1
|
Cao YX, Ge QW, Zhuang X. [A comprehensive analysis on economic evaluation of HIV vaccination strategies]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:155-161. [PMID: 38228539 DOI: 10.3760/cma.j.cn112338-20230508-00285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To summarize the progress in research of economic evaluation of HIV vaccination strategies in the world, and provide reference for future decision-making and research on HIV vaccination. Methods: The key words used for literature retrieval were "HIV/AIDS", and "vaccine/vaccination" and "economic evaluation/cost-effectiveness analysis/cost-utility analysis/cost-benefit analysis/HTA". Literatures about the economic evaluation of HIV vaccination strategies published as of July 31, 2022, were retrieved from Wanfang Data (Wanfang), China Hospital Knowledge Database (CHKD), and PubMed databases. The quality of the articles was evaluated and analyzed comprehensively. Results: A total of 17 study articles with good quality were included. Results from the comprehensive analysis showed that HIV vaccination is a cost-saving or cost-effective strategy for key populations or the whole population. HIV vaccination could effectively reduce new infections and improve the quality of life of population. Factors, such as vaccine efficiency, coverage rate, price, and risk behavior change after vaccination, would affect the vaccination effect in different targeted populations. Conclusions: There were limited high-quality research data about the economic evaluation of HIV vaccination strategies. It is necessary to conduct in-depth research based on real-world evidence.
Collapse
Affiliation(s)
- Y X Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - Q W Ge
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - X Zhuang
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| |
Collapse
|
2
|
Cao YX, Dou KF, Li JJ. Remnant cholesterol as a lipid-lowering target may have a long way to go. Eur Heart J 2023; 44:3481-3482. [PMID: 37322602 DOI: 10.1093/eurheartj/ehad256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
Affiliation(s)
- Ye-Xuan Cao
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
- Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Ke-Fei Dou
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Jian-Jun Li
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| |
Collapse
|
3
|
Cao YX, Liu HH, Li S, Zhang M, Guo YL, Wu NQ, Zhu CG, Dong Q, Qian J, Li JJ. Circulating Total Bilirubin and Long-Term Prognosis in Patients With Previous Myocardial Infarction. JACC Asia 2023; 3:242-251. [PMID: 37181387 PMCID: PMC10167506 DOI: 10.1016/j.jacasi.2022.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/19/2022] [Accepted: 11/07/2022] [Indexed: 05/16/2023]
Abstract
Background Although experimental studies have demonstrated the protective role of total bilirubin (TBil) in cardiovascular diseases, several previous clinical observations are controversial. More importantly, no data are currently available regarding the relation of TBil to major adverse cardiovascular events (MACE) in patients with previous myocardial infarction (MI). Objectives This study sought to explore the association between TBil and long-term clinical outcomes in patients with previous MI. Methods A total of 3,809 patients who are post-MI were consecutively enrolled in this prospective study. Cox regression models using HRs and CIs were applied to investigate associations between the TBil concentration category (group 1: bottom to median tertiles within the reference range; group 2: top tertile; group 3: above reference range) and main outcome (recurrent MACE) as well as secondary outcomes (hard endpoints and all-cause mortality). Results During the 4-year follow-up period, 440 patients (11.6%) suffered from recurrent MACE. Kaplan-Meier survival analysis showed the lowest MACE incidence in group 2 (P < 0.001). When compared with the reference group (group 1) in multivariable analysis, a J-shaped association was apparent for MACE, with decreased risk in group 2 (HR: 0.76; 95% CI: 0.59-0.96) and elevated risk in group 3 (HR: 1.29; 95% CI: 1.03-1.61). Similar associations were identified regarding hard endpoints and all-cause mortality. Moreover, TBil demonstrated incremental discriminatory strength when added to the predictive model. Conclusions In this prospective cohort study with long-term follow-up, higher TBil levels within the physiological range reduced the incidence of long-term cardiovascular events in patients who are post-MI.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hui-Hui Liu
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sha Li
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng Zhang
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Dong
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Qian
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- Cardio-Metabolic Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
4
|
Wei SS, Gao Q, Cao YX, Han LY, Du J, Li L, Li X. [A meta-analysis of risk factors for multidrug-resistant tuberculosis in China]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:1221-1230. [PMID: 36480854 DOI: 10.3760/cma.j.cn112147-20220501-00366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: To explore the main risk factors of multidrug-resistant tuberculosis (MDR-TB) in China and to provide evidence-based evidence for MDR-TB preventon and control. Methods: All relevant literatures were searched in thedatabases, such as Pubmed, Web of Science and CNKI, Wanfang, VIP and SinoMed from 2000 to 2021. Quality evaluation and data extraction were carried out, and then a meta-analysis was performed using Stata 16.0 software. Results: A total of 59 literatures (36 cross-sectional and 23 case-control) including 75 793 participants were included in this study, and meta-analysis results showed age (OR=1.27, 95%CI: 1.05-1.54), education level (OR=1.29, 95%CI: 1.02-1.65), positive sputum smear (OR=2.56, 95%CI: 1.09-6.04), pulmonary cavity (OR=1.99, 95%CI: 1.57-2.52), course of disease (OR=4.25, 95%CI: 1.95-9.30), history of tuberculosis treatment (OR=6.42,95%CI:5.40-7.63), treatment interruption (OR=2.81, 95%CI: 1.50-5.29), irregular medication (OR=5.02, 95%CI: 2.95-8.54), adverse drug reactions (OR=4.27, 95%CI: 2.22-8.19), combined chronic obstructive pulmonary disease (COPD) (OR=2.21, 95%CI: 1.45-3.37), tuberculosis exposure history (OR=1.99, 95%CI: 1.36-2.91), smoking history (OR=1.35, 95%CI: 1.09-1.66) and floating population (OR=1.60, 95%CI: 1.04-2.44) were associated with the occurrence of MDR-TB. Conclusions: The high risk groups were farmer, low education level, pulmonary cavity, long course of disease, history of tuberculosis treatment, treatment interruption, irregular medication, adverse drug reaction, co-COPD, contact history of tuberculosis, smoking history, rural residence, and floating population. We should pay attention to high-risk groups, strengthen management and take effective measures such as early screening, knowledge education on tuberculosis, standardized and personalized treatment and whole-course supervision.
Collapse
Affiliation(s)
- S S Wei
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Q Gao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Y X Cao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - L Y Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - J Du
- Clinical Center on TB, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - L Li
- Clinical Center on TB, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| |
Collapse
|
5
|
Cao YX, Ge QW, Li M, Qi ZG, Gu YJ, Zheng HY, Qin G, Huang H, Duan XY, Zhuang X. [Evaluation of the effect of comprehensive prevention and management of diabetes mellitus of two cross-sectional surveys based on community population]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:614-618. [PMID: 35644976 DOI: 10.3760/cma.j.cn112150-20210906-00872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
To investigate the prevalence of diabetes mellitus (DM) among residents in Chongchuan district, Nantong city in 2012 and 2018, and evaluate the effectiveness of community comprehensive management of DM. Based on the data of 17 780 and 13 382 residents in the cross-sectional surveys of the " National Demonstration Area for Comprehensive Prevention and Control of Chronic Diseases " project in Chongchuan District of Nantong City, Jiangsu Province in 2012 and 2018, 4 583 and 3 996 DM-related information were obtained. The population of Jiangsu Province in 2012 and 2018 was used as the reference for standardization. The rates of prevalence and management (including awareness, treatment, treatment of patients who knew their diabetic situation, control and control of patients under treatment) of DM in the two surveys were compared using chi-square test. The results showed that in 2012 and 2018, the prevalence rates of DM were 12.0% and 15.7% (χ²=24.25, P<0.05), and the standardized rates were 10.1% and 10.8% (χ²=1.05, P=0.306). The incidence rates were 5.7% and 2.3%, respectively (χ²=55.60, P<0.05). The standardized prevalence rates in the two surveys were 9.7% and 11.6% for males (χ²=3.66, P=0.056) and 10.5% and 9.9% for females (χ²=0.50, P=0.481), 7.2% and 6.5% (χ²=0.85, P=0.357) for people aged 18-59 years old and 20.6% and 21.9% (χ²=0.91, P=0.339) for people aged 60 years and over, respectively. The standardized rates of awareness, treatment, treatment of patients who knew their diabetic situation, control, and control of patients under treatment in 2018 were 84.4%, 80.3%, 95.2%, 58.4%, and 70.2%, respectively, higher than 47.2%, 23.4%, 44.8%, 30.4% and 59.4% in 2012 (χ²=183.33, χ²=380.65, χ²=282.99, χ²=93.24, χ²=6.22, all P<0.05). Among men, the standardized rates of awareness, treatment, treatment of patients who knew their diabetic situation, and control in 2018 were 85.8%, 78.8%, 91.8% and 62.7%, higher than 50.5%, 37.5%, 72.3% and 32.6% in 2012 (χ²=78.40, χ²=96.17, χ²=27.55, χ²=48.96, all P<0.05). Similarly, the standardized management rates in 2018 were 83.0%, 81.7%, 98.5%, 54.1% and 65.1%, higher than 44.0%, 10.0%, 18.3%, 28.2% and 48.8% in 2012 among women (χ²=105.52, χ²=326.36, χ²=317.22, χ²=43.34, χ²=3.87, all P<0.05). The standardized rates of awareness, treatment, treatment of patients who knew their diabetic situation, and control of people aged 18-59 and 60 years and over were 82.9%, 79.7%, 96.1%, 55.0% and 88.0%, 81.8%, 93.0% and 67.2%, higher than 42.6%, 19.8%, 42.2%, 27.5% and 63.9%, 36.8%, 53.9%, 40.8% in 2012 (χ²=44.51, χ²=102.17, χ²=57.78, χ²=21.65, all P<0.05; χ²=71.18, χ²=181.55, χ²=146.26, χ²=59.23, all P<0.05). The comprehensive prevention and control system of chronic diseases, which comprehensively covered the life of community residents, had good management effect on DM, and effectively promoted health education and health promotion.
Collapse
Affiliation(s)
- Y X Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - Q W Ge
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - M Li
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - Z G Qi
- Department of Chronic Disease Prevention and Control, Chongchuan District Center for Disease Control and Prevention of Nantong City, Nantong 226001, China
| | - Y J Gu
- Department of Endocrinology, Affiliated Hospital of Nantong University, Nantong 226006, China
| | - H Y Zheng
- Department of Chronic Disease Prevention and Control, Chongchuan District Center for Disease Control and Prevention of Nantong City, Nantong 226001, China
| | - G Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - H Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - X Y Duan
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| | - X Zhuang
- Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China
| |
Collapse
|
6
|
Cao YX, Li S, Liu HH, Zhang M, Guo YL, Wu NQ, Zhu CG, Dong Q, Sun J, Dou KF, Li JJ. Prognostic Value of N-Terminal Pro-B-Type Natriuretic Peptide and High-Sensitivity C-Reactive Protein in Patients With Previous Myocardial Infarction. Front Cardiovasc Med 2022; 9:797297. [PMID: 35282356 PMCID: PMC8907519 DOI: 10.3389/fcvm.2022.797297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background Patients with previous myocardial infarction (MI) have a poor prognosis and stratification for recurrent major adverse cardiovascular events (MACE) among these patients is of considerable interest. N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity C-reactive protein (hs-CRP) are considered to be potential cardiovascular risk factors, but less is known about their prognostic importance in post-MI patients. This study aimed to evaluate the prognostic value of NT-proBNP and hs-CRP alone or together in patients who reported a prior MI. Methods In this prospective study, we consecutively enrolled 3,306 post-MI patients to assess the recurrent MACE. The predictive values of NT-proBNP and hs-CRP alone and together were assessed by multivariable Cox regression using hazard ratios (HR) and 95% confidence intervals (CI). Results During the 4-year follow-up period, 335 patients developed recurrent MACE. Multivariate Cox regression analysis showed a significant correlation between NT-proBNP levels and MACE (HR: 2.99, 95%CI: 2.06–4.36, p < 0.001), hard endpoints (HR: 5.44, 95%CI: 2.99–9.90, p < 0.001), cardiac mortality (HR: 5.92, 95%CI: 2.34–14.96, p < 0.001) and all-cause mortality (HR: 5.03, 95%CI: 2.51–10.09, p < 0.001). However, hs-CRP was not an independent predictor after adjusting for NT-proBNP. When patients were divided into six groups by using tertiles values of NT-proBNP and median values of hsCRP, patients with high NT-proBNP/hs-CRP values were 3.27 times more likely to experience MACE than patients with low NT-proBNP/hs-CRP values. The addition of NT-proBNP and hs-CRP to a prognostic model revealed a significant improvement in C-statistic, net reclassification, and integrated discrimination. Conclusions Increased NT-proBNP levels were associated with long-term worse outcomes and the combination of NT-proBNP and hs-CRP has an incremental value in the further risk stratification of post-MI patients.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University of Medical Science, Beijing, China
| | - Sha Li
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng Zhang
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Dong
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Sun
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ke-Fei Dou
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Ke-Fei Dou
| | - Jian-Jun Li
- Cardiovascular Metabolism Center, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Jian-Jun Li ; orcid.org/0000-0003-2536-4364
| |
Collapse
|
7
|
Peng J, Liu MM, Jin JL, Cao YX, Guo YL, Wu NQ, Zhu CG, Dong Q, Sun J, Xu RX, Li JJ. NAFLD fibrosis score is correlated with PCSK9 and improves outcome prediction of PCSK9 in patients with chest pain: a cohort study. Lipids Health Dis 2022; 21:3. [PMID: 34996457 PMCID: PMC8742334 DOI: 10.1186/s12944-021-01610-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/05/2021] [Indexed: 11/27/2022] Open
Abstract
Background The risk of liver fibrosis in non-alcoholic fatty liver disease (NAFLD) can be easily evaluated by noninvasive scoring systems, of which the NAFLD fibrosis score (NFS) is the most commonly used. Proprotein convertase subtilisin/kexin type 9 (PCSK9), a new predictor of cardiovascular events, has been reported to be associated with cardiovascular outcomes and NAFLD. However, the relationship of NFS with PCSK9 and their prognostic abilities in cardiovascular risks are unknown. Methods A total of 2008 hospitalized subjects who had chest pain without lipid-lowering therapy were consecutively included. Baseline clinical data were collected, and the NFS was calculated. The circulating PCSK9 concentration was determined by enzyme immunoassay. The major adverse cardiovascular event (MACE) occurrences were recorded in the follow-up period. Associations of PCSK9 concentration with NFS were examined. All of the participants were categorized into three groups according to NFS levels and were further stratified by PCSK9 tertiles to evaluate the MACEs. Results 158 (7.87%) MACEs were observed during a mean of 3.2 years of follow-up. NFS levels were independently related to higher PCSK9 levels according to multivariable linear regression analysis. Furthermore, elevated PCSK9 and NFS concentrations were respectively associated with increased MACE incidence in multivariable Cox regression models. When combining NFS status with PCSK9 tertiles as a stratifying factor, patients with intermediate-high NFS and high PCSK9 levels had higher risks of events than those with low NFS and low PCSK9 levels. Conclusions This study revealed for the first time that NFS is positively related to PCSK9 and that the combination of NFS and PCSK9 greatly increased the risk of MACEs in patients with chest pain, providing a potential link between NFS and PCSK9 for predicting cardiovascular events. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01610-w.
Collapse
Affiliation(s)
- Jia Peng
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ming-Ming Liu
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing-Lu Jin
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ye-Xuan Cao
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Yuan-Lin Guo
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Na-Qiong Wu
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Cheng-Gang Zhu
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Qian Dong
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing Sun
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Rui-Xia Xu
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jian-Jun Li
- Cardiometabolic medicine center, State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| |
Collapse
|
8
|
Zhang HW, Jin JL, Cao YX, Guo YL, Wu NQ, Zhu CG, Xu RX, Dong Q, Li JJ. Association of diabetes mellitus with clinical outcomes in patients with different coronary artery stenosis. Cardiovasc Diabetol 2021; 20:214. [PMID: 34688289 PMCID: PMC8542326 DOI: 10.1186/s12933-021-01403-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/15/2021] [Indexed: 01/09/2023] Open
Abstract
Background It has been demonstrated that patients with type 2 diabetes mellitus (DM) is associated with increased cardiovascular risk. However, little is known regarding the long-term prognosis in diabetic patients who experience mild-to-intermediate coronary artery stenosis (CAS). This study was to assess the clinical outcomes of diabetic patients with different severity of CAS. Methods We consecutively enrolled 10,940 patients hospitalized due to angina-like chest pain and followed up for major adverse cardiovascular events (MACEs) covering cardiac death, myocardial infarction, ischemic stroke, unplanned coronary revascularization and angina-related hospitalization. According to coronary angiography, patients were divided into non-obstructive CAS (NOCAS, < 50% stenosis), intermediate CAS (ICAS, 50–69% stenosis), and severe CAS (SCAS, 70–100% stenosis) subgroups, and were further categorized into six groups as NOCAS with DM and non-DM, ICAS with DM and non-DM, and SCAS with DM and non-DM. Results During a median follow-up of 40 months, 1,017 (11.1%) MACEs occurred. In patients with ICAS or SCAS, the incidence of events was higher when patients coexisted with DM (p < 0.05, respectively). In subgroup analyses, patients with ICAS and DM, SCAS and non-DM, SCAS and DM had increased risk of events [adjusted hazard ratio (HR): 1.709, 95% confidence interval (CI) 1.106–2.641, p = 0.016; HR: 1.911, 95% CI 1.460–2.501, p < 0.001; HR: 2.053, 95% CI 1.514–2.782, p < 0.001] compared to ones with NOCAS and non-DM. Besides, the Kaplan–Meier curves indicated the highest risk of MACEs in patients with SCAS and DM than others (p < 0.001). Conclusions Diabetic patients with ICAS had the worse outcome, which was comparable to patients with SCAS alone.
Collapse
Affiliation(s)
- Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| |
Collapse
|
9
|
Liu HH, Cao YX, Jin JL, Guo YL, Zhu CG, Wu NQ, Gao Y, Xu RX, Dong Q, Zheng MH, Li JJ. Metabolic-associated fatty liver disease and major adverse cardiac events in patients with chronic coronary syndrome: a matched case-control study. Hepatol Int 2021; 15:1337-1346. [PMID: 34626331 DOI: 10.1007/s12072-021-10252-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 08/25/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND AIMS A consensus of experts suggests that nonalcoholic fatty liver disease (NAFLD) does not appropriately reflect current knowledge and metabolic-associated fatty liver disease (MAFLD) is supposed to be a more suitable overarching concept. However, the association of MAFLD with cardiovascular outcomes in patients with coronary artery disease has not been examined yet. Thus, this study aimed to assess the impact of MAFLD on major adverse cardiac events (MACEs) in patients with chronic coronary syndrome (CCS). METHODS This study included 3306 patients with CCS who were diagnosed with MAFLD. Controls without MAFLD were matched (1:1) to cases by age and gender. All participants were followed up for the occurrence of MACEs. Finally, the association between MAFLD and the risk of MACEs was assessed. RESULTS During an average of 55.09 ± 19.92 months follow-up, 376 and 248 MACEs were observed in MAFLD and control groups, respectively. When compared with controls, Kaplan-Meier analysis showed that patients with MAFLD had significantly lower event-free survival rate and multivariate Cox regression analysis further revealed that MAFLD group had significantly increased MACEs risk (both p < 0.05). Stratification analysis suggested that patients with MAFLD overlapped with NAFLD or MAFLD-only had 1.33-fold and 2.32-fold higher risk of MACEs respectively compared with controls (both p < 0.05). CONCLUSION This study firstly showed that MAFLD was significantly associated with the risk of MACEs in patients with CCS. Moreover, this relationship remained unchanged irrespective of whether satisfying the NAFLD criteria, providing novel evidence for the good utility of MAFLD criteria in clinical practice.
Collapse
Affiliation(s)
- Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China
| | - Ming-Hua Zheng
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, 100037, People's Republic of China.
| |
Collapse
|
10
|
Xie QE, Wang MY, Cao ZP, Du X, Ji DM, Liang D, Cao YX, Liu YJ. Melatonin protects against excessive autophagy-induced mitochondrial and ovarian reserve function deficiency though ERK signaling pathway in Chinese hamster ovary (CHO) cells. Mitochondrion 2021; 61:44-53. [PMID: 34571250 DOI: 10.1016/j.mito.2021.09.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 02/07/2023]
Abstract
Excessive autophagy-induced follicular atresia of ovarian granulosa cells might be one of the pathogenesis of Premature Ovarian Insufficiency (POI), and melatonin (MT) exerted many beneficial effects on mitochondria. However, there was little report regarding the beneficial effects of MT on excessive autophagy-induced mitochondrial and ovarian reserve function deficiency, and the mechanisms have not been clearly identified. Autophagy played a protective role in cells survival, however, high level of autophagy could lead to cell death. In this report, firstly, Chinese hamster ovary cell damage model stably expressing EGFP-LC3 was established. Next, we systematically investigated the protective effects of MT on mitochondrial and ovarian reserve function and molecular mechanisms using this cell damage model. Our results revealed that 10-9 M MT not only protected against the decline of anti-mullerian hormone (AMH) expression induced by excessive autophagy, but also rescued excessive autophagy-induced impairment of mitochondrial expression and mitochondrial membrane potential. Furthermore, MT protected against excessive autophagy-induced decrease of nucleus-encoded proteins including SDHA and mitofilin, and mitochondrial dynamic-related proteins including OPA1, MFN2, and DRP1. MT also decreased mitochondrial oxidative stress, increased antioxidant enzyme superoxide dismutase 2 (SOD2) expression and ameliorated the G2/M cell cycle arrest induced by excessive autophagy. Finally, MT inhibited excessive autophagy-induced activation of extracellular signal regulated kinase (ERK) signaling pathway. In conclusion, our study showed that MT rescued impairment of mitochondrial and ovarian reserve function, and production of mitochondrial ROS and cell cycle arrest induced by excessive autophagy through down-regulated ERK pathway, implying the potential therapeutic drug target for POI.
Collapse
Affiliation(s)
- Q E Xie
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; NHC Key Laboratory of study on abnormal gametes and reproductive tract, Anhui Medical University, Hefei 230022, PR China; Department of Histology and Embryology, Anhui Medical University, Hefei 230032, Anhui, PR China
| | - M Y Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; NHC Key Laboratory of study on abnormal gametes and reproductive tract, Anhui Medical University, Hefei 230022, PR China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, PR China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, PR China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, PR China; Anhui Provincial Institute of Translational Medicine, No 81 Meishan Road, Hefei 230032, Anhui, PR China
| | - Z P Cao
- The Third People's Hospital of Hefei, The Third Clinical Teaching Hospital of Anhui Medical University, Hefei 230022, Anhui, PR China
| | - X Du
- 901th hospital of PLA Joint Logistic Support Force, No 424 West Changjiang Road, Heifei 230031, Anhui, PR China
| | - D M Ji
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, PR China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, PR China; Anhui Provincial Institute of Translational Medicine, No 81 Meishan Road, Hefei 230032, Anhui, PR China
| | - D Liang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; NHC Key Laboratory of study on abnormal gametes and reproductive tract, Anhui Medical University, Hefei 230022, PR China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, PR China.
| | - Y X Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; NHC Key Laboratory of study on abnormal gametes and reproductive tract, Anhui Medical University, Hefei 230022, PR China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, PR China.
| | - Y J Liu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PR China; NHC Key Laboratory of study on abnormal gametes and reproductive tract, Anhui Medical University, Hefei 230022, PR China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, PR China.
| |
Collapse
|
11
|
Liu HH, Li S, Cao YX, Guo YL, Zhu CG, Wu NQ, Li JJ. Association of triglyceride-rich lipoprotein-cholesterol with recurrent cardiovascular events in statin-treated patients according to different inflammatory status. Atherosclerosis 2021; 330:29-35. [PMID: 34225103 DOI: 10.1016/j.atherosclerosis.2021.06.907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/13/2021] [Accepted: 06/23/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS The association of triglyceride-rich lipoprotein-cholesterol (TRL-C) with recurrent cardiovascular events (RCVEs) has not been studied. Moreover, whether inflammation can affect TRL-C-associated cardiovascular risk is unknown. This study sought to examine the association between TRL-C and RCVEs, and whether this relationship is modulated by systemic inflammation in statin-treated patients with coronary artery disease (CAD) and nearly normal triglyceride. METHODS In this study, 6723 CAD patients were consecutively enrolled, following a first CVE with triglyceride <2.3 mmol/L. Baseline lipid profile and high-sensitivity C-reactive protein (hsCRP) levels were determined. All patients were searched for RCVEs. The risk of RCVEs was assessed across quartiles (Q) of baseline TRL-C and further stratified by the median of hsCRP. RESULTS Over a mean follow-up of 58.91 ± 17.79 months, 538 RCVEs were recorded. After adjustment for potential confounders, Q4 of TRL-C was significantly associated with the risk of RCVEs, which remained unchanged after hsCRP stratification. When subjects were grouped according to both TRL-C and hsCRP levels, patients with Q4 of TRL-C and hsCRP had the highest increase of the risk of RCVEs compared with the reference group (TRL-C Q1-3 and hsCRP Q1-3; HR, 1.90; 95%CI: 1.27-2.87). Furthermore, adding TRL-C to the original predicting model led to a slight but significant improvement. CONCLUSIONS The present analysis firstly showed that elevated TRL-C was associated with an increased RCVEs risk in statin-treated patients with CAD independent of systemic inflammation, suggesting that it might be a useful marker for risk stratification and a treatment target in this patient population.
Collapse
Affiliation(s)
- Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Sha Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China.
| |
Collapse
|
12
|
Cao YX, Zhang M, Zhang HW, Jin JL, Liu HH, Zhang Y, Guo YL, Wu NQ, Zhu CG, Xu RX, Gao Y, Dong Q, Sun J, Li JJ. Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study. Liver Int 2021; 41:1294-1304. [PMID: 33389804 DOI: 10.1111/liv.14780] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/24/2020] [Accepted: 12/21/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort. METHODS A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis-4 (FIB-4) score, non-alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all-cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS During a mean follow-up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan-Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable-adjusted HRs (95% CIs) of the highest group of FIB-4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32-2.33), 2.37 (1.70-3.33), 2.44 (1.61-3.73), 1.58 (1.16-2.14) and 1.27 (1.03-1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all-cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C-statistic for CVOs. CONCLUSIONS The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.,Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University of Medical Science, Beijing, China
| | - Meng Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
13
|
Liu HH, Cao YX, Jin JL, Hua Q, Li YF, Guo YL, Zhu CG, Wu NQ, Dong Q, Li JJ. Lipoprotein (a), hypertension, and cardiovascular outcomes: a prospective study of patients with stable coronary artery disease. Hypertens Res 2021; 44:1158-1167. [PMID: 34035483 DOI: 10.1038/s41440-021-00668-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 04/04/2021] [Indexed: 12/18/2022]
Abstract
Although emerging data suggest that circulating lipoprotein (a) [Lp (a)] could predict cardiovascular events (CVEs) in patients with cardiovascular disease, no study is currently available regarding the prognostic linkage of Lp (a) and hypertension in patients with coronary artery disease (CAD). This study sought to evaluate the association of Lp (a), hypertension and cardiovascular outcomes in patients with stable CAD. A total of 8668 patients with stable CAD were consecutively enrolled. Baseline Lp (a) concentrations were measured. All subjects were categorized according to Lp (a) levels of <10 (low), 10-30 (medium) and ≥30 mg/dL (high) and were further stratified by hypertension status. They were regularly followed-up for the occurrence of cardiovascular death, nonfatal myocardial infarction, and stroke. Over an average of 54.81 ± 18.60 months of follow-up, 584 (6.7%) CVEs occurred. Kaplan-Meier and multivariate Cox regression analyses showed that elevated Lp (a) levels had a significant association with CVEs in hypertensive patients, regardless of the control status of blood pressure, but not in normotensive subjects. Moreover, when analyzed by subgroups according to both Lp (a) category and hypertension status, the risk of CVEs was only significantly elevated in the high Lp (a) plus hypertension group compared with the reference group with low Lp (a) levels and normotension (hazard ratio: 1.80, 95% confidence interval: 1.11-2.91). Elevated Lp (a) was associated with an increased risk of CVEs in stable CAD patients with hypertension. Moreover, the coexistence of high Lp (a) concentrations and hypertension greatly worsened the clinical prognosis in patients with CAD, which may suggest a prognostic correlation between Lp (a) and hypertension.
Collapse
Affiliation(s)
- Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Hua
- Department of Cardiology, XuanWu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| |
Collapse
|
14
|
Liu HH, Cao YX, Jin JL, Guo YL, Zhu CG, Wu NQ, Gao Y, Zhang Y, Xu RX, Dong Q, Li JJ. Prognostic value of NT-proBNP in patients with chronic coronary syndrome and normal left ventricular systolic function according to glucose status: a prospective cohort study. Cardiovasc Diabetol 2021; 20:84. [PMID: 33888145 PMCID: PMC8063320 DOI: 10.1186/s12933-021-01271-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/15/2021] [Indexed: 12/20/2022] Open
Abstract
Background The prognostic value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with coronary artery disease (CAD) with different glucose status has not been established. This study sought to evaluate the significance of NT-proBNP in predicting major adverse cardiovascular events (MACEs) in patients with chronic coronary syndrome (CCS) and normal left-ventricular systolic function (LVSF) according to different glucose status, especially in those with abnormal glucose metabolism. Methods
A total of 8062 patients with CCS and normal LVSF were consecutively enrolled in this prospective study. Baseline plasma NT-proBNP levels were measured. The follow-up data of all patients were collected. Kaplan-Meier and Cox regression analyses were used to assess the risk of MACEs according to NT-proBNP tertiles stratified by glucose status. Results Over an average follow-up of 59.13 ± 18.23 months, 569 patients (7.1 %) suffered from MACEs, including cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Kaplan-Meier analysis showed that high NT-proBNP levels had a significant association with MACEs in subjects with prediabetes mellitus (pre-DM) or DM, but not in patients with normoglycemia. Multivariate Cox regression analysis revealed that NT-proBNP remained an independent predictor of MACEs in patients with pre-DM [hazard ratio (HR): 2.56, 95% confidence interval (CI): 1.34–4.91] or DM (HR: 2.34, 95% CI: 1.32–4.16). Moreover, adding NT-proBNP to the original Cox model including traditional risk factors significantly increased the C-statistic by 0.035 in pre-DM and DM, respectively. Conclusions The present study indicated that NT-proBNP could well predict worse outcomes in dysglycemic patients with CCS and normal LVSF, suggesting that NT-proBNP may help with risk stratification in this population. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01271-0.
Collapse
Affiliation(s)
- Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, 100037, Beijing, China.
| |
Collapse
|
15
|
Cao YX, Li L, Zhang HW, Jin JL, Liu HH, Guo YL, Wu NQ, Zhu CG, Dong Q, Xu RX, Sun J, Li JJ. Visit-to-visit variability of lipid and cardiovascular events in patients with familial hypercholesterolemia. Ann Transl Med 2021; 9:556. [PMID: 33987254 DOI: 10.21037/atm-20-5324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Visit-to-visit variability in lipid has been suggested as a predictor of major adverse cardiovascular events (MACEs). However, no evidence exists on the prognostic value of lipid variability in patients with familial hypercholesterolemia (FH). This prospective cohort study aimed to investigate whether lipid variability affects future MACEs in patients with FH receiving standard lipid-lowering therapy. Methods A total of 254 patients with FH were consecutively enrolled and followed for MACEs. Variability in the triglyceride, total cholesterol, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C) and lipoprotein (a) [Lp(a)] were evaluated from 3 months after discharge using the standard deviation (SD), coefficient of variation (CV) and variability independent of the mean (VIM). Results During a mean follow-up of 49 months, 22 (8.7%) events occurred. Visit-to-visit variability in Lp(a) was significantly higher in the MACE group compared to the non-MACE group. In the multivariate Cox analysis, only Lp(a)-related parameters were independent predictors for MACEs. The hazard ratios and 95% confidence intervals of each 1-SD increase of SD, CV, and VIM of Lp(a) were 1.42 (1.12-1.80), 1.50 (1.11-2.02) and 1.60 (1.16-2.22), respectively. Kaplan-Meier analysis revealed that patients with higher Lp(a) variability presented lower event-free survival. The results were consistent in various subgroups. Conclusions Our study firstly suggested that Lp(a) variability was associated with MACEs in real-world patients with FH, which emphasized the importance of regular lipid monitoring in the patients with high risk.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.,Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University of Medical Science, Beijing, China
| | - Liang Li
- Department of Surgical Intensive Care Unit, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center For Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Beijing, Beijing, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
16
|
Liu MM, Peng J, Cao YX, Guo YL, Wu NQ, Zhu CG, Gao Y, Li JJ. The difference between fasting and non-fasting lipid measurements is not related to statin treatment. Ann Transl Med 2021; 9:386. [PMID: 33842607 PMCID: PMC8033327 DOI: 10.21037/atm-20-3962] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background Non-fasting blood samples are routinely used to assess plasma lipid profiles except in patients with severe hypertriglyceridemia according to the previous consensus. However, the impact of statin use on non-fasting plasma lipid measurements has not been thoroughly evaluated. Methods In this cross-sectional study, 686 patients with normal triglyceride (TG) levels, who were hospitalized due to chest pain, were enrolled. Fasting (8–12 h) and non-fasting (2–4 h after breakfast) lipid profiles were measured on the second day of admission. Patients were divided into the non-statin (n=499) group and statin treatment (n=187) group. Differences in fasting and non-fasting lipid profiles between the statin and non-statin groups were compared. Results The mean age of participants was 57±13 years, and 54.4% were male. A linear correlation was observed between fasting and non-fasting lipid profiles. Although a postprandial impact on lipid parameters was observed, the general pattern of differences between fasting and non-fasting lipids was similar in both groups. Additionally, the diff(%) [(non-fasting-fasting)/fasting ×100%] of lipid panels did not vary by statin treatment. Moreover, no effects of statin types or duration of use on non-fasting lipid profiles were identified. Conclusions The current study found fasting and non-fasting lipid panels were similar in individuals with or without statin treatment. Non-fasting lipid panels were not significantly affected by statin types or duration of use, suggesting that non-fasting lipid measurement is an acceptable test for patients receiving statin treatment.
Collapse
Affiliation(s)
- Ming-Ming Liu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jia Peng
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
17
|
Liu HH, Cao YX, Jin JL, Hua Q, Li YF, Guo YL, Zhu CG, Wu NQ, Gao RL, Li JJ. Liver Fibrosis Scoring Systems as Novel Tools for Predicting Cardiovascular Outcomes in Patients Following Elective Percutaneous Coronary Intervention. J Am Heart Assoc 2021; 10:e018869. [PMID: 33506689 PMCID: PMC7955446 DOI: 10.1161/jaha.120.018869] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Previous studies have suggested a strong association of liver fibrosis scores (LFSs) with cardiovascular outcomes in patients with different cardiovascular diseases. Nonetheless, it is basically blank regarding the prognostic significance of LFSs in patients following percutaneous coronary intervention (PCI). This study sought to examine the potential role of LFSs in predicting long‐term outcomes in a large cohort of patients with stable coronary artery disease after elective PCI. Methods and Results In this multicenter, prospective study, we consecutively enrolled 4003 patients with stable coronary artery disease undergoing PCI. Eight currently available noninvasive LFSs were assessed for each subject. All patients were followed up for the occurrence of cardiovascular events including cardiovascular death, nonfatal myocardial infarction, and stroke. During an average follow‐up of 5.0±1.6 years, 315 (7.87%) major cardiovascular events were recorded. Subjects who developed cardiovascular events were more likely to have intermediate or high LFSs, including nonalcoholic fatty liver disease fibrosis score; fibrosis‐4 score; body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score (BARD); and aspartate aminotransferase/alanine aminotransferase ratio. Furthermore, compared with subjects with low scores, those with intermediate plus high score levels had significantly increased risk of cardiovascular events (adjusted hazard ratios ranging 1.57–1.92). Moreover, the addition of non‐alcoholic fatty liver disease fibrosis score; fibrosis‐4 score; or body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score into a model with established cardiovascular risk factors significantly improved the prediction ability. Conclusions High LFSs levels might be useful for predicting adverse prognosis in patients with stable coronary artery disease following PCI, suggesting the possibility of the application of LFSs in the risk stratification before elective PCI.
Collapse
Affiliation(s)
- Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Qi Hua
- Department of Cardiology XuanWu HospitalCapital Medical University Beijing China
| | - Yan-Fang Li
- Department of Cardiology Beijing AnZhen HospitalCapital Medical University Beijing China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Run-Lin Gao
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease FuWai HospitalNational Center for Cardiovascular DiseasesNational Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| |
Collapse
|
18
|
Jin JL, Cao YX, Wu LG, You XD, Guo N, Guo YL, Wu NQ, Zhu CG, Xu RX, Liu HH, Sun J, Dong Q, Gao Y, Li JJ. Atherogenic dyslipidaemia and cardiovascular events in patients with diabetes or pre-diabetes and stable coronary artery disease: a prospective, cohort study. BMJ Open 2021; 11:e037340. [PMID: 33455923 PMCID: PMC7813370 DOI: 10.1136/bmjopen-2020-037340] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE The aim of the study was to investigate the impacts of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) dyslipidaemia on prognosis in coronary artery disease (CAD) patients with different glucose metabolism status. DESIGN An observational cohort study. SETTING/PARTICIPANTS A total of 3057 patients with stable CAD were consecutively enrolled and divided into three groups according to different glucose metabolism status. Atherogenic dyslipidaemia (AD) was defined as TG ≥1.7 mmol/L and HDL-C <1.0 mmol/L for men or <1.3 mmol/L for women. The patients were further classified into six subgroups by status of AD. All subjects were followed up for the cardiovascular events (CVEs). PRIMARY OUTCOME MEASURES The primary endpoints were cardiovascular mortality, non-fatal myocardial infarction and non-fatal stroke. RESULTS During a median follow-up of 6.1 years, 308 (10.1%) CVEs occurred. No significant difference in the occurrence of CVEs was observed between normal glucose regulation (NGR) and pre-diabetes (pre-DM) groups (HR: 1.25, 95% CI 0.89 to 1.76) while DM group presented 1.45-fold higher risk of CVEs (HR: 1.45, 95% CI 1.02 to 2.05). When the participants were categorised according to combined status of two parameters, the cardiovascular risk was significantly elevated in pre-DM or DM plus AD group compared with the NGR plus non-AD group (HR: 1.76, 95% CI 1.10 to 2.80 and HR: 1.87, 95% CI 1.17 to 2.98). CONCLUSIONS The present study suggested that the presence of AD might affect the prognosis in patients with DM or pre-DM and stable CAD.
Collapse
Affiliation(s)
- Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
- Department of Endocrinology, Genetics and Metabolism, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 100045, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Li-Guo Wu
- Department of cardiology, TangXian Peoples Hospital, Baoding, China
| | - Xiang-Dong You
- Department of cardiology, TangXian Peoples Hospital, Baoding, China
| | - Na Guo
- Department of cardiology, TangXian Peoples Hospital, Baoding, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167,100037, Beijing, China
| |
Collapse
|
19
|
Cao YX, Zhang HW, Jin JL, Liu HH, Zhang Y, Zhang M, Gao Y, Guo YL, Wu NQ, Zhu CG, Dong Q, Sun J, Wang LF, Gao RL, Li JJ. Lipoprotein(a) and Cardiovascular Outcomes in Patients with Previous Myocardial Infarction: A Prospective Cohort Study. Thromb Haemost 2020; 121:1161-1168. [PMID: 33339063 DOI: 10.1055/a-1340-2109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Lipoprotein(a) [Lp(a)] has been documented to be associated with atherothrombotic diseases. However, the prognostic impact of Lp(a) on long-term clinical outcomes among patients with previous myocardial infarction (MI) remains unclear. In this prospective cohort study, we consecutively enrolled 3,864 post-MI patients to assess the cardiovascular events (CVEs), including MI, ischemic stroke, and cardiac mortality. Lp(a) levels were determined using an immunoturbidimetry assay and the participants were categorized according to Lp(a) quartiles. The Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). During a median follow-up of 4.1 years, 331 (8.6%) CVEs were identified. Lp(a) was significantly higher in patients with CVEs (25.17 [11.13-47.83] vs. 18.18 [7.90-40.30] mg/dL, p = 0.001). The cumulative rates of CVEs and cardiac mortality were significantly higher in patients with high Lp(a) levels (both log-rank p < 0.001). Multivariate Cox regression analysis showed a significant correlation between Lp (a) levels treated as a natural logarithm-transformed continuous variable and increased CVEs (adjusted HR:1.22, 95% CI:1.09-1.35, p = 0.001) or cardiac mortality (HR:1.30, 95% CI:1.14-1.48, p < 0.001). The addition of Lp(a) to a prognostic model revealed a significant improvement in C-statistic, net reclassification, and integrated discrimination. In conclusion, elevated levels of Lp(a) were indeed associated with long-term worse outcomes in patients with prior MI, suggesting a novel hint that the measurement of Lp(a) might help in risk stratification and future management in those high-risk individuals.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.,Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University of Medical Science, Beijing, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Meng Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Le-Feng Wang
- Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University of Medical Science, Beijing, China
| | - Run-Lin Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
20
|
Zhang HW, Jin JL, Cao YX, Liu HH, Zhang Y, Guo YL, Wu NQ, Zhu CG, Gao Y, Xu RX, Hua Q, Li YF, Cui CJ, Liu G, Dong Q, Sun J, Li JJ. Heart-type fatty acid binding protein predicts cardiovascular events in patients with stable coronary artery disease: a prospective cohort study. Ann Transl Med 2020; 8:1349. [PMID: 33313094 PMCID: PMC7723623 DOI: 10.21037/atm-20-2493] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background Heart-type fatty acid binding protein (H-FABP) has been reported to be a prognostic predictor for cardiovascular outcome in acute coronary syndrome (ACS). However, its prognostic utility in patients with stable coronary artery disease (CAD) has not been well established. The aim of this study was to assess the association between H-FABP with the severity of coronary disease and cardiovascular events (CVEs) in patients with stable CAD. Methods A total of 4,370 angiography-proven CAD patients were consecutively enrolled. The severity of CAD was assessed by Gensini Score (GS) and the numbers of diseased vessels. The CVEs included cardiovascular death, myocardial infarction, stroke and coronary revascularization. Cox regression analysis with adjusted hazard ratios (HRs) and Kaplan-Meier analysis were used to evaluate the relation of H-FABP to CVEs in this cohort. Results During a median follow-up of 51 months, 353 CVEs occurred. Overall, patients in the highest levels of H-FABP group had increased rate of multi-vessel stenosis and higher GS compared with those in the lowest group (P<0.05, respectively). Moreover, H-FABP levels were significantly higher in patients with events compared to those without (P<0.001). In Cox regression analysis, elevated H-FABP levels were found to be independently associated with a high risk of CVEs [adjusted HRs: 1.453; 95% confidence intervals (CIs): 1.040–2.029, P=0.028], especially with cardiovascular death (adjusted HRs: 2.865; 95% CI: 1.315–6.243, P=0.008). Conclusions Our results demonstrated that H-FABP was also a useful predictor for CVEs in patients with stable CAD, which needed to be verified by further studies.
Collapse
Affiliation(s)
- Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chuan-Jue Cui
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Geng Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
21
|
Zhang MH, Cao YX, Wu LG, Guo N, Hou BJ, Sun LJ, Guo YL, Wu NQ, Dong Q, Li JJ. Association of plasma free fatty acids levels with the presence and severity of coronary and carotid atherosclerotic plaque in patients with type 2 diabetes mellitus. BMC Endocr Disord 2020; 20:156. [PMID: 33087077 PMCID: PMC7579983 DOI: 10.1186/s12902-020-00636-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 10/13/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Previous studies have suggested that patients with diabetes mellitus (DM) have higher prevalence of atherosclerotic cardiovascular disease (ASCVD), and plasma levels of free fatty acids (FFAs) are a useful marker for predicting ASCVD. We hypothesized that FFAs could predict both coronary and carotid lesions in an individual with type 2 DM (T2DM). The present study, hence, was to investigate the relation of plasma FFA level to the presence and severity of coronary and carotid atherosclerosis in patients with T2DM. METHODS Three hundred and two consecutive individuals with T2DM who have received carotid ultrasonography and coronary angiography due to chest pain were enrolled in this study. Plasma FFAs were measured using an automatic biochemistry analyzer. Coronary and carotid severity was evaluated by Gensini score and Crouse score respectively. Subsequently, the relation of FFA levels to the presence and severity of coronary artery disease (CAD) and carotid atherosclerotic plaque (CAP) in whole individuals were also assessed. RESULTS Increased plasma FFA levels were found in the groups either CAD or CAP compared to those without. Patients with higher level of FFAs had a higher CAD (89.9%) and elevated prevalence of CAP (69.7%). And also, patients with higher level of FFAs had a higher Gensini and Crouse scores. Multivariate regression analysis showed that FFA levels were independently associated with the presence of CAD and CAP (OR = 1.83, 95%CI: 1.27-2.65, P = 0.001; OR = 1.62, 95%CI: 1.22-2.14, P = 0.001, respectively). The area under the curve (AUC) was 0.68 and 0.65 for predicting the presence of CAD and CAP in patients with DM respectively. CONCLUSIONS The present study firstly indicated that elevated FFA levels appeared associated with both the presence and severity of CAD and CAP in patients with T2DM, suggesting that plasma FFA levels may be a useful biomarker for improving management of patients with T2DM.
Collapse
Affiliation(s)
- Ming-Hua Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
- Department of Internal Medicine, The People's Hospital of Tang Xian County, Baoding, 072350, Hebei, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Li-Guo Wu
- Department of Internal Medicine, The People's Hospital of Tang Xian County, Baoding, 072350, Hebei, China
| | - Na Guo
- Department of Internal Medicine, The People's Hospital of Tang Xian County, Baoding, 072350, Hebei, China
| | - Bing-Jie Hou
- Department of Internal Medicine, The People's Hospital of Tang Xian County, Baoding, 072350, Hebei, China
| | - Li-Jing Sun
- Department of Internal Medicine, The People's Hospital of Tang Xian County, Baoding, 072350, Hebei, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| |
Collapse
|
22
|
Peng J, Liu MM, Jin JL, Cao YX, Guo YL, Wu NQ, Zhu CG, Dong Q, Sun J, Xu RX, Li JJ. Association of circulating PCSK9 concentration with cardiovascular metabolic markers and outcomes in stable coronary artery disease patients with or without diabetes: a prospective, observational cohort study. Cardiovasc Diabetol 2020; 19:167. [PMID: 33023603 PMCID: PMC7541318 DOI: 10.1186/s12933-020-01142-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/27/2020] [Indexed: 02/07/2023] Open
Abstract
Background Whether plasma proprotein convertase subtilisin/kexin type 9 (PCSK9) levels is a predictor for cardiovascular outcomes has currently been controversial. No data is currently available regarding the relation of PCSK9 to cardiovascular metabolic markers (CVMMs) and major adverse cardiovascular events (MACEs) in stable coronary artery disease (CAD) patients with diabetes or without diabetes. Methods A total 1225 untreated patients with stable CAD were consecutively enrolled and their baseline plasma PCSK9 levels were determined by ELISA. Patients were divided into high and low PCSK9 groups according to PCSK9 median. All patients followed up for the occurrence of MACEs and received standard therapy after admission. The associations of PCSK9 with CVMMs and MACEs were evaluated. Results PCSK9 levels were positively correlated with multiple CVMMs including total cholesterol, low-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol and hemoglobin A1c at baseline (all p < 0.05). During a median follow-up of 3.3 years, 103 (8.4%) events occurred. PCSK9 levels were higher in patients with events compared to those without (p < 0.05). The Kaplan–Meier analysis displayed that patients in high PCSK9 group had lower event-free survival than that in low group (p < 0.05). Multivariable Cox regression analysis revealed that PCSK9 levels were independently associated with MACEs in diabetic patients (adjusted hazard ratio [HR]: 1.361, 95% confidence interval [CI]: 1.037–1.785, p < 0.05). When added the combination of PCSK9 levels and diabetic status to stratifying factors, patients in high PCSK9 group appeared to have extremely high risk of subsequent MACEs with diabetes (adjusted HR: 5.233, 95% CI: 2.546–10.757, p < 0.01). Conclusions The present study firstly showed that elevated PCSK9 levels were related to multiple CVMMs and MACEs in stable CAD with diabetes, suggesting that plasma PCSK9 measurement could help to identify diabetic patients with CAD at higher cardiovascular risk. More studies may be needed to confirm our findings.
Collapse
Affiliation(s)
- Jia Peng
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ming-Ming Liu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China.
| |
Collapse
|
23
|
Zhang Y, Jin JL, Cao YX, Liu HH, Zhang HW, Guo YL, Wu NQ, Gao Y, Hua Q, Li YF, Xu RX, Cui CJ, Liu G, Dong Q, Sun J, Li JJ. Prognostic utility of lipoprotein(a) combined with fibrinogen in patients with stable coronary artery disease: a prospective, large cohort study. J Transl Med 2020; 18:373. [PMID: 33004038 PMCID: PMC7528376 DOI: 10.1186/s12967-020-02546-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 09/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background Elevated lipoprotein(a) [Lp(a)] and fibrinogen (Fib) are both associated with coronary artery disease (CAD). The atherogenicity of Lp(a) can be partly due to the potentially antifibrinolytic categories. We hypothesize that patients with higher Lp(a) and Fib may have worse outcomes. Methods In this prospective study, we consecutively enrolled 8,417 Chinese patients with stable CAD from March 2011 to March 2017. All subjects were divided into 9 groups according to Lp(a) (Lp(a)-Low, Lp(a)-Medium, Lp(a)-High) and Fib levels (Fib-Low, Fib-Medium, Fib-High) and followed up for CVEs, including nonfatal acute myocardial infarction, stroke, and cardiovascular mortality. Kaplan–Meier, Cox regression and C-statistic analyses were performed. Results During a median of 37.1 months’ follow-up, 395 (4.7%) CVEs occurred. The occurrence of CVEs increased by Lp(a) (3.5 vs. 5.3 vs. 5.6%, p = 0.001) and Fib (4.0 vs. 4.4 vs. 6.1%, p < 0.001) categories. When further classified into 9 groups by Lp(a) and Fib levels, the CVEs were highest in the 9th (Lp(a)-High and Fib-High) compared with the 1st (Lp(a)-Low and Fib-Low) group (7.2 vs. 3.3%, p < 0.001). The highest risk of subsequent CVEs was found in the 9th group (HRadjusted 2.656, 95% CI 1.628–4.333, p < 0.001), which was more significant than Lp(a)-High (HRadjusted 1.786, 95% CI 1.315–2.426, p < 0.001) or Fib-High (HRadjusted 1.558, 95% CI 1.162–2.089, p = 0.003) group. Moreover, adding the combined Lp(a) and Fib increased the C-statistic by 0.013. Conclusion Combining Fib and Lp(a) enhance the prognostic value for incident CVEs beyond Lp(a) or Fib alone.
Collapse
Affiliation(s)
- Yan Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rui-Xia Xu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Chuan-Jue Cui
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
24
|
Jin JL, Zhang HW, Cao YX, Liu HH, Hua Q, Li YF, Zhang Y, Guo YL, Wu NQ, Zhu CG, Xu RX, Gao Y, Li XL, Cui CJ, Liu G, Sun J, Dong Q, Santos R, Li JJ. Long-term prognostic utility of low-density lipoprotein (LDL) triglyceride in real-world patients with coronary artery disease and diabetes or prediabetes. Cardiovasc Diabetol 2020; 19:152. [PMID: 32981521 PMCID: PMC7520976 DOI: 10.1186/s12933-020-01125-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 09/12/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Recent guidelines highlighted the association between atherosclerosis and triglyceride-enriched lipoproteins in patients with impaired glucose metabolism. However, evidence from prospective studies for long-term prognostic utility of low-density lipoprotein triglyceride (LDL-TG) in real-world patients with prediabetes (Pre-DM) or diabetes mellitus (DM) and coronary artery disease (CAD) is currently not available. The aim of the present study was to evaluate the impact of LDL-TG on major adverse cardiovascular events (MACEs) in patients with stable CAD under different glucose metabolism status. METHODS A total of 4381 patients with CAD were consecutively enrolled and plasma LDL-TG level was measured by an automated homogeneous assay. They were categorized according to both status of glucose metabolism [DM, Pre-DM, normal glycaemia regulation (NGR)] and tertiles of LDL-TG. All subjects were followed up for the occurrence of MACEs. RESULTS During a median of 5.1 (interquartile range 3.9 to 5.9) years' follow-up, 507 (11.6%) MACEs occurred. Cubic spline models showed a significant association between LDL-TG and MACEs in DM and Pre-DM but not in NGR. When the combined effect of elevated LDL-TG and glucose disorders was considered for risk stratification, the medium tertile of LDL-TG plus DM, and the highest tertile of LDL-TG plus Pre-DM or plus DM subgroups were associated with significantly higher risk of MACEs after adjustment of confounders including triglyceride [hazard ratios (95% confidence intervals): 1.843 (1.149-2.955), 1.828 (1.165-2.867), 2.212 (1.396-3.507), all p < 0.05]. Moreover, adding LDL-TG into the original model increased the C-statistic from 0.687 to 0.704 (∆C-statistic = 0.016, p = 0.028) and from 0.734 to 0.749 (∆C-statistic = 0.014, p = 0.002) in Pre-DM and DM, respectively. CONCLUSIONS In this longitudinal cohort study on real-world practice, higher LDL-TG was associated with worse outcomes among Pre-DM and DM patients with stable CAD.
Collapse
Affiliation(s)
- Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Xiao-Lin Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Chuan-Jue Cui
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Raul Santos
- Hospital Israelita Albert Einstein, Sao Paulo, Brazil
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
25
|
Zhang Y, Jin JL, Cao YX, Zhang HW, Guo YL, Wu NQ, Zhu CG, Gao Y, Hua Q, Li YF, Xu RX, Li JJ. Lipoprotein (a) predicts recurrent worse outcomes in type 2 diabetes mellitus patients with prior cardiovascular events: a prospective, observational cohort study. Cardiovasc Diabetol 2020; 19:111. [PMID: 32646432 PMCID: PMC7350185 DOI: 10.1186/s12933-020-01083-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 07/02/2020] [Indexed: 12/22/2022] Open
Abstract
Background Merging studies have reported the association of lipoprotein(a) [Lp(a)] with poor outcomes of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). However, the prognostic importance of Lp(a) for recurrent cardiovascular events (CVEs) is currently undetermined in patients with T2DM and prior CVEs. Methods From April 2011 to March 2017, we consecutively recruited 2284 T2DM patients with prior CVEs. Patients were categorized into low, medium, and high groups by Lp(a) levels and followed up for recurrent CVEs, including nonfatal acute myocardial infarction, stroke, and cardiovascular mortality. Kaplan–Meier, Cox regression and C-statistic analyses were performed. Results During 7613 patient-years’ follow-up, 153 recurrent CVEs occurred. Lp(a) levels were significantly higher in patients with recurrent CVEs than counterparts (20.44 vs. 14.71 mg/dL, p = 0.002). Kaplan–Meier analysis revealed that the event-free survival rate was dramatically lower in high and medium Lp(a) groups than that in low group irrespective of HBA1c status (< 7.0%; ≥ 7.0%, both p < 0.05). Furthermore, multivariate Cox regression models indicated that Lp(a) was independently associated with high risk of recurrent CVEs [HR(95% CI): 2.049 (1.308–3.212)], such data remains in different HBA1c status (HR(95% CI): < 7.0%, 2.009 (1.051–3.840); ≥ 7.0%, 2.162 (1.148–4.073)). Moreover, the results of C-statistic were significantly improved by 0.029 when added Lp(a) to the Cox model. Conclusions Our data, for the first time, confirmed that Lp(a) was an independent predictor for recurrent CVEs in T2DM patients with prior CVEs, suggesting that Lp(a) measurement may help to further risk stratification for T2DM patients after they suffered a first CVE.
Collapse
Affiliation(s)
- Yan Zhang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
26
|
Cao YX, Zhang HW, Jin JL, Liu HH, Zhang Y, Xu RX, Gao Y, Guo YL, Zhu CG, Hua Q, Li YF, Santos RD, Wu NQ, Li JJ. Prognostic utility of triglyceride-rich lipoprotein-related markers in patients with coronary artery disease. J Lipid Res 2020; 61:1254-1262. [PMID: 32641433 DOI: 10.1194/jlr.ra120000746] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/17/2020] [Indexed: 01/22/2023] Open
Abstract
TG-rich lipoprotein (TRL)-related biomarkers, including TRL-cholesterol (TRL-C), remnant-like lipoprotein particle-cholesterol (RLP-C), and apoC-III have been associated with atherosclerosis. However, their prognostic values have not been fully determined, especially in patients with previous CAD. This study aimed to examine the associations of TRL-C, RLP-C, and apoC-III with incident cardiovascular events (CVEs) in the setting of secondary prevention of CAD. Plasma TRL-C, RLP-C, and total apoC-III were directly measured. A total of 4,355 participants with angiographically confirmed CAD were followed up for the occurrence of CVEs. During a median follow-up period of 5.1 years (interquartile range: 3.9-6.4 years), 543 (12.5%) events occurred. Patients with incident CVEs had significantly higher levels of TRL-C, RLP-C, and apoC-III than those without events. Multivariable Cox analysis indicated that a log unit increase in TRL-C, RLP-C, and apoC-III increased the risk of CVEs by 49% (95% CI: 1.16-1.93), 21% (95% CI: 1.09-1.35), and 40% (95% CI: 1.11-1.77), respectively. High TRL-C, RLP-C, and apoC-III were also independent predictors of CVEs in individuals with LDL-C levels ≤1.8 mmol/l (n = 1,068). The addition of RLP-C level to a prediction model resulted in a significant increase in discrimination, and all three TRL biomarkers improved risk reclassification. Thus, TRL-C, RLP-C, and apoC-III levels were independently associated with incident CVEs in Chinese CAD patients undergoing statin therapy.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Raul D Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital and Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
27
|
Cao YX, Zhang HW, Jin JL, Liu HH, Zhang Y, Gao Y, Guo YL, Wu NQ, Hua Q, Li YF, Li XL, Xu RX, Cui CJ, Liu G, Dong Q, Sun J, Zhu CG, Li JJ. The longitudinal association of remnant cholesterol with cardiovascular outcomes in patients with diabetes and pre-diabetes. Cardiovasc Diabetol 2020; 19:104. [PMID: 32631321 PMCID: PMC7339517 DOI: 10.1186/s12933-020-01076-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 07/02/2020] [Indexed: 12/16/2022] Open
Abstract
Background The atherogenicity of remnant cholesterol (RC) has been underlined by recent guidelines, which was linked to coronary artery disease (CAD), especially for patients with diabetes mellitus (DM). This study aimed to examine the prognostic value of plasma RC in the patients with CAD under different glucose metabolism status. Methods Fasting plasma RC were directly calculated or measured in 4331 patients with CAD. Patients were followed for the occurrence of major adverse cardiovascular events (MACEs) and categorized according to both glucose metabolism status [DM, pre-DM, normoglycemia (NG)] and RC levels. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals. Results During a mean follow-up of 5.1 years, 541 (12.5%) MACEs occurred. The risk for MACEs was significantly higher in patients with elevated RC levels after adjustment for potential confounders. No significant difference in MACEs was observed between pre-DM and NG groups (p > 0.05). When stratified by combined status of glucose metabolism and RC, highest levels of calculated and measured RC were significant and independent predictors of developing MACEs in pre-DM (HR: 1.64 and 1.98; both p < 0.05) and DM (HR: 1.62 and 2.05; both p < 0.05). High RC levels were also positively associated with MACEs in patients with uncontrolled DM. . Conclusions In this large-scale and long-term follow-up cohort study, data firstly demonstrated that higher RC levels were significantly associated with the worse prognosis in DM and pre-DM patients with CAD, suggesting that RC may be a target for patients with impaired glucose metabolism.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiao-Lin Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Chuan-Jue Cui
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
28
|
Jiang HH, Wang KX, Bi KH, Lu ZM, Zhang JQ, Cheng HR, Zhang MY, Su JJ, Cao YX. Sildenafil might impair maternal-fetal immunotolerance by suppressing myeloid-derived suppressor cells in mice. J Reprod Immunol 2020; 142:103175. [PMID: 32682164 DOI: 10.1016/j.jri.2020.103175] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 06/24/2020] [Accepted: 07/01/2020] [Indexed: 12/11/2022]
Abstract
Myeloid-derived suppressor cells (MDSCs) as an important population of immune cells were found to restrain T cell function, polarize T-helper cells (Th) 1/Th2 toward Th2 response and induce regulatory T cells (Tregs), therefore enhancing the immunotolerance during pregnancy. Sildenafil has been applied for poor endometrial quality in implantation failure patients. Nevertheless, investigations have shown that sildenafil could reduce MDSCs-dependent immunosuppression. Whether sildenafil affects embryo implantation by suppressing MDSCs? To address this question, using the mice model, we investigated the amounts of immune cells in peripheral blood and endometrial cells from control group (CG), sildenafil low-dose group (LDG) and high-dose group (HDG). We found that both treatment groups displayed a marked deficiency in polymorphonuclear (PMN)-MDSCs and Th2 from mice blood and endometrium as compared to these from CG. The frequency of Tregs in endometrium from HDG was lower than those from CG. Th1/Th2 ratio in both periphery and uterus from study groups showed a significant increase as compared to those from CG. By relevance analysis, we found that the level of Tregs positively correlated with the level of PMN-MDSCs, whereas the Th1/Th2 ratio negatively correlated with the frequency of PMN-MDSCs in uterus. Moreover, there was a positive relationship between the amount of blood PMN-MDSCs and endometrial PMN-MDSCs. These results suggest that we should carefully weigh the pros and cons of using sildenafil when applied to patients with poor endometrial receptivity.
Collapse
Affiliation(s)
- H H Jiang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - K X Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - K H Bi
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Z M Lu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - J Q Zhang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - H R Cheng
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - M Y Zhang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - J J Su
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Y X Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei 230032, Anhui, China; Biopreservation and Artificial Organs, Anhui Provincial Engineering Research Center, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
| |
Collapse
|
29
|
Liu HH, Cao YX, Jin JL, Zhang HW, Hua Q, Li YF, Guo YL, Zhu CG, Wu NQ, Gao Y, Xu RX, Hong LF, Li JJ. Association of lipoprotein(a) levels with recurrent events in patients with coronary artery disease. Heart 2020; 106:1228-1235. [PMID: 32381650 DOI: 10.1136/heartjnl-2020-316586] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 04/01/2020] [Accepted: 04/09/2020] [Indexed: 12/18/2022] Open
Abstract
ObjectiveWhether lipoprotein(a) (Lp(a)) is a predictor for recurrent cardiovascular events (RCVEs) in patients with coronary artery disease (CAD) has not been established. This study, hence, aimed to examine the potential impact of Lp(a) on RCVEs in a real-world, large cohort of patients with the first cardiovascular event (CVE).MethodsIn this multicentre, prospective study, 7562 patients with angiography-diagnosed CAD who had experienced a first CVE were consecutively enrolled. Lp(a) concentrations of all subjects were measured at admission and the participants were categorised according to Lp(a) tertiles. All patients were followed-up for the occurrence of RCVEs including cardiovascular death, non-fatal myocardial infarction and stroke.ResultsDuring a mean follow-up of 61.45±19.57 months, 680 (9.0%) RCVEs occurred. The results showed that events group had significantly higher Lp(a) levels than non-events group (20.58 vs 14.95 mg/dL, p<0.001). Kaplan-Meier analysis indicated that Lp(a) tertile 2 (p=0.001) and tertile 3 (p<0.001) groups had significantly lower cumulative event-free survival rates compared with tertile 1 group. Moreover, multivariate Cox regression analysis further revealed that Lp(a) was independently associated with RCVEs risk (HR: 2.01, 95% CI: 1.44 to 2.80, p<0.001). Moreover, adding Lp(a) to the SMART risk score model led to a slight but significant improvement in C-statistic (∆C-statistic: 0.018 (95% CI: 0.011 to 0.034), p=0.002), net reclassification (6.8%, 95% CI: 0.5% to 10.9%, p=0.040) and integrated discrimination (0.3%, 95% CI: 0.1% to 0.7%, p<0.001).ConclusionsCirculating Lp(a) concentration was indeed a useful predictor for the risk of RCVEs in real-world treated patients with CAD, providing additional information concerning the future clinical application of Lp(a).
Collapse
|
30
|
Jin JL, Zhang HW, Cao YX, Liu HH, Hua Q, Li YF, Zhang Y, Wu NQ, Zhu CG, Xu RX, Gao Y, Li XL, Cui CJ, Liu G, Sun J, Dong Q, Guo YL, Li JJ. Association of small dense low-density lipoprotein with cardiovascular outcome in patients with coronary artery disease and diabetes: a prospective, observational cohort study. Cardiovasc Diabetol 2020; 19:45. [PMID: 32245386 PMCID: PMC7118853 DOI: 10.1186/s12933-020-01015-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 03/16/2020] [Indexed: 12/23/2022] Open
Abstract
Background Elevation in small dense low-density lipoprotein (sdLDL) is common in patients with diabetes mellitus (DM), which has already been reported to be associated with incidence of coronary artery disease (CAD). The aim of the present study was to investigate the prognostic value of plasma sdLDL level in patients with stable CAD and DM. Methods A total of 4148 consecutive patients with stable CAD were prospectively enrolled into the study and followed up for major cardiovascular events (MACEs) up to 8.5 years. Plasma sdLDL level was measured in each patient by a direct method using automated chemistry analyzer. The patients were subsequently divided into four groups by the quartiles of sdLDL and the association of sdLDL level with MACEs in different status of glucose metabolism [DM, Pre-DM, normal glycaemia regulation (NGR)] was evaluated. Results A total of 464 MACEs were documented. Both Kaplan–Meier analysis and Cox regression analysis indicated that the patients in quartile 4 but not quartile 2 or 3 of sdLDL level had significantly higher rate of MACEs than that in lowest quartile. When the prognostic value of high sdLDL was assessed in different glucose metabolism status, the results showed that the high sdLDL plus DM was associated with worse outcome after adjustment of confounding risk factors (hazard ratio: 1.83, 95% confident interval: 1.24–2.70, p < 0.05). However, no significant association was observed for high sdLDL plus Pre-DM or NGR. Conclusions The present study firstly indicated that elevated levels of plasma sdLDL were associated with increased risk of MACEs among DM patients with proven CAD, suggesting that sdLDL may be useful for CAD risk stratification in DM.
Collapse
Affiliation(s)
- Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Yan Zhang
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Xiao-Lin Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Chuan-Jue Cui
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
31
|
Jin JL, Zhang HW, Cao YX, Liu HH, Zhang Y, Guo YL, Wu NQ, Zhu CG, Xu RX, Gao Y, Cui CJ, Sun J, Dong Q, Li JJ. LOW-DENSITY LIPOPROTEIN TRIGLYCERIDE AS A PROGNOSTIC PREDICTOR ASSOCIATES WITH DIFFERENT LOW DENSITY LIPOPROTEIN CHOLESTEROL TARGETS AND INFLAMMATORY STATUS IN PATIENTS WITH STABLE CORONARY ARTERY DISEASE. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)30747-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
32
|
Zhang M, Jin JL, Yan XN, Dong Q, Cao YX, Liu HH, Li JJ. LIPOPROTEIN (A) AND CARDIOVASCULAR MORTALITY IN OLDEST OLD (≥80 YEARS) PATIENTS WITH ACUTE MYOCARDIAL INFARCTION: A OBSERVATIONAL STUDY ON 1008 CASES. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)30758-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
33
|
Zhang HW, Jin JL, Cao YX, Liu HH, Guo YL, Wu NQ, Zhu CG, Gao Y, Xu RX, Dong Q, Sun J, Li JJ. HEART-TYPE FATTY ACID BINDING PROTEIN RATHER THAN TROPONIN I ASSOCIATES WITH INCREASED RISK OF MYOCARDIAL INJURY AND ADVERSE EVENTS IN PATIENTS RECEIVING ELECTIVE PERCUTANEOUS CORONARY INTERVENTION. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)30772-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
34
|
Jin JL, Sun J, Cao YX, Zhang HW, Guo YL, Wu NQ, Zhu CG, Xu RX, Gao Y, Dong Q, Li JIJ. LONGITUDINAL ASSOCIATION OF LOW DENSITY LIPOPROTEIN TRIGLYCERIDE WITH CARDIOVASCULAR OUTCOMES IN PATIENTS WITH DIABETES AND PRE-DIABETES. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)32573-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
35
|
Liu HH, Cao YX, Jin JL, Zhang HW, Hua Q, Li YF, Guo YL, Zhu CG, Wu NQ, Xu RX, Chen XH, Li JJ. Predicting Cardiovascular Outcomes by Baseline Lipoprotein(a) Concentrations: A Large Cohort and Long-Term Follow-up Study on Real-World Patients Receiving Percutaneous Coronary Intervention. J Am Heart Assoc 2020; 9:e014581. [PMID: 32013705 PMCID: PMC7033882 DOI: 10.1161/jaha.119.014581] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Although several studies have indicated that lipoprotein(a) is a useful prognostic predictor for patients following percutaneous coronary intervention (PCI), previous observations have somewhat been limited by either small sample size or short‐term follow‐up. Hence, this study aimed to evaluate the impact of lipoprotein(a) on long‐term outcomes in a large cohort of stable coronary artery disease patients after PCI. Methods and Results In this multicenter and prospective study, we consecutively enrolled 4078 stable coronary artery disease patients undergoing PCI from March 2011 to March 2016. They were categorized according to both the median of lipoprotein(a) levels and lipoprotein(a) values of <15 (low), 15 to 30 (medium), and ≥30 mg/dL (high). All patients were followed up for occurrence of cardiovascular events, including cardiovascular death, nonfatal myocardial infarction, and stroke. During an average of 4.9 years of follow‐up, 315 (7.7%) cardiovascular events occurred. The events group had significantly higher lipoprotein(a) levels than the nonevents group. Compared with the low lipoprotein(a) group, Kaplan–Meier analysis showed that the high lipoprotein(a) group had a significantly lower cumulative event‐free survival rate, and multivariate Cox regression analysis further revealed that the high lipoprotein(a) group had significantly increased cardiovascular events risk. Moreover, adding continuous or categorical lipoprotein(a) to the Cox model led to a significant improvement in C‐statistic, net reclassification, and integrated discrimination. Conclusions With a large sample size and long‐term follow‐up, our data confirmed that high lipoprotein(a) levels could be associated with a poor prognosis after PCI in stable coronary artery disease patients, suggesting that lipoprotein(a) measurements may be useful for patient risk stratification before selective PCI.
Collapse
Affiliation(s)
- Hui-Hui Liu
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Ye-Xuan Cao
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Jing-Lu Jin
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Hui-Wen Zhang
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Qi Hua
- Department of Cardiology XuanWu Hospital Capital Medical University Beijing China
| | - Yan-Fang Li
- Department of Cardiology Beijing AnZhen Hospital Capital Medical University Beijing 100037 China
| | - Yuan-Lin Guo
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Cheng-Gang Zhu
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Na-Qiong Wu
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Rui-Xia Xu
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Xie-Hui Chen
- Department of Geriatrics Cardiovascular Medicine FuWai Hospital Chinese Academy of Medical Sciences China
| | - Jian-Jun Li
- Department of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| |
Collapse
|
36
|
Cao YX, Jin JL, Guo YL, Sun D, Liu HH, Wu NQ, Xu RX, Zhu CG, Liu G, Dong Q, Sun J, Li JJ. Baseline and on-statin treatment lipoprotein(a) levels for predicting cardiovascular events in patients with familial hypercholesterolemia. Atherosclerosis 2019; 291:27-33. [PMID: 31683090 DOI: 10.1016/j.atherosclerosis.2019.10.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 09/27/2019] [Accepted: 10/10/2019] [Indexed: 01/26/2023]
|
37
|
Zhao XL, Gao JS, Li LL, Li S, Wang H, Xiao JF, Zhang J, Mi H, Yang YJ, Zhao FY, Guan X, Cao YX, Wu YY, Lu CX, Yang T, Zhang X. [Prenatal gene diagnosis of 200 fetuses at high risk of osteogenesis imperfect]. Zhonghua Yi Xue Za Zhi 2019; 99:3328-3334. [PMID: 31715670 DOI: 10.3760/cma.j.issn.0376-2491.2019.42.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: The authors aim to provide genetic counselling and prenatal gene diagnosis to the families with osteogenesis imperfecta(OI), based on the identification of pathogenetic mutations in large cohort genetic testing. Methods: DNA was extracted from the peripheral blood of parents of the fetuses, and from the villi tissue, amniotic fluid or cord blood of the fetuses using a standard sodium dodecyl sulfate-proteinase K-phenol/chloroform extraction method. PCR combined with Sanger DNA sequencing was performed to validate the pathogenic mutations of 200 fetuses at risk of OI and their parents from 158 families. Allelic analysis of microsatellite markers was applied to exclude the false positive caused by maternal DNA contamination, when both the fetus and the mother harbored the same pathogenic genotype. Results: A total of 83 affected fetuses (83/200, 41.5%) and 12 (12/200, 6.0%) recessive carriers were identified among the 200 fetuses. The 83 affected fetuses included 78 heterozygotes (45 of COL1A1, 32 of COL1A2, one of IFITM5), and 5 compound heterozygotes or homozygotes of recessive OI (two of FKBP10, one of SEC24D, one of WNT1 and one of CRTAP); The 12 recessive carriers included 7 of WNT1, 4 of SERPINF1 and one of SERPINH1. Maternal DNA contamination was excluded from the genomic DNA samples of OI fetuses when their mother with the same affected genotypes. Conclusion: In this study, the authors used an optimized gene diagnosis system of OI to perform prenatal genetic diagnosis to 200 fetuses at high risk of OI, and provided precisely genetic counselling to the OI families.
Collapse
Affiliation(s)
- X L Zhao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - J S Gao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing 100730, China
| | - L L Li
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - S Li
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - H Wang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - J F Xiao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - J Zhang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - H Mi
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Y J Yang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - F Y Zhao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - X Guan
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Y X Cao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Y Y Wu
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - C X Lu
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - T Yang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - X Zhang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences -School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| |
Collapse
|
38
|
Cao YX, Jin JL, Sun D, Liu HH, Guo YL, Wu NQ, Xu RX, Zhu CG, Dong Q, Sun J, Li JJ. Circulating PCSK9 and cardiovascular events in FH patients with standard lipid-lowering therapy. J Transl Med 2019; 17:367. [PMID: 31711505 PMCID: PMC6849213 DOI: 10.1186/s12967-019-2123-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 11/01/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Proprotein convertase subtilisin/kexin 9 (PCSK9) has been proposed as a novel target for coronary artery disease (CAD). Familial hypercholesterolemia (FH) is characterized by high prevalence of CAD and major cardiovascular events (MACEs). However, no data is available on the association between PCSK9 levels and MACEs in FH patients with standard lipid lowering therapy. METHODS A total of 338 consecutive heterozygous FH (Dutch Lipid Clinic Network score ≥ 6) was enrolled and followed up for the occurrence of MACEs. Multidetector CT and coronary angiography were performed to determine coronary artery calcification score (CACS) and Gensini score (GS). Multivariable Cox regression analyses were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). Plasma PCSK9 concentrations were determined by enzyme immunoassay. RESULTS PCSK9 was independently and positively associated CACS and GS at baseline. During a mean follow-up of 3 years, 33 (9.8%) events occurred. Patients with MACEs had higher median PCSK9 compared with those without (332.47 vs. 311.89 ng/mL, p = 0.038). Kaplan-Meier analysis revealed that patients with higher PCSK9 presented lower event-free survival (p = 0.0017). PCSK9 was statistically correlated with MACEs after adjusting for confounding factors, with the HR per SD being 1.86 (1.31-2.65) and 3.70 (1.16-11.82) for the highest tertile compared with the lowest tertile. Adding PCSK9 to Cox prediction model led to a statistical improvement in net reclassification and integrated discrimination. CONCLUSION Elevated levels of PCSK9 were positively associated with the development of CAD and future cardiovascular events, suggesting that measurement of PCSK9 concentration might be useful for cardiovascular risk stratification. Further studies are needed to confirm our results.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Rui-Xia Xu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
39
|
Cao YX, Zhou BY, Sun D, Li S, Guo YL, Zhu CG, Wu NQ, Gao Y, Xu RX, Liu G, Dong Q, Li JJ. Differences in phenotype, genotype and cardiovascular events between patients with probable and definite heterozygous familial hypercholesterolemia. Per Med 2019; 16:467-478. [PMID: 31691639 DOI: 10.2217/pme-2018-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: To investigated the potential differences between probable and definite heterozygous familial hypercholesterolemia (HeFH) patients diagnosed by Dutch Lipid Clinic Network criteria. Methods: Clinical characteristics, lipid profile, severity of coronary artery stenosis and gene mutations were compared. Kaplan-Meier curve was performed to evaluate the cardiovascular events. Results: Overall, 325 participants were included and divided into two groups: probable (n = 233) and definite HeFH (n = 92). Definite HeFH patients had higher low-density lipoprotein cholesterol (LDL-C), oxidized-LDL and proprotein convertase subtilisin/kexin 9 levels, and higher prevalence of tendon xanthomas. The incidence of genetic mutations was statistically higher in definite HeFH than probable HeFH patients. The coronary stenosis calculated by Gensini score was statistically severer in definite HeFH patients. The best LDL-C threshold for predicting mutations was 5.14 mmol/l. Definite HeFH had lower event-free survival rates. Conclusion: Definite HeFH patients had higher severity of phenotype and genotype, and higher risk of cardiovascular events.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Bing-Yang Zhou
- Department of Cardiology, Tianjin Chest Hospital, Tianjin Institute of Cardiovascular Diseases, Tianjin 300222, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Sha Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Rui-Xia Xu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing 100037, China
| |
Collapse
|
40
|
Cao YX, Wan XL, Hou YH, Liu Y, Song MM, Li GQ. Comparative study on the effect of Y content on grain refinement in the simulated coarse-grained heat-affected zone of X70 pipeline steels. Micron 2019; 127:102758. [PMID: 31634690 DOI: 10.1016/j.micron.2019.102758] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/20/2019] [Accepted: 09/20/2019] [Indexed: 10/25/2022]
Abstract
This study aims to investigate the influence of Y content on grain refinement in the simulated coarse-grained heat-affected zone (CGHAZ) of X70 pipeline steels. The results explored that two different grain refinement mechanisms were presented in 0.034 wt.%-Y and 0.075 wt.%-Y steels, respectively. The Y2O2S inclusions and YP precipitates are formed in 0.034 wt.%-Y steel instead of the YP inclusions and more YP precipitates in 0.075 wt.%-Y steel. The grain refinement mechanism in the simulated CGHAZ of 0.034 wt.%-Y steel mainly depends on the formation of acicular ferrite induced by Y2O2S inclusion. Whereas, the grain refinement mechanism in the simulated CGHAZ of 0.075 wt.%-Y steel primarily relies on the austenite boundary pinning effect by higher density of YP precipitates.
Collapse
Affiliation(s)
- Y X Cao
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - X L Wan
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China; Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
| | - Y H Hou
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Y Liu
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - M M Song
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - G Q Li
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China; Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
| |
Collapse
|
41
|
Jin JL, Cao YX, Liu HH, Zhang HW, Guo YL, Wu NQ, Zhu CG, Xu RX, Gao Y, Sun J, Dong Q, Li JJ. Impact of free fatty acids on prognosis in coronary artery disease patients under different glucose metabolism status. Cardiovasc Diabetol 2019; 18:134. [PMID: 31610783 PMCID: PMC6791018 DOI: 10.1186/s12933-019-0936-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 09/23/2019] [Indexed: 12/22/2022] Open
Abstract
Background The aim of the present study is to examine the effects of free fatty acids (FFAs) on major cardiovascular events (MACEs) in patients with stable coronary artery disease (CAD) and different glucose metabolism status. Methods In this study, we consecutively enrolled 5443 patients from March 2011 to May 2015. Patients were categorized according to both status of glucose metabolism status [diabetes mellitus (DM), pre-diabetes (Pre-DM), normal glycaemia regulation (NGR)] and FFAs levels. All subjects were followed up for the occurrence of the MACEs. Results During a median of 6.7 years’ follow-up, 608 MACEs occurred. A twofold higher FFAs level was independently associated with MACEs after adjusting for confounding factors [Hazard Ratio (HR): 1.242, 95% confidence interval (CI) 1.084–1.424, p value = 0.002]. Adding FFAs to the Cox model increased the C-statistic by 0.015 (0.005–0.027). No significant difference in MACEs was observed between NGR and Pre-DM groups (p > 0.05). When patients were categorized by both status of glucose metabolism and FFAs levels, medium and high FFAs were associated with significantly higher risk of MACEs in Pre-DM [1.736 (1.018–2.959) and 1.779 (1.012–3.126), all p-value < 0.05] and DM [2.017 (1.164–3.494) and 2.795 (1.619–4.824), all p-value < 0.05]. Conclusions The present data indicated that baseline FFAs levels were associated with the prognosis in DM and Pre-DM patients with CAD, suggesting that FFAs may be a valuable predictor in patients with impaired glucose metabolism.
Collapse
Affiliation(s)
- Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Wen Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Rui-Xia Xu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
42
|
Cao YX, Liu HH, Jin JL, Sun D, Guo YL, Wu NQ, Zhu CG, Xu RX, Sun J, Santos RD, Li JJ. Plasma proprotein convertase subtilisin/kexin type 9 concentration and recurrent cardiovascular events in patients with familial hypercholesterolemia. Eur J Prev Cardiol 2019; 28:272-279. [PMID: 33891693 DOI: 10.1177/2047487319880985] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 09/17/2019] [Indexed: 12/27/2022]
Abstract
AIMS Familial hypercholesterolemia patients are characterized by early onset of coronary artery calcification and atherosclerosis, and high incidence of cardiovascular events. Plasma proprotein convertase subtilisin/kexin type 9 was reported to be a predictor for cardiovascular risk in the general population. However, its prognostic value for predicting recurrent cardiovascular events in familial hypercholesterolemia patients remains undetermined. METHODS A total of 249 patients with molecularly and/or clinically (Dutch Lipid Clinic Network score > 6) defined familial hypercholesterolemia who had experienced a first cardiovascular event were consecutively included and plasma proprotein convertase subtilisin/kexin type 9 concentrations were measured by enzyme-linked immunosorbent assay. Coronary artery calcification was measured using Agatston method and coronary severity was assessed by Gensini score, respectively. All patients received standard lipid-lowering therapy and were followed-up for recurrent cardiovascular events. Univariate and multivariate regression and Cox analyses was used to calculate hazard ratios with 95% confidence interval. RESULTS Circulating proprotein convertase subtilisin/kexin type 9 concentrations were positively associated with coronary artery calcification scores and Gensini score by both univariate and multivariate analyses. During a mean follow-up of 43 ± 19 months, 29 (11.51%) recurrent cardiovascular events occurred. Kaplan-Meier analysis showed that patients with the highest proprotein convertase subtilisin/kexin type 9 levels had the lowest event-free survival time. Multivariable Cox regression analysis revealed that proprotein convertase subtilisin/kexin type 9 was independently associated with recurrent cardiovascular events (hazard ratio: 1.45, 95% confidence interval: 1.11-1.88). The combination of proprotein convertase subtilisin/kexin type 9 to Cox prediction model led to an enhanced predictive value for recurrent cardiovascular events. CONCLUSIONS Increased level of proprotein convertase subtilisin/kexin type 9 was a significant risk factor of atherosclerosis and independently predicted future recurrent cardiovascular events in familial hypercholesterolemia patients receiving standard lipid-lowering treatment.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Hui-Hui Liu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Jing-Lu Jin
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Di Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Yuan-Lin Guo
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Na-Qiong Wu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Cheng-Gang Zhu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Rui-Xia Xu
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Jing Sun
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| | - Raul D Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Brazil.,Hospital Israelita Albert Einstein, Brazil
| | - Jian-Jun Li
- State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital and National Center for Cardiovascular Diseases, China
| |
Collapse
|
43
|
Zhang HW, Cao YX, Jin JL, Guo YL, Gao Y, Zhu CG, Wu NQ, Dong QT, Dong Q, Li JJ. P3645Prognosis in relation to high-sensitivity C-reactive protein levels in patients with non-obstructive coronary artery disease. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
It has been reported that coronary artery disease (CAD) is characterized by inflammation and non-obstructive CAD (NOCAD) increases the risk of cardiovascular events (CVEs) compared with ones with normal or near-normal coronary arteries (NNCA), even is similar to obstructive CAD (OCAD). We hypothesized that elevated high-sensitivity C-reactive protein (hs-CRP) may be linked to CVEs in those patients with NOCAD.
Purpose
To investigate the predictive role of hs-CRP in patients with NOCAD.
Methods
Of 7,746 consecutive patients with angina-like chest pain admissions, 4,662 eligible patients were enrolled who received coronary artery angiography (CAG) and followed up for the CVEs comprising all-cause mortality, myocardial infarction, stroke and late revascularization. According to the results of CAG, the patients were classified as NNCA group (<20% stenosis, n=698, 15.0%), NOCAD group (20–49% stenosis, n=639, 14.3%), and OCAD group (≥50% stenosis, n=3325, 70.7%). They were further subdivided into 3 groups according to baseline hs-CRP levels (<1, 1–3 and >3 mg/L). Proportional hazards models were used to assess the risk of CVEs in all patients enrolled.
Results
A total of 338 patients (7.3%) experienced CVEs during an average of 13403 person-years follow-up. Patients with NOCAD and OCAD had higher rates of CVEs compared to those with NNCA (p<0.05, respectively). In Cox's models after adjustment of confounders, the risk of CVEs elevated with the increasing degrees of CAD with hazard ratio of 2.01 [95% confidence interval (95% CI): 1.07–3.79, p=0.03] for patients with NOCAD and 2.81 (95% CI: 1.60–4.93, p<0.001) for patients with OCAD compared with the NNCA group. Moreover, elevated hs-CRP levels were associated with the severity of coronary lesions and an elevated increased risk of CVEs in patients with NOCAD and OCAD compared those with NNCA (p<0.05, respectively).
Conclusions
Patients with NOCAD had indeed worse outcomes and hs-CRP levels were positively in relation to the CVEs in those with NOCAD, which may help to the risk assessment in ones with NOCAD.
Acknowledgement/Funding
This study was partly supported by Capital Health Development Fund (201614035) and CAMS Innovation Fund for Medical Sciences (2016-I2M-1-011) awarded
Collapse
Affiliation(s)
- H W Zhang
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y X Cao
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J L Jin
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y L Guo
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Gao
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - C G Zhu
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Q Wu
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q T Dong
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Dong
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J J Li
- Fuwai Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
44
|
Liu H, Zhu CG, Cui CJ, Cao YX, Sun DI, Wu NQ, Guo YL, Gao Y, Dong QT, Santos RD. P650Lipopolysaccharide-nuclear factor-kappa B pathway and lipoprotein apheresis effects in patients with familial hypercholesterolemia and coronary artery disease. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz747.0257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Abstract
Background
Inflammation may play an important role in atherosclerosis in familial hypercholesterolemia (FH). Lipopolysaccharide (LPS)-nuclear factor-kappa B (NF-κB) pathway is a routine signal process activated in inflammatory status.
Purpose
This study aimed to examine the LPS-NF-κB axis status and the impact of lipoprotein apheresis (LA) on this pathway in patients with FH and coronary artery disease (CAD).
Methods
In this matched case-control study a genetically diagnosed FH cohort who presented stable CAD (n=63) was compared with 63 non-FH CAD and 63 non-FH non-CAD controls matched by sex and age. Plasma LPS levels and NF-κB activity were compared among the three groups. In addition, we studied in vitro LPS-induced interleukin-6 (IL-6) production by mononuclear cells from 16 FH cases without previous statin use and compared them with their respective matched control groups. Subsequently, these 16 FH patients underwent LA. Blood samples were taken immediately before and regularly after LA for measuring LPS and NF-κB.
Results
FH plus CAD had higher LPS levels and NF-κB activity than CAD and non-CAD controls (all p values <0.01). LPS-induced IL-6 production by mononuclear cells of FH plus CAD was also much higher compared with CAD and non-CAD controls (both p values <0.01). Moreover, plasma LPS levels (p<0.001) and NF-κB activity (p<0.01) were dramatically reduced after apheresis in FH patients.
Conclusion
Genetically confirmed FH patients with CAD had a marked activation of LPS-NF-κB axis, while LA significantly attenuated this key inflammatory pathway, suggesting that inflammation may be an important therapeutic target for FH patients.
Collapse
Affiliation(s)
- H Liu
- Fu Wai Hospital, Beijing, China
| | - C G Zhu
- Fu Wai Hospital, Beijing, China
| | - C J Cui
- Fu Wai Hospital, Beijing, China
| | - Y X Cao
- Fu Wai Hospital, Beijing, China
| | - D I Sun
- Fu Wai Hospital, Beijing, China
| | - N Q Wu
- Fu Wai Hospital, Beijing, China
| | - Y L Guo
- Fu Wai Hospital, Beijing, China
| | - Y Gao
- Fu Wai Hospital, Beijing, China
| | | | - R D Santos
- Heart Institute of the University of Sao Paulo (InCor), Sao Paulo, Brazil
| |
Collapse
|
45
|
Sun D, Cao YX, Li S, Guo YL, Wu NQ, Gao Y, Dong QT, Liu G, Dong Q, Li JJ. A modified algorithm with lipoprotein(a) added for diagnosis of familial hypercholesterolemia. Clin Cardiol 2019; 42:988-994. [PMID: 31436336 PMCID: PMC6788465 DOI: 10.1002/clc.23251] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 08/04/2019] [Accepted: 08/14/2019] [Indexed: 12/28/2022] Open
Abstract
Background Previous studies have observed that high level of lipoprotein (a) [Lp(a)] was common in the phenotypic familial hypercholesterolemia (FH) and may explain part of the clinical diagnosis of FH. Hypothesis We aim to develop a modified model including Lp(a) and compare its diagnostic performance with Dutch Lipid Clinic Network (DLCN) criteria. Methods Data of 10 449 individuals were utilized for the model establishment (7806 for derivation and 2643 for validation) from January 2011 to March 2018. The novel score model was modified on the basis of DLCN. Furthermore, 718 patients were screened for LDLR, APOB, and PCSK9 gene mutations. Results The novel modified model consisted of untreated low‐density lipoprotein cholesterol (LDL‐C) level, Lp(a), personal premature coronary heart disease (CHD), tendon xanthomas and family history of CHD and/or hypercholesterolemia. It has shown high discrimination (area under curve [AUC] 0.991, 95% confidence interval [CI[ 0.988‐0.994, P < .001) for distinguishing clinical FH from non‐FH diagnosed using DLCN. Furthermore, a concordance analysis was performed to compare the modified model with DLCN and it showed a good agreement with DLCN (κ = 0.765). External validation of the novel model also showed good accordance (κ = 0.700). Further genetic analysis showed that the agreements between the new model and mutation improved a little compared to that between DLCN and mutation. Conclusions The novel modified model, including Lp(a), could provide new insights into FH diagnosis in Chinese population with more concerns on the patients with high level of Lp(a).
Collapse
Affiliation(s)
- Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sha Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiu-Ting Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
46
|
Cao YX, Wang J. [Incipient observation of cornea astigmatism after combined cataract phacoemulsification and Callisto Eye-assisted arcuate keratotomy]. Zhonghua Yan Ke Za Zhi 2019; 55:502-508. [PMID: 31288353 DOI: 10.3760/cma.j.issn.0412-4081.2019.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To research the change of cornea astigmatism after combined cataract phacoemulsification and Callisto Eye-assisted arcuate keratotomy and to assess the effectiveness and safety of this surgery for improving patients' uncorrected visual acuity. Methods: Prospective interventional non-randomized controlled study. Consecutive cataract patients with cornea astigmatism greater than 0.75 D were recruited at the southern part of Beijing Tongren Hospital, Capital Medical University and Beijing Tongren Eye Center, between October 2017 and March 2018, and were divided into the experimental group and the controlled group. In the experimental group the patients are further divided into three subgroups of A(0.75-1.24 D), B(1.25-1.74 D) and C(≥1.75 D) according to the degrees of their cornea astigmatism before surgery. The combined cataract phacoemulsification and Callisto Eye-assisted arcuate keratotomy were performed for the experimental group with the depth and length of the corneal arcuate incision differing in subgroups, while only cataract phacoemulsification was performed for the control group. The complications on and after the surgery were observed and the change of cornea astigmatism and uncorrected visual acuity in three months after surgery were recorded. Independent sample t test was used for statistical analysis. Results: A total of 108 patients (108 eyes) were enrolled, including 46 males and 62 females, the age was (68±11) years old.The experimental group included 76 eyes of 76 patients (subgroup A 38 eyes, subgroup B 18 eyes, subgroup C 20 eyes). The controlled group included 32 eyes of 32 patients. The preoperative cornea astigmatism and postoperative cornea astigmatism of the experimental group are (1.54±0.90) D and 0.62 (0.36-0.95) D. The change of cornea astigmatism of the experimental group is (1.15±0.58) D. The index of correction and flattening are 0.97±0.20 and 0.61±0.31 respectively, the error of axial deviation is 9.55°±5.22°. The index of success is 0.51±0.36. In the experimental group, subgroup C has the highest correction efficiency of corneal astigmatism (axial deviation error 8.07°±3.13°, flattening index 0.72±0.31) which is followed by subgroup B, and subgroup A ranked the last one (axial deviation error 10.27°±6.47°, flattening index 0.42±0.30).The uncorrected distance visual acuity (logarithm of the minimum angle of resolution) of the experimental group and the control group are significantly different (0.15±0.12 vs. 0.24±0.17, t=-4.129, P<0.01). None of the patients recruited have complications including poor wound healing and cornea penetration and cornea edema and cystoid macular edema on or after the surgery. Conclusions: Combined cataract phacoemulsification and Callisto Eye-assisted arcuate keratotomy are of favorable effect on improving the uncorrected visual acuity and have relatively good accuracy and predictability on the correction of cornea astigmatism. It is a safe surgery with considerable efficency. (Chin J Ophthalmol, 2019, 55: 502-508).
Collapse
Affiliation(s)
- Y X Cao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Sciences Key Lab., Beijing 100730, China (is now working at the Department of Ophthalmology, the Eighth People's Hospital of Qingdao, Qingdao 266100, China)
| | | |
Collapse
|
47
|
Jin JL, Cao YX, Zhang HW, Sun D, Hua Q, Li YF, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Liu HH, Dong Q, Li JJ. Lipoprotein(a) and Cardiovascular Outcomes in Patients With Coronary Artery Disease and Prediabetes or Diabetes. Diabetes Care 2019; 42:1312-1318. [PMID: 31076417 DOI: 10.2337/dc19-0274] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Accepted: 04/09/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The aim of the current study is to determine the impact of elevated lipoprotein(a) [Lp(a)] on cardiovascular events (CVEs) in stable coronary artery disease (CAD) patients with different glucose metabolism status. RESEARCH DESIGN AND METHODS In this multicenter study, we consecutively enrolled 5,143 patients from March 2011 to February 2015. Patients were categorized according to status of glucose metabolism (diabetes mellitus [DM], pre-diabetes mellitus [pre-DM], and normal glucose regulation [NGR]) levels and further classified into 12 groups by Lp(a) levels. CVE end points included nonfatal acute myocardial infarction (MI), stroke, and cardiovascular mortality. All subjects were followed up for the occurrence of the CVEs. RESULTS During a median of 6.1 years' follow-up, 435 (8.5%) CVEs occurred. No significant difference in occurrence of CVEs was observed between NGR and pre-DM groups (hazard ratio 1.131 [95% CI 0.822-1.556], P > 0.05). When status of glucose metabolism was incorporated in stratifying factors, 30 ≤ Lp(a) < 50 mg/dL and Lp(a) ≥50 mg/dL were associated with significantly higher risk of subsequent CVEs in pre-DM (2.181 [1.099-4.327] and 2.668 [1.383-5.415], respectively; all P < 0.05) and DM (3.088 [1.535-5.895] and 3.470 [1.801-6.686], all P < 0.05). Moreover, adding Lp(a) to the Cox model increased the C-statistic by 0.022 and 0.029 in pre-DM and DM, respectively, while the C-statistic was not statistically improved when Lp(a) was included for CVEs prediction in NGR. CONCLUSIONS Our findings, for the first time, indicated that elevated Lp(a) levels might affect the prognosis in patients with pre-DM with stable CAD, suggesting that Lp(a) may help further stratify stable CAD patients with mild impaired glucose metabolism.
Collapse
Affiliation(s)
- Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Wen Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qi Hua
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan-Fang Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qiu-Ting Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui-Hui Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
48
|
Liu HH, Cao YX, Sun D, Jin JL, Zhang HW, Guo YL, Zhu CG, Wu NQ, Gao Y, Dong QT, Li JJ. High-sensitivity C-reactive protein and hypertension: combined effects on coronary severity and cardiovascular outcomes. Hypertens Res 2019; 42:1783-1793. [PMID: 31235846 DOI: 10.1038/s41440-019-0293-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 05/29/2019] [Accepted: 05/30/2019] [Indexed: 11/09/2022]
Abstract
High-sensitivity C-reactive protein (hsCRP), a marker of inflammation, can promote atherosclerosis and predict cardiovascular events. However, no data are currently available about the combined effects of hsCRP and hypertension on cardiovascular risk. This study sought to elucidate this matter. A total of 7325 consecutive patients with angina-like chest pain undergoing coronary angiography were evaluated, and 4291 patients with stable, newly diagnosed coronary artery disease (CAD) were enrolled. They were subdivided into three groups according to baseline hsCRP levels (<1, 1-3, and >3 mg/L) and further stratified by hypertension status. The severity of CAD was assessed by the Gensini score and number of diseased vessels. All participants were followed for the occurrence of cardiovascular events. The coronary severity and cardiovascular outcomes were compared among these groups. We observed 530 (12.35%) incident cardiovascular events over 14,210 person-years. Elevated hsCRP was associated with more severe coronary lesions (p < 0.05) and an elevated but nonsignificant increased risk of cardiovascular events (p > 0.05). When hypertension was included as a stratifying factor, both patients with high hsCRP and normal blood pressure and hypertensive patients with any level of hsCRP had more severe coronary lesions compared with the reference group with low hsCRP and normotension. However, compared with the reference group, the cardiovascular event risk was only significantly elevated in patients with high hsCRP and hypertension (p < 0.05). The combination of elevated hsCRP and hypertension greatly increased the cardiovascular risk in patients with stable, newly diagnosed CAD, supporting that hsCRP could be treated as a marker for stratification in high-risk patients.
Collapse
Affiliation(s)
- Hui-Hui Liu
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Ye-Xuan Cao
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Di Sun
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Jing-Lu Jin
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Hui-Wen Zhang
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Yuan-Lin Guo
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Cheng-Gang Zhu
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Na-Qiong Wu
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Ying Gao
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Qiu-Ting Dong
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Jian-Jun Li
- Department and Institution: Cardiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China.
| |
Collapse
|
49
|
Cao YX, Sun D, Liu HH, Jin JL, Li S, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Liu G, Dong Q, Li JJ. A Novel Modified System of Simplified Chinese Criteria for Familial Hypercholesterolemia (SCCFH). Mol Diagn Ther 2019; 23:547-553. [PMID: 31172370 DOI: 10.1007/s40291-019-00405-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND OBJECTIVE The most significant clinical implication of familial hypercholesterolemia (FH) is early-onset coronary artery disease (CAD), highlighting the importance of a definitive diagnosis being available. Unfortunately, the existing algorithms are complex and it is often difficult to obtain information on the patient's family history. Hence, we aimed to establish a novel system of Simplified Chinese Criteria for FH (SCCFH). METHODS We recruited 12,921 participants undergoing routine blood collection from November 2011 to June 2018. Clinical characteristics, laboratory examination, and genetic testing were obtained. FH was diagnosed based on the Simon Broome (SB) criteria, Dutch Lipid Clinic Network (DLCN) criteria, and SCCFH. The sensitivity, specificity, and agreement of SCCFH to these existing criteria were investigated. RESULTS Of 12,921 participants reviewed, the prevalence of definite FH was 223 (1.73%), 202 (1.56%), and 205 (1.59%) based on the DLCN, SB, and SCCFH approaches, respectively. Compared with the DLCN and SB criteria, the SCCFH showed high sensitivity (91.9% and 100%), high specificity (100% and 99.9%), and good agreement (κ = 0.958 and 0.993). Similar results were found in several relevant clinical subgroups. CONCLUSIONS The SCCFH system is comparable to the existing criteria with high levels of sensitivity and specificity, and is easier to use clinically. Further larger prospective studies are needed to evaluate the feasibility and reliability of this system.
Collapse
Affiliation(s)
- Ye-Xuan Cao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Di Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Hui-Hui Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing-Lu Jin
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Sha Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qiu-Ting Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
50
|
Jin JL, Sun D, Cao YX, Zhang HW, Guo YL, Wu NQ, Zhu CG, Gao Y, Dong QT, Liu G, Dong Q, Li JJ. IMPACT OF HYPERTENSION ON THE PREDICTIVE VALUE OF HEMOGLOBIN GLYCATION INDEX ON CARDIOVASCULAR OUTCOMES. J Am Coll Cardiol 2019. [DOI: 10.1016/s0735-1097(19)30880-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|