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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2700] [Impact Index Per Article: 1350.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports 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 2022 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 and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the 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, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Hauguel-Moreau M, Aïdan V, Hergault H, Beauchet A, Pépin M, Prati G, Pillière R, Ouadahi M, Josseran L, Rodon C, Rabès JP, Charron P, Dubourg O, Massy Z, Mansencal N. Prevalence of familial hypercholesterolaemia in patients presenting with premature acute coronary syndrome. Arch Cardiovasc Dis 2022; 115:87-95. [DOI: 10.1016/j.acvd.2021.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/09/2021] [Accepted: 11/15/2021] [Indexed: 11/02/2022]
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Han X, Fox S, Chu M, McCombs J. Secondary Prevention Using Cholesterol-Lowering Medications in Patients with Prior Atherosclerotic Cardiovascular Disease Events: A Retrospective Cohort Analysis. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2022; 9:11-19. [PMID: 35111866 PMCID: PMC8770090 DOI: 10.36469/001c.28934] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/28/2021] [Indexed: 06/14/2023]
Abstract
Background: Secondary prevention with lipid-lowering medications in patients with atherosclerotic cardiovascular disease (ASCVD) is known to reduce the risk of clinical events and death. Current guidelines codify recommendations for implementing secondary prevention in appropriate patients. However, in real-world practice, secondary prevention is frequently initiated only after the patient experiences a cardiovascular-related hospitalization. The impact of these delays is not well known. Objectives: To estimate the effects of delaying treatment on the risk of cardiovascular-related hospitalization and on costs for patients who meet the criteria for secondary prevention as specified in the 2013 American College of Cardiology/American Heart Association (ACC/AHA) Guidelines for Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults. Methods: This is a retrospective cohort analysis using Humana data. Eligible patients were categorized by treatment group: (1) patients who initiated treatment before an ASCVD-related hospitalization and (2) patients who either did not initiate treatment until after an ASCVD hospitalization or never initiated treatment. The associations between the timely initiation of cholesterol-lowering medications for secondary prevention and (1) the risk for an ASCVD hospitalization and (2) health-care costs over one year, were estimated using multivariate regressions. Results: A total of 272 899 secondary prevention patients were identified who met study selection criteria. Early treatment was associated with significant reductions in the risk of an ASCVD hospitalization at any time following the identification of the patient's eligibility for secondary prevention (by 33% compared to those treated late or never, P<.0001), but was significantly associated with higher total cost over the first post-index year (by US $509, P<.001). Patients whose low-density lipoprotein cholesterol (LDL-C) levels were >130 mg/dL experienced higher ASCVD hospitalization risks, and also larger risk reductions if treated before an ASCVD hospitalization compared to patients with lower LDL-C levels who were treated late or never treated. Conclusions: More widespread implementation of the treatment policies specified in the 2013 ACC/AHA Guidelines for secondary prevention should significantly reduce cardiovascular disease hospitalizations and reduce costs.
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Affiliation(s)
- Xue Han
- Department of Pharmaceutical and Health Economics, School of Pharmacy, Leonard Schaeffer Center for Health Policy and Economics, University of Southern California
| | - Steven Fox
- Department of Pharmaceutical and Health Economics, School of Pharmacy, Leonard Schaeffer Center for Health Policy and Economics, University of Southern California
| | - Michelle Chu
- Titus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California
| | - Jeff McCombs
- Department of Pharmaceutical and Health Economics, School of Pharmacy, Leonard Schaeffer Center for Health Policy and Economics, University of Southern California
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Bradley CK, Khera A, Navar AM. Underdiagnosis of familial hypercholesterolaemia: innovation is overdue. Eur Heart J 2022; 43:3255-3257. [PMID: 34977918 DOI: 10.1093/eurheartj/ehab869] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Corey K Bradley
- Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Amit Khera
- Department of Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ann Marie Navar
- Department of Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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Zhou D, Liu X, Lo K, Huang Y, Feng Y. The effect of total cholesterol/high-density lipoprotein cholesterol ratio on mortality risk in the general population. Front Endocrinol (Lausanne) 2022; 13:1012383. [PMID: 36589799 PMCID: PMC9797665 DOI: 10.3389/fendo.2022.1012383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/24/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The relationship between the total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio and all-cause and cardiovascular mortality has not been elucidated. Herein, we intend to probe the effect of the TC/HDL-C ratio on all-cause and cardiovascular mortality in the general population. METHODS From the 1999-2014 National Health and Nutrition Examination Surveys (NHANES), a total of 32,405 health participants aged ≥18 years were included. The TC/HDL-C levels were divided into five groups: Q1: <2.86, Q2: 2.86-3.46, Q3: 3.46-4.12, Q4: 4.12-5.07, Q5: >5.07. Multivariate Cox regression models were used to explore the relationship between the TC/HDL-C ratio and cardiovascular and all-cause mortality. Two-piecewise linear regression models and restricted cubic spline regression were used to explore nonlinear and irregularly shaped relationships. Kaplan-Meier survival curve and subgroup analyses were conducted. RESULTS The population comprised 15,675 men and 16,730 women with a mean age of 43 years. During a median follow-up of 98 months (8.1 years), 2,859 mortality cases were recorded. The TC/HDL-C ratio and all-cause mortality showed a nonlinear association after adjusting for confounding variables in the restricted cubic spline analysis. Hazard ratios (HRs) of all-cause mortality were particularly positively related to the level of TC/HDL-C ratio in the higher range >5.07 and in the lower range <2.86 (HR 1.26; 95% CI 1.10, 1.45; HR 1.18; 95% CI 1.00, 1.38, respectively), although the HRs of cardiovascular disease mortality showed no difference among the five groups. In the two-piecewise linear regression model, a TC/HDL-C ratio range of ≥4.22 was positively correlated with cardiovascular mortality (HR 1.13; 95% CI 1.02, 1.25). In the subgroup analysis, a nonlinear association between TC/HDL-C and all-cause mortality was found in those aged <65 years, men, and the no lipid drug treatment population. CONCLUSION A nonlinear association between the TC/HDL-C ratio and all-cause mortality was found, indicating that a too-low or too-high TC/HDL-C ratio might increase all-cause mortality. However, for cardiovascular mortality, it does not seem so. The cutoff value was 4.22. The individuals had higher cardiovascular mortality with a TC/HDL-C ratio >4.22.
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Affiliation(s)
- Dan Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaocong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Epidemiology, Centre for Global Cardio-Metabolic Health, Brown University, Providence, RI, United States
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Yuqing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yingqing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Yingqing Feng,
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Predictors of non-communicable diseases screening behaviours among adult population in Brunei Darussalam: a retrospective study. J Public Health (Oxf) 2021. [DOI: 10.1007/s10389-020-01240-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Björnsson E, Thorgeirsson G, Helgadóttir A, Thorleifsson G, Sveinbjörnsson G, Kristmundsdóttir S, Jónsson H, Jónasdóttir A, Jónasdóttir Á, Sigurðsson Á, Guðnason T, Ólafsson Í, Sigurðsson EL, Sigurðardóttir Ó, Viðarsson B, Baldvinsson M, Bjarnason R, Danielsen R, Matthíasson SE, Thórarinsson BL, Grétarsdóttir S, Steinthórsdóttir V, Halldórsson BV, Andersen K, Arnar DO, Jónsdóttir I, Guðbjartsson DF, Hólm H, Thorsteinsdóttir U, Sulem P, Stefánsson K. Large-Scale Screening for Monogenic and Clinically Defined Familial Hypercholesterolemia in Iceland. Arterioscler Thromb Vasc Biol 2021; 41:2616-2628. [PMID: 34407635 PMCID: PMC8454500 DOI: 10.1161/atvbaha.120.315904] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 08/02/2021] [Indexed: 01/07/2023]
Abstract
Objective: Familial hypercholesterolemia (FH) is traditionally defined as a monogenic disease characterized by severely elevated LDL-C (low-density lipoprotein cholesterol) levels. In practice, FH is commonly a clinical diagnosis without confirmation of a causative mutation. In this study, we sought to characterize and compare monogenic and clinically defined FH in a large sample of Icelanders. Approach and Results: We whole-genome sequenced 49 962 Icelanders and imputed the identified variants into an overall sample of 166 281 chip-genotyped Icelanders. We identified 20 FH mutations in LDLR, APOB, and PCSK9 with combined prevalence of 1 in 836. Monogenic FH was associated with severely elevated LDL-C levels and increased risk of premature coronary disease, aortic valve stenosis, and high burden of coronary atherosclerosis. We used a modified version of the Dutch Lipid Clinic Network criteria to screen for the clinical FH phenotype among living adult participants (N=79 058). Clinical FH was found in 2.2% of participants, of whom only 5.2% had monogenic FH. Mutation-negative clinical FH has a strong polygenic basis. Both individuals with monogenic FH and individuals with mutation-negative clinical FH were markedly undertreated with cholesterol-lowering medications and only a minority attained an LDL-C target of <2.6 mmol/L (<100 mg/dL; 11.0% and 24.9%, respectively) or <1.8 mmol/L (<70 mg/dL; 0.0% and 5.2%, respectively), as recommended for primary prevention by European Society of Cardiology/European Atherosclerosis Society cholesterol guidelines. Conclusions: Clinically defined FH is a relatively common phenotype that is explained by monogenic FH in only a minority of cases. Both monogenic and clinical FH confer high cardiovascular risk but are markedly undertreated.
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Affiliation(s)
- Eythór Björnsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Department of Internal Medicine (E.B.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Guðmundur Thorgeirsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Anna Helgadóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Guðmar Thorleifsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Garðar Sveinbjörnsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Snaedís Kristmundsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Hákon Jónsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Aðalbjörg Jónasdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Áslaug Jónasdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Ásgeir Sigurðsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | | | - Ísleifur Ólafsson
- Department of Clinical Biochemistry (I.O.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Emil L. Sigurðsson
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Development Centre for the Primary Care, Reykjavík, Iceland (E.L.S.)
| | | | - Brynjar Viðarsson
- Department of Hematology (B.V.), Landspítali-The National University Hospital of Iceland, Reykjavík
- The Laboratory in Mjódd, Reykjavík, Iceland (B.V.)
| | | | - Ragnar Bjarnason
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Children’s Medical Center (R.B.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Ragnar Danielsen
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | | | - Björn L. Thórarinsson
- Department of Neurology (B.L.T.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Sólveig Grétarsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Valgerður Steinthórsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Bjarni V. Halldórsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Karl Andersen
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Davíð O. Arnar
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
- Division of Cardiology, Department of Internal Medicine (G. Thorgeirsson, R.D., K.A., D.O.A.), Landspítali-The National University Hospital of Iceland, Reykjavík
| | - Ingileif Jónsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
| | - Daníel F. Guðbjartsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- School of Engineering and Natural Sciences, University of Iceland, Reykjavík (D.F.G.)
| | - Hilma Hólm
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Unnur Thorsteinsdóttir
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
| | - Patrick Sulem
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
| | - Kári Stefánsson
- deCODE genetics/Amgen, Inc, Reykjavík, Iceland (E.B., G. Thorgeirsson, A.H., G. Thorleifsson, G.S., S.K., H.J., Aðalbjörg Jónasdóttir, Áslaug Jónasdóttir, A.S., S.G., V.S., B.V.H., D.O.A., I.J., D.F.G., H.H., U.T., P.S., K.S.)
- Faculty of Medicine, University of Iceland, Reykjavík (E.B., E.L.S., R.B., K.A., D.O.A., I.J., U.T., K.S.)
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Eid WE, Sapp EH, Flerlage E, Nolan JR. Lower-Intensity Statins Contributing to Gaps in Care for Patients With Primary Severe Hypercholesterolemia. J Am Heart Assoc 2021; 10:e020800. [PMID: 34465130 PMCID: PMC8649304 DOI: 10.1161/jaha.121.020800] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/21/2021] [Indexed: 12/30/2022]
Abstract
Background Although severe hypercholesterolemia confers a 5-fold increased long-term risk for coronary artery disease, treatment guidelines may not be fully implemented, leading to underdiagnosis and suboptimal treatment. To further understand the clinical features and gaps in treatment approaches, we analyzed electronic medical record data from a midwestern US multidisciplinary healthcare system, between 2009 and 2020. Methods and Results We retrospectively assessed the prevalence, clinical presentation, and treatment characteristics of individuals currently treated with statin therapy having a low-density lipoprotein cholesterol (LDL-C) value that is either (1) an actual maximum electronic medical record-documented LDL-C ≥190 mg/dL (group 1, n=7542) or (2) an estimated pretreatment LDL-C ≥190 mg/dL (group 2, n=7710). Comorbidities and prescribed lipid-lowering therapies were assessed. Statistical analyses identified differences among individuals within and between groups. Of records analyzed (n=266 282), 7% met the definition for primary severe hypercholesterolemia. Group 1 had more comorbidities than group 2. More individuals in both groups were treated by primary care providers (49.8%-53.0%, 32.6%-36.4%) than by specialty providers (4.1%-5.5%, 2.1%-3.3%). High-intensity lipid-lowering therapy was prescribed less frequently for group 2 than for group 1, but moderate-intensity statins were prescribed more frequently for group 2 (65%) than for group 1 (52%). Conclusions Two percent of patients in our study population being treated with low- or moderate-intensity statins have an estimated LDL-C ≥190 mg/dL (indicating severe hypercholesterolemia), but receive less aggressive treatment than patients with a maximum measured LDL-C ≥190 mg/dL.
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Affiliation(s)
- Wael E. Eid
- St. Elizabeth Physicians Regional Diabetes CenterCovingtonKY
- University of Kentucky College of MedicineLexingtonKY
- University of South Dakota Sanford School of MedicineSioux FallsSD
- Faculty of MedicineUniversity of AlexandriaAlexandriaEgypt
| | | | - Elijah Flerlage
- Department of Mathematics and StatisticsNorthern Kentucky UniversityHighland HeightsKY
| | - Joseph R. Nolan
- Department of Mathematics and StatisticsNorthern Kentucky UniversityHighland HeightsKY
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Syed T, Siddiqui MS. Atherogenic Dyslipidemia After Liver Transplantation: Mechanisms and Clinical Implications. Liver Transpl 2021; 27:1326-1333. [PMID: 33837670 DOI: 10.1002/lt.26069] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/17/2021] [Accepted: 04/01/2021] [Indexed: 12/21/2022]
Abstract
Cardiovascular disease (CVD), particularly atherosclerosis-associated CVD, is a major cause of long-term mortality after liver transplantation (LT). The liver is central in lipid homeostasis, and changes associated with insulin resistance, weight gain, adipose tissue inflammation, and development of nonalcoholic fatty liver disease (NAFLD) after LT promote atherogenesis. These factors synergistically alter lipid homeostasis, thereby leading to the production of proatherogenic lipoproteins, which contribute to the heighted risk of CVD-associated events observed in LT recipients. Although the exact mechanism promoting this shift of a proatherogenic lipoprotein profile is currently not known, the choice of immunosuppression and preexisting metabolic risk factors (ie, NAFLD) are likely contributors. This shift in proatherogenic lipoprotein subparticles presents clinical challenges as the traditional lipid profile employed in clinical practice may not fully capture this atherogenic risk. This review focuses on lipoprotein metabolism and atherogenesis in LT recipients.
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Affiliation(s)
- Taseen Syed
- Department of Gastroenterology, Nutrition and Transplant Hepatology, Virginia Commonwealth University, Richmond, VA.,Department of Gastroenterology, Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA
| | - Mohammad S Siddiqui
- Department of Gastroenterology, Nutrition and Transplant Hepatology, Virginia Commonwealth University, Richmond, VA.,Hume-Lee Transplant Center, Virginia Commonwealth University, Richmond, VA
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60
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Population-wide impacts of aspirin, statins, and metformin use on prostate cancer incidence and mortality. Sci Rep 2021; 11:16171. [PMID: 34373584 PMCID: PMC8352896 DOI: 10.1038/s41598-021-95764-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 07/29/2021] [Indexed: 12/24/2022] Open
Abstract
We evaluated the association between aspirin, statins, and metformin use and prostate cancer (PC) incidence and mortality using a large population-based dataset. 388,760 men who participated in national health screening program in Korea during 2002–2003 were observed from 2004 to 2013. Hazard ratios of aspirin, statins, and metformin use for PC incidence and PC mortality were calculated with adjustment for simultaneous drug use. Cumulative use of each drug was inserted as time-dependent variable with 2-year time windows. Aspirin use ≥ 1.5 year (per 2-year) was associated with borderline decrease in PC mortality when compared to non-users (adjusted hazard ratio [aHR] 0.71, 95% confidence interval [CI] 0.50–1.02). Statins use was not associated with either PC incidence or PC mortality. Metformin ever-use was associated with decreased PC incidence compared with non-diabetics (aHR 0.86, 95% CI 0.77–0.96). Diabetics who were not using metformin or using low cumulative doses had higher PC mortality than non-diabetics (aHR 2.01, 95% CI 1.44–2.81, and aHR 1.70, 95% CI 1.07–2.69, respectively). However, subjects with higher cumulative doses of metformin did not show increased PC mortality. In conclusion, metformin use was associated with lower PC incidence. Use of aspirin and that of metformin among diabetic patients were associated with lower PC mortality.
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61
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Alfaifi AA, Lai L, Althemery AU. Barriers in utilizing lipid-lowering agents in non-institutionalized population in the U.S.: Application of a theoretical framework. PLoS One 2021; 16:e0255729. [PMID: 34352007 PMCID: PMC8341603 DOI: 10.1371/journal.pone.0255729] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 07/22/2021] [Indexed: 11/18/2022] Open
Abstract
Cardiovascular diseases are a major cause of death globally. Epidemiological evidence has linked elevated levels of blood cholesterol with the risk of coronary heart disease. However, lipid-lowering agents, despite their importance for primary prevention, are significantly underused in the United States. The objective of this study was to explore associations among socioeconomic factors and the use of antihyperlipidemic agents in 2018 in U.S. patients with hyperlipidemia by applying a theoretical framework. Data from the 2018 Medical Expenditure Panel Survey were used to identify the population of non-institutionalized U.S. civilians diagnosed with hyperlipidemia. This cross sectional study applied the Andersen Behavioral Model to identify patients' predisposing, enabling, and need factors. Approximately 43 million non-institutionalized adults were diagnosed with hyperlipidemia. With the exception of gender and race, predisposing factors indicated significant differences between patients who used antihyperlipidemic agents and those who did not. The relation between income level and use of antihyperlipidemic agents was significant: X2 (4, N = 3,781) = 7.09, p <.001. Hispanic patients were found to be less likely to receive treatment (OR: 0.62; 95% CI: 0.43-0.88), as observed using a logistic model, with controls for predisposing, enabling, and need factors. Patients without health insurance were less likely to use lipid-lowering agents (OR: 0.33; 95% CI: 0.14-0.77). The present study offers essential data for prioritizing interventions by health policy makers by identifying barriers in utilizing hyperlipidemia therapy. Non-adherence to treatment may lead to severe consequences and increase the frequency of fatal cardiac events in the near future.
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Affiliation(s)
- Abdullah A. Alfaifi
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia
- * E-mail:
| | - Leanne Lai
- Department of Sociobehavioral and Administrative Pharmacy, College of Pharmacy, NOVA Southeastern University, Fort Lauderdale, Florida, United States of America
| | - Abdullah U. Althemery
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia
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62
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Deibel A, Deng L, Cheng CY, Schlander M, Ran T, Lang B, Krupka N, Beerenwinkel N, Rogler G, Wiest R, Sonnenberg A, Poleszczuk J, Misselwitz B. Evaluating key characteristics of ideal colorectal cancer screening modalities: the microsimulation approach. Gastrointest Endosc 2021; 94:379-390.e7. [PMID: 33600806 DOI: 10.1016/j.gie.2021.02.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/09/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS Screening for colorectal cancer (CRC) can effectively reduce CRC incidence and mortality. Besides colonoscopy, tests for the detection of biomarkers in stool, blood, or serum, including the fecal immunochemical test (FIT), ColoGuard, Epi proColon, and PolypDx, have recently been advanced. We aimed to identify the characteristics of theoretic, highly efficient screening tests and calculated the effectiveness and cost effectiveness of available screening tests. METHODS Using the microsimulation-based colon modeling open-source tool (CMOST), we simulated 142,501 theoretic screening tests with variable assumptions for adenoma and carcinoma sensitivity, specificity, test frequency, and adherence, and we identified highly efficient tests outperforming colonoscopy. For available screening tests, we simulated 10 replicates of a virtual population of 2 million individuals, using epidemiologic characteristics and costs assumptions of the United States. RESULTS Highly efficient theoretic screening tests were characterized by high sensitivity for advanced adenoma and carcinoma and high patient adherence. All simulated available screening tests were effective at 100% adherence to screening and at expected real-world adherence rates. All tests were cost effective below the threshold of 100,000 U.S. dollars per life year gained. With perfect adherence, FIT was the most effective and cost-efficient intervention, whereas Epi proColon was the most effective at expected real-world adherence rates. In our sensitivity analysis, assumptions for patient adherence had the strongest impact on effectiveness of screening. CONCLUSIONS Our microsimulation study identified characteristics of highly efficient theoretic screening tests and confirmed the effectiveness and cost-effectiveness of colonoscopy and available urine-, blood-, and stool-based tests. Better patient adherence results in superior effectiveness for CRC prevention in the whole population.
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Affiliation(s)
- Ansgar Deibel
- Department of Gastroenterology and Hepatology, University Hospital Zurich, Zurich University, Zurich, Switzerland
| | - Lu Deng
- Metabolomic Technologies, Inc
| | - Chih-Yuan Cheng
- Division of Health Economics, German Cancer Research Center, Heidelberg, Germany; Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Schlander
- Division of Health Economics, German Cancer Research Center, Heidelberg, Germany; Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Tao Ran
- Division of Health Economics, German Cancer Research Center, Heidelberg, Germany
| | - Brian Lang
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Niklas Krupka
- Department of Visceral Surgery and Medicine, Inselspital Bern and Bern University, Bern, Switzerland
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Gerhard Rogler
- Department of Gastroenterology and Hepatology, University Hospital Zurich, Zurich University, Zurich, Switzerland
| | - Reiner Wiest
- Department of Visceral Surgery and Medicine, Inselspital Bern and Bern University, Bern, Switzerland
| | | | - Jan Poleszczuk
- Department of Computational Oncology, Maria Skłodowska-Curie Institute-Oncology Center, Warsaw, Poland; Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
| | - Benjamin Misselwitz
- Department of Visceral Surgery and Medicine, Inselspital Bern and Bern University, Bern, Switzerland
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Cheng Q, Liu XC, Chen CL, Huang YQ, Feng YQ, Chen JY. The U-Shaped Association of Non-High-Density Lipoprotein Cholesterol Levels With All-Cause and Cardiovascular Mortality Among Patients With Hypertension. Front Cardiovasc Med 2021; 8:707701. [PMID: 34336961 PMCID: PMC8316599 DOI: 10.3389/fcvm.2021.707701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/06/2023] Open
Abstract
Background: Non-high-density lipoprotein cholesterol (non-HDL-C) is a valuable indicator in routine blood lipid tests, but the associations of non-HDL-C with mortality in hypertensive population still remain uncertain. Methods: In the National Health and Nutrition Examination Surveys from 1999 to 2014, participants having hypertension were included and grouped by non-HDL-C levels (<130, 130–159, 160–189, 190–219, and ≥220 mg/dl). Multivariate Cox regression was conducted for calculation of hazard ratios (HR) and 95% confidence interval (CI). To reveal the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline, linear regression, and subgroup analysis were also applied. Results: A total of 12,169 participants (47.52% males, mean age 57.27 ± 15.79 years) were included. During average follow-up of 92.5 months, 1,946 (15.99%) all-cause deaths and 422 (3.47%) cardiovascular deaths occurred. After adjusting for confounders, the association of non-HDL-C with mortality was detected as U-shaped. Threshold values were observed at 158 mg/dl for all-cause mortality and 190 mg/dl as to cardiovascular mortality. Below the threshold, every 10 mg/dl increment in non-HDL-C attributed to relatively low all-cause mortality significantly (HR = 0.94, 95% CI: 0.92–0.96). Above the threshold, non-HDL-C has significant positive associations with both all-cause (HR = 1.03, 95% CI: 1.01–1.05) and cardiovascular mortality (HR = 1.09, 95% CI: 1.05–1.14). For subgroups analysis, similar results were found among participants age <65 years old, non-white population, those were not taking lipid-lowering drugs, and subjects with body mass index (BMI) ≥25 kg/m2. Conclusion: The U-shaped association was detected between non-HDL-C and mortality among hypertensive population.
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Affiliation(s)
- Qi Cheng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying-Qing Feng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ji-Yan Chen
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Cascade Screening and Treatment Initiation in Young Adults with Heterozygous Familial Hypercholesterolemia. J Clin Med 2021; 10:jcm10143090. [PMID: 34300259 PMCID: PMC8306062 DOI: 10.3390/jcm10143090] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/08/2021] [Accepted: 07/11/2021] [Indexed: 11/17/2022] Open
Abstract
Heterozygous familial hypercholesterolemia (HeFH) creates elevated low-density lipoprotein cholesterol (LDL-C), causing premature atherosclerotic cardiovascular disease (ASCVD). Guidelines recommend cascade screening relatives and starting statin therapy at 8–10 years old, but adherence to these recommendations is low. Our purpose was to measure self-reported physician practices for cascade screening and treatment initiation for HeFH using a survey of 500 primary care physicians and 500 cardiologists: 54% “always” cascade screen relatives of an individual with FH, but 68% would screen individuals with “strong family history of high cholesterol or premature ASCVD”, and 74% would screen a child of a patient with HeFH. The most likely age respondents would start statins was 18–29 years, with few willing to prescribe to a pediatric male (17%) or female (14%). Physicians who reported previously diagnosing a patient with HeFH were more likely to prescribe to a pediatric patient with HeFH, either male (OR = 1.34, 95% CI = 0.99–1.81) or female (OR = 1.31, 95% CI = 0.99–1.72). Many physicians do not cascade screen and are less likely to screen individuals with family history of known HeFH compared to “high cholesterol or premature ASCVD”. Most expressed willingness to screen pediatric patients, but few would start treatment at recommended ages. Further education is needed to improve diagnosis and treatment of HeFH.
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Tada H, Hori M, Matsuki K, Ogura M, Nohara A, Kawashiri MA, Harada-Shiba M. Achilles Tendon Thickness Assessed by X-ray Predicting a Pathogenic Mutation in Familial Hypercholesterolemia Gene. J Atheroscler Thromb 2021; 29:816-824. [PMID: 34193720 PMCID: PMC9174093 DOI: 10.5551/jat.62869] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
AIM The 2017 Japan Atherosclerosis Society (JAS) familial hypercholesterolemia (FH) criteria adopt a cut-off value of ≥ 9 mm of Achilles tendon thickness (ATT) detected by X-ray as one of the three key items. This threshold was determined based on an old data evaluating the ATT of 36 non-FH individuals that was published in 1977. Although the specificity of these clinical criteria is extremely high due to a strict threshold, there are a significant number of patients with FH whose ATT <9 mm. We aimed to determine a cut-off value of ATT detected by X-ray to differentiate FH and non-FH based on genetic diagnosis. METHODS The individuals (male/female=486/501) with full assessments of genetic analyses for FH-genes (LDLR and PCSK9), serum lipids, and ATT detected by X-ray at the Kanazawa University Hospital and National Cerebral and Cardiovascular Center Research Institute were included in this study. Receiver operating characteristic (ROC) analyses were conducted to determine a better cut-off value of ATT that predicts the pathogenic mutation of FH. RESULTS The ROC analyses revealed that the best cut-off values of ATT are 7.6 mm for male and 7.0 mm for female, with the sensitivities/specificities of 0.83/0.83 for male and 0.86/0.85 for female, respectively. If the thresholds of ATT of 8.0/7.5 mm and 7.5/7.0 mm were applied to the diagnosis of male/female FH, the sensitivities/specificities predicting the pathogenic mutation of FH by the 2017 JAS FH clinical criteria would be 0.82/0.90 and 0.85/0.88, respectively. CONCLUSIONS These results suggest that the cut-off value of ATT detected by X-ray is obviously lower than 9.0 mm, which was adopted by the 2017 JAS FH clinical criteria.
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Affiliation(s)
- Hayato Tada
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences
| | - Mika Hori
- Department of Endocrinology, Research Institute of Environmental Medicine, Nagoya University.,Department of Endocrinology, Nagoya University Graduate School of Medicine.,Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular Center Research Institute
| | - Kota Matsuki
- Department of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine
| | - Masatsune Ogura
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular Center Research Institute
| | - Atsushi Nohara
- Department of Genetics, Ishikawa Prefectural Central Hospital
| | - Masa-Aki Kawashiri
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences
| | - Mariko Harada-Shiba
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular Center Research Institute
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Mohajer B, Kwee RM, Guermazi A, Berenbaum F, Wan M, Zhen G, Cao X, Haugen IK, Demehri S. Metabolic Syndrome and Osteoarthritis Distribution in the Hand Joints: A Propensity Score Matching Analysis From the Osteoarthritis Initiative. J Rheumatol 2021; 48:1608-1615. [PMID: 34329188 DOI: 10.3899/jrheum.210189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To investigate the metabolic syndrome (MetS) association with radiographic and symptomatic hand osteoarthritis (HOA). METHODS Using 1:2 propensity score matching for relevant confounders, we included 2509 participants (896 MetS positive and 1613 MetS negative) from the Osteoarthritis Initiative dataset. MetS and its components, according to the International Diabetes Federation criteria, were extracted from baseline data, and included hypertension, abdominal obesity, dyslipidemia, and diabetes. We scored distinct hand joints based on the modified Kellgren-Lawrence (mKL) grade of baseline radiographs, with HOA defined as mKL ≥ 2. In the cross-sectional analysis, we investigated the association between MetS and its components with radiographic HOA and the presence of nodal and erosive HOA phenotypes using regression models. In the longitudinal analysis, we performed Cox regression analysis for hand pain incidence in follow-up visits. RESULTS MetS was associated with higher odds of radiographic HOA, including the number of joints with OA (OR 1.32, 95% CI 1.08-1.62), the sum of joints mKLs (OR 2.42, 95% CI 1.24-4.71), mainly in distal interphalangeal joints (DIPs) and proximal interphalangeal joints (PIPs; OR 1.52, 95% CI 1.08-2.14 and OR 1.38, 95% CI 1.09-1.75, respectively), but not metacarpophalangeal (MCP) and first carpometacarpal (CMC1) joints. Hand pain incidence during follow-up was higher with MetS presence (HR 1.25, 95% CI 1.07-1.47). The erosive HOA phenotype and joints' nodal involvement were more frequent with MetS (OR 1.40, 95% CI 1.01-1.97 and OR 1.28, 95% CI 1.02-1.60, respectively). CONCLUSION MetS, a potentially modifiable risk factor, is associated with radiographic DIP and PIP OA and longitudinal hand pain incidence while sparing MCPs and CMC1s. Nodal and erosive HOA phenotypes are associated with MetS, suggestive of possible distinct pathophysiology.
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Affiliation(s)
- Bahram Mohajer
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Robert M Kwee
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Ali Guermazi
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Francis Berenbaum
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Mei Wan
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Gehua Zhen
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Xu Cao
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Ida K Haugen
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Shadpour Demehri
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
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Saadatagah S, Pasha AK, Alhalabi L, Sandhyavenu H, Farwati M, Smith CY, Wood‐Wentz CM, Bailey KR, Kullo IJ. Coronary Heart Disease Risk Associated with Primary Isolated Hypertriglyceridemia; a Population-Based Study. J Am Heart Assoc 2021; 10:e019343. [PMID: 34032140 PMCID: PMC8483538 DOI: 10.1161/jaha.120.019343] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 03/23/2021] [Indexed: 12/18/2022]
Abstract
Background Hypertriglyceridemia is associated with increased risk of coronary heart disease but the association is often attributed to concomitant metabolic abnormalities. We investigated the epidemiology of primary isolated hypertriglyceridemia (PIH) and associated cardiovascular risk in a population-based setting. Methods and Results We identified adults with at least one triglyceride level ≥500 mg/dL between 1998 and 2015 in Olmsted County, Minnesota. We also identified age- and sex-matched controls with triglyceride levels <150 mg/dL. There were 3329 individuals with elevated triglyceride levels; after excluding those with concomitant hypercholesterolemia, a secondary cause of high triglycerides, age <18 years or an incomplete record, 517 patients (49.4±14.0 years, 72.0% men) had PIH (triglyceride 627.6±183.6 mg/dL). The age- and sex-adjusted prevalence of PIH in adults was 0.80% (0.72-0.87); the diagnosis was recorded in 60%, 46% were on a lipid-lowering medication for primary prevention and a triglyceride level <150 mg/dL was achieved in 24.1%. The association of PIH with coronary heart disease was attenuated but remained significant after adjustment for demographic, socioeconomic, and conventional cardiovascular risk factors (hazard ratio [HR], 1.53; 95% CI, 1.06-2.20; P= 0.022). There was no statistically significant association between PIH and cerebrovascular disease (HR, 1.06; 95% CI, 0.65-1.73, P= 0.813), peripheral artery disease (HR, 1.27; 95% CI, 0.43-3.75; P= 0.668), or the composite end point of all 3 (HR, 1.28; 95% CI, 0.92-1.80; P=0.148) in adjusted models. Conclusions PIH was associated with incident coronary heart disease events (although there was attenuation after adjustment for conventional risk factors), supporting a causal role for triglycerides in coronary heart disease. The condition is relatively prevalent but awareness and control are low.
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Affiliation(s)
| | - Ahmed K. Pasha
- Department of Cardiovascular MedicineMayo ClinicRochesterMN
| | - Lubna Alhalabi
- Department of Cardiovascular MedicineMayo ClinicRochesterMN
| | | | - Medhat Farwati
- Department of Cardiovascular MedicineMayo ClinicRochesterMN
| | - Carin Y. Smith
- Division of Clinical Trials and BiostatisticsMayo ClinicRochesterMN
| | | | - Kent R. Bailey
- Division of Clinical Trials and BiostatisticsMayo ClinicRochesterMN
| | - Iftikhar J. Kullo
- Department of Cardiovascular MedicineMayo ClinicRochesterMN
- Gonda Vascular CenterMayo ClinicRochesterMN
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Petrov I, Postadzhiyan A, Vasilev D, Kasabov R, Tokmakova M, Nikolov F, Istatkov V, Zhao B, Mutafchiev D, Petkova R. Familial Hypercholesterolemia Identification Algorithm in Patients with Acute Cardiovascular Events in A Large Hospital Electronic Database in Bulgaria: A Call for Implementation. Adv Ther 2021; 38:2323-2338. [PMID: 33754300 PMCID: PMC8107160 DOI: 10.1007/s12325-020-01608-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/11/2020] [Indexed: 02/07/2023]
Abstract
Background Familial hypercholesterolemia (FH) is a genetic disorder characterized by a high level of low-density lipoprotein cholesterol (LDL-C) and is an important cause for premature cardiovascular disease. Because of underdiagnoses, an acute event is often the first clinical manifestation of FH. There are limited data on the prevalence and treatment of FH among adults admitted for treatment of acute cardiovascular events in Bulgaria. Our objective was to assess the proportion and management of FH patients from those admitted to hospital for treatment of acute symptomatic acute atherosclerotic cardiovascular events (ASCVD), the achievement of LDL-C targets of European Society of Cardiology/European Atherosclerosis Society guidelines and related public healthcare resources. Objective Digitalized healthcare records for patients admitted for treatment of symptomatic ASCVD acute events between August 2018 and August 2019 were used for the analysis. Five cardiology hospitals provided data for hospitalizations, laboratory tests, and ambulatory follow-ups up to February 2020. Patients’ hospital and ambulatory records were linked, and medical histories were extracted via a specifically developed algorithm, and analyzed. Outcomes included the proportion of patients classified as FH as defined by the Dutch Lipid Network Criteria (DLNC), use of lipid-lowering therapy, LDL-C achieved by 1, 3, 6, and 12 months post-index event, and public resources spent on hospital and ambulatory treatment. Results We reviewed 11,090 hospital records of patients admitted for treatment of acute events in the period August 2018–August 2019 with ICD codes for ASCVD (Supplementary Table S3). FH was identified in 731 (6.6%) patients, with DLNC score ≥ 3, (682 with coronary artery disease, 32 with cerebrovascular disease, and 17 with peripheral artery disease). We did not find the criteria for FH in 5797 patients. The remaining 4562 records were inconclusive due to lack of data in the hospital dossier. Less than half of FH patients (274/731, 37%) were discharged on high-intensity statin therapy prescribed (34/731, 5%) with combination therapy. The vast majority (96.2% with LDL-C ≥ 1.8 mmol/l) had poorly controlled LDL-C during the first year after discharge. Patients with a probable/definite DLNC score ≥ 6 points and those with recurrent events contributed to the higher cost paid both by the healthcare system and the patients themselves. Conclusion These findings reinforce the need for more aggressive lipid-lowering therapy, and underline the efficiency of using an electronic medical records search tool to support physicians in improving early FH diagnosis, aiming to minimize residual and future ASCVD events among FH patients and their family members.
Supplementary file1 (MP4 21838 KB)
Supplementary Information The online version contains supplementary material available at 10.1007/s12325-020-01608-3.
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Affiliation(s)
- Ivo Petrov
- Cardiology, Angiology and Electrophysiology Department, Acibadem City Clinic Cardiovascular Center, Sofia, Bulgaria
| | - Arman Postadzhiyan
- Department of General Medicine, Emergency University Hospital "St. Anna", Medical University of Sofia, Sofia, Bulgaria
| | - Dobrin Vasilev
- Department of Interventional Cardiology, Alexandrovska University Hospital, Medical University Sofia, Sofia, Bulgaria
| | - Ruslan Kasabov
- Department of Interventional Cardiology: Hospital "Pulmed", Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Mariya Tokmakova
- Department of Cardiology, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Fedya Nikolov
- Department of Cardiology, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Veselin Istatkov
- Sqilline, Danny Platform-Analytics Platform for Real-World Data, Sofia, Bulgaria
| | - Boyang Zhao
- Sqilline, Danny Platform-Analytics Platform for Real-World Data, Sofia, Bulgaria
| | - Dimiter Mutafchiev
- Sqilline, Danny Platform-Analytics Platform for Real-World Data, Sofia, Bulgaria
| | - Reneta Petkova
- Department of General Medicine, Amgen Bulgaria, Sofia, Bulgaria.
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Grimm J, Peschel G, Müller M, Schacherer D, Wiest R, Weigand K, Buechler C. Rapid Decline of Serum Proprotein Convertase Subtilisin/Kexin 9 (PCSK9) in Non-Cirrhotic Patients with Chronic Hepatitis C Infection Receiving Direct-Acting Antiviral Therapy. J Clin Med 2021; 10:1621. [PMID: 33920491 PMCID: PMC8069657 DOI: 10.3390/jcm10081621] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 02/06/2023] Open
Abstract
Direct-acting antivirals (DAAs) efficiently eradicate the hepatitis C virus (HCV). Low-density lipoprotein (LDL) levels increase rapidly upon DAA treatment. Proprotein convertase subtilisin/kexin 9 (PCSK9) induces degradation of the hepatic LDL receptor and thereby elevates serum LDL. The aim of this study was to determine serum PCSK9 concentrations during and after DAA therapy to identify associations with LDL levels. Serum PCSK9 was increased in 82 chronic HCV-infected patients compared to 55 patients not infected with HCV. Serum PCSK9 was low in HCV patients with liver cirrhosis, but patients with HCV-induced liver cirrhosis still exhibited higher serum PCSK9 than patients with non-viral liver cirrhosis. Serum PCSK9 correlated with measures of liver injury and inflammation in cirrhotic HCV patients. In patients without liver cirrhosis, a positive association of serum PCSK9 with viral load existed. Serum PCSK9 was not different between viral genotypes. Serum PCSK9 did not correlate with LDL levels in HCV patients irrespective of cirrhotic status. Serum PCSK9 was reduced, and LDL was increased at four weeks after DAA therapy start in non-cirrhotic HCV patients. Serum PCSK9 and LDL did not change upon DAA treatment in the cirrhotic group. The rapid decline of PCSK9 after the start of DAA therapy in conjunction with raised LDL levels in non-cirrhotic HCV patients shows that these changes are not functionally related.
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Affiliation(s)
- Jonathan Grimm
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
| | - Georg Peschel
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
| | - Martina Müller
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
| | - Doris Schacherer
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
| | - Reiner Wiest
- Department of Visceral Surgery and Medicine, University Inselspital, 3010 Bern, Switzerland;
| | - Kilian Weigand
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
| | - Christa Buechler
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany; (J.G.); (G.P.); (M.M.); (D.S.); (K.W.)
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70
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Birnbaum RA, Horton BH, Gidding SS, Brenman LM, Macapinlac BA, Avins AL. Closing the gap: Identification and management of familial hypercholesterolemia in an integrated healthcare delivery system. J Clin Lipidol 2021; 15:347-357. [PMID: 33583725 DOI: 10.1016/j.jacl.2021.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 01/16/2021] [Accepted: 01/22/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder that causes markedly elevated risk for early onset coronary artery disease. Despite availability of effective therapy, only 5-10% of affected individuals worldwide are diagnosed. OBJECTIVE To develop and evaluate a novel approach for identifying and managing patients with FH in a large integrated health system with a diverse patient population, using inexpensive methods. METHODS Using Make Early Diagnosis/Prevent Early Death (MEDPED) criteria, we created a method for identifying patients at high risk for FH within the Kaiser Permanente Northern California electronic medical record. This led to a pragmatic workflow for contacting patients, establishing a diagnosis in a dedicated FH clinic, and initiating management. We prospectively collected data on the first 100 patients to assess implementation effectiveness. RESULTS Ninety-three (93.0%, 95%CI: 86.1%-97.1%) of the first 100 evaluated patients were diagnosed with FH (median age = 38 years) of whom only 5% were previously recognized; 48% were taking no lipid-lowering therapy, and 7% had acute coronary symptoms. 82 underwent successful genetic testing of whom 55 (67.1%; 95%CI: 55.8%-77.1%) had a pathogenic mutation. Following clinic evaluation, 83 of 85 (97.6%) medication-eligible patients were prescribed combination lipid-lowering therapy. 20 family members in the healthcare system were diagnosed with FH through cascade testing. CONCLUSIONS This novel approach was effective for identifying and managing patients with undiagnosed FH. Care gaps in providing appropriate lipid-lowering therapy were successfully addressed. Further development and dissemination of integrated approaches to FH care are warranted.
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Affiliation(s)
- Richard A Birnbaum
- Department of Cardiology, Northern California Kaiser Permanente, San Leandro, California, USA.
| | - Brandon H Horton
- Division of Research, Northern California Kaiser Permanente, Oakland, California, USA
| | - Samuel S Gidding
- Geisinger Genomic Medicine, Geisinger Health System, Danville, PA
| | - Leslie Manace Brenman
- Department of Genetics, Northern California Kaiser Permanente, Oakland, California, USA
| | - Brian A Macapinlac
- Department of Cardiology, Northern California Kaiser Permanente, San Leandro, California, USA
| | - Andrew L Avins
- Division of Research, Northern California Kaiser Permanente, Oakland, California, USA; Departments of Medicine and Epidemiology & Biostatistics, University of California, San Francisco; San Francisco, California, USA
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71
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Zamora A, Paluzie G, García-Vilches J, Alonso Gisbert O, Méndez Martínez AI, Plana N, Rodríguez-Borjabad C, Ibarretxe D, Martín-Urda A, Masana L. Massive data screening is a second opportunity to improve the management of patients with familial hypercholesterolemia phenotype. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS 2021; 33:138-147. [PMID: 33618913 DOI: 10.1016/j.arteri.2020.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 11/07/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Familial Hypercholesterolemia (FH) is an autosomal dominant disease with an estimated prevalence between 1/200-250. It is under-treated and underdiagnosed. Massive data screening can increase the detection of patients with FH. METHODS Study population: Residents in the health coverage area (N: 195.000 inhabitants) and with at least one determination of cholesterol linked to low-density lipoproteins (LDL-C) carried out between January 1, 2010 and December 30, 2019. The highest LDL-C values were selected. EXCLUSION CRITERIA nephrotic syndrome, hypothyroidism, Hypothyroid treatment or triglycerides> 400 mg / dL. Seven algorithms suggestive of Familial Hypercholesterolemia Phenotype (HF-P) were analyzed, selecting the most efficient algorithm that could easily be translated into clinical practice. RESULTS Based on 6.264.877 assistances and 288.475 patients, after applying the inclusion-exclusion criteria, 504.316 tests were included, corresponding to 106.382 adults and 10.509 <18 years. The selected algorithm presented a prevalence of 0.62%. 840 patients with HF-P were detected, 55.8% being women and 178 <18 years old, 9.3% had a history of cardiovascular disease (CVD) and 16.4% had died. 65% of the patients in primary prevention had LDL-C values> 130 mg / dL and 83% in secondary prevention values> 70mg / dL. A ratio of 7.64 (1-18) patients with HF-P per analytical requesting physician was obtained. CONCLUSIONS Massive data screening and patient profiling are effective tools and easily applicable in clinical practice for the detection of patients with FH.
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Affiliation(s)
- Alberto Zamora
- Unidad de Lípidos y Riesgo Vascular, Servicio de Medicina Interna, Hospital de Blanes, Corporació de Salut del Maresme i la Selva, Blanes, Girona, España; Grupo de Medicina Traslacional y Ciencias de la Decisión, Departamento de Ciencias Médicas, Facultad de Medicina, Universidad de Girona, Girona, España; Grupo Epidemiología Cardiovascular y Genética. CIBER, Enfermedades Cardiovasculares (CIBERCV), Barcelona, España.
| | - Guillem Paluzie
- Unidad de Información y Documentación Asistencial, Corporació de Salut del Maresme I la Selva, Barcelona, España
| | - Joan García-Vilches
- Departamento de Informática, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Oriol Alonso Gisbert
- Servicio de Medicina Interna, Hospital Sant Jaume de Calella, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Ana Inés Méndez Martínez
- Servicio de Medicina Interna, Hospital Sant Jaume de Calella, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Núria Plana
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Cèlia Rodríguez-Borjabad
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Daiana Ibarretxe
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Anabel Martín-Urda
- Servicio de Medicina Interna, Hospital de Palamòs, Serveis de Salut Integrats Baix Empordà, Girona, España
| | - Luis Masana
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3220] [Impact Index Per Article: 1073.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports 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 2021 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, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 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, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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73
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Liu CX, Yin RX, Shi ZH, Zheng PF, Deng GX, Guan YZ, Wei BL. Associations between TUBB-WWOX SNPs, their haplotypes, gene-gene, and gene-environment interactions and dyslipidemia. Aging (Albany NY) 2021; 13:5906-5927. [PMID: 33612478 PMCID: PMC7950260 DOI: 10.18632/aging.202514] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/29/2020] [Indexed: 04/21/2023]
Abstract
In this study, we investigated associations between single nucleotide polymorphisms (SNPs) in the tubulin beta class I (TUBB) and WW domain-containing oxidoreductase (WWOX) genes, gene-gene interactions, and gene-environment interactions and dyslipidemia in the Chinese Maonan ethnic group. Four SNPs (rs3132584, rs3130685, rs2222896, and rs2548861) were genotyped in unrelated subjects with normal lipid levels (864) or dyslipidemia (1129). While 5.0% of Maonan subjects carried the rs3132584TT genotype, none of the Chinese Han in Beijing subjects did. Allele and genotype frequencies differed between the normal and dyslipidemia groups for three SNPs (rs3132584, rs3130685, and rs2222896). rs2222896G allele carriers in the normal group had higher low-density lipoprotein cholesterol and lower high-density lipoprotein cholesterol levels. The rs3132584GG, rs3130685CC+TT, and rs2222896GG genotypes as well as the rs2222896G-rs2548861G and rs2222896G-rs2548861T haplotypes were associated with an elevated risk of dyslipidemia; the rs2222896A-rs2548861T and rs2222896A-rs2548861G haplotypes were associated with a reduced risk of dyslipidemia. Among the thirteen TUBB-WWOX interaction types identified, rs3132584T-rs3130685T-rs2222896G-rs2548861T increased the risk of dyslipidemia 1.371-fold. Fourteen two- to four-locus optimal interactive models for SNP-SNP, haplotype-haplotype, gene-gene, and gene-environment interactions exhibited synergistic or contrasting effects on dyslipidemia. Finally, the interaction between rs3132584 and rs2222896 increased the risk of dyslipidemia 2.548-fold and predicted hypertension.
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Affiliation(s)
- Chun-Xiao Liu
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Rui-Xing Yin
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory Base of Precision Medicine in Cardio-Cerebrovascular Disease Control and Prevention, Nanning 530021, Guangxi, People’s Republic of China
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning 530021, Guangxi, People’s Republic of China
| | - Zong-Hu Shi
- Department of Prevention and Health Care, The Fourth Affiliated Hospital, Guangxi Medical University, Liuzhou 545005, Guangxi, People’s Republic of China
| | - Peng-Fei Zheng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Guo-Xiong Deng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Yao-Zong Guan
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
| | - Bi-Liu Wei
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People’s Republic of China
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74
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Mszar R, Gopal DJ, Chowdary R, Smith CL, Dolin CD, Irwin ML, Soffer D, Nemiroff R, Lewey J. Racial/Ethnic Disparities in Screening for and Awareness of High Cholesterol Among Pregnant Women Receiving Prenatal Care. J Am Heart Assoc 2021; 10:e017415. [PMID: 33345544 PMCID: PMC7955491 DOI: 10.1161/jaha.120.017415] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 10/20/2020] [Indexed: 01/15/2023]
Abstract
Background Atherosclerotic cardiovascular disease remains a leading cause of morbidity and mortality among women, with younger women being disproportionately affected by traditional cardiovascular risk factors such as dyslipidemia. Despite recommendations for lipid screening in early adulthood and the risks associated with maternal dyslipidemia during pregnancy, many younger women lack access to and utilization of early screening. Accordingly, our objective was to assess the prevalence of and disparities in lipid screening and awareness of high cholesterol as an atherosclerotic cardiovascular disease risk factor among pregnant women receiving prenatal care. Methods and Results We invited 234 pregnant women receiving prenatal care at 1 of 3 clinics affiliated with the University of Pennsylvania Health System to complete our survey. A total of 200 pregnant women (86% response rate) completed the survey. Overall, 59% of pregnant women (mean age 32.2 [±5.7] years) self-reported a previous lipid screening and 79% of women were aware of high cholesterol as an atherosclerotic cardiovascular disease risk factor. Stratified by racial/ethnic subgroups, non-Hispanic Black women were less likely to report a prior screening (43% versus 67%, P=0.022) and had lower levels of awareness (66% versus 92%, P<0.001) compared with non-Hispanic White women. Non-Hispanic Black women were more likely to see an obstetrician/gynecologist for their usual source of non-pregnancy care compared with non-Hispanic White women (18% versus 5%, P=0.043). Those seeing an obstetrician/gynecologist for usual care were less likely to report a prior lipid screening compared with those seeing a primary care physician (29% versus 63%, P=0.007). Conclusions Significant racial/ethnic disparities persist in lipid screening and risk factor awareness among pregnant women. Prenatal care may represent an opportunity to enhance access to and uptake of screening among younger women and reduce variations in accessing preventive care services.
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Affiliation(s)
- Reed Mszar
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCT
| | - Dipika J. Gopal
- Division of CardiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Rupa Chowdary
- Department of MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Cara Lea Smith
- Division of CardiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Cara D. Dolin
- Department of Obstetrics and GynecologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Melinda L. Irwin
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCT
| | - Daniel Soffer
- Division of CardiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Richard Nemiroff
- Department of Obstetrics and GynecologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Jennifer Lewey
- Division of CardiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
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75
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Sumarsono A, Lalani H, Segar MW, Rao S, Vaduganathan M, Wadhera RK, Das SR, Navar AM, Fonarow GC, Pandey A. Association of Medicaid Expansion With Rates of Utilization of Cardiovascular Therapies Among Medicaid Beneficiaries Between 2011 and 2018. Circ Cardiovasc Qual Outcomes 2021; 14:e007492. [PMID: 33161766 PMCID: PMC8261855 DOI: 10.1161/circoutcomes.120.007492] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 09/16/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND The Affordable Care Act expanded Medicaid eligibility allowing low-income individuals greater access to health care. However, the uptake of state Medicaid expansion has been variable. It remains unclear how the Medicaid expansion was associated with the temporal trends in use of evidence-based cardiovascular drugs. METHODS We used the publicly available Medicaid Drug Utilization and Current Population Survey to extract filled prescription rates per 1000 Medicaid beneficiaries of statins, antihypertensives, P2Y12 inhibitors, and direct oral anticoagulants. We defined expander states as those who expanded Medicaid on or before January 1, 2014, and nonexpander states as those who had not expanded by December 31, 2018. Difference-in-differences (DID) analyses were performed to compare the association of the Medicaid expansion with per-capita cardiovascular drug prescription rates in expander versus nonexpander states. RESULTS Between 2011 and 2018, the total number of prescriptions among all Medicaid beneficiaries increased, with gains of 89.7% in statins (11.0 to 20.8 million), 76% in antihypertensives (35.3 to 62.2 million), and 37% in P2Y12 inhibitors (1.7 to 2.3 million). Medicaid expansion was associated with significantly greater increases in quarterly prescriptions (per 1000 Medicaid beneficiaries) of statins (DID estimate [95% CI]: 22.5 [16.5-28.6], P<0.001), antihypertensives (DID estimate [95% CI]: 63.2 [47.3-79.1], P<0.001), and P2Y12 inhibitors (DID estimate [95% CI]: 1.7 [1.2-2.2], P<0.001). Between 2013 and 2018, >75% of the expander states had increases in prescription rates of both statins and antihypertensives. In contrast, 44% of nonexpander states saw declines in statins and antihypertensives. The Medicaid expansion was not associated with higher direct oral anticoagulants prescription rates (DID estimate [95% CI] 0.9 [-0.3 to 2.1], P=0.142). CONCLUSIONS The 2014 Medicaid expansion was associated with a significant increase in per-capita utilization of cardiovascular prescription drugs among Medicaid beneficiaries. These gains in utilization may contribute to long-term cardiovascular benefits to lower-income and previously underinsured populations.
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Affiliation(s)
- Andrew Sumarsono
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Division of Hospital Medicine, Parkland Memorial Hospital, Dallas, TX
| | - Hussain Lalani
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Matthew W. Segar
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Shreya Rao
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Muthiah Vaduganathan
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Rishi K. Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Sandeep R. Das
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ann Marie Navar
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Gregg C. Fonarow
- Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
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Jarauta E, Bea-Sanz AM, Marco-Benedi V, Lamiquiz-Moneo I. Genetics of Hypercholesterolemia: Comparison Between Familial Hypercholesterolemia and Hypercholesterolemia Nonrelated to LDL Receptor. Front Genet 2020; 11:554931. [PMID: 33343620 PMCID: PMC7744656 DOI: 10.3389/fgene.2020.554931] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 10/28/2020] [Indexed: 01/04/2023] Open
Abstract
Severe hypercholesterolemia (HC) is defined as an elevation of total cholesterol (TC) due to the increase in LDL cholesterol (LDL-C) >95th percentile or 190 mg/dl. The high values of LDL-C, especially when it is maintained over time, is considered a risk factor for the development of atherosclerotic cardiovascular disease (ASCVD), mostly expressed as ischemic heart disease (IHD). One of the best characterized forms of severe HC, familial hypercholesterolemia (FH), is caused by the presence of a major variant in one gene (LDLR, APOB, PCSK9, or ApoE), with an autosomal codominant pattern of inheritance, causing an extreme elevation of LDL-C and early IHD. Nevertheless, an important proportion of serious HC cases, denominated polygenic hypercholesterolemia (PH), may be attributed to the small additive effect of a number of single nucleotide variants (SNVs), located along the whole genome. The diagnosis, prevalence, and cardiovascular risk associated with PH has not been fully established at the moment. Cascade screening to detect a specific genetic defect is advised in all first- and second-degree relatives of subjects with FH. Conversely, in the rest of cases of HC, it is only advised to screen high values of LDL-C in first-degree relatives since there is not a consensus for the genetic diagnosis of PH. FH is associated with the highest cardiovascular risk, followed by PH and other forms of HC. Early detection and initiation of high-intensity lipid-lowering treatment is proposed in all subjects with severe HC for the primary prevention of ASCVD, with an objective of LDL-C <100 mg/dl or a decrease of at least 50%. A more aggressive reduction in LDL-C is necessary in HC subjects who associate personal history of ASCVD or other cardiovascular risk factors.
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Affiliation(s)
- Estíbaliz Jarauta
- Hospital Universitario Miguel Servet, Instituto de Investigacion Sanitaria Aragon (IIS Aragn), Zaragoza, Spain.,Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, Psychiatry a Dermatology, Universidad de Zaragoza, Zaragoza, Spain
| | - Ana Ma Bea-Sanz
- Hospital Universitario Miguel Servet, Instituto de Investigacion Sanitaria Aragon (IIS Aragn), Zaragoza, Spain.,Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Victoria Marco-Benedi
- Hospital Universitario Miguel Servet, Instituto de Investigacion Sanitaria Aragon (IIS Aragn), Zaragoza, Spain.,Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Itziar Lamiquiz-Moneo
- Hospital Universitario Miguel Servet, Instituto de Investigacion Sanitaria Aragon (IIS Aragn), Zaragoza, Spain.,Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, Psychiatry a Dermatology, Universidad de Zaragoza, Zaragoza, Spain
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77
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Guo Y, Wheldon CW, Shao H, Pepine CJ, Handberg EM, Shenkman EA, Bian J. Statin Use for Atherosclerotic Cardiovascular Disease Prevention Among Sexual Minority Adults. J Am Heart Assoc 2020; 9:e018233. [PMID: 33317368 PMCID: PMC7955377 DOI: 10.1161/jaha.120.018233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Sexual minority, or lesbian, gay, and bisexual (LGB), individuals are at increased risk for cardiovascular disease attributable to elevated rates of health risk factors. However, although there is clear evidence that statin use can prevent cardiovscular disease in certain adult populations, no studies have examined how statins are being used among the LGB population. This study aimed to examine the prevalence and predictors of statin use among LGB and non‐LGB individuals using Facebook‐delivered online surveys. Methods and Results We conducted a cross‐sectional online survey about statin use in adults ≥40 years of age between September and December 2019 using Facebook advertising (n=1531). We calculated the prevalence of statin use by age, sexual orientation, and statin benefit populations. We used multivariable logistic regression to examine whether statin use differed by sexual orientation, adjusting for covariates. We observed a significantly lower rate of statin use in the LGB versus non‐LGB respondents (20.8% versus 43.8%; P<0.001) in the primary prevention population. However, the prevalence of statin use was not statistically different in the LGB versus non‐LGB respondents in the secondary prevention population. Adjusting for the covariates, the LGB participants were less likely to use statins than the non‐LGB respondents in the primary prevention population (odds ratio, 0.37; 95% CI, 0.19–0.70). Conclusions Our results are the first to emphasize the urgent need for tailored, evidence‐based cardiovascular disease prevention programs that aim to promote statin use, and thus healthy aging, in the LGB population.
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Affiliation(s)
- Yi Guo
- Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL.,Cancer Informatics Shared Resource University of Florida Health Cancer Center Gainesville FL
| | - Christopher W Wheldon
- Department of Social and Behavioral Sciences College of Public Health Temple University Philadelphia PA
| | - Hui Shao
- Department of Pharmaceutical Outcomes and Policy College of Pharmacy University of Florida Gainesville FL
| | - Carl J Pepine
- Department of Medicine Division of Cardiovascular Medicine College of Medicine University of Florida Gainesville FL
| | - Eileen M Handberg
- Department of Medicine Division of Cardiovascular Medicine College of Medicine University of Florida Gainesville FL
| | - Elizabeth A Shenkman
- Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL.,Cancer Informatics Shared Resource University of Florida Health Cancer Center Gainesville FL
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78
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Huang YQ, Liu XC, Lo K, Feng YQ, Zhang B. A dose-independent association of triglyceride levels with all-cause mortality among adults population. Lipids Health Dis 2020; 19:225. [PMID: 33059659 PMCID: PMC7566122 DOI: 10.1186/s12944-020-01400-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/06/2020] [Indexed: 11/23/2022] Open
Abstract
Background The relationship between triglyceride (TG) level and the mortality risk of all-cause and cardiovascular disease is not entirely consistent among adults. Methods The present analysis included adult participants from National Health and Nutrition Examination Surveys (NHANES) between the periods 1999–2014. The levels of TG were categorized into < 150, 150–199, 200–250 and ≥ 250 mg/dL respectively. Multivariate Cox regression analysis, stratified analysis and generalized additive model were conducted to reveal the correlation between TG and mortality risk. Results were presented in hazard ratio (HRs) and 95% confidence intervals (CIs). Results There were 18,781 (9130 males, mean age was 45.64 years) participants being included in the analysis. The average follow-up period was 8.25 years, where 1992 (10.61%) cases of all-cause and 421 (2.24%) cardiovascular death have occurred. In the multivariate Cox model, every 1 mg/dL raise in TG has significantly associated with all-cause mortality (HR: 1.08, 95% CI: 1.02, 1.15) but not cardiovascular mortality (HR: 1.10, 95% CI: 0.97, 1.24). When using TG < 150 mg/dL as reference, TG ≥ 250 mg/dL associated with death from all-cause (HR = 1.34, 95% CI: 1.12, 1.60; P = 0.0016 but not cardiovascular death (HR = 1.26, 95% CI: 0.85, 1.88; P = 0.2517). According to smoothing spline plots, the risk of all-cause was the lowest when TG was approximately 135 mg/dL. Conclusion TG might have a dose-independent association with all-cause mortality among adults in United States.
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Affiliation(s)
- Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.,Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA.,Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
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79
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Chen CL, Liu XC, Liu L, Lo K, Yu YL, Huang JY, Huang YQ, Chen JY. U-Shaped Association of High-Density Lipoprotein Cholesterol with All-Cause and Cardiovascular Mortality in Hypertensive Population. Risk Manag Healthc Policy 2020; 13:2013-2025. [PMID: 33116982 PMCID: PMC7549655 DOI: 10.2147/rmhp.s272624] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/12/2020] [Indexed: 12/30/2022] Open
Abstract
Purpose Whether the paradox of high-density lipoprotein cholesterol (HDL-C) and elevated mortality risk extends to hypertensive patients is unclear. We aimed to investigate the association between HDL-C and all-cause and cardiovascular disease mortality in adults with hypertension. Methods In the National Health and Nutrition Examination Surveys, 11,497 hypertensive participants aged ≥18years old and examined at baseline between 1999 and 2014 were followed up until December 2015. We categorized the HDL-C concentration as ≤30, 31–40, 41–50, 51–60 (reference), 61–70, >70 mg/dL and examined their associations with all-cause and cardiovascular mortality, respectively. Multivariate Cox regression was used to calculated hazard ratio (HR) and 95% confidence interval (CI) for mortality risk. Results During follow-up (median: 9.2 ± 3.8 years), 3012 deaths and 713 cardiovascular deaths were observed. In the restrictive cubic curves, associations of HDL-C levels and all-cause and cardiovascular mortality were detected to be U-shaped. After multivariable adjustment, HRs for all-cause mortality were for the lowest HDL-C concentration (≤30 mg/dL) 1.29 (95% CI, 1.07–1.56) and the highest (>70 mg/dL) 1.20 (1.06–1.37), comparing with the reference group. For cardiovascular mortality, HRs were 1.31 (0.83–1.48) and 1.09 (0.83–1.43), respectively. Similar results were obtained in subgroups stratified by age, gender, race, and taking lipid-lowering drugs. The lowest all-cause mortality risk was observed at HDL-C 66 mg/dL (concentration) and 51–60 mg/dL (range). Conclusion Both lower and higher HDL-C concentration appeared to be associated with higher mortality in hypertensive population. Further investigation is warranted to clarify the underlying mechanisms.
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Affiliation(s)
- Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Kenneth Lo
- Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA
| | - Yu-Ling Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Ji-Yan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
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80
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Huang YQ, Liu XC, Lo K, Liu L, Yu YL, Chen CL, Huang JY, Feng YQ, Zhang B. The U Shaped Relationship Between High-Density Lipoprotein Cholesterol and All-Cause or Cause-Specific Mortality in Adult Population. Clin Interv Aging 2020; 15:1883-1896. [PMID: 33061337 PMCID: PMC7537851 DOI: 10.2147/cia.s271528] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 08/27/2020] [Indexed: 01/22/2023] Open
Abstract
Purpose The associations of high-density lipoprotein cholesterol (HDL-C) with mortality are still unclear. We explored the associations of HDL-C with all-cause and cause-specific mortality in an adult population. Methods Deaths were classified into all-cause, cardiovascular, and cancer mortality. Survival curve, multivariate Cox regression, and subgroup analyses were conducted, and hazard ratio (HR) and 95% confidence interval (CI) were performed. We fitted Cox regression models for all-cause, cardiovascular, and cancer mortality to evaluate their associations with categories of HDL-C (≤30, 31-40, 41-50, 51-60 [reference], 61-70, >70 mg/dL). Results A total of 42,145 (20,415 (48.44%) males, mean age 47.12±19.40 years) subjects were enrolled. At an average follow-up of 97.52±54.03 months, all-cause, cardiovascular, and cancer mortality numbers were 5,061 (12.01), 1,081 (2.56%), and 1,061 (2.52%), respectively. When compared with the reference group (HDL-C: 51-60 mg/dL), a U-shaped association was apparent for all-cause mortality, with elevated risk in participants with the lowest (≤30 mg/dL) (HR=1.33; 95% CI=1.14- 1.56) and highest (>70 mg/dL) (HR=1.14; 95% CI=1.02-1.27) HDL-C concentration. Associations for cardiovascular and cancer mortality were non-linear. An elevated risk for cancer mortality was observed in those with the highest HDL-C concentration (HR=1.06; 95% CI-0.84-1.34) compared with the reference group, although it was not statistically significant. The effect of HDL-C on mortality was adjusted by some traditional risk factors including age, gender, race, or comorbidities. Conclusion A U-shaped association was observed between HDL-C and all-cause mortality among an adult population.
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Affiliation(s)
- Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China.,Department of Epidemiology, Centre for Global Cardio-Metabolic Health, Brown University, Providence, RI, USA
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yu-Ling Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
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81
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Prevalence and Characteristics of Patients With Primary Severe Hypercholesterolemia in a Multidisciplinary Healthcare System. Am J Cardiol 2020; 132:59-65. [PMID: 32773228 DOI: 10.1016/j.amjcard.2020.07.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 07/02/2020] [Accepted: 07/03/2020] [Indexed: 01/06/2023]
Abstract
Severe hypercholesterolemia (SH) includes individuals with LDL-C ≥ 190 mg/dl, regardless of cause. These individuals have a fivefold increased long-term risk for coronary artery disease. Although systematic SH screening can trigger early treatment, current treatment guidelines may not be fully implemented or followed by patients. To further understand this treatment gap, we used electronic health record data to retrospectively assess SH prevalence, characteristics, and treatment in a midwest US healthcare system, between 2009 and 2020. Comorbidities, tobacco exposure, and prescribed lipid-lowering therapies were assessed. Statistical analyses were conducted to identify differences between individuals with primary SH (LDL-C ≥ 190 mg/dl, group 1) and those without primary SH (LDL-C < 190 mg/dl, group 2). Of 265,220 records analyzed, 7.4% met the definition for primary SH. These group 1 cases had more comorbidities than group 2 cases, including premature coronary artery disease (5.8% vs 2.7%). Results showed most individuals in group 1 were treated by primary care providers (43.2% to 45.7%), than by specialty providers (2.5% to 3.3%), and these primary care providers prescribed mainly moderate-intensity statins. Seventy-seven percent of group 1 individuals were treated with a statin, 27% were treated with a high-intensity statin, and 4% were treated with ezetimibe. Fewer young patients (< 40 years) were treated with statins (50% to 58.3%) than older patients (74.0% to 76.3%). Although use of general statins, high-intensity statins, and ezetimibe was higher in individuals with SH than those without SH, treatment remains below guideline recommendations, especially in younger individuals.
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82
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Yaman S, Ozdemir D, Akman BT, Cakir B, Ersoy O. Awareness, treatment rates, and compliance to treatment in patients with serum LDL cholesterol higher than 250 mg/dL, and possible, probable, or definite familial hypercholesterolemia. Postgrad Med 2020; 133:146-153. [PMID: 32744105 DOI: 10.1080/00325481.2020.1805212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PURPOSE Familial hypercholesterolemia (FH) is a genetic disease characterized by increased levels of low-density lipoprotein cholesterol (LDL-C). It is underdiagnosed and undertreated despite relatively high prevalance and significant association with increased mortality. We aimed to determine treatment status and compliance in patients with LDL-C ≥ 250 mg/dL and FH. DESIGN Patients older than 18 years old and have a serum LDL-C ≥ 250 mg/dL between January 2010 to December 2016 were identified from the hospital database. A phone survey was performed. Demographic features, smoking status, alcohol use, exercise, cardiovascular disease (CVD), use of medication for dyslipidemia, and CVD and high cholesterol levels in the family were questioned. Dutch Lipid Clinical Network Criteria was used to classify patients. The study was registered to Clinicaltrials.gov in July 2020 (NCT04494464). RESULTS 1365 patients with a LDL-C ≥ 250 mg/dL were identified. Patients that could not be reached and who refused to interview were excluded and the data of 367 patients were analyzed. There were 248 (67.6%) female and 119 (32.4%) male patients and mean age was 50.52 ± 11.66. LDL-C was ≥330 mg/dL in 50 (13.6%) and 250-329 mg/dL in 317 (86.4%) patients. Forty (10.9%) patients were classified as definite, 181 (49.3%) as probable and 146 (39.8%) as possible FH. 213 (58.0%) patients were not receiving lipid-lowering treatment, and 162 (76.1%) stated that medication was never recommended previously, 30 (14.1%) had stopped medication him/herself and 21 (9.8%) had stopped medication with the advice of the physician. Among patients with definite/probable FH, 84 (38.0%) had CVD and the rate of lipid-lowering drug use in these patients was 58.3%. CONCLUSION A significant proportion of patients with LDL-C ≥ 250 mg/dL were not taking lipid-lowering drugs. Similar with many other studies, diagnosis, and treatment rates of FH patients were very low in our study. Further national studies are required to increase awareness of the disease in both physicians and patients.
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Affiliation(s)
- Samet Yaman
- Department of Internal Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey
| | - Didem Ozdemir
- Department of Endocrinology and Metabolism Diseases, Ankara Yildirim Beyazit University, Ankara, Turkey
| | - Busra Tugce Akman
- Department of Internal Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey
| | - Bekir Cakir
- Department of Endocrinology and Metabolism Diseases, Ankara Yildirim Beyazit University, Ankara, Turkey
| | - Osman Ersoy
- Department of Gastroenterology, Ankara Yildirim Beyazit University, Ankara, Turkey
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83
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Gold ME, Nanna MG, Doerfler SM, Schibler T, Wojdyla D, Peterson ED, Navar AM. Prevalence, treatment, and control of severe hyperlipidemia. Am J Prev Cardiol 2020; 3:100079. [PMID: 34327462 PMCID: PMC8315339 DOI: 10.1016/j.ajpc.2020.100079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/13/2020] [Accepted: 07/31/2020] [Indexed: 12/16/2022] Open
Abstract
Objective To identify the prevalence, treatment, and low-density lipoprotein cholesterol (LDL-C) control of individuals with LDL-C ≥190 mg/dL in contemporary clinical practice. Methods We included adults (age ≥18 years) with LDL-C ≥190 mg/dL, at least one LDL-C level drawn from 255 health systems participating in Cerner HealthFacts database (2000–2017, n = 4,623,851), and a detailed examination within Duke University Health System (DUHS, 2015–2017, n = 267,710). Factors associated with LDL-C control were evaluated using multivariable logistic regression modeling. Results The cross-sectional prevalence of LDL-C ≥190 mg/dL was 3.0% in Cerner (n = 139,539/4,623,851) and 2.9% at DUHS (n = 7728/267,710); among these, rates of repeat LDL-C measurement within 13 months were low: 27.9% (n = 38,960) in Cerner, 54.5% (n = 4211) at DUHS. Of patients with follow-up LDL-C levels, 23.6% in Cerner had a 50% of greater reduction in LDL-C, 18.3% achieved an LDL-C <100 mg/dL and 2.7% < 70 mg/dL. At DUHS, 28.4% had a 50% or greater reduction in LDL-C, 28.4% achieved an LDL-C ≤100 mg/dL and 4.4% achieved <70 mg/dL. Within DUHS, 71.6% with LDL-C ≥190 mg/dL were on any statin during follow-up, but only 28.5% were on a high-intensity statin. In multivariable modeling, seeing a cardiologist (Cerner odds ratio [OR] 1.56, confidence interval [CI] 1.33–1.83; DUHS OR 1.89, 95% CI 1.18–3.01) and having diabetes (Cerner OR 1.34 CI 1.23–1.46; DUHS OR 2.07, CI 1.62–2.65) increased odds of LDL-C control, defined as a ≥50% reduction in LDL-C (at Cerner) or initiation of high intensity statin (at DUHS). Prior atherosclerotic cardiovascular disease (OR 1.19, CI 1.07–1.33), hypertension (OR 1.10, CI 1.03–1.18), African American race (OR 0.79, CI 0.71–0.89), and government (vs. private) insurance (OR 0.90, CI 0.83–0.98) were associated with LDL-C control at Cerner. Female sex was associated with lower odds of appropriate therapy (OR 0.69, CI 0.59–0.81) at DUHS. Conclusions Approximately 3% of United States adults have LDL-C ≥190 mg/dL. Among those with very high LDL-C, rates of repeat measurement within one year were low; of those retested, only about one-fourth met guideline-recommended LDL-C treatment goals. Large numbers of U.S. adults with extremely high LDL-C.Can be identified using available EHR data Often have no follow-up lipid measurement Are not treated with recommended lipid-lowering therapies Do not achieve guideline-recommended LDL-C reduction goals
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Affiliation(s)
| | | | | | | | | | | | - Ann Marie Navar
- Duke Clinical Research Institute, Durham, NC, USA
- Corresponding author. Duke Clinical Research Institute, 200 Morris St, Durham, NC, 27701, USA.
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84
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Brandts J, Ray KK. Bempedoic acid, an inhibitor of ATP citrate lyase for the treatment of hypercholesterolemia: early indications and potential. Expert Opin Investig Drugs 2020; 29:763-770. [DOI: 10.1080/13543784.2020.1778668] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Julia Brandts
- Department of Medicine I, University Hospital RWTH Aachen , Aachen, Germany
- Imperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London , London, UK
| | - Kausik K. Ray
- Imperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London , London, UK
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85
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Hu P, Dharmayat KI, Stevens CA, Sharabiani MT, Jones RS, Watts GF, Genest J, Ray KK, Vallejo-Vaz AJ. Prevalence of Familial Hypercholesterolemia Among the General Population and Patients With Atherosclerotic Cardiovascular Disease. Circulation 2020; 141:1742-1759. [DOI: 10.1161/circulationaha.119.044795] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background:
Contemporary studies suggest that familial hypercholesterolemia (FH) is more frequent than previously reported and increasingly recognized as affecting individuals of all ethnicities and across many regions of the world. Precise estimation of its global prevalence and prevalence across World Health Organization regions is needed to inform policies aiming at early detection and atherosclerotic cardiovascular disease (ASCVD) prevention. The present study aims to provide a comprehensive assessment and more reliable estimation of the prevalence of FH than hitherto possible in the general population (GP) and among patients with ASCVD.
Methods:
We performed a systematic review and meta-analysis including studies reporting on the prevalence of heterozygous FH in the GP or among those with ASCVD. Studies reporting gene founder effects and focused on homozygous FH were excluded. The search was conducted through Medline, Embase, Cochrane, and Global Health, without time or language restrictions. A random-effects model was applied to estimate the overall pooled prevalence of FH in the general and ASCVD populations separately and by World Health Organization regions.
Results:
From 3225 articles, 42 studies from the GP and 20 from populations with ASCVD were eligible, reporting on 7 297 363 individuals/24 636 cases of FH and 48 158 patients/2827 cases of FH, respectively. More than 60% of the studies were from Europe. Use of the Dutch Lipid Clinic Network criteria was the commonest diagnostic method. Within the GP, the overall pooled prevalence of FH was 1:311 (95% CI, 1:250–1:397; similar between children [1:364] and adults [1:303],
P
=0.60; across World Health Organization regions where data were available,
P
=0.29; and between population-based and electronic health records–based studies,
P
=0.82). Studies with ≤10 000 participants reported a higher prevalence (1:200–289) compared with larger cohorts (1:365–407;
P
<0.001). The pooled prevalence among those with ASCVD was 18-fold higher than in the GP (1:17 [95% CI, 1:12–1:24]), driven mainly by coronary artery disease (1:16; [95% CI, 1:12–1:23]). Between-study heterogeneity was large (
I
2
>95%). Tests assessing bias were nonsignificant (
P
>0.3).
Conclusions:
With an overall prevalence of 1:311, FH is among the commonest genetic disorders in the GP, similarly present across different regions of the world, and is more frequent among those with ASCVD. The present results support the advocacy for the institution of public health policies, including screening programs, to identify FH early and to prevent its global burden.
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Affiliation(s)
- Pengwei Hu
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
- Department of Health Service, Logistics University of People’s Armed Police Force, Tianjin, China (P.H.)
| | - Kanika I. Dharmayat
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Christophe A.T. Stevens
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Mansour T.A. Sharabiani
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Rebecca S. Jones
- School of Public Health, and Charing Cross Campus Library (R.S.J.), Imperial College London, UK
| | - Gerald F. Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth (G.F.W.)
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Australia (G.F.W.)
| | - Jacques Genest
- McGill University Health Center, Montreal, QC, Canada (J.G.)
| | - Kausik K. Ray
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Antonio J. Vallejo-Vaz
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
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86
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Worldwide Prevalence of Familial Hypercholesterolemia. J Am Coll Cardiol 2020; 75:2553-2566. [DOI: 10.1016/j.jacc.2020.03.057] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/18/2020] [Accepted: 03/23/2020] [Indexed: 12/11/2022]
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87
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Jackson CL, Ahmad Z, Das SR, Khera A. The evaluation and management of patients with LDL-C ≥ 190 mg/dL in a large health care system. Am J Prev Cardiol 2020; 1:100002. [PMID: 34327446 PMCID: PMC8315478 DOI: 10.1016/j.ajpc.2020.100002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 03/26/2020] [Accepted: 03/27/2020] [Indexed: 01/12/2023] Open
Abstract
Objectives Patients with severe hyperlipidemia (low-density lipoprotein-cholesterol (LDL-C) ≥190 mg/dL) have a significantly increased risk of cardiovascular disease (CVD) and are more likely to have familial hypercholesterolemia (FH). We sought to determine how often health care providers recognize the implications of and adjust therapy for an LDL-C ≥190 mg/dL. Methods We conducted a retrospective review of patients with an LDL-C measurement in the medical record of a large health care system between November 2015 and June 2016. Patients were restricted to those with LDL-C ≥190 mg/dL and without secondary causes of dyslipidemia, with sensitivity analyses for those with LDL-C ≥220 mg/dL. Results Of 27,963 patients, 227 had LDL-C ≥190 mg/dL. Only 21% were on a statin at the time of LDL-C measurement. More than 90% had a follow-up clinic visit, but 41% had no change in treatment. FH was only included in the differential for 14%. The presence/absence of a family history of dyslipidemia, myocardial infarction, and premature CVD were documented in 26%, 29%, and 31%. Only 20.7% and 22.1% had documentation of the presence or absence of tendinous xanthomas or corneal arcus, respectively. Among those without prior specialist care (cardiologist or endocrinologist), only 13% were referred. These measures were only slightly better for those with LDL-C ≥220 mg/dL. Conclusion In a large health care system, the possibility of FH was rarely acknowledged in those with residual LDL-C ≥190 mg/dL, few were referred to specialists, and therapeutic adjustments were suboptimal. Additional efforts are required to understand barriers to improving the evaluation and management of patients with LDL-C ≥190 mg/dL.
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Affiliation(s)
| | - Zahid Ahmad
- Division of Nutrition and Metabolic Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sandeep R Das
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Amit Khera
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Liu Q, Huang YJ, Zhao L, Wang W, Liu S, He GP, Liao L, Zeng Y. Association between knowledge and risk for cardiovascular disease among older adults: A cross-sectional study in China. Int J Nurs Sci 2020; 7:184-190. [PMID: 32685615 PMCID: PMC7355188 DOI: 10.1016/j.ijnss.2020.03.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 02/16/2020] [Accepted: 03/25/2020] [Indexed: 12/19/2022] Open
Abstract
Objectives This study aimed to describe cardiovascular risk and cardiovascular disease (CVD) knowledge among older adults, and further explore the association between knowledge and risk. Methods In this cross-sectional study, we enrolled 1120 older adults who received physical examination in health centers. The participants were interviewed to obtain their behavioral risk factors related to CVD and clinical characteristics. A risk prediction chart was used to predict participants’ cardiovascular risk based on clinical characteristics and behavioral risk factors. Participants’ CVD knowledge was collected with a pretested knowledge questionnaire. Results Among the 1120 participants, 240 (21.4%) had low cardiovascular risk, 353 (31.5%) had moderate cardiovascular risk, 527 (47%) had high and very high cardiovascular risk. The knowledge level about CVD among 0.8% of the 1120 participants was good while that of 56.9% was poor. Lower CVD knowledge level, older age, lower income, and lower educational level were the independent factors of higher cardiovascular risk level. Conclusions This study highlights the need to reduce the cardiovascular risk among older adults. CVD knowledge should be considered when developing health interventions.
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Affiliation(s)
- Qi Liu
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Yan-Jin Huang
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Ling Zhao
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Wen Wang
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Shan Liu
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Guo-Ping He
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Li Liao
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Ying Zeng
- School of Nursing, University of South China, Hengyang, Hunan, China
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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: 4993] [Impact Index Per Article: 1248.3] [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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90
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Cao YX, Zhou BY, Sun D, Li S, Guo YL, Zhu CG, Wu NQ, Gao Y, Xu RX, Liu G, Dong Q, Li JJ. Differences in phenotype, genotype and cardiovascular events between patients with probable and definite heterozygous familial hypercholesterolemia. Per Med 2019; 16:467-478. [PMID: 31691639 DOI: 10.2217/pme-2018-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: To investigated the potential differences between probable and definite heterozygous familial hypercholesterolemia (HeFH) patients diagnosed by Dutch Lipid Clinic Network criteria. Methods: Clinical characteristics, lipid profile, severity of coronary artery stenosis and gene mutations were compared. Kaplan-Meier curve was performed to evaluate the cardiovascular events. Results: Overall, 325 participants were included and divided into two groups: probable (n = 233) and definite HeFH (n = 92). Definite HeFH patients had higher low-density lipoprotein cholesterol (LDL-C), oxidized-LDL and proprotein convertase subtilisin/kexin 9 levels, and higher prevalence of tendon xanthomas. The incidence of genetic mutations was statistically higher in definite HeFH than probable HeFH patients. The coronary stenosis calculated by Gensini score was statistically severer in definite HeFH patients. The best LDL-C threshold for predicting mutations was 5.14 mmol/l. Definite HeFH had lower event-free survival rates. Conclusion: Definite HeFH patients had higher severity of phenotype and genotype, and higher risk of cardiovascular events.
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Affiliation(s)
- Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Bing-Yang Zhou
- Department of Cardiology, Tianjin Chest Hospital, Tianjin Institute of Cardiovascular Diseases, Tianjin 300222, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Sha Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Rui-Xia Xu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
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91
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Miname MH, Santos RD. Reducing cardiovascular risk in patients with familial hypercholesterolemia: Risk prediction and lipid management. Prog Cardiovasc Dis 2019; 62:414-422. [PMID: 31669498 DOI: 10.1016/j.pcad.2019.10.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 10/23/2019] [Indexed: 01/17/2023]
Abstract
Familial hypercholesterolemia (FH) is a frequent genetic disorder characterized by elevated low-density lipoprotein (LDL)-cholesterol (LDL-C) levels and early onset of atherosclerotic cardiovascular disease. FH is caused by mutations in genes that regulate LDL catabolism, mainly the LDL receptor (LDLR), apolipoprotein B (APOB) and gain of function of proprotein convertase subtilisin kexin type 9 (PCSK9). However, the phenotype may be encountered in individuals not carrying the latter monogenic defects, in approximately 20% of these effects of polygenes predominate, and in many individuals no molecular defects are encountered at all. These so-called FH phenocopy individuals have an elevated atherosclerotic cardiovascular disease risk in comparison with normolipidemic individuals but this risk is lower than in those with monogenic disease. Individuals with FH are exposed to elevated LDL-C levels since birth and this explains the high cardiovascular, mainly coronary heart disease, burden of these subjects. However, recent studies show that this risk is heterogenous and depends not only on high LDL-C levels but also on presence of previous cardiovascular disease, a monogenic cause, male sex, smoking, hypertension, diabetes, low HDL-cholesterol, obesity and elevated lipoprotein(a). This heterogeneity in risk can be captured by risk equations like one from the SAFEHEART cohort and by detection of subclinical coronary atherosclerosis. High dose high potency statins are the main stain for LDL-C lowering in FH, however, in most situations these medications are not powered enough to reduce cholesterol to adequate levels. Ezetimibe and PCSK9 inhibitors should also be used in order to better treat LDL-C in FH patients.
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Affiliation(s)
- Marcio H Miname
- Lipid Clinic Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
| | - Raul D Santos
- Lipid Clinic Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil; Hospital Israelita Albert Einstein, Sao Paulo, Brazil.
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93
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Ginsburg GS, Wu RR, Orlando LA. Family health history: underused for actionable risk assessment. Lancet 2019; 394:596-603. [PMID: 31395442 PMCID: PMC6822265 DOI: 10.1016/s0140-6736(19)31275-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 04/04/2019] [Accepted: 05/16/2019] [Indexed: 01/04/2023]
Abstract
Family health history (FHH) is the most useful means of assessing risk for common chronic diseases. The odds ratio for risk of developing disease with a positive FHH is frequently greater than 2, and actions can be taken to mitigate risk by adhering to screening guidelines, genetic counselling, genetic risk testing, and other screening methods. Challenges to the routine acquisition of FHH include constraints on provider time to collect data and the difficulty in accessing risk calculators. Disease-specific and broader risk assessment software platforms have been developed, many with clinical decision support and informatics interoperability, but few access patient information directly. Software that allows integration of FHH with the electronic medical record and clinical decision support capabilities has provided solutions to many of these challenges. Patient facing, electronic medical record, and web-enabled FHH platforms have been developed, and can provide greater identification of risk compared with conventional FHH ascertainment in primary care. FHH, along with cascade screening, can be an important component of population health management approaches to overall reduction of risk.
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Affiliation(s)
- Geoffrey S Ginsburg
- Duke Center for Applied Genomics & Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - R Ryanne Wu
- Duke Center for Applied Genomics & Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Durham Veteran Affairs Cooperative Studies Program Epidemiology Center, Durham, NC, USA
| | - Lori A Orlando
- Duke Center for Applied Genomics & Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Peterson JF, Roden DM, Orlando LA, Ramirez AH, Mensah GA, Williams MS. Building evidence and measuring clinical outcomes for genomic medicine. Lancet 2019; 394:604-610. [PMID: 31395443 PMCID: PMC6730663 DOI: 10.1016/s0140-6736(19)31278-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 04/08/2019] [Accepted: 05/16/2019] [Indexed: 12/13/2022]
Abstract
Human genomic sequencing has potential diagnostic, prognostic, and therapeutic value across a wide breadth of clinical disciplines. One barrier to widespread adoption is the paucity of evidence for improved outcomes in patients who do not already have an indication for more focused testing. In this Series paper, we review clinical outcome studies in genomic medicine and discuss the important features and key challenges to building evidence for next generation sequencing in the context of routine patient care.
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Affiliation(s)
- Josh F Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Dan M Roden
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori A Orlando
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Andrea H Ramirez
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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Moonesinghe R, Yang Q, Zhang Z, Khoury MJ. Prevalence and Cardiovascular Health Impact of Family History of Premature Heart Disease in the United States: Analysis of the National Health and Nutrition Examination Survey, 2007-2014. J Am Heart Assoc 2019; 8:e012364. [PMID: 31303097 PMCID: PMC6662130 DOI: 10.1161/jaha.119.012364] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Because family history is a known risk factor for heart disease, it is important to characterize its public health impact in terms of population prevalence of family history of heart disease, the burden of heart disease attributable to family history, and whether family history interacts with modifiable risk factors for heart disease. Methods and Results We used population data from NHANES (the National Health and Nutrition Examination Survey [2007–2014]) to measure the association of self‐reported family history of premature heart disease (FHPHD) with cardiovascular disease (n=19 253) and to examine the association between cardiovascular health metrics and FHPHD (n=16 248). Using logistic regression and multivariable adjustment, family history odds ratios were 5.91 (95% CI, 3.34–10.44) for ages 20 to 39, 3.02 (95% CI, 2.41–3.79) for ages 40 to 59, and 1.87 (95% CI, 1.54–2.28) for age ≥60 for cardiovascular disease. The prevalence of cardiovascular disease for the population with a FHPHD (15.72%; 95% CI, 13.81–17.64) was more than double the prevalence of cardiovascular disease for those without a family history (6.25%; 95% CI, 5.82–6.69). Compared with participants with optimum cardiovascular health, the prevalence ratio for FHPHD was 1.98 (95% CI, 1.40–2.79) for those with inadequate cardiovascular health. Conclusions Millions of people who are at high risk of having cardiovascular disease could be identified using FHPHD. FHPHD can become an important component of public health campaigns that address modifiable risk factors that plan to reduce the overall risk of heart disease.
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Affiliation(s)
- Ramal Moonesinghe
- 1 Office of Minority Health and Health Equity Centers for Disease Control and Prevention Atlanta GA
| | - Quanhe Yang
- 2 Division for Heart Disease and Stroke Prevention National Center for Chronic Disease Prevention and Health Promotion Atlanta GA
| | - Zefeng Zhang
- 2 Division for Heart Disease and Stroke Prevention National Center for Chronic Disease Prevention and Health Promotion Atlanta GA
| | - Muin J Khoury
- 3 Office of Public Health Genomics Centers for Disease Control and Prevention Atlanta GA
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96
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Gidding SS, Robinson J. It Is Now Time to Focus on Risk Before Age 40. J Am Coll Cardiol 2019; 74:342-345. [DOI: 10.1016/j.jacc.2019.04.064] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 04/02/2019] [Indexed: 11/29/2022]
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97
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Daniels SR. Screening for Familial Hypercholesterolemia. JAMA Cardiol 2019; 4:689-690. [PMID: 31116353 DOI: 10.1001/jamacardio.2019.1509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora.,Children's Hospital Colorado, Aurora
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98
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Familial Hypercholesterolemia Among Young Adults With Myocardial Infarction. J Am Coll Cardiol 2019; 73:2439-2450. [DOI: 10.1016/j.jacc.2019.02.059] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 02/03/2019] [Accepted: 02/05/2019] [Indexed: 12/13/2022]
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Chen TL, Yeh CC, Lin CS, Shih CC, Liao CC. Effects of red yeast rice prescription (LipoCol Forte) on adverse outcomes of surgery. QJM 2019; 112:253-259. [PMID: 30496589 DOI: 10.1093/qjmed/hcy278] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 11/04/2018] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The influence of red yeast rice (RYR) on perioperative outcome remains unknown. AIM We aimed to compare the complications and mortality after surgery between patients treated with and without RYR prescription. DESIGN In this surgical cohort study of 3.6 million surgical patients who underwent major inpatient surgeries, 2581 patients who used RYR prescription pre-operatively were compared with 25 810 non-RYR patients selected by matching for age and sex. METHODS Patients' demographics and medical conditions were collected from the claims data of the National Health Insurance in Taiwan. Complications and mortality after major surgeries in association with RYR prescription were investigated by calculating adjusted odds ratios (ORs) and 95% confidence intervals (CIs) by multiple logistic regression. RESULTS Compared with patients without RYR prescription, patients prescribed RYR had lower risks of post-operative bleeding (OR 0.36, 95% CI 0.15-0.89), pneumonia (OR 0.54, 95% CI 0.36-0.83), stroke (OR 0.66, 95% CI 0.47-0.92) and 30-day in-hospital mortality (OR 0.37, 95% CI 0.15-0.92). Decreased risk of intensive care (OR 0.64, 95% CI 0.54-0.77), shorter length of hospital stay (P < 0.001) and lower medical expenditures (P = 0.0008) during the index surgical admission were also noted for patients with RYR prescription compared to those for patients without RYR prescription. CONCLUSIONS This study showed a potentially positive effect of RYR on outcomes after major surgeries. However, patient non-compliance for taking medication should be noted. Our findings require future prospective studies to validate RYR prescription for improving perioperative outcomes.
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Affiliation(s)
- T-L Chen
- From the Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan
- Anesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - C-C Yeh
- Department of Surgery, China Medical University Hospital, Taichung, Taiwan
- Department of Surgery, University of Illinois, Chicago, IL, USA
| | - C-S Lin
- From the Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan
- Anesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - C-C Shih
- School of Chinese Medicine for Post-Baccalaureate, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- Ph.D. Program for the Clinical Drug Discovery from Botanical Herbs, College of Pharmacy, Taipei Medical University, Taipei 110, Taiwan
| | - C-C Liao
- From the Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan
- Anesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
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100
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Bérard E, Bongard V, Haas B, Dallongeville J, Moitry M, Cottel D, Ruidavets JB, Ferrières J. Prevalence and Treatment of Familial Hypercholesterolemia in France. Can J Cardiol 2019; 35:744-752. [PMID: 31151710 DOI: 10.1016/j.cjca.2019.02.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/07/2019] [Accepted: 02/10/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is known to be underdiagnosed and undertreated. The prevalence of heterozygous FH is estimated to be 1 in 500. Nevertheless, a recent meta-analysis of screening in the general population seems to show that the prevalence of FH is more likely to be 1 in 250. METHODS Analysis was based on the third French MONICA and MONALISA population surveys. Participants were randomly recruited in 1995 and 2005 from the general population of 3 regions of France. FH was diagnosed using a modified version of the Dutch Lipid Clinic Network (DLCN) without genetic testing. RESULTS The DLCN score was assessed in 7928 participants aged 35 to 74 years; 50% were men. The prevalence of definite or probable FH was 0.85% (95% CI, 0.63-1.06). Among patients with definite or probable FH, 12% had histories of premature cardiovascular disease (vs less than 1% among subjects without FH; P < 0.0001), 70% were treated (13% with high-intensity, 83% with moderate-intensity, and 4% with low-intensity statin therapy), 90% had cholesterol screening within the past 12 months, and 97% were aware of their hypercholesterolemia. None reached the recommended low-density lipoprotein cholesterol (LDL-C) target (< 2.5 or < 1.8 mmol/L for subjects in primary prevention vs in secondary prevention or with diabetes, respectively), with a mean distance to target of 3.0 mmol/L. CONCLUSIONS In a sample from the French general population aged 35 to 74 years, the prevalence of FH was close to 1 in 120, and the patients with FH were undertreated.
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Affiliation(s)
- Emilie Bérard
- Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM- Toulouse University, Toulouse University Hospital, Toulouse, France
| | - Vanina Bongard
- Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM- Toulouse University, Toulouse University Hospital, Toulouse, France
| | - Bernadette Haas
- Department of Public Health, Strasbourg University Hospital, Strasbourg, France
| | - Jean Dallongeville
- INSERM, Lille University Hospital, Pasteur Institute of Lille, Lille, France
| | - Marie Moitry
- Department of Public Health, Strasbourg University Hospital, Strasbourg, France
| | - Dominique Cottel
- INSERM, Lille University Hospital, Pasteur Institute of Lille, Lille, France
| | - Jean-Bernard Ruidavets
- Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM- Toulouse University, Toulouse University Hospital, Toulouse, France
| | - Jean Ferrières
- Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM- Toulouse University, Toulouse University Hospital, Toulouse, France; Department of Cardiology B, Toulouse University Hospital, Toulouse, France.
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