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Te Hoonte F, Spronk M, Sun Q, Wu K, Fan S, Wang Z, Bots ML, Van der Schouw YT, Uijl A, Vernooij RWM. Ideal cardiovascular health and cardiovascular-related events: a systematic review and meta-analysis. Eur J Prev Cardiol 2024; 31:966-985. [PMID: 38149986 DOI: 10.1093/eurjpc/zwad405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
AIMS The aim of this study was to systematically review and quantitatively summarize the evidence on the association between Life Simple's 7 (LS7) and multiple cardiovascular diseases (CVDs) and cardiometabolic diseases (CMDs). METHODS AND RESULTS EMBASE and PubMed were searched from January 2010 to March 2022 for observational studies that investigated the association between ideal cardiovascular health (CVH) with CVD or CMD outcomes in an adult population. Two reviewers independently selected studies according to the eligibility criteria, extracted data, and evaluated risk of bias. Data were analysed with a random-effects meta-analysis. This meta-analysis included 59 studies (1 881 382 participants). Participants with ideal CVH had a considerably lower risk of a variety of CVDs and CMDs as compared with those with poor CVH, varying from 40% lower risk for atrial fibrillation (AF) {hazard ratio [HR] = 0.60 [95% confidence interval (CI) 0.44-0.83]} to 82% lower risk for myocardial infarction [HR = 0.18 (95% CI 0.12-0.28)]. Intermediate CVH was associated with 27-57% lower risk in CVDs and CMDs compared with poor CVH, with the highest hazard for AF [HR = 0.73 (95% CI 0.59-0.91)] and the lowest hazard for peripheral arterial disease [HR = 0.43 (95% CI 0.30-0.60)]. CONCLUSION Ideal and moderate CVH were associated with a lower incidence of CVDs and CMDs than poor CVH. Life Simple's 7 holds significant potential for promoting overall CVH and thereby contributing to the prevention of CVDs.
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Affiliation(s)
- Femke Te Hoonte
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Merve Spronk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Qi Sun
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kangrui Wu
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Shiqi Fan
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ziyi Wang
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Yvonne T Van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Alicia Uijl
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Cardiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Robin W M Vernooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Alizadeh F, Tohidi M, Hasheminia M, Hosseini-Esfahani F, Azizi F, Hadaegh F. Association of ideal cardiovascular health metrics with incident low estimated glomerular filtration rate: More than a decade follow-up in the Tehran Lipid and Glucose Study (TLGS). PLoS One 2024; 19:e0282773. [PMID: 38300917 PMCID: PMC10833558 DOI: 10.1371/journal.pone.0282773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 02/18/2023] [Indexed: 02/03/2024] Open
Abstract
AIMS To evaluate the association between ideal cardiovascular health metrics (ICVHM) and incident low estimated glomerular filtration rate (eGFR) among the Iranian population. METHODS The study population included 6927 Iranian adults aged 20-65 years (2942 male) without prevalent low eGFR [i.e., eGFR < 60 ml/min/1.73 m2] and free of cardiovascular disease. The ICVHM was defined according to the 2010 American Heart Association. The multivariable Cox proportional hazards regression analysis was used to calculate the hazard ratios (HRs) of ICVHM both as continuous and categorical variables. RESULTS Over the median of 12.1 years of follow-up, we found 1259 incident cases of low eGFR among the study population. In this population, ideal and intermediate categories of body mass index (BMI) and blood pressure (BP) and only the ideal category of fasting plasma glucose (FPG) significantly decreased the risk of developing low eGFR; the corresponding HRs and (95% confidence intervals) were (0.87, 0.77-0.99), (0.84, 0.76-0.99), (0.79, 0.68-0.93), (0.70, 0.60-0.83) and (0.76, 0.64-0.91). Also, one additional ICVHM was associated with a reduced risk of low eGFR for the global (0.92, 0.88-0.97) and biological cardiovascular health (0.88, 0.82-0.93) in these participants. A sensitivity analysis using the interval-censoring approach demonstrated that our method is robust, and results remained essentially unchanged. In a subgroup population with dietary data (n = 2285), we did not find the beneficial impact of having intermediate/ideal categories of nutrition status compared to its poor one on incident low eGFR. CONCLUSION We found a strong inverse association between having higher global ICVHM with incident low eGFR among the non-elderly Iranian population; the issue is mainly attributable to normal BP, BMI, and FPG levels.
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Affiliation(s)
- Fatemeh Alizadeh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Huang J, Xin Z, Cao Q, He R, Hou T, Ding Y, Lu J, Wang T, Zhao Z, Xu Y, Wang W, Ning G, Xu M, Wang L, Li M, Bi Y. Association between updated cardiovascular health construct and risks of non-alcoholic fatty liver disease. Nutr Metab Cardiovasc Dis 2024; 34:317-325. [PMID: 38000998 DOI: 10.1016/j.numecd.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/08/2023] [Accepted: 09/19/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND AND AIMS The American Heart Association (AHA) updated the construct and algorithm of cardiovascular health (CVH) recently. We aimed to explore the relationship between the new CVH score and the development of non-alcoholic fatty liver disease (NAFLD). METHODS AND RESULTS 3266 adults free of NAFLD identified via ultrasound were recruited in this prospective study. A modified AHA "Life's Essential 8" (mLE8, i.e., physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure) were collected to evaluate the CVH score. Then participants were categorized into low, moderate, and high CVH subgroups based on overall mLE8 CVH score. According to modified Life's Simple 7 (mLS7) CVH construct, participants were also subdivided into poor, intermediate, and ideal CVH subgroups. During a median 4.3 years follow-up, 623 incident cases of NAFLD were recorded. Compared to those with high CVH, participants with low CVH (adjusted OR = 2.56, 95% CI 1.55-4.24) and moderate CVH (adjusted OR = 1.83, 95% CI 1.17-2.85) had a significantly increased risk of incident NAFLD. Participants with poor CVH (mLS7) but without low CVH (mLE8) did not show a significant elevated risk of incident NAFLD (P = 0.1053). A significant trend was found between increased changes in mLE8 score and a lower risk of NAFLD occurrence. CONCLUSION Our findings suggested high mLE8 CVH score was associated with a lower risk of NAFLD incidence. The new CVH construct showed a more reasonable classification of CVH status and was more robust in association with NAFLD risks compared with the original one.
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Affiliation(s)
- Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixin He
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhichao Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Long Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Li J, An Y, Wang T, Guo P, Chen S, Liu B, Liu H. Relationship between ideal cardiovascular health score and perioperative acute kidney injury: A case-control study. Clin Cardiol 2024; 47:e24159. [PMID: 37724637 PMCID: PMC10766002 DOI: 10.1002/clc.24159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/03/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Maintaining ideal cardiovascular health scores (CHS) may indirectly contribute to reducing the risk of perioperative acute kidney injury (AKI), which has never been explored previously. In this study, we aimed to explore the relationship between CHS and AKI and provide new ideas for AKI prevention and treatment. METHODS We examined the effects of CHS on the occurrence of AKI among 2783 participants from the Kailuan study, who received general anesthesia during noncardiac surgery from 2016 to 2020. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for AKI were calculated by using the logistic regression. RESULTS Among 2783 participants 187 were diagnosed with perioperative AKI. We found an inverse relationship between the CHS scores and the risk of AKI. Participants with CHS score ≥ 10 had 57% decreased risk of AKI (OR = 0.43, 95% CI = 0.23, 0.79), compared with participants with CHS score ≤ 7, especially in men (OR = 0.39, 95% CI: 0.20, 0.76). In addition, participants who never smoked, exercised frequently, and had normal blood pressure had decreased risk of AKI, with corresponding ORs (95% CIs) of 0.66 (0.47, 0.91), 0.73 (0.60, 0.92), and 0.46 (0.28, 0.75), respectively. CONCLUSIONS CHS was strongly associated with the risk of perioperative AKI, and higher CHS scores were associated with a lower risk of AKI. Further research is needed to explore the long-term effects of achieving and maintaining an ideal CHS on AKI risk.
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Affiliation(s)
- Jin‐Qiu Li
- Department of AnesthesiologyKailuan General HospitalTangshanChina
| | - Yuan An
- Operating TheatreKailuan General HospitalTangshanChina
| | - Tai Wang
- Department of AnesthesiologyKailuan General HospitalTangshanChina
| | - Ping‐Xuan Guo
- Department of AnesthesiologyKailuan General HospitalTangshanChina
| | - Shuo‐Hua Chen
- Department of CardiologyKailuan General HospitalTangshanChina
| | - Bing‐Bing Liu
- Department of AnesthesiologyKailuan General HospitalTangshanChina
| | - Hai Liu
- Department of AnesthesiologyKailuan General HospitalTangshanChina
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Liu P, Li J, Yang L, Zhang Z, Zhao H, Zhao N, Ou W, Zhang Y, Chen S, Wang G, Zhang X, Wu S, Yang X. Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease. Front Endocrinol (Lausanne) 2023; 14:1269580. [PMID: 38155948 PMCID: PMC10753577 DOI: 10.3389/fendo.2023.1269580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023] Open
Abstract
Objective The ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD. Methods Our study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it's progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR. Results After a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362-1.617), 1.643 (1.457-1.852), and 1.324 (1.179-1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164-1.534), 1.428 (1.216-1.677), and 1.446 (1.267-1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value. Conclusion High cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.
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Affiliation(s)
- Peipei Liu
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Junjuan Li
- Department of Nephrology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Ling Yang
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Zihao Zhang
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Hua Zhao
- Hebei Key Laboratory for Chronic Diseases, Tangshan Key Laboratory for Preclinical and Basic Research on Chronic Diseases, School of Basic Medical Sciences, North China University of Science and Technology, Tangshan, Hebei, China
| | - Naihui Zhao
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Wenli Ou
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yinggen Zhang
- Department of Nuclear Medicine, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Guodong Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xiaofu Zhang
- Hebei Key Laboratory for Chronic Diseases, Tangshan Key Laboratory for Preclinical and Basic Research on Chronic Diseases, School of Basic Medical Sciences, North China University of Science and Technology, Tangshan, Hebei, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xiuhong Yang
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
- Hebei Key Laboratory for Chronic Diseases, Tangshan Key Laboratory for Preclinical and Basic Research on Chronic Diseases, School of Basic Medical Sciences, North China University of Science and Technology, Tangshan, Hebei, China
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Zhang Y, Ning N, Fan X, Huang R, Ye Y, He Y, Ma Y, Jin L. Age-dependent interaction between Life's Essential 8 and chronic kidney disease: A national cross-sectional analysis. Prev Med 2023; 177:107763. [PMID: 37939906 DOI: 10.1016/j.ypmed.2023.107763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Chronic kidney disease (CKD), an age-related condition, is closely associated with cardiovascular disease. We aimed to examine the age-dependent interaction between Life's Essential 8 (LE8), the updated measurement of cardiovascular health (CVH), and CKD in the United States. METHODS The cross-sectional study involved 25,529 participants from National Health and Nutrition Examination Survey in 2007-2018. Multivariate logistic regressions were used to estimate the age-dependent interaction between LE8 and CKD, and restricted cubic spline regressions were used to analyze the dose-response relationships between LE8 and CKD among adults and all age subgroups. RESULTS Overall, 2934 (9.3%), 17,278 (66.2%), and 5317 (24.5%) participants had low, moderate, and high CVH, separately. After adjusting for the potential covariates, LE8 was negatively associated with CKD [odds ratio (OR) for per 1 standard deviation (SD) increase and 95%CI, 0.71 (0.67, 0.75)], with a nonlinear dose-response relationship (P for nonlinearity = 0.001). The inversed association was stronger among participants aged 65 and older (0.65 (0.59, 0.71)) compared to youngers [20-39 years, 0.63 (0.59, 0.58), 40-64 years, 0.63 (0.59, 0.58)] (P for interaction = 0.002). CONCLUSIONS CVH, as measured by the LE8 score, was negatively associated with the presence of CKD in non-linear fashions, more pronounced in participants aged 65 and older compared to younger age groups.
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Affiliation(s)
- Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Ning Ning
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Rong Huang
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Yan Ye
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
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Liu P, Wang Y, Zhang X, Zhang Z, Zhao N, Ou W, Wang G, Yang X, Li M, Zhang Y, Yang X, Wu S. Obesity and Cardiac Conduction Block Disease in China. JAMA Netw Open 2023; 6:e2342831. [PMID: 37955899 PMCID: PMC10644217 DOI: 10.1001/jamanetworkopen.2023.42831] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 09/29/2023] [Indexed: 11/14/2023] Open
Abstract
Importance Although a high body mass index (BMI) has been found to be associated with increased risk of cardiac conduction block (CCB) in older adults, no further studies have investigated the association between obesity and CCB in the general population. Objective To investigate the association between obesity and CCB, including its subtypes. Design, Setting, and Participants This cohort study used data from participants in the Kailuan Study in China (2006-2018) who had completed a physical examination in 2006 (baseline) and had not experienced CCB before baseline. Data analysis was conducted from March to September 2023. Exposures Obesity status was defined by BMI in 3 groups: normal weight (18.5 to <24), overweight (24 to <28), and obesity (≥28). Main Outcome and Measures The primary outcome was CCB, which was diagnosed from standard 12-lead electrocardiography. The primary end point included high-grade atrioventricular block (HAVB), complete right bundle branch block, complete left bundle branch block, left anterior fascicular block (LAFB), and left posterior fascicular block. First-degree atrioventricular block (FAVB), second-degree type 1 AVB, HAVB, complete and incomplete right and left bundle branch block, LAFB, and left posterior fascicular block were considered separately as secondary end points. Results Among 86 635 participants (mean [SD] age, 50.8 [11.9] years; 68 205 males [78.7%]), there were 33 259 individuals with normal weight (38.4%), 37 069 individuals with overweight (42.8%), and 16 307 individuals with obesity (18.8%). The mean (SD) follow-up was 10.6 (3.07) years. In the multivariable Cox proportional hazards regression analysis, obesity was associated with an increased risk of incident CCB (hazard ratio [HR], 1.21; 95% CI, 1.04-1.42) vs normal BMI. In secondary analysis, obesity was associated with an increased risk of FAVB (HR, 1.44; 95% CI, 1.21-1.73), HAVB (HR, 1.99; 95% CI, 1.03-3.82), and LAFB (HR, 1.29; 95% CI, 1.03-1.62) vs normal BMI. There was no association between obesity and other CCB subtypes. Obesity was associated with a greater increase in risk of CCB vs normal BMI in older (aged ≥65 years; HR, 1.44; 95% CI, 1.05-1.96) vs younger (aged <65 years; HR, 1.13; 95% CI, 0.96-1.34) participants (P for interaction < .001) and those with diabetes (HR, 2.16; 95% CI, 1.24-3.76) vs without diabetes (HR, 1.19; 95% CI, 1.02-1.39) (P for interaction = .02). Conclusions and Relevance This study found that obesity was associated with an increased risk of CCB, with greater increases in risk for FAVB, HAVB, and LAFB. Individuals who were older and those who had diabetes had larger increases in risk.
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Affiliation(s)
- Peipei Liu
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Yanxiu Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xiaofu Zhang
- Hebei Key Laboratory for Chronic Diseases, Tangshan Key Laboratory for Preclinical and Basic Research on Chronic Diseases, School of Basic Medical Sciences, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Zihao Zhang
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - NaiHui Zhao
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Wenli Ou
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Guodong Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xuemei Yang
- School of Clinical Medicine, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Man Li
- School of Clinical Medicine, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Yaya Zhang
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Xiuhong Yang
- School of Public Health, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
- Hebei Key Laboratory for Chronic Diseases, Tangshan Key Laboratory for Preclinical and Basic Research on Chronic Diseases, School of Basic Medical Sciences, North China University of Science and Technology, Caofeidian Eco-city, Tangshan, Hebei, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1469] [Impact Index Per Article: 1469.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Armas-Padrón AM, Sicilia-Sosvilla M, Rodríguez-Bello S, López-Carmona MD, Ruiz-Esteban P, Hernández D. Abnormal ankle-brachial index, cardiovascular risk factors and healthy lifestyle factors in hypertensive patients: prospective cohort study from a primary care urban population. BMC PRIMARY CARE 2022; 23:232. [PMID: 36085011 PMCID: PMC9463763 DOI: 10.1186/s12875-022-01837-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/30/2022] [Indexed: 11/24/2022]
Abstract
Background Peripheral arterial disease (PAD) and arterial stiffness (AS) may be hypertension-mediated vascular lesions. Both are determined by an abnormal ankle-brachial index (ABI) and are predictors of cardiovascular disease (CVD) and mortality. We assessed the relationship in urban hypertensive patients between an abnormal ABI and an ideal cardiovascular health (CVH) score, plus other healthy factors, with unfavourable outcomes. Methods We studied 243 hypertensive patients from a primary care urban population, followed for two years. Clinical data, comorbid conditions, including hypertension-mediated organ damage (HMOD) and hypertension-related comorbidities (HRC), hospitalizations and mortality were also recorded. Results A low prevalence of ideal CVH was observed in urban hypertensive patients. The ABI ≤ 0.9 group (n = 16) showed a higher proportion of prior CVD other than PAD, mortality and hospitalizations than the ABI > 1.4 group (n = 41), and a poorer lipid, metabolic and renal profile. An inverse relationship between CVH score and ABI ≤ 0.9 and unfavourable outcomes (HMOD, HRC, death or hospitalization) was observed. Chronic kidney disease (CKD) and diabetes were independently associated with an ABI ≤ 0.9. Age, sex, diabetes, CKD, ABI ≤ 0.9 and ideal cholesterol were also associated with outcomes, but not other CVH metrics. Conclusions Besides a low prevalence of ideal CVH, an inverse relationship between CVH score and ABI ≤ 0.9 and unfavourable outcomes was observed in hypertensive patients from an urban population. Stronger efforts to promote ideal CVH may improve outcomes in this particular population. Supplementary Information The online version contains supplementary material available at 10.1186/s12875-022-01837-1.
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Delsart P, Lemaitre M, Vambergue A, Ninni S, Bauters C, Ledieu G, Eymard DF, Baudoux F, Le Chevalier De Preville A, Sobocinski J, Montaigne D, Mounier-Vehier C. Prognostic significance of reverse dipping status on lower limb event in type 2 diabetic patients without peripheral arterial disease. Acta Diabetol 2022; 59:843-850. [PMID: 35333978 DOI: 10.1007/s00592-022-01879-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 03/08/2022] [Indexed: 11/01/2022]
Abstract
AIMS We assessed reverse dipping influence on the risk of lower limb events in type 2 diabetic patients without peripheral arterial disease. METHODS Patients with type 2 diabetes addressed for cardiovascular risk stratification in our university hospital from 2008 to 2012 underwent 24 h blood pressure monitoring. Patients with a prior history of limb revascularization or with a stenosis > 50% of the legs were excluded. Reverse dipping was defined as a greater night-versus day-time systolic blood pressure. The endpoint was the first occurrence of lower limb revascularization or limb amputation. Hazard ratios (HRs) and 95% confidence intervals were calculated using the Cox model. RESULTS Two hundred and eighty-one patients were included. During a median follow-up of 9.4 [7.7-10.6] years, 20 lower limb events and 45 all-cause deaths were observed. Thirty-five patients were reverse dippers. The reverse dipping status was associated with lower limb events when considering all-cause death as a competitive risk, (HR 3.61 [1.16-11.2], P = 0.026). Reverse dipping, HbA1C and proteinuria were independently associated with lower limb outcome in a multivariable analysis (respectively HR 4.09 [1.29-12.9], P = 0.017, HR 1.30 [1.04-1.63], P = 0.022 and HR 1.06 [1.02-1.11], P = 0.001). CONCLUSIONS Reverse dipping status is independently associated with worse limb outcome in type 2 diabetic patients.
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Affiliation(s)
- Pascal Delsart
- CHU Lille, Vascular Medicine and Hypertension Department, Institut Cœur Poumon, Boulevard Pr Leclercq, 59000, Lille, France.
| | - Madleen Lemaitre
- Endocrinology, Diabetology and Metabolism, CHU Lille, 59000, Lille, France
| | - Anne Vambergue
- Endocrinology, Diabetology and Metabolism, CHU Lille, 59000, Lille, France
| | - Sandro Ninni
- Inserm U1011, CHU Lille, Institut Pasteur de Lille, EGID, Univ. Lille, 59000, Lille, France
| | - Christophe Bauters
- Inserm U1167, CHU Lille, Institut Pasteur, Univ. Lille, 59000, Lille, France
| | - Guillaume Ledieu
- CHU Lille, Vascular Medicine and Hypertension Department, Institut Cœur Poumon, Boulevard Pr Leclercq, 59000, Lille, France
| | - Diane-Flore Eymard
- CHU Lille, Vascular Medicine and Hypertension Department, Institut Cœur Poumon, Boulevard Pr Leclercq, 59000, Lille, France
| | - Florence Baudoux
- Endocrinology, Diabetology and Metabolism, CHU Lille, 59000, Lille, France
| | | | | | - David Montaigne
- Inserm U1011, CHU Lille, Institut Pasteur de Lille, EGID, Univ. Lille, 59000, Lille, France
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2640] [Impact Index Per Article: 1320.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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12
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3187] [Impact Index Per Article: 1062.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation 2020; 141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Citation(s) in RCA: 4939] [Impact Index Per Article: 1234.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals. RESULTS Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Microvascular retinal changes in pre-clinical diabetic retinopathy as detected by optical coherence tomographic angiography. Graefes Arch Clin Exp Ophthalmol 2020; 258:513-520. [PMID: 31897704 DOI: 10.1007/s00417-019-04590-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 12/13/2019] [Accepted: 12/23/2019] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To investigate microvascular abnormalities in diabetic patients without conventional clinical signs of diabetic retinopathy (DR). METHODS In this cross-sectional observational cohort study, the study group included randomly chosen participants of a community-based cohort with diabetes type 2 without DR, and the control group consisted of non-diabetic individuals from a population-based study. All participants underwent optical coherence tomographic angiography (OCTA). RESULTS Upon OCTA, 118 (40.4%) eyes of the study group (n = 292 eyes) showed microvascular abnormalities including foveal avascular zone erosion (95 (32.5%) eyes), non-perfusion areas in the superficial and deep retinal layers (39 (13.4%) eyes and 19 (6.5%) eyes, respectively), and microaneurysms in the superficial and deep retinal layers (22 (7.5%) eyes and 31 (10.6%) eyes, resp.). None of these abnormalities was detected in the control group (n = 80). The study group showed a lower vessel density in the superficial retinal vascular layer in all regions except for the foveal region (P < 0.001), and higher vessel density in the parafoveal region in the deep retinal vascular layer (P = 0.01). Higher diabetes prevalence was associated with lower superficial retinal vascular density (P = 0.005) in multivariable analysis. A lower radial peripapillary capillary flow density was correlated (regression coefficient r, 0.62) with higher fasting blood concentration of glucose (P < 0.001) in multivariable analysis. CONCLUSIONS OCTA revealed microvascular abnormalities in 40% of eyes of diabetic patients without ophthalmoscopically detectable diabetic fundus changes in a community-based population. The early stage of DR may be re-defined upon OCTA.
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Citation(s) in RCA: 5419] [Impact Index Per Article: 1083.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Hou J, Li J, Huang J, Lu C, Zhou J, Liu Y, Wu S, Wei F, Wang L, Chen H, Yu H, Wang Z, Jiang A. Relationship between the exposure to cumulative cardiovascular health behaviors and factors and chronic kidney disease-The Kailuan study. PLoS One 2018; 13:e0203171. [PMID: 30169509 PMCID: PMC6118362 DOI: 10.1371/journal.pone.0203171] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 08/15/2018] [Indexed: 11/19/2022] Open
Abstract
It is unclear whether ideal cardiovascular health (CVH) behaviors and factors, particularly cumulative exposure to ideal CVH (cumCVH), is associated with chronic kidney disease (CKD). The aim of the study was to examine the effect of cumCVH on CKD using the data from the Kailuan study. The study included the 27,970 (21,199 males) of the Kailuan community (China). The participants were 19 to 98 years of age. They were followed in 2008-2009, 2010-2011, and 2012-2013 by the same medical staff that did the initial physical examinations in 2006-2007. Participants were censored on the visit reporting CKD. A CVH score was created based on the seven AHA health metrics. The cumCVH score was CVH1×timev1-v2+CVH2×timev2-v3+CVH3×timev3-v4. In the fully adjusted model, compared with the lowest quintile of cumCVH, individuals in the highest quintile had a 75% lower risk of CKD (95% confidence interval (CI): 66-82%). Every additional year lived with a 1-unit increase in ideal CVH was associated with an 11% (95% CI: 9-13%) reduction in the incidence of CKD. Furthermore, when we excluded each of the six metrics from the cumCVH score in turn, the association was unaffected after the exclusion of individual risk factors. Ideal CVH is associated with a reduced incidence of CKD. Measurements of cumCVH are more likely to reflect the lifetime risk of CKD and possibly of other health outcomes.
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Affiliation(s)
- Jinhong Hou
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Junjuan Li
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Jinjie Huang
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Chunhong Lu
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Jing Zhou
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Yang Liu
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
- * E-mail: (ALJ); (SLW)
| | - Fang Wei
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
| | - Lihua Wang
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
| | - Haiyan Chen
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
| | - Haibo Yu
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
| | - Zhe Wang
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
| | - Aili Jiang
- Kidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China
- * E-mail: (ALJ); (SLW)
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Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation 2018; 137:e67-e492. [PMID: 29386200 DOI: 10.1161/cir.0000000000000558] [Citation(s) in RCA: 4559] [Impact Index Per Article: 759.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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