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Zhou H, Wang X, She Z, Huang L, Wei H, Yang S, Wei Z, Chen H, Yang B, Hu Z, Feng X, Zhu P, Li Z, Shen J, Liu H, Dong H, Chen G, Zhang Q. Combining bioinformatics and multiomics strategies to investigate the key microbiota and active components of Liupao tea ameliorating hyperlipidemia. JOURNAL OF ETHNOPHARMACOLOGY 2024; 333:118438. [PMID: 38848972 DOI: 10.1016/j.jep.2024.118438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 05/27/2024] [Accepted: 06/05/2024] [Indexed: 06/09/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Hyperlipidemia as a major health issue has attracted much public attention. As a geographical indication product of China, Liupao tea (LPT) is a typical representative of traditional Chinese dark tea that has shown good potential in regulating glucose and lipid metabolism. LPT has important medicinal value in hyperlipidemia prevention. However, the active ingredients and metabolic mechanisms by which LPT alleviates hyperlipidemia remain unclear. AIM OF THE STUDY This study aimed to systematically investigate the metabolic mechanisms and active ingredients of LPT extract in alleviating hyperlipidemia. MATERIALS AND METHODS Firstly, we developed a mouse model of hyperlipidemia to study the pharmacodynamics of LPT. Subsequently, network pharmacology and molecular docking were performed to predict the potential key active ingredients and core targets of LPT against hyperlipidemia. LC-MS/MS was used to validate the identity of key active ingredients in LPT with chemical standards. Finally, the effect and metabolic mechanisms of LPT extract in alleviating hyperlipidemia were investigated by integrating metabolomic, lipidomic, and gut microbiome analyses. RESULTS Results showed that LPT extract effectively improved hyperlipidemia by suppressing weight gain, remedying dysregulation of glucose and lipid metabolism, and reducing hepatic damage. Network pharmacology analysis and molecular docking suggested that four potential active ingredients and seven potential core targets were closely associated with roles for hyperlipidemia treatment. Ellagic acid, catechin, and naringenin were considered to be the key active ingredients of LPT alleviating hyperlipidemia. Additionally, LPT extract modulated the mRNA expression levels of Fxr, Cyp7a1, Cyp8b1, and Cyp27a1 associated with bile acid (BA) metabolism, mitigated the disturbances of BA and glycerophospholipid (GP) metabolism in hyperlipidemia mice. Combining fecal microbiota transplantation and correlation analysis, LPT extract effectively improved species diversity and abundance of gut microbiota, particularly the BA and GP metabolism-related gut microbiota, in the hyperlipidemia mice. CONCLUSIONS LPT extract ameliorated hyperlipidemia by modulating GP and BA metabolism by regulating Lactobacillus and Dubosiella, thereby alleviating hyperlipidemia. Three active ingredients of LPT served as the key factors in exerting an improvement on hyperlipidemia. These findings provide new insights into the active ingredients and metabolic mechanisms of LPT in improving hyperlipidemia, suggesting that LPT can be used to prevent and therapeutic hyperlipidemia.
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Affiliation(s)
- Hailin Zhou
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Xuancheng Wang
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Zhiyong She
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Li Huang
- College of Light Industry and Food Engineering, Guangxi University, Guangxi, China.
| | - Huijie Wei
- College of Light Industry and Food Engineering, Guangxi University, Guangxi, China.
| | - Shanyi Yang
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Zhijuan Wei
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Hongwei Chen
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Bao Yang
- Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases, Hubei Minzu University, Hubei, China.
| | - Zehua Hu
- Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases, Hubei Minzu University, Hubei, China.
| | - Xue Feng
- Center for Instrumental Analysis, Guangxi University, Guangxi, China.
| | - Pingchuan Zhu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Guangxi, China.
| | - Zijian Li
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Jiahui Shen
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Huan Liu
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Huanxiao Dong
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China.
| | - Guanghui Chen
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Guangxi, China.
| | - Qisong Zhang
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Guangxi, China; Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases, Hubei Minzu University, Hubei, China; Center for Instrumental Analysis, Guangxi University, Guangxi, China.
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Colombo D, Mercurio V, Klersy C, Temporelli P, Rossi A, Carluccio E, La Rovere MT, Dini FLL, Nappi R, Acquaro M, Greco A, Turco A, Schirinzi S, Scelsi L, Ghio S. The influence of sex on heart failure mortality. J Cardiovasc Med (Hagerstown) 2024; 25:693-699. [PMID: 39083064 DOI: 10.2459/jcm.0000000000001656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2024]
Abstract
AIMS Little research has investigated how sex may affect the prognosis of patients with chronic heart failure (HF). The present study was aimed at exploring sex-specific differences in prognosis in a cohort of patients with chronic HF, categorized according to severity of left ventricular dysfunction (HFrEF, HFmrEF and HFpEF), right ventricular (RV) dysfunction and ischemic (IHD) or nonischemic (no-IHD) etiology. METHODS This retrospective analysis included 1640 HF patients of whom 24% were females, 759 patients had IHD, 1110 patients had HFrEF, 147 patients had HFmrEF and 383 patients had HFpEF. The median follow-up period was 63 months (25th-75th 27-93). RESULTS In the no-IHD group, no statistically significant sex differences emerged regarding survival, regardless of age and severity of cardiac dysfunction. In contrast, in the IHD group, females had a significantly lower event rate than males in the age group between 65 and 79 years [hazard ratio (HR) 0.39; 95% confidence interval (CI): 0.86-0.18; P < 0.01]; in addition, a lower event rate was observed in females compared with males among patients with HFrEF (HR 0.47; 95% CI: 0.88-0.25; P < 0.01), among patients without RV dysfunction (HR 0.58; 95% CI: 1.02-0.33; P = 0.048) and among patients without diabetes (HR 0.44; 95% CI: 0.84-0.23; P < 0.01). CONCLUSION In nonischemic patients there was no difference between males and females in terms of survival whereas in patients with ischemic etiology survival was better in females among elderly patients, in HFrEF patients, in the absence of RV dysfunction and in the absence of diabetes.
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Affiliation(s)
- Davide Colombo
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Valentina Mercurio
- Department of Translational Medical Sciences, 'Federico II' University, Naples
| | - Catherine Klersy
- Biostatistics and Clinical Trial Center - Fondazione IRCCS Policlinico S Matteo
| | - Pierluigi Temporelli
- Istituti Clinici Scientifici Maugeri, IRCCS, Department of Cardiology, Istituto Scientifico di Veruno, Novara
| | | | - Erberto Carluccio
- Cardiology and Cardiovascular Pathophysiology, S. Maria della Misericordia Hospital, University of Perugia, Perugia
| | - Maria Teresa La Rovere
- Istituti Clinici Scientifici Maugeri, IRCCS, Department of Cardiology, Istituto Scientifico di Montescano, Pavia
| | | | - Rossella Nappi
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. Research Center for Reproductive Medicine, Gynecological Endocrinology and Menopause, IRCCS San Matteo Foundation, Pavia, Italy
| | - Mauro Acquaro
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Alessandra Greco
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Annalisa Turco
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Sandra Schirinzi
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Laura Scelsi
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
| | - Stefano Ghio
- Division of Cardiology - Fondazione IRCCS Policlinico S Matteo, Pavia
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Sun R, Guo Q, Li H, Liu X, Jiang Y, Wang J, Zhang Y. Development and validation of a nomogram for premature coronary artery disease patients in Guangzhou. IJC HEART & VASCULATURE 2024; 53:101457. [PMID: 39228975 PMCID: PMC11368598 DOI: 10.1016/j.ijcha.2024.101457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/29/2024] [Accepted: 07/01/2024] [Indexed: 09/05/2024]
Abstract
Background Data regarding risk factors for premature coronary artery disease (PCAD) is scarce given that few research focus on it. This study aimed to develop and validate a clinical nomogram for PCAD patients in Guangzhou. Methods We recruited 108 PCAD patients (female ≤65 years old and male ≤55 years old) and 96 healthy controls from Sun Yat-sen Memorial Hospital of Sun Yat-sen University between 01/01/2021 and 31/12/2022. Twenty potentially relevant indicators of PCAD were extracted. Next, the least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection. The nomogram was developed based on the selected variables visually. Results Independent risk factors, including body mass index (BMI), history of PCAD, glucose, Apolipoprotein A1(ApoA1), high density lipoprotein 2-cholesterol (HDL2-C), total cholesterol and triglyceride, were identified by LASSO and logistic regression analysis. The nomogram showed accurate discrimination (area under the receiver operator characteristic curve, ROC, 87.45 %, 95 % CI: 82.58 %-92.32 %). Decision curve analysis (DCA) suggested that the nomogram was clinical beneficial. HDL2, one risk factor, was isolated by a two-step discontinuous density-gradient ultracentrifugation method. And HDL2 from PCAD patients exhibited less 3H-cholesterol efflux (22.17 % vs 26.64 %, P < 0.05) and less delivery of NBD-cholesterol detecting by confocal microscope compared with healthy controls. Conclusions In conclusion, the seven-factor nomogram can achieve a reasonable relationship with PCAD, and a large cohort were needed to enhance the credibility and effectiveness of our model in future.
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Affiliation(s)
- Runlu Sun
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Qi Guo
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Hongwei Li
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Xiao Liu
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Yuan Jiang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Jingfeng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
| | - Yuling Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Guangzhou, China
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You FF, Gao J, Gao YN, Li ZH, Shen D, Zhong WF, Yang J, Wang XM, Song WQ, Yan H, Yan HY, Xie JH, Chen H, Mao C. Association between atherogenic index of plasma and all-cause mortality and specific-mortality: a nationwide population‑based cohort study. Cardiovasc Diabetol 2024; 23:276. [PMID: 39068437 PMCID: PMC11283706 DOI: 10.1186/s12933-024-02370-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP), a marker of atherosclerosis and cardiovascular disease (CVD). However, few studies have investigated association between AIP and all-cause mortality and specific-mortality in the general population. METHODS This study included data from 14,063 American adults. The exposure variable was the AIP, which was defined as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included all-cause mortality and specific-mortality. Survey-weighted cox regressions were performed to evaluate the relation between AIP and all-cause mortality and specific-mortality. Weighted restricted cubic spline was conducted to examin the non-linear relationship. RESULTS During 10 years of follow-up, we documented 2,077, 262, 854, and 476 cases of all-cause mortality, diabetes mortality, CVD mortality and cancer mortality, respectively. After adjustment for potential confounders, we found that atherogenic index of plasma (AIP) was significantly associated with an increased risk of diabetes mortality when comparing the highest to the lowest quantile of AIP in female (p for trend = 0.001) or participants older than 65 years (p for trend = 0.002). AIP was not significantly associated with all-cause mortality, CVD mortality and cancer mortality (p > 0.05). Moreover, a non-linear association was observed between AIP and all-cause mortality in a U-shape (p for non-linear = 0.0011), while a linear relationship was observed with diabetes mortality and non-diabetes mortality (p for linear < 0.0001). CONCLUSIONS In this study, there is a no significant association between high AIP levels and a high risk of all-cause and cardiovascular mortality. Besides, a higher AIP was significantly associated with an increased risk of diabetes mortality, which only found in women older than 65 years. AIP was associated with all-cause mortality in a U-shape. This association could be explained by the finding that higher AIP predicted a higher risk of death from diabetes, and that lower AIP predicted a higher risk of death from non-diabetes causes.
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Affiliation(s)
- Fang-Fei You
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Jian Gao
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
- Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yi-Ning Gao
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Dong Shen
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Wen-Fang Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Jin Yang
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Xiao-Meng Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Wei-Qi Song
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Hao Yan
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Hao-Yu Yan
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Jia-Hao Xie
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Huan Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, 1838 Guangzhou North Road, Guangzhou, 510515, Guangdong, China.
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Hu S, Lei Z, Wang Y, Ren L. Awareness of risk factors for cerebrovascular diseases among acute ischemic stroke patients in Shenzhen, China. Neurol Res 2024:1-8. [PMID: 39056400 DOI: 10.1080/01616412.2024.2381161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 07/11/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND AND PURPOSE Unawareness of the risk factors is one of the most important issues that need to be settled for stroke prevention. We aimed to evaluate the awareness of risk factors for cerebrovascular diseases (CVDs) among acute ischemic stroke patients and to investigate the characteristics of patients who were unaware of their risk factors in Shenzhen, China. METHODS Registered data on awareness of CVD risk factors of patients with confirmed acute ischemic stroke (AIS) from June 2020 to December 2022 were analyzed in May 2023. The data were extracted from the database of Shenzhen Quality Control Center for Management of Cerebrovascular Diseases. RESULTS Totally, there were 5147 AIS patients with complete data eligible for this study. AIS patients' awareness regarding existing hypertension, diabetes, dyslipidemia, and atrial fibrillation (AF) was 76.1%, 76.2%, 24.2%, and 53.4%, respectively. Patients who were lack of awareness of the CVD risk factors were more likely to be males, individuals with younger ages, and those without medical insurance or a CVD history. CONCLUSIONS The overall awareness of the CVD risk factors was suboptimal among AIS patients in Shenzhen, especially for the existing dyslipidemia. The health education of AIS should be further improved in males as well as individuals without medical insurance or any CVD histories. Age was an independent factor associated with the lack of awareness of the CVD risk factors. The stroke screening program should be extended to younger people.
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Affiliation(s)
- Shiyu Hu
- Neurology department of Shenzhen Seocnd People's Hospital/First Affiliated Hospital of Shenzhen, University Health Science Center, Shenzhen, China
| | | | - Yang Wang
- Neurology department of Shenzhen Seocnd People's Hospital/First Affiliated Hospital of Shenzhen, University Health Science Center, Shenzhen, China
| | - Lijie Ren
- Neurology department of Shenzhen Seocnd People's Hospital/First Affiliated Hospital of Shenzhen, University Health Science Center, Shenzhen, China
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Woods RH. Postmarketing Reports of Incomplete Dosing-Related Complications with Self-Injected PCSK9 Inhibitors: A Descriptive Study and Disproportionality Analysis. BioDrugs 2024; 38:589-600. [PMID: 38874875 DOI: 10.1007/s40259-024-00664-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Evolocumab and alirocumab are self-injected proprotein convertase subtilisin kexin type 9 (PCSK9) inhibitors indicated for low-density lipoprotein cholesterol reduction. Complications in the use or functionality of self-injection devices may precipitate incomplete dosing. OBJECTIVE This study sought to characterize postmarketing dosing failure reports involving self-injected PCSK9 inhibitors. METHODS US Food and Drug Administration Adverse Event Reporting System (FAERS) [2016-second quarter of 2023] data were utilized for a disproportionality analysis. Eight self-injected comparator medications served as referents. Medical Dictionary for Regulatory Activities preferred terms indicating explicit or probable failure to administer a complete dose classified cases. Proportional reporting ratios (PRRs) > 2.0 and lower 95% confidence intervals (CIs) > 1.0 indicated disproportionality signals. US FDA Manufacturer and User Facility Device Experience (MAUDE) [2013-2023] data underwent a narrative review. RESULTS During the study period, 194,781 (evolocumab, n = 152,831; alirocumab, n = 41,950) drug-event pairs and 43,725 (evolocumab, n = 38,489; alirocumab, n = 5236) cases reported to FAERS identified PCSK9 inhibitors. MAUDE contained six evolocumab reports, half describing dose omission, and no alirocumab reports. A potential dosing failure signal was detected for evolocumab (PRR 2.01; 95% CI 1.98-2.03), but not alirocumab (PRR 0.99; 95% CI 0.97-1.02), relative to pooled comparator reports. Across three case term subcategories, incomplete dosing disproportionality signals were further identified for evolocumab patient usage complication terms (PRR 3.44; 95% CI 3.38-3.50) and alirocumab device malfunction terms (PRR 2.09; 95% CI 1.98-2.22). CONCLUSIONS Proprotein convertase subtilisin kexin type 9 inhibitor incomplete dosing-related complications are frequently reported in the postmarketing setting. Systematic efforts to understand the incidence and mechanisms of dosing failure and associated patient burdens are needed.
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Affiliation(s)
- Richard H Woods
- Levin, Papantonio, Rafferty, Proctor, Buchanan, O'Brien, Barr and Mougey, P.A., 316 South Baylen Street, Pensacola, FL, 32502, USA.
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Hendy LE, Spees LP, Tak C, Carpenter DM, Thomas KC, Roberts MC. An evaluation of the cost-effectiveness of population genetic screening for familial hypercholesterolemia in US patients. Atherosclerosis 2024; 393:117541. [PMID: 38677159 DOI: 10.1016/j.atherosclerosis.2024.117541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/11/2024] [Accepted: 04/09/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND AND AIMS Familial hypercholesterolemia is an underdiagnosed genetic metabolic condition limiting the clearance of low-density lipoprotein cholesterol and increasing lifetime risk of cardiovascular disease. Population genetic screening in unselected individuals could quickly identify cases of familial hypercholesterolemia and enable early prevention, but the economic impact of widespread screening on patients has not been studied. METHODS We assessed the cost-effectiveness of population genetic screening for familial hypercholesterolemia in 20 and 35-year-old adults in the United States from the perspective of patients. We developed a decision tree Markov hybrid model to examine diagnoses, cardiovascular disease, cardiac events, quality of life, and costs under population genetic screening compared to family-based cascade testing. RESULTS While population genetic screening increased diagnoses and reduced incidence of cardiovascular disease, population genetic screening was not cost-effective compared to cascade testing at current levels of willingness to pay. Lower genetic testing costs, combined screening with other genetic conditions, and support to maintain lipid-lowering therapy use over time could improve the cost-effectiveness of population genetic screening. CONCLUSIONS Future research is needed to examine how cost-sharing strategies may affect the cost-effectiveness of screening to patients and how families and providers experience the clinical and economic outcomes of population screening.
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Affiliation(s)
- Lauren E Hendy
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, USA.
| | - Lisa P Spees
- University of North Carolina at Chapel Hill, Gillings School of Global Public Health, USA
| | - Casey Tak
- University of Utah, College of Pharmacy, USA
| | - Delesha M Carpenter
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, USA
| | - Kathleen C Thomas
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, USA
| | - Megan C Roberts
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, USA
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Feng Y, Lin H, Tan H, Liu X. Life's essential 8 metrics and mortality outcomes in insulin resistance: The role of inflammation, vascular aging, and gender. Clin Nutr ESPEN 2024; 61:131-139. [PMID: 38777424 DOI: 10.1016/j.clnesp.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/19/2024] [Accepted: 03/04/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Insulin resistance (IR) elevates cardiovascular disease (CVD) and mortality risks. Insulin resistance (IR) increases the risk of CVDs and mortality. Recently, the American Heart Association introduced the Life's Essential 8 (LE8) framework to assess cardiovascular health (CVH). However, its impact on mortality in IR populations is unknown. METHODS Analyzing 2005-2018 National Health and Nutrition Examination Survey data, we studied 5301 IR adults (≥20 years). LE8 scores were calculated and participants were categorized into low, moderate, and high CVH groups. Systemic immune-inflammation index (SII) and heart age/vascular age (HVA) were measured as potential mediators. Cox models estimated all-cause and CVD mortality hazard ratios (HRs), stratified by LE8 score and sex, and adjusted for covariates. Mediation analyses assessed SII and HVA's indirect effects. This study is an observational cohort study. RESULTS Over a 7.5-year median follow-up, 625 deaths occurred, including 159 CVD-related. Compared to low CVH, moderate and high CVH groups showed reduced all-cause (HR = 0.72, 95% CI 0.58-0.89; HR = 0.38, 95% CI 0.22-0.67) and CVD mortality (HR = 0.42, 95% CI 0.26-0.69; HR = 0.15, 95% CI 0.04-0.57). A 10-point LE8 increase correlated with 15% and 31% reductions in all-cause and CVD mortality, respectively. SII and HVA mediated up to 38% and 12% of these effects. The LE8's protective effect was more pronounced in men. CONCLUSION LE8 effectively evaluates CVH and lowers mortality risk in IR adults, partially mediated by SII and HVA. The findings inform clinical practice and public health strategies for CVD prevention in IR populations.
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Affiliation(s)
- Yuntao Feng
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Hao Lin
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Hongwei Tan
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
| | - Xuebo Liu
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
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Mszar R, Katz ME, Grandhi GR, Osei AD, Gallo A, Blaha MJ. Subclinical Atherosclerosis to Guide Treatment in Dyslipidemia and Diabetes Mellitus. Curr Atheroscler Rep 2024; 26:217-230. [PMID: 38662272 DOI: 10.1007/s11883-024-01202-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE OF REVIEW Dyslipidemia and type 2 diabetes mellitus are two common conditions that are associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD). In this review, we aimed to provide an in-depth and contemporary review of non-invasive approaches to assess subclinical atherosclerotic burden, predict cardiovascular risk, and guide appropriate treatment strategies. We focused this paper on two main imaging modalities: coronary artery calcium (CAC) score and computed tomography coronary angiography. RECENT FINDINGS Recent longitudinal studies have provided stronger evidence on the relationship between increased CAC, thoracic aorta calcification, and risk of cardiovascular events among those with primary hypercholesterolemia, highlighting the beneficial role of statin therapy. Interestingly, resilient profiles of individuals not exhibiting atherosclerosis despite dyslipidemia have been described. Non-conventional markers of dyslipidemia have also been associated with increased subclinical atherosclerosis presence and burden, highlighting the contribution of apolipoprotein B-100 (apoB)-rich lipoprotein particles, such as remnant cholesterol and lipoprotein(a), to the residual risk of individuals on-target for low-density lipoprotein cholesterol (LDL-C) goals. Regarding type 2 diabetes mellitus, variability in atherosclerotic burden has also been found, and CAC testing has shown significant predictive value in stratifying cardiovascular risk. Non-invasive assessment of subclinical atherosclerosis can help reveal the continuum of ASCVD risk in those with dyslipidemia and diabetes mellitus and can inform personalized strategies for cardiovascular disease prevention in the primary prevention setting.
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Affiliation(s)
- Reed Mszar
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Miriam E Katz
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Gowtham R Grandhi
- Virginia Commonwealth University Health Pauley Heart Center, Richmond, VA, USA
| | - Albert D Osei
- Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Antonio Gallo
- Department of Nutrition, Lipidology and Cardiovascular Prevention Unit, APHP, INSERM UMR1166, Hôpital Pitié-Salpètriêre, Sorbonne Université, Paris, France
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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10
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Cao L, Wu C, Liu M, Zhang W, Chen H, Wang R, He Z. The association between monocyte-to-high-density lipoprotein ratio and hyperuricemia: Results from 2009 to 2018. Medicine (Baltimore) 2024; 103:e37713. [PMID: 38669360 PMCID: PMC11049789 DOI: 10.1097/md.0000000000037713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/04/2024] [Indexed: 04/28/2024] Open
Abstract
Previous research has suggested that the monocyte-to-high-density lipoprotein ratio (MHR), an emerging inflammatory biomarker, holds promise in predicting the prevalence of various cardiovascular and metabolic diseases. However, earlier investigations were constrained by the relatively modest sample sizes. This study endeavored to expand the sample size and conduct a more comprehensive exploration of the potential relationship between MHR and hyperuricemia. This cross-sectional study incorporated data from participants of the 2009 to 2018 National Health and Nutrition Examination Survey (NHANES) with complete and qualifying information. MHR was determined by calculating the ratio between monocyte count and high-density lipoprotein levels. Various statistical methodologies such as weighted multivariate logistic regression, subgroup analysis, smoothed curve fitting, and threshold analysis, have been used to explore the correlation between hyperuricemia and MHR. The study included a cohort of 17,694 participants, of whom 3512 were diagnosed with hyperuricemia. MHR levels were notably higher in the hyperuricemia group than in the normal group, aligning with an elevated body mass index (BMI). A comprehensive multivariate logistic analysis, accounting for all relevant adjustments, revealed a notable positive correlation between MHR and hyperuricemia (P < .001, OR = 1.98, 95% CI: 1.54-2.54). Subgroup analysis indicated that the MHR exhibited an enhanced predictive capacity for identifying hyperuricemia risk, particularly in females (P < .05). Curvilinear and threshold analyses revealed a nonlinear association between MHR and hyperuricemia prevalence, with a notable inflection point at 0.826. In the US population, a clear positive correlation was observed between the MHR and prevalence of hyperuricemia. Importantly, the MHR is a more robust predictor of hyperuricemia risk in females. Further investigations are required to confirm these findings.
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Affiliation(s)
- Lei Cao
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Chunwei Wu
- Department of Endocrinology and Metabolism, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Miao Liu
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Wenlong Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Hailong Chen
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Ruolin Wang
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Ze He
- Department of Endocrinology and Metabolism, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China
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11
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Johnson C, Chen J, McGowan MP, Tricou E, Card M, Pettit AR, Klaiman T, Rader DJ, Volpp KG, Beidas RS. Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial. Implement Sci 2024; 19:30. [PMID: 38594685 PMCID: PMC11003060 DOI: 10.1186/s13012-024-01355-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/25/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is a heritable disorder affecting 1.3 million individuals in the USA. Eighty percent of people with FH are undiagnosed, particularly minoritized populations including Black or African American people, Asian or Asian American people, and women across racial groups. Family cascade screening is an evidence-based practice that can increase diagnosis and improve health outcomes but is rarely implemented in routine practice, representing an important care gap. In pilot work, we leveraged best practices from behavioral economics and implementation science-including mixed-methods contextual inquiry with clinicians, patients, and health system constituents-to co-design two patient-facing implementation strategies to address this care gap: (a) an automated health system-mediated strategy and (b) a nonprofit foundation-mediated strategy with contact from a foundation-employed care navigator. This trial will test the comparative effectiveness of these strategies on completion of cascade screening for relatives of individuals with FH, centering equitable reach. METHODS We will conduct a hybrid effectiveness-implementation type III randomized controlled trial testing the comparative effectiveness of two strategies for implementing cascade screening with 220 individuals with FH (i.e., probands) per arm identified from a large northeastern health system. The primary implementation outcome is reach, or the proportion of probands with at least one first-degree biological relative (parent, sibling, child) in the USA who is screened for FH through the study. Our secondary implementation outcomes include the number of relatives screened and the number of relatives meeting the American Heart Association criteria for FH. Our secondary clinical effectiveness outcome is post-trial proband cholesterol level. We will also use mixed methods to identify implementation strategy mechanisms for implementation strategy effectiveness while centering equity. DISCUSSION We will test two patient-facing implementation strategies harnessing insights from behavioral economics that were developed collaboratively with constituents. This trial will improve our understanding of how to implement evidence-based cascade screening for FH, which implementation strategies work, for whom, and why. Learnings from this trial can be used to equitably scale cascade screening programs for FH nationally and inform cascade screening implementation efforts for other genetic disorders. TRIAL REGISTRATION ClinicalTrials.gov, NCT05750667. Registered 15 February 2023-retrospectively registered, https://clinicaltrials.gov/study/NCT05750667 .
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Affiliation(s)
- Christina Johnson
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jinbo Chen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary P McGowan
- Family Heart Foundation, Fernandina Beach, FL, USA
- Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Eric Tricou
- Family Heart Foundation, Fernandina Beach, FL, USA
| | - Mary Card
- Family Heart Foundation, Fernandina Beach, FL, USA
| | | | - Tamar Klaiman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G Volpp
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
- The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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12
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Zhang Y, de Ferranti SD, Moran AE. Genetic testing for familial hypercholesterolemia. Curr Opin Lipidol 2024; 35:93-100. [PMID: 38299384 PMCID: PMC10932851 DOI: 10.1097/mol.0000000000000925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
PURPOSE OF REVIEW Despite familial hypercholesterolemia (FH) being the most common genetic cause of cardiovascular disease (CVD), genetic testing is rarely utilized in the US. This review summarizes what is known about the clinical utility of genetic testing and its role in the diagnosis and screening of FH. RECENT FINDINGS The presence of an FH-causative variant is associated with a substantially higher risk of CVD, even when low-density lipoprotein cholesterol (LDL-C) levels are only modestly elevated. Genetic testing can facilitate the identification of FH cases who may be missed by clinical diagnostic criteria, improve risk stratification beyond LDL-C and family history, guide treatment decisions, and improve treatment initiation and adherence. Genetic testing can be incorporated into FH screening and diagnosis algorithms, including cascade, targeted, and universal screening. Integrating genetic testing into cascade screening can enhance the effectiveness of the process. Several models of universal FH screening with coordinated genetic and lipid testing are feasible and effective. SUMMARY More systematic integration of genetic testing into FH diagnosis and screening can significantly reduce the burden of this condition through early detection and treatment. Further pragmatic implementation studies are needed to determine how to more effectively and affordably integrate genetic testing into clinical lipid screening programs.
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Affiliation(s)
- Yiyi Zhang
- Division of General Medicine, Columbia University, New York, NY
| | - Sarah D. de Ferranti
- Department of Cardiology, Boston Children’s Hospital, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Andrew E. Moran
- Division of General Medicine, Columbia University, New York, NY
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13
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Bangash H, Saadatagah S, Naderian M, Hamed ME, Alhalabi L, Sherafati A, Sutton J, Elsekaily O, Mir A, Gundelach JH, Gibbons D, Johnsen P, Wood-Wentz CM, Smith CY, Caraballo PJ, Bailey KR, Kullo IJ. Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. NPJ Digit Med 2024; 7:73. [PMID: 38499608 PMCID: PMC10948900 DOI: 10.1038/s41746-024-01069-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/29/2024] [Indexed: 03/20/2024] Open
Abstract
Severe hypercholesterolemia/possible familial hypercholesterolemia (FH) is relatively common but underdiagnosed and undertreated. We investigated whether implementing clinical decision support (CDS) was associated with lower low-density lipoprotein cholesterol (LDL-C) in patients with severe hypercholesterolemia/possible FH (LDL-C ≥ 190 mg/dL). As part of a pre-post implementation study, a CDS alert was deployed in the electronic health record (EHR) in a large health system comprising 3 main sites, 16 hospitals and 53 clinics. Data were collected for 3 months before ('silent mode') and after ('active mode') its implementation. Clinicians were only able to view the alert in the EHR during active mode. We matched individuals 1:1 in both modes, based on age, sex, and baseline lipid lowering therapy (LLT). The primary outcome was difference in LDL-C between the two groups and the secondary outcome was initiation/intensification of LLT after alert trigger. We identified 800 matched patients in each mode (mean ± SD age 56.1 ± 11.8 y vs. 55.9 ± 11.8 y; 36.0% male in both groups; mean ± SD initial LDL-C 211.3 ± 27.4 mg/dL vs. 209.8 ± 23.9 mg/dL; 11.2% on LLT at baseline in each group). LDL-C levels were 6.6 mg/dL lower (95% CI, -10.7 to -2.5; P = 0.002) in active vs. silent mode. The odds of high-intensity statin use (OR, 1.78; 95% CI, 1.41-2.23; P < 0.001) and LLT initiation/intensification (OR, 1.30, 95% CI, 1.06-1.58, P = 0.01) were higher in active vs. silent mode. Implementation of a CDS was associated with lowering of LDL-C levels in patients with severe hypercholesterolemia/possible FH, likely due to higher rates of clinician led LLT initiation/intensification.
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Affiliation(s)
- Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Marwan E Hamed
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lubna Alhalabi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alborz Sherafati
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Joseph Sutton
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Omar Elsekaily
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ali Mir
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Daniel Gibbons
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Paul Johnsen
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | - Carin Y Smith
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Pedro J Caraballo
- Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kent R Bailey
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
- Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.
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14
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Khoja A, Andraweera PH, Lassi ZS, Padhani ZA, Ali A, Zheng M, Pathirana MM, Aldridge E, Wittwer MR, Chaudhuri DD, Tavella R, Arstall MA. Modifiable and Non-Modifiable Risk Factors for Premature Coronary Heart Disease (PCHD): Systematic Review and Meta-Analysis. Heart Lung Circ 2024; 33:265-280. [PMID: 38365496 DOI: 10.1016/j.hlc.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 02/18/2024]
Abstract
AIM We aimed to compare the prevalence of modifiable and non-modifiable coronary heart disease (CHD) risk factors among those with premature CHD and healthy individuals. METHODS PubMed, CINAHL, Embase, and Web of Science databases were searched (review protocol is registered in PROSPERO CRD42020173216). The quality of studies was assessed using the National Heart, Lung and Blood Institute tool for cross-sectional, cohort and case-control studies. Meta-analyses were performed using Review Manager 5.3. Effect sizes for categorical and continuous variables, odds ratio (OR) and mean differences (MD)/standardised mean differences (SMD) with 95% confidence intervals (CI) were reported. RESULTS A total of n=208 primary studies were included in this review. Individuals presenting with premature CHD (PCHD, age ≤65 years) had higher mean body mass index (MD 0.54 kg/m2, 95% CI 0.24, 0.83), total cholesterol (SMD 0.27, 95% CI 0.17, 0.38), triglycerides (SMD 0.50, 95% CI 0.41, 0.60) and lower high-density lipoprotein cholesterol (SMD 0.79, 95% CI: -0.91, -0.68) compared with healthy individuals. Individuals presenting with PCHD were more likely to be smokers (OR 2.88, 95% CI 2.51, 3.31), consumed excessive alcohol (OR 1.40, 95% CI 1.05, 1.86), had higher mean lipoprotein (a) levels (SMD 0.41, 95% CI 0.28, 0.54), and had a positive family history of CHD (OR 3.65, 95% CI 2.87, 4.66) compared with healthy individuals. Also, they were more likely to be obese (OR 1.59, 95% CI 1.32, 1.91), and to have had dyslipidaemia (OR 2.74, 95% CI 2.18, 3.45), hypertension (OR 2.80, 95% CI 2.28, 3.45), and type 2 diabetes mellitus (OR 2.93, 95% CI 2.50, 3.45) compared with healthy individuals. CONCLUSION This meta-analysis confirms current knowledge of risk factors for PCHD, and identifying these early may reduce CHD in young adults.
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Affiliation(s)
- Adeel Khoja
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia.
| | - Prabha H Andraweera
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Zohra S Lassi
- The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Zahra A Padhani
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Anna Ali
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Mingyue Zheng
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; School of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Maleesa M Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Emily Aldridge
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Melanie R Wittwer
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Debajyoti D Chaudhuri
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Rosanna Tavella
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Department of Cardiology, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Margaret A Arstall
- Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia; Medical Specialties, Faculty of Health Sciences, The University of Adelaide, Adelaide, SA, Australia
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15
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Passero LE, Roberts MC. Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in Administrative Claims Data. High Blood Press Cardiovasc Prev 2024; 31:215-219. [PMID: 38308804 DOI: 10.1007/s40292-024-00624-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/12/2024] [Indexed: 02/05/2024] Open
Abstract
INTRODUCTION Familial hypercholesterolemia is a common genetic condition that significantly increases an individual's risk of cardiovascular events such as heart attack, stroke, and cardiac death and is a candidate for population-wide screening programs. Economic analyses of strategies to identify and treat familial hypercholesterolemia are limited by a lack of real-world cost estimates for screening services and medications for reducing cardiovascular risk in this population. METHODS We estimated the cost of lipid panel testing in patients with hyperlipidemia and the cost of statins, ezetimibe, and PCKS9 inhibitors in patients with familial hypercholesterolemia from a commercial claims database and report costs and charges per panel and prescription by days' supply. RESULTS The mean cost for a 90-day supply for statins was $183.33, 2.3 times the mean cost for a 30-day supply at $79.35. PCSK9 inhibitors generated the highest mean costs among medications used by patients with familial hypercholesterolemia. CONCLUSIONS Lipid testing and lipid-lowering medications for cardiovascular disease prevention generate substantial real-world costs which can be used to improve cost-effectiveness models of familial hypercholesterolemia screening and care management.
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Affiliation(s)
- Lauren E Passero
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Megan C Roberts
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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16
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Spohn O, Morkem R, Singer AG, Barber D. Prevalence and management of dyslipidemia in primary care practices in Canada. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2024; 70:187-196. [PMID: 38499368 PMCID: PMC11280621 DOI: 10.46747/cfp.7003187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
OBJECTIVE To estimate the prevalence of dyslipidemia and to describe its management in Canadian primary care. DESIGN Retrospective cohort study using primary care electronic medical record data. SETTING Canada. PARTICIPANTS Adults aged 40 years or older who saw a Canadian Primary Care Sentinel Surveillance Network contributor between January 1, 2018, and December 31, 2019. MAIN OUTCOME MEASURES Presence or absence of dyslipidemia as identified by a validated case definition and the treatment status of patients identified as having dyslipidemia based on having been prescribed a lipid-lowering agent (LLA). RESULTS In total, 50.0% of the 773,081 patients 40 years of age or older who had had a primary care visit in 2018 or 2019 were identified as having dyslipidemia. Dyslipidemia was more prevalent in patients 65 or older (61.5%), in males (56.7%) versus females (44.7%), and in those living in urban areas (50.0%) versus rural areas (45.2%). In patients with documented dyslipidemia, 42.8% had evidence of treatment with an LLA. Stratifying patients by Framingham risk score revealed that those in the high-risk category were more likely to have been prescribed an LLA (65.0%) compared with those in the intermediate-risk group (48.7%) or the low-risk group (22.8%). The strongest determinants of receiving LLA treatment for dyslipidemia include sex, with males being 1.95 times more likely to have been treated compared with females (95% CI 1.91 to 1.98; P<.0001); and body mass index, with those with obesity having a significantly increased likelihood of being treated with an LLA (adjusted odds ratio of 1.36, 95% CI 1.32 to 1.41; P<.0001). CONCLUSION This study provides an updated look at the prevalence and treatment of dyslipidemia among Canadians. Half of patients aged 40 years or older have dyslipidemia, with an even higher prevalence observed among adults aged 65 years or older, males, and those with obesity or other chronic conditions. There are still gaps in treatment among those with documented dyslipidemia, principally among those calculated to have high or intermediate Framingham risk scores. Particular attention should also be paid to those at higher risk for not receiving treatment, including female patients and those within normal body mass index ranges.
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Affiliation(s)
| | - Rachael Morkem
- Lead Analyst for the Canadian Primary Care Sentinel Surveillance Network within the Department of Family Medicine at Queen's University in Kingston
| | - Alexander G Singer
- Associate Professor and Director of Research and Quality Improvement in the Department of Family Medicine at the University of Manitoba in Winnipeg and Director of the Manitoba Primary Care Research Network
| | - David Barber
- Network Director and Assistant Professor in the Centre for Studies in Primary Care at Queen's University
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17
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Zhang Y, Dron JS, Bellows BK, Khera AV, Liu J, Balte PP, Oelsner EC, Amr SS, Lebo MS, Nagy A, Peloso GM, Natarajan P, Rotter JI, Willer C, Boerwinkle E, Ballantyne CM, Lutsey PL, Fornage M, Lloyd-Jones DM, Hou L, Psaty BM, Bis JC, Floyd JS, Vasan RS, Heard-Costa NL, Carson AP, Hall ME, Rich SS, Guo X, Kazi DS, de Ferranti SD, Moran AE. Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol. JAMA Cardiol 2024; 9:263-271. [PMID: 38294787 PMCID: PMC10831623 DOI: 10.1001/jamacardio.2023.5366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/22/2023] [Indexed: 02/01/2024]
Abstract
Importance Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified. Objective To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (≥190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults. Design, Setting, and Participants A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023. Exposures LDL-C, cumulative past LDL-C, FH variant status. Main Outcomes and Measures Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults. Results Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3%) and in 33 individuals with severely elevated LDL-C (2.5%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95% CI, 1.4-6.0) and 2.6 (95% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant. Conclusions and Relevance In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.
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Affiliation(s)
- Yiyi Zhang
- Division of General Medicine, Columbia University, New York, New York
| | - Jacqueline S. Dron
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | | | - Amit V. Khera
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Cardiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Junxiu Liu
- Department of Population Health Science and Policy, Icahn School of Medicine, Mount Sinai, New York, New York
| | - Pallavi P. Balte
- Division of General Medicine, Columbia University, New York, New York
| | | | - Sami Samir Amr
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Matthew S. Lebo
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Anna Nagy
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Pradeep Natarajan
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Cristen Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Human Genetics, University of Michigan, Ann Arbor
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston
| | | | - Pamela L. Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston
| | | | - Lifang Hou
- Northwestern University, Chicago, Illinois
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
| | - James S. Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Ramachandran S. Vasan
- The Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Nancy L. Heard-Costa
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Michael E. Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Dhruv S. Kazi
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Sarah D. de Ferranti
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Andrew E. Moran
- Division of General Medicine, Columbia University, New York, New York
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18
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Durand A, Morgan CL, Tinsley S, Hughes E, McCormack T, Bitchell CL, Lahoz R. Familial hypercholesterolaemia in UK primary care: a Clinical Practice Research Datalink study of an under-recognised condition. Br J Gen Pract 2024; 74:e174-e182. [PMID: 38325890 PMCID: PMC10877619 DOI: 10.3399/bjgp.2023.0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 07/20/2023] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Studies utilising genotyping methods report the prevalence of familial hypercholesterolaemia to be as high as one in 137 of the adult population. AIM To estimate the prevalence of familial hypercholesterolaemia measured by clinically coded diagnosis, associated treatments, and lipid measurements observed in UK primary care. DESIGN AND SETTING This was a retrospective analysis using the Clinical Practice Research Datalink (CPRD) GOLD database. METHOD Patients aged ≥18 years and actively registered on the index date (30 June 2018) formed the study cohort. Point prevalence of familial hypercholesterolaemia for 2018 was estimated overall and for each nation of the UK. Patients with familial hypercholesterolaemia were stratified into primary and secondary prevention groups, defined as those with/without a prior diagnosis of atherosclerotic cardiovascular disease. Prevalence estimates and extrapolations were replicated for these subgroups. Baseline demographic, lipid, and clinical characteristics for the prevalent cohort were presented. RESULTS In total, 4048 patients with familial hypercholesterolaemia formed the study cohort. The estimated familial hypercholesterolaemia prevalence for the UK was 16.4 per 10 000 (95% confidence interval [CI] = 16.0 to 16.9). Of these, 2646 (65.4%) patients with familial hypercholesterolaemia had a recent prescription for lipid-lowering therapy. Mean lipid levels were lower for those treated with lipid-lowering therapy compared with those untreated: 5.34 mmol/L (SD 1.50) versus 6.25 mmol/L (SD 1.55) for total cholesterol and 3.15 mmol/L (SD 1.34) versus 3.96 mmol/L (SD 1.36) for low-level density lipoprotein cholesterol. CONCLUSION The estimated prevalence of familial hypercholesterolaemia was one in 608 of the population, less than expected from other studies, which may indicate that familial hypercholesterolaemia is under-recognised in UK primary care. Over one-third of diagnosed patients were undertreated and many did not achieve target goals, placing them at risk of cardiovascular events.
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Affiliation(s)
| | | | | | - Elizabeth Hughes
- Sandwell and West Birmingham Hospitals NHS Trust and University of Aston Medical School, Birmingham, UK
| | - Terry McCormack
- Institute of Clinical and Applied Health Research, Hull York Medical School, Hull, UK
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 175] [Impact Index Per Article: 175.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), 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, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. 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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Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang SJ, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J. Development and Validation of the American Heart Association's PREVENT Equations. Circulation 2024; 149:430-449. [PMID: 37947085 PMCID: PMC10910659 DOI: 10.1161/circulationaha.123.067626] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD. METHODS The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets. RESULTS Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; P=0.01). CONCLUSIONS PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.
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Affiliation(s)
- Sadiya S Khan
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (S.S.K.)
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M., Y.S., S.H.B., J.C.)
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M., Y.S., S.H.B., J.C.)
- Department of Population Health, New York University Grossman School of Medicine, New York, NY (Y.S., S.H.B., J.C.)
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M., Y.S., S.H.B., J.C.)
- Department of Population Health, New York University Grossman School of Medicine, New York, NY (Y.S., S.H.B., J.C.)
| | - Morgan E Grams
- Department of Medicine, Division of Precision Medicine, New York University Grossman School of Medicine, New York, NY (M.E.G., A.S.)
| | - Aditya Surapaneni
- Department of Medicine, Division of Precision Medicine, New York University Grossman School of Medicine, New York, NY (M.E.G., A.S.)
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD (M.J.B.)
| | - April P Carson
- University of Mississippi Medical Center, Jackson (A.P.C.)
| | - Alexander R Chang
- Departments of Nephrology and Population Health Sciences, Geisinger Health, Danville, PA (A.R.C.)
| | | | - Alan S Go
- Division of Research, Kaiser Permanente Northern California, Oakland; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Departments of Epidemiology, Biostatistics and Medicine, University of California, San Francisco; Department of Medicine (Nephrology), Stanford University School of Medicine, Palo Alto, CA (A.S,G.)
| | - Orlando M Gutierrez
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham (O.M.G.)
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute, Framingham, MA (S.-J.H.)
| | - Simerjot K Jassal
- Division of General Internal Medicine, University of California, San Diego and VA San Diego Healthcare, CA (S.K.J.)
| | - Csaba P Kovesdy
- Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis (C.P.K.)
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, IL (D.M.L.-J.)
| | - Michael G Shlipak
- Department of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco, and San Francisco VA Medical Center (M.G.S.)
| | - Latha P Palaniappan
- Center for Asian Health Research and Education and the Department of Medicine, Stanford University School of Medicine, CA (L.P.P.)
| | | | - Salim S Virani
- Department of Medicine, The Aga Khan University, Karachi, Pakistan; Texas Heart Institute and Baylor College of Medicine, Houston (S.S.V.)
| | - Katherine Tuttle
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA; Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle (K.T.)
| | - Ian J Neeland
- UH Center for Cardiovascular Prevention, Translational Science Unit, Center for Integrated and Novel Approaches in Vascular-Metabolic Disease (CINEMA), Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, OH (I.J.N.)
| | - Sheryl L Chow
- Department of Pharmacy Practice and Administration, College of Pharmacy, Western University of Health Sciences, Pomona, CA (S.L.C.)
| | - Janani Rangaswami
- Washington DC VA Medical Center and George Washington University School of Medicine (J.R.)
| | - Michael J Pencina
- Department of Biostatistics, Duke University Medical Center, Durham, NC (M.J.P.)
| | - Chiadi E Ndumele
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD (C.E.N.)
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M., Y.S., S.H.B., J.C.)
- Department of Population Health, New York University Grossman School of Medicine, New York, NY (Y.S., S.H.B., J.C.)
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Miles J, Scotti A, Castagna F, Kuno T, Leone PP, Coisne A, Ludwig S, Lavie CJ, Joshi PH, Latib A, Garcia MJ, Rodriguez CJ, Shapiro MD, Virani SS, Slipczuk L. Long-Term Mortality in Patients With Severe Hypercholesterolemia Phenotype From a Racial and Ethnically Diverse US Cohort. Circulation 2024; 149:417-426. [PMID: 37970713 PMCID: PMC10872875 DOI: 10.1161/circulationaha.123.064566] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 10/11/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Tools for mortality prediction in patients with the severe hypercholesterolemia phenotype (low-density lipoprotein cholesterol ≥190 mg/dL) are limited and restricted to specific racial and ethnic cohorts. We sought to evaluate the predictors of long-term mortality in a large racially and ethnically diverse US patient cohort with low-density lipoprotein cholesterol ≥190 mg/dL. METHODS We conducted a retrospective analysis of all patients with a low-density lipoprotein cholesterol ≥190 mg/dL seeking care at Montefiore from 2010 through 2020. Patients <18 years of age or with previous malignancy were excluded. The primary end point was all-cause mortality. Analyses were stratified by age, sex, and race and ethnicity. Patients were stratified by primary and secondary prevention. Cox regression analyses were used to adjust for demographic, clinical, and treatment variables. RESULTS A total of 18 740 patients were included (37% non-Hispanic Black, 30% Hispanic, 12% non-Hispanic White, and 2% non-Hispanic Asian patients). The mean age was 53.9 years, and median follow-up was 5.2 years. Both high-density lipoprotein cholesterol and body mass index extremes were associated with higher mortality in univariate analyses. In adjusted models, higher low-density lipoprotein cholesterol and triglyceride levels were associated with an increased 9-year mortality risk (adjusted hazard ratio [HR], 1.08 [95% CI, 1.05-1.11] and 1.04 [95% CI, 1.02-1.06] per 20-mg/dL increase, respectively). Clinical factors associated with higher mortality included male sex (adjusted HR, 1.31 [95% CI, 1.08-1.58]), older age (adjusted HR, 1.19 per 5-year increase [95% CI, 1.15-1.23]), hypertension (adjusted HR, 2.01 [95% CI, 1.57-2.57]), chronic kidney disease (adjusted HR, 1.68 [95% CI, 1.36-2.09]), diabetes (adjusted HR, 1.79 [95% CI, 1.50-2.15]), heart failure (adjusted HR, 1.51 [95% CI, 1.16-1.95]), myocardial infarction (adjusted HR, 1.41 [95% CI, 1.05-1.90]), and body mass index <20 kg/m2 (adjusted HR, 3.36 [95% CI, 2.29-4.93]). A significant survival benefit was conferred by lipid-lowering therapy (adjusted HR, 0.57 [95% CI, 0.42-0.77]). In the primary prevention group, high-density lipoprotein cholesterol <40 mg/dL was independently associated with higher mortality (adjusted HR, 1.49 [95% CI, 1.06-2.09]). Temporal trend analyses showed a reduction in statin use over time (P<0.001). In the most recent time period (2019-2020), 56% of patients on primary prevention and 85% of those on secondary prevention were on statin therapy. CONCLUSIONS In a large, diverse cohort of US patients with the severe hypercholesterolemia phenotype, we identified several patient characteristics associated with increased 9-year all-cause mortality and observed a decrease in statin use over time, in particular for primary prevention. Our results support efforts geared toward early recognition and consistent treatment for patients with severe hypercholesterolemia.
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Affiliation(s)
- Jeremy Miles
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Andrea Scotti
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Francesco Castagna
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Toshiki Kuno
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Pier Pasquale Leone
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Augustin Coisne
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Sebastian Ludwig
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Carl J Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinic Foundation, New Orleans, LA, USA
| | - Parag H Joshi
- Division of Cardiology, Department of Internal Medicine. UT Southwestern Medical Center, Dallas, TX, USA
| | - Azeem Latib
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Mario J Garcia
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Carlos J Rodriguez
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, The Aga Khan University, Karachi, Pakistan. Section of Cardiology, Texas Heart Institute & Baylor College of Medicine, Houston, TX, USA
| | - Leandro Slipczuk
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine. Bronx, NY, USA
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Shetty NS, Gaonkar M, Patel N, Knowles JW, Natarajan P, Arora G, Arora P. Trends of Lipid Concentrations, Awareness, Evaluation, and Treatment in Severe Dyslipidemia in US Adults. Mayo Clin Proc 2024; 99:271-282. [PMID: 38189687 PMCID: PMC10873035 DOI: 10.1016/j.mayocp.2023.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVE To evaluate the contemporary trends of lipid concentrations, cholesterol evaluation, hypercholesterolemia awareness, and statin use among individuals with severe dyslipidemia (low-density lipoprotein cholesterol [LDL-C] level ≥190 mg/dL) between 2011 and 2020. PATIENTS AND METHODS This serial cross-sectional analysis included nonpregnant adults ≥20 years of age from the National Health and Nutrition Examination Survey between 2011 and 2020. Age-adjusted weighted trends of LDL-C, triglycerides, cholesterol evaluation in the past 5 years, hypercholesterolemia awareness, and documented statin use among individuals with severe dyslipidemia were estimated. RESULTS Among 24,722 participants included, the prevalence of severe dyslipidemia was 5.4% (SE: 0.2%) which was stable across the study period (Ptrend=.78). Among individuals with severe dyslipidemia (mean age: 55.3 [SE: 0.7] years; 52.2% females; 68.8% non-Hispanic White), LDL-C (224.3 [SE: 4.2] mg/dL in 2011-2012 to 224.2 [SE: 4.6] mg/dL in 2017-2020; Ptrend =.83), and triglyceride (123.3 [SE: 1.1] mg/dL in 2011-2012 to 101.8 [SE: 1.1] mg/dL in 2017-2020; Ptrend=.13), levels remained stable from 2011 to 2020. The rates of cholesterol evaluation in the past 5 years (72.0% [SE: 5.7%] in 2011-2012 to 78.0% [SE: 4.8%] in 2017-2020; Ptrend=.91), hypercholesterolemia awareness (48.1% [SE: 5.5%] in 2011-2012 to 51.9% [SE: 5.8%] in 2017- 2020; Ptrend=.77), and documented statin use (34.7% [SE: 4.5%] in 2011-2012 to 33.4% [SE: 4.0%] in 2017-2020; Ptrend=.28) remained stagnant in individuals with severe dyslipidemia between 2011 and 2020. CONCLUSION Among individuals with severe dyslipidemia, cholesterol evaluation and hypercholesterolemia awareness rates were stable at ∼75% and ∼50% in the past decade. Only ∼34% of individuals with severe dyslipidemia took statins between 2011 and 2020, which likely contributed to the stable LDL-C levels noted across the study period. Further investigations into the determinants of statin use and adherence to statins are needed.
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Affiliation(s)
- Naman S Shetty
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mokshad Gaonkar
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nirav Patel
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Joshua W Knowles
- Department of Medicine, Division of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA; Department of Medicine, Diabetes Research Center, Cardiovascular Institute and Prevention Research Center, Stanford, CA, USA
| | - Pradeep Natarajan
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Garima Arora
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Pankaj Arora
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA; Section of Cardiology, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA.
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23
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Masana L, Díaz Moya G, Pérez de Isla L. Patients who suffer a first atherosclerotic cardiovascular event while taking statins are often far off of lipid targets. Nutr Metab Cardiovasc Dis 2024; 34:90-97. [PMID: 38092606 DOI: 10.1016/j.numecd.2023.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 09/12/2023] [Accepted: 09/21/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND AND AIMS Despite considerable evidence that lipid-lowering therapies (LLTs) afford clinical benefit, the control of low-density lipoprotein cholesterol (LDL-C) is suboptimal, and available LLTs are underused, especially in patients at high and very high cardiovascular (CV) risk. This study assesses the real-world LDL-C target attainment rate in patients on LLT before experiencing a first major acute cardiovascular event (MACE). METHODS AND RESULTS The HEARTBEAT was a retrospective, multicentre observational study. From March to June 2021 a total of 334 patients on LLT who had a first MACE while being on statins were included in the study. Of these patients, 83.2 % had a high (40.7 %) or very high CV risk (29.0 %) prior to MACE. Overall, 87.5 % and 89.7 % of the patients at high and very high CV risk, respectively, failed to reach the LDL-C target. Regarding LLTs, only 11.8 % and 19.6 % of the patients at high and very high risk had received high-intensity LLTs prior to MACE. It was estimated that if these patients had reached their recommended LDL-C targets, the risk of MACE may have been reduced by a median of 24.5 % and 23.2 % in patients at high and very high risk respectively. CONCLUSIONS Patients who suffer a first MACE while on statin therapy often were at high/very high CV risk. Despite their risk, LDL-levels and being on statins they are undertreated, and too far from lipid targets. A proper use of high-intensity LLTs led to an increase attainment of LDL targets and lower CV events.
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Affiliation(s)
- Luis Masana
- Unidad Medicina Vascular y Metabolismo, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, CIBERDEM, Reus, Spain.
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24
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Peng X, Lu Y, Chen PY, Wong CH. The mediating effect of depression on the relationship between osteoarthritis and cardiovascular disease mortality: A cohort study. J Affect Disord 2023; 341:329-334. [PMID: 37643679 DOI: 10.1016/j.jad.2023.08.108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND To explore the mediator role of depression in the association of osteoarthritis (OA) and cardiovascular disease (CVD) mortality based on the National Health and Nutrition Examination Survey (NHANES) database. METHODS Totally 19,605 adults from NHANES 2009-2018 were included in this cohort study ultimately. The outcome was considered as the CVD related mortality in this study. The follow-up duration was 81.09 ± 1.05 months. Weighted univariate and multivariate linear regressions were used to explore the association between OA and depression. Weighted univariate and multivariate COX regressions were performed to assess the relationship of OA and CVD related mortality. Also, we analyzed the mediating role of depression on the association between OA and CVD mortality through the Sobel Test. RESULTS The CVD related mortality in this study was 2.57 %. After adjusting age, gender, physical activity, history of CVD, history of hypertension and eGFR, OA was positively correlated with depression [β = 0.78, 95 % confidence interval (CI) = 0.54-1.02], and OA was associated the death risk of CVD [hazard ratio (HR): 1.35, 95%CI, 1.09-1.68]. Additionally, depression slightly mediated the association between OA and CVD related mortality in this study, with this mediating variable accounting for 5.61 % of the association. CONCLUSION OA was associated with depression and CVD related mortality, respectively. Additionally, the increased risk of CVD related mortality in OA patients may be slightly mediated by depression. These results serve as a reminder that giving careful attention to and effectively managing mental health may be beneficial to prevent CVD related mortality, especially for those with OA.
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Affiliation(s)
- Xinyu Peng
- Department of Orthopedics, Affiliated Hospital of Beihua University, Jilin 132000, Jilin Province, PR China
| | - Yang Lu
- Department of General Surgery, Hangzhou Third People's Hospital, Hangzhou 310000, Zhejiang Province, PR China
| | - Pang-Yen Chen
- Department of Emergency Medicine, Mackay Memorial Hospital, Taipei 104217, Taiwan; Department of Nursing, Yuanpei University of Medical Technology, Hsinchu 30015, Taiwan; Mackay Junior College of Medicine, Nursing and Management, Taipei 112021, Taiwan; Institute of Public Health, National Yang Ming Chiao Tung University School of Medicine, Taipei 104217, Taiwan.
| | - Chiong-Hee Wong
- Department of Emergency Medicine, Mackay Memorial Hospital, Taipei 104217, Taiwan.
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Jia C, Qiu G, Wang H, Zhang S, An J, Cheng X, Li P, Li W, Zhang X, Yang H, Yang K, Jing T, Guo H, Zhang X, Wu T, He M. Lipid metabolic links between serum pyrethroid levels and the risk of incident type 2 diabetes: A mediation study in the prospective design. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132082. [PMID: 37473566 DOI: 10.1016/j.jhazmat.2023.132082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/24/2023] [Accepted: 07/16/2023] [Indexed: 07/22/2023]
Abstract
Emerging evidence revealed that pyrethroids and circulating lipid metabolites are involved in incident type 2 diabetes (T2D). However, the pyrethroid-associated lipid profile and its potential role in the association of pyrethroids with T2D remain unknown. Metabolome-wide association or mediation analyses were performed among 1006 pairs of T2D cases and matched controls nested within the prospective Dongfeng-Tongji cohort. We identified 59 lipid metabolites significantly associated with serum deltamethrin levels, of which eight were also significantly associated with serum fenvalerate (false discovery rate [FDR] < 0.05). Pathway enrichment analysis showed that deltamethrin-associated lipid metabolites were significantly enriched in the glycerophospholipid metabolism pathway (FDR = 0.02). Furthermore, we also found that several deltamethrin-associated lipid metabolites (i.e., phosphatidylcholine [PC] 32:0, PC 34:4, cholesterol ester 20:0, triacylglycerol 52:5 [18:2]), and glycerophosphoethanolamine-enriched latent variable mediated the association between serum deltamethrin levels and T2D risk, with the mediated proportions being 44.81%, 15.92%, 16.85%, 16.66%, and 22.86%, respectively. Serum pyrethroids, particularly deltamethrin, may lead to an altered circulating lipid profile primarily in the glycerophospholipid metabolism pathway represented by PCs and lysophosphatidylcholines, potentially mediating the association between serum deltamethrin and T2D. The study provides a new perspective in elucidating the potential mechanisms through which pyrethroid exposure might induce T2D.
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Affiliation(s)
- Chengyong Jia
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Gaokun Qiu
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Hao Wang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shiyang Zhang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jun An
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xu Cheng
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Peiwen Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wending Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xin Zhang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Handong Yang
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China
| | - Kun Yang
- Department of Endocrinology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China
| | - Tao Jing
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Huan Guo
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Duiyimuhan G, Maimaiti N. The association between atherogenic index of plasma and all-cause mortality and cardiovascular disease-specific mortality in hypertension patients: a retrospective cohort study of NHANES. BMC Cardiovasc Disord 2023; 23:452. [PMID: 37697281 PMCID: PMC10496369 DOI: 10.1186/s12872-023-03451-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/14/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP), a marker of atherosclerosis and cardiovascular disease (CVD), was related to the all-cause mortality and CVD-specific mortality in a U-shape in general population respectively. However, no studies have investigated these associations in hypertensive populations. Herein, this study aims to explore the relationship of AIP and all-cause mortality and CVD-specific mortality in patients with hypertension in order to provide some reference for the risk hierarchical management of hypertension. METHODS Demographic and clinical data of 17,382 adult patients with hypertension were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2005-2018 in this retrospective cohort study. We used weighted univariate COX regression analysis to screen the covariates, and that weighted univariate and multivariate COX regression analyses to explore the association between AIP and all-cause mortality and CVD-specific mortality with hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, gender, body mass index (BMI), CVD, diabetes mellitus (DM), antihyperlipidemic agents use, and hypotensive drugs use were also performed for further exploration of these relationships. RESULTS The average follow-up time was 97.10 months. A total of 2,844 patients died, and 971 of them died due to CVD. After adjusting for age, race, education level, marital status, poverty-income ratio (PIR), smoking, BMI, physical activity, antihyperlipidemic agents, DM, CVD, hypotensive drugs, estimated glomerular filtration rate (eGFR), and total energy intake, we found that both low [HR = 1.18, 95%CI: (1.07-1.32)] and high [HR = 1.17, 95%CI: (1.03-1.33)] levels of AIP were linked to an increased risk of all-cause mortality, and the U-shape association between AIP and CVD-specific mortality was also found [low AIP level: HR = 1.26, 95%CI: (1.05-1.51); high AIP level: HR = 1.26, 95%CI: (1.06-1.49)]. Furthermore, these relationships were existed in patients whose BMI > 25, were non-Hispanic White, with non-CVD, non-DM, non-antihyperlipidemic agents, and used hypertension drug (all P < 0.05). CONCLUSION AIP was associated with both all-cause mortality and CVD-specific mortality in patients with hypertension, but the specific role of AIP in prognosis in hypertensive populations is needed further exploration.
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Affiliation(s)
- Gulinuer Duiyimuhan
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, No.91 Tianchi Road, Tianshan District, 830001, Urumqi, P.R. China.
| | - Nuerguli Maimaiti
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, No.91 Tianchi Road, Tianshan District, 830001, Urumqi, P.R. China
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Wang Q, Pang D, Wang H. Effect of overall lifestyle on the all-cause mortality and cardiovascular disease death in dyslipidemia patients with or without lipid-lowering therapy: a cohort study. BMC Cardiovasc Disord 2023; 23:438. [PMID: 37667171 PMCID: PMC10476373 DOI: 10.1186/s12872-023-03450-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Lifestyle adjustment has been reported as one of the interventions for dyslipidemia. This study aimed to explore the effect of overall lifestyle on the risk of all-cause mortality and cardiovascular disease (CVD) death in dyslipidemia patients with or without lipid-lowering therapy. METHODS This was a retrospective cohort study, and data were extracted from the National Health and Nutrition Examination Survey (NHANES). Overall lifestyle was assessed based on Mediterranean diet score, physical activity, smoking status, sleep duration, and body mass index (BMI). Multivariate Cox regression model was used to explore the effect of overall lifestyle score on the risk of all-cause mortality and CVD death. Results were shown as hazard ratio (HR), with 95% confidence interval (CI). RESULTS A total of 11,549 dyslipidemia patients were finally included in this study. The results showed that optimal overall lifestyle was associated with the decreased risk of all-cause mortality (HR = 0.47, 95%CI: 0.34-0.64) and CVD death (HR = 0.45, 95%CI: 0.22-0.94) in patients without lipid-lowering therapy. The similar results were found in patients with lipid-lowering therapy (all-cause mortality: HR = 0.45, 95%CI: 0.33-0.62; CVD death: HR = 0.38, 95%CI: 0.23-0.63). CONCLUSIONS A favorable overall lifestyle may have great benefits to improve the prognosis of dyslipidemia, highlighting the importance of overall lifestyle adjustment for dyslipidemia patients.
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Affiliation(s)
- Qian Wang
- Changsheng Community Health Service Station, Jinan Hospital, Jinan, 250014, P.R. China
| | - Dong Pang
- Department of General Practice, Jinan Hospital, Jinan, 250014, P.R. China
| | - Hui Wang
- Department of Emergency, Jinan Hospital, No.63-1 Lishan Road, Lixia District, Jinan, 250014, P.R. China.
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Held PK, Lasarev M, Zhang X, Wiberley-Bradford AE, Campbell K, Horner V, Shao X, Benoy M, Dodge AM, Peterson AL. Familial Hypercholesterolemia Biomarker Distribution in Dried Blood Spots. J Pediatr 2023; 259:113469. [PMID: 37182660 PMCID: PMC10524346 DOI: 10.1016/j.jpeds.2023.113469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 05/16/2023]
Abstract
OBJECTIVE To evaluate distribution profiles of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein B (apoB) as candidate markers of familial hypercholesterolemia in newborns, taking into consideration potential confounding factors, such as gestational age, birth weight, sex, and race. STUDY DESIGN TC, LDL-C, and apoB were measured from 10 000 residual deidentified newborn dried blood spot cards. Concentrations for each biomarker were reported as multiples of the median, with emphasis on describing the 99th percentile values based on birth weight, gestational age, sex, and race. Seasonal variation of biomarkers was also explored. RESULTS LDL-C and apoB had distribution curves with tails showing extreme elevation, whereas the distribution of TC was less elevated and had the smallest range. Neonates born at early gestational age and low birth weight had significantly greater 99th percentile of multiples of the median values for apoB but not TC or LDL-C. Differences in biomarker concentration based on sex and race were minimal. All biomarkers showed greatest concentrations in the winter as compared with summer months. CONCLUSIONS LDL-C and apoB had distribution curves supporting candidacy for neonatal familial hypercholesterolemia screening. Future studies are needed to correlate newborn screening results with molecular testing to validate these 2 biomarkers, along with measured cholesterol levels later in childhood.
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Affiliation(s)
- Patrice K Held
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR; Oregon State Public Health Laboratory, Oregon Health Authority, Hillsboro, OR
| | - Michael Lasarev
- Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Xiao Zhang
- Division of Pediatric Cardiology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Amy E Wiberley-Bradford
- Wisconsin State Laboratory of Hygiene, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Kristin Campbell
- Wisconsin State Laboratory of Hygiene, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Vanessa Horner
- Wisconsin State Laboratory of Hygiene, University of Wisconsin School of Medicine and Public Health, Madison, WI; Department of Pathology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Xiangqiang Shao
- Division of Pediatric Cardiology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI; Wisconsin State Laboratory of Hygiene, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Megan Benoy
- Pediatric Specialty Clinics, University of Wisconsin Hospital and Clinics, Madison, WI
| | - Ann M Dodge
- Division of Pediatric Cardiology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Amy L Peterson
- Division of Pediatric Cardiology, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
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Cífková R, Bruthans J, Wohlfahrt P, Hrubeš Krajčoviechová A, Šulc P, Jozífová M, Eremiášová L, Pudil J, Linhart A, Widimský J, Filipovský J, Mayer O, Poledne R, Stávek P, Lánská V, Strilchuk L. Longitudinal Trends in Severe Dyslipidemia in the Czech Population: The Czech MONICA and Czech Post-MONICA Study. J Cardiovasc Dev Dis 2023; 10:328. [PMID: 37623341 PMCID: PMC10455799 DOI: 10.3390/jcdd10080328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/14/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023] Open
Abstract
Background: Severe hypercholesterolemia is associated with an increase in the risk of developing atherosclerotic cardiovascular disease. The aim of this analysis was to assess longitudinal trends in severe dyslipidemia (defined as total cholesterol > 8 mmol/L or LDL-cholesterol > 5 mmol/L) in a representative population sample of the Czech Republic and to analyze the longitudinal trends in the basic characteristics of individuals with severe dyslipidemia. Methods: Seven independent cross-sectional surveys were organized in the Czech Republic to screen for major cardiovascular risk factors (from 1985 to 2015-2018). A total of 20,443 randomly selected individuals aged 25-64 years were examined. Results: The overall prevalence of severe dyslipidemia was 6.6%, with a significant downward trend from the fifth survey onwards (2000/2001). Over the study period of 30+ years, the individuals with severe dyslipidemia became older, increased in BMI, and did not change their smoking habits. Total cholesterol and non-HDL-cholesterol decreased significantly in both sexes throughout the duration of the study. Conclusions: Despite a significant improvement in lipids in the Czech Republic from 1985, substantially contributing to the decline in cardiovascular mortality, the number of individuals with severe dyslipidemia remained high, and in most cases, they were newly detected during our screening examinations and were thus untreated.
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Affiliation(s)
- Renata Cífková
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
- Department of Medicine II, Charles University in Prague, First Faculty of Medicine, 128 08 Prague, Czech Republic; (L.E.); (J.P.); (A.L.)
| | - Jan Bruthans
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
| | - Peter Wohlfahrt
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
| | - Alena Hrubeš Krajčoviechová
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
| | - Pavel Šulc
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
| | - Marie Jozífová
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
| | - Lenka Eremiášová
- Department of Medicine II, Charles University in Prague, First Faculty of Medicine, 128 08 Prague, Czech Republic; (L.E.); (J.P.); (A.L.)
| | - Jan Pudil
- Department of Medicine II, Charles University in Prague, First Faculty of Medicine, 128 08 Prague, Czech Republic; (L.E.); (J.P.); (A.L.)
| | - Aleš Linhart
- Department of Medicine II, Charles University in Prague, First Faculty of Medicine, 128 08 Prague, Czech Republic; (L.E.); (J.P.); (A.L.)
| | - Jiří Widimský
- Department of Medicine III, Charles University in Prague, First Faculty of Medicine, 128 08 Prague, Czech Republic;
| | - Jan Filipovský
- Department of Medicine II, Faculty of Medicine, Charles University, 301 00 Pilsen, Czech Republic; (J.F.)
| | - Otto Mayer
- Department of Medicine II, Faculty of Medicine, Charles University, 301 00 Pilsen, Czech Republic; (J.F.)
| | - Rudolf Poledne
- Atherosclerosis Research Laboratory, Institute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic (P.S.)
| | - Petr Stávek
- Atherosclerosis Research Laboratory, Institute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic (P.S.)
| | - Věra Lánská
- Medical Statistics Unit, Institute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic;
| | - Larysa Strilchuk
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer University Hospital, 140 59 Prague, Czech Republic; (J.B.); (P.W.); (A.H.K.); (P.Š.); (M.J.); (L.S.)
- Department of Therapy №1, Medical Diagnostics, Hematology and Transfusiology, Lviv Danylo Halytsky National Medical University, 79010 Lviv, Ukraine
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McErlean S, Mbakaya B, Kennedy C. Familial hypercholesterolaemia. BMJ 2023; 382:e073280. [PMID: 37429609 DOI: 10.1136/bmj-2022-073280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Affiliation(s)
- Sarah McErlean
- Department of General Practice, UCD School of Medicine, University College Dublin, Dublin, Ireland
| | - Balwani Mbakaya
- Public Health Department, Faculty of Applied Sciences, University of Livingstonia, Malawi
- Biological Sciences Department, Faculty of Science, Technology and Innovation, Mzuzu University, Malawi
| | - Cormac Kennedy
- Department of Pharmacology, School of Medicine, Trinity College Dublin, Ireland
- Department of Pharmacology and HRB Clinical Research Facility, St James's Hospital, Dublin 8, Ireland
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Jean-Marie EM, Tashtish N, Albar Z, Miller D, Sullivan C, Al-Kindi S, Rajagopalan S, Neeland IJ. Disparities in statin prescription among patients with severe hypercholesterolemia in an integrated healthcare system. Am J Prev Cardiol 2023; 14:100492. [PMID: 37008590 PMCID: PMC10064414 DOI: 10.1016/j.ajpc.2023.100492] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/21/2023] [Accepted: 03/20/2023] [Indexed: 04/04/2023] Open
Abstract
Background Severe hypercholesterolemia (SH), defined as a low-density lipoprotein cholesterol (LDL-C) level ≥ 190 mg/dl, is associated with an increased risk for premature atherosclerotic cardiovascular disease. Despite guideline recommendations, many patients with severe hypercholesterolemia remain untreated. We conducted an observational analysis of a large pool of SH patients, exploring demographic and social factors contributing to disparities in the prescription of statin and other lipid-lowering therapies. Methods We included all adults (age 18 or older) in the University Hospitals Health Care System, with an LDL-C ≥ 190 mg/dl on a lipid profile drawn between January 2, 2014, and March 15, 2022. Variables were compared across relevant categories of age, gender, race and ethnicity, medical history, prescription medication status, insurance type, and provider referral type. We used the Fischer exact test and Pearson Chi-square (χ 2) for variable comparisons. Results A total of 7,942 patients were included in the study. The median age was 57 [IQR 48-66] years with 64% female, and 17% Black patients. Only 58% of the total cohort was prescribed statin therapy. Higher age was independently associated with a higher likelihood of receiving a statin, with an odds ratio of 1.25 (95% CI [1.21 - 1.30] per 10 years, p<0.001). Additional factors that were associated with higher rates of statin prescription in patients with SH were Black race (OR 1.90, 95% CI [1.65 - 2.17], p<0.001), smoking (OR 2.42, 95% CI [2.17 -2.70], p<0.001), and presence of diabetes (OR 3.88, 95% CI [3.27 - 4.60], p<0.001). Similar trends were also seen with other lipid-lowering therapies such as ezetimibe and fibrates. Conclusions In our Northeast Ohio healthcare system, less than two-thirds of patients with severe hypercholesterolemia are prescribed a statin. Statin prescription rates were highly dependent on age and the presence of additional ASCVD risk factors.
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Affiliation(s)
- Elizabeth M. Jean-Marie
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Corresponding author.
| | - Nour Tashtish
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Zainab Albar
- Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Drew Miller
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
| | - Claire Sullivan
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Sadeer Al-Kindi
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Sanjay Rajagopalan
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Ian J. Neeland
- Department of Medicine, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Cleveland, OH 44106, USA
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
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Jacobs JA, Addo DK, Zheutlin AR, Derington CG, Essien UR, Navar AM, Hernandez I, Lloyd-Jones DM, King JB, Rao S, Herrick JS, Bress AP, Pandey A. Prevalence of Statin Use for Primary Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and 10-Year Disease Risk in the US: National Health and Nutrition Examination Surveys, 2013 to March 2020. JAMA Cardiol 2023; 8:443-452. [PMID: 36947031 PMCID: PMC10034667 DOI: 10.1001/jamacardio.2023.0228] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/25/2023] [Indexed: 03/23/2023]
Abstract
Importance The burden of atherosclerotic cardiovascular disease (ASCVD) in the US is higher among Black and Hispanic vs White adults. Inclusion of race in guidance for statin indication may lead to decreased disparities in statin use. Objective To evaluate prevalence of primary prevention statin use by race and ethnicity according to 10-year ASCVD risk. Design, Setting, and Participants This serial, cross-sectional analysis performed in May 2022 used data from the National Health and Nutrition Examination Survey, a nationally representative sample of health status in the US, from 2013 to March 2020 (limited cycle due to the COVID-19 pandemic), to evaluate statin use for primary prevention of ASCVD and to estimate 10-year ASCVD risk. Participants aged 40 to 75 years without ASCVD, diabetes, low-density lipoprotein cholesterol levels 190 mg/dL or greater, and with data on medication use were included. Exposures Self-identified race and ethnicity (Asian, Black, Hispanic, and White) and 10-year ASCVD risk category (5%-<7.5%, 7.5%-<20%, ≥20%). Main Outcomes and Measures Prevalence of statin use, defined as identification of statin use on pill bottle review. Results A total of 3417 participants representing 39.4 million US adults after applying sampling weights (mean [SD] age, 61.8 [8.0] years; 1289 women [weighted percentage, 37.8%] and 2128 men [weighted percentage, 62.2%]; 329 Asian [weighted percentage, 4.2%], 1032 Black [weighted percentage, 12.7%], 786 Hispanic [weighted percentage, 10.1%], and 1270 White [weighted percentage, 73.0%]) were included. Compared with White participants, statin use was lower in Black and Hispanic participants and comparable among Asian participants in the overall cohort (Asian, 25.5%; Black, 20.0%; Hispanic, 15.4%; White, 27.9%) and within ASCVD risk strata. Within each race and ethnicity group, a graded increase in statin use was observed across increasing ASCVD risk strata. Statin use was low in the highest risk stratum overall with significantly lower rates of use among Black (23.8%; prevalence ratio [PR], 0.90; 95% CI, 0.82-0.98 vs White) and Hispanic participants (23.9%; PR, 0.90; 95% CI, 0.81-0.99 vs White). Among other factors, routine health care access and health insurance were significantly associated with higher statin use in Black, Hispanic, and White adults. Prevalence of statin use did not meaningfully change over time by race and ethnicity or by ASCVD risk stratum. Conclusions and Relevance In this study, statin use for primary prevention of ASCVD was low among all race and ethnicity groups regardless of ASCVD risk, with the lowest use occurring among Black and Hispanic adults. Improvements in access to care may promote equitable use of primary prevention statins in Black and Hispanic adults.
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Affiliation(s)
- Joshua A. Jacobs
- Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
| | - Daniel K. Addo
- Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
| | - Alexander R. Zheutlin
- Department of Internal Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
| | - Catherine G. Derington
- Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
| | - Utibe R. Essien
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles
- Center for the Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles VA Healthcare System, Los Angeles, California
| | - Ann Marie Navar
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas
- Deputy Editor, Diversity, Equity, and Inclusion, JAMA Cardiology
| | | | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jordan B. King
- Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | - Shreya Rao
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas
| | - Jennifer S. Herrick
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Adam P. Bress
- Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1392] [Impact Index Per Article: 1392.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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 Epidemiology and Prevention 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 with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. 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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Huang Y, Yan MQ, Zhou D, Chen CL, Feng YQ. The U-shaped association of non-high-density lipoprotein cholesterol with all-cause and cardiovascular mortality in general adult population. Front Cardiovasc Med 2023; 10:1065750. [PMID: 36844732 PMCID: PMC9945232 DOI: 10.3389/fcvm.2023.1065750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/13/2023] [Indexed: 02/11/2023] Open
Abstract
Background Non-high-density lipoprotein cholesterol (non-HDL-C) has been associated with atherosclerosis. However, the association between non-HDL-C and mortality in adult population remains unclear. We intended to investigate the association of non-HDL-C with cardiovascular and all-cause mortality using national representative data. Methods The study included 32,405 participants from the National Health and Nutrition Examination Survey (1999-2014). Mortality outcomes were ascertained by linkage to National Death Index records through December 31, 2015. Multivariable-adjusted Cox regression models were used to evaluate hazard ratio (HR) and 95% confidence interval (CI) of non-HDL-C concentrations in quintiles. Two-piecewise linear regression and restricted cubic spline analyzes were performed to test dose-response associations. Results After a median follow-up of 98.40 months, 2,859 (8.82%) all-cause and 551 (1.70%) cardiovascular deaths occurred. Compared with the highest group, the multivariable-adjusted hazard ratio (HR) of the first quintile for all-cause mortality was 1.53 (95%CI, 1.35-1.74). Higher non-HDL-C above a cutoff value of 4.9 mmol/L was related with cardiovascular mortality (HR = 1.33, 95%CI, 1.13-1.57). A U-shaped relationship between non-HDL-C and all-cause mortality was found in spline analysis with a cutoff value around 4 mmol/L. Similar results in subgroups analyzes were found among male, non-white population, participants who were not taking lipid-lowering drugs, and with body mass index (BMI) <25 kg/m2. Conclusion Our findings suggest a U-shaped association between non-HDL-C and mortality among adult population.
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Affiliation(s)
- Yu Huang
- School of Medicine, South China University of Technology, Guangzhou, China,Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Meng Qi Yan
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Dan Zhou
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chao Lei Chen
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ying Qing Feng
- School of Medicine, South China University of Technology, Guangzhou, China,Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China,*Correspondence: Ying Qing Feng,
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Boden WE, Marzilli M, Crea F, Mancini GBJ, Weintraub WS, Taqueti VR, Pepine CJ, Escaned J, Al-Lamee R, Gowdak LHW, Berry C, Kaski JC. Evolving Management Paradigm for Stable Ischemic Heart Disease Patients: JACC Review Topic of the Week. J Am Coll Cardiol 2023; 81:505-514. [PMID: 36725179 PMCID: PMC10561495 DOI: 10.1016/j.jacc.2022.08.814] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/02/2022] [Accepted: 08/15/2022] [Indexed: 02/01/2023]
Abstract
Management of stable coronary artery disease (CAD) has been based on the assumption that flow-limiting atherosclerotic obstructions are the proximate cause of angina and myocardial ischemia in most patients and represent an important target for revascularization. However, the role of revascularization in reducing long-term cardiac events in these patients has been limited mainly to those with left main disease, 3-vessel disease with diabetes, or decreased ejection fraction. Mounting evidence indicates that nonepicardial coronary causes of angina and ischemia, including coronary microvascular dysfunction, vasospastic disorders, and derangements of myocardial metabolism, are more prevalent than flow-limiting stenoses, raising concerns that many important causes other than epicardial CAD are neither considered nor probed diagnostically. There is a need for a more inclusive management paradigm that uncouples the singular association between epicardial CAD and revascularization and better aligns diagnostic approaches that tailor treatment to the underlying mechanisms and precipitants of angina and ischemia in contemporary clinical practice.
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Affiliation(s)
- William E Boden
- VA Boston Healthcare System, Boston, Massachusetts, USA; Boston University School of Medicine, Boston, Massachusetts, USA.
| | | | - Filippo Crea
- Department of Cardiology, Catholic University, Rome, Italy
| | - G B John Mancini
- Department of Medicine, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - William S Weintraub
- MedStar Health Research Institute, Georgetown University, Washington, DC, USA
| | - Viviany R Taqueti
- Division of Cardiovascular Medicine and Imaging, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Carl J Pepine
- Division of Cardiovascular Medicine, University of Florida School of Medicine, Gainesville, Florida, USA
| | - Javier Escaned
- Hospital Clinico San Carlos IDISSC, Complutense University, Madrid, Spain
| | | | | | - Colin Berry
- University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Juan Carlos Kaski
- Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
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Peretti N, Vimont A, Mas E, Ferrières J, Tounian P, Lemale J, Boccara F, Di Filippo M, Charriere S, Moulin P, Poinsot P, Cottin Y, Ducluzeau PH, Dourmap C, Cariou B, Farnier M, Paillard F, Pradignac A, Yelnik C, Gallo A, Bruckert E, Beliard S. Factors Predicting Statin Initiation During Childhood in Familial Hypercholesterolemia: Importance of Genetic Diagnosis. J Pediatr 2023; 253:18-24.e2. [PMID: 36049522 DOI: 10.1016/j.jpeds.2022.08.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 08/18/2022] [Accepted: 08/24/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To identify childhood and parental factors associated with initiation of statin therapy in children with heterozygous familial hypercholesterolemia (HeFH), including underlying genetic diagnosis or parental premature atherosclerotic cardiovascular disease (ASCVD). STUDY DESIGN This multicenter cohort study included 245 HeFH child-parent pairs from the REFERCHOL national register (2014-2020). Demographic and clinical characteristics at the last visit were collected. Vascular disease in parents was defined as a history of ASCVD, and/or a coronary artery calcium score >100, and/or stenosis of >50% in at least carotid artery. Statistical analyses included descriptive analysis, logistic regression for univariate and multivariate effects of statins, and a sensitivity analysis combining the characteristics of children and parents. RESULTS Among the 245 children in the study cohort, 135 (58%), with a mean age of 14 ± 3 years, were treated with a statin. In multivariable analysis, the predictive childhood factors associated with statin treatment were genetic diagnosis (OR, 2.5; 95% CI, 1.3 to 4.9; P = .01), older age (OR, 4.4; 95% CI, 1.8-10.6; P = .01), more than 2 visits (OR, 2.36; 95% CI, 1.18-4.73; P = .015), and longer duration of follow-up (OR, 1.3; 95% CI, 1.1-1.6; P < .001). The predictive parental factor associated with childhood treatment was the presence of vascular disease (OR, 2.4; 95% CI, 1.0-5.7; P = .04). CONCLUSIONS HeFH confirmed by DNA testing during childhood and a history of vascular disease in parents were independently associated with statin treatment in children with HeFH. Genetic diagnosis may be useful for cardiovascular prevention in children.
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Affiliation(s)
- Noel Peretti
- Hospices Civil de Lyon, Pediatric Hospital Femme Mere Enfant HFME, Department of Pediatric Gastroenterology-Hepatology and Nutrition, Bron, France; Lyon University, Claude Bernard Lyon-1 University, Lyon Est Medical school, Place d'Arsonval, Lyon, France; INSERM, CarMeN laboratory, U1060, Oullins, France
| | - Alexandre Vimont
- Real World Evidence, Department of Public Health Expertise, Paris, France
| | - Emmanuel Mas
- CHU of Toulouse, Children Hospital, Department of pediatrics, Unit of Gastroenterology, Hepatology, Nutrition, and Inborn Errors of Metabolism, Toulouse, France; Toulouse University, Institute of Research in Digestive Science IRSD, INSERM U-1220, Team 6, Toulouse, France
| | - Jean Ferrières
- CHU of Toulouse, Toulouse Rangueil University Hospital, Department of Cardiology, Toulouse, France; INSERM UMR 1295, Toulouse University School of Medicine, Toulouse, France
| | - Patrick Tounian
- Assistance publique - Hôpitaux de Paris AP-HP, Trousseau Hospital, Department of Pediatric Nutrition and Gastroenterology, Paris, France; Sorbonne University, Paris, France
| | - Julie Lemale
- Assistance publique - Hôpitaux de Paris AP-HP, Trousseau Hospital, Department of Pediatric Nutrition and Gastroenterology, Paris, France
| | - Franck Boccara
- Assistance Publique - Hôpitaux de Paris AP-HP, Saint Antoine University Hospital, Department of Cardiology, Paris, France; Sorbonne University, Clinical Research Group No. 22, Cardiovascular and Metabolic Complications in People Living with HIV, Inserm UMR-S 938, Saint Antoine Research Center, Cardiometabolic and Nutrition Institute of Research (ICAN), Paris, France
| | - Mathilde Di Filippo
- INSERM, CarMeN laboratory, U1060, Oullins, France; Hospices Civil de Lyon, Department of Biochemistry and Molecular Biology, Laboratory of Medical Biology, Bron, France
| | - Sybil Charriere
- INSERM, CarMeN laboratory, U1060, Oullins, France; Hospices Civil de Lyon, Cardiologic Hospital Louis Pradel, Department of Endocrinology and Nutrition, Bron, France
| | - Philippe Moulin
- INSERM, CarMeN laboratory, U1060, Oullins, France; Hospices Civil de Lyon, Cardiologic Hospital Louis Pradel, Department of Endocrinology and Nutrition, Bron, France
| | - Pierre Poinsot
- Hospices Civil de Lyon, Pediatric Hospital Femme Mere Enfant HFME, Department of Pediatric Gastroenterology-Hepatology and Nutrition, Bron, France
| | - Yves Cottin
- CHU of Dijon, Department of Cardiology, Dijon, France
| | | | - Caroline Dourmap
- CHU of Rennes, Rennes University, Center of Cardiovascular-Prevention, Department of Cardiology, Rennes, France
| | - Bertrand Cariou
- CHU of Nantes, Laennec Hospital, Department of Endocrinology, Metabolic and Nutrition, Nantes, France; INSERM, UMR-C 6291, Thorax Institut, Nantes, France
| | - Michel Farnier
- University of Bourgogne Franche-Comté, PEC2 Team, Dijon Cedex, France
| | - François Paillard
- CHU of Rennes, Rennes University, Center of Cardiovascular-Prevention, Department of Cardiology, Rennes, France
| | - Alain Pradignac
- CHU of Strasbourg, University Hospital of Hautepierre, Department of Internal Medicine, Endocrinology and Nutrition, Strasbourg, France
| | - Cécile Yelnik
- CHUR of Lille, Department of Internal Medicine and Immunology, Lille, France; INSERM, UMR 1167 RID-AGE, Lille, France
| | - Antonio Gallo
- Assistance Publique, Hôpitaux de Paris AP-HP, Pitié-Salpêtrière Hospital, Department of Nutrition, Lipidology and Cardiovascular Prevention Unit, Paris, France; INSERM, Sorbonne University, Research Unit on Cardiovascular and Metabolic Diseases, ICAN, Paris, France
| | - Eric Bruckert
- Assistance Publique, Hôpitaux de Paris AP-HP, Pitié-Salpêtrière Hospital, Department of Nutrition, Lipidology and Cardiovascular Prevention Unit, Paris, France; Assistance publique - Hôpitaux de Marseille APHM, La Conception Hospital, Nutrition, Metabolic Diseases and Endocrinology Department, Marseille, France
| | - Sophie Beliard
- Assistance publique - Hôpitaux de Marseille APHM, La Conception Hospital, Nutrition, Metabolic Diseases and Endocrinology Department, Marseille, France; INSERM, INRAE, Aix Marseille Université, Department C2VN, Marseille, France
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Monoclonal Antibodies, Gene Silencing and Gene Editing (CRISPR) Therapies for the Treatment of Hyperlipidemia-The Future Is Here. Pharmaceutics 2023; 15:pharmaceutics15020459. [PMID: 36839781 PMCID: PMC9963609 DOI: 10.3390/pharmaceutics15020459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/29/2022] [Accepted: 01/06/2023] [Indexed: 01/31/2023] Open
Abstract
Hyperlipidemia is a significant risk factor for atherosclerotic cardiovascular disease. Undertreatment of elevated lipids persists despite existing therapies. Here, we provide an update on monoclonal antibodies, gene silencing therapies, and gene editing techniques for the management of hyperlipidemia. The current era of cutting-edge pharmaceuticals targeting low density lipoprotein cholesterol, PCSK9, lipoprotein (a), angiopoietin-like 3, and apolipoprotein C3 are reviewed. We outline what is known, studies in progress, and futuristic goals. This review of available and upcoming biotechnological lipid therapies is presented for clinicians managing patients with familial hyperlipidemia, statin intolerance, hypertriglyceridemia, or elevated lipoprotein (a) levels.
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Haskiah F, Erez D, Khaskia A. Familial Hypercholesterolemia Among Young Adults With Acute Coronary Syndrome. Am J Cardiol 2023; 186:189-195. [PMID: 36270825 DOI: 10.1016/j.amjcard.2022.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/11/2022] [Accepted: 09/28/2022] [Indexed: 11/27/2022]
Abstract
There are limited data on the prevalence and treatment of familial hypercholesterolemia (FH) among Israeli adults who experience premature acute coronary syndrome (ACS). This study aimed to assess the prevalence of FH among young Israeli adults with ACS, examine the rates of lipid-lowering therapy administration, and determine low-density lipoprotein-cholesterol (LDL-C) levels 1 year after ACS. Patients aged ≤55 years hospitalized for ACS at Meir Medical Center between 2018 and 2019 were included. Probable/definite FH was defined using the Dutch Lipid Clinic criteria. Outcomes included the proportion of patients with probable or definite FH, rate of use of lipid-lowering medications, LDL-C levels 1 year postadmission, and major adverse cardiovascular and cerebrovascular events during 30 months of follow-up. The study population comprised 687 young adults with a median age of 48.5 years. Definite/probable FH was present in 61 patients (8.9%). At 1 year of follow-up, the proportions of patients without FH who had LDL-C levels <70 and <55 mg/100 ml were higher than those of patients with FH (55.9% vs 18%, p <0.001 and 35.8% vs 11.5%, p <0.001, respectively). At 1 year of follow-up, only 47.5% and 22% of patients with FH were treated with ezetimibe and proprotein convertase subtilisin/kexin type 9 inhibitor than were those without FH. The incidence of major adverse cardiovascular and cerebrovascular events was significantly higher among patients with FH. In conclusion, clinically defined FH was present in nearly 1 of 11 patients with premature ACS. There is a necessity for more aggressive lipid-lowering therapies in patients with FH after experiencing ACS.
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Affiliation(s)
- Feras Haskiah
- Department of Internal Medicine D, Meir Medical Center, Kfar Saba, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Daniel Erez
- Department of Internal Medicine D, Meir Medical Center, Kfar Saba, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Abid Khaskia
- Department of Cardiology, Meir Medical Center, Kfar Saba, Israel
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Yang C, Jia X, Wang Y, Fan J, Zhao C, Yang Y, Shi X. Trends and influence factors in the prevalence, intervention, and control of metabolic syndrome among US adults, 1999-2018. BMC Geriatr 2022; 22:979. [PMID: 36536296 PMCID: PMC9764589 DOI: 10.1186/s12877-022-03672-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
AIM We aimed to describe the trends in the prevalence, intervention, and control of metabolic syndrome (MetS) among US adults through 1999-2018. Additionally, the influence factors of MetS and its control were further explored. METHODS We included participants older than 20 using the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 (n = 22,114). The rate of prevalence, intervention, and control of MetS were caculated by survey weights. Joinpoint regression and survey-weighted generalized linear models were used to analyze trends and influence factors, respectively. RESULTS The prevalence of MetS increased from 28.23 to 37.09% during 1999-2018 (P for trend < 0.05). The former smoker (OR = 1.20, 95%CI: 1.07, 1.36) and current smoker (OR = 1.27, 95%CI: 1.11, 1.45) increased the prevalence of MetS. While vigorous activity (OR = 0.53, 95%CI: 0.47, 0.61) decreased it. Among MetS components, the prevalence of elevated blood-glucose (from 21.18 to 34.68%) and obesity (from 44.81 to 59.06%) raised (P for trend < 0.05), with an uptrend in the use of antidiabetic (from 9.87 to 28.63%) and a downtrend of vigorous activity (from 23.79 to 16.53%) (P for trend < 0.05). Decreased trends were observed in the control of Hb1Ac (< 7%) (from 87.13 to 84.06%) and BMI (<25 kg/m2) (from 11.36 to 7.49%). Among MetS underwent antidiabetic, 45-64 years old and male decreased the control of Hb1Ac (< 7%). The control of BMI (<25 kg/m2) among individuals with physical activity was reduced mainly in the population of younger (aged 20-44 years old), male, non-Hispanic black, middle income and smoker (former and current). CONCLUSIONS The prevalence of MetS increased significantly through 1999-2018. Elevated blood glucose and obesity were the main causes of MetS burden. Quitting smoking and increasing physical activity may decrease the prevalence of MetS. In the control of blood-glucose and obesity, we should screen out the focus population to modify treatment and improve lifestyle.
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Affiliation(s)
- Chaojun Yang
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Xiaocan Jia
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Yuping Wang
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Jingwen Fan
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Chenyu Zhao
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Yongli Yang
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
| | - Xuezhong Shi
- grid.207374.50000 0001 2189 3846Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001 Henan China
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Manohar HD, Karkour C, Desai RN. Influencing Appropriate Statin Use in a Charity Care Primary Clinic. Healthcare (Basel) 2022; 10:healthcare10122437. [PMID: 36553961 PMCID: PMC9778001 DOI: 10.3390/healthcare10122437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 12/12/2022] Open
Abstract
According to the American College of Cardiology/American Heart Association (ACC/AHA) new cholesterol management guidelines in 2019, statin regimen was prescribed to only about 46.4% and 30% of diabetes (DM) patients and patients with atherosclerotic cardiovascular disease (ASCVD), respectively. Atherosclerotic cardiovascular disease accounts for most deaths and disabilities in North America. This study argues that a systematic approach to identifying targeted interventions to adhere to the statin regimen for ASCVD is sparse in previous studies. This study seeks to address the research gap. Besides, the study argues that the statin regimen could improve cholesterol management with the enablers of pharmacy, providers, electronic medical records (E.M.R.), and patients. It paves the way for future research on cardiovascular and statin regimens from different perspectives. Current study has adopted the Qualitative observation method. Accordingly, the study approached the charity care primary clinic serving a large population in the northeastern part of the United States, which constitutes the project's setting. The facility has 51 internal medicine residents. The facility has E.H.R., which is used by the clinical staff. Besides, providers use electronic medication prescribing (E-Scribe). Four PDSA cycles were run in six months. Here, the interventions were intensified during each subsequent cycle. The interventions were then incorporated into routine clinical practice. Based on the observation, the study found a 25% relative improvement by six months based on the baseline data of the appropriate intensity statin prescription for patients with ASCVD or DM by medical resident trainees in our single-center primary care clinic. A total of 77% of cardiovascular disease patients were found to be on an appropriate statin dose at baseline. On the other hand, the proportion of patients with DM who were on proper dose statin was 80.4%. According to the study's findings, PDSA could result in a faster uptake and support of the ACC/AHA guidelines. Evidence indicates that overmedication of persons at low risk and time constraints are some of the most significant impediments to the greater use of prescription medications. Proactive panel management can help improve statins' use by ensuring they are used appropriately.
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Affiliation(s)
- Hasitha Diana Manohar
- Department of Internal Medicine, Loyola University Medical Center, Maywood, IL 60153, USA
- Correspondence:
| | - Carole Karkour
- Department of Internal Medicine, Wood Johnson Medical School, Saint Peter’s University Hospital and Rutgers Robert, New Brunswick, NJ 08901, USA
| | - Rajesh N. Desai
- Department of Internal Medicine, Wood Johnson Medical School, Saint Peter’s University Hospital and Rutgers Robert, New Brunswick, NJ 08901, USA
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Huang PH, Lu YW, Tsai YL, Wu YW, Li HY, Chang HY, Wu CH, Yang CY, Tarng DC, Huang CC, Ho LT, Lin CF, Chien SC, Wu YJ, Yeh HI, Pan WH, Li YH. 2022 Taiwan lipid guidelines for primary prevention. J Formos Med Assoc 2022; 121:2393-2407. [PMID: 35715290 DOI: 10.1016/j.jfma.2022.05.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/01/2022] [Accepted: 05/17/2022] [Indexed: 12/14/2022] Open
Abstract
Elevated circulating low-density lipoprotein cholesterol (LDL-C) is a major risk factor of atherosclerotic cardiovascular disease (ASCVD). Early control of LDL-C to prevent ASCVD later in life is important. The Taiwan Society of Lipids and Atherosclerosis in association with the other seven societies developed this new lipid guideline focusing on subjects without clinically significant ASCVD. In this guideline for primary prevention, the recommended LDL-C target is based on risk stratification. A healthy lifestyle with recommendations for foods, dietary supplements and alcohol drinking are described. The pharmacological therapies for LDL-C reduction are recommended. The aim of this guideline is to decrease the risk of ASCVD through adequate control of dyslipidemia in Taiwan.
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Affiliation(s)
- Po-Hsun Huang
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine and Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ya-Wen Lu
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine and Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Lin Tsai
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine and Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Wen Wu
- Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City, Taiwan; Department of Nuclear Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hung-Yuan Li
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsin-Yun Chang
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Allied Health Science, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hsing Wu
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Yu Yang
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Der-Cherng Tarng
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chin-Chou Huang
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Ting Ho
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, Taiwan; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taiwan
| | - Chao-Feng Lin
- Cardiovascular Center, Department of Medical Research, MacKay Memorial Hospital, New Taipei City, Taiwan; Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Shih-Chieh Chien
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan; Department of Critical Care Medicine, MacKay Memorial Hospital, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yih-Jer Wu
- Cardiovascular Center, Department of Medical Research, MacKay Memorial Hospital, New Taipei City, Taiwan; Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Hung-I Yeh
- Cardiovascular Center, Department of Medical Research, MacKay Memorial Hospital, New Taipei City, Taiwan; Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yi-Heng Li
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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Saadatagah S, Alhalabi L, Farwati M, Zordok M, Bhat A, Smith CY, Wood-Wentz CM, Bailey KR, Kullo IJ. The burden of severe hypercholesterolemia and familial hypercholesterolemia in a population-based setting in the US. Am J Prev Cardiol 2022; 12:100393. [PMID: 36204653 PMCID: PMC9530843 DOI: 10.1016/j.ajpc.2022.100393] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/08/2022] [Accepted: 09/24/2022] [Indexed: 12/21/2022] Open
Abstract
Background Contemporary prevalence, awareness, and control of severe hypercholesterolemia (SH) and familial hypercholesterolemia (FH) and the associated atherosclerotic cardiovascular disease risk in the US are unknown. Method Using electronic health records, we assessed the burden of SH and FH in Olmsted County, Minnesota, US, between 2004 and 2015. We defined SH as low-density lipoprotein cholesterol (LDL-C) level ≥190 mg/dl without secondary causes of hypercholesterolemia and FH as a Dutch Lipid Clinic Network score ≥6. Controls were age- and sex-matched individuals with LDL-C level <190 mg/dl. Results The age- and sex-adjusted point and period prevalence (age-recursive method) of SH was 4.44% and 8.95%, respectively; 1 in 21 had FH (∼1:233 adults), and 46.2% had a recorded diagnosis. Guideline recommended targets (LDL-C <100 mg/dl and <70 mg/dl in the primary and secondary prevention settings, respectively) were achieved in 33.1% and 21.2% of SH cases, with less women overall achieving the target than men (18.6% vs. 23.7%, p=0.022). After adjustment for conventional risk factors, the hazard ratio for incident coronary heart disease (CHD) in those with SH was 1.21 (1.05-1.39; p=0.010), in those with SH and a family history of CHD was 2.16 (1.57-2.96; p<0.001) and in those with FH was 4.61 (2.66-7.97; p<0.001). The association of SH with CHD was modified by age (p-interaction = 0.015), such that the risk was greater at younger ages. Conclusions SH was prevalent and an independent risk factor for incident CHD. Awareness and control were low, highlighting a treatment gap (more prominent in women) that needs to be addressed.
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Affiliation(s)
| | - Lubna Alhalabi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Medhat Farwati
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Magdi Zordok
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ashwini Bhat
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Carin Y. Smith
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | | | - Kent R. Bailey
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA
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Zhang K, Qi X, Zhu F, Dong Q, Gou Z, Wang F, Xiao L, Li M, Chen L, Wang Y, Zhang H, Sheng Y, Kong X. Remnant cholesterol is associated with cardiovascular mortality. Front Cardiovasc Med 2022; 9:984711. [PMID: 36204586 PMCID: PMC9530659 DOI: 10.3389/fcvm.2022.984711] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundGenetic, observational, and clinical intervention studies indicate that circulating levels of remnant cholesterol (RC) are associated with cardiovascular diseases. However, the predictive value of RC for cardiovascular mortality in the general population remains unclear.MethodsOur study population comprised 19,650 adults in the United States from the National Health and Nutrition Examination Survey (NHANES) (1999–2014). RC was calculated from non-high-density lipoprotein cholesterol (non-HDL-C) minus low-density lipoprotein cholesterol (LDL-C) determined by the Sampson formula. Multivariate Cox regression, restricted cubic spline analysis, and subgroup analysis were applied to explore the relationship of RC with cardiovascular mortality.ResultsThe mean age of the study cohort was 46.4 ± 19.2 years, and 48.7% of participants were male. During a median follow-up of 93 months, 382 (1.9%) cardiovascular deaths occurred. In a fully adjusted Cox regression model, log RC was significantly associated with cardiovascular mortality [hazard ratio (HR) 2.82; 95% confidence interval (CI) 1.17–6.81]. The restricted cubic spline curve indicated that log RC had a linear association with cardiovascular mortality (p for non-linearity = 0.899). People with higher LDL-C (≥130 mg/dL), higher RC [≥25.7/23.7 mg/dL in males/females corresponding to the LDL-C clinical cutoff point (130 mg/dL)] and abnormal HDL-C (<40/50 mg/dL in males/females) levels had a higher risk of cardiovascular mortality (HR 2.18; 95% CI 1.13–4.21 in males and HR 2.19; 95% CI 1.24–3.88 in females) than the reference group (lower LDL-C, lower RC and normal HDL-C levels).ConclusionsElevated RC levels were associated with cardiovascular mortality independent of traditional risk factors.
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Affiliation(s)
- Kerui Zhang
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Xiangyun Qi
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Fuyu Zhu
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Quanbin Dong
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Zhongshan Gou
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Fang Wang
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Li Xiao
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Menghuan Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Lianmin Chen
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Yifeng Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Haifeng Zhang
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yanhui Sheng
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
- *Correspondence: Yanhui Sheng
| | - Xiangqing Kong
- Cardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
- Xiangqing Kong
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Akioyamen LE, Chu A, Genest J, Lee DS, Abdel-Qadir H, Jackevicius CA, Lawler PR, Sud M, Udell JA, Wijeysundera HC, Ko DT. Prevalence and Treatment of Familial Hypercholesterolemia and Severe Hypercholesterolemia in Older Adults in Ontario, Canada. CJC Open 2022; 4:739-747. [PMID: 36148251 PMCID: PMC9486867 DOI: 10.1016/j.cjco.2022.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Background A simplified Canadian definition was recently developed to enable identification of individuals with familial hypercholesterolemia (FH) and severe hypercholesterolemia in the general population. Our objective was to use a modified version of this new definition to assess contemporary disease prevalence, treatment patterns, and low-density lipoprotein cholesterol (LDL-C) control in Ontario, Canada. Methods We identified individuals aged 66 to 105 years who were alive as of January 1, 2011, using the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) database, which was created by linking 19 population-based health databases in Ontario. Hypercholesterolemia was identified using LDL-C values. Cholesterol reduction and lipid-lowering treatment were assessed at time of diagnosis and after at least 2 and 5 years’ follow-up. Results Among 922,464 individuals, 2440 (0.26%) met criteria for definite or probable FH, and 72,893 (7.90%) for severe hypercholesterolemia. At diagnosis, mean LDL-C concentration was 9.52 mmol/L for those with definite FH, 5.83 mmol/L for those with probable FH, 5.73 mmol/L for those with severe hypercholesterolemia, and 3.33 mmol/L for all other individuals. After > 5 years, LDL-C concentration remained elevated at 3.58 mmol/L for those with definite FH, 2.72 mmol/L for those with probable FH, and 2.93 mmol/L for those with severe hypercholesteremia. Use of statin therapy was initially high (83% of those with definite FH, 78% of those with probable FH, 62% of those with severe hypercholesterolemia); however, fewer patients remained on statins at follow-up at > 5 years (62% of those with definite FH, 67% of those with probable FH, 58% of those with severe hypercholesterolemia). Conclusions Among older Ontarians, we estimated that 1 in 378 individuals had FH, and 1 in 13 had severe hypercholesterolemia. Despite being at substantially increased cardiovascular risk, these patients acheived suboptimal LDL-C level control and fewer were on medical therapy at follow-up.
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Griffith N, Bigham G, Sajja A, Gluckman TJ. Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients. Curr Cardiol Rep 2022; 24:1387-1396. [PMID: 35994196 DOI: 10.1007/s11886-022-01767-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care. RECENT FINDINGS The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.
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Affiliation(s)
- Nayrana Griffith
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA.
| | - Grace Bigham
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Aparna Sajja
- Division of Cardiology, Medstar Georgetown University Hospital-Washington Hospital Center, Washington, DC, USA
| | - Ty J Gluckman
- Center for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, OR, USA
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Bellows BK, Khera AV, Zhang Y, Ruiz-Negrón N, Stoddard HM, Wong JB, Kazi DS, de Ferranti SD, Moran AE. Estimated Yield of Screening for Heterozygous Familial Hypercholesterolemia With and Without Genetic Testing in US Adults. J Am Heart Assoc 2022; 11:e025192. [PMID: 35583136 PMCID: PMC9238728 DOI: 10.1161/jaha.121.025192] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Heterozygous familial hypercholesterolemia (FH) is a common genetic disorder causing premature cardiovascular disease. Despite this, there is no national screening program in the United States to identify individuals with FH or likely pathogenic FH genetic variants. Methods and Results The clinical characteristics and FH variant status of 49 738 UK Biobank participants were used to develop a regression model to predict the probability of having any FH variants. The regression model and modified Dutch Lipid Clinic Network criteria were applied to 39 790 adult participants (aged ≥20 years) in the National Health and Nutrition Examination Survey to estimate the yield of FH screening programs using Dutch Lipid Clinic Network clinical criteria alone (excluding genetic variant status), genetic testing alone, or combining clinical criteria with genetic testing. The regression model accurately predicted FH variant status in UK Biobank participants (observed prevalence, 0.27%; predicted, 0.26%; area under the receiver-operator characteristic curve, 0.88). In the National Health and Nutrition Examination Survey, the estimated yield per 1000 individuals screened (95% CI) was 3.7 (3.0-4.6) FH cases with the Dutch Lipid Clinic Network clinical criteria alone, 3.8 (2.7-5.1) cases with genetic testing alone, and 6.6 (5.3-8.0) cases by combining clinical criteria with genetic testing. In young adults aged 20 to 39 years, using clinical criteria alone was estimated to yield 1.3 (95% CI, 0.6-2.5) FH cases per 1000 individuals screened, which was estimated to increase to 4.2 (95% CI, 2.6-6.4) FH cases when combining clinical criteria with genetic testing. Conclusions Screening for FH using a combination of clinical criteria with genetic testing may increase identification and the opportunity for early treatment of individuals with FH.
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Affiliation(s)
| | - Amit V Khera
- Center for Genomic Medicine Massachusetts General Hospital Boston MA.,Cardiovascular Disease Initiative Broad Institute of MIT and Harvard Cambridge MA.,Department of Medicine Harvard Medical School Boston MA
| | - Yiyi Zhang
- Department of Medicine Columbia University New York NY
| | | | | | - John B Wong
- Department of Medicine Tufts Medical Center Boston MA
| | - Dhruv S Kazi
- Department of Medicine Harvard Medical School Boston MA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology Beth Israel Deaconess Medical Center Boston MA
| | - Sarah D de Ferranti
- Department of Pediatrics Harvard Medical School Boston MA.,Department of Cardiology Boston Children's Hospital Boston MA
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Jasani R, Ahmad Z, Schneider R, Tujardon C, Basit M, Khera A. Applying an LDL-C threshold-based approach to identify individuals with familial hypercholesterolemia. J Clin Lipidol 2022; 16:508-515. [DOI: 10.1016/j.jacl.2022.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 01/10/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
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48
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Prevalence and patient characteristics of familial hypercholesterolemia in a middle-aged Chinese population: Results from China PEACE Million Persons Project. Atherosclerosis 2022; 350:58-64. [DOI: 10.1016/j.atherosclerosis.2022.03.027] [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: 02/20/2021] [Revised: 03/17/2022] [Accepted: 03/29/2022] [Indexed: 11/24/2022]
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49
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Eid WE, Sapp EH, Wendt A, Lumpp A, Miller C. Improving Familial Hypercholesterolemia Diagnosis Using an EMR-based Hybrid Diagnostic Model. J Clin Endocrinol Metab 2022; 107:1078-1090. [PMID: 34871430 PMCID: PMC8947798 DOI: 10.1210/clinem/dgab873] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Familial hypercholesterolemia (FH) confers a greatly increased risk for premature cardiovascular disease, but remains very underdiagnosed and undertreated in primary care populations. OBJECTIVE We assessed whether using a hybrid model consisting of 2 existing FH diagnostic criteria coupled with electronic medical record (EMR) data would accurately identify patients with FH in a Midwest US metropolitan healthcare system. METHODS We conducted a retrospective, records-based, cross-sectional study using datasets from unique EMRs of living patients. Using Structured Query Language to identify components of 2 currently approved FH diagnostic criteria, we created a hybrid model to identify individuals with FH. RESULTS Of 264 264 records analyzed, between 794 and 1571 patients were identified as having FH based on the hybrid diagnostic model, with a prevalence of 1:300 to 1:160. These patients had a higher prevalence of premature coronary artery disease (CAD) (38-58%) than the general population (1.8%) and higher than those having a high CAD risk but no FH (10%). Although most patients were receiving lipid-lowering therapies (LLTs), only 50% were receiving guideline-recommended high-intensity LLT. CONCLUSION Using the hybrid model, we identified FH with a higher clinical and genetic detection rate than using standard diagnostic criteria individually. Statin and other LLT use were suboptimal and below guideline recommendations. Because FH underdiagnosis and undertreatment are due partially to the challenges of implementing existing diagnostic criteria in a primary care setting, this hybrid model potentially can improve FH diagnosis and subsequent early access to appropriate treatment.
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Affiliation(s)
- Wael E Eid
- St. Elizabeth Physicians Regional Diabetes Center, Covington, KY 41011, USA
- College of Medicine, University of Kentucky, Lexington, KY 41011, USA
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD 41011, USA
- Faculty of Medicine, Department of Internal Medicine, Endocrine Unit, Alexandria University, Alexandria, Egypt
| | | | - Abby Wendt
- Department of Mathematics and Statistics, Northern Kentucky University, Highland Heights, KY 41099, USA
| | - Amity Lumpp
- St. Elizabeth Healthcare, Edgewood, KY 41017, USA
| | - Carl Miller
- Department of Mathematics and Statistics, Northern Kentucky University, Highland Heights, KY 41099, USA
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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: 2562] [Impact Index Per Article: 1281.0] [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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