
| | - Peter P. Toth
- CGH Medical Cener, Sterling, IL 61081
- Cicarrone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD
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Hussain M, Howell JL, Peek MK, Stowe RP, Zawadzki MJ. Psychosocial stressors predict lower cardiovascular disease risk among Mexican-American adults living in a high-risk community: Findings from the Texas City Stress and Health Study. PLoS One 2021; 16:e0257940. [PMID: 34618834 PMCID: PMC8496861 DOI: 10.1371/journal.pone.0257940] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 09/14/2021] [Indexed: 12/02/2022] Open
Abstract
The objective of this study was to examine the link between systemic and general psychosocial stress and cardiovascular disease (CVD) risk in a group of U.S. Latinos as a function of acculturation and education within the blended guiding conceptual framework of the biopsychosocial model of the stress process plus the reserve capacity model. We analyzed data from self-identifying Mexican-origin adults (n = 396, 56.9% female, Mage = 58.2 years, 55.5% < 12 years of education, 79% U.S.-born) from the Texas City Stress and Health Study. We used established measures of perceived stress (general stress), neighborhood stress and discrimination (systemic stress) to capture psychosocial stress, our primary predictor. We used the atherosclerotic CVD calculator to assess 10-year CVD risk, our primary outcome. This calculator uses demographics, cholesterol, blood pressure, and history of hypertension, smoking, and diabetes to compute CVD risk in the next 10 years. We also created an acculturation index using English-language use, childhood interaction, and preservation of cultural values. Participants reported years of education. Contrary to expectations, findings showed that higher levels of all three forms of psychosocial stress, perceived stress, neighborhood stress, and perceived discrimination, predicted lower 10-year CVD risk. Acculturation and education did not moderate the effects of psychosocial stress on 10-year CVD risk. Contextualized within the biopsychosocial and reserve capacity framework, we interpret our findings such that participants who accurately reported their stressors may have turned to their social networks to handle the stress, thereby reducing their risk for CVD. We highlight the importance of examining strengths within the sociocultural environment when considering cardiovascular inequities among Latinos.
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Affiliation(s)
- Maryam Hussain
- Department of Psychological Sciences, University of California-Merced, Merced, California, United States of America
| | - Jennifer L. Howell
- Department of Psychological Sciences, University of California-Merced, Merced, California, United States of America
| | - M. Kristen Peek
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch-Galveston, Galveston, Texas, United States of America
| | - Raymond P. Stowe
- Microgen Laboratories, La Marque, Texas, United States of America
| | - Matthew J. Zawadzki
- Department of Psychological Sciences, University of California-Merced, Merced, California, United States of America
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Hernández-Muñoz JJ, Wong ES, Kamdar CR. Prevalence of statin utilization and adherence among privately insured subjects in the Commonwealth of Puerto Rico. J Manag Care Spec Pharm 2021; 27:392-398. [PMID: 33645248 PMCID: PMC10391102 DOI: 10.18553/jmcp.2021.27.3.392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND: Puerto Ricans are the Hispanic subgroup with the highest adjusted prevalence of statin-eligible patients. However, no study has described statin utilization and adherence among subjects living on the island of Puerto Rico. OBJECTIVES: To (a) estimate the prevalence of beneficiaries with diabetes aged between 40 and 75 years; (b) estimate the prevalence of statin utilization among beneficiaries with diabetes; and (c) estimate secondary adherence to statins among beneficiaries with diabetes. METHODS: With pharmacy claims data from a commercial pharmacy benefit manager (PBM) in the Commonwealth of Puerto Rico, this study used a retrospective longitudinal design to analyze all pharmacy claims generated by 115,674 beneficiaries aged between 40 and 75 years with continuous enrollment during 2018. Beneficiaries with diabetes were defined by having ≥ 2 pharmacy claims for antidiabetic agents during 2018. Statin utilization was defined by having ≥ 1 pharmacy claim for statins among beneficiaries with diabetes. The proportion of days covered (PDC) was used to measure secondary adherence to statins. Parametric and nonparametric statistics were used to describe statin utilization and adherence. RESULTS: The prevalence of beneficiaries with diabetes was 7.8%. Of the 8,975 beneficiaries with diabetes, 5,129 (57.1%) received ≥ 1 prescription for a statin. Older males with diabetes were more likely to receive prescriptions for statins. The median PDC for the 4,553 beneficiaries with ≥ 2 prescriptions for statins was 63.4%; 3,306 (72.6%) beneficiaries filled their statin prescriptions for a 30-day supply only; and 1,252 (27.5%) beneficiaries had a PDC ≥ 80%. The highest PDC (92.3%) was observed for beneficiaries who received statins for a 90-day supply only. CONCLUSIONS: This is the first study that has measured statin utilization and adherence among patients with diabetes living in Puerto Rico. The utilization and adherence to statins among privately insured beneficiaries with diabetes in Puerto Rico are suboptimal. Future studies should focus on understanding the reasons for the suboptimal use of statins and on potential interventions at the beneficiary and provider level to increase statin utilization. DISCLOSURES: No outside funding supported this study. The authors have no conflicts of interest or financial disclosures to disclose related to this study.
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Affiliation(s)
| | - Emily S Wong
- Irma L Rangel College of Pharmacy, Texas A&M University, College Station, TX
| | - Chandni R Kamdar
- Irma L Rangel College of Pharmacy, Texas A&M University, College Station, TX
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Bays HE, Taub PR, Epstein E, Michos ED, Ferraro RA, Bailey AL, Kelli HM, Ferdinand KC, Echols MR, Weintraub H, Bostrom J, Johnson HM, Hoppe KK, Shapiro MD, German CA, Virani SS, Hussain A, Ballantyne CM, Agha AM, Toth PP. Ten things to know about ten cardiovascular disease risk factors. Am J Prev Cardiol 2021; 5:100149. [PMID: 34327491 PMCID: PMC8315386 DOI: 10.1016/j.ajpc.2021.100149] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 01/11/2021] [Accepted: 01/15/2021] [Indexed: 12/12/2022] Open
Abstract
Given rapid advancements in medical science, it is often challenging for the busy clinician to remain up-to-date on the fundamental and multifaceted aspects of preventive cardiology and maintain awareness of the latest guidelines applicable to cardiovascular disease (CVD) risk factors. The "American Society for Preventive Cardiology (ASPC) Top Ten CVD Risk Factors 2021 Update" is a summary document (updated yearly) regarding CVD risk factors. This "ASPC Top Ten CVD Risk Factors 2021 Update" summary document reflects the perspective of the section authors regarding ten things to know about ten sentinel CVD risk factors. It also includes quick access to sentinel references (applicable guidelines and select reviews) for each CVD risk factor section. The ten CVD risk factors include unhealthful nutrition, physical inactivity, dyslipidemia, hyperglycemia, high blood pressure, obesity, considerations of select populations (older age, race/ethnicity, and sex differences), thrombosis/smoking, kidney dysfunction and genetics/familial hypercholesterolemia. For the individual patient, other CVD risk factors may be relevant, beyond the CVD risk factors discussed here. However, it is the intent of the "ASPC Top Ten CVD Risk Factors 2021 Update" to provide a succinct overview of things to know about ten common CVD risk factors applicable to preventive cardiology.
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Affiliation(s)
- Harold E. Bays
- Medical Director / President, Louisville Metabolic and Atherosclerosis Research Center, Louisville, KY USA
| | - Pam R. Taub
- University of California San Diego Health, San Diego, CA USA
| | | | - Erin D. Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard A. Ferraro
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alison L. Bailey
- Chief, Cardiology, Centennial Heart at Parkridge, Chattanooga, TN USA
| | - Heval M. Kelli
- Northside Hospital Cardiovascular Institute, Lawrenceville, GA USA
| | - Keith C. Ferdinand
- Professor of Medicine, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA USA
| | - Melvin R. Echols
- Assistant Professor of Medicine, Department of Medicine, Cardiology Division, Morehouse School of Medicine, New Orleans, LA USA
| | - Howard Weintraub
- NYU Grossman School of Medicine, NYU Center for the Prevention of Cardiovascular Disease, New York, NY USA
| | - John Bostrom
- NYU Grossman School of Medicine, NYU Center for the Prevention of Cardiovascular Disease, New York, NY USA
| | - Heather M. Johnson
- Christine E. Lynn Women's Health & Wellness Institute, Boca Raton Regional Hospital/Baptist Health South Florida, Clinical Affiliate Associate Professor, Florida Atlantic University, Boca Raton, FL USA
| | - Kara K. Hoppe
- Assistant Professor, Division of Maternal Fetal Medicine, Department of Obstetrics & Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, WI USA
| | - Michael D. Shapiro
- Center for Prevention of Cardiovascular Disease, Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Charles A. German
- Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Salim S. Virani
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center and Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX USA
| | - Aliza Hussain
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX USA
| | - Christie M. Ballantyne
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX USA
| | - Ali M. Agha
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX USA
| | - Peter P. Toth
- CGH Medical Center, Sterling, IL USA
- Cicarrone center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD USA
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Jarrah MI, Ababneh MJ, Tawalbeh LI, Hammoudeh AJ, Barukba HM, Othman A. Statin eligibility based on the ACC/AHA guidelines among Middle Eastern patients with diabetes mellitus presenting with acute myocardial infarction. Ann Med Surg (Lond) 2021; 61:148-154. [PMID: 33425348 PMCID: PMC7782195 DOI: 10.1016/j.amsu.2020.12.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/16/2020] [Accepted: 12/20/2020] [Indexed: 12/02/2022] Open
Abstract
Background Statin eligibility based on the American College of Cardiology/American Heart Association cholesterol guidelines among patients with diabetes admitted with first time acute myocardial infarction has not been evaluated in the Middle East. Purpose To assess statin eligibility for diabetic patients admitted with first time myocardial infarction in Jordan according to ACC/AHA guidelines. Methods Consecutive patients admitted with a first acute myocardial infarction who were not taking statins, and had their serum lipoproteins measured upon hospital admission were enrolled in the study. Statin eligibility among patients with diabetes admitted with first time myocardial infarction was determined based on the ACC/AHA guidelines. Results Of 774 patients enrolled, 292 (37.30%) had diabetes. Compared with non-diabetic patients, those with diabetes were females, older, more hypertension, more hypercholesterolemia, more triglycerides, more diastolic blood pressure, less smokers and less low density lipoprotein. Among patients with diabetes, 242 diabetic patients (82.9%) were statin eligible, including 20 (6.90%) for having high serum levels of low density lipoprotein cholesterol (LDL-C) >190 mg/dL, and 222 (76%) for being aged 40–75 years with LDL-C 70–189 mg/dL. No patient had a calculated atherosclerotic cardiovascular risk score ≥7.5%. On the other hand, 393 non-diabetic patients (81.3%) were statin eligible, including 41 (8.50%) for having high serum levels of low density lipoprotein cholesterol (LDL-C) >190 mg/dL, and 351 (72.80%) for being aged 40–75 years with LDL-C 70–189 mg/dL. Conclusions Based on the ACC/AHA guidelines, the majority of patients with diabetes admitted with first acute myocardial infarction would have been eligible for statin treatment if they have LDL-c >190 mg/dl or aged 40–75 years old and they have their LDL 70–189 mg/gl. More efforts should be taken for patients who are female, older than 50 years, hypertensive, elevated diastolic blood pressure have hypercholesterolemia, and elevated triglycerides because of their significant association with diabetes. 83% of patients with diabetes mellitus presenting with MI, were statin eligible. 393 non-diabetic patients (81.3%) were statin eligible in the current sample. No diabetic or non-diabetic patients has a 10 year ASCVR score between 5 and 7.4 Statin was eligible in the same proportion among diabetic and diabetic patients.
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Affiliation(s)
- Mohamad I Jarrah
- Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Muhannad J Ababneh
- Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Loai Issa Tawalbeh
- Faculty of Nursing, Al al-Bayt University Al-Mafraq, P.O. Box: 130049, 25113, Jordan
| | - Ayman J Hammoudeh
- Department of Cardiology, and Coronary Computed Tomography Section, Istishari Hospital, Amman, Jordan
| | - Hanan M Barukba
- Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Ahmad Othman
- Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
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Chamberlain AM, Gong Y, Shaw KM, Bian J, Song WL, Linton MF, Fonseca V, Price-Haywood E, Guhl E, King JB, Shah RU, Puro J, Shenkman E, Pawloski PA, Margolis KL, Hernandez AF, Cooper-DeHoff RM. PCSK9 Inhibitor Use in the Real World: Data From the National Patient-Centered Research Network. J Am Heart Assoc 2020; 8:e011246. [PMID: 31020929 PMCID: PMC6512121 DOI: 10.1161/jaha.118.011246] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors effectively lower LDL (low‐density lipoprotein) cholesterol and have been shown to reduce cardiovascular outcomes in high‐risk patients. We used real‐world electronic health record data to characterize use of PCSK9 inhibitors, in addition to standard therapies, according to cardiovascular risk status. Methods and Results Data were obtained from 18 health systems with data marts within the National Patient‐Centered Clinical Research Network (PCORnet) using a common data model. Participating sites identified >17.5 million adults, of whom 3.6 million met study criteria. Patients were categorized into 3 groups: (1) dyslipidemia, (2) untreated LDL ≥130 mg/dL, and (3) coronary artery disease or coronary heart disease. Demographics, comorbidities, estimated 10‐year atherosclerotic cardiovascular disease risk, and lipid‐lowering pharmacotherapies were summarized for each group. Participants’ average age was 62 years, 50% were female, and 11% were black. LDL cholesterol ranged from 85 to 151 mg/dL. Among patients in groups 1 and 3, 54% received standard lipid‐lowering therapies and a PCSK9 inhibitor was prescribed in <1%. PCSK9 inhibitor prescribing was greatest for patients with coronary artery disease or coronary heart disease and, although prescribing increased during the study period, overall PCSK9 inhibitor prescribing was low. Conclusions We successfully used electronic health record data from 18 PCORnet data marts to identify >3.6 million patients meeting criteria for 3 patient groups. Approximately half of patients had been prescribed lipid‐lowering medication, but <1% were prescribed PCSK9 inhibitors. PCSK9 inhibitor prescribing increased over time for patients with coronary artery disease or coronary heart disease but not for those with dyslipidemia.
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Affiliation(s)
| | - Yan Gong
- 2 College of Pharmacy University of Florida Gainesville FL
| | | | - Jiang Bian
- 3 College of Medicine University of Florida Gainesville FL
| | - Wen-Liang Song
- 5 Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - MacRae F Linton
- 5 Department of Medicine Vanderbilt University Medical Center Nashville TN
| | | | | | | | - Jordan B King
- 9 Kaiser Permanente Aurora CO.,10 University of Utah Salt Lake City UT
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13
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Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation 2020; 141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Citation(s) in RCA: 4904] [Impact Index Per Article: 1226.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals. RESULTS Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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14
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Citation(s) in RCA: 5387] [Impact Index Per Article: 1077.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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15
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1194] [Impact Index Per Article: 238.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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16
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 139:e1046-e1081. [PMID: 30565953 DOI: 10.1161/cir.0000000000000624] [Citation(s) in RCA: 254] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 73:3168-3209. [PMID: 30423391 DOI: 10.1016/j.jacc.2018.11.002] [Citation(s) in RCA: 1013] [Impact Index Per Article: 168.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Gu A, Kamat S, Argulian E. Trends and disparities in statin use and low-density lipoprotein cholesterol levels among US patients with diabetes, 1999-2014. Diabetes Res Clin Pract 2018; 139:1-10. [PMID: 29476887 DOI: 10.1016/j.diabres.2018.02.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 02/04/2018] [Accepted: 02/13/2018] [Indexed: 01/02/2023]
Abstract
AIMS The 2013 American College of Cardiology/American Heart Association Guideline defined patients with diabetes aged 40-75 years as a major statin benefit group. We explored the temporal trends and disparities in statin utilization and LDL-C levels among patients with diabetes aged 40-75 years. METHODS A total of 4860 patients from the National Health and Nutrition Examination Survey 1999 to 2014 were included in this study. Differences in statin use and LDL-C levels were explored by patient characteristics. RESULTS From 1999-2002 to 2011-2014, the prevalence of statin use increased from 26.2% to 49.5% (Ptrend < 0.001). This was accompanied by a continuous decrease in the mean LDL-C level (from 115.8 mg/dL to 103.3 mg/dL, Ptrend < 0.001). The use of guideline-defined high-potency statin medications (atorvastatin and rosuvastatin) remained largely unchanged (from 14.0% to 17.9%, Ptrend = 0.55). Statin utilization increased with age. Women and blacks were 10% and 16% less likely to receive statin treatment compared with men and whites, respectively. In comparison with other statin treatment, use of atorvastatin or rosuvastatin was associated with average LDL-C reduction of 8.0 mg/dL. LDL-C levels were significantly higher among women and black patients. After adjustment for potential confounders, age and Hispanic-white differences in statin use and LDL-C levels were substantially attenuated. CONCLUSIONS Despite a steady increase in statin use during the 16-year study period, statin therapy remains underutilized in certain subgroups of patients. Confounding factors related to healthcare utilization account for some of the disparities in statin use and LDL-C levels.
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Affiliation(s)
- Anna Gu
- St. John's University, Queens, NY, United States.
| | - Shweta Kamat
- St. John's University, Queens, NY, United States
| | - Edgar Argulian
- Mt Sinai St. Luke's Hospital, New York, NY, United States.
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