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Langsted A, Nordestgaard BG. Worldwide Increasing Use of Nonfasting Rather Than Fasting Lipid Profiles. Clin Chem 2024; 70:911-933. [PMID: 38646857 DOI: 10.1093/clinchem/hvae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/13/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND Historically, lipids and lipoproteins were measured in the fasting state for cardiovascular risk prediction; however, since 2009 use of nonfasting lipid profiles has increased substantially worldwide. For patients, nonfasting lipid profiles are convenient and avoid any risk of hypoglycemia. For laboratories, blood sampling in the morning and extra visits for patients who have not fasted are avoided. For patients, clinicians, hospitals, and society, nonfasting sampling allows same-day visits with first blood sampling followed by a short wait for test results before clinical consultation. Therefore, nonfasting compared to fasting lipid profiles will save money and time and may improve patient compliance with cardiovascular prevention programs. CONTENT We report on the progression of endorsement and implementation of nonfasting lipid profiles for cardiovascular risk prediction worldwide and summarize the recommendations from major medical societies and health authorities in different countries. We also describe practical advantages and disadvantages for using nonfasting lipid profiles. Further, we include a description of why fasting has been the standard historically, the barriers against implementation of nonfasting lipid profiles, and finally we suggest the optimal content of a nonfasting lipid profile. SUMMARY Lipid, lipoprotein, and apolipoprotein concentrations vary minimally in response to normal food intake and nonfasting lipid profiles are equal or superior to fasting profiles for cardiovascular risk prediction. Major guidelines and consensus statements in Europe, the United States, Canada, Brazil, Japan, India, and Australia now endorse use of nonfasting lipid profiles in some or all patients; however, there are still gaps in endorsement and implementation of nonfasting lipid profiles worldwide.
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Affiliation(s)
- Anne Langsted
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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de Oliveira AD, Dos Santos AR, de Oliveira LC, Nogueira Neto JF. The relevance of the optional use of fasting in laboratory measurements that make up the lipid profile: A systematic literature review. J Pharm Biomed Anal 2024; 240:115925. [PMID: 38154369 DOI: 10.1016/j.jpba.2023.115925] [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: 05/08/2023] [Revised: 10/28/2023] [Accepted: 12/13/2023] [Indexed: 12/30/2023]
Abstract
The objective of this study was to evaluate the impact of fasting easing on laboratory measurements of the lipid profile, in order to contribute to the fidelity of interpretation of laboratory results. Starting in October 2022, a Systematic Literature Review (SRL) was carried out, using articles indexed in the electronic databases PubMed/MEDLINE, EMBASE, Scopus, LILACS and Cochrane Library, following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes Group (PRISMA). This RSL was registered with PROSPERO, under registration number CRD42022370007. For inclusion, articles had to be original and developed in humans. After evaluating the methodological quality and analyzing the risk of bias, we obtained 16 articles published between 1994 and 2021, providing data on a total of 398,709 individuals, aged between 3 and 93 years. According to the selected studies, lipid profile measurements performed with flexible fasting, in addition to bringing benefits to patients and the pre-analytical system of the clinical laboratory, are more suitable for determining cardiovascular risk, mainly through the assessment of values obtained in the determination of triglycerides. It is therefore concluded that the optional use of fasting must be established through medical advice. In addition, laboratory methods and readings must be readjusted to this reality, informing through the report the parameters related to the lipid profile with and without the use of a 12-hour fast.
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Affiliation(s)
- Aliene Dias de Oliveira
- State University of Rio de Janeiro - UERJ, Lipid Laboratory, Piquet Carneiro Polyclinic, 381, Marechal Rondon Avenue, São Francisco Xavier, Rio de Janeiro, RJ 20950003, Brazil.
| | - Amanda Ribeiro Dos Santos
- State University of Rio de Janeiro - UERJ, Lipid Laboratory, Piquet Carneiro Polyclinic, 381, Marechal Rondon Avenue, São Francisco Xavier, Rio de Janeiro, RJ 20950003, Brazil
| | - Lívia Costa de Oliveira
- National Cancer Institute José Alencar Gomes da Silva - INCA, Palliative Care Unit, 274, Visconde de Santa Isabel Street, Vila Isabel, Rio de Janeiro, RJ 20560-121, Brazil
| | - José Firmino Nogueira Neto
- State University of Rio de Janeiro - UERJ, Lipid Laboratory, Piquet Carneiro Polyclinic, 381, Marechal Rondon Avenue, São Francisco Xavier, Rio de Janeiro, RJ 20950003, Brazil
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3
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Xiong L, Zeng Z, Wang S, Liao T, Wang X, Wang X, Yang G, Li Y, Li L, Zhu J, Zhao P, Yang S, Kang L, Liang Z. The association of handgrip strength with all-cause and cardiovascular mortality: results from the National Health and Nutrition Examination Survey database prospective cohort study with propensity score matching. Front Nutr 2023; 10:1183973. [PMID: 37781126 PMCID: PMC10541216 DOI: 10.3389/fnut.2023.1183973] [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: 03/28/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Objective To investigate the association between handgrip strength (HGS) with all-cause and cardiovascular disease (CVD) mortality in US adults. Method We analyzed data from the National Health and Nutrition Examination Survey (NHANES) prospective cohort study (2011-2014) with 10,470 participants. The cox regression analysis, Kaplan-Meier survival curves, fitted curves, ROC curves, and propensity score-matched analysis (PSM) with inverse probability of treatment weighting (IPTW), SMRW (PSM with repeated weights), PA (pairwise algorithm), and OW (overlap weighting) regression analysis were performed to assess the relationship between HGS and all-cause and CVD mortality. Results The low HGSs (men <37.4 kg, women <24 kg), was found to be associated with higher all-cause and CVD mortality in a reverse J-shaped curve (p < 0.05). Adjusting for multiple covariates including age, BMI, race, education level, marriage status, smoking and alcohol use, and various comorbidities, the hazard ratio (HR) for all-cause mortality in the lowest HGS quintile 1 (Q1) was 3.45 (2.14-5.58) for men and 3.3 (1.88-5.79) for women. For CVD mortality, the HR was 2.99 (1.07-8.37) for men and 10.35 (2.29-46.78) for women. The area under the curve (AUC) for HGS alone as a predictor of all-cause mortality was 0.791 (0.768-0.814) for men and 0.780 (0.752-0.807) for women (p < 0.05), while the AUC for HGS and age was 0.851 (0.830-0.871) for men and 0.848 (0.826-0.869) for women (p < 0.05). For CVD mortality, the AUC for HGS alone was 0.785 (95% CI 0.738-0.833) for men and 0.821 (95% CI 0.777-0.865) for women (p < 0.05), while the AUC for HGS and age as predictors of all-cause mortality was 0.853 (0.861-0.891) for men and 0.859 (0.821-0.896) for women (p < 0.05). The HGS Q1 (men <37.4 kg and women <24 kg) was matched separately for PSM. After univariate, multivariate Cox regression models, PSM, IPTW, SMRW, PA, and OW analyses, women had 2.37-3.12 and 2.92-5.12 HRs with low HGS for all-cause and CVD mortality, while men had 2.21-2.82 and 2.33-2.85 for all-cause and CVD mortality, respectively (p < 0.05). Conclusion Adults with low HGS exhibited a significantly increased risk of both all-cause and CVD mortality, regardless of gender. Additionally, low HGS served as an independent risk factor and predictor for both all-cause and CVD mortality.
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Affiliation(s)
- Lijiao Xiong
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Zhaohao Zeng
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Neurology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Shuojia Wang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Post-Doctoral Scientific Research Station of Basic Medicine, Jinan University, Guangzhou, China
| | - Tingfeng Liao
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Xiaohao Wang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Xinyu Wang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Guangyan Yang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Yanchun Li
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Lixing Li
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Jing Zhu
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Pengfei Zhao
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Shu Yang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Lin Kang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Zhen Liang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 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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5
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van der Ploeg MA, Poortvliet RKE, Bogaerts JMK, van der Klei VMGTH, Kerse N, Rolleston A, Teh R, Robinson L, Jagger C, Arai Y, Shikimoto R, Abe Y, Blom JW, Drewes YM, Gussekloo J. The Role of a Composite Fitness Score in the Association Between Low-Density Cholesterol and All-Cause Mortality in Older Adults: An Individual Patient Data Meta-Analysis. J Gerontol A Biol Sci Med Sci 2023; 78:1708-1716. [PMID: 37314150 PMCID: PMC10460558 DOI: 10.1093/gerona/glad148] [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: 12/31/2022] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND In the general population, an increase in low-density lipoprotein cholesterol (LDL-C) predicts higher cardiovascular disease risk, and lowering LDL-C can prevent cardiovascular disease and reduces mortality risk. Interestingly, in cohort studies that include very old populations, no or inverse associations between LDL-C and mortality have been observed. This study aims to investigate whether the association between LDL-C and mortality in the very old is modified by a composite fitness score. METHODS A 2-stage meta-analysis of individual participant data from the 5 observational cohort studies. The composite fitness score was operationalized by performance on a combination of 4 markers: functional ability, cognitive function, grip strength, and morbidity. We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality risk for a 1 mmol/L increase in LDL-C. Models were stratified by high/low composite fitness score. RESULTS Composite fitness scores were calculated for 2 317 participants (median 85 years, 60% females participants), of which 994 (42.9%) had a high composite fitness score, and 694 (30.0%) had a low-composite fitness score. There was an inverse association between LDL-C and 5-year mortality risk (HR 0.87 [95% CI: 0.80-0.94]; p < .01), most pronounced in participants with a low-composite fitness score (HR 0.85 [95% CI: 0.75-0.96]; p = .01), compared to those with a high composite fitness score (HR = 0.98 [95% CI: 0.83-1.15]; p = .78), the test for subgroups differences was not significant. CONCLUSIONS In this very old population, there was an inverse association between LDL-C and all-cause mortality, which was most pronounced in participants with a low-composite fitness scores.
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Affiliation(s)
- Milly A van der Ploeg
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Rosalinde K E Poortvliet
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Jonathan M K Bogaerts
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Veerle M G T H van der Klei
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ngaire Kerse
- School of Population Health, University of Auckland, Auckland, New Zealand
| | | | - Ruth Teh
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Louise Robinson
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Carol Jagger
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Yasumichi Arai
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Shikimoto
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Yukiko Abe
- Center for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Jeanet W Blom
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Yvonne M Drewes
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacobijn Gussekloo
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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Xiao L, Zhang K, Wang F, Wang M, Huang Q, Wei C, Gou Z. The LDL-C/ApoB ratio predicts cardiovascular and all-cause mortality in the general population. Lipids Health Dis 2023; 22:104. [PMID: 37480052 PMCID: PMC10362700 DOI: 10.1186/s12944-023-01869-1] [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: 05/02/2023] [Accepted: 07/05/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Generally, low-density lipoprotein (LDL) particle size can be inferred from the LDL cholesterol concentration to total apolipoprotein B concentration ratio (LDL-C/ApoB ratio, hereinafter called LAR), which is a good predictor of cardiovascular disease. However, the predictive ability of LAR for mortality risk in the general population is still unclear. This study aimed to explore the association between LAR and cardiovascular as well as all-cause mortality among American adults. METHODS The present study was a secondary analysis of existing data from the National Health and Nutrition Examination Survey (NHANES). The final analysis included 12,440 participants from 2005 to 2014. Survival differences between groups were visualized using Kaplan‒Meier curves and the log-rank test. The association of LAR with cardiovascular and all-cause mortality was evaluated using multivariate Cox regression and restricted cubic spline analysis. Age, sex, coronary artery disease, diabetes, lipid-lowering medication use and hypertriglyceridemia were analyzed in subgroup analyses. RESULTS The median age in the study cohort was 46.0 years [interquartile range (IQR): 31.0-62.0], and 6,034 (48.5%) participants were male. During the follow-up period, there were 872 (7.0%) all-cause deaths and 150 (1.2%) cardiovascular deaths. Compared with individuals without cardiovascular events, those who experienced cardiovascular deaths had a lower LAR (1.13 vs. 1.25) (P < 0.001). The adjusted Cox regression model indicated that lower LAR was an independent risk factor for both cardiovascular [hazard ratio (HR) = 0.304, 95% confidence interval (CI): 0.114-0.812] and all-cause mortality (HR = 0.408, 95% CI: 0.270-0.617). Moreover, a significant age interaction was observed (P for interaction < 0.05), and there was a strong association between LAR and mortality among participants over 65 years of age. Further analysis showed an inverse association between LAR and both cardiovascular and all-cause mortality. CONCLUSIONS LAR can independently predict cardiovascular and all-cause mortality in the general population.
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Affiliation(s)
- Li Xiao
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Kerui Zhang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Fang Wang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Min Wang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Qingxia Huang
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China
| | - Chenchen Wei
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China.
| | - Zhongshan Gou
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Guangji Road, Jiangsu, 215002, Suzhou, China.
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Kamrul-Hasan ABM, Talukder SK, Kabir MA, Mustari M, Un Nabi MM, Gaffar AJ, Hossain MF, Alam MS, Islam MR, Hannan MA, Zarin N, Paul AK, Akter F, Ahammed A, Kabir ML, Rahman MM, Asaduzzaman M, Saifuddin M, Chanda PK, Rafi MA, Hasan MJ, Selim S. Comparison of fasting and random lipid profiles among subjects with type 2 diabetes mellitus: an outpatient-based cross-sectional study in Bangladesh. Diabetol Metab Syndr 2023; 15:139. [PMID: 37365577 DOI: 10.1186/s13098-023-01120-y] [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] [Received: 07/15/2022] [Accepted: 06/21/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Despite the wide acceptability of fasting lipid profiles in practice, emerging evidence suggests that random lipid profiles might be a convenient alternative for lipid measurement. The objective of the present study was to compare the fasting and random lipid profile among subjects with type 2 diabetes mellitus (T2DM). METHODS The present cross-sectional study included 1543 subjects with T2DM visiting several endocrinology outpatient clinics throughout Bangladesh from January to December 2021. The fasting lipid profile was measured in the morning following 8-10 h of overnight fasting, and the random lipid profile was measured at any time of the day, irrespective of the last meal. The values of fasting and random lipids were compared using the Wilcoxon signed-rank test and Spearman rank correlation coefficients. RESULTS In this study, a good level of correlation was observed between fasting and random lipid levels [r = 0.793, p < 0.001 for triglyceride (TG); r = 0.873, p < 0.001 for low-density lipoprotein cholesterol (LDL-C); r = 0.609, p < 0.001 for high-density lipoprotein cholesterol (HDL-C); and r = 0.780, p < 0.001 for total cholesterol (TC)]. In addition, TG and TC levels increased by 14% and 0.51%, respectively, in the random state compared to the fasting state (p- <0.05), while LDL-C levels decreased by 0.71% (p-value 0.42). No change was noticed in the HDL-C level. The difference between fasting and random lipid profiles was similar irrespective of patients' age, sex, BMI, glucose-lowering drug(s), and lipid-lowering therapy. CONCLUSIONS Random lipid profile correlates significantly with fasting lipid profile with little difference. Hence, it might be a reliable alternative for fasting lipid profile in patients with T2DM.
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Affiliation(s)
- A B M Kamrul-Hasan
- Department of Endocrinology, Mymensingh Medical College, Mymensingh, Bangladesh.
| | | | - Md Ahamedul Kabir
- Department of Endocrinology, Rangpur Medical College, Rangpur, Bangladesh
- Department of Endocrinology, TMSS Medical College, Bogura, Bangladesh
| | - Marufa Mustari
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Md Masud Un Nabi
- Department of Endocrinology, Rajshahi Medical College, Rajshahi, Bangladesh
| | - Abu Jar Gaffar
- Department of Pathology, Naogaon Medical College, Naogaon, Bangladesh
| | - Md Firoj Hossain
- Department of Endocrinology, Mugda Medical College, Dhaka, Bangladesh
| | - Muhammad Shah Alam
- Department of Medicine, Army Medical College Cumilla, Cumilla, Bangladesh
| | | | | | - Nusrat Zarin
- Department of Endocrinology, Bangladesh Institute of Health Sciences, Dhaka, Bangladesh
| | - Ajit Kumar Paul
- Department of Endocrinology, Mainamoti Medical College, Cumilla, Bangladesh
| | - Farhana Akter
- Department of Endocrinology, Chittagong Medical College, Chittagong, Bangladesh
| | - Afsar Ahammed
- Department of Endocrinology, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Dhaka, Bangladesh
| | - Md Lutful Kabir
- Department of Endocrinology, Rangpur Medical College, Rangpur, Bangladesh
| | | | - Md Asaduzzaman
- Department of Endocrinology, Shaheed Sheikh Abu Naser Specialized Hospital, Khulna, Bangladesh
| | | | - Palash Kumar Chanda
- Department of Endocrinology, Mymensingh Medical College Hospital, Mymensingh, Bangladesh
| | | | | | - Shahjada Selim
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
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Chin RM, Rakhit R, Ditsworth D, Wang C, Bartholomeus J, Liu S, Mody A, Laishu A, Eastes A, Tai C, Kim RY, Li J, Hansberry S, Khasnavis S, Rafalski V, Herendeen D, Garda V, Phung J, de Roulet D, Ordureau A, Harper JW, Johnstone S, Stöhr J, Hertz NT. Pharmacological PINK1 activation ameliorates Pathology in Parkinson's Disease models. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.14.528378. [PMID: 36824886 PMCID: PMC9949154 DOI: 10.1101/2023.02.14.528378] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
PINK1 loss-of-function mutations and exposure to mitochondrial toxins are causative for Parkinson's disease (PD) and Parkinsonism, respectively. We demonstrate that pathological α-synuclein deposition, the hallmark pathology of idiopathic PD, induces mitochondrial dysfunction and impairs mitophagy, driving accumulation of the PINK1 substrate pS65-Ubiquitin (pUb) in primary neurons and in vivo. We synthesized MTK458, a brain penetrant small molecule that binds to PINK1 and stabilizes an active heterocomplex, thereby increasing mitophagy. MTK458 mediates clearance of α-synuclein pathology in PFF seeding models in vitro and in vivo and reduces pUb. We developed an ultrasensitive assay to quantify pUb levels in plasma and observed an increase in pUb in PD subjects that correlates with disease progression, paralleling our observations in PD models. Our combined findings from preclinical PD models and patient biofluids suggest that pharmacological activation of PINK1 is worthy of further study as a therapeutic strategy for disease modification in PD. Highlights Discovery of a plasma Parkinson's Disease biomarker candidate, pS65-Ubiquitin (pUb)Plasma pUb levels correlate with disease status and progression in PD patients.Identification of a potent, brain penetrant PINK1 activator, MTK458MTK458 selectively activates PINK1 by stimulating dimerization and stabilization of the PINK1/TOM complexMTK458 drives clearance of α-synuclein pathology and normalizes pUb in in vivo Parkinson's models.
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9
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Yi KC, Heseltine JC, Jeffery ND, Cook AK, Nabity MB. Effect of withholding food versus feeding on creatinine, symmetric dimethylarginine, cholesterol, triglycerides, and other biochemical analytes in 100 healthy dogs. J Vet Intern Med 2023; 37:626-634. [PMID: 36786663 DOI: 10.1111/jvim.16630] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 01/05/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Withholding food is often recommended before collection of blood for routine biochemical analysis in dogs despite a paucity of evidence to support this requirement. OBJECTIVES To compare measurements of selected biochemical analytes collected before and after feeding in clinically healthy dogs. ANIMALS One hundred clinically healthy staff- and student-owned dogs weighing ≥15 kg. METHODS Prospective observational study. Food was withheld from the dogs for 10-26 hours. Preprandial serum was collected, and then dogs were fed their usual food at an amount equivalent to at least 2/3 resting energy requirement (RER). Selected serum analytes were measured at 2-, 4-, 6-, and 8-hours postprandially. The proportion of postprandial values that exceeded either the reported allowable total error (TEa), or for symmetric dimethylarginine (SDMA), the reference change value (RCV), was determined. As neither TEa nor RCV is available for lipase, comparison was made to the high end of the reference interval (RI). RESULTS The proportion of dogs with at least 1 postprandial measurement that exceeded the TEa or RCV was 92/100 for triglycerides, 66/100 for blood urea nitrogen (BUN), 46/100 for phosphorus, 17/100 for glucose, 9/100 for bilirubin, 5/100 for SDMA, 2/100 for creatinine, and 0/100 for cholesterol and albumin. Postprandial lipase never exceeded the RI in dogs with normal fasted lipase. CONCLUSIONS AND CLINICAL IMPORTANCE Withholding food is generally not necessary before performing routine biochemical analysis in clinically healthy dogs. Withholding food might be helpful to limit variability in analytes impacted by feeding, such as triglycerides and phosphorus.
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Affiliation(s)
- Katarina C Yi
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Johanna C Heseltine
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Nicholas D Jeffery
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Audrey K Cook
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Mary B Nabity
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
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10
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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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11
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Bjornstad P, Dart A, Donaghue KC, Dost A, Feldman EL, Tan GS, Wadwa RP, Zabeen B, Marcovecchio ML. ISPAD Clinical Practice Consensus Guidelines 2022: Microvascular and macrovascular complications in children and adolescents with diabetes. Pediatr Diabetes 2022; 23:1432-1450. [PMID: 36537531 DOI: 10.1111/pedi.13444] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Petter Bjornstad
- Section of Endocrinology, Department of Pediatrics, Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado School of Medicine, Denver, Colorado, USA
| | - Allison Dart
- Department of Pediatrics, Divison of Nephrology, Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim C Donaghue
- Department of Pediatrics, Division of Endocrinology, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.,Discipline of Child and Adolescent Health, University of Sydney, Sydney, New South Wales, Australia
| | - Axel Dost
- Department of Pediatrics, Division of Endocrinology, Jena University Hospital, Jena, Germany
| | - Eva L Feldman
- Department of Medicine, Division of Neurology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Gavin S Tan
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Department of Ophthalmology and Visual Sciences, Duke-NUS Medical School, National University of Singapore, Singapore
| | - R Paul Wadwa
- Section of Endocrinology, Department of Pediatrics, Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado School of Medicine, Denver, Colorado, USA
| | - Bedowra Zabeen
- Department of Paediatrics and Changing Diabetes in Children Program, Bangladesh Institute of Research and Rehabilitation in Diabetes Endocrine and Metabolic Disorders, Dhaka, Bangladesh
| | - M Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge, and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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12
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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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13
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Rollefstad S, Ikdahl E, Wibetoe G, Sexton J, Crowson CS, van Riel P, Kitas GD, Graham I, Dahlqvist SR, Karpouzas G, Myasoedova E, Gonzalez-Gay MA, Sfikakis PP, Tektonidou MG, Lazarini A, Vassilopoulos D, Kuriya B, Hitchon CA, Stoenoiu MS, Durez P, Pascual-Ramos V, Galarza-Delgado DA, Faggiano P, Misra DP, Borg A, Mu R, Mirrakhimov EM, Gheta D, Myasoedova S, Krougly L, Popkova T, Tuchyňová A, Tomcik M, Vrablik M, Lastuvka J, Horák P, Medková H, Semb AG. An international audit of the management of dyslipidaemia and hypertension in patients with rheumatoid arthritis: results from 19 countries. EUROPEAN HEART JOURNAL. CARDIOVASCULAR PHARMACOTHERAPY 2022; 8:539-548. [PMID: 34232315 DOI: 10.1093/ehjcvp/pvab052] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/12/2021] [Accepted: 07/05/2021] [Indexed: 01/05/2023]
Abstract
AIMS To assess differences in estimated cardiovascular disease (CVD) risk among rheumatoid arthritis (RA) patients from different world regions and to evaluate the management and goal attainment of lipids and blood pressure (BP). METHODS AND RESULTS The survey of CVD risk factors in patients with RA was conducted in 14 503 patients from 19 countries during 2014-19. The treatment goal for BP was <140/90 mmHg. CVD risk prediction and lipid goals were according to the 2016 European guidelines. Overall, 21% had a very high estimated risk of CVD, ranging from 5% in Mexico, 15% in Asia, 19% in Northern Europe, to 31% in Central and Eastern Europe and 30% in North America. Of the 52% with indication for lipid-lowering treatment (LLT), 44% were using LLT. The lipid goal attainment was 45% and 18% in the high and very high risk groups, respectively. Use of statins in monotherapy was 24%, while 1% used statins in combination with other LLT. Sixty-two per cent had hypertension and approximately half of these patients were at BP goal. The majority of the patients used antihypertensive treatment in monotherapy (24%), while 10% and 5% as a two- or three-drug combination. CONCLUSION We revealed considerable geographical differences in estimated CVD risk and preventive treatment. Low goal attainment for LLT was observed, and only half the patients obtained BP goal. Despite a high focus on the increased CVD risk in RA patients over the last decade, there is still substantial potential for improvement in CVD preventive measures.
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Affiliation(s)
- Silvia Rollefstad
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Diakonveien 12, 0370 Oslo, Norway
| | - Eirik Ikdahl
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Diakonveien 12, 0370 Oslo, Norway
| | - Grunde Wibetoe
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Diakonveien 12, 0370 Oslo, Norway
| | - Joe Sexton
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Diakonveien 12, 0370 Oslo, Norway
| | - Cynthia S Crowson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - George D Kitas
- Dudley Group NHS Foundation Trust, Dudley, West Midlands, UK
| | | | | | - George Karpouzas
- The Lundquist Institute, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Elena Myasoedova
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Petros P Sfikakis
- Joint Rheumatology Program, First Department of Propaedeutic Internal Medicine, Laiko Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria G Tektonidou
- Joint Rheumatology Program, First Department of Propaedeutic Internal Medicine, Laiko Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Argyro Lazarini
- Joint Rheumatology Program, 2nd Department of Medicine and Laboratory, Hippokration General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Vassilopoulos
- Joint Rheumatology Program, 2nd Department of Medicine and Laboratory, Hippokration General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Bindee Kuriya
- Department of Medicine, Division of Rheumatology, University of Toronto, Toronto, Ontario, Canada
| | - Carol A Hitchon
- Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Maria Simona Stoenoiu
- Rheumatology Department, Cliniques Universitaires Saint Luc, Institut de recherche expérimentale et clinique, Université catholique de Louvain, Brussels, Belgium
| | - Patrick Durez
- Rheumatology Department, Cliniques Universitaires Saint Luc, Institut de recherche expérimentale et clinique, Université catholique de Louvain, Brussels, Belgium
| | - Virginia Pascual-Ramos
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México
| | | | | | - Durga Prasanna Misra
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India
| | | | - Rong Mu
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China
| | | | - Diane Gheta
- Tallagh University Hospital, Dublin, Ireland
| | | | - Lev Krougly
- Center of Cardiology of Russian Ministry of Healthcare, Moscow, Russia
| | - Tatiana Popkova
- V.A. Nasonova Research Institute of Rheumatology, Moscow, Russia
| | - Alena Tuchyňová
- National Institute of Rheumatic Diseases, 92101 Piešťany, Slovensko, Slovakia
| | - Michal Tomcik
- Institute of Rheumatology, Department of Rheumatology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Michal Vrablik
- Third Department of Internal Medicine, Department of Endocrinology and Metabolism, First Medical Faculty, Charles University and General Faculty Hospital, Prague, Czech Republic
| | - Jiri Lastuvka
- Third Department of Internal Medicine, Department of Endocrinology and Metabolism, First Medical Faculty, Charles University and General Faculty Hospital, Prague, Czech Republic
- First Medical Faculty, Charles University, Prague, Czech Republic
| | - Pavel Horák
- Iii Interna klinika fn Olomouc, Olomouc, Czech Republic
| | - Helena Medková
- Division of Rheumatology, 2nd Department of Internal Medicine-Gastroenterology, Charles University, Faculty of Medicine in Hradec Králové and University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Anne Grete Semb
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Diakonveien 12, 0370 Oslo, Norway
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White-Al Habeeb NMA, Higgins V, Venner AA, Bailey D, Beriault DR, Collier C, Adeli K. Canadian Society of Clinical Chemists Harmonized Clinical Laboratory Lipid Reporting Recommendations on the Basis of the 2021 Canadian Cardiovascular Society Lipid Guidelines. Can J Cardiol 2022; 38:1180-1188. [PMID: 35378262 DOI: 10.1016/j.cjca.2022.03.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 11/22/2022] Open
Abstract
There is limited guidance on laboratory reporting and interpretation of lipids and lipoproteins used in cardiovascular risk stratification. This contributes to inconsistencies in lipid reporting across clinical laboratories. Recently, the Canadian Cardiovascular Society (CCS) published the 2021 CCS guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in the adult. A subcommittee of the Working Group on Reference Interval Harmonization of the Canadian Society of Clinical Chemists has developed harmonized lipid reporting recommendations that are aligned with the 2021 CCS guidelines, to improve the standardization of lipid assessment and clinical decision-making. The proposed harmonized lipid reporting recommendations were critically reviewed by a broad range of laboratory and clinical experts across Canada. Feedback from approximately 30 expert reviewers was reviewed by the Working Group on Reference Interval Harmonization lipid subcommittee, and consensus decisions were incorporated into the 2021 harmonized lipid reporting recommendations. In this position statement, we provide 6 recommendations for laboratory reporting of lipid parameters. These recommendations include implementing the new National Institutes of Health equation to replace the Friedewald equation for calculating low-density lipoprotein cholesterol, offering lipoprotein (a), either as an in-house or send-out test, and using assays that report lipoprotein (a) in molar units (nmol/L). We also developed a harmonized lipid reporting format with interpretive comments that includes flagging results based on screening patients using treatment decision thresholds in a primary prevention setting. Overall, harmonized lipid reporting will help bridge the gap between clinical guideline recommendations and clinical laboratory reporting and interpretation, and will improve cardiovascular risk assessment across Canada.
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Affiliation(s)
| | - Victoria Higgins
- DynaLIFE Medical Labs, Edmonton, Alberta, Canada; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Allison A Venner
- Alberta Precision Laboratories and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | - Daniel R Beriault
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, St Michael's Hospital, Toronto, Ontario, Canada
| | - Christine Collier
- Pathology and Laboratory Medicine, Royal Columbian Hospital, New Westminster, British Columbia, Canada
| | - Khosrow Adeli
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
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15
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Fang Y, Wang Y. Fasting status modifies the association between triglyceride and all‐cause mortality: A cohort study. Health Sci Rep 2022; 5:e642. [PMID: 35601035 PMCID: PMC9110781 DOI: 10.1002/hsr2.642] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/02/2022] [Accepted: 04/27/2022] [Indexed: 01/21/2023] Open
Abstract
Background and Aims Both fasting and non‐fasting levels of triglyceride have been shown positively associated with all‐cause mortality. It is unknown whether fasting status modifies this association. This study aimed to address this question. Methods This study included 34,512 US adults (27,036 fasting and 7476 nonfasting participants). All‐cause mortality was ascertained by linkage to the National Death Index records. Cox proportional hazards models were used to estimate hazard ratios of triglyceride for mortality. Results This cohort was followed up for a mean of 13.0 years. During the follow‐up, 8491 all‐cause deaths were recorded. A 1‐natural‐log‐unit increase in triglyceride was associated with an 8% higher multivariate‐adjusted risk of all‐cause mortality. Interaction analyses showed that fasting status interacted with triglyceride in predicting all‐cause mortality. Sub‐analyses showed that a 1‐natural‐log‐unit increase in triglyceride was associated with a 17% higher multivariate‐adjusted risk of all‐cause mortality in the nonfasting subcohort; however, there lacked such an association in the fasting sub‐cohort. Similarly, high (200–499 mg/dL) and very high levels of triglyceride (≥500 mg/dL) were associated with higher all‐cause mortality risks compared with low normal triglyceride (<100 mg/dL) only in the nonfasting subcohort. Conclusion This study found that, compared to fasting triglyceride, nonfasting triglyceride was more sensitive in predicting all‐cause mortality. This study supports the initiatives by some guidelines to recommend the use of nonfasting triglycerides for risk assessment.
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Affiliation(s)
- Yan Fang
- Discipline of Life Science, School of Science, Psychology, and Sport Federation University Australia Ballarat Victoria Australia
| | - Yutang Wang
- Discipline of Life Science, School of Science, Psychology, and Sport Federation University Australia Ballarat Victoria Australia
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Tan Y, Lin Q, Xu J, Zhu L, Guo L, Xie Y, Du X, Zhang S, Wen T, Liu L. Non-fasting Changes in Blood Lipids After Three Daily Meals Within a Day in Chinese Inpatients With Cardiovascular Diseases. Front Cardiovasc Med 2022; 9:799300. [PMID: 35498036 PMCID: PMC9039513 DOI: 10.3389/fcvm.2022.799300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Non-fasting (i.e., postprandial) lipid detection is recommended in clinical practice. However, the change in blood lipids in Chinese patients with cardiovascular diseases after three daily meals has never been reported yet. Methods Serum levels of blood lipids were measured or calculated in 77 inpatients (48 men and 29 women) at high or very high risk of atherosclerotic cardiovascular disease (ASCVD) in the fasting state and at 4 h after three meals within a day according to their diet habits. Results Female patients showed significantly higher level of high-density lipoprotein cholesterol (HDL-C) than male patients, and the gender difference in other lipid parameters did not reach statistical significance at any time-point. Levels of triglyceride (TG) and remnant cholesterol (RC) increased, while that of low-density lipoprotein cholesterol (LDL-C) decreased significantly after three meals (p < 0.05). Levels of HDL-C, total cholesterol (TC), and non-high-density lipoprotein cholesterol (non-HDL-C) showed smaller changes after three meals. Percent reductions in the non-fasting LDL-C levels after lunch and supper were around 20%, which were greater than that after breakfast. The percent reductions in the non-fasting non-HDL-C levels after three meals were smaller than those in the non-fasting LDL-C levels. Patients with TG level ≥ 2.0 mmol/L (177 mg/dL) after lunch had significantly greater absolute reduction of LDL-C level than those with TG level < 2.0 mmol/L (177 mg/dL) after lunch [–0.69 mmol/L (–27 mg/dL) vs. –0.36 mmol/L (–14 mg/dL), p<0.01]. There was a significant and negative correlation between absolute change in LDL-C level and that in TG level (r = −0.32) or RC level (r = −0.67) after lunch (both p<0.01). Conclusion LDL-C level decreased significantly after three daily meals in Chinese patients at high or very high risk of ASCVD, especially when TG level reached its peak after lunch. Relatively, non-HDL-C level was more stable than LDL-C level postprandially. Therefore, when LDL-C level was measured in the non-fasting state, non-HDL-C level could be evaluated simultaneously to reduce the interference of related factors, such as postprandial hypertriglyceridemia, on detection.
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Affiliation(s)
- Yangrong Tan
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Qiuzhen Lin
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Jin Xu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Liyuan Zhu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Liling Guo
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Yingying Xie
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Xiao Du
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Shilan Zhang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Tie Wen
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Emergency Medicine and Difficult Diseases Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Tie Wen,
| | - Ling Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
- *Correspondence: Ling Liu,
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17
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RSSDI consensus recommendations for dyslipidemia management in diabetes mellitus. Int J Diabetes Dev Ctries 2022. [DOI: 10.1007/s13410-022-01063-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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18
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Wang S, Ren H, Zhong H, Zhao X, Li C, Ma J, Gu X, Xue Y, Huang S, Yang J, Chen L, Chen G, Qu S, Liang J, Qin L, Huang Q, Peng Y, Li Q, Wang X, Zou Y, Shi Z, Li X, Li T, Yang H, Lai S, Xu G, Li J, Zhang Y, Gu Y, Wang W. Combined berberine and probiotic treatment as an effective regimen for improving postprandial hyperlipidemia in type 2 diabetes patients: a double blinded placebo controlled randomized study. Gut Microbes 2022; 14:2003176. [PMID: 34923903 PMCID: PMC8726654 DOI: 10.1080/19490976.2021.2003176] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Non-fasting lipidemia (nFL), mainly contributed by postprandial lipidemia (PL), has recently been recognized as an important cardiovascular disease (CVD) risk as fasting lipidemia (FL). PL serves as a common feature of dyslipidemia in Type 2 Diabetes (T2D), albeit effective therapies targeting on PL were limited. In this study, we aimed to evaluate whether the therapy combining probiotics (Prob) and berberine (BBR), a proven antidiabetic and hypolipidemic regimen via altering gut microbiome, could effectively reduce PL in T2D and to explore the underlying mechanism. Blood PL (120 min after taking 100 g standard carbohydrate meal) was examined in 365 participants with T2D from the Probiotics and BBR on the Efficacy and Change of Gut Microbiota in Patients with Newly Diagnosed Type 2 Diabetes (PREMOTE study), a random, placebo-controlled, and multicenter clinical trial. Prob+BBR was superior to BBR or Prob alone in improving postprandial total cholesterol (pTC) and low-density lipoprotein cholesterol (pLDLc) levels with decrement of multiple species of postprandial lipidomic metabolites after 3 months follow-up. This effect was linked to the changes of fecal Bifidobacterium breve level responding to BBR alone or Prob+BBR treatment. Four fadD genes encoding long-chain acyl-CoA synthetase were identified in the genome of this B. breve strain, and transcriptionally activated by BBR. In vitro BBR treatment further decreased the concentration of FFA in the culture medium of B. breve compared to vehicle. Thus, the activation of fadD by BBR could enhance FFA import and mobilization in B. breve and diliminish the intraluminal lipids for absorption to mediate the effect of Prob+BBR on PL. Our study confirmed that BBR and Prob (B. breve) could exert a synergistic hypolipidemic effect on PL, acting as a gut lipid sink to achieve better lipidemia and CVD risk control in T2D.
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Affiliation(s)
- Shujie Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huahui Ren
- BGI-Shenzhen, Shenzhen, China,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Xinjie Zhao
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, China
| | - Changkun Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Ma
- Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuejiang Gu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang Province, China
| | - Yaoming Xue
- Nanfang Hospital, Southern Medical University, Guangdong Province, China
| | - Shan Huang
- Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialin Yang
- Department of Endocrinology, Central Hospital of Minhang District, Shanghai, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Shandong Province, China
| | - Gang Chen
- Department of Endocrinology, Fujian Provincial Hospital, Fujian Province, China
| | - Shen Qu
- Department of Endocrinology, Shanghai Tenth People’s Hospital of Tong Ji University, Shanghai, China
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Jiangsu Province, China
| | - Li Qin
- Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Huang
- Chang Hai Hospital, Second Military Medical University, Shanghai, China
| | - Yongde Peng
- Shanghai First People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Li
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, China
| | - Xiaolin Wang
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, China
| | | | | | - Xuelin Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tingting Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China,James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - Shenghan Lai
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Guowang Xu
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, China
| | - Junhua Li
- BGI-Shenzhen, Shenzhen, China,CONTACT Junhua Li BGI-Shenzhen, Shenzhen, China
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Yifei Zhang Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyun Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Yanyun Gu Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the Pr China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Weiqing Wang, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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19
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Zhou D, Liu X, Lo K, Huang Y, Feng Y. The effect of total cholesterol/high-density lipoprotein cholesterol ratio on mortality risk in the general population. Front Endocrinol (Lausanne) 2022; 13:1012383. [PMID: 36589799 PMCID: PMC9797665 DOI: 10.3389/fendo.2022.1012383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/24/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The relationship between the total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio and all-cause and cardiovascular mortality has not been elucidated. Herein, we intend to probe the effect of the TC/HDL-C ratio on all-cause and cardiovascular mortality in the general population. METHODS From the 1999-2014 National Health and Nutrition Examination Surveys (NHANES), a total of 32,405 health participants aged ≥18 years were included. The TC/HDL-C levels were divided into five groups: Q1: <2.86, Q2: 2.86-3.46, Q3: 3.46-4.12, Q4: 4.12-5.07, Q5: >5.07. Multivariate Cox regression models were used to explore the relationship between the TC/HDL-C ratio and cardiovascular and all-cause mortality. Two-piecewise linear regression models and restricted cubic spline regression were used to explore nonlinear and irregularly shaped relationships. Kaplan-Meier survival curve and subgroup analyses were conducted. RESULTS The population comprised 15,675 men and 16,730 women with a mean age of 43 years. During a median follow-up of 98 months (8.1 years), 2,859 mortality cases were recorded. The TC/HDL-C ratio and all-cause mortality showed a nonlinear association after adjusting for confounding variables in the restricted cubic spline analysis. Hazard ratios (HRs) of all-cause mortality were particularly positively related to the level of TC/HDL-C ratio in the higher range >5.07 and in the lower range <2.86 (HR 1.26; 95% CI 1.10, 1.45; HR 1.18; 95% CI 1.00, 1.38, respectively), although the HRs of cardiovascular disease mortality showed no difference among the five groups. In the two-piecewise linear regression model, a TC/HDL-C ratio range of ≥4.22 was positively correlated with cardiovascular mortality (HR 1.13; 95% CI 1.02, 1.25). In the subgroup analysis, a nonlinear association between TC/HDL-C and all-cause mortality was found in those aged <65 years, men, and the no lipid drug treatment population. CONCLUSION A nonlinear association between the TC/HDL-C ratio and all-cause mortality was found, indicating that a too-low or too-high TC/HDL-C ratio might increase all-cause mortality. However, for cardiovascular mortality, it does not seem so. The cutoff value was 4.22. The individuals had higher cardiovascular mortality with a TC/HDL-C ratio >4.22.
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Affiliation(s)
- Dan Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaocong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Epidemiology, Centre for Global Cardio-Metabolic Health, Brown University, Providence, RI, United States
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Yuqing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yingqing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Yingqing Feng,
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20
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Martakis K, Stark C, Rehberg M, Jackels M, Schoenau E, Duran I. Association of muscle mass and fat mass on low-density-lipoprotein cholesterol and triglyceride plasma concentration in children and adolescents. J Pediatr Endocrinol Metab 2021; 34:1273-1282. [PMID: 34271602 DOI: 10.1515/jpem-2021-0254] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 06/19/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Obesity has often been associated with high low-density-lipoprotein cholesterol (LDL-C) and triglyceride plasma concentrations, known risk factors for diabetes mellitus and cardiovascular disease. Study objective was to evaluate the association of LDL-C and triglyceride plasma concentration with muscle and fat mass in children and adolescents. METHODS We analyzed data of the National Health and Nutrition Examination Survey (1999-2004) to estimate lean muscle and fat mass assessed by dual-energy X-ray absorptiometry (DXA) of participants whose lipid profiles had been examined. Fat mass was operationalized by DXA-determined fat mass index (FMI). Muscle mass was assessed by appendicular lean mass index (aLMI). High LDL-C and triglyceride concentration was defined as above 130 mg/dL. RESULTS For the evaluation of the association of LDL-C and triglyceride plasma concentration with LMI and FMI Z-scores, the data of 2,487 children and adolescents (age 8-19 years) (984 females) were eligible. High aLMI showed no association with LDL-C or triglyceride concentration, but high FMI showed significant association with LDL-C and triglyceride plasma concentration in the bivariate regression analysis. CONCLUSIONS Isolated muscle mass increase may not be protective against high LDL-C and triglycerides plasma levels in children and adolescents. Thus, exercise may lead to risk factor reduction mainly through fat mass reduction.
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Affiliation(s)
- Kyriakos Martakis
- Center of Prevention and Rehabilitation - UniReha, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany.,Department of Pediatrics, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany.,Department for Pediatric Neurology, Epileptology and Social Pediatrics, Justus-Liebig University, UKGM, Giessen, Germany
| | - Christina Stark
- Cologne Centre for Musculoskeletal Biomechanics, University of Cologne, Cologne, Germany
| | - Mirko Rehberg
- Department of Pediatrics, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany
| | - Miriam Jackels
- Center of Prevention and Rehabilitation - UniReha, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany.,Department of Pediatrics, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany
| | - Eckhard Schoenau
- Center of Prevention and Rehabilitation - UniReha, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany.,Department of Pediatrics, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany
| | - Ibrahim Duran
- Center of Prevention and Rehabilitation - UniReha, University of Cologne, Medical Faculty and University Hospital, Cologne, Germany
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21
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Sajja A, Park J, Sathiyakumar V, Varghese B, Pallazola VA, Marvel FA, Kulkarni K, Muthukumar A, Joshi PH, Gianos E, Hirsh B, Mintz G, Goldberg A, Morris PB, Sharma G, Blumenthal RS, Michos ED, Post WS, Elshazly MB, Jones SR, Martin SS. Comparison of Methods to Estimate Low-Density Lipoprotein Cholesterol in Patients With High Triglyceride Levels. JAMA Netw Open 2021; 4:e2128817. [PMID: 34709388 PMCID: PMC8554644 DOI: 10.1001/jamanetworkopen.2021.28817] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Low-density lipoprotein cholesterol (LDL-C) is typically estimated with the Friedewald or Martin/Hopkins equation; however, if triglyceride levels are 400 mg/dL or greater, laboratories reflexively perform direct LDL-C (dLDL-C) measurement. The use of direct chemical LDL-C assays and estimation of LDL-C via the National Institutes of Health Sampson equation are not well validated, and data on the accuracy of LDL-C estimation at higher triglyceride levels are limited. OBJECTIVE To compare an extended Martin/Hopkins equation for triglyceride values of 400 to 799 mg/dL with the Friedewald and Sampson equations. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study evaluated consecutive patients at clinical sites across the US with patient lipid distributions representative of the US population in the Very Large Database of Lipids from January 1, 2006, to December 31, 2015, with triglyceride levels of 400 to 799 mg/dL. Data analysis was performed from November 9, 2020, to March 23, 2021. MAIN OUTCOMES AND MEASURES Accuracy in LDL-C classification according to guideline-based categories and absolute errors between estimated LDL-C and dLDL-C levels. Patients were randomly assigned 2:1 to derivation and validation data sets. Levels of dLDL-C were measured by vertical spin-density gradient ultracentrifugation. The LDL-C levels were estimated using the Friedewald method, with a fixed ratio of triglycerides to very low-density lipoprotein cholesterol (VLDL-C ratio of 5:1), extended Martin/Hopkins equation with a flexible ratio, and Sampson equation with VLDL-C estimation by multiple least-squares regression. RESULTS A total of 111 939 patients (mean [SD] age, 52 [13] years; 65.0% male) with triglyceride levels of 400 to 799 mg/dL were included, representing 2.2% of 5 081 680 patients in the database. Across all individual guideline LDL-C classes (<40, 40-69, 70-99, 100-129, 130-159, 160-189, and ≥190), estimation of LDL-C by the extended Martin/Hopkins equation was most accurate (62.1%) compared with the Friedewald (19.3%) and Sampson (40.4%) equations. In classifying LDL-C levels less than 70 mg/dL across all triglyceride strata, the extended Martin/Hopkins equation was most accurate (67.3%) compared with Friedewald (5.1%) and Sampson (26.4%) equations. In addition, for classifying LDL-C levels less than 40 mg/dL across all triglyceride strata, the extended Martin/Hopkins equation was most accurate (57.2%) compared with the Friedewald (4.3%) and Sampson (14.4%) equations. However, considerable underclassification of LDL-C occurred. The magnitude of error between the Martin/Hopkins equation estimation and dLDL-C was also smaller: at LDL-C levels less than 40 mg/dL, 2.7% of patients had 30 mg/dL or greater differences between dLDL-C and estimated LDL-C using the Martin/Hopkins equation compared with the Friedewald (92.5%) and Sampson (38.7%) equations. CONCLUSIONS AND RELEVANCE In this cross-sectional study, the extended Martin/Hopkins equation offered greater LDL-C accuracy compared with the Friedewald and Sampson equations in patients with triglyceride levels of 400 to 799 mg/dL. However, regardless of method used, caution is advised with LDL-C estimation in this triglyceride range.
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Affiliation(s)
- Aparna Sajja
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jihwan Park
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Vasanth Sathiyakumar
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Bibin Varghese
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Vincent A. Pallazola
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Francoise A. Marvel
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | | | - Parag H. Joshi
- Division of Cardiology, Department of Internal Medicine, University of Texas /Southwestern Medical Center, Dallas
| | - Eugenia Gianos
- Department of Cardiology, North Shore University Hospital, Northwell Health, Zucker School of Medicine, New York, New York
| | - Benjamin Hirsh
- Department of Cardiology, North Shore University Hospital, Northwell Health, Zucker School of Medicine, New York, New York
| | - Guy Mintz
- Department of Cardiology, North Shore University Hospital, Northwell Health, Zucker School of Medicine, New York, New York
| | - Anne Goldberg
- Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Pamela B. Morris
- Department of Cardiology, Medical University of South Carolina, Columbia
| | - Garima Sharma
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Roger S. Blumenthal
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Erin D. Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Wendy S. Post
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Mohamed B. Elshazly
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Cardiovascular Medicine, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Steven R. Jones
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Seth S. Martin
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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22
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Zhang SL, Du X, Xu J, Xiang QY, Liu L. Non-fasting lipid profile for cardiovascular risk assessments using China ASCVD risk estimator and Europe SCORE risk charts in Chinese participants. Cardiovasc Diagn Ther 2021; 11:991-1001. [PMID: 34527522 DOI: 10.21037/cdt-20-1012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 06/20/2021] [Indexed: 01/12/2023]
Abstract
Background Previous studies have shown that non-fasting lipids have similar values in cardiovascular risk estimation as fasting, but it is not clear whether this could also be applicable to Chinese participants. Methods A total of 127 (76 men, 51 women) participants without atherosclerotic cardiovascular diseases (ASCVD) were enrolled in the study. Serum levels of blood lipids were monitored at 0 h, 2 h and 4 h after a daily breakfast. Ten-year cardiovascular disease (CVD) risk was estimated with China ASCVD risk estimator and European SCORE risk charts. Kappa statistic was used to determine agreement among estimators. Results China ASCVD risk estimator assessed half of the participants as low risk, while European risk charts assessed half of the participants as moderate risk in the same participants. Reliability analysis in China ASCVD risk estimator and Europe SCORE risk charts based on fasting and or non-fasting lipids profile were relatively high (Kappa =0.731 or 0.718, P<0.001), (Kappa =0.922 or 0.935, P<0.001) (Kappa =0.886 or 0.874, P<0.001), but agreement between two were relatively poor in both fasting and non-fasting states (Kappa =0.339 or 0.300, P<0.001), (Kappa =0.364 or 0.286, P<0.001). Conclusions Promoting use of non-fasting lipids in diagnosis, evaluation, and prediction of CVD are feasible. Furthermore, non-fasting lipids could be used in China ASCVD risk estimator to evaluate 10-year risk of ASCVD among Chinese general participants.
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Affiliation(s)
- Shi-Lan Zhang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Gastroenterology, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Human Province; Changsha, China
| | - Xiao Du
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Human Province; Changsha, China
| | - Jin Xu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Human Province; Changsha, China
| | - Qun-Yan Xiang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Ling Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Human Province; Changsha, China
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23
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Whelton SP, McAuley PA, Dardari Z, Orimoloye OA, Michos ED, Brawner CA, Ehrman JK, Keteyian SJ, Blaha MJ, Al-Mallah MH. Fitness and Mortality Among Persons 70 Years and Older Across the Spectrum of Cardiovascular Disease Risk Factor Burden: The FIT Project. Mayo Clin Proc 2021; 96:2376-2385. [PMID: 34366139 DOI: 10.1016/j.mayocp.2020.12.039] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/16/2020] [Accepted: 12/22/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To determine whether fitness could improve mortality risk stratification among older adults compared with cardiovascular disease (CVD) risk factors. METHODS We examined 6509 patients 70 years of age and older without CVD from the Henry Ford ExercIse Testing Project (FIT Project) cohort. Patients performed a physician-referred treadmill stress test between 1991 and 2009. Traditional categorical CVD risk factors (hypertension, hyperlipidemia, diabetes, and smoking) were summed from 0 to 3 or more. Fitness was grouped as low, moderate, and high (<6, 6 to 9.9, and ≥10 metabolic equivalents of task). All-cause mortality was ascertained through US Social Security Death Master files. We calculated age-adjusted mortality rates, multivariable adjusted Cox proportional hazards, and Kaplan-Meier survival models. RESULTS Patients had a mean age of 75±4 years, and 3385 (52%) were women; during a mean follow-up of 9.4 years, there were 2526 deaths. A higher fitness level (P<.001), not lower CVD risk factor burden (P=.31), was associated with longer survival. The age-adjusted mortality rate per 1000 person-years was 56.7 for patients with low fitness and 0 risk factors compared with 24.9 for high fitness and 3 or more risk factors. Among patients with 3 or more risk factors, the adjusted mortality hazard was 0.68 (95% CI, 0.61 to 0.76) for moderate and 0.51 (95% CI, 0.44 to 0.60) for high fitness compared with the least fit. CONCLUSION Among persons aged 70 years and older, there was no significant difference in survival of patients with 0 vs 3 or more risk factors, but a higher fitness level identified older persons with good long-term survival regardless of CVD risk factor burden.
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Affiliation(s)
- Seamus P Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD.
| | - Paul A McAuley
- Department of Health, Physical Education, and Sport Studies, Winston-Salem State University, Winston-Salem, NC
| | - Zeina Dardari
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD
| | - Olusola A Orimoloye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Erin D Michos
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD
| | - Clinton A Brawner
- Division of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI
| | - Jonathan K Ehrman
- Division of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI
| | - Steven J Keteyian
- Division of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD
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24
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Semb AG, Rollefstad S, Ikdahl E, Wibetoe G, Sexton J, Crowson C, van Riel P, Kitas G, Graham I, Rantapää-Dahlqvist S, Karpouzas GA, Myasoedova E, Gonzalez-Gay MA, Sfikakis PP, Tektonidou MGG, Lazarini A, Vassilopoulos D, Kuriya B, Hitchon C, Stoenoiu MS, Durez P, Pascual-Ramos V, Galarza-Delgado DA, Faggiano P, Misra DP, Borg AA, Mu R, Mirrakhimov EM, Gheta D, Douglas K, Agarwal V, Myasoedova S, Krougly L, Valentinovna Popkova T, Tuchyňová A, Tomcik M, Vrablik M, Lastuvka J, Horak P, Medkova HK, Kerola AM. Diabetes mellitus and cardiovascular risk management in patients with rheumatoid arthritis: an international audit. RMD Open 2021; 7:rmdopen-2021-001724. [PMID: 34244381 PMCID: PMC8268901 DOI: 10.1136/rmdopen-2021-001724] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/20/2021] [Indexed: 01/21/2023] Open
Abstract
Aim The objective was to examine the prevalence of atherosclerotic cardiovascular disease (ASCVD) and its risk factors among patients with RA with diabetes mellitus (RA-DM) and patients with RA without diabetes mellitus (RAwoDM), and to evaluate lipid and blood pressure (BP) goal attainment in RA-DM and RAwoDM in primary and secondary prevention. Methods The cohort was derived from the Survey of Cardiovascular Disease Risk Factors in Patients with Rheumatoid Arthritis from 53 centres/19 countries/3 continents during 2014–2019. We evaluated the prevalence of cardiovascular disease (CVD) among RA-DM and RAwoDM. The study population was divided into those with and without ASCVD, and within these groups we compared risk factors and CVD preventive treatment between RA-DM and RAwoDM. Results The study population comprised of 10 543 patients with RA, of whom 1381 (13%) had DM. ASCVD was present in 26.7% in RA-DM compared with 11.6% RAwoDM (p<0.001). The proportion of patients with a diagnosis of hypertension, hyperlipidaemia and use of lipid-lowering or antihypertensive agents was higher among RA-DM than RAwoDM (p<0.001 for all). The majority of patients with ASCVD did not reach the lipid goal of low-density lipoprotein cholesterol <1.8 mmol/L. The lipid goal attainment was statistically and clinically significantly higher in RA-DM compared with RAwoDM both for patients with and without ASCVD. The systolic BP target of <140 mm Hg was reached by the majority of patients, and there were no statistically nor clinically significant differences in attainment of BP targets between RA-DM and RAwoDM. Conclusion CVD preventive medication use and prevalence of ASCVD were higher in RA-DM than in RAwoDM, and lipid goals were also more frequently obtained in RA-DM. Lessons may be learnt from CVD prevention programmes in DM to clinically benefit patients with RA.
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Affiliation(s)
- Anne Grete Semb
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Silvia Rollefstad
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Eirik Ikdahl
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Grunde Wibetoe
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Joseph Sexton
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Cindy Crowson
- Health Sciences Research, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Piet van Riel
- Rheumatology, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - George Kitas
- Department of Rheumatology, Dudley Group of Hospitals NHS Trust, Dudley, UK
| | - Ian Graham
- Cardiology, Trinity College Dublin, Dublin, Ireland
| | - Solbritt Rantapää-Dahlqvist
- Department of Public Health and Clinical Medicine/Rheumatology, Umeå Universitet Medicinska Fakulteten, Umea, Sweden
| | | | - Elena Myasoedova
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | | | - Petros P Sfikakis
- First Department of Propedeutic Medicine, Medical School of University of Athens, Athens, Greece
| | - Maria G G Tektonidou
- First Department of Propaedeutic Internal Medicine, University of Athens, Athens, Greece
| | - Argyro Lazarini
- 2nd Department of Medicine and Laboratory, Clinical Immunology-Rheumatology Unit, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Dimitrios Vassilopoulos
- 2nd Department of Medicine and Laboratory, Clinical Immunology-Rheumatology Unit, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Bindee Kuriya
- Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Carol Hitchon
- Rheumatology, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Patrick Durez
- Rheumatology, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Virginia Pascual-Ramos
- Immunology and Rheumatology, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | | | - Pompilio Faggiano
- Third Department of Internal Medicine, Department of Endocrinology and Metabolism, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Durga Prasanna Misra
- Krajska zdravotni a.s, Masaryk Hospital in Usti nad Labem, Usti nad Labem, Czech Republic
| | - Andrew A Borg
- First Medical Faculty, Charles University, Praha, Czech Republic
| | - Rong Mu
- Department of Internal Medicine III-Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Olomoucký, Czech Republic
| | - Erkin M Mirrakhimov
- Division of Rheumatology, 2nd Department of Internal Medicine-Gastroenterology, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Diane Gheta
- Medicine, Tallaght University Hospital, Dublin, Ireland
| | - Karen Douglas
- Department of Rheumatology, Dudley Group of Hospitals NHS Trust, Dudley, UK
| | - Vikas Agarwal
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Svetlana Myasoedova
- Rheumatology, Ivanovo State Medical Academy, Ivanovo, Ivanovskaa oblast', Russian Federation
| | - Lev Krougly
- Rheumatology, FSBI National Medical and Surgical Center named after N I Pirogov of the Ministry of Healthcare of the Russian Federation, Moskva, Moskva, Russian Federation
| | | | - Alena Tuchyňová
- Rheumatology, Narodny Ustav Reumatickych Chorob, Piestany, Slovakia
| | - Michal Tomcik
- Rheumatology, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Michal Vrablik
- Third Department of Internal Medicine, Department of Endocrinology and Metabolism, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Jiri Lastuvka
- Krajska zdravotni a.s, Masaryk Hospital in Usti nad Labem, Usti nad Labem, Czech Republic.,First Medical Faculty, Charles University, Praha, Czech Republic
| | - Pavel Horak
- Department of Internal Medicine III-Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Olomoucký, Czech Republic
| | - Helena Kaspar Medkova
- Division of Rheumatology, 2nd Department of Internal Medicine-Gastroenterology, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Anne M Kerola
- Preventive Cardio-Rheuma Clinic, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
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25
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Cheng Q, Liu XC, Chen CL, Huang YQ, Feng YQ, Chen JY. The U-Shaped Association of Non-High-Density Lipoprotein Cholesterol Levels With All-Cause and Cardiovascular Mortality Among Patients With Hypertension. Front Cardiovasc Med 2021; 8:707701. [PMID: 34336961 PMCID: PMC8316599 DOI: 10.3389/fcvm.2021.707701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/06/2023] Open
Abstract
Background: Non-high-density lipoprotein cholesterol (non-HDL-C) is a valuable indicator in routine blood lipid tests, but the associations of non-HDL-C with mortality in hypertensive population still remain uncertain. Methods: In the National Health and Nutrition Examination Surveys from 1999 to 2014, participants having hypertension were included and grouped by non-HDL-C levels (<130, 130–159, 160–189, 190–219, and ≥220 mg/dl). Multivariate Cox regression was conducted for calculation of hazard ratios (HR) and 95% confidence interval (CI). To reveal the relationship between non-HDL-C and mortality, Kaplan–Meier survival curves, restricted cubic spline, linear regression, and subgroup analysis were also applied. Results: A total of 12,169 participants (47.52% males, mean age 57.27 ± 15.79 years) were included. During average follow-up of 92.5 months, 1,946 (15.99%) all-cause deaths and 422 (3.47%) cardiovascular deaths occurred. After adjusting for confounders, the association of non-HDL-C with mortality was detected as U-shaped. Threshold values were observed at 158 mg/dl for all-cause mortality and 190 mg/dl as to cardiovascular mortality. Below the threshold, every 10 mg/dl increment in non-HDL-C attributed to relatively low all-cause mortality significantly (HR = 0.94, 95% CI: 0.92–0.96). Above the threshold, non-HDL-C has significant positive associations with both all-cause (HR = 1.03, 95% CI: 1.01–1.05) and cardiovascular mortality (HR = 1.09, 95% CI: 1.05–1.14). For subgroups analysis, similar results were found among participants age <65 years old, non-white population, those were not taking lipid-lowering drugs, and subjects with body mass index (BMI) ≥25 kg/m2. Conclusion: The U-shaped association was detected between non-HDL-C and mortality among hypertensive population.
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Affiliation(s)
- Qi Cheng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying-Qing Feng
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ji-Yan Chen
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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26
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Lin Q, Fu Y, Zang X, Liu Q, Liu L. The Role of Fasting LDL-C Levels in Their Non-fasting Reduction in Patients With Coronary Heart Disease. Front Cardiovasc Med 2021; 8:686234. [PMID: 34222380 PMCID: PMC8241924 DOI: 10.3389/fcvm.2021.686234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
The level of low-density lipoprotein cholesterol (LDL-C) decreases to a certain extent after daily meals; however, the influencing factor of this phenomenon has not been fully elucidated. This study included 447 patients with coronary heart disease (CHD). Serum levels of blood lipid parameters at 0, 2, and 4 hours (h) after a daily breakfast were monitored in all subjects. The levels of total cholesterol (TC), LDL-C, high-density lipoprotein cholesterol (HDL-C) and non-HDL-C significantly decreased, while those of triglycerides (TG) and remnant cholesterol (RC) significantly increased from baseline to 4 h in both male and female patients (P < 0.05). Multiple linear regression analysis showed that fasting LDL-C level, the non-fasting change in RC level at 4 h and fasting TG level were significant predictors of the non-fasting change in LDL-C level at 4 h in patients with CHD, and fasting LDL-C level was the most significantly associated with the non-fasting change in LDL-C level. Patients with lower levels of fasting LDL-C had smaller non-fasting changes in LDL-C levels. When the fasting LDL-C level was <1.4 mmol/L, both absolute reduction and percent reduction in LDL-C level at 4 h were almost zero, which means that the non-fasting LDL-C level at 4 h was approximately equivalent to its fasting value (P < 0.05). This result indicated that the non-fasting changes in LDL-C levels were influenced by fasting LDL-C levels in patients with CHD. When the fasting LDL-C level was <1.4 mmol/L, the non-fasting LDL-C level could replace the fasting value to guide treatment.
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Affiliation(s)
- Qiuzhen Lin
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Yan Fu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - XueYan Zang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Qiming Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Ling Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
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27
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Guo LL, Chen YQ, Lin QZ, Tian F, Xiang QY, Zhu LY, Xu J, Wen T, Liu L. Non-HDL-C Is More Stable Than LDL-C in Assessing the Percent Attainment of Non-fasting Lipid for Coronary Heart Disease Patients. Front Cardiovasc Med 2021; 8:649181. [PMID: 33869310 PMCID: PMC8049565 DOI: 10.3389/fcvm.2021.649181] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/08/2021] [Indexed: 11/29/2022] Open
Abstract
This study aimed to compare the percentage attainment of fasting and non-fasting LDL-C and non-HDL-C target levels in coronary heart disease (CHD) patients receiving short-term statin therapy. This study enrolled 397 inpatients with CHD. Of these, 197 patients took statins for <1 month (m) or did not take any statin before admission (CHD1 group), while 204 patients took statins for ≥1 m before admission (CHD2 group). Blood lipid levels were measured at 0, 2, and 4 h after a daily breakfast. Non-fasting LDL-C and non-HDL-C levels significantly decreased after a daily meal (P < 0.05). Both fasting and non-fasting LDL-C or non-HDL-C levels were significantly lower in the CHD2 group. The percentage attainment of LDL-C <1.4 mmol/L at 2 and 4 h after a daily breakfast was significantly higher than that during fasting (P < 0.05), but the percent attainment of non-fasting non-HDL-C <2.2 mmol/L was close to its fasting value (P > 0.05). Analysis of c-statistic showed that non-fasting cut-off points for LDL-C and non-HDL-C were 1.19 and 2.11 mmol/L, corresponding to their fasting goal levels of 1.4 and 2.2 mmol/L, respectively. When post-prandial LDL-C and non-HDL-C goal attainments were re-evaluated using non-fasting cut-off points, there were no significant differences in percentage attainment between fasting and non-fasting states. Non-HDL-C is more stable than LDL-C in assessing the percent attainment of non-fasting lipid for coronary heart disease patients. If we want to use LDL-C to assess the percent attainment of post-prandial blood lipids, we may need to determine a lower non-fasting cut-off point.
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Affiliation(s)
- Li-Ling Guo
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Yan-Qiao Chen
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Qiu-Zhen Lin
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Feng Tian
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Qun-Yan Xiang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Li-Yuan Zhu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Jin Xu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Tie Wen
- Department of Emergency, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ling Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.,Research Institute of Blood Lipid and Atherosclerosis, Center South University, Changsha, China.,Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China.,Cardiovascular Disease Research Center of Hunan Province, Changsha, China
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28
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Phoon IKY, Koh YLE, Guo X, Usha S, Tan NC. Compatibility between an overnight fasting and random cholesterol tests in Asians. Sci Rep 2021; 11:6478. [PMID: 33742059 PMCID: PMC7979783 DOI: 10.1038/s41598-021-85914-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 03/08/2021] [Indexed: 12/11/2022] Open
Abstract
Recent Western guidelines recommend non-fasting lipid profiles to manage dyslipidaemia. We explored its applicability to an Asian population. We determined the differences between an overnight fasting and non-fasting cholesterol profiles of patients with type-2 diabetes mellitus (T2DM) in Singapore. We studied 470 multi-ethnic Asian adult patients with T2DM and dyslipidaemia from 2 primary care clinics in Singapore. Non-fasting blood specimens were collected within 6 h after their last meal and within 14 days of a fasting specimen. The intraclass correlation coefficient (ICC) was used to compare the intraindividual lipid profiles. An ICC value > 0.75 implies good correlation. The mean age and T2DM duration of the study population were 62.5 years and 9.8 years respectively. Their mean non-fasting period was 2.46 h. The mean differences between non-fasting and fasting total cholesterol (TC), high-density lipoprotein (HDL-C), triglyceride (TG), low-density lipoprotein (LDL-C), and non HDL-C were + 0.04 mmol/l, - 0.001 mmol/l, + 0.48 mmol/l, - 0.15 mmol/l, and - 0.05 mmol/l respectively. The ICC (95% CI) for TC, HDL-C, TG, LDL-C and non-HDL-C were 0.820 (0.788-0.847), 0.873 (0.850-0.893), 0.579 (0.516-0.636), 0.764 (0.723-0.799), and 0.825 (0.794-0.852) respectively. The fasting and non-fasting lipid profiles were similar in our local Asian patients with T2DM taking statin. Their non-fasting lipid profile can be used to assess their cholesterol treatment status.
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Affiliation(s)
- Ian Kwong Yun Phoon
- c/o SingHealth Polyclinics, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, 150167, Singapore.
- SingHealth-Duke NUS Family Medicine Academic Clinical Programme, 31 Third Hospital Avenue, # 03-03, Bowyer Block C, Singapore, 168753, Singapore.
| | - Yi Ling Eileen Koh
- c/o SingHealth Polyclinics, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, 150167, Singapore
| | - Xiaoxuan Guo
- c/o SingHealth Polyclinics, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, 150167, Singapore
- SingHealth-Duke NUS Family Medicine Academic Clinical Programme, 31 Third Hospital Avenue, # 03-03, Bowyer Block C, Singapore, 168753, Singapore
| | - Sankari Usha
- c/o SingHealth Polyclinics, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, 150167, Singapore
| | - Ngiap Chuan Tan
- c/o SingHealth Polyclinics, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, 150167, Singapore
- SingHealth-Duke NUS Family Medicine Academic Clinical Programme, 31 Third Hospital Avenue, # 03-03, Bowyer Block C, Singapore, 168753, Singapore
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Daghlas I, Gill D. Low-density lipoprotein cholesterol and lifespan: A Mendelian randomization study. Br J Clin Pharmacol 2021; 87:3916-3924. [PMID: 33704808 DOI: 10.1111/bcp.14811] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 02/21/2021] [Accepted: 02/26/2021] [Indexed: 11/27/2022] Open
Abstract
AIMS It is unknown whether long-term low-density lipoprotein cholesterol (LDL-c) lowering increases lifespan and longevity in a general population not selected for elevated cardiovascular risk. The present study aimed to investigate the overall and gene-specific effect of circulating LDL-c levels on lifespan and longevity in a general population. METHODS Leveraging data from the Global Lipids Genetics Consortium (n = 173 082), we identified genetic variants to proxy LDL-c levels generally, and also through perturbation of particular drug targets (HMGCR, NPC1L1 and PCSK9). We investigated their association with lifespan (n = 1 012 240) using Mendelian randomization, and replicated results using the outcome of longevity to the 90th vs. 60th percentile age (11 262 cases/25 483 controls). RESULTS A 1-standard deviation increase in genetically proxied LDL-c was associated with 1.2 years lower lifespan (95% confidence interval [CI] -1.55, -0.87; P = 3.83 × 10-12 ). Findings were consistent in statistical sensitivity analyses, and when considering the outcome of longevity (odds ratio for survival to the 90th vs 60th percentile age 0.72, 95% CI 0.64, 0.81, P = 7.83 × 10-8 ). Gene-specific Mendelian randomization analyses showed a significant effect of LDL-c modification through PCSK9 on lifespan (-0.99 years, 95% CI -1.43, 0.55, P = 6.80 × 10-6 ); however, estimates for HMGCR and NPC1L1 were underpowered. CONCLUSIONS This genetic evidence supports that higher LDL-c levels reduce lifespan and longevity. In a general population that is not selected for increased cardiovascular risk, there is likely to be a net lifespan benefit of LDL-c lowering therapies, particularly for PCSK9 inhibitors, although randomized controlled trials are necessary before modification of clinical practice.
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Affiliation(s)
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, London, UK.,Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George's University Hospitals NHS Foundation Trust, London, UK.,Novo Nordisk Research Centre Oxford, Old Road Campus, Oxford, UK
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30
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Doddamani A, Ballala ABK, Madhyastha SP, Kamath A, Kulkarni MM. A cross-sectional study to identify the determinants of non-communicable diseases among fishermen in Southern India. BMC Public Health 2021; 21:414. [PMID: 33639892 PMCID: PMC7913403 DOI: 10.1186/s12889-021-10376-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 02/03/2021] [Indexed: 11/30/2022] Open
Abstract
Background India is currently facing a rising epidemic of Non-Communicable Diseases (NCDs). Identification of modifiable risk factors is of paramount importance to curb this menace. Fishermen are one of the most vulnerable occupational groups with unique characteristics that make them prone to acquire NCDs, as a significant share of their life is spent at sea. Hence, this study was planned to ascertain the burden of NCDs, determine various risk factors of NCDs, and measure the association between risk factors and NCDs among fishermen of Coastal Karnataka in South India. Methods A cross-sectional study was conducted among 681 fishermen aged 18 years and above as per the semi-structured interview schedule for two years (2017–2019). A convenience sampling strategy was adopted. The data was entered and analyzed using SPSS v.15.0. The results were described in terms of proportions and their 95% confidence intervals. Continuous data were summarized using the mean and standard deviation or median and interquartile range depending on the skewness of data. Chi-square test was used to study the association between NCDs and modifiable risk factors. Multiple logistic regression was used to identify risk factors of NCDs. Results The mean (SD) age of the population was 42.5 (SD 12.5) years. The mean years involved in fishing was 19.8 years (SD 10.9). More than half (59.5%) of the study participants had severe stress and most (80.3%) were ever substance users. Advancing age, not being able to contact family while at sea, poor dietary practice, ever substance use, increasing waist circumference were significant correlates of NCDs. Conclusions The commonly prevalent risk factors of NCDs among fishermen included poor dietary practice, higher stress levels, substance use, increasing waist circumference, and inability to contact with family while at sea. Hypertension and Diabetes were the two common NCDs in the study population. There is a need for immediate attention in managing NCDs’ risk factors by promoting a healthy lifestyle by primary health care providers through a sustainable community awareness program targeting fishermen at a convenient time and location, either at the sea-port or meeting places. Harmful effects of substance use, healthy dietary practices, and the importance of physical activity outside their job need emphasis. In addition, screening programs should be organized with the help of boat owners and fishing associations at-least once a year to pick up NCDs at an early stage. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10376-w.
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Affiliation(s)
- Akhila Doddamani
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - A B Kirthinath Ballala
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Sharath P Madhyastha
- Department of General Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Asha Kamath
- Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Muralidhar M Kulkarni
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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31
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Jayalekshmi VS, Ramachandran S. Maternal cholesterol levels during gestation: boon or bane for the offspring? Mol Cell Biochem 2021; 476:401-416. [PMID: 32964393 DOI: 10.1007/s11010-020-03916-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/15/2020] [Indexed: 02/08/2023]
Abstract
An increase in cholesterol levels is perceived during pregnancy and is considered as a normal adaptive response to the development of the fetus. In some pregnancies, excessive increase in total cholesterol with high levels of Low-Density Lipoprotein leads to maladaptation by the fetus to cholesterol demands, resulting in a pathological condition termed as maternal hypercholesterolemia (MH). MH is considered clinically irrelevant and therefore cholesterol levels are not routinely checked during pregnancy, as a consequence of which there is scarce information on its global prevalence in pregnant women. Studies have reported that MH during pregnancy can cause atherogenesis in adults emphasizing the concept of in utero programming of fetus. Moreover, Gestational Diabetes Mellitus, obesity and Polycystic Ovary Syndrome are potential risk factors which strengthen combined pathologies in placenta and fetuses of mothers with MH. However, lack of conclusive evidence on cholesterol transport and underlying programming demand substantial research to develop population-based life style strategies for women in their childbearing years. The current review focuses on the mechanisms and outcomes of MH from existing epidemiological as well as experimental data and presents a detailed insight on this novel risk factor of cardiovascular diseases.
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Affiliation(s)
- V S Jayalekshmi
- Cardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India
- PhD Program in Biotechnology, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Surya Ramachandran
- Cardiovascular Diseases and Diabetes Biology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
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32
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Patel PN, Giugliano RP. Low-density lipoprotein cholesterol lowering therapy for the secondary prevention of atherosclerotic cardiovascular disease. Glob Cardiol Sci Pract 2020; 2020:e202039. [PMID: 33598499 PMCID: PMC7868100 DOI: 10.21542/gcsp.2020.39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is highly prevalent and a major contributor to morbidity and mortality worldwide. Elevated blood cholesterol is a key driver of risk for atherosclerotic events, and patients with established ASCVD comprise a specific high-risk population in which low-density lipoprotein cholesterol (LDL-C) lowering therapy is strongly endorsed by multiple guidelines. An increasing number of medications across several pharmacologic classes are available today in clinical practice. Therefore, guidance on the appropriate use of these interventions is necessary for cost-effective solutions to managing residual atherothrombotic risk. In this review we summarize the key evidence supporting LDL-C lowering as described in the most recent 2018 multi-society Blood Cholesterol Guidelines, and provide a framework for optimizing LDL-C lowering therapy in secondary prevention populations.
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Affiliation(s)
- Parth N Patel
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert P Giugliano
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.,Division of Cardiovascular Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
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33
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Newman CB, Blaha MJ, Boord JB, Cariou B, Chait A, Fein HG, Ginsberg HN, Goldberg IJ, Murad MH, Subramanian S, Tannock LR. Lipid Management in Patients with Endocrine Disorders: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2020; 105:5909161. [PMID: 32951056 DOI: 10.1210/clinem/dgaa674] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 09/17/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This guideline will provide the practicing endocrinologist with an approach to the assessment and treatment of dyslipidemia in patients with endocrine diseases, with the objective of preventing cardiovascular (CV) events and triglyceride-induced pancreatitis. The guideline reviews data on dyslipidemia and atherosclerotic cardiovascular disease (ASCVD) risk in patients with endocrine disorders and discusses the evidence for the correction of dyslipidemia by treatment of the endocrine disease. The guideline also addresses whether treatment of the endocrine disease reduces ASCVD risk. CONCLUSION This guideline focuses on lipid and lipoprotein abnormalities associated with endocrine diseases, including diabetes mellitus, and whether treatment of the endocrine disorder improves not only the lipid abnormalities, but also CV outcomes. Based on the available evidence, recommendations are made for the assessment and management of dyslipidemia in patients with endocrine diseases.
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Affiliation(s)
- Connie B Newman
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York University Grossman School of Medicine, New York, New York
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Jeffrey B Boord
- Department of Administration and Parkview Physicians Group Endocrinology Section, Parkview Health System, Fort Wayne, Indiana
| | - Bertrand Cariou
- Department of Endocrinology, L'institut du thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Alan Chait
- Department of Medicine, University of Washington, Seattle, Washington
| | - Henry G Fein
- Department of Medicine, Division of Endocrinology, Sinai Hospital, Baltimore, Maryland
| | - Henry N Ginsberg
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Ira J Goldberg
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York University Grossman School of Medicine, New York, New York
| | - M Hassan Murad
- Mayo Clinic Evidence-based Practice Center, Rochester, Minnesota
| | | | - Lisa R Tannock
- Department of Internal Medicine, University of Kentucky, Lexington, Kentucky
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Huang YQ, Liu XC, Lo K, Feng YQ, Zhang B. A dose-independent association of triglyceride levels with all-cause mortality among adults population. Lipids Health Dis 2020; 19:225. [PMID: 33059659 PMCID: PMC7566122 DOI: 10.1186/s12944-020-01400-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/06/2020] [Indexed: 11/23/2022] Open
Abstract
Background The relationship between triglyceride (TG) level and the mortality risk of all-cause and cardiovascular disease is not entirely consistent among adults. Methods The present analysis included adult participants from National Health and Nutrition Examination Surveys (NHANES) between the periods 1999–2014. The levels of TG were categorized into < 150, 150–199, 200–250 and ≥ 250 mg/dL respectively. Multivariate Cox regression analysis, stratified analysis and generalized additive model were conducted to reveal the correlation between TG and mortality risk. Results were presented in hazard ratio (HRs) and 95% confidence intervals (CIs). Results There were 18,781 (9130 males, mean age was 45.64 years) participants being included in the analysis. The average follow-up period was 8.25 years, where 1992 (10.61%) cases of all-cause and 421 (2.24%) cardiovascular death have occurred. In the multivariate Cox model, every 1 mg/dL raise in TG has significantly associated with all-cause mortality (HR: 1.08, 95% CI: 1.02, 1.15) but not cardiovascular mortality (HR: 1.10, 95% CI: 0.97, 1.24). When using TG < 150 mg/dL as reference, TG ≥ 250 mg/dL associated with death from all-cause (HR = 1.34, 95% CI: 1.12, 1.60; P = 0.0016 but not cardiovascular death (HR = 1.26, 95% CI: 0.85, 1.88; P = 0.2517). According to smoothing spline plots, the risk of all-cause was the lowest when TG was approximately 135 mg/dL. Conclusion TG might have a dose-independent association with all-cause mortality among adults in United States.
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Affiliation(s)
- Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.,Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA.,Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, South China University of Technology School of Medicine, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
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35
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Chen CL, Liu XC, Liu L, Lo K, Yu YL, Huang JY, Huang YQ, Chen JY. U-Shaped Association of High-Density Lipoprotein Cholesterol with All-Cause and Cardiovascular Mortality in Hypertensive Population. Risk Manag Healthc Policy 2020; 13:2013-2025. [PMID: 33116982 PMCID: PMC7549655 DOI: 10.2147/rmhp.s272624] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/12/2020] [Indexed: 12/30/2022] Open
Abstract
Purpose Whether the paradox of high-density lipoprotein cholesterol (HDL-C) and elevated mortality risk extends to hypertensive patients is unclear. We aimed to investigate the association between HDL-C and all-cause and cardiovascular disease mortality in adults with hypertension. Methods In the National Health and Nutrition Examination Surveys, 11,497 hypertensive participants aged ≥18years old and examined at baseline between 1999 and 2014 were followed up until December 2015. We categorized the HDL-C concentration as ≤30, 31–40, 41–50, 51–60 (reference), 61–70, >70 mg/dL and examined their associations with all-cause and cardiovascular mortality, respectively. Multivariate Cox regression was used to calculated hazard ratio (HR) and 95% confidence interval (CI) for mortality risk. Results During follow-up (median: 9.2 ± 3.8 years), 3012 deaths and 713 cardiovascular deaths were observed. In the restrictive cubic curves, associations of HDL-C levels and all-cause and cardiovascular mortality were detected to be U-shaped. After multivariable adjustment, HRs for all-cause mortality were for the lowest HDL-C concentration (≤30 mg/dL) 1.29 (95% CI, 1.07–1.56) and the highest (>70 mg/dL) 1.20 (1.06–1.37), comparing with the reference group. For cardiovascular mortality, HRs were 1.31 (0.83–1.48) and 1.09 (0.83–1.43), respectively. Similar results were obtained in subgroups stratified by age, gender, race, and taking lipid-lowering drugs. The lowest all-cause mortality risk was observed at HDL-C 66 mg/dL (concentration) and 51–60 mg/dL (range). Conclusion Both lower and higher HDL-C concentration appeared to be associated with higher mortality in hypertensive population. Further investigation is warranted to clarify the underlying mechanisms.
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Affiliation(s)
- Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Kenneth Lo
- Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA
| | - Yu-Ling Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Ji-Yan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
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36
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Huang YQ, Liu XC, Lo K, Liu L, Yu YL, Chen CL, Huang JY, Feng YQ, Zhang B. The U Shaped Relationship Between High-Density Lipoprotein Cholesterol and All-Cause or Cause-Specific Mortality in Adult Population. Clin Interv Aging 2020; 15:1883-1896. [PMID: 33061337 PMCID: PMC7537851 DOI: 10.2147/cia.s271528] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 08/27/2020] [Indexed: 01/22/2023] Open
Abstract
Purpose The associations of high-density lipoprotein cholesterol (HDL-C) with mortality are still unclear. We explored the associations of HDL-C with all-cause and cause-specific mortality in an adult population. Methods Deaths were classified into all-cause, cardiovascular, and cancer mortality. Survival curve, multivariate Cox regression, and subgroup analyses were conducted, and hazard ratio (HR) and 95% confidence interval (CI) were performed. We fitted Cox regression models for all-cause, cardiovascular, and cancer mortality to evaluate their associations with categories of HDL-C (≤30, 31-40, 41-50, 51-60 [reference], 61-70, >70 mg/dL). Results A total of 42,145 (20,415 (48.44%) males, mean age 47.12±19.40 years) subjects were enrolled. At an average follow-up of 97.52±54.03 months, all-cause, cardiovascular, and cancer mortality numbers were 5,061 (12.01), 1,081 (2.56%), and 1,061 (2.52%), respectively. When compared with the reference group (HDL-C: 51-60 mg/dL), a U-shaped association was apparent for all-cause mortality, with elevated risk in participants with the lowest (≤30 mg/dL) (HR=1.33; 95% CI=1.14- 1.56) and highest (>70 mg/dL) (HR=1.14; 95% CI=1.02-1.27) HDL-C concentration. Associations for cardiovascular and cancer mortality were non-linear. An elevated risk for cancer mortality was observed in those with the highest HDL-C concentration (HR=1.06; 95% CI-0.84-1.34) compared with the reference group, although it was not statistically significant. The effect of HDL-C on mortality was adjusted by some traditional risk factors including age, gender, race, or comorbidities. Conclusion A U-shaped association was observed between HDL-C and all-cause mortality among an adult population.
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Affiliation(s)
- Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China.,Department of Epidemiology, Centre for Global Cardio-Metabolic Health, Brown University, Providence, RI, USA
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yu-Ling Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
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Bernheim A, Grunhut J, Tang A, Gofur E, Thai J, Mehta V, Stern J, Jadidi N, Hodes A, Goldwasser B, Arneja A, Krausz D, Coords M, Peti S, Chacko J, Sarkany D. Should Radiologists Comment on Incidental Findings of Vascular Calcifications Found on Abdominal/Pelvic CT in Patients Less Than 50 Years of Age? Acad Radiol 2020; 27:1057-1062. [PMID: 31837970 DOI: 10.1016/j.acra.2019.10.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 10/10/2019] [Accepted: 10/10/2019] [Indexed: 12/21/2022]
Abstract
RATIONALE AND OBJECTIVES To evaluate if incidental abdominopelvic calcified atherosclerosis (ACA) in patients under 50 years of age correlates with cardiovascular disease (CVD) risk factors. Most studies evaluating calcific atherosclerosis and associated increased risk of CVD have concentrated on middle age and older populations. MATERIALS AND METHODS A retrospective review of 519 emergency department patients, aged 25-50 years, receiving computed tomography (CT) was performed and ACA correlated with lipid panels obtained via chart review. Those with calcified atherosclerosis were subdivided by vessel location and calcification burden (mild, moderate, or severe). Patients were followed for six years. Normality, Wilcoxon-Mann-Whitney, Kruskal-Wallis, and chi-square tests were performed. RESULTS Two hundred and sixty-nine patients with incidental ACA on CT and 250 without ACA were studied. Atherosclerotic calcifications had a statistically significant correlation with elevated triglyceride (128 mg/dL vs 105 mg/dL; p = 0.0003) and decreased high-density lipoprotein (38 mg/dL vs 41 mg/dL; p = 0.0032) as compared to the control. Patients with ACA were at higher risk of stroke, heart attack, and death (p < 0.0001) during a six-year follow-up period. CONCLUSION Incidental atherosclerotic calcification on abdominopelvic CT in patients under 50 years of age correlated with elevated triglycerides and decreased high-density lipoprotein as well as higher risk of cardiovascular events. Since radiologists may be the first to identify this finding and CVD is the leading cause of US deaths, proper recognition and reporting of calcification is valuable.
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Affiliation(s)
- Adam Bernheim
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joel Grunhut
- City University of New York Queens College, Queens, New York
| | - Alex Tang
- City University of New York School of Medicine, New York, New York
| | - Ekramul Gofur
- City University of New York School of Medicine, New York, New York
| | - Janice Thai
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Varun Mehta
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Jonathan Stern
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Nima Jadidi
- Radiology Imaging Associates, Landsdowne, Virginia
| | - Adam Hodes
- George Washington University School of Medicine, Washington, District of Columbia
| | - Bernard Goldwasser
- Albert Einstein College of Medicine at Jacobi Medical Center, Bronx, New York
| | - Amrita Arneja
- New York University School of Medicine, New York, New York
| | | | | | - Steven Peti
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Jerel Chacko
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - David Sarkany
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Staten Island University Hospital Northwell Health, Department of Radiology, 475 Seaview Avenue, Staten Island, NY 10305.
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Raygor V, Khera A. New Recommendations and Revised Concepts in Recent Guidelines on the Management of Dyslipidemias to Prevent Cardiovascular Disease: the 2018 ACC/AHA and 2019 ESC/EAS Guidelines. Curr Cardiol Rep 2020; 22:87. [PMID: 32647997 DOI: 10.1007/s11886-020-01331-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to discuss the updated guideline recommendations on management of dyslipidemia for prevention and treatment of cardiovascular disease. RECENT FINDINGS The American College of Cardiology/American Heart Association (ACC/AHA) and European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) published revised cholesterol management guidelines in 2018 and 2019, respectively, to reflect new evidence in the field. Broadly speaking, both emphasize refining cardiovascular disease risk estimation and aggressively lowering low-density lipoprotein-cholesterol (LDL-C) with statin and non-statin agents to curb cardiovascular risk. While they share the same guiding principles, there are important differences in the recommendations from both societies including how they define risk categories and goals for LDL-C lowering. This review summarizes current methods of managing dyslipidemia with a focus on the common themes and notable differences between the 2018 ACC/AHA and 2019 ESC/EAS cholesterol management guidelines.
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Affiliation(s)
- Viraj Raygor
- Department of Internal Medicine and Division of Cardiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-8830, USA
| | - Amit Khera
- Department of Internal Medicine and Division of Cardiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-8830, USA.
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Brownstein AJ, Martin SS. More accurate LDL-C calculation: Externally validated, guideline endorsed. Clin Chim Acta 2020; 506:149-153. [DOI: 10.1016/j.cca.2020.03.030] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/17/2020] [Accepted: 03/19/2020] [Indexed: 11/16/2022]
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Affiliation(s)
- Hyemoon Chung
- Cardiovascular Division, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University
| | - Weon Kim
- Cardiovascular Division, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University
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DeBoer MD, Filipp SL, Gurka MJ. Associations of a metabolic syndrome severity score with coronary heart disease and diabetes in fasting vs. non-fasting individuals. Nutr Metab Cardiovasc Dis 2020; 30:92-98. [PMID: 31662283 PMCID: PMC7393664 DOI: 10.1016/j.numecd.2019.08.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/14/2019] [Accepted: 08/15/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Many traditional assessments of risk for coronary heart disease (CHD) and diabetes require laboratory studies performed after an 8-h fast. We assessed whether metabolic-syndrome (MetS) severity would remain linked to future CHD and diabetes even when assessed from non-fasting samples. METHODS AND RESULTS Participants in the Atherosclerosis Risk in Communities study were assessed at 4 visits and followed for 20-years of adjudicated CHD outcomes. We used Cox proportional-hazard models (for 20-year CHD outcomes) and logistic regression (for 9-year diabetes outcomes) to compare incident disease risk associated with a race/ethnicity-specific MetS-severity Z-score (MetS-Z) calculated in participants who were fasting (≥8 h) or non-fasting. All analyses were adjusted for sex, race, education, income and smoking. MetS Z-scores were overall similar between participants who were always fasting vs. those non-fasting at Visits 1-3 (all values -0.1 to 0.4), while MetS-Z for participants who were non-fasting at Visit-4 were higher at each visit. Baseline MetS-Z was linked to future CHD when calculated from both fasting and non-fasting measurements, with hazard ratio (HR) for fasting MetS-Z 1.53 (95% confidence interval [CI] 1.42, 1.66) and for non-fasting 1.28 (CI 1.08, 1.51). MetS-Z at Visit-1 also remained linked to future diabetes when measured from non-fasting samples, with odds ratio for fasting MetS-Z 3.10 (CI 2.88, 3.35) and for non-fasting 1.92 (CI 1.05, 3.51). CONCLUSIONS MetS-Z remained linked to future CHD and diabetes when assessed from non-fasting samples. A score such as this may allow for identification of at-risk individuals and serve as a motivation toward interventions to reduce risk.
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Affiliation(s)
- Mark D DeBoer
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Virginia, PO Box 800386 Charlottesville, VA, 22908, United States.
| | - Stephanie L Filipp
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, 32608, United States.
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, 32608, United States.
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Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Atherosclerosis 2020; 290:140-205. [PMID: 31504418 DOI: 10.1016/j.atherosclerosis.2019.08.014] [Citation(s) in RCA: 600] [Impact Index Per Article: 150.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188. [PMID: 31504418 DOI: 10.1093/eurheartj/ehz455] [Citation(s) in RCA: 4588] [Impact Index Per Article: 1147.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Zhou H, Zhang S, Sun X, Yang D, Zhuang X, Guo Y, Hu X, Du Z, Zhang M, Liao X. Lipid management for coronary heart disease patients: an appraisal of updated international guidelines applying Appraisal of Guidelines for Research and Evaluation II-clinical practice guideline appraisal for lipid management in coronary heart disease. J Thorac Dis 2019; 11:3534-3546. [PMID: 31559060 PMCID: PMC6753419 DOI: 10.21037/jtd.2019.07.71] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 03/28/2019] [Indexed: 01/04/2023]
Abstract
BACKGROUND Clinical practice guidelines (CPGs) provide many recommendations for hyperlipidemia management, but some of them are still debatable. METHODS We applied the six-domain Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument to evaluate the quality of guidelines with lipid management recommendations for coronary heart disease (CHD), including dyslipidemia and CHD guidelines published from 2009 to 2019. Meanwhile, we synthesized and compared major recommendations and present the consistency and controversy in current dyslipidemia management. RESULTS Among 19 guidelines included, ten guidelines ("strongly recommended" with AGREE scores 61-94%) performed better than the other nine (38-65% as "recommended with some modification") For blood lipid tests, most CHD guidelines simply required fasting sample while dyslipidemia guidelines preferred non-fasting sample except in high triglycerides state. Most guidelines consistently chose low-density lipoprotein cholesterol (LDL-C) as the primary lipid-lowering target (LLT), while non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B were mainly selected as secondary LLTs. The specific goals of LDL-C lowering were either to lower than 70 mg/dL or with at least 50% reduction. All guidelines recommended high intensity or maximally tolerable doses of statins, while ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors were recommended as second-line therapy. CONCLUSIONS The general quality of guidelines for lipid management is satisfactory. Consensus has been reached on the specific goal of lipid reduction and the intensity of statins therapy. Further research is needed to validate the application of non-fasting sample and non-HDL-C target, as well as the efficacy and safety of ezetimibe and PCSK9 inhibitors.
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Affiliation(s)
- Huimin Zhou
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Shaozhao Zhang
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Xiuting Sun
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Daya Yang
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Xiaodong Zhuang
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
- Center for Information Technology & Statistics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Yue Guo
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Xun Hu
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Zhimin Du
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
| | - Meifen Zhang
- School of Nursing, Sun Yat-sen University, Guangzhou 510080, China
| | - Xinxue Liao
- Cardiology Department, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou 510080, China
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Turan E, Tunç R, Turan Y. Comparison of fasting and postprandial levels of commonly used biochemical and hematological parameters. ARCHIVES OF CLINICAL AND EXPERIMENTAL MEDICINE 2019. [DOI: 10.25000/acem.541810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Mora S, Chang CL, Moorthy MV, Sever PS. Association of Nonfasting vs Fasting Lipid Levels With Risk of Major Coronary Events in the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid Lowering Arm. JAMA Intern Med 2019; 179:898-905. [PMID: 31135812 PMCID: PMC6547106 DOI: 10.1001/jamainternmed.2019.0392] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 02/03/2019] [Indexed: 01/25/2023]
Abstract
Importance Recent guidelines have recommended nonfasting for routine testing of lipid levels based on comparisons of nonfasting and fasting populations. However, no previous study has examined the association of cardiovascular outcomes with fasting vs nonfasting lipid levels measured in the same individuals. Objective To compare the association of nonfasting and fasting lipid levels with prospectively ascertained coronary and vascular outcomes and to evaluate whether a strategy of using nonfasting instead of fasting lipid level measurement would result in misclassification of risk for individuals undergoing evaluation for initiation of statin therapy. Design, Setting, and Participants This post hoc prospective follow-up of a randomized clinical trial included 8270 of 10 305 participants from the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid Lowering Arm (ASCOT-LLA) with nonfasting and fasting lipid levels measured 4 weeks apart (including 6855 participants with no prior vascular disease) (median follow-up, 3.3 years; interquartile range, 2.8-3.6 years). Data were collected from February 1, 1998, to December 31, 2002, and analyzed from February 1, 2016, to November 30, 2018. Multivariable Cox models, adjusted for cardiovascular risk factors, were calculated for 40-mg/dL (1-mmol/L) higher values of nonfasting and fasting lipids. Main Outcomes and Measures The trial's primary end point consisted of major coronary events (nonfatal myocardial infarction [MI] and fatal coronary heart disease [212 events]). Secondary analyses examined atherosclerotic cardiovascular disease (ASCVD) events (including MI, stroke, and ASCVD death [351 events]). Results Among the 8270 participants (82.1% male; mean [SD] age, 63.4 [8.5] years), nonfasting samples had modestly higher triglyceride levels and similar cholesterol levels compared to fasting samples. Associations of nonfasting lipid levels with coronary events were similar to those for fasting lipid levels. For example, adjusted hazard ratios (HRs) per 40-mg/dL of low-density lipoprotein cholesterol were 1.32 (95% CI, 1.08-1.61; P = .007) for nonfasting levels and 1.28 (95% CI, 1.07-1.55; P = .008) for fasting levels. For the primary prevention group, adjusted HRs were 1.42 (95% CI, 1.13-1.78; P = .003) for nonfasting levels and 1.37 (95% CI, 1.11-1.69; P = .003) for fasting levels. Results were consistent by randomized treatment arm (atorvastatin calcium, 10 mg/d, or placebo) and similar for ASCVD events. Concordance of fasting and nonfasting lipid levels for classifying participants into appropriate ASCVD risk categories was high (94.8%). Conclusions and Relevance Measurement of nonfasting and fasting lipid levels yields similar results in the same individuals for association with incident coronary and ASCVD events. These results suggest that routine measurement of nonfasting lipid levels may help facilitate ASCVD risk screening and treatment, including consideration of when to initiate statin therapy.
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Affiliation(s)
- Samia Mora
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - C. Lan Chang
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - M. Vinayaga Moorthy
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Peter S. Sever
- National Heart and Lung Institute, Imperial College, London, United Kingdom
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 73:e285-e350. [PMID: 30423393 DOI: 10.1016/j.jacc.2018.11.003] [Citation(s) in RCA: 1474] [Impact Index Per Article: 294.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1231] [Impact Index Per Article: 246.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Sandesara PB, Virani SS, Fazio S, Shapiro MD. The Forgotten Lipids: Triglycerides, Remnant Cholesterol, and Atherosclerotic Cardiovascular Disease Risk. Endocr Rev 2019; 40:537-557. [PMID: 30312399 PMCID: PMC6416708 DOI: 10.1210/er.2018-00184] [Citation(s) in RCA: 281] [Impact Index Per Article: 56.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/08/2018] [Indexed: 12/11/2022]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death worldwide. Low-density lipoprotein cholesterol (LDL-C) is a well-established mediator of atherosclerosis and a key target for intervention for the primary and secondary prevention of ASCVD. However, despite substantial reduction in LDL-C, patients continue to have recurrent ASCVD events. Hypertriglyceridemia may be an important contributor of this residual risk. Observational and genetic epidemiological data strongly support a causal role of triglycerides (TGs) and the cholesterol content within triglyceride-rich lipoproteins (TGRLs) and/or remnant cholesterol (RC) in the development of ASCVD. TGRLs are composed of hepatically derived very low-density lipoprotein and intestinally derived chylomicrons. RC is the cholesterol content of all TGRLs and plasma TGs serve as a surrogate measure of TGRLs and RC. Although lifestyle modification remains the cornerstone for management of hypertriglyceridemia, many novel drugs are in development and have shown impressive efficacy in lowering TG levels. Several ongoing, randomized controlled trials are underway to examine the impact of these novel agents on ASCVD outcomes. In this comprehensive review, we provide an overview of the biology, epidemiology, and genetics of TGs and ASCVD; we discuss current and novel TG-lowering therapies under development.
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Affiliation(s)
- Pratik B Sandesara
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.,Baylor College of Medicine, Houston, Texas
| | - Sergio Fazio
- Center for Preventive Cardiology, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Michael D Shapiro
- Center for Preventive Cardiology, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
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