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Cai J, Zhang S, Wu R, Huang J. Association between depression and diabetes mellitus and the impact of their comorbidity on mortality: Evidence from a nationally representative study. J Affect Disord 2024; 354:11-18. [PMID: 38447915 DOI: 10.1016/j.jad.2024.03.003] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/16/2024] [Accepted: 03/03/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND Depression and diabetes mellitus (DM) are major chronic noncommunicable diseases that impair one's mental and physical well-being and impose substantial burdens on the health system. Depressed individuals have an increased risk of impaired blood glucose, weight gain and dyslipidemia which could induce poorer long-term survival. METHODS 37,040 individuals from the National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9) and classified by the total scores as no (0-4), mild (5-9), moderate (10-14), and severe (15-27). DM was determined based on self-reported medical history, clinical test results, and medication use. Logistic and Cox regression were the main statistical models. All analyses were based on weighted data from complex sampling. RESULTS The prevalence of DM was higher in depressed than non-depressed individuals (21.26 % vs. 13.75 %). The adjusted odds ratio (OR) (95 % CI) of comorbid DM increased with depression severity, from 1.00 (reference) for no depression, to 1.22 (1.09,1.36) for mild, 1.62 (1.37,1.92) for moderate, and 1.52(1.28,1.82) for severe depression. Comorbidity of DM and depression significantly associated with a higher risk of all-cause mortality, with a hazard ratio (HR) (95 % CI) = 2.09 (1.64,2.66). LIMITATIONS Dynamic demographic and metabolic data were not available. CONCLUSION Depression is associated with a higher risk of DM, which may be related to biological, socioeconomic, and medication-related factors. Comorbidity of the two worsens long-term survival. Therefore, blood glucose management and prevention of DM should be emphasized in depressed patients.
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Affiliation(s)
- Jingda Cai
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Songyan Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Wang H, Chen X, Lin F, Zheng J, Chen K, Wang X, Lin X, Chen X, Ye Q, Wang Y, Wu X, Cai G. Association between ethylene oxide levels and depressive symptoms: A cross-sectional study based on NHANES 2013-2018 database. J Affect Disord 2024; 348:135-142. [PMID: 38154580 DOI: 10.1016/j.jad.2023.12.050] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/29/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND AND AIM Ethylene oxide (EO) is a commonly used compound with known health risks. However, the specific association between EO exposure and the development of depressive symptoms has not been well established. Therefore, this study aimed to examine the potential association between EO exposure, as indicated by hemoglobin adduct of ethylene oxide (HbEO) levels, and the occurrence of depressive symptoms. METHODS We employed logistic regression, restricted cubic spline, and subgroup analysis to investigate the association between EO exposure and the occurrence of depressive symptoms. Additionally, we conducted a mediating effect analysis to explore the potential factors influencing the association between EO exposure and depressive symptoms. RESULTS Elevated HbEO levels were associated with the development of depressive symptoms. After adjusting for potential confounders, the highest quartile of HbEO levels showed an odds ratio (OR) of 3.37 [95 % confidence interval (CI): 1.87-6.10, P = 0.002] compared with the lowest quartile. Additionally, a linear association was observed between HbEO levels and the risk of depressive symptoms. We also revealed that the levels of several inflammatory factors and triglycerides mediated the association between EO exposure and the occurrence of depressive symptoms. CONCLUSIONS Higher levels of EO exposure were related to an increased risk of developing depressive symptoms. The analysis also suggested that the inflammatory response might play a mediating role in the pathway from EO exposure to depressive symptoms.
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Affiliation(s)
- Huaicheng Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China; Department of Neurosurgery, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China
| | - Jiayi Zheng
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Ke Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuefei Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuan Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xiaochun Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Yingqing Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
| | - Xilin Wu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
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Yang L, Wang M. Association of Systemic Immune-Inflammation Index With Stroke and Mortality Rates: Evidence From the NHANES Database. Neurologist 2024:00127893-990000000-00129. [PMID: 38409948 DOI: 10.1097/nrl.0000000000000561] [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] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
OBJECTIVE This study aimed to examine the association of the systemic immune-inflammation index (SII) with stroke and mortality rates using data from the National Health and Nutrition Examination Survey (NHANES). METHODS A cross-sectional study was conducted using the aggregated data from 5 cycles (2009 to 2018) of NHANES. SII was the independent variable, and stroke was the dependent variable. Weighted logistic regression models were employed to analyze their relationship. The nonlinear association between SII and stroke was examined using the restricted cubic spline (RCS) method in subgroups stratified by smoking status, hypertension, and dietary inflammatory index. Weighted Kaplan-Meier curves and Cox regression analysis were used to investigate the association of SII with all-cause mortality and cardiovascular disease (CVD) mortality. RESULTS A total of 22,107 samples were included in this study. Weighted logistic regression analysis showed a significant correlation between SII and stroke (OR: 1.53, 95% CI: 1.22-1.92, P<0.001). The stratified analysis revealed that interactions of smoking status and hypertension with SII, respectively, had significant impacts on stroke risk. A remarkable positive link between SII and stroke risk (OR>1, P<0.05) was observed in the crude model (unadjusted for confounding factors), model I (adjusted for demographic characteristics), and model II (adjusted for all confounding factors). RCS analysis displayed a remarkable nonlinear positive correlation between SII and stroke risk only in the "now smoking" population (P-nonlinear<0.05) after adjusting for all confounding factors. In the overall sample population, Kaplan-Meier curves indicated that individuals in the highest quartile of SII had the highest risk of all-cause mortality and CVD mortality (log-rank test P<0.05). Samples with proinflammatory dietary habits had considerably higher risks of all-cause mortality and CVD mortality compared with those with anti-inflammatory dietary habits (log-rank test P<0.05). Multivariable-adjusted Cox regression models showed significantly increased all-cause mortality and CVD mortality rates in the highest quartile of SII compared with the lowest quartile. CONCLUSIONS SII levels were considerably positively linked to stroke risk, particularly in the "now smoking" population. Moreover, elevated SII levels increased the risk of all-cause mortality and CVD mortality in the overall population. On the basis of these findings, we recommend incorporating smoking cessation measures into stroke risk reduction strategies.
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Affiliation(s)
- Lei Yang
- Department of Neurosurgery, First Affiliated Hospital of Xi'an Jiaotong University
- Department of Neurosurgery, The Second Affiliated Hospital of Xi'an Medical College, Xi 'an City, Shaanxi Province, China
| | - Maode Wang
- Department of Neurosurgery, First Affiliated Hospital of Xi'an Jiaotong University
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Jiang S, Wang Y, Wang Z, Xu Y, Li X, Sun M, Li B. Bisphenol A and its alternatives bisphenol S and F exposure with serum uric acid levels, hyperuricemia, and gout prevalence among US adults: a nationally representative cross-sectional study. BMC Public Health 2024; 24:370. [PMID: 38317153 PMCID: PMC10840165 DOI: 10.1186/s12889-024-17883-6] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 01/24/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Recent studies suggested inconclusive associations between bisphenols exposure and hyperuricemia risk. Our objective was to assess the potential association of bisphenol A (BPA) and its substitutes bisphenol S and F (BPS and BPF) exposure with serum uric acid (SUA) levels, hyperuricemia, and gout prevalence among US adults within the NHANES 2013-2016 datasets. METHODS Multivariable linear and logistic regression models were used to explore the associations of urinary bisphenols concentrations with SUA levels, hyperuricemia, and gout prevalence, in total population and different sex groups. The restricted cubic spline (RCS) model was used to explore the dose-response relationship. RESULTS In total population, doubling of urinary BPS and ∑BPs concentrations showed associations with an increase of 2.64 μmol/L (95% CI: 0.54, 4.74) and 3.29 μmol/L (95% CI: 0.59, 5.99) in SUA levels, respectively. The RCS model indicated a significantly "J"-shaped dose-response relationship between BPS exposure and SUA levels. Compared to the reference group of urinary BPS, males in the highest quartile displayed a 13.06 μmol/L (95% CI: 0.75, 25.37) rise in SUA levels. For females, doubling of urinary BPS concentrations was associated with a 3.30 μmol/L (95% CI: 0.53, 6.07) increase in SUA levels, with a significant linear dose-response relationship. In total population, doubling of urinary BPA concentrations showed a 1.05-fold (95% CI: 0.97, 1.14) adjusted risk of having hyperuricemia, with an inverted "U" curve. Doubling of urinary ∑BPs concentrations was associated with a 1.05-fold (95% CI: 0.96, 1.14) adjusted risk of hyperuricemia in total population, with a significant monotonic dose-response relationship. In females, doubling of urinary BPS concentrations was associated with a 1.45-fold (95% CI: 1.01, 2.08) adjusted increased risk of having gout, with a "J" shaped relationship. CONCLUSIONS BPA and BPS exposure to some extent were associated with elevated SUA levels and increased risk of hyperuricemia, with different dose-response relationships and sex differences.
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Affiliation(s)
- Shunli Jiang
- Department of Public Health, Jining Medical University, Jining, Shandong, China.
| | - Yongxin Wang
- Department of Neurosurgery Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Zengliang Wang
- Department of Neurosurgery Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Yaru Xu
- Jining Center for Disease Control and Prevention, Shandong, China
| | - Xi Li
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, Jining, China
| | - Mingjia Sun
- Department of Public Health, Jining Medical University, Jining, Shandong, China
| | - Bo Li
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, Jining, China.
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Qi X, Wang S, Huang Q, Chen X, Qiu L, Ouyang K, Chen Y. The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and risk of depression among US adults: A cross-sectional NHANES study. J Affect Disord 2024; 344:451-457. [PMID: 37838268 DOI: 10.1016/j.jad.2023.10.064] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 10/02/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND NHHR (non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio) is a new lipid parameter used to assess the risk of cardiovascular disease. However, the association between NHHR and the risk of depression has not been studied before. METHODS We conducted a cross-sectional study using datasets from the National Health and Nutrition Examination Survey (NHANES) 2005-2016. The PHQ-9 questionnaire was used to evaluate depression. A weighted multivariable logistic regression model and a restricted cubic spline (RCS) model were applied to investigate the association between NHHR and depression risk. Additionally, subgroup and sensitivity analyses were conducted to test the robustness of the results. RESULTS In the total population, compared with the lowest reference group of NHHR, participants in the fourth quartile had a significantly increased risk of depression after full adjustments (OR: 1.61, 95%CI: 1.05-2.49). A linear dose-response relationship existed between NHHR and depression risk (P non-linearity = 0.264). The association remained significant in several subgroup analyses. LIMITATIONS The cross-sectional design and use of self-reported scales. CONCLUSION NHHR was significantly associated with a higher risk of depression in U.S. adults. Additional research on NHHR would help in depression prevention and treatment.
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Affiliation(s)
- Xiaoyi Qi
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China; Medical College, Shantou University, Shantou, China
| | - Shijia Wang
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Qianwen Huang
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Xiongbiao Chen
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Liangxian Qiu
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Kunfu Ouyang
- Department of Cardiovascular Surgery, Peking University Shenzhen Hospital, School of Chemical Biology and Biotechnology, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Yanjun Chen
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
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Xiong YJ, Du LL, Diao YL, Wen J, Meng XB, Gao J, Shao CL, Wang WY, Zhu XY, Tang YD. Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population. J Transl Med 2023; 21:538. [PMID: 37573314 PMCID: PMC10422799 DOI: 10.1186/s12967-023-04398-8] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 07/29/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND Limited research has been conducted on the potential relationship between the dietary inflammation index (DII) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study aimed to investigate the association between the DII and H. pylori infection, as well as their respective impacts on all-cause mortality in a cohort of individuals with or without H. pylori infection. METHODS Data from the 1999-2018 National Health and Nutrition Examination Survey (NHANES) were utilized for this study, with a final of 4370 participants included. Both univariable and multivariable-adjusted logistic regression analyses were employed to explore the relationship between H. pylori infection and pertinent covariates. Cox regression analysis, as well as restricted regression cubic spline analysis, were utilized to assess the association between DII and all-cause mortality among individuals with or without H. pylori infection. RESULTS The findings demonstrated a positive correlation between DII scores and H. pylori infection, even after adjusting for potential confounding factors. Moreover, higher DII scores were significantly associated with an elevated risk of mortality exclusively in individuals with H. pylori infection, while no such association was observed in the uninfected population. Additional analysis using restricted cubic spline modeling revealed a positive linear relationship between DII scores as a continuous variable and the adjusted risk of all-cause mortality specifically in H. pylori-infected patients. CONCLUSION The results of this study indicated that DII was positively correlated with an increased risk of H. pylori infection and was associated with a heightened risk of all-cause mortality solely in individuals with H. pylori infection. Consequently, DII might serve as a useful tool for risk stratification in the H. pylori-infected population among U.S. adults. Further research is warranted to elucidate the underlying mechanisms and potential clinical implications of these findings.
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Affiliation(s)
- Yu-Jun Xiong
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China, 100370
| | - Lei-Lei Du
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, 95 Yongan Road, Beijing, 100050, China
| | - Yun-Lian Diao
- Department of Respiratory and Critical Care Medicine, Jiangxi Institute of Respiratory Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Wen
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China
| | - Xiang-Bin Meng
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China
| | - Jun Gao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China
| | - Chun-Li Shao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China
| | - Wen-Yao Wang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China
| | - Xing-Yun Zhu
- Department of Endocrinology, Beijing Jishuitan Hospital, No. 31, East Xinjiekou Street, Xicheng District, 100035, Beijing, People's Republic of China
| | - Yi-Da Tang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, No. 49 Huayuanbei Road, BeijingBeijing, 100191, China.
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