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Rao C, Zhu L, Yu C, Zhang S, Zha Z, Gu T, Zhang X, Wen M. Association of novel lipid indices with the white matter hyperintensities in cerebral small vessel disease: a cross-sectional study. Lipids Health Dis 2024; 23:333. [PMID: 39402569 PMCID: PMC11472430 DOI: 10.1186/s12944-024-02318-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 09/28/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND Lipids are associated with atherosclerosis, and novel lipid indices have been recently identified to be closely linked to cardiovascular diseases. This study explored the association between four novel lipid indices and the white matter hyperintensities (WMHs) in patients diagnosed with cerebral small vessel disease (CSVD). METHODS Between January 2023 and February 2024, 219 patients were recruited, including 165 patients with CSVD WMHs and 54 healthy controls. Based on WMHs severity, patients with CSVD were categorised into mild and moderate-to-severe cohorts using the Fazekas rating scale. The plasma levels of four novel lipid indices (low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio [LDL-C/HDL-C], triglyceride/high-density lipoprotein cholesterol ratio [TG/HDL-C], total cholesterol/high-density lipoprotein cholesterol ratio [TC/HDL-C], and non-high-density lipoprotein cholesterol [Non-HDL-C]), were rigorously monitored in the enrolled patients. RESULTS A total of 165 patients with CSVD WMHs were enrolled, including 94 with mild WMHs and 71 with moderate-to-severe WMHs. Multivariable logistic regression analysis revealed that LDL-C/HDL-C, TG/HDL-C, TC/HDL-C, and Non-HDL-C levels were significantly associated with WMHs (all P ≤ 0.001). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of plasma lipid levels for WMHs in patients with CSVD. The novel lipid indicators outperformed traditional lipid indicators in assessing the diagnostic capability of WMHs. The combined index of the four blood lipid indices had an optimal cutoff point (OCP) of 0.489, with 88.3% sensitivity and 60.6% specificity. The area under the curve (AUC) is 0.800 (95% confidence interval [CI], 0.731-0.869; P < 0.001). Compared with males (OR = 1.126, 95% CI = 0.779-1.628), females (OR = 2.484, 95% CI = 1.398-4.414; P for interaction = 0.023) had a higher risk of developing WMHs. CONCLUSION This study demonstrates a significant association between four novel lipid indices and the cerebral WMHs in CSVD, highlighting the potential of these markers as novel plasma biomarkers and predictive indicators for assessing CSVD progression and guiding clinical management.
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Affiliation(s)
- Chen Rao
- The Medical School of Anhui University of Science and Technology, Huainan, Anhui Province, People's Republic of China
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Lei Zhu
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China.
- Anhui International Joint Research Center for Nano Carbon-based Materials and Environmental Health, Huainan, Anhui Province, People's Republic of China.
| | - Chuanqin Yu
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Simin Zhang
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Zhiwen Zha
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Tong Gu
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Xuke Zhang
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
| | - Meihai Wen
- Department of Neurology, First Affiliated Hospital of Anhui University of Science and Technology, First People's Hospital of Huainan, Huainan, Anhui Province, People's Republic of China
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Lu J, Zhang H, Chen B, Yang Y, Cui J, Xu W, Song L, Yang H, He W, Zhang Y, Peng W, Li X. Association and its population heterogeneities between low-density lipoprotein cholesterol and all-cause and cardiovascular mortality: A population-based cohort study. Chin Med J (Engl) 2024; 137:2075-2083. [PMID: 39075633 PMCID: PMC11374287 DOI: 10.1097/cm9.0000000000003199] [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: 03/08/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND The association and its population heterogeneities between low-density lipoprotein cholesterol (LDL-C) and all-cause and cardiovascular mortality remain unknown. We aimed to examine the dose-dependent associations of LDL-C levels with specific types of cardiovascular disease (CVD) mortality and heterogeneities in the associations among different population subgroups. METHODS A total of 2,968,462 participants aged 35-75 years from China Health Evaluation And risk Reduction through nationwide Teamwork (ChinaHEART) (2014-2019) were included. Cox proportional hazard models and Fine-Gray subdistribution hazard models were used to estimate associations between LDL-C categories (<70.0, 70.0-99.9, 100.0-129.9 [reference group], 130.0-159.9, 160.0-189.9, and ≥190.0 mg/dL) and all-cause and cause-specific mortality. RESULTS During a median follow-up of 3.7 years, 57,391 and 23,241 deaths from all-cause and overall CVD were documented. We observed J-shaped associations between LDL-C and death from all-cause, overall CVD, coronary heart disease (CHD), and ischemic stroke, and an L-shaped association between LDL-C and hemorrhagic stroke (HS) mortality ( P for non-linearity <0.001). Compared with the reference group (100.0-129.9 mg/dL), very low LDL-C levels (<70.0 mg/dL) were significantly associated with increased risk of overall CVD (hazard ratio [HR]: 1.10, 95% confidence interval [CI]: 1.06-1.14) and HS mortality (HR: 1.37, 95% CI: 1.29-1.45). Very high LDL-C levels (≥190.0 mg/dL) were associated with increased risk of overall CVD (HR: 1.51, 95% CI: 1.40-1.62) and CHD mortality (HR: 2.08, 95% CI: 1.92-2.24). The stronger associations of very low LDL-C with risk of CVD mortality were observed in individuals with older age, low or normal body mass index, low or moderate 10-year atherosclerotic CVD risk, and those without diagnosed CVD or taking statins. Stronger associations between very high LDL-C levels and all-cause and CVD mortality were observed in younger people. CONCLUSIONS People with very low LDL-C had a higher risk of all-cause, CVD, and HS mortality; those with very high LDL-C had a higher risk of all-cause, CVD, and CHD mortality. On the basis of our findings, comprehensive health assessment is needed to evaluate cardiovascular risk and implement appropriate lipid-lowering therapy for people with very low LDL-C.
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Affiliation(s)
- Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Bowang Chen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Wenyao Peng
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Shenzhen Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Guangdong 518057, China
- Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, Henan 451460, China
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Wu Y, Shen P, Xu L, Yang Z, Sun Y, Yu L, Zhu Z, Li T, Luo D, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Association between visit-to-visit lipid variability and risk of ischemic heart disease: a cohort study in China. Endocrine 2024; 84:914-923. [PMID: 38159173 DOI: 10.1007/s12020-023-03661-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
AIMS To explore the associations between visit-to-visit lipid variability and risk of ischemic heart disease (IHD) in a population-based cohort in China. METHODS We evaluated lipid variability in 30,217 individuals from the Yinzhou Health Information System who had ≥3 recorded lipid measurements during 2010-2014. We used various indicators including standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability (ARV) to quantify the variability in triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Overall, a total of 1305 participants with IHD were identified during the follow-up of 194,421 person-years. Subjects in Q4 had a 21% elevated risk of IHD (HR = 1.21, 95% CI: 1.03-1.41) for LDL-C variability (CV) compared with the reference (Q1). The HRs for Q4 vs Q1 were 1.21 (95% CI: 1.04-1.42) for HDL-C variability, and 1.28 (95% CI: 1.10-1.50) for TC variability. However, no association was observed between triglycerides variability and risk of IHD. CONCLUSIONS Higher variability in LDL-C, HDL-C, and TC levels was associated with an elevated risk of IHD, suggesting that lipid variability could be considered as an independent risk factor of IHD.
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Affiliation(s)
- Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Peng Shen
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Yexiang Sun
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Tiezheng Li
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Dan Luo
- Hangzhou Medical College, Hangzhou, 310053, China
| | - Hongbo Lin
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China.
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Zhou X, Li Z, Liu H, Li Y, Zhao D, Yang Q. Antithrombotic therapy and bleeding risk in the era of aggressive lipid-lowering: current evidence, clinical implications, and future perspectives. Chin Med J (Engl) 2023; 136:645-652. [PMID: 36806078 PMCID: PMC10129148 DOI: 10.1097/cm9.0000000000002057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Indexed: 02/23/2023] Open
Abstract
ABSTRACT The clinical efficacy of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) in reducing major cardiovascular adverse events related to atherosclerotic cardiovascular disease (ASCVD) has been well established in recent large randomized outcome trials. Although the cardiovascular and all-cause mortality benefit of PCSK9i remains inconclusive, current cholesterol management guidelines have been modified toward more aggressive goals for lowering low-density lipoprotein cholesterol (LDL-C). Consequently, the emerging concept of "the lower the better" has become the paradigm of ASCVD prevention. However, there is evidence from observational studies of a U-shaped association between baseline LDL-C levels and all-cause mortality in population-based cohorts. Among East Asian populations, low LDL-C was associated with an increased risk for hemorrhagic stroke in patients not on antithrombotic therapy. Accumulating evidence showed that low LDL-C was associated with an enhanced bleeding risk in patients on dual antiplatelet therapy following percutaneous coronary intervention. Additionally, low LDL-C was associated with a higher risk for incident atrial fibrillation and thereby, a possible increase in the risk for intracranial hemorrhage after initiation of anticoagulation therapy. The mechanism of low-LDL-C-related bleeding risk has not been fully elucidated. This review summarizes recent evidence of low-LDL-C-related bleeding risk in patients on antithrombotic therapy and discusses potential measures for reducing this risk, underscoring the importance of carefully weighing the pros and cons of aggressive LDL-C lowering in patients on antithrombotic therapy.
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Affiliation(s)
- Xin Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ziping Li
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hangkuan Liu
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yongle Li
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Dong Zhao
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
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Peng K, Li X, Wang Z, Li M, Yang Y. Association of low-density lipoprotein cholesterol levels with the risk of mortality and cardiovascular events: A meta-analysis of cohort studies with 1,232,694 participants. Medicine (Baltimore) 2022; 101:e32003. [PMID: 36482567 PMCID: PMC9726298 DOI: 10.1097/md.0000000000032003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Lowering elevated low-density lipoprotein cholesterol (LDL-C) is an important strategy to prevent cardiovascular disease (CVD), while some studies report low LDL-C increases all-cause mortality. Our study aimed to explore the appropriate low LDL-C level with the lower CVD risk but with no excess risk for all-cause mortality. METHODS PubMed, Embase, Cochrane Library, and Web of Science were searched until April 7, 2021. Twenty cohort studies with 1232,694 adults were obtained. Effect size index was evaluated using pooled relative risk (RR) with 95% confidence interval (CI). Heterogeneity was assessed using the Cochran's Q test and I2 statistic, and heterogeneity sources was investigated using meta-regression. Publication bias was assessed and sensitivity analysis was performed. RESULTS The risks of all-cause mortality (RR: 1.34, 95%CI: 1.00-1.80), CVD death (RR: 1.79, 95%CI: 1.26-2.54), CHD death (RR: 2.03, 95%CI: 1.36-3.03) were higher in LDL-C ≥ 160 mg/dL than LDL-C of 70-129 mg/dL. Both LDL-C of 130-159 mg/dL and ≥ 160 mg/dL were associated with higher CVD risk than LDL-C of 70-129 mg/dL, with RR of 1.26 (95%CI: 1.08-1.47) and 1.70 (95%CI: 1.35-2.14), respectively. Compared to LDL-C of 70-129 mg/dL, no association was found between LDL < 70 mg/dL and all-cause mortality and CVD events. CONCLUSION Our results found LDL-C ≥ 130 mg/dL was associated with the higher risk of all-cause mortality and CVD risk, indicating that adults with high LDL-C should take interventions to regulate the LDL-C level lower than 130 mg/dL.
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Affiliation(s)
- Ke Peng
- Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, P.R. China
| | - Xingyue Li
- School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, P.R. China
| | - Zhen Wang
- Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, P.R. China
| | - Meiling Li
- Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, P.R. China
| | - Yongjian Yang
- Department of Cardiology, The General Hospital of Western Theater Command, Chengdu, P.R. China
- * Correspondence: Yongjian Yang, Department of Cardiology, The General Hospital of Western Theater Command, No.270 Rongdu Road, Jinniu District, Chengdu 610083, P.R. China (e-mail: )
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Tang M, Zhao Q, Yi K, Wu Y, Xiang Y, Cui S, Su X, Yu Y, Zhao G, Jiang Y. Association between four nontraditional lipids and ischemic stroke: a cohort study in Shanghai, China. Lipids Health Dis 2022; 21:72. [PMID: 35974376 PMCID: PMC9380319 DOI: 10.1186/s12944-022-01683-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 07/28/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The correlation between nontraditional lipids and ischemic stroke (IS) is inconsistent and controversial. This study aimed to examine the association of four nontraditional lipids with IS risk in Chinese adults. METHODS This prospective community-based cohort study was performed in Songjiang District, Shanghai, China. The study began in 2016 and included 34,294 participants without stroke before the investigation. The association between nontraditional lipids (nonhigh-density lipoprotein cholesterol [non-HDL-C], total cholesterol/high-density lipoprotein cholesterol [TC/HDL-C], triglyceride [TG]/HDL-C, and low-density lipoprotein cholesterol [LDL-C]/HDL-C) and IS was studied with multivariate Cox regression models. The dose-response associations between these four serum lipids and IS were explored using restricted cubic spline (RCS) analysis. RESULTS There were a total of 458 IS cases with 166,380 person-years of follow-up. Compared with the lowest tertiles, the highest tertiles of the nontraditional blood lipids showed greater IS risk after controlling for potential confounders. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were as follows: TC/HDL-C, 1.63 (1.28-2.07); TG/HDL-C, 1.65 (1.28-2.13); LDL-C/HDL-C, 1.51 (1.18-1.92); and non-HDL-C, 1.43 (1.13-1.81). The fully adjusted RCS curves presented a nonlinear relationship, and the risk increased when the TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C levels were > 3.47, > 0.92, and > 1.98, respectively. CONCLUSIONS This community-based cohort study presents a positive association between the four nontraditional lipids and IS incidence. Maintaining relatively low lipid ratios can be beneficial for preventing stroke. Nontraditional lipids can be considered targets for managing blood lipids.
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Affiliation(s)
- Minhua Tang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China.,Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Kangqi Yi
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Yiling Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Yu Xiang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Shuheng Cui
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Xuyan Su
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Yuting Yu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China.
| | - Yonggen Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China.
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Bruun-Rasmussen NE, Napolitano G, Christiansen C, Bojesen SE, Ellervik C, Jepsen R, Rasmussen K, Lynge E. Allostatic load as predictor of mortality: a cohort study from Lolland-Falster, Denmark. BMJ Open 2022; 12:e057136. [PMID: 35623757 PMCID: PMC9327798 DOI: 10.1136/bmjopen-2021-057136] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES The purposes of the present study were to determine the association between (1) 10 individual biomarkers and all-cause mortality; and between (2) allostatic load (AL), across three physiological systems (cardiovascular, inflammatory, metabolic) and all-cause mortality. DESIGN Prospective cohort study. SETTING We used data from the Lolland-Falster Health Study undertaken in Denmark in 2016-2020 and used data on systolic blood pressure (SBP) and diastolic blood pressure (DBP), pulse rate (PR), waist-hip ratio (WHR) and levels of low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides, glycated haemoglobin A1c (HbA1c), C-reactive protein (CRP) and serum albumin. All biomarkers were divided into quartiles with high-risk values defined as those in the highest (PR, WHR, triglycerides, HbA1c, CRP) or lowest (HDL-c, albumin) quartile, or a combination hereof (LDL-c, SBP, DBP). The 10 biomarkers were combined into a summary measure of AL index. Participants were followed-up for death for an average of 2.6 years. PARTICIPANTS We examined a total of 13 725 individuals aged 18+ years. PRIMARY OUTCOME MEASURE Cox proportional hazard regression (HR) analysis were performed to examine the association between AL index and mortality in men and women. RESULTS All-cause mortality increased with increasing AL index. With low AL index as reference, the HR was 1.33 (95% CI: 0.89 to 1.98) for mid AL, and HR 2.37 (95% CI: 1.58 to 3.54) for high AL. CONCLUSIONS Elevated physiological burden measured by mid and high AL index was associated with a steeper increase of mortality than individual biomarkers.
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Affiliation(s)
| | - George Napolitano
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | - Stig Egil Bojesen
- Department of Clinical Biochemistry, Herlev Hospital, Herlev, Denmark
| | - Christina Ellervik
- Department of Data and Development Support, Region Sjaelland, Soro, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Randi Jepsen
- Centre for Epidemiological Research, Nykobing Falster Hospital, Nykobing, Denmark
| | - Knud Rasmussen
- Department of Data and Development Support, Region Sjaelland, Soro, Denmark
| | - Elsebeth Lynge
- Centre for Epidemiological Research, Nykobing Falster Hospital, Nykobing, Denmark
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8
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Zou X, Li JH, Hu YX, Wang HJ, Sun SS, Xu WH, Deng XL, Sun T, Cao J, Fan L, Si QJ. Serum Lipid Profiles and All-Cause Mortality: A Retrospective Single Center Study on Chinese Inpatient Centenarians. Front Public Health 2022; 10:776814. [PMID: 35646784 PMCID: PMC9136240 DOI: 10.3389/fpubh.2022.776814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 04/20/2022] [Indexed: 11/21/2022] Open
Abstract
Objectives To analyze the serum lipid profiles and investigate the relationship between the lipoprotein cholesterol levels and all-cause mortality in Chinese inpatient centenarians. Design Retrospective study. Methods Centenarians aged 100 years and older were admitted from January 2010 to January 2021 in our hospital. All centenarians completed a follow up visit till April 2021 of all-cause mortality and serum lipid profiles, including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) levels. Cox proportional hazard models were used to assess the association between lipid profiles and all-cause mortality. Results (1) These 121 centenarians on average were 100.85 ± 1.37 years old (100~107 years), including 114 males and 7 females. (2) The rate of treatment with lipid-lowering drugs was 69.4%, and the lipid-lowering drugs were mainly statins (63.6%). (3) The results of serum lipid profiles were as follows: TC 3.90 ± 0.69 mmol/L, TG 1.36 ± 0.55 mmol/L, HDL-C 1.14 ± 0.24 mmol/L, and LDL-C 2.05 ± 0.46 mmol/L. (4) The median follow-up time was 589 days (95% CI: 475, 703), and the all-cause mortality rate was 66.1%. (5) Multivariable analysis showed that higher TC level (HR = 1.968, 95% CI = 1.191-3.253, P = 0.008), lower LDL-C level (HR = 0.379, 95% CI = 0.212-0.677, P = 0.001) was independent factors contributed to all-cause mortality. Sensitivity analysis showed that the above results were stable. The therapy and complication morbidity did not present significant publication bias. Conclusions The serum lipid profiles of Chinese inpatient centenarians were lower than those of the previous studies. Low LDL-C level was associated with an increased risk of all-cause mortality, which may indicate that more intensive lowering of LDL-C had a potential adverse effect on all-cause mortality for centenarians.
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Affiliation(s)
- Xiao Zou
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jian-hua Li
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yi-xin Hu
- The Forth Healthcare Department of The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Hai-jun Wang
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Sha-sha Sun
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Wei-hao Xu
- Haikou Cadre's Sanitarium of Hainan Military Region, Hainan, China
| | - Xin-li Deng
- Laboratory Department of The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ting Sun
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jian Cao
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Li Fan
- Cardiology Department of The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Quan-jin Si
- The Third Healthcare Department of The Second Medical Center, Chinese PLA General Hospital, Beijing, China
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9
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Peng L, Liu L, Ma N, Yang F, Nie C, Yang T, Zeng Q, Wang Z, Xu D, Ma L, Xu Y, Hong F. The dose-response relationship of serum uric acid with Dyslipidaemia and its components: a cross-sectional study of a Chinese multi-ethnic cohort. Lipids Health Dis 2022; 21:36. [PMID: 35369882 PMCID: PMC8978377 DOI: 10.1186/s12944-022-01647-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The association between serum uric acid (SUA) and the components of dyslipidaemia and their dose-response relationships have not been thoroughly explored. This study assessed the relationship between SUA and each dyslipidaemia component in Dong, Miao, and Bouyei populations in Guizhou by sex and ethnicities and investigated the dose-response relationship. METHODS In total, 16,092 participants aged 30-79 years from The China Multi-Ethnic Cohort (CMEC) Study were examined. Multivariable logistic regression models were applied to explore the relationship between SUA and each dyslipidaemia component by sex and three ethnicities. The dose-response associations between SUA and various dyslipidaemias were investigated using restricted cubic spline regression. RESULTS After controlling for confounding factors, the SUA level in total participants positively correlated with each dyslipidaemia component, and women had higher odds ratios (ORs) for each dyslipidaemia component than men (P for trend < 0.001). At the SUA level > 6.37 mg/dL, ORs (95% CI) for dyslipidaemia in the Dong, Miao and Bouyei were 2.89 (2.00-4.19), 2.43 (1.70-3.48), and 3.26 (2.23-4.78), respectively. When the SUA concentration increased by 1 mg/dL, the ORs (95% CI) for total dyslipidaemia was 1.31 (1.24-1.37). A positive dose-response but nonlinear association was found between SUA and total dyslipidaemia, high total cholesterol, and low HDL, whereas an inverse U-shaped association was found between SUA and high LDL-C ( P-nonlinear< 0.0001). CONCLUSION The SUA level was positively correlated with each dyslipidaemia component in Dong, Miao, and Bouyei adults, and sex and ethnic differences were also found. A nonlinear dose-response relationship was found between SUA levels and dyslipidaemia and its components. Further research is warranted to investigate the causal link between SUA levels and dyslipidaemia incidence.
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Affiliation(s)
- Lian Peng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Nana Ma
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Fan Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Chan Nie
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Tingting Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Qibing Zeng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Ziyun Wang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China
| | - Degan Xu
- Guiyang Center for Disease Control and Prevention, Guiyang, 550003, China
| | - Lu Ma
- Guiyang Center for Disease Control and Prevention, Guiyang, 550003, China
| | - Yuyan Xu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
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10
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Tang Y, Hu L, Liu Y, Zhou B, Qin X, Ye J, Shen M, Wu Z, Zhang P. Possible mechanisms of cholesterol elevation aggravating COVID-19. Int J Med Sci 2021; 18:3533-3543. [PMID: 34522180 PMCID: PMC8436106 DOI: 10.7150/ijms.62021] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 08/04/2021] [Indexed: 12/23/2022] Open
Abstract
Importance: Despite the availability of a vaccine against the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), humans will have to live with this virus and the after-effects of the coronavirus disease 2019 (COVID-19) infection for a long time. Cholesterol plays an important role in the infection and prognosis of SARS-CoV-2, and the study of its mechanism is of great significance not only for the treatment of COVID-19 but also for research on generic antiviral drugs. Observations: Cholesterol promotes the development of atherosclerosis by activating NLR family pyrin domain containing 3 (NLRP3), and the resulting inflammatory environment indirectly contributes to COVID-19 infection and subsequent deterioration. In in vitro studies, membrane cholesterol increased the number of viral entry sites on the host cell membrane and the number of angiotensin-converting enzyme 2 (ACE2) receptors in the membrane fusion site. Previous studies have shown that the fusion protein of the virus interacts with cholesterol, and the spike protein of SARS-CoV-2 also requires cholesterol to enter the host cells. Cholesterol in blood interacts with the spike protein to promote the entry of spike cells, wherein the scavenger receptor class B type 1 (SR-B1) plays an important role. Because of the cardiovascular protective effects of lipid-lowering therapy and the additional anti-inflammatory effects of lipid-lowering drugs, it is currently recommended to continue lipid-lowering therapy for patients with COVID-19, but the safety of extremely low LDL-C is questionable. Conclusions and Relevance: Cholesterol can indirectly increase the susceptibility of patients to SARS-CoV-2 and increase the risk of death from COVID-19, which are mediated by NLRP3 and atherosclerotic plaques, respectively. Cholesterol present in the host cell membrane, virus, and blood may also directly participate in the virus cell entry process, but the specific mechanism still needs further study. Patients with COVID-19 are recommended to continue lipid-lowering therapy.
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Affiliation(s)
- Yan Tang
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Longtai Hu
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- School of Traditional Chinese Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Yi Liu
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Bangyi Zhou
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Xiaohuan Qin
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Jujian Ye
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
- Zhujiang Hospital, Southern Medical University/The Second School of Clinical Medicine, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Maoze Shen
- Department of Cardiology, Raoping County People's Hospital, 161 Caichang Street, Huanggang Town, Chaozhou, 515700, Guangdong, People's Republic of China
| | - Zhijian Wu
- Department of Cardiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, No. 6, Chenggui Road, East District, Zhongshan, 528403, Guangdong, People's Republic of China
| | - Peidong Zhang
- Department of Cardiology, Heart Center, Zhujiang Hospital, Southern Medical University, 235 Industrial Avenue, Guangzhou, 510282, Guangdong, People's Republic of China
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