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Wu W, Chen Y, Zhang C, Wu K, Zheng H, Cai Z, Wang Y, Fu P, Lan Y, Chen S, Wu S, Chen Y. Remnant cholesterol is superior to other lipid-related parameters for the prediction of cardiometabolic disease risk in individuals with hypertension: The Kailuan study. Int J Cardiol 2024; 417:132541. [PMID: 39265790 DOI: 10.1016/j.ijcard.2024.132541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 08/20/2024] [Accepted: 09/09/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND It is uncertain which lipid-related parameter is most suitable for predicting the risk of cardiometabolic disease (CMD) in individuals with hypertension. AIMS To explore which lipid-related parameter is most suitable for predicting the risk of CMD. METHODS AND RESULTS We studied 30,378 patients with hypertension who completed the 2006-2007 Kailuan health examination and followed up until December 31, 2021. In the constructed model, the utilities of lipid-related parameters for the prediction of CMD were compared using the C-index, NRI, and IDI. The best predictor (remnant cholesterol, RC) was identified and the participants were grouped according to RC quartile. Cox proportional hazard analysis was then used to evaluate the relationship between RC and the risk of CMD. During a median follow-up period of 14.7 years (IQR 5.3-15.1), 9502 (31.27 %) participants with hypertension developed CMD. The C-index, NRI, and IDI values for RC were higher than those for the other lipid parameters. After adjustment for multiple potential confounding factors, compared with the quartile (Q)1 RC group, the adjusted hazard ratios for CMD of the Q2-Q4 groups were 1.09 (1.03-1.16), 1.17 (1.11-1.24), and 1.25 (1.18-1.33) (P < 0.0001). Restrictive cubic spline analysis revealed dose-dependent relationships of lipid parameters with the risk of CMD. CONCLUSIONS RC is superior to other lipid parameters for the prediction of the risk of CMD in individuals with hypertension. As the concentration of RC increases, the risk of CMD in such individuals also increases.
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Affiliation(s)
- Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China; Shantou University Medical College, Shantou, China
| | - Yanjuan Chen
- Department of Endocrinology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Changyi Zhang
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Kuangyi Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Huancong Zheng
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiwei Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yuxian Wang
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Peng Fu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China.
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
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Huang S, Chen J, Liu X, Xing C, Zhao L, Chan K, Lu G. Evaluation of the Pharmaceutical Activities of Chuanxiong, a Key Medicinal Material in Traditional Chinese Medicine. Pharmaceuticals (Basel) 2024; 17:1157. [PMID: 39338320 PMCID: PMC11434844 DOI: 10.3390/ph17091157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/25/2024] [Accepted: 08/27/2024] [Indexed: 09/30/2024] Open
Abstract
Szechwan lovage rhizome (SLR, the rhizome of Ligusticum chuanxiong Hort., Chuanxiong in Chinese transliteration) is one Chinese materia medica (CMM) commonly used to activate blood circulation and remove blood stasis. SLR is applicable to most blood stasis syndromes. It has significant clinical efficacy in relation to human diseases of the cardiocerebrovascular system, nervous system, respiratory system, digestive system, urinary system, etc. Apart from China, SLR is also used in Singapore, Malaysia, the European Union, and the United States of America. However, the current chemical markers in pharmacopeia or monography for the quality assessment of SLR are not well characterized or specifically characterized, nor do they fully reflect the medicinal efficacy of SLR, resulting in the quality of SLR not being effectively controlled. CMM can only have medicinal efficacy when they are applied in vivo to an organism. The intensity of their pharmaceutical activities can more directly represent the quality of CMM. Therefore, the chemical constituents and pharmacological actions of SLR are reviewed in this paper. In order to demonstrate the medicinal efficacy of SLR in promoting blood circulation and removing blood stasis, bioassay methods are put forward to evaluate the pharmaceutical activities of SLR to improve hemorheology, hemodynamics, and vascular microcirculation, as well as its anti-platelet aggregation and anticoagulation properties. Through comprehensive analyses of these pharmaceutical properties, the quality and therapeutic value of SLR are ascertained.
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Affiliation(s)
- Shiwei Huang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; (S.H.); (J.C.); (X.L.); (C.X.)
- Research Institute of Chinese Medicines as Drug & Food, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Jiamei Chen
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; (S.H.); (J.C.); (X.L.); (C.X.)
- Research Institute of Chinese Medicines as Drug & Food, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Xiaohua Liu
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; (S.H.); (J.C.); (X.L.); (C.X.)
- Research Institute of Chinese Medicines as Drug & Food, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Chunxin Xing
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; (S.H.); (J.C.); (X.L.); (C.X.)
- Research Institute of Chinese Medicines as Drug & Food, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Lu Zhao
- Sichuan Institute for Drug Control (Sichuan Testing Center of Medical Devices), Chengdu 611731, China;
| | - Kelvin Chan
- Centre for Natural Products Discovery, School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
- NICM Health Research Institute, Western Sydney University, Sydney, NSW 1797, Australia
| | - Guanghua Lu
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; (S.H.); (J.C.); (X.L.); (C.X.)
- Research Institute of Chinese Medicines as Drug & Food, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
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Zhang W, Huo W, Hu H, Li T, Yuan L, Zhang J, Feng Y, Wu Y, Fu X, Ke Y, Wang M, Wang L, Chen Y, Gao Y, Li X, Sun L, Pang J, Zheng Z, Hu F, Zhang M, Liu Y, Hu D, Zhao Y. Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk. Lipids Health Dis 2024; 23:115. [PMID: 38643148 PMCID: PMC11031917 DOI: 10.1186/s12944-024-02095-z] [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: 02/20/2024] [Accepted: 03/27/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose (TyG) index are novel indexes for insulin resistance (IR). We aimed to evaluate associations of TG/HDL-C and TyG with arterial stiffness risk. METHODS We enrolled 1979 participants from the Rural Chinese Cohort Study, examining arterial stiffness by brachial-ankle pulse wave velocity (baPWV). Logistic and linear regression models were employed to calculate effect estimates. For meta-analysis, we searched relevant articles from PubMed, Embase and Web of Science up to August 26, 2023. The fixed-effects or random-effects models were used to calculate the pooled estimates. We evaluated dose-response associations using restricted cubic splines. RESULTS For cross-sectional studies, the adjusted ORs (95%CIs) for arterial stiffness were 1.12 (1.01-1.23) and 1.78 (1.38-2.30) for per 1 unit increment in TG/HDL-C and TyG. In the meta-analysis, the pooled ORs (95% CIs) were 1.26 (1.14-1.39) and 1.57 (1.36-1.82) for per 1 unit increment of TG/HDL-C and TyG. Additionally, both TG/HDL-C and TyG were positively related to PWV, with β of 0.09 (95% CI 0.04-0.14) and 0.57 (95% CI 0.35-0.78) m/s. We also found linear associations of TG/HDL-C and TyG with arterial stiffness risk. CONCLUSIONS High TG/HDL-C and TyG were related to increased arterial stiffness risk, indicating TG/HDL-C and TyG may be convincing predictors of arterial stiffness.
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Affiliation(s)
- Wenkai Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Weifeng Huo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yamin Ke
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Mengmeng Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Longkang Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yaobing Chen
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yajuan Gao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Liang Sun
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - Jinyuan Pang
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Zeqiang Zheng
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
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Bétrisey S, Haller ML, Efthimiou O, Speierer A, Del Giovane C, Moutzouri E, Blum MR, Aujesky D, Rodondi N, Gencer B. Lipid-Lowering Therapy and Risk of Hemorrhagic Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Am Heart Assoc 2024; 13:e030714. [PMID: 38323514 PMCID: PMC11010101 DOI: 10.1161/jaha.123.030714] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 12/12/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND There is debate over whether statins increase risk of hemorrhagic stroke, so we assessed current evidence, including data from new statin trials and trials of nonstatin low-density lipoprotein-cholesterol (LDL-C)- and triglyceride-lowering therapies. METHODS AND RESULTS We performed a systematic review of large randomized clinical trials (≥1000 patients with ≥2 years follow-up) of LDL-C-lowering therapy (statin, ezetimibe, and PCSK-9 [proprotein convertase subtilisin/kexin type 9] inhibitor) and triglyceride-lowering therapy (omega-3 supplements and fibrate) that reported hemorrhagic stroke as an outcome. We searched MEDLINE, Embase, and Cochrane Library up to July 2, 2021 and updated a meta-analysis of cardiovascular statin trials published in 2012. Among our several subgroup analyses, we looked at difference depending on stroke status and also depending on age. We identified 37 trials for LDL-C lowering (284 301 participants) and 11 for triglyceride lowering (120 984 participants). Overall, we found a higher risk of hemorrhagic stroke for LDL-C lowering, risk ratio (RR) 1.16 (95% CI, 1.01-1.32, P=0.03). For statins (33 trials, 216 258 participants), RR=1.17 (95% CI, 1.01-1.36); for PCSK-9 inhibitors (2 trials, 46 488 participants), RR=0.86 (95% CI, 0.43-1.74); and for ezetimibe (2 trials, 21 555 participants), RR=1.14 (95% CI, 0.64-2.03). In statin trials of patients with previous stroke/transient ischemic attack, RR was 1.46 (95% CI, 1.05-2.04), and in trials with mean age ≥65 years old, RR=1.34 (95% CI, 1.04-1.73) (Pint=0.14 and Pint=0.23 respectively); for triglyceride lowering (11 trials, 120 984 participants), RR=1.05 (95% CI, 0.86-1.30). CONCLUSIONS We found evidence for a small increased risk of hemorrhagic stroke events with LDL-C-lowering therapies but no clear evidence for triglyceride-lowering therapies. REGISTRATION URL: https://www.crd.york.ac.uk/prospero; Unique identifier: CRD42021275363.
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Affiliation(s)
- Sylvain Bétrisey
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
| | - Moa Lina Haller
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
| | - Orestis Efthimiou
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
- Institute of Social and Preventive Medicine (ISPM)University of BernSwitzerland
| | - Alexandre Speierer
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
- Department of Medical and Surgical Sciences for Children and AdultsUniversity Hospital of Modena and Reggio EmiliaModenaMOItaly
| | - Elisavet Moutzouri
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
- Department of General Internal Medicine, Spital EmmentalBurgdorfSwitzerland
| | - Manuel R. Blum
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
| | - Drahomir Aujesky
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
| | - Nicolas Rodondi
- Department of General Internal Medicine, InselspitalBern University Hospital, University of BernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
| | - Baris Gencer
- Institute of Primary Health Care (BIHAM)University of BernSwitzerland
- Department of CardiologyGeneva University Hospital (HUG), University of GenevaGenevaSwitzerland
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Wu W, Chen G, Wu K, Zheng H, Chen Y, Wang X, Huang Z, Cai Z, Cai Z, Chen Z, Lan Y, Chen S, Wu S, Chen Y. Cumulative exposure to high remnant-cholesterol concentrations increases the risk of cardiovascular disease in patients with hypertension: a prospective cohort study. Cardiovasc Diabetol 2023; 22:258. [PMID: 37735420 PMCID: PMC10515262 DOI: 10.1186/s12933-023-01984-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND The relationship of cumulative remnant-cholesterol (Cum-RC) concentration with the risk of cardiovascular disease (CVD) in patients with hypertension remains unclear. METHODS We studied data for 28,698 individuals for whom three consecutive total cholesterol, high-density lipoprotein-cholesterol (HDL-C), and triglyceride concentrations were available, and who did not have CVD (14,349 with hypertension and 14,349 without), that was collected between 2006 and 2010. Participants with hypertension were placed into four groups based on Cum-RC quartile: a Q1 group (< 26.40 mg/dl), a Q2 group (26.40-39.56 mg/dl), a Q3 group (39.57-54.65 mg/dl), and a Q4 group (≥ 54.66 mg/dl). Cox proportional hazards models were used to evaluate the relationship between Cum-RC and the risk of CVD. RESULTS Over a median 10.9 (interquartile range, 10.5-11.3) years, 1,444 participants with hypertension developed CVD. After adjustment for multiple potential confounding factors, and compared with the Q1 Cum-RC group of the participants with hypertension, the adjusted hazard ratios for CVD for the Q2-Q4 groups were 1.07(0.92,1.26), 1.08(0.91,1.28), and 1.26(1.03,1.54) (P = 0.0405); those for myocardial infarction were 1.51(1.00,2.31), 2.02(1.22,3.27), and 2.08(1.41,3.28) (P < 0.0001); and those for ischemic stroke were 1.02(0.84,1.24), 1.04(0.86,1.25), and 1.29(1.02,1.62), respectively (P = 0.0336). However, no significant relationship was found between Cum-RC and the risk of hemorrhage stroke. At the same Cum-RC, the risk of CVD was significantly higher in participants with hypertension than in those without. CONCLUSIONS A consistently high remnant-cholesterol concentration increases the risk of CVD in individuals with hypertension. Therefore, the achievement of blood pressure and RC concentration targets should help reduce the risk of CVD in individuals with hypertension.
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Affiliation(s)
- Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Guanzhi Chen
- Cardiac Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kuangyi Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Huancong Zheng
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Yanjuan Chen
- Department of Endocrinology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | | | - Zegui Huang
- Shantou University Medical College, Shantou, China
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
| | - Zhiwei Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
- Shantou University Medical College, Shantou, China
| | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East RD, Tangshan, 063000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East RD, Tangshan, 063000, China.
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North RD, Shantou, 515000, China.
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Khil J, Kim SM, Chang J, Choi S, Lee G, Son JS, Park SM, Keum N. Changes in total cholesterol level and cardiovascular disease risk among type 2 diabetes patients. Sci Rep 2023; 13:8342. [PMID: 37221278 DOI: 10.1038/s41598-023-33743-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/18/2023] [Indexed: 05/25/2023] Open
Abstract
Despite many diabetic patients having hypercholesterolemia, the association of total cholesterol (TC) levels with CVD risk in type 2 diabetes (T2D) patients is unclear. Diagnosis of type 2 diabetes often leads to changes in total cholesterol (TC) levels. Thus, we examined whether changes in TC levels from pre- to post-diagnosis of T2D were associated with CVD risk. From the National Health Insurance Service Cohort, 23,821 individuals diagnosed with T2D from 2003 to 2012 were followed-up for non-fatal CVD incidence through 2015. Two measurements of TC, 2 years before and after T2D diagnosis, were classified into 3 levels (low, middle, high) to define changes in cholesterol levels. Cox proportional hazards regression was performed to estimate adjusted hazards ratios (aHRs) and 95% confidence intervals (CIs) for the associations between changes in cholesterol levels and CVD risk. Subgroup analyses were performed by use of lipid-lowering drugs. Compared with low-low, aHR of CVD was 1.31 [1.10-1.56] for low-middle and 1.80 [1.15-2.83] for low-high. Compared with middle-middle, aHR of CVD was 1.10 [0.92-1.31] for middle-high but 0.83 [0.73-0.94] for middle-low. Compared with high-high, aHR of CVD was 0.68 [0.56-0.83] for high-middle and 0.65 [0.49-0.86] for high-low. The associations were observed regardless of use of lipid-lowering drugs. For diabetic patients, management of TC levels may be important to lower CVD risk.
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Affiliation(s)
- Jaewon Khil
- Department of Food Science and Biotechnology, Dongguk University Graduate School, Seoul, Korea
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sung Min Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Jooyoung Chang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Seulggie Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | | | - Joung Sik Son
- Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.
| | - NaNa Keum
- Department of Food Science and Biotechnology, Dongguk University Graduate School, Seoul, Korea.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Li J, Li G, Zhu Y, Lei X, Chen G, Zhang J, Sun X. Role of LDL-C level alteration in increased mortality risks in spontaneous intracerebral hemorrhage patients: Systematic review and meta-analysis. Front Neurol 2023; 14:1114176. [PMID: 36925942 PMCID: PMC10011101 DOI: 10.3389/fneur.2023.1114176] [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: 12/02/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Background Current studies indicate a contradictory relationship between decreased mortality risks of spontaneous intracerebral hemorrhage (sICH) and elevated low-density lipoprotein cholesterol (LDL-C) levels. Thus, this meta-analysis was designed to examine the involvement of high LDL-C levels in a lower mortality risk of sICH patients. Methods PubMed, Cochrane, and Embase databases were searched up to the date of August 3rd, 2022. Pooled odds ratio (OR) with a 95% confidence interval (CI) was estimated for the higher vs. lower serum LDL-C level groups. Subgroup and sensitivity analyses were also carried out. Egger's test was applied to detect any potential publication bias. Results Of 629 citations reviewed, 8 eligible cohort studies involving 83,013 patients were enrolled in this meta-analysis. Compared with lower serum LDL-C levels containing patients, higher serum LDL-C patients exhibited significantly decreased risks of 3-month mortality (OR: 0.51; 95%CI: 0.33-0.78; I2 = 47.8%); however, the LDL-C level change wasn't significantly associated with in-hospital mortality risks (OR: 0.92; 95%CI: 0.63-1.33; I2 = 91.4%) among sICH subjects. All studies included were classified as high-quality investigations. Conclusions This meta-analysis suggests a higher LDL-C level may decrease the mortality risk in sICH patients. LDL-C level increase is inversely associated with the 3-month mortality risks in these patients but not significantly correlated with the in-hospital mortality risks. Further well-designed prospective studies with extended follow-up periods are needed to confirm these findings and explore underlying cross-talks. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022318318, identifier: PROSPERO 2022 CRD42022318318.
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Affiliation(s)
- Jing Li
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Gang Li
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yajun Zhu
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xingwei Lei
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guihu Chen
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiachun Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaochuan Sun
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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8
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Svendsen K, Olsen T, Vinknes KJ, Mundal LJ, Holven KB, Bogsrud MP, Leren TP, Igland J, Retterstøl K. Risk of stroke in genetically verified familial hypercholesterolemia: A prospective matched cohort study. Atherosclerosis 2022; 358:34-40. [DOI: 10.1016/j.atherosclerosis.2022.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/14/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022]
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9
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Huang Z, Ding X, Yue Q, Wang X, Chen Z, Cai Z, Li W, Cai Z, Chen G, Lan Y, Wu W, Wu S, Chen Y. Triglyceride-glucose index trajectory and stroke incidence in patients with hypertension: a prospective cohort study. Cardiovasc Diabetol 2022; 21:141. [PMID: 35897017 PMCID: PMC9331781 DOI: 10.1186/s12933-022-01577-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/19/2022] [Indexed: 02/05/2023] Open
Abstract
Background It has been suggested that the baseline triglyceride-glucose (TyG) index, a simple surrogate measure for insulin resistance, is significantly associated with the occurrence of stroke. Nevertheless, the impact of longitudinal patterns of TyG on the stroke risk in hypertensive patients is still unknown. Hence, this study aimed to investigate the association between TyG index trajectory and stroke risk among hypertensive patients. Methods This prospective study included 19,924 hypertensive patients from the Kailuan Study who underwent three waves survey and were free of myocardial infarction, cancer and stroke before or during 2010. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2], and latent mixed modelling was used to identify the trajectory of TyG during the exposure period (2006–2010). Furthermore, the Cox proportional hazard models were applied to estimate the hazard ratio (HR) and 95% confidence interval (CI) for incident stroke of different trajectory groups. Results Five distinct TyG trajectory were identified during 2006–2010: low-stable (n = 2483; range, 8.03–8.06), moderate low-stable (n = 9666; range, 8.58–8.57), moderate high-stable (n = 5759; range, 9.16–9.09), elevated-stable (n = 1741; range, 9.79–9.75), and elevated-increasing (n = 275; range, 10.38–10.81). During the median follow-up of 9.97 years, 1,519 cases of incident stroke were identified, including 1,351 with ischemic stroke and 215 with hemorrhage stroke. After adjusting for confounding variables, the HR and 95% CI of stroke were 2.21 (1.49,3.28) for the elevated-increasing group, 1.43 (1.13,1.83) for the elevated-stable group, 1.35 (1.10,1.64) for the moderate high-stable group, 1.26 (1.06,1.52) for the moderate low-stable group, respectively, when compare with the low-stable group. Similar results were observed in ischemic stroke, but a significant association was not found between TyG trajectory and risk of hemorrhage stroke. Conclusion A long-term elevated TyG index in hypertensive patients is associated with an increased risk of stroke, especially ischemic stroke. This finding implies that regular monitoring of TyG index may assist in identifying individuals at a higher risk of stroke among patients with hypertension. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01577-7.
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Affiliation(s)
- Zegui Huang
- Shantou University Medical College, Shantou, China, Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Xiong Ding
- School of Public Health, Wuhan University, Wuhan, China
| | - Qing Yue
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Xianxuan Wang
- Shantou University Medical College, Shantou, China.,Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Weijian Li
- Shantou University Medical College, Shantou, China.,Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Zhiwei Cai
- Shantou University Medical College, Shantou, China.,Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | | | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Road, Tangshan, 063000, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, 69 Dongxia North Road, Shantou, 515000, China
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Feng X, Yao Y, Wu L, Cheng C, Tang Q, Xu S. Triglyceride-Glucose Index and the Risk of Stroke: A Systematic Review and Dose-Response Meta-Analysis. Horm Metab Res 2022; 54:175-186. [PMID: 35276743 DOI: 10.1055/a-1766-0202] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Insulin resistance (IR) is an independent risk factor of cardiovascular disease. Recent research has proposed a new inexpensive and reliable indicator of IR: triglyceride glucose index (TyG index). We aim to evaluate the dose-response association between the TyG index and stroke through meta-analysis. Literature published from inception until October 2021 were searched in PubMed, Embase, Cochrane Library and Web of science. Cohort studies published in English and focusing on the association between the TyG index and stroke were included in our meta-analysis. I2 statistic and Chi-square were used to assess the heterogeneity. When I2≥30% or p≤0.10, the random-effect model was used to pool the effect; otherwise, we chose the fixed-effect model. Eleven cohort studies, including 5 721 077 subjects and 95 490 stroke patients, were included in our study. After pooling the effect adjusted by multiple confounders, we found that compared with the lowest baseline TyG index group, the highest one was independently associated with increased stroke risk (RR: 1.27; 95% CI, 1.24 to 1.29; I2=6%). Dose-response meta-analysis showed that the association between the two variables had a non-linear trend (p-nonlinearity<0.0001; p-heterogeneity=0.28). Subgroup analysis showed that the risk of ischemic stroke was positively correlated with TyG index (RR: 1.48; 95% CI, 1.34 to 1.62; I2=15%), while we did not observe this correlation in hemorrhagic stroke patients. In patients with type 2 diabetes and acute coronary syndrome, the TyG index was linearly correlated with incident strokes. In conclusion, elevated TyG index is the independent risk factor for incident strokes (especially ischemic stroke).
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Affiliation(s)
- Xiao Feng
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Yao
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
| | - Lingshan Wu
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Cheng
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
| | - Qiaoqiao Tang
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
| | - Shabei Xu
- Department of Neurology, Huazhong University of Science and Technology, Wuhan, China
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11
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Li D, Long Y, Yu S, Shi A, Wan J, Wen J, Li X, Liu S, Zhang Y, Li N, Zheng C, Yang M, Shen L. Research Advances in Cardio-Cerebrovascular Diseases of Ligusticum chuanxiong Hort. Front Pharmacol 2022; 12:832673. [PMID: 35173614 PMCID: PMC8841966 DOI: 10.3389/fphar.2021.832673] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 12/28/2021] [Indexed: 12/22/2022] Open
Abstract
Cardio-cerebrovascular diseases (CVDs) are a serious threat to human health and account for 31% of global mortality. Ligusticum chuanxiong Hort. (CX) is derived from umbellifer plants. Its rhizome, leaves, and fibrous roots are similar in composition but have different contents. It has been used in Japanese, Korean, and other traditional medicine for over 2000 years. Currently, it is mostly cultivated and has high safety and low side effects. Due to the lack of a systematic summary of the efficacy of CX in the treatment of CVDs, this article describes the material basis, molecular mechanism, and clinical efficacy of CX, as well as its combined application in the treatment of CVDs, and has been summarized from the perspective of safety. In particular, the pharmacological effect of CX in the treatment of CVDs is highlighted from the point of view of its mechanism, and the complex mechanism network has been determined to improve the understanding of CX's multi-link and multi-target therapeutic effects, including anti-inflammatory, antioxidant, and endothelial cells. This article offers a new and modern perspective on the impact of CX on CVDs.
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Affiliation(s)
- Dan Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yu Long
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Shuang Yu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ai Shi
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jinyan Wan
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jing Wen
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaoqiu Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Songyu Liu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yulu Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Nan Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chuan Zheng
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ming Yang
- Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - Lin Shen
- Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
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12
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Li H, Qian F, Zuo Y, Yuan J, Chen S, Wu S, Wang A. U-Shaped Relationship of High-Density Lipoprotein Cholesterol and Incidence of Total, Ischemic and Hemorrhagic Stroke: A Prospective Cohort Study. Stroke 2022; 53:1624-1632. [PMID: 35086360 DOI: 10.1161/strokeaha.121.034393] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND We aimed to investigate the association between serially measured HDL-C (high-density lipoprotein cholesterol) levels and stroke risk in a prospective cohort study. METHODS We included 96 258 individuals (79.6% men, mean age 51.5 years) without a history of stroke, myocardial infarction, or cancer at baseline from the Kailuan Study, with repeated measurements of HDL-C in 2006, 2008, 2010, 2012, 2014, and 2016. Cumulatively, averaged HDL-C concentrations were calculated using all available HDL-C measurements before incidence stroke or end of follow-up (December 31, 2017). Incident stroke cases were confirmed by review of medical records and further subclassified into ischemic or hemorrhagic stroke. Cox proportional hazards regression and restricted cubic splines were used to examine these associations. RESULTS During a median follow-up of 10.7 years, 5012 incident stroke cases occurred. Restricted cubic splines analysis suggested a U-shaped association between concentrations of cumulatively averaged HDL-C and risk of stroke (Pnonlinearity <0.001), with the nadir of risk at 1.29 mmol/L. After adjustment for cardiovascular risk factors, individuals with cumulatively averaged HDL-C ≤1.06 mmol/L or ≥2.05 mmol/L had hazard ratios for total stroke of 1.31 (95% CI, 1.15-1.49) and 1.85 (1.63-2.09) compared with those with HDL-C of 1.26 to 1.39 mmol/L. Corresponding hazard ratios were 1.29 (1.11-1.48) and 1.84 (1.60-2.11) for ischemic stroke and 1.54 (1.12-2.12) and 2.29 (1.73-3.04) for hemorrhagic stroke, respectively. CONCLUSIONS Both low and high cumulatively averaged HDL-C were associated with an increased risk of ischemic and hemorrhagic strokes.
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Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, China (H.L.).,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China (H.L.).,Beijing Laboratory for Cardiovascular Precision Medicine, China (H.L.)
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (F.Q.)
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.Z.)
| | - Jinhuan Yuan
- Department of Epidemiology and Health Statistics, School of Public Health (J.Y.), North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases (A.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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13
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Cai X, Hu J, Zhu Q, Wang M, Liu S, Dang Y, Hong J, Li N. Relationship of the metabolic score for insulin resistance and the risk of stroke in patients with hypertension: A cohort study. Front Endocrinol (Lausanne) 2022; 13:1049211. [PMID: 36545329 PMCID: PMC9760826 DOI: 10.3389/fendo.2022.1049211] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/17/2022] [Indexed: 12/07/2022] Open
Abstract
BACKGROUND The current status of the dose-response relationship between the metabolic score for insulin resistance (METS-IR) and new-onset stroke in hypertensive patients and its subtypes is unclear. This study aimed to determine the association between METS-IR and incident stroke and its subtypes within a cohort of Chinese hypertensive patients. METHODS A total of 14032 hospitalized patients with hypertension from January 1, 2010, to December 31, 2021, were included in this retrospective cohort study. Cox models and restricted cubic splines were applied to determine the association between METS-IR and the risk of stroke. RESULTS During a median follow-up of 4.80 years, 1067 incident stroke cases occurred. Patients in the highest quartile group of METS-IR levels exhibited a higher risk of stroke (HR, 1.80; 95% CI, 1.50-2.17) and ischemic stroke (HR, 1.96; 95% CI, 1.60-2.42) than those in the lowest quartile group. However, no significant associations were observed between METS-IR and the risk of hemorrhagic stroke. Restricted cubic spline analysis suggested a nearly J-shaped association between METS-IR and risk of stroke and ischemic stroke (P for nonlinearity < 0.001). METS-IR did produce a significant improvement in the C statistic when added to the basic model (from 0.637 to 0.664, P < 0.001). Notably, the addition of METS-IR to the basic model resulted in a significant improvement in predicting incident total stroke and ischemic stroke. CONCLUSIONS This cohort study suggests a relationship between METS-IR and the risk of stroke and ischemic stroke. Further studies are required to elucidate the underlying mechanisms.
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14
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Effect of Perioperative Lipid Status on Clinical Outcomes after Cardiac Surgery. Cells 2021; 10:cells10102717. [PMID: 34685697 PMCID: PMC8534806 DOI: 10.3390/cells10102717] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/04/2021] [Accepted: 10/09/2021] [Indexed: 11/17/2022] Open
Abstract
Patients undergoing cardiac surgery are at increased cardiovascular risk, which includes altered lipid status. However, data on the effect of cardiac surgery and cardiopulmonary bypass (CPB) on plasma levels of key lipids are scarce. We investigated potential effects of CPB on plasma lipid levels and associations with early postoperative clinical outcomes. This is a prospective bio-bank study of patients undergoing elective cardiac surgery at our center January to December 2019. The follow-up period was 1 year after surgery. Blood sampling was performed before induction of general anesthesia, upon weaning from cardiopulmonary bypass (CPB), and on the first day after surgery. Clinical end points included the incidence of postoperative stroke, myocardial infarction, and death of any cause at 30 days after surgery as well as 1-year all-cause mortality. A total of 192 cardiac surgery patients (75% male, median age 67.0 years (interquartile range 60.0-73.0), median BMI 26.1 kg/m2 (23.7-30.4)) were included. A significant intraoperative decrease in plasma levels compared with preoperative levels (all p < 0.0001) was observed for total cholesterol (TC) (Cliff's delta d: 0.75 (0.68-0.82; 95% CI)), LDL-Cholesterol (LDL-C) (d: 0.66 (0.57-0.73)) and HDL-Cholesterol (HDL-C) (d: 0.72 (0.64-0.79)). At 24h after surgery, the plasma levels of LDL-C (d: 0.73 (0.650.79)) and TC (d: 0.77 (0.69-0.82)) continued to decrease compared to preoperative levels, while the plasma levels of HDL-C (d: 0.46 (0.36-0.55)) and TG (d: 0.40 (0.29-0.50)) rebounded, but all remained below the preoperative levels (p < 0.001). Mortality at 30 days was 1.0% (N = 2/192), and 1-year mortality was 3.8% (N = 7/186). Postoperative myocardial infarction occurred in 3.1% of patients (N = 6/192) and postoperative stroke in 5.8% (N = 11/190). Adjusting for age, sex, BMI, and statin therapy, we noted a protective effect of postoperative occurrence of stroke for pre-to-post-operative changes in TC (adjusted odds ratio (OR) 0.29 (0.07-0.90), p = 0.047), in LDL-C (aOR 0.19 (0.03-0.88), p = 0.045), and in HDL-C (aOR 0.01 (0.00-0.78), p = 0.039). No associations were observed between lipid levels and 1-year mortality. In conclusion, cardiac surgery induces a significant sudden drop in levels of key plasma lipids. This effect was pronounced during the operation, and levels remained significantly lowered at 24 h after surgery. The intraoperative drops in LDL-C, TC, and HDL-C were associated with a protective effect against occurrence of postoperative stroke in adjusted models. We demonstrate that the changes in key plasma lipid levels during surgery are strongly correlated, which makes attributing the impact of each lipid to the clinical end points, such as postoperative stroke, a challenging task. Large-scale analyses should investigate additional clinical outcome measures.
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