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Zhang F, Yu Z. Mendelian randomization study on insulin resistance and risk of hypertension and cardiovascular disease. Sci Rep 2024; 14:6191. [PMID: 38485964 PMCID: PMC10940700 DOI: 10.1038/s41598-023-46983-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/07/2022] [Indexed: 03/18/2024] Open
Abstract
Observational studies have suggested that insulin resistance (IR) is associated with hypertension and various cardiovascular diseases. However, the presence of a causal relationship between IR and cardiovascular disease remains unclear. Here, we applied Mendelian randomization (MR) approaches to address the causal association between genetically determined IR and the risk of cardiovascular diseases. Our primary genetic instruments comprised 53 SNPs associated with IR phenotype from a GWAS of up to 188,577 participants. Genetic association estimates for hypertension and venous thromboembolism (VTE) were extracted from UK Biobank, estimates for atrial fibrillation (AF) were extracted from the hitherto largest GWAS meta-analysis on AF, estimates for heart failure were extracted from HERMES Consortium, estimates for peripheral artery disease (PAD) and aortic aneurysm were extracted from the FinnGen Study. The main analyses were performed using the random-effects inverse-variance weighted approach, and complemented by sensitivity analyses and multivariable MR analyses. Corresponding to 55% higher fasting insulin adjusted for body mass index, 0.46 mmol/L lower high-density lipoprotein cholesterol and 0.89 mmol/L higher triglyceride, one standard deviation change in genetically predicted IR was associated with increased risk of hypertension (odds ratio (OR) 1.06, 95% CI 1.04-1.08; P = 1.91 × 10-11) and PAD (OR 1.90, 95% CI 1.43-2.54; P = 1.19 × 10-5). Suggestive evidence was obtained for an association between IR and heart failure (OR per SD change in IR: 1.19, 95% CI 1.01-1.41, P = 0.041). There was no MR evidence for an association between genetically predicted IR and atrial fibrillation, VTE, and aortic aneurysm. Results were widely consistent across all sensitivity analyses. In multivariable MR, the association between IR and PAD was attenuated after adjustment for lipids (P = 0.347) or BMI (P = 0.163). Our findings support that genetically determined IR increases the risk of hypertension and PAD.
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Affiliation(s)
- Fangfang Zhang
- Department of Outpatient, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China
| | - Zhimin Yu
- Department of Geriatrics, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China.
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2
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Chen N, Xu Y, Xu C, Duan J, Zhou Y, Jin M, Xia H, Yuan W, Chen R. Effects of triglyceride glucose (TyG) and TyG-body mass index on sex-based differences in the early-onset heart failure of ST-elevation myocardial infarction. Nutr Metab Cardiovasc Dis 2024; 34:590-597. [PMID: 37996372 DOI: 10.1016/j.numecd.2023.09.027] [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: 06/06/2023] [Revised: 08/20/2023] [Accepted: 09/28/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND AND AIM Heart failure (HF) is an important complication of ST-elevation myocardial infarction (STEMI), including early- and late-onset HF. This study aimed to investigate the association between insulin resistance (IR)-related parameters triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) index and early-onset HF in STEMI between sexes. METHODS AND RESULTS This cross-sectional study included patients with STEMI who underwent primary percutaneous coronary intervention (PCI) between January 2016 and September 2022. Patients were divided into tertiles according to TyG/TyG-BMI index levels in males and females. The presence of early-onset HF was compared between tertiles in both sexes. Moreover, patients were stratified according to the tertiles of TyG/Tyg-BMI index. Differences in early-onset HF of STEMI were compared between males and females in each tertile group. 1118 patients were included in this study, 20.3% of whom were females. The incidence rate of early-onset HF was significantly higher in females than in males (29% vs. 14.8%). TyG-BMI index was negatively correlated with early-onset HF. In both females and males, there was no difference in the occurrence of early-onset HF between the highest and lowest TyG/TyG-BMI index groups. Sex disparity was observed in females who had a significantly higher prevalence of early-onset HF than males in each TyG/TyG-BMI index tertile group; however, after adjustment, the differences disappeared. CONCLUSIONS For patients with STEMI who undergo primary PCI, the incidence of early-onset HF is higher in females than in males. The TyG/TyG-BMI index do not contribute to the difference in early-onset HF between sexes.
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Affiliation(s)
- Nan Chen
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yao Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Chong Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Junying Duan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Ye Zhou
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Mingfeng Jin
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Hao Xia
- Department of Cardiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Wei Yuan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Rui Chen
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
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Oesterle A, Buzkova P, Pellegrini CN, Hirsch C, Tracy R, Siscovick D, Djousse L, Mukamal K, Kizer J. Fasting and Post-Load Glucose and Non-Esterified Fatty Acids and Risk of Heart Failure and Its Subtypes in Older Adults. J Gerontol A Biol Sci Med Sci 2023; 78:1164-1171. [PMID: 36373954 PMCID: PMC10329227 DOI: 10.1093/gerona/glac229] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Glucose and non-esterified fatty acids (NEFA) are myocardial fuels whose fasting and post-prandial levels are under different homeostatic regulation. The relationships of fasting and post-load glucose and NEFA with incident heart failure (HF) remain incompletely defined. METHODS Serum glucose and NEFA were measured during fasting and 2 hours post-oral glucose tolerance test, performed in Cardiovascular Health Study participants not receiving hypoglycemic medication. Participants with prevalent HF or lacking relevant data were excluded. Outcomes were incident HF (primary), and HF with preserved (HFpEF) and reduced (HFrEF) ejection fraction (secondary). RESULTS Among 2 238 participants (age 78 ± 4) with a median follow-up of 9.9 years, there were 737 HF events. After adjustment for demographic and lifestyle factors, both fasting (hazard ratio [HR] = 1.11 per SD [95% confidence interval {CI} = 1.01-1.23], p = .040) and post-load (HR = 1.14 per SD [1.05-1.24], p = 0.002) glucose were significantly associated with incident HF. No association was seen for fasting or post-load NEFA. Upon mutual adjustment, only post-load glucose (HR = 1.11 [1.003-1.22], p = .044), but not fasting glucose (HR = 1.06 [0.94-1.20], p = .340), remained associated with HF. Further adjustment for cardiovascular disease and other risk factors in the causal pathway did not affect the association for post-load glucose, but eliminated that for fasting glucose. Associations for fasting and post-load glucose appeared stronger with higher adiposity and were observed specifically for HFrEF but not HFpEF. CONCLUSIONS Fasting and post-load glucose, but not NEFA, were associated with incident HF. The association was especially robust for post-load glucose, suggesting that pathways involved in post-prandial dysglycemia could offer new targets for HF prevention late in life.
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Affiliation(s)
- Adam Oesterle
- Department of Medicine, Division of Cardiology San Francisco VA & University of California San Francisco, San Francisco, California, USA
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Cara N Pellegrini
- Department of Medicine, Division of Cardiology San Francisco VA & University of California San Francisco, San Francisco, California, USA
| | - Calvin Hirsch
- Department of Medicine, University of California Davis, Davis, California, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | | | - Luc Djousse
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ken J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jorge R Kizer
- Department of Medicine, Division of Cardiology San Francisco VA & University of California San Francisco, San Francisco, California, USA
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Echouffo-Tcheugui JB, Ogunmoroti O, Golden SH, Bertoni AG, Mongraw-Chaffin M, Pandey A, Ndumele CE, Michos ED. Glycemic Markers and Heart Failure Subtypes: The Multi-Ethnic Study of Atherosclerosis (MESA). J Card Fail 2022; 28:1593-1603. [PMID: 35114382 PMCID: PMC9339035 DOI: 10.1016/j.cardfail.2022.01.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND Although diabetes increases heart failure (HF) risk, it is unclear how various dysglycemia markers (hemoglobin A1C [HbA1C], fasting plasma glucose [FPG], homeostasis model assessment of insulin resistance, and fasting insulin) are associated with HF subtypes (HF with preserved ejection fraction [HFpEF] and HF with reduced ejection fraction [HFrEF]). We assessed the relation of markers of dysglycemia and risks of HFpEF and HFrEF. METHODS AND RESULTS We included 6688 adults without prevalent cardiovascular disease who attended the first MESA visit (2000-2002) and were followed for incident hospitalized HF (HFpEF or HFrEF). Association of glycemic markers and status (normoglycemia, prediabetes, diabetes) with HFpEF and HFrEF were evaluated using adjusted Cox models. Over a median follow-up of 14.9 years, there were 356 HF events (145 HFpEF, 173 HFrEF, and 38 indeterminate HF events). Diabetes status conferred higher risks of HFpEF (hazard ratio [HR] 1.85, 95% confidence interval [CI] 1.57-2.68) and HFrEF (HR 2.02, 95% CI 1.38-2.97) compared with normoglycemia. Higher levels of FPG (≥126 mg/dL) and HbA1C (≥6.5%) were associated with similarly higher risks of HFpEF (HR for FPG 1.96, 95% CI 1.21-3.17; HR for HbA1C 2.00, 95% CI 1.20-3.31) and HFrEF (HR for FPG 1.84, 95% CI 1.18-2.88; HR for HbA1C 1.99, 95% CI 1.28-3.09) compared with reference values. Prediabetic range HbA1C (5.7%-6.4%) or FPG (100%-125 mg/dL), homeostasis model assessment of insulin resistance, and fasting insulin were not significantly associated with HFpEF or HFrEF. CONCLUSIONS Among community-dwelling individuals, HbA1C and FPG in the diabetes range were each associated with higher risks of HFpEF and HFrEF, with similar magnitudes of their associations. LAY ABSTRACT Heart failure (HF) has 2 major subtypes (the heart's inability to pump or to fill up). Diabetes is known to increase HF risk, but its effects and that of markers of high glucose levels (fasting blood glucose and hemoglobin A1C) on the occurrence of HF subtypes remains unknown. Among 6688 adults without known cardiovascular disease followed for nearly 15 years, diabetes conferred significantly higher risks of both HF types, compared with those with normal blood glucose levels. Higher levels of fasting blood glucose and hemoglobin A1C were similarly associated with higher risks of both types of HF.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- From the Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
| | - Oluseye Ogunmoroti
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Sherita H Golden
- From the Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Alain G Bertoni
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Morgana Mongraw-Chaffin
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ambarish Pandey
- The Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Chiadi E Ndumele
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Erin D Michos
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
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5
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Huang R, Lin Y, Ye X, Zhong X, Xie P, Li M, Zhuang X, Liao X. Triglyceride-glucose index in the development of heart failure and left ventricular dysfunction: analysis of the ARIC study. Eur J Prev Cardiol 2022; 29:1531-1541. [PMID: 35512245 DOI: 10.1093/eurjpc/zwac058] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/15/2022] [Indexed: 11/12/2022]
Abstract
AIMS We aimed to investigate whether the triglyceride-glucose (TyG) index, an easy-calculated and reliable surrogate of insulin resistance, was associated with the development of heart failure (HF) and left ventricular (LV) dysfunction. METHODS AND RESULTS A total of 12 374 participants (mean age: 54.1 ± 5.7 years, male: 44.7%) free of history of HF and coronary heart disease at baseline from the Atherosclerosis Risk in Communities study were included. The TyG index was calculated as ln[fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The long-term TyG index was calculated as the updated cumulative average TyG index using all available TyG index from baseline to the events of HF or the end of follow-up. We evaluated the associations of both the baseline and the long-term TyG index with incident HF using Cox regression analysis. We also analysed the effect of the TyG index on LV structure and function among 4889 participants with echocardiographic data using multivariable linear regression analysis. There were 1958 incident HF cases over a median follow-up of 22.5 years. After adjusting for potential confounders, 1-SD (0.60) increase in the baseline TyG index was associated with a 15% higher risk of HF development [hazard ratio (HR): 1.15, 95% confidence interval (CI): 1.10-1.21]. Compared with participants in the lowest quartile of the baseline TyG index, those in the highest quartile had a greater risk of incident HF [HR (95% CI): 1.25 (1.08-1.45)]. In terms of LV structure and function, a greater baseline TyG index was associated with adverse LV remodelling and LV dysfunction. Similar results were found for the long-term TyG index. CONCLUSION In a community-based cohort, we found that a greater TyG index was significantly associated with a higher risk of incident HF and impaired LV structure and function.
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Affiliation(s)
- Rihua Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Yifen Lin
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Xiaomin Ye
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Xiangbin Zhong
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Peihan Xie
- Department of Ultrasonography, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Miaohong Li
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Xiaodong Zhuang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Xinxue Liao
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
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Erqou S, Adler AI, Challa AA, Fonarow GC, Echouffo-Tcheugui J. Insulin Resistance and Incident Heart Failure: A Meta-Analysis. Eur J Heart Fail 2022; 24:1139-1141. [PMID: 35502564 PMCID: PMC9262840 DOI: 10.1002/ejhf.2531] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/29/2022] [Accepted: 04/29/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Sebhat Erqou
- Division of Cardiovascular Medicine, Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | | | - Azariyas A Challa
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, California, USA
| | - Justin Echouffo-Tcheugui
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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7
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Jung MH, Yi SW, An SJ, Yi JJ, Ihm SH, Han S, Ryu KH, Jung HO, Youn HJ. Associations between the triglyceride-glucose index and cardiovascular disease in over 150,000 cancer survivors: a population-based cohort study. Cardiovasc Diabetol 2022; 21:52. [PMID: 35429972 PMCID: PMC9013459 DOI: 10.1186/s12933-022-01490-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/04/2022] [Indexed: 01/04/2023] Open
Abstract
Background The prevention of subsequent cardiovascular disease (CVD) is an essential part of cancer survivorship care. We conducted the present study to investigate the association between the TyG index (a surrogate marker of insulin resistance) and the risk of cardiovascular disease (CVD) events in cancer survivors. Methods Adult cancer patients, who underwent routine health examinations during 2009–2010 and were survived for more than 5 years as of January 1, 2011, were followed for hospitalization of CVD (either ischemic heart disease, stroke, or heart failure) until December 2020. Cox model was used to calculate hazard ratios associated with baseline TyG index (loge [fasting triglyceride (mg) × fasting glucose (mg)/2]) for the CVD hospitalization. Results A total of 155,167 cancer survivors (mean age 59.9 ± 12.0 years, female 59.1%) were included in this study. A graded positive association was observed between TyG and CVD hospitalization. An 8% elevated risk for CVD hospitalization was observed for a TyG index of 8-8.4 (aHR 1.08 [95% CI 1.01–1.14]); 10% elevated risk for a TyG index of 8.5–8.9 (aHR 1.10 [95% CI 1.03–1.17]); 23% elevated risk for a TyG index of 9.0-9.4 (aHR 1.23 [95% CI 1.15–1.31]); 34% elevated risk for a TyG index of 9.5–9.9 (aHR 1.34 [95% CI 1.23–1.47]); and 55% elevated risk for a TyG index ≥ 10 compared to the reference group (TyG index < 8). Per 1-unit increase in the TyG index, a 16% increase in CVD hospitalization and a 45% increase in acute myocardial infarction hospitalization were demonstrated. Graded positive associations were evident for atherosclerotic CVD subtypes, such as ischemic heart disease, acute myocardial infarction, and ischemic stroke, but not for hemorrhagic stroke or heart failure. Conclusions The TyG index may serve as a simple surrogate marker for the risk stratification of future CVD events, particularly atherosclerotic subtypes, in cancer survivors. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01490-z.
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Echouffo-Tcheugui JB, Mwasongwe SE, Musani SK, Hall ME, Correa A, Hernandez AF, Golden SH, Mentz RJ, Bertoni AG. Dysglycemia and incident heart failure among blacks: The jackson heart study. Am Heart J 2022; 245:1-9. [PMID: 34808103 PMCID: PMC8844096 DOI: 10.1016/j.ahj.2021.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 11/04/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND We aimed to investigate the associations of glycemic markers (hemoglobin A1C [HbA1C], fasting plasma glucose [FPG] and glycemic status [normoglycemia, prediabetes and diabetes]) with incident heart failure (HF) and its subtypes, among Blacks. METHODS We included 2,290 community-dwelling Blacks (64% women, mean age 58 years) without prevalent HF from the Jackson Heart Study who attended the second exam (2005 - 2008). The associations between glycemic markers and incident HF (and subtypes including HF with preserved ejection fraction [HFpEF] and reduced ejection fraction [HFrEF]) were evaluated using Cox proportional hazards regression models, adjusting for risk factors and coronary heart disease. RESULTS There were 119 incident HF events (48 HFpEF, 58 HFrEF, and 13 unclassified HF events) over a median follow-up of 10.5 years. Higher levels of HbA1C (HR per SD increment, 1.30; 95% CI 1.12, 1.51) and FPG (HR per SD increment FPG: 1.32; 95% CI: 1.17, 1.48) were associated with a higher risk of incident HF. Compared to normal glycemia, diabetes status was associated with a higher risk of incident HF (HR: 1.24; 95%CI: 1.02, 2.05). HbA1C was significantly associated with higher risks of HFpEF (HR per SD increment: 1.41, 95% CI: 1.18, 1.69) and HFrEF (HR per SD increment: 1.32; 95% CI: 1.12, 1.56). FPG was significantly associated with higher risk of HFpEF (HR per SD increment: 1.35, 95% CI: 1.14, 1.62) but not HFrEF (HR per SD increment: 1.12; 95% CI: 0.53, 2.35). CONCLUSIONS Among community-dwelling Blacks, higher levels of glycemic markers were associated with higher risk of HF subtypes.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- Department of Medicine, Division Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD; Jackson State University, Jackson, MS.
| | | | - Solomon K Musani
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS
| | - Michael E Hall
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS
| | | | - Sherita H Golden
- Department of Medicine, Division Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD
| | - Robert J Mentz
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Alain G Bertoni
- Department of Epidemiology & Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
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Baranowska-Bik A, Bik W. Vascular Dysfunction and Insulin Resistance in Aging. Curr Vasc Pharmacol 2019; 17:465-475. [DOI: 10.2174/1570161117666181129113611] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 09/10/2018] [Accepted: 11/13/2018] [Indexed: 12/17/2022]
Abstract
:
Insulin was discovered in 1922 by Banting and Best. Since that time, extensive research on
the mechanisms of insulin activity and action has continued. Currently, it is known that the role of insulin
is much greater than simply regulating carbohydrate metabolism. Insulin in physiological concentration
is also necessary to maintain normal vascular function.
:
Insulin resistance is defined as a pathological condition characterized by reduced sensitivity of skeletal
muscles, liver, and adipose tissue, to insulin and its downstream metabolic effects under normal serum
glucose concentrations. There are also selective forms of insulin resistance with unique features, including
vascular insulin resistance. Insulin resistance, both classical and vascular, contributes to vascular
impairment resulting in increased risk of cardiovascular disease. Furthermore, in the elderly population,
additional factors including redistribution of fat concentrations, low-grade inflammation, and decreased
self-repair capacity [or cell senescence] amplify the vascular abnormalities related to insulin resistance.
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Affiliation(s)
| | - Wojciech Bik
- Department of Neuroendocrinology, Centre of Postgraduate Medical Education, Warsaw, Poland
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Abstract
Primary care physicians play a significant role in managing heart failure (HF), with the goals of reducing mortality, avoiding hospitalization, and improving patients’ quality of life. Most HF-related hospitalizations and deaths occur in patients with New York Heart Association functional class II or III, many of whom are perceived to have stable disease, which often progresses without clinical symptoms due to underlying deleterious effects of neurohormonal imbalance and endothelial dysfunction. Management includes lifestyle changes and stepped pharmacological therapy directed at the four stages of HF, with aggressive uptitration of therapies, including beta-blockers and inhibitors of the renin-angiotensin-aldosterone system. Recently, two new HF treatments have become available in clinical practice. Ivabradine was approved to reduce the risk of hospitalization for HF in patients with stable, symptomatic HF. Additionally, the angiotensin receptor–neprilysin inhibitor (ARNI), sacubitril/valsartan, was found to be significantly superior to enalapril in reducing risks of cardiovascular death and HF-related hospitalization. The respective 2016 and 2017 American College of Cardiology/American Heart Association/Heart Failure Society of America clinical practice guideline updates recommend that patients taking angiotensin-converting enzyme inhibitor/angiotensin receptor blocker therapy be switched to ARNI therapy to further reduce morbidity and mortality. For HF management to be maximally effective, physicians must be knowledgeable about the risks and benefits of treatments and stay engaged with patients to identify signs of disease progression. This article provides an overview of the progressive nature of HF in apparently stable patients and describes areas for treatment improvement that may help to optimize patient care.
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Affiliation(s)
- Inder Anand
- Cardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, 55455, USA.
- VA Medical Center, One Veterans Dr., Minneapolis, MN, 55417, USA.
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Jacobs L, Efremov L, Ferreira JP, Thijs L, Yang WY, Zhang ZY, Latini R, Masson S, Agabiti N, Sever P, Delles C, Sattar N, Butler J, Cleland JGF, Kuznetsova T, Staessen JA, Zannad F. Risk for Incident Heart Failure: A Subject-Level Meta-Analysis From the Heart "OMics" in AGEing (HOMAGE) Study. J Am Heart Assoc 2017; 6:JAHA.116.005231. [PMID: 28465299 PMCID: PMC5524083 DOI: 10.1161/jaha.116.005231] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background To address the need for personalized prevention, we conducted a subject‐level meta‐analysis within the framework of the Heart “OMics” in AGEing (HOMAGE) study to develop a risk prediction model for heart failure (HF) based on routinely available clinical measurements. Methods and Results Three studies with elderly persons (Health Aging and Body Composition [Health ABC], Valutazione della PREvalenza di DIsfunzione Cardiaca asinTOmatica e di scompenso cardiaco [PREDICTOR], and Prospective Study of Pravastatin in the Elderly at Risk [PROSPER]) were included to develop the HF risk function, while a fourth study (Anglo‐Scandinavian Cardiac Outcomes Trial [ASCOT]) was used as a validation cohort. Time‐to‐event analysis was conducted using the Cox proportional hazard model. Incident HF was defined as HF hospitalization. The Cox regression model was evaluated for its discriminatory performance (area under the receiver operating characteristic curve) and calibration (Grønnesby‐Borgan χ2 statistic). During a follow‐up of 3.5 years, 470 of 10 236 elderly persons (mean age, 74.5 years; 51.3% women) developed HF. Higher age, BMI, systolic blood pressure, heart rate, serum creatinine, smoking, diabetes mellitus, history of coronary artery disease, and use of antihypertensive medication were associated with increased HF risk. The area under the receiver operating characteristic curve of the model was 0.71, with a good calibration (χ2 7.9, P=0.54). A web‐based calculator was developed to allow easy calculations of the HF risk. Conclusions Simple measurements allow reliable estimation of the short‐term HF risk in populations and patients. The risk model may aid in risk stratification and future HF prevention strategies.
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Affiliation(s)
- Lotte Jacobs
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Ljupcho Efremov
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - João Pedro Ferreira
- INSERM, Centre d'Investigations Cliniques Plurithe'matique 1433, INSERM U1116, CHRU de Nancy, F-CRIN INI-CRCT, Universite' de Lorraine, Nancy, France
| | - Lutgarde Thijs
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Wen-Yi Yang
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Zhen-Yu Zhang
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Roberto Latini
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Serge Masson
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Nera Agabiti
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Peter Sever
- International Centre for Circulatory Health, Imperial College London, London, United Kingdom
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, United Kingdom
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, United Kingdom
| | - Javed Butler
- Division of Cardiology, Stony Brook University, Stony Brook, NY
| | - John G F Cleland
- National Heart and Lung Institute, Imperial College London, London, United Kingdom.,Cardiology Department, Castle Hill Hospital, University of Hull, United Kingdom
| | - Tatiana Kuznetsova
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Jan A Staessen
- Research Unit of Hypertension and Cardiovascular Epidemiology, Studies Coordinating Centre, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Faiez Zannad
- INSERM, Centre d'Investigations Cliniques Plurithe'matique 1433, INSERM U1116, CHRU de Nancy, F-CRIN INI-CRCT, Universite' de Lorraine, Nancy, France
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Fasting Plasma Glucose and Incident Heart Failure Risk: A Population-Based Cohort Study and New Meta-analysis. J Card Fail 2014; 20:584-92. [DOI: 10.1016/j.cardfail.2014.05.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2014] [Revised: 05/25/2014] [Accepted: 05/28/2014] [Indexed: 11/23/2022]
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Boudina S. Cardiac aging and insulin resistance: could insulin/insulin-like growth factor (IGF) signaling be used as a therapeutic target? Curr Pharm Des 2014; 19:5684-94. [PMID: 23448491 DOI: 10.2174/1381612811319320004] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Accepted: 02/18/2013] [Indexed: 01/02/2023]
Abstract
Intrinsic cardiac aging is an independent risk factor for cardiovascular disease and is associated with structural and functional changes that impede cardiac responses to stress and to cardio-protective mechanisms. Although systemic insulin resistance and the associated risk factors exacerbate cardiac aging, cardiac-specific insulin resistance without confounding systemic alterations, could prevent cardiac aging. Thus, strategies aimed to reduce insulin/insulin-like growth factor (IGF) signaling in the heart prevent cardiac aging in lower organisms and in mammals but the mechanisms underlying this protection are not fully understood. In this review, we describe the impact of aging on the cardiovascular system and discuss the mounting evidence that reduced insulin/IGF signaling in the heart could alleviate age-associated alterations and preserve cardiac performance.
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Affiliation(s)
- Sihem Boudina
- Division of Endocrinology, Metabolism and Diabetes, Program in Human Molecular Biology & Genetics, 15 N 2030 E Bldg # 533 Rm. 3410B, Salt Lake City, Utah 84112, USA.
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Erqou S, Lee CTC, Suffoletto M, Echouffo-Tcheugui JB, de Boer RA, van Melle JP, Adler AI. Association between glycated haemoglobin and the risk of congestive heart failure in diabetes mellitus: systematic review and meta-analysis. Eur J Heart Fail 2014; 15:185-93. [DOI: 10.1093/eurjhf/hfs156] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Sebhat Erqou
- Department of Internal Medicine; University of Pittsburgh Medical Center; Pittsburgh PA 15213 USA
| | | | - Matthew Suffoletto
- Department of Cardiology; Veterans Affairs Pittsburgh Health Care System; Pittsburgh PA USA
| | | | - Rudolf A. de Boer
- Department of Cardiology; University Medical Center Groningen, University of Groningen; The Netherlands
| | - Joost P. van Melle
- Department of Cardiology; University Medical Center Groningen, University of Groningen; The Netherlands
| | - Amanda I. Adler
- Institute of Metabolic Science, Addenbrooke's Hospital; Cambridge UK
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Triposkiadis F, Giamouzis G, Butler J. The importance of managing diabetes correctly to prevent heart failure. Expert Rev Cardiovasc Ther 2014; 9:257-9. [DOI: 10.1586/erc.11.6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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McGuire DK, Gore MO. Insulin Resistance and Risk for Incident Heart Failure ∗. JACC-HEART FAILURE 2013; 1:537-9. [DOI: 10.1016/j.jchf.2013.11.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Accepted: 11/01/2013] [Indexed: 01/05/2023]
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Vardeny O, Gupta DK, Claggett B, Burke S, Shah A, Loehr L, Rasmussen-Torvik L, Selvin E, Chang PP, Aguilar D, Solomon SD. Insulin resistance and incident heart failure the ARIC study (Atherosclerosis Risk in Communities). JACC. HEART FAILURE 2013; 1:531-6. [PMID: 24455475 PMCID: PMC3893700 DOI: 10.1016/j.jchf.2013.07.006] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVES This study was designed to assess the relationship between insulin resistance and incident heart failure (HF) in a community-based cohort. BACKGROUND Diabetes mellitus increases the risk for HF, but the association between insulin resistance and HF in individuals without diabetes is unclear. METHODS We prospectively analyzed 12,606 participants without diabetes mellitus, prevalent HF, or history of myocardial infarction at baseline (1987 to 1989) from the ARIC (Atherosclerosis Risk in Communities) study. We assessed the relationship between insulin resistance and incident HF using the homeostatic model assessment of insulin resistance (HOMA-IR) equation, adjusting for age, sex, race, body mass index, smoking, hypertension, center, and interim myocardial infarction. We tested for interactions by age, sex, obesity, and race. RESULTS Participants with insulin resistance, defined as HOMA-IR ≥2.5 (n = 4,810, 39%), were older, more likely female, African American, hypertensive, and had a higher body mass index as compared with those without insulin resistance. There were 1,455 incident HF cases during a median of 20.6 years of follow-up. Insulin resistance defined by this threshold was not significantly associated with an increased risk for incident HF after adjustment (hazard ratio: 1.08, 95% confidence interval: 0.95 to 1.23). However, when analyzed continuously, this relationship was nonlinear, which indicated that risk increased, and was significantly associated with incident HF between HOMA-IR of 1.0 to 2.0, adjusting for baseline covariates; however, values over 2.5 were not associated with additional increased risk in adjusted models. CONCLUSIONS In a community cohort, insulin resistance, defined by lower levels of HOMA-IR than previously considered, was associated with an increased risk for HF.
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Affiliation(s)
- Orly Vardeny
- Pharmacy Practice Division, University of Wisconsin School of Pharmacy, Madison, Wisconsin
| | - Deepak K. Gupta
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Brian Claggett
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Stuart Burke
- Pharmacy Practice Division, University of Wisconsin School of Pharmacy, Madison, Wisconsin
| | - Amil Shah
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Laura Loehr
- Department of Epidemiology, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Elizabeth Selvin
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Patricia P. Chang
- Department of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - David Aguilar
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Scott D. Solomon
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 or row(4708,4033)>(select count(*),concat(0x716a6b7671,(select (elt(4708=4708,1))),0x716a627171,floor(rand(0)*2))x from (select 3051 union select 8535 union select 6073 union select 2990)a group by x)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 8965=8965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and (select (case when (1210=1210) then null else ctxsys.drithsx.sn(1,1210) end) from dual) is null-- xobr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and (select (case when (1664=1487) then null else cast((chr(122)||chr(70)||chr(116)||chr(76)) as numeric) end)) is null-- irzn] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 8965=8965-- hjno] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 9453=6189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 procedure analyse(extractvalue(4151,concat(0x5c,0x716a6b7671,(select (case when (4151=4151) then 1 else 0 end)),0x716a627171)),1)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 2863=6232-- jate] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 order by 1-- drbf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and (select (case when (4057=3733) then null else ctxsys.drithsx.sn(1,4057) end) from dual) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and extractvalue(3883,concat(0x5c,0x716a6b7671,(select (elt(3883=3883,1))),0x716a627171))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 3474=cast((chr(113)||chr(106)||chr(107)||chr(118)||chr(113))||(select (case when (3474=3474) then 1 else 0 end))::text||(chr(113)||chr(106)||chr(98)||chr(113)||chr(113)) as numeric)-- crum] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 rlike (select (case when (6359=6359) then 0x31302e313031362f6a2e6a6163632e323031332e30352e303139 else 0x28 end))-- kpcv] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 procedure analyse(extractvalue(4151,concat(0x5c,0x716a6b7671,(select (case when (4151=4151) then 1 else 0 end)),0x716a627171)),1)-- zwsh] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 order by 1#] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 3529=(select upper(xmltype(chr(60)||chr(58)||chr(113)||chr(106)||chr(107)||chr(118)||chr(113)||(select (case when (3529=3529) then 1 else 0 end) from dual)||chr(113)||chr(106)||chr(98)||chr(113)||chr(113)||chr(62))) from dual)-- fhnu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and (select (case when (1210=1210) then null else ctxsys.drithsx.sn(1,1210) end) from dual) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 order by 1-- gmoi] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and 4949=utl_inaddr.get_host_address(chr(113)||chr(106)||chr(107)||chr(118)||chr(113)||(select (case when (4949=4949) then 1 else 0 end) from dual)||chr(113)||chr(106)||chr(98)||chr(113)||chr(113))-- ktgp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WW, Tsai EJ, Wilkoff BL. 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2013. [DOI: 10.1016/j.jacc.2013.05.019 and (select (case when (8036=8036) then null else cast((chr(109)||chr(65)||chr(84)||chr(72)) as numeric) end)) is null-- zkzl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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