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Jung J, Kim D, Hwang I. Exploring Predictive Factors for Heart Failure Progression in Hypertensive Patients Based on Medical Diagnosis Data from the MIMIC-IV Database. Bioengineering (Basel) 2024; 11:531. [PMID: 38927767 PMCID: PMC11200608 DOI: 10.3390/bioengineering11060531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/17/2024] [Accepted: 05/19/2024] [Indexed: 06/28/2024] Open
Abstract
Heart failure is associated with a significant mortality rate, and an elevated prevalence of this condition has been noted among hypertensive patients. The identification of predictive factors for heart failure progression in hypertensive individuals is crucial for early intervention and improved patient outcomes. In this study, we aimed to identify these predictive factors by utilizing medical diagnosis records for hypertension patients from the MIMIC-IV database. In particular, we employed only diagnostic history prior to hypertension to enable patients to anticipate the onset of heart failure at the moment of hypertension diagnosis. In the methodology, chi-square tests and XGBoost modeling were applied to examine age-specific predictive factors across four groups: AL (all ages), G1 (0 to 65 years), G2 (65 to 80 years), and G3 (over 80 years). As a result, the chi-square tests identified 34, 28, 20, and 10 predictive factors for the AL, G1, G2, and G3 groups, respectively. Meanwhile, the XGBoost modeling uncovered 19, 21, 27, and 33 predictive factors for these respective groups. Ultimately, our findings reveal 21 overall predictive factors, encompassing conditions such as atrial fibrillation, the use of anticoagulants, kidney failure, obstructive pulmonary disease, and anemia. These factors were assessed through a comprehensive review of the existing literature. We anticipate that the results will offer valuable insights for the risk assessment of heart failure in hypertensive patients.
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Affiliation(s)
- Jinmyung Jung
- Division of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong 18323, Republic of Korea; (D.K.); (I.H.)
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Williams BA, Voyce S, Blankenship JC, Chang AR. Association between the diagnostic classification of newly diagnosed coronary artery disease and future heart failure development. Coron Artery Dis 2023; 34:341-350. [PMID: 37139564 DOI: 10.1097/mca.0000000000001243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
OBJECTIVE The first clinical manifestation of coronary artery disease (CAD) varies widely from unheralded myocardial infarction (MI) to mild, incidentally detected disease. The primary objective of this study was to quantify the association between different initial CAD diagnostic classifications and future heart failure. METHODS This retrospective study incorporated the electronic health record of a single integrated health care system. Newly diagnosed CAD was classified into a mutually exclusive hierarchy as MI, CAD with coronary artery bypass graft (CABG), CAD with percutaneous coronary intervention, CAD only, unstable angina, and stable angina. An acute CAD presentation was defined when the diagnosis was associated with a hospital admission. New heart failure was identified after the CAD diagnosis. RESULTS Among 28 693 newly diagnosed CAD patients, initial presentation was acute in 47% and manifested as MI in 26%. Within 30 days of CAD diagnosis, MI [hazard ratio (HR) = 5.1; 95% confidence interval: 4.1-6.5] and unstable angina (3.2; 2.4-4.4) classifications were associated with the highest heart failure risk (compared to stable angina), as was acute presentation (2.9; 2.7-3.2). Among stable, heart failure-free CAD patients followed on average 7.4 years, initial MI (adjusted HR = 1.6; 1.4-1.7) and CAD with CABG (1.5; 1.2-1.8) were associated with higher long-term heart failure risk, but an initial acute presentation was not (1.0; 0.9-1.0). CONCLUSION Nearly 50% of initial CAD diagnoses are associated with hospitalization, and these patients are at high risk of early heart failure. Among stable CAD patients, MI remained the diagnostic classification associated with the highest long-term heart failure risk, however, having an initial acute CAD presentation was not associated with long-term heart failure.
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Affiliation(s)
| | - Stephen Voyce
- Department of Cardiology, Geisinger Health System, Danville, Pennsylvania
| | | | - Alexander R Chang
- Department of Nephrology, Geisinger Health System, Danville, Pennsylvania USA
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Haș IM, Teleky BE, Vodnar DC, Ștefănescu BE, Tit DM, Nițescu M. Polyphenols and Cardiometabolic Health: Knowledge and Concern among Romanian People. Nutrients 2023; 15:nu15102281. [PMID: 37242164 DOI: 10.3390/nu15102281] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
The cardiometabolic health of the population is a crucial indicator of public health, considering the significant impact of cardiovascular disease (CVD) and diabetes on global mortality. Determining the population's knowledge and the predictors of these pathologies is essential in developing effective educational and clinical strategies for the prevention and management of cardiometabolic risk (CMR). Polyphenols are natural compounds with a multitude of beneficial effects on cardiometabolic health. This study explored the current knowledge, understanding, and awareness of CMR, the benefits of polyphenols among Romanians, and how sociodemographic and clinical characteristics influence this aspect. Five hundred forty-six subjects responded anonymously to an online questionnaire designed to assess their knowledge. The data were collected and analyzed based on gender, age, education level, and BMI status. Most respondents expressed concern to a great or very great extent about their health (78%) and food (60%), with significant differences (p < 0.05) depending on age, educational level, and BMI status. Of the respondents, 64.8% declared that they were familiar with the CMR term. Still, the results showed a weak correlation between the stated risk factors and the self-assessment of increased risk (r = 0.027) for CVD or diabetes. Only 35% of the respondents reported a good or very good knowledge of the term "polyphenols", 86% recognized the antioxidant effect, and significantly fewer (26%) recognized the prebiotic effect. Developing and implementing targeted educational strategies to enhance learning and individual behaviors related to CMR factors and the benefits of polyphenols is necessary.
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Affiliation(s)
- Ioana Mariana Haș
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
| | - Bernadette-Emőke Teleky
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
- Department of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Dan-Cristian Vodnar
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
- Department of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Bianca Eugenia Ștefănescu
- Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Delia Mirela Tit
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 29 N. Jiga St., 410028 Oradea, Romania
| | - Maria Nițescu
- Department of Preclinical-Complementary Sciences, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania
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Campbell-Quintero S, Echeverría LE, Gómez-Mesa JE, Rivera-Toquica A, Rentería-Asprilla CA, López-Garzón NA, Alcalá-Hernández AE, Accini-Mendoza JL, Baquero-Lozano GA, Martínez-Carvajal AR, Cadena A, Zarama-Márquez MH, Ramírez-Puentes EG, Bustamante RI, Saldarriaga C. Comorbidity profile and outcomes in patients with chronic heart failure in a Latin American country: Insights from the Colombian heart failure registry (RECOLFACA). Int J Cardiol 2023; 378:123-129. [PMID: 36791963 DOI: 10.1016/j.ijcard.2023.02.020] [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: 11/29/2022] [Revised: 02/07/2023] [Accepted: 02/10/2023] [Indexed: 02/15/2023]
Abstract
BACKGROUND Heart failure (HF) is usually accompanied by cardiovascular and non-cardiovascular comorbidities, which may significantly impact its prognosis. In this study we aimed to characterize the comorbidity profile and its impact in mortality in patients with HF diagnosis from the Colombian Heart Failure Registry (RECOLFACA). METHODS RECOLFACA enrolled adult patients with HF diagnosis from 60 centers in Colombia during the period 2017-2019. The primary outcome was all-cause mortality. A Cox proportional hazards regression model was used to assess the impact of the comorbidities in mortality. A p-value of <0.05 was considered significant. RESULTS From the total 2528 patients included in the registry, 2514 patients (58% males, mean age 68 years) had information regarding comorbidity diagnoses. 2321 patients (92.3%) reported at least one comorbidity. Arterial hypertension was the most frequent individual diagnosis (72%; n = 1811), followed by anemia (30.1%, n = 726). The most frequently observed coexisting comorbidities were coronary disease (CHD) with dyslipidemia, and chronic kidney disease (CKD) with type 2 Diabetes Mellitus (T2DM). Different patterns of comorbidity coexistence were observed when comparing HF patients by sex and left-ventricular ejection fraction (LVEF) classification. The only comorbidities that were significantly associated with mortality after multivariate adjustment were T2DM (HR 1.45. 95% CI 1.01-2.12), anemia (HR 1.48. 95% CI 1.02-2.16), and CHD (HR 1.59. 95% CI 1.09-2.33). CONCLUSION Multiple comorbidities were frequently observed in the patients from the RECOLFACA. T2DM, anemia and CHD were significantly associated with a higher risk of mortality, highlighting the importance of promoting an optimal follow-up and control of these conditions.
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Affiliation(s)
| | | | | | - Alex Rivera-Toquica
- Cardiology Department, Centro Médico para el Corazón, Pereira, Colombia; Cardiology Department, Clínica los Rosales, Pereira, Colombia; Cardiology Department, Universidad Tecnológica de Pereira, Pereira, Colombia.
| | | | | | | | | | | | | | - Alberto Cadena
- Cardiology Department, Clínica de la Costa, Barranquilla, Colombia.
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Kharawala A, Safiriyu I, Olayinka A, Hajra A, Seo J, Akunor H, Alhuarrat MAD, Tachil R. Incidence, predictors and outcomes of new onset systolic heart failure following Orthotopic liver transplant: A systematic review. Transplant Rev (Orlando) 2023; 37:100758. [PMID: 37027999 DOI: 10.1016/j.trre.2023.100758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/17/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND New onset Systolic heart failure (SHF), characterized by new onset left ventricular (LV) systolic dysfunction with a reduction in ejection fraction (EF) of <40%, is a common cause of morbidity and mortality among Orthotopic liver transplant (OLT) recipients. Therefore, we aimed to evaluate the prevalence, the pre-transplant predictors, and the prognostic impact of SHF post-OLT. METHODS We conducted a systematic review of the literature using electronic databases MEDLINE, Web of Science, and Embase for studies reporting acute systolic heart failure post-liver transplant from inception to August 2021. RESULT Of 2604 studies, 13 met the inclusion criteria and were included in the final systematic review. The incidence of new-onset SHF post OLT ranged from 1.2% to 14%. Race, sex, or body mass index did not significantly impact the post-OLT SHF incidence. Alcoholic liver cirrhosis, pre-transplant systolic or diastolic dysfunction, troponin, brain natriuretic peptide (BNP), blood urea nitrogen (BUN) elevation, and hyponatremia were noted to be significantly associated with the development of SHF post-OLT. The significance of MELD score in the development of post-OLT SHF is controversial. Pre-transplant beta-blocker and post-transplant tacrolimus use were associated with a lower risk of developing SHF. The average 1-year mortality rate in patients with SHF post-OLT ranged from 0.00% to 35.2%. CONCLUSION Despite low incidence, SHF post-OLT can lead to higher mortality. Further studies are required to fully understand the underlying mechanism and risk factors.
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Lopez-Candales A, Sawalha K, Drees BM, Norgard NB. In search of mechanisms to explain the unquestionable benefit derived from sodium-glucose cotransporter-2 (SGLT-2) inhibitors use in heart failure patients. Postgrad Med 2023; 135:323-326. [PMID: 36787777 DOI: 10.1080/00325481.2023.2181537] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- Angel Lopez-Candales
- Division of Cardiovascular Diseases, University Health Truman Medical Center, Hospital Hill, and University of Missouri-Kansas City, Kansas City, MO, USA
| | - Khalid Sawalha
- Nutrition and Metabolism, Department of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Betty M Drees
- Department(s) of Internal Medicine, Biomedical and Health Informatics and Division of Endocrinology Truman Medical Center, Hospital Hill, and University of Missouri-Kansas City, Kansas City, MO, USA
| | - Nicholas B Norgard
- Department of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
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Li YL. Stellate Ganglia and Cardiac Sympathetic Overactivation in Heart Failure. Int J Mol Sci 2022; 23:ijms232113311. [PMID: 36362099 PMCID: PMC9653702 DOI: 10.3390/ijms232113311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
Heart failure (HF) is a major public health problem worldwide, especially coronary heart disease (myocardial infarction)-induced HF with reduced ejection fraction (HFrEF), which accounts for over 50% of all HF cases. An estimated 6 million American adults have HF. As a major feature of HF, cardiac sympathetic overactivation triggers arrhythmias and sudden cardiac death, which accounts for nearly 50–60% of mortality in HF patients. Regulation of cardiac sympathetic activation is highly integrated by the regulatory circuitry at multiple levels, including afferent, central, and efferent components of the sympathetic nervous system. Much evidence, from other investigators and us, has confirmed the afferent and central neural mechanisms causing sympathoexcitation in HF. The stellate ganglion is a peripheral sympathetic ganglion formed by the fusion of the 7th cervical and 1st thoracic sympathetic ganglion. As the efferent component of the sympathetic nervous system, cardiac postganglionic sympathetic neurons located in stellate ganglia provide local neural coordination independent of higher brain centers. Structural and functional impairments of cardiac postganglionic sympathetic neurons can be involved in cardiac sympathetic overactivation in HF because normally, many effects of the cardiac sympathetic nervous system on cardiac function are mediated via neurotransmitters (e.g., norepinephrine) released from cardiac postganglionic sympathetic neurons innervating the heart. This review provides an overview of cardiac sympathetic remodeling in stellate ganglia and potential mechanisms and the role of cardiac sympathetic remodeling in cardiac sympathetic overactivation and arrhythmias in HF. Targeting cardiac sympathetic remodeling in stellate ganglia could be a therapeutic strategy against malignant cardiac arrhythmias in HF.
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Affiliation(s)
- Yu-Long Li
- Department of Emergency Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA; ; Tel.: +1-402-559-3016; Fax: +1-402-559-9659
- Department of Cellular & Integrative Physiology, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Tariq U, Gupta M, Pathak S, Patil R, Dohare A, Misra SK. Role of Biomaterials in Cardiac Repair and Regeneration: Therapeutic Intervention for Myocardial Infarction. ACS Biomater Sci Eng 2022; 8:3271-3298. [PMID: 35867701 DOI: 10.1021/acsbiomaterials.2c00454] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Heart failure or myocardial infarction (MI) is one of the world's leading causes of death. Post MI, the heart can develop pathological conditions such as ischemia, inflammation, fibrosis, and left ventricular dysfunction. However, current surgical approaches are sufficient for enhancing myocardial perfusion but are unable to reverse the pathological changes. Tissue engineering and regenerative medicine approaches have shown promising effects in the repair and replacement of injured cardiomyocytes. Additionally, biomaterial scaffolds with or without stem cells are established to provide an effective environment for cardiac regeneration. Excipients loaded with growth factors, cytokines, oligonucleotides, and exosomes are found to help in such cardiac eventualities by promoting angiogenesis, cardiomyocyte proliferation, and reducing fibrosis, inflammation, and apoptosis. Injectable hydrogels, nanocarriers, cardiac patches, and vascular grafts are some excipients that can help the self-renewal in the damaged heart but are not understood well yet, in the context of used biomaterials. This review focuses on the use of various biomaterial-based approaches for the regeneration and repair of cardiac tissue postoccurrence of MI. It also discusses the outlines of cardiac remodeling and current therapeutic approaches after myocardial infarction, which are translationally important with respect to used biomaterials. It provides comprehensive details of the biomaterial-based regenerative approaches, which are currently the focus of the research for cardiac repair and regeneration and can provide a broad outline for further improvements.
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Affiliation(s)
- Ubaid Tariq
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
| | - Mahima Gupta
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
| | - Subhajit Pathak
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
| | - Ruchira Patil
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
| | - Akanksha Dohare
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
| | - Santosh K Misra
- Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India.,Mehta Family Centre for Engineering in Medicine, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India
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Influence of the Danish Co-morbidity Index Score on the Treatment and Outcomes of 2.5 Million Patients Admitted With Acute Myocardial Infarction in the United States. Am J Cardiol 2022; 179:1-10. [PMID: 35843732 DOI: 10.1016/j.amjcard.2022.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/31/2022] [Accepted: 06/06/2022] [Indexed: 11/20/2022]
Abstract
This study aimed to determine the association between the Danish Co-morbidity Index for Acute Myocardial Infarction (DANCAMI) and restricted DANCAMI (rDANCAMI) scores and clinical outcomes in patients hospitalized with AMI. Using the National Inpatient Sample, all AMI hospitalizations were stratified into four groups based on their DANCAMI and rDANCAMI score (0; 1 to 3; 4 to 5; ≥6). The primary outcome was all-cause mortality, whereas secondary outcomes were major adverse cardiovascular/cerebrovascular events, major bleeding, ischemic stroke, and receipt of coronary angiography or percutaneous coronary intervention. Multivariate logistic regression was used to determine adjusted odds ratios (aOR) with 95% confidence intervals (95% CIs). Patients with DANCAMI risk score ≥6 were more likely to suffer mortality (aOR 2.30, 95% CI 2.24 to 2.37) and bleeding (aOR 5.85, 95% CI 5.52 to 6.21) and were less likely to receive coronary angiography (aOR 0.34, 95% CI 0.33 to 0.34) and percutaneous coronary intervention (aOR 0.29, 95% CI 0.28 to 0.29) compared with patients with DANCAMI score of 0. Similar results were observed for the rDANCAMI score. In conclusion, increased DANCAMI and rDANCAMI scores were associated with worse in-hospital outcomes in patients with AMI and lower odds of invasive management. The use of co-morbidity scores identifies patients at high risk of adverse outcomes and highlights disparities in care.
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Differences in Nutritional and Psychological Habits in Hypertension Patients. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1920996. [PMID: 35845950 PMCID: PMC9286889 DOI: 10.1155/2022/1920996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022]
Abstract
Multifactorial factors such as psychological and nutritional habits are controlling factors in hypertension. The aim of the present study was to analyze differences in nutritional and psychological habits in humans with hypertension. Fifty participants with hypertension (HG) (57.5 ± 13.6 years) and 100 participants as control group (CG) with no hypertension disease (48.9 ± 7.9 years) were interviewed via online questionnaire. Multifactorial items in nutrition habits and psychological profile were analyzed by a compendium of questionnaires; psychological measures refer to personality, anxiety, depression, loneliness, perceived stress, and psychological inflexibility; and a nutritional questionnaire to analyze eating habits and nutrition behaviors of the participants. CG showed significantly higher week vitality (p = 0.001), juice weekly consumption (p = 0.011), coffee weekly consumption (p = 0.050), fermented milk weekly consumption (p = 0.004), and fruit weekly consumption (p = 0.022) than HG. Lower values of weekly coffee consumption and week vitality were found in HG. According to the psychological profile, significant differences were found only depression values, finding HG more depressed than CG (p = 0.002). In conclusion, our results showed that people with better nutrition and mental health would present lower levels of blood pressure. Therefore, the combination of psychological therapy and nutritional recommendations for reducing the risk of having hypertension and improving the blood pressure levels may be needed for patient with hypertension.
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QIAN M, FENG ZQ, ZHENG RN, HU KW, SUN JZ, SUN HB, DAI L. Qi-Tai-Suan, an oleanolic acid derivative, ameliorates ischemic heart failure via suppression of cardiac apoptosis, inflammation and fibrosis. Chin J Nat Med 2022; 20:432-442. [DOI: 10.1016/s1875-5364(22)60156-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Indexed: 11/27/2022]
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Boettcher M, Düngen HD, Donath F, Mikus G, Werner N, Thuermann PA, Karakas M, Besche N, Koch T, Gurniak M, Becker C. Vericiguat in Combination with Short-Acting Nitroglycerin in Patients With Chronic Coronary Syndromes: The Randomized, Phase Ib, VENICE Study. Clin Pharmacol Ther 2022; 111:1239-1247. [PMID: 35258101 PMCID: PMC9310564 DOI: 10.1002/cpt.2574] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/08/2022] [Indexed: 12/13/2022]
Abstract
Vericiguat is a soluble guanylate cyclase stimulator indicated to reduce the risk of cardiovascular death and heart failure (HF) hospitalization in adults with symptomatic chronic HF and ejection fraction less than 45%. Guidelines recommend short‐acting nitrates, such as sublingual nitroglycerin, for the treatment of acute angina pectoris in patients with chronic coronary syndromes (CCSs), common comorbidities in HF. We evaluated safety, tolerability, and the pharmacodynamic interaction between vericiguat and nitroglycerin, coadministered in patients with CCSs. In this phase Ib, double‐blind, randomized, multicenter study, 36 patients with CCSs received either vericiguat 2.5 mg (up‐titrated every 2 weeks to 5 mg and 10 mg) or placebo. Patients also received nitroglycerin (0.4 mg sublingual). In total, 31 patients completed the study (vericiguat + nitroglycerin, n = 21; placebo + nitroglycerin, n = 10). There was no increase in treatment‐emergent adverse events (TEAEs) with vericiguat + nitroglycerin vs. placebo + nitroglycerin; three patients discontinued due to TEAEs (vericiguat + nitroglycerin, n = 1; placebo + nitroglycerin, n = 2). Decreases in mean blood pressure (BP; 6–10 mmHg systolic BP (SBP); 4–6 mmHg diastolic BP (DBP)) were independent of vericiguat exposure and occurred to a similar extent at trough and peak concentrations with all vericiguat doses and placebo. Coadministration of vericiguat with nitroglycerin in patients with CCSs was well tolerated, and the combination is unlikely to cause significant adverse effects beyond those known for nitroglycerin.
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Affiliation(s)
| | - Hans-Dirk Düngen
- Department of Internal Medicine, Cardiology, Charité - Universitaetsmedizin Berlin, Berlin, Germany
| | - Frank Donath
- SocraTec Research & Development GmbH, Erfurt, Germany
| | - Gerd Mikus
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Nikos Werner
- Heart Center, Department of Medicine II, University Hospital Bonn, Bonn, Germany
| | - Petra A Thuermann
- Philipp Klee-Institute of Clinical Pharmacology, Helios Klinikum Wuppertal, Wuppertal, Germany
| | - Mahir Karakas
- Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany
| | - Nina Besche
- Chrestos Concept GmbH & Co. KG, Essen, Germany
| | - Tanja Koch
- Translational Studies Operations, Bayer AG, Wuppertal, Germany
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Sharma D, Prashar A. Associations between the gut microbiome, gut microbiology and heart failure: Current understanding and future directions. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 17:100150. [PMID: 38559891 PMCID: PMC10978367 DOI: 10.1016/j.ahjo.2022.100150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/19/2022] [Accepted: 06/06/2022] [Indexed: 04/04/2024]
Abstract
The role of the gut microbiome in pathophysiology, prognostication and clinical management of heart failure (HF) patients is of great clinical and research interest. Both preclinical and clinical studies have shown promising results, and the gut microbiome has been implicated in other cardiovascular conditions that are risk factors for HF. There is an increasing interest in the use of biological compounds produced as biomarkers for prognostication as well as exploration of therapeutic options targeting the various markers and pathways from the gut microbiome that are implicated in HF. However, study variations exist, and targeted research for individual putative biomarkers is necessary. There is also limited evidence pertaining to decompensated HF in particular. In this review, we synthesize current understandings around pathophysiology, prognostication and clinical management of heart failure (HF) patients, and also provide an outline of potential areas of future research and scientific advances.
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Affiliation(s)
| | - Abhisheik Prashar
- University of New South Wales, Sydney, NSW 2052, Australia
- Department of Cardiology, St George Hospital, Sydney, NSW 2217, Australia
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Boettcher M, Mikus G, Trenk D, Düngen HD, Donath F, Werner N, Karakas M, Besche N, Schulz-Burck D, Gerrits M, Hung J, Becker C. Vericiguat in combination with isosorbide mononitrate in patients with chronic coronary syndromes: The randomized, phase Ib, VISOR study. Clin Transl Sci 2022; 15:1204-1214. [PMID: 35299288 PMCID: PMC9099120 DOI: 10.1111/cts.13238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/14/2022] [Accepted: 01/21/2022] [Indexed: 11/29/2022] Open
Abstract
Vericiguat was developed for the treatment of symptomatic chronic heart failure (HF) in adult patients with reduced ejection fraction who are stabilized after a recent decompensation event. Guidelines recommend long‐acting nitrates, such as isosorbide mononitrate, for angina prophylaxis in chronic coronary syndromes (CCS), common comorbidities in HF. This study evaluated safety, tolerability, and the pharmacodynamic (PD) interaction between co‐administered vericiguat and isosorbide mononitrate in patients with CCS. In this phase Ib, double‐blind, multicenter study, patients were randomized 2:1 to receive vericiguat plus isosorbide mononitrate (n = 28) or placebo plus isosorbide mononitrate (n = 13). Isosorbide mononitrate was uptitrated to a stable dose of 60 mg once daily, followed by co‐administration with vericiguat (uptitrated every 2 weeks from 2.5 mg to 5 mg and 10 mg) or placebo. Thirty‐five patients completed treatment (vericiguat, n = 23; placebo, n = 12). Mean baseline‐ and placebo‐adjusted vital signs showed reductions of 1.4–5.1 mmHg (systolic blood pressure) and 0.4–2.9 mmHg (diastolic blood pressure) and increases of 0.0–1.8 beats per minute (heart rate) with vericiguat plus isosorbide mononitrate. No consistent vericiguat dose‐dependent PD effects were noted. The incidence of adverse events (AEs) was 92.3% and 66.7% in the vericiguat and placebo groups, respectively, and most were mild in intensity. Blood pressure and heart rate changes observed with vericiguat plus isosorbide mononitrate were not considered clinically relevant. This combination was generally well‐tolerated. Concomitant use of vericiguat with isosorbide mononitrate is unlikely to cause significant AEs beyond those known for isosorbide mononitrate.
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Affiliation(s)
- Michael Boettcher
- Clinical Pharmacology, Bayer AG, Wuppertal, Germany.,Graduate Physicist and Physician and Lecturer at the University of Applied Science at the RFH-Cologne, Cologne, Germany
| | - Gerd Mikus
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Dietmar Trenk
- Department of Cardiology and Angiology II, Section Clinical Pharmacology, Heart Center, University of Freiburg, Bad Krozingen, Germany
| | - Hans-Dirk Düngen
- Department of Internal Medicine, Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Nikos Werner
- Heart Center Trier, Krankenhaus der Barmherzigen Bruder, Nordallee, Trier, Germany
| | - Mahir Karakas
- Department of Intensive Care Medicine, University Medical Center, Hamburg Eppendorf, Hamburg, Germany
| | - Nina Besche
- Chrestos Concept GmbH & Co. KG, Essen, Germany
| | | | - Mireille Gerrits
- Merck Sharp & Dohme Corp, a Subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, USA
| | - James Hung
- Clinical Operations, Study Medical Experts, Bayer SA, São Paulo, Brazil
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15
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Vecsey-Nagy M, Szilveszter B, Kolossváry M, Boussoussou M, Vattay B, Merkely B, Maurovich-Horvat P, Radovits T, Nemcsik J. Correlation between Coronary Artery Calcium- and Different Cardiovascular Risk Score-Based Methods for the Estimation of Vascular Age in Caucasian Patients. J Clin Med 2022; 11:jcm11041111. [PMID: 35207388 PMCID: PMC8877766 DOI: 10.3390/jcm11041111] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023] Open
Abstract
Vascular age can be derived from cardiovascular (CV) risk scores such as the Framingham Risk Score (FRS) and the Systematic Coronary Risk Evaluation (SCORE). Recently, coronary artery calcium score (CACS) was proposed as a means of assessing arterial age. We aimed to compare these approaches for the assessment of vascular age. FRS-, SCORE-, and CACS-based vascular ages of 241 consecutive Caucasian patients undergoing coronary CT angiography were defined according to previously published methods. Vascular ages based on FRS, SCORE, and CACS were 68.0 (IQR: 55.0–82.0), 63.0 (IQR: 53.0–75.0), and 47.1 (IQR: 39.1–72.3) years, respectively, (p < 0.001). FRS- and SCORE-based biological age showed strong correlation [ICC: 0.91 (95%CI: 0.88–0.93)], while CACS-based vascular age moderately correlated with FRS- and SCORE-based vascular age [ICC: 0.66 (95%CI: 0.56–0.73) and ICC: 0.65 (95%CI: 0.56–0.73), respectively, both p < 0.001)]. Based on FRS, SCORE, and CACS, 83.4%, 93.8%, and 42.3% of the subjects had higher vascular age than their documented chronological age (FRS+, SCORE+, CACS+), and 53.2% of the FRS+ (107/201) and 57.1% of the SCORE+ (129/226) groups were classified as CACS-. Traditional risk equations demonstrate a tendency of overestimating vascular age in low- to intermediate-risk patients compared to CACS. Prospective studies are warranted to further evaluate the contribution of different vascular age calculations to CV preventive strategies.
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Affiliation(s)
- Milán Vecsey-Nagy
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
- Correspondence:
| | - Bálint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
| | - Márton Kolossváry
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
| | - Melinda Boussoussou
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
| | - Borbála Vattay
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
| | - Béla Merkely
- Cardiology Department, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.M.); (T.R.)
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.S.); (M.K.); (M.B.); (B.V.); (P.M.-H.)
- Medical Imaging Centre, Semmelweis University, 1082 Budapest, Hungary
| | - Tamás Radovits
- Cardiology Department, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.M.); (T.R.)
| | - János Nemcsik
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary;
- Health Service of Zugló (ZESZ), 1148 Budapest, Hungary
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16
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Alkhodari M, Jelinek HF, Karlas A, Soulaidopoulos S, Arsenos P, Doundoulakis I, Gatzoulis KA, Tsioufis K, Hadjileontiadis LJ, Khandoker AH. Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles. Front Cardiovasc Med 2021; 8:755968. [PMID: 34881307 PMCID: PMC8645593 DOI: 10.3389/fcvm.2021.755968] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/19/2021] [Indexed: 02/03/2023] Open
Abstract
Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It is an essential metric in categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) ejection fraction but differs, depending on whether the ASE/EACVI or ESC guidelines are used to classify HF. Objectives: We sought to investigate the effectiveness of using deep learning as an automated tool to predict LVEF from patient clinical profiles using regression and classification trained models. We further investigate the effect of utilizing other LVEF-based thresholds to examine the discrimination ability of deep learning between HF categories grouped with narrower ranges. Methods: Data from 303 CAD patients were obtained from American and Greek patient databases and categorized based on the American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE/EACVI) guidelines into HFpEF (EF > 55%), HFmEF (50% ≤ EF ≤ 55%), and HFrEF (EF < 50%). Clinical profiles included 13 demographical and clinical markers grouped as cardiovascular risk factors, medication, and history. The most significant and important markers were determined using linear regression fitting and Chi-squared test combined with a novel dimensionality reduction algorithm based on arc radial visualization (ArcViz). Two deep learning-based models were then developed and trained using convolutional neural networks (CNN) to estimate LVEF levels from the clinical information and for classification into one of three LVEF-based HF categories. Results: A total of seven clinical markers were found important for discriminating between the three HF categories. Using statistical analysis, diabetes, diuretics medication, and prior myocardial infarction were found statistically significant (p < 0.001). Furthermore, age, body mass index (BMI), anti-arrhythmics medication, and previous ventricular tachycardia were found important after projections on the ArcViz convex hull with an average nearest centroid (NC) accuracy of 94%. The regression model estimated LVEF levels successfully with an overall accuracy of 90%, average root mean square error (RMSE) of 4.13, and correlation coefficient of 0.85. A significant improvement was then obtained with the classification model, which predicted HF categories with an accuracy ≥93%, sensitivity ≥89%, 1-specificity <5%, and average area under the receiver operating characteristics curve (AUROC) of 0.98. Conclusions: Our study suggests the potential of implementing deep learning-based models clinically to ensure faster, yet accurate, automatic prediction of HF based on the ASE/EACVI LVEF guidelines with only clinical profiles and corresponding information as input to the models. Invasive, expensive, and time-consuming clinical testing could thus be avoided, enabling reduced stress in patients and simpler triage for further intervention.
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Affiliation(s)
- Mohanad Alkhodari
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
| | - Herbert F Jelinek
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, Biotechnology Center (BTC), Khalifa University, Abu Dhabi, United Arab Emirates
| | - Angelos Karlas
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department for Vascular and Endovascular Surgery, Rechts der Isar University Hospital, Technical University of Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Stergios Soulaidopoulos
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Petros Arsenos
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Doundoulakis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos A Gatzoulis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Tsioufis
- First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Leontios J Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ahsan H Khandoker
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
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17
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Bao L, Gao X, Xie K, Li Y. Is There a Diabetes-Kidney-Heart Continuum? Perspectives From the Results of the Cardiovascular and Renal Outcome Clinical Trials With SGLT2 Inhibitors. Front Cardiovasc Med 2021; 8:716083. [PMID: 34631819 PMCID: PMC8494970 DOI: 10.3389/fcvm.2021.716083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/23/2021] [Indexed: 01/10/2023] Open
Abstract
Heart failure is associated with a substantial risk of mortality and morbidity. Findings from recent cardiovascular outcome trials have shown promise for sodium-glucose cotransporter-2 (SGLT2) inhibitors in preventing heart failure in patients with type 2 diabetes mellitus (T2DM). Notably, the benefits of SGLT2 inhibitors were consistent despite the presence of risk factors like atherosclerosis. Increasing evidence suggests that SGLT2 inhibitors may confer their cardioprotective effects through multiple mechanisms, ranging from improving cardiac and vascular performance to metabolism. The reduction of heart failure risk by SGLT2 inhibitors may also be attributed to the preservation of renal function. Indeed, renal insufficiency is a frequent comorbidity of patients with heart failure and T2DM; hence, the natriuretic and kidney protective effects offered by SGLT2 inhibitors may contribute to limiting adverse cardiac outcomes. In this article, we discuss the latest findings from the cardiovascular and renal outcome trials, paying special attention to the interlink between heart and kidney function, and how effective treatment of heart failure-irrespective of T2DM diagnosis-may require agents that offer both cardiac and renal protection.
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Affiliation(s)
- Liwen Bao
- Department of Cardiology, Fuden University Affiliated Huashan Hospital, Shanghai, China
| | - Xiufang Gao
- Department of Cardiology, Fuden University Affiliated Huashan Hospital, Shanghai, China
| | - Kun Xie
- Department of Cardiology, Fuden University Affiliated Huashan Hospital, Shanghai, China
| | - Yong Li
- Department of Cardiology, Fuden University Affiliated Huashan Hospital, Shanghai, China
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18
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Jamal Jameel K, Gallert WJ, Yanik SD, Panek S, Kronsbein J, Jungck D, Koch A, Knobloch J. Biomarkers for Comorbidities Modulate the Activity of T-Cells in COPD. Int J Mol Sci 2021; 22:ijms22137187. [PMID: 34281240 PMCID: PMC8269158 DOI: 10.3390/ijms22137187] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/17/2021] [Accepted: 06/27/2021] [Indexed: 02/06/2023] Open
Abstract
In smoking-induced chronic obstructive pulmonary disease (COPD), various comorbidities are linked to systemic inflammation and infection-induced exacerbations. The underlying mechanisms are unclear but might provide therapeutic targets. T-cell activity is central in systemic inflammation and for infection-defense mechanisms and might be influenced by comorbidities. Hypothesis: Circulating biomarkers of comorbidities modulate the activity of T-cells of the T-helper type 1 (Th1) and/or T-cytotoxic type 1 (Tc1). T-cells in peripheral blood mononuclear cells (PBMCs) from non-smokers (NS), current smokers without COPD (S), and COPD subjects (total n = 34) were ex vivo activated towards Th1/Tc1 and were then stimulated with biomarkers for metabolic and/or cardiovascular comorbidities (Brain Natriuretic Peptide, BNP; chemokine (C-C motif) ligand 18, CCL18; C-X3-C motif chemokine ligand 1, CX3CL1; interleukin-18, IL-18) or for asthma- and/or cancer-related comorbidities (CCL22; epidermal growth factor, EGF; IL-17; periostin) each at 10 or 50 ng/mL. The Th1/Tc1 activation markers interferon-γ (IFNγ), tumor necrosis factor-α (TNFα), and granulocyte-macrophage colony-stimulating factor (GM-CSF) were analyzed in culture supernatants by Enzyme-Linked Immunosorbent Assay (ELISA). Ex-vivo activation induced IFNγ and TNFα without differences between the groups but GM-CSF more in S vs. NS. At 10 ng/mL, the different biomarkers increased or reduced the T-cell activation markers without a clear trend for one direction in the different categories of comorbidities or for the different T-cell activation markers. At 50 ng/mL, there was a clear shift towards suppressive effects, particularly for the asthma— and cancer-related biomarkers and in cells of S and COPD. Comorbidities might suppress T-cell immunity in COPD. This could explain the association of comorbidities with frequent exacerbations.
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Affiliation(s)
- Kaschin Jamal Jameel
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
| | - Willem-Jakob Gallert
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
| | - Sarah D. Yanik
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
| | - Susanne Panek
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
| | - Juliane Kronsbein
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
| | - David Jungck
- Department of Internal Medicine II, Pneumology, Allergology and Respiratory Medicine, Bethel Teaching Hospital, 12207 Berlin, Germany;
| | - Andrea Koch
- Pyhrn-Eisenwurzen-Klinikum Steyr, Klinik für Pneumologie, Lehrkrankenhaus der Uniklinik Linz, Sierninger Str. 170, 4400 Steyr, Austria;
- Ludwig-Maximilians-University of Munich (LMU) and DZL (German Center of Lung Science), 81377 Munich, Germany
| | - Jürgen Knobloch
- Medical Clinic III for Pneumology, Allergology and Sleep Medicine, Bergmannsheil University Hospital, Ruhr-University Bochum, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany; (K.J.J.); (W.-J.G.); (S.D.Y.); (S.P.); (J.K.)
- Correspondence: ; Tel.: +49-234-302-3404; Fax: +49-234-302-6420
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19
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Huang CH, Kor CT, Lian IB, Chang CC. Menopausal symptoms and risk of heart failure: a retrospective analysis from Taiwan National Health Insurance Database. ESC Heart Fail 2021; 8:3295-3307. [PMID: 34151548 PMCID: PMC8318496 DOI: 10.1002/ehf2.13480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 05/15/2021] [Accepted: 06/06/2021] [Indexed: 12/18/2022] Open
Abstract
Aims Women with menopausal symptoms show evidence of accelerated epigenetic ageing, vascular aging and low‐grade systemic inflammation status. However, data are limited regarding menopausal symptoms and risk of heart failure (HF). We aimed to explore the impact of menopausal symptoms on risk of HF. Methods We included 14 340 symptomatic menopausal women without a history of coronary heart disease (CHD) or HF from the Taiwan National Health Insurance Research Database as the experimental cohort. We included 14 340 asymptomatic women matched for age and comorbidities as controls. We surveyed possible comorbidity‐attributable risks of HF and assessed whether menopausal symptoms play a role in risk of HF. Additional analyses were conducted to ascertain the association of CHD and HF in different risk factor burdens categories in both cohorts and CHD was applied as a sensitivity analysis. Results The incidence of HF was not significantly lower in the experimental than in the control cohort (4.87 vs. 5.06 per 1000 person‐years, P = 0.336). Participants with a higher comorbidity burden had a proportionally increased risk of HF and CHD in both cohorts. The burden of risk factors had a greater impact on risk of HF in the control than in the experimental cohort (≥five risk factors, adjusted hazard ratio 25.69 vs. 14.75). Participants undergoing hormone therapy had no significant effect on the risk of HF, regardless of the presence or absence of menopausal symptoms. Subgroup analysis revealed that compared with the control cohort, the risk of HF in the experimental cohort did not increase significantly in all subgroups. Conclusions Menopausal symptoms were associated with CHD risk but not with risk of HF. Traditional risk factors rather than menopausal symptoms play important roles in the HF risk among middle‐aged women.
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Affiliation(s)
- Ching-Hui Huang
- Division of Cardiology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.,School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Beauty Science and Graduate Institute of Beauty Science Technology, Chienkuo Technology University, Changhua, Taiwan.,Department of Mathematics, National Changhua University of Education, Changhua, Taiwan
| | - Chew-Teng Kor
- Medical Research Center, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Ie-Bin Lian
- Department of Mathematics, National Changhua University of Education, Changhua, Taiwan
| | - Chia-Chu Chang
- Department of Internal Medicine, Kuang Tien General Hospital, Taichung, Taiwan.,Department of Nutrition, Hungkuang University, Taichung, Taiwan
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20
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Ischemic Etiology and Prognosis in Men and Women with Acute Heart Failure. J Clin Med 2021; 10:jcm10081713. [PMID: 33921155 PMCID: PMC8071524 DOI: 10.3390/jcm10081713] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/19/2022] Open
Abstract
Coronary heart disease is common in heart failure (HF). Our aim was to determine the impact of ischemic etiology on prognosis among men and women with HF. This study is a prospective national multicenter registry. The primary endpoint was 12-month mortality. Patients with HF and ischemic heart disease were stratified according to sex. A total of 1830 patients were enrolled of which 756 (41.3%) were women. Ischemic etiology was more common in men (446 (41.6%)) than in women (167 (22.2%)). Among patients with ischemic HF, diabetes was more frequent in women than in men. Ischemic etiology was not associated with higher mortality risk, and this was true for women (Hazard Ratio [HR] 1.51, 95% Confidence Interval [CI] 0.98–2.32; p = 0.61) and men (HR 1.14, 95% CI 0.81–1.61; p = 0.46), p-value for interaction: 0.067. Mortality/readmission risk in ischemic HF increased in men with previous readmissions (HR 1.15, 95% CI 1.02–1.29; p = 0.022), chronic obstructive pulmonary disease (HR1.20, 95% CI 1.02–1.41; p = 0.026) and in women with diabetes (HR 2.23, 95% CI 1.05–4.47; p = 0.035). Ischemic etiology was not associated with mortality in HF patients. In ischemic HF, the variables associated with a poor prognosis were diabetes in women and previous readmissions and chronic obstructive pulmonary disease in men.
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21
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Nowrouzi-Sohrabi P, Soroush N, Tabrizi R, Shabani-Borujeni M, Rezaei S, Jafari F, Hosseini-Bensenjan M, Stricker BH, van Hoek M, Ahmadizar F. Effect of Liraglutide on Cardiometabolic Risk Profile in People with Coronary Artery Disease with or without Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Front Pharmacol 2021; 12:618208. [PMID: 33854433 PMCID: PMC8039463 DOI: 10.3389/fphar.2021.618208] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/18/2021] [Indexed: 12/14/2022] Open
Abstract
Background: Whether liraglutide use improves cardiometabolic risk factors in different subsets of subjects with coronary artery disease (CAD) remains unclear. In a systematic review and meta-analysis, we quantified the effects of liraglutide on cardiometabolic risk profile in subjects with CAD with or without type 2 diabetes mellitus (T2D). Methods: Online database searches were conducted in PubMed, Scopus, EMBASE, Web of Science, Cochrane library, and Google Scholar from incept up to 15th January 2021. We identified randomized controlled trials (RCTs) assessing the effects of liraglutide compared to placebo on cardiometabolic risk profile. We used the random- or fixed-effect models to pool the weighted mean differences (WMDs) and 95% confidence intervals (CIs). Results: Out of a total of 7,320 citations, six articles (seven RCTs) with 294 subjects with CAD (mean age, 61.21 years; 19% women) were included. Our findings presented as WMD and 95% CI showed a statistical significant decrease in hemoglobin A1c (HbA1c) [−0.36%; −0.47; −0.26, p < 0.001; I2 = 0.0% (with 6 RCTs)], body mass index (BMI) [−0.61 kg/m2; −1.21; −0.01, p = 0.047; I2 = 72.2% (with five RCTs)], and waist circumference [−2.41 cm; −3.47; −1.36, p < 0.001; I2 = 0.0% (with three RCTs)]. Through a set of subgroup analyses, we found a significant reduction in BMI in CAD patients with T2D [WMD = −1.06; 95% CI, −1.42, −0.70, p < 0.001; I2 = 0.0% (with three RCTs)] compared to CAD only patients [WMD = −0.08; 95% CI, −0.45, 0.29, p = 0.66; I2 = 0.0% (with two RCTs)] in the liraglutide group compared with the placebo group. No significant changes in heart rate, blood pressure, and lipid profiles were observed. Conclusions: Among people with established CAD, liraglutide significantly improved HbA1c, BMI, and waist circumference values. The effect of liraglutide on BMI was more robust in individuals with T2D compared to those without.
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Affiliation(s)
- Peyman Nowrouzi-Sohrabi
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.,Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Negin Soroush
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Reza Tabrizi
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.,Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mojtaba Shabani-Borujeni
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Shahla Rezaei
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.,Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Jafari
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
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Prevention of Coronary Artery Disease-Related Heart Failure: The Role of Computed Tomography Scan. Heart Fail Clin 2021; 17:187-194. [PMID: 33673944 DOI: 10.1016/j.hfc.2021.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
During the past decade, coronary computed tomography angiography has emerged as the primary modality to noninvasively detect and rule out coronary artery disease. Therefore, this technique could play an important role in identifying patients at high risk of heart failure, considering the high prevalence of coronary artery disease in these patients. The latest technologies have also increased diagnostic accuracy, helping to close the gap with the other functional imaging modalities.
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Ahmed R, Botezatu B, Nanthakumar M, Kaloti T, Harky A. Surgery for heart failure: Treatment options and implications. J Card Surg 2021; 36:1511-1519. [PMID: 33527493 DOI: 10.1111/jocs.15384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/02/2021] [Accepted: 01/21/2021] [Indexed: 02/06/2023]
Abstract
Heart failure is considered one of the leading causes of death worldwide. Over the years, etiological risk factors, diagnostic criteria, and classifications have been revised to create guide management needed to alleviate the global health burden caused by heart failure. Pharmacological treatments have progressed over time but are insufficient in reducing mortality. This leads to many patients developing advanced heart failure who will require surgical intervention often in the form of the gold standard, a heart transplant. However, the number of patients requiring a transplant far exceeds the number of donors. Other surgical inventions have been utilized, yet the rate of patients being diagnosed with heart failure is still increasing. Future developments in the surgical field of heart failure include the 77SyncCardia and atrial shunting but long-term clinical trials involving larger cohorts of patients have not yet taken place to view how effective these approaches can be.
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Affiliation(s)
- Rukhsana Ahmed
- Medical School, St George's, University of London, Cranmer Terrace, UK
| | - Bianca Botezatu
- School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | | | - Tamara Kaloti
- Department of Epidemiology and Healthcare, University College London, London, UK
| | - Amer Harky
- Department of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, UK.,Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK.,Department of Cardiac surgery, Alder Hey NHS Foundation Trust, Liverpool, UK
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Gianazza E, Brioschi M, Martinez Fernandez A, Casalnuovo F, Altomare A, Aldini G, Banfi C. Lipid Peroxidation in Atherosclerotic Cardiovascular Diseases. Antioxid Redox Signal 2021; 34:49-98. [PMID: 32640910 DOI: 10.1089/ars.2019.7955] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Significance: Atherosclerotic cardiovascular diseases (ACVDs) continue to be a primary cause of mortality worldwide in adults aged 35-70 years, occurring more often in countries with lower economic development, and they constitute an ever-growing global burden that has a considerable socioeconomic impact on society. The ACVDs encompass diverse pathologies such as coronary artery disease and heart failure (HF), among others. Recent Advances: It is known that oxidative stress plays a relevant role in ACVDs and some of its effects are mediated by lipid oxidation. In particular, lipid peroxidation (LPO) is a process under which oxidants such as reactive oxygen species attack unsaturated lipids, generating a wide array of oxidation products. These molecules can interact with circulating lipoproteins, to diffuse inside the cell and even to cross biological membranes, modifying target nucleophilic sites within biomolecules such as DNA, lipids, and proteins, and resulting in a plethora of biological effects. Critical Issues: This review summarizes the evidence of the effect of LPO in the development and progression of atherosclerosis-based diseases, HF, and other cardiovascular diseases, highlighting the role of protein adduct formation. Moreover, potential therapeutic strategies targeted at lipoxidation in ACVDs are also discussed. Future Directions: The identification of valid biomarkers for the detection of lipoxidation products and adducts may provide insights into the improvement of the cardiovascular risk stratification of patients and the development of therapeutic strategies against the oxidative effects that can then be applied within a clinical setting.
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Affiliation(s)
- Erica Gianazza
- Proteomics Unit, Monzino Cardiology Center IRCCS, Milan, Italy
| | - Maura Brioschi
- Proteomics Unit, Monzino Cardiology Center IRCCS, Milan, Italy
| | | | | | | | - Giancarlo Aldini
- Department of Pharmaceutical Sciences, University of Milan, Milan, Italy
| | - Cristina Banfi
- Proteomics Unit, Monzino Cardiology Center IRCCS, Milan, Italy
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25
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Chronic kidney disease and concomitant sleep apnea are associated with increased overall mortality: a meta-analysis. Int Urol Nephrol 2020; 52:2337-2343. [PMID: 32740787 DOI: 10.1007/s11255-020-02583-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/25/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Sleep apnea (SA) is common in advanced chronic kidney disease (CKD) patients. However, the association between CKD with concomitant SA and overall mortality remains inconclusive. METHODS Ovid MEDLINE, EMBASE, and the Cochrane Library were searched for eligible publications, including non-transplant CKD patients aged > 18 years with co-existing SA. CKD is defined by estimated glomerular filtration rate of < 60 mL/min/1.73 m2. RESULTS Seven observational studies (n = 186,686) were included in the meta-analyses. 94.2% had end-stage kidney disease (ESKD) requiring hemodialysis (HD), 5.0% had ESKD requiring peritoneal dialysis (PD), and 0.8% had non-dialysis CKD. The mean age was 76.8 ± 2.2 years. Most patients were male (53.4%) and white (76.8%). Up to 39.3% had diabetes. The mean body mass index was 26.0 ± 0.6 kg/m2. Among patients with advanced CKD and SA, the pooled estimated odds ratios (OR) for overall mortality and cardiovascular events were 2.092 (95% CI, 1.594-2.744) and 1.020 (95% CI, 0.929-1.119), respectively, compared to patients with CKD alone. The OR was 2.145 (95% CI, 1.563-2.944) when studies with polysomnography-diagnosed SA were examined independently. No potential publication bias was detected. There were no significant differences in odds ratios for overall mortality, based on subgroup analyses. CONCLUSION Co-existence between advanced CKD and SA is associated with increased overall mortality, but not cardiovascular (CV) events when compared with CKD alone. The analysis of CV events requires additional studies to confirm our findings. Moreover, clinical interventions aiming to prevent the progression of SA and CKD are encouraged.
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27
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Xanthopoulos A, Dimos A, Giamouzis G, Bourazana A, Zagouras A, Papamichalis M, Kitai T, Skoularigis J, Triposkiadis F. Coexisting Morbidities in Heart Failure: No Robust Interaction with the Left Ventricular Ejection Fraction. Curr Heart Fail Rep 2020; 17:133-144. [PMID: 32524363 DOI: 10.1007/s11897-020-00461-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW Heart failure (HF) patients often present with multiple coexisting morbidities. In this review, we contend that coexisting morbidities are highly prevalent and clinically important regardless of the left ventricular ejection fraction (LVEF). RECENT FINDINGS Multimorbidity is prevalent in the ambulatory subjects of the community and increases with age. Differences in the prevalence of coexisting morbidities between HF with preserved LVEF (> 50%), mid-range LVEF (40-50%), and reduced LVEF (< 40%) are either not demonstrable or whenever present are small and unrelated to morbidity and mortality. The constellation of coexisting morbidities together with the disease modifiers (age, sex, genes, other) defines the HF phenotype and outcome. There is no robust evidence supporting an interaction in HF patients between the prevalence and clinical significance of coexisting morbidities and the LVEF.
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Affiliation(s)
- Andrew Xanthopoulos
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Apostolos Dimos
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Grigorios Giamouzis
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Angeliki Bourazana
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Alexandros Zagouras
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Michail Papamichalis
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Takeshi Kitai
- Departments of Cardiovascular Medicine and Clinical Research Support, Kobe City Medical Center General Hospital, Kobe, Japan
| | - John Skoularigis
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece
| | - Filippos Triposkiadis
- Department of Cardiology, University General Hospital of Larissa, P.O. Box 1425, 411 10, Larissa, Greece.
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28
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Pala R, Anju VT, Dyavaiah M, Busi S, Nauli SM. Nanoparticle-Mediated Drug Delivery for the Treatment of Cardiovascular Diseases. Int J Nanomedicine 2020; 15:3741-3769. [PMID: 32547026 PMCID: PMC7266400 DOI: 10.2147/ijn.s250872] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular diseases (CVDs) are one of the foremost causes of high morbidity and mortality globally. Preventive, diagnostic, and treatment measures available for CVDs are not very useful, which demands promising alternative methods. Nanoscience and nanotechnology open a new window in the area of CVDs with an opportunity to achieve effective treatment, better prognosis, and less adverse effects on non-target tissues. The application of nanoparticles and nanocarriers in the area of cardiology has gathered much attention due to the properties such as passive and active targeting to the cardiac tissues, improved target specificity, and sensitivity. It has reported that more than 50% of CVDs can be treated effectively through the use of nanotechnology. The main goal of this review is to explore the recent advancements in nanoparticle-based cardiovascular drug carriers. This review also summarizes the difficulties associated with the conventional treatment modalities in comparison to the nanomedicine for CVDs.
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Affiliation(s)
- Rajasekharreddy Pala
- Department of Biomedical and Pharmaceutical Sciences, Harry and Diane Rinker Health Science Campus, Chapman University, Irvine, CA92618, USA
- Department of Medicine, University of California Irvine, Irvine, CA92868, USA
| | - V T Anju
- Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Puducherry, India
| | - Madhu Dyavaiah
- Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Puducherry, India
| | - Siddhardha Busi
- Department of Microbiology, School of Life Sciences, Pondicherry University, Puducherry, India
| | - Surya M Nauli
- Department of Biomedical and Pharmaceutical Sciences, Harry and Diane Rinker Health Science Campus, Chapman University, Irvine, CA92618, USA
- Department of Medicine, University of California Irvine, Irvine, CA92868, USA
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29
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Genetic Risk Score for Coronary Disease Identifies Predispositions to Cardiovascular and Noncardiovascular Diseases. J Am Coll Cardiol 2020; 73:2932-2942. [PMID: 31196449 DOI: 10.1016/j.jacc.2019.03.512] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/08/2019] [Accepted: 03/19/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND The taxonomy of cardiovascular (CV) diseases is divided into a broad spectrum of clinical entities. Many such diseases coincide in specific patient groups and suggest shared predisposition. OBJECTIVES This study focused on coronary artery disease (CAD) and investigated the genetic relationship to CV and non-CV diseases with reported CAD comorbidity. METHODS This study examined 425,196 UK Biobank participants to determine a genetic risk score (GRS) based on 300 CAD associated variants (CAD-GRS). This score was associated with 22 traits, including risk factors, diseases secondary to CAD, as well as comorbid and non-CV conditions. Sensitivity analyses were performed in individuals free from CAD or stable angina diagnosis. RESULTS Hypercholesterolemia (odds ratio [OR]: 1.27; 95% CI: 1.26 to 1.29) and hypertension (OR: 1.11; 95% CI: 1.10 to 1.12) were strongly associated with the CAD-GRS, which indicated that the score contained variants predisposing to these conditions. However, the CAD-GRS was also significant in patients with CAD who were free of CAD risk factors (OR: 1.37; 95% CI: 1.30 to 1.44). The study observed significant associations between the CAD-GRS and peripheral arterial disease (OR: 1.28; 95% CI: 1.23 to 1.32), abdominal aortic aneurysms (OR: 1.28; 95% CI: 1.20 to 1.37), and stroke (OR: 1.08; 95% CI: 1.05 to 1.10), which remained significant in sensitivity analyses that suggested shared genetic predisposition. The score was also associated with heart failure (OR: 1.25; 95% CI: 1.22 to 1.29), atrial fibrillation (OR: 1.08; 95% CI: 1.05 to 1.10), and premature death (OR: 1.04; 95% CI: 1.02 to 1.06). These associations were abolished in sensitivity analyses that indicated that they were secondary to prevalent CAD. Finally, an inverse association was observed between the score and migraine headaches (OR: 0.94; 95% CI: 0.93 to 0.96). CONCLUSIONS A wide spectrum of CV conditions, including premature death, might develop consecutively or in parallel with CAD for the same genetic roots. In conditions like heart failure, the study found evidence that the CAD-GRS could be used to stratify patients with no or limited genetic overlap with CAD risk. Increased genetic predisposition to CAD was inversely associated with migraine headaches.
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30
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Shah S, Henry A, Roselli C, Lin H, Sveinbjörnsson G, Fatemifar G, Hedman ÅK, Wilk JB, Morley MP, Chaffin MD, Helgadottir A, Verweij N, Dehghan A, Almgren P, Andersson C, Aragam KG, Ärnlöv J, Backman JD, Biggs ML, Bloom HL, Brandimarto J, Brown MR, Buckbinder L, Carey DJ, Chasman DI, Chen X, Chen X, Chung J, Chutkow W, Cook JP, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Dunn ME, Engström G, Esko T, Felix SB, Finan C, Ford I, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gutmann R, Haggerty CM, van der Harst P, Hyde CL, Ingelsson E, Jukema JW, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Margulies KB, März W, Melander O, Mordi IR, Morgan T, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Niessner A, Niiranen T, O'Donoghue ML, Owens AT, Palmer CNA, Parry HM, Perola M, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Rotter JI, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stender S, Stott DJ, Svensson P, Tammesoo ML, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tyl B, Uitterlinden AG, Veluchamy A, Völker U, Voors AA, Wang X, Wareham NJ, Waterworth D, Weeke PE, Weiss R, Wiggins KL, Xing H, Yerges-Armstrong LM, Yu B, Zannad F, Zhao JH, Hemingway H, Samani NJ, McMurray JJV, Yang J, Visscher PM, Newton-Cheh C, Malarstig A, Holm H, Lubitz SA, Sattar N, Holmes MV, Cappola TP, Asselbergs FW, Hingorani AD, Kuchenbaecker K, Ellinor PT, Lang CC, Stefansson K, Smith JG, Vasan RS, Swerdlow DI, Lumbers RT. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nat Commun 2020; 11:163. [PMID: 31919418 PMCID: PMC6952380 DOI: 10.1038/s41467-019-13690-5] [Citation(s) in RCA: 431] [Impact Index Per Article: 107.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 11/18/2019] [Indexed: 12/20/2022] Open
Abstract
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
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Affiliation(s)
- Sonia Shah
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
| | - Albert Henry
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Carolina Roselli
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
| | | | - Ghazaleh Fatemifar
- British Heart Foundation Research Accelerator, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- Health Data Research UK London, University College London, London, UK
| | - Åsa K Hedman
- Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Jemma B Wilk
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - Michael P Morley
- Penn Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark D Chaffin
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna Helgadottir
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Niek Verweij
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, St Mary's Campus, London, W2 1PG, UK
| | - Peter Almgren
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Charlotte Andersson
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
- Department of Cardiology, Herlev Gentofte Hospital, Herlev Ringvej 57, 2650, Herlev, Denmark
| | - Krishna G Aragam
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society/ Section of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden
- School of Health and Social Sciences, Dalarna University, Falun, Sweden
| | - Joshua D Backman
- Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Heather L Bloom
- Division of Cardiology, Department of Medicine, Emory University Medical Center, Atlanta, GA, USA
| | - Jeffrey Brandimarto
- Penn Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael R Brown
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, Texas, USA
| | - Leonard Buckbinder
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - David J Carey
- Department of Molecular and Functional Genomics, Geisinger, Danville, PA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Xing Chen
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan Chung
- Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - William Chutkow
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Graciela E Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Spiros Denaxas
- British Heart Foundation Research Accelerator, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- Health Data Research UK London, University College London, London, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK
- The Alan Turing Institute, London, United Kingdom
| | - Alexander S Doney
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Samuel C Dudley
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Michael E Dunn
- Regeneron Pharmaceuticals, Cardiovascular Research, 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Tõnu Esko
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Stephan B Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Chris Finan
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sahar Ghasemi
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, 75185, Sweden
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - John S Gottdiener
- Department of Medicine, Division of Cardiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stefan Gross
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Daníel F Guðbjartsson
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, 101, Reykjavik, Iceland
| | - Rebecca Gutmann
- Division of Cardiovascular Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | | | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands
| | - Craig L Hyde
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, 94305, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, 94305, USA
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Lars Køber
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Andrea Koekemoer
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Cecilia M Lindgren
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Barry London
- Division of Cardiovascular Medicine and Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA, USA
| | - Luca A Lotta
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Ruth C Lovering
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Patrik Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kenneth B Margulies
- Penn Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Winfried März
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Olle Melander
- Department of Internal Medicine, Clinical Sciences, Lund University and Skåne University Hospital, Malmö, Sweden
| | - Ify R Mordi
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Thomas Morgan
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Andrew D Morris
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alanna C Morrison
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, Texas, USA
| | - Michael W Nagle
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Alexander Niessner
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Teemu Niiranen
- National Institute for Health and Welfare, Helsinki, Finland
- Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Michelle L O'Donoghue
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Anjali T Owens
- Penn Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Colin N A Palmer
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Helen M Parry
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
| | - Eliana Portilla-Fernandez
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Bruce M Psaty
- Department of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Simon P R Romaine
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Perttu Salo
- National Institute for Health and Welfare, Helsinki, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Jessica van Setten
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - Alaa A Shalaby
- Division of Cardiology, Department of Medicine, University of Pittsburgh Medical Center and VA Pittsburgh HCS, Pittsburgh, PA, USA
| | - Diane T Smelser
- Department of Molecular and Functional Genomics, Geisinger, Danville, PA, USA
| | - Nicholas L Smith
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research & Development, Seattle, WA, USA
| | - Steen Stender
- Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte, København, Denmark
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Per Svensson
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Södersjukhuset, Stockholm, Sweden
| | - Mari-Liis Tammesoo
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, LABiomed and Departments of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Alexander Teumer
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Guðmundur Thorgeirsson
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
- Division of Cardiology, Department of Internal Medicine, Landspitali, National University Hospital of Iceland, Hringbraut, 101, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
- Faculty of Medicine, Department of Medicine, University of Iceland, Saemundargata 2, 101, Reykjavik, Iceland
| | - Christian Torp-Pedersen
- Department of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
- Department of Health, Science and Technology, Aalborg University Hospital, Aalborg, Denmark
- Departments of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Benoit Tyl
- Translational and Clinical Research, Servier Cardiovascular Center for Therapeutic Innovation, 50 rue Carnot, 92284, Suresnes, France
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Abirami Veluchamy
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Adriaan A Voors
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Xiaosong Wang
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | | | - Peter E Weeke
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Raul Weiss
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University Medical Center, Columbus, OH, USA
| | - Kerri L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Heming Xing
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | | | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, Texas, USA
| | - Faiez Zannad
- Université de Lorraine, CHU de Nancy, Inserm and INI-CRCT (F-CRIN), Institut Lorrain du Coeur et des Vaisseaux, 54500, Vandoeuvre Lès, Nancy, France
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Harry Hemingway
- British Heart Foundation Research Accelerator, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- Health Data Research UK London, University College London, London, UK
- BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - John J V McMurray
- BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Jian Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Christopher Newton-Cheh
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - Anders Malarstig
- Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
- Pfizer Worldwide Research & Development, 1 Portland St, Cambridge, MA, USA
| | - Hilma Holm
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Steven A Lubitz
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Naveed Sattar
- BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, UK
| | - Thomas P Cappola
- Penn Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, London, UK
- British Heart Foundation Research Accelerator, University College London, London, UK
| | - Karoline Kuchenbaecker
- Division of Psychiatry, University College of London, London, W1T 7NF, UK
- UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Patrick T Ellinor
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Chim C Lang
- Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK
| | - Kari Stefansson
- deCODE genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
- Faculty of Medicine, Department of Medicine, University of Iceland, Saemundargata 2, 101, Reykjavik, Iceland
| | - J Gustav Smith
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden
| | - Ramachandran S Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
- Sections of Cardiology, Preventive Medicine and Epidemiology, Department of Medicine, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, London, UK
| | - R Thomas Lumbers
- British Heart Foundation Research Accelerator, University College London, London, UK.
- Institute of Health Informatics, University College London, London, UK.
- Health Data Research UK London, University College London, London, UK.
- Bart's Heart Centre, St. Bartholomew's Hospital, London, UK.
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Bergsten TM, Nicholson A, Donnino R, Wang B, Fang Y, Natarajan S. Predicting adults likely to develop heart failure using readily available clinical information: An analysis of heart failure incidence using the NHEFS. Prev Med 2020; 130:105878. [PMID: 31678585 DOI: 10.1016/j.ypmed.2019.105878] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 08/21/2019] [Accepted: 10/23/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND Heart failure is a heavy burden on the health care system in the United States. Once heart failure develops, the quality of life and longevity are dramatically affected. As such, its prevention is critical for the well-being of at risk patients. We evaluated the predictive ability of readily available clinical information to identify those likely to develop heart failure. METHODS We used a classification and regression tree (CART) model to determine the top predictors for heart failure incidence using the NHANES Epidemiologic Follow-up Study (NHEFS). The identified predictors were hypertension, diabetes, obesity, and myocardial infarction (MI). We evaluated the relationship between these variables and incident heart failure by the product-limit method and Cox models. All analyses incorporated the complex sample design to provide population estimates. RESULTS We analyzed data from 14,407 adults in the NHEFS. Participants with diabetes, MI, hypertension, or obesity had a higher incidence of heart failure than those without risk factors, with diabetes and MI being the most potent predictors. Individuals with multiple risk factors had a higher incidence of heart failure as well as a higher hazard ratio than those with just one risk factor. Combinations that included diabetes and MI had the highest incidence rates of heart failure per 1000 person years and the highest hazard ratios for incident heart failure. CONCLUSIONS Having diabetes, MI, hypertension or obesity significantly increased the risk for incident heart failure, especially combinations including diabetes and MI. This suggests that individuals with these conditions, singly or in combination, should be prioritized in efforts to predict and prevent heart failure incidence.
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Affiliation(s)
- Tova M Bergsten
- VA New York Harbor Healthcare System, New York, NY, United States of America
| | - Andrew Nicholson
- VA New York Harbor Healthcare System, New York, NY, United States of America
| | - Robert Donnino
- VA New York Harbor Healthcare System, New York, NY, United States of America; New York University School of Medicine, New York, NY, United States of America
| | - Binhuan Wang
- VA New York Harbor Healthcare System, New York, NY, United States of America; New York University School of Medicine, New York, NY, United States of America
| | - Yixin Fang
- New York University School of Medicine, New York, NY, United States of America
| | - Sundar Natarajan
- VA New York Harbor Healthcare System, New York, NY, United States of America; New York University School of Medicine, New York, NY, United States of America.
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32
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Ali A, Bain S, Hicks D, Newland Jones P, Patel DC, Evans M, Fernando K, James J, Milne N, Viljoen A, Wilding J. SGLT2 Inhibitors: Cardiovascular Benefits Beyond HbA1c-Translating Evidence into Practice. Diabetes Ther 2019; 10:1595-1622. [PMID: 31290126 PMCID: PMC6778582 DOI: 10.1007/s13300-019-0657-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Indexed: 02/07/2023] Open
Abstract
Cardiovascular disease (CVD), including heart failure (HF), is a leading cause of morbidity and mortality in people with type 2 diabetes mellitus (T2DM). CVD and T2DM share common risk factors for development and progression, and there is significant overlap between the conditions in terms of worsening outcomes. In assessing the cardiovascular (CV) safety profiles of anti-diabetic drugs, sodium-glucose co-transporter-2 inhibitor (SGLT2i) therapies have emerged with robust evidence for reducing the risk of adverse CVD outcomes in people with T2DM who have either established CVD or are at risk of developing CVD. A previous consensus document from the Improving Diabetes Steering Committee has examined the potential role of SGLT2is in T2DM management and considered the risk-benefit profile of the class and the appropriate place for these medicines within the T2DM pathway. This paper builds on these findings and presents practical guidance for maximising the pleiotropic benefits of this class of medicines in people with T2DM in terms of reducing adverse CVD outcomes. The Improving Diabetes Steering Committee aims to offer evidence-based practical guidance for the use of SGLT2i therapies in people with T2DM stratified by CVD risk. This is of particular importance currently because some treatment guidelines have not been updated to reflect recent evidence from cardiovascular outcomes trials (CVOTs) and real-world studies that complement the CVOTs. The Improving Diabetes Steering Committee seeks to support healthcare professionals (HCPs) in appropriate treatment selection for people with T2DM who are at risk of developing or have established CVD and examines the role of SGLT2i therapy for these people.Funding: Napp Pharmaceuticals Limited.
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Affiliation(s)
- Amar Ali
- Oakenhurst Medical Practice, Blackburn, UK
| | - Steve Bain
- Diabetes Research Unit Cymru, Swansea University, Swansea, UK
| | | | | | - Dipesh C Patel
- Department of Diabetes and Endocrinology, Division of Medicine, University College London, London, UK
| | - Marc Evans
- Department of Diabetes, University Hospital Llandough, Llandough, UK
| | | | - June James
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Nicola Milne
- CODES (Community Diabetes Education and Support), Manchester University NHS Foundation Trust, Manchester, UK
| | - Adie Viljoen
- Department of Metabolic Medicine/Chemical Pathology, Lister Hospital, Stevenage, UK
| | - John Wilding
- Obesity and Endocrinology Research, University of Liverpool, Liverpool, UK.
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Francic V, Keppel M, Schwetz V, Trummer C, Pandis M, Borzan V, Grübler MR, Verheyen ND, Kleber ME, Delgado G, Moissl AP, Dieplinger B, März W, Tomaschitz A, Pilz S, Obermayer-Pietsch B. Are soluble ST2 levels influenced by vitamin D and/or the seasons? Endocr Connect 2019; 8:691-700. [PMID: 32022412 PMCID: PMC6528407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 04/29/2019] [Indexed: 10/27/2023]
Abstract
Objective Cardiovascular disease manifestation and several associated surrogate markers, such as vitamin D, have shown substantial seasonal variation. A promising cardiovascular biomarker, soluble ST2 (sST2), has not been investigated in this regard – we therefore determined if systemic levels of sST2 are affected by seasonality and/or vitamin D in order to investigate their clinical interrelation and usability. Design sST2 levels were measured in two cohorts involving hypertensive patients at cardiovascular risk, the Styrian Vitamin D Hypertension Trial (study A; RCT design, 8 weeks 2800 IU cholecalciferol daily) and the Ludwigshafen Risk and Cardiovascular Health Study (LURIC; study B; cross-sectional design).
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Affiliation(s)
- Vito Francic
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Martin Keppel
- Department of Laboratory Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Verena Schwetz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Christian Trummer
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Marlene Pandis
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Valentin Borzan
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Martin R Grübler
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Nicolas D Verheyen
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Graciela Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Angela P Moissl
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Benjamin Dieplinger
- Department of Laboratory Medicine, Konventhospital Barmherzige Brueder Linz, Linz, Austria
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Synlab Holding Germany GmbH, Heidelberg, Germany
| | - Andreas Tomaschitz
- Specialist Clinic of Rehabilitation Bad Gleichenberg, Bad Gleichenberg, Austria
| | - Stefan Pilz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Barbara Obermayer-Pietsch
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
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34
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Francic V, Keppel M, Schwetz V, Trummer C, Pandis M, Borzan V, Grübler MR, Verheyen ND, Kleber ME, Delgado G, Moissl AP, Dieplinger B, März W, Tomaschitz A, Pilz S, Obermayer-Pietsch B. Are soluble ST2 levels influenced by vitamin D and/or the seasons? Endocr Connect 2019; 8. [PMID: 32022412 PMCID: PMC6528407 DOI: 10.1530/ec-19-0090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Cardiovascular disease manifestation and several associated surrogate markers, such as vitamin D, have shown substantial seasonal variation. A promising cardiovascular biomarker, soluble ST2 (sST2), has not been investigated in this regard – we therefore determined if systemic levels of sST2 are affected by seasonality and/or vitamin D in order to investigate their clinical interrelation and usability. DESIGN sST2 levels were measured in two cohorts involving hypertensive patients at cardiovascular risk, the Styrian Vitamin D Hypertension Trial (study A; RCT design, 8 weeks 2800 IU cholecalciferol daily) and the Ludwigshafen Risk and Cardiovascular Health Study (LURIC; study B; cross-sectional design).
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Affiliation(s)
- Vito Francic
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
- Correspondence should be addressed to V Francic:
| | - Martin Keppel
- Department of Laboratory Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Verena Schwetz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Christian Trummer
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Marlene Pandis
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Valentin Borzan
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Martin R Grübler
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Nicolas D Verheyen
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Graciela Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Angela P Moissl
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Benjamin Dieplinger
- Department of Laboratory Medicine, Konventhospital Barmherzige Brueder Linz, Linz, Austria
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Synlab Holding Germany GmbH, Heidelberg, Germany
| | - Andreas Tomaschitz
- Specialist Clinic of Rehabilitation Bad Gleichenberg, Bad Gleichenberg, Austria
| | - Stefan Pilz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Barbara Obermayer-Pietsch
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
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Baril JF, Bromberg S, Moayedi Y, Taati B, Manlhiot C, Ross HJ, Cafazzo J. Use of Free-Living Step Count Monitoring for Heart Failure Functional Classification: Validation Study. JMIR Cardio 2019; 3:e12122. [PMID: 31758777 PMCID: PMC6834224 DOI: 10.2196/12122] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 12/13/2018] [Accepted: 05/02/2019] [Indexed: 01/07/2023] Open
Abstract
Background The New York Heart Association (NYHA) functional classification system has poor inter-rater reproducibility. A previously published pilot study showed a statistically significant difference between the daily step counts of heart failure (with reduced ejection fraction) patients classified as NYHA functional class II and III as measured by wrist-worn activity monitors. However, the study’s small sample size severely limits scientific confidence in the generalizability of this finding to a larger heart failure (HF) population. Objective This study aimed to validate the pilot study on a larger sample of patients with HF with reduced ejection fraction (HFrEF) and attempt to characterize the step count distribution to gain insight into a more objective method of assessing NYHA functional class. Methods We repeated the analysis performed during the pilot study on an independently recorded dataset comprising a total of 50 patients with HFrEF (35 NYHA II and 15 NYHA III) patients. Participants were monitored for step count with a Fitbit Flex for a period of 2 weeks in a free-living environment. Results Comparing group medians, patients exhibiting NYHA class III symptoms had significantly lower recorded 2-week mean daily total step count (3541 vs 5729 [steps], P=.04), lower 2-week maximum daily total step count (10,792 vs 5904 [steps], P=.03), lower 2-week recorded mean daily mean step count (4.0 vs 2.5 [steps/minute], P=.04,), and lower 2-week mean and 2-week maximum daily per minute step count maximums (88.1 vs 96.1 and 111.0 vs 123.0 [steps/minute]; P=.02 and .004, respectively). Conclusions Patients with NYHA II and III symptoms differed significantly by various aggregate measures of free-living step count including the (1) mean and (2) maximum daily total step count as well as by the (3) mean of daily mean step count and by the (4) mean and (5) maximum of the daily per minute step count maximum. These findings affirm that the degree of exercise intolerance of NYHA II and III patients as a group is quantifiable in a replicable manner. This is a novel and promising finding that suggests the existence of a possible, completely objective measure of assessing HF functional class, something which would be a great boon in the continuing quest to improve patient outcomes for this burdensome and costly disease.
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Affiliation(s)
- Jonathan-F Baril
- Centre for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, Canada.,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Simon Bromberg
- Centre for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, Canada.,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Yasbanoo Moayedi
- Ted Rogers Centre of Excellence in Heart Function, University Health Network, Toronto, ON, Canada
| | - Babak Taati
- Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Cedric Manlhiot
- Ted Rogers Centre of Excellence in Heart Function, University Health Network, Toronto, ON, Canada
| | - Heather Joan Ross
- Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,Ted Rogers Centre of Excellence in Heart Function, University Health Network, Toronto, ON, Canada
| | - Joseph Cafazzo
- Centre for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, Canada.,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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Norouzi H, Ziaie N, Saravi M, Norouzi A, Noei-Teymoordash S, Jokar-Darzi F, Norouzi F, Rajabi-Fumashi M, Zahedi-Tajrishi F, Norouzi S. Association of vitamin D deficiency and premature coronary artery disease. CASPIAN JOURNAL OF INTERNAL MEDICINE 2019; 10:80-85. [PMID: 30858945 PMCID: PMC6386332 DOI: 10.22088/cjim.10.1.80] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background: Evidence suggests hypovitaminosis D is associated with increased risk of coronary artery disease (CAD) and its extent and related risk factors. However, some investigations have produced contrary results. Therefore, we aimed to evaluate the association between serum vitamin D levels and the severity of premature coronary artery involvement. Methods: This randomized prospective, case-control study was conducted in Babol from April 2013 to June 2017. We collected the demographic data and measured serum 25-OH-D levels of 294 patients (age≤50 years) diagnosed with CAD with coronary angiography as case group as well as 438 age and sex-matched controls. CAD severity was assessed using the Gensini score. Statistical analyses were used to assess the associations and p<0.05 was considered as significant. Results: The mean serum level of 25-OH-D was 13.12±11.13 and 18.28±8.34 in case and control groups, respectively (P=0.036). In the case group, mean serum vitamin D levels were significantly lower among hypertensives (P=0.018), those with a family history of CVD (P=0.016) and those who used aspirin (P=0.036). The mean Gensini score of patients in the case group was 45.02±23.62 and was higher among men (P=0.022). There was a weak significant correlation between the serum vitamin D levels and the Gensini score (P=0.001 & R=-0.543). The mean Gensini score was not significantly different between patients with deficient (47.02±22.78), insufficient (26.0±21.72) and sufficient (39.0±43.84) vitamin D levels (P>0.05). Conclusion: The results showed that the lower levels of vitamin D is associated with increased risk and extent of coronary artery involvement as well as some of the risk factors of CAD, including male gender, hypertension and positive family history for CVD.
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Affiliation(s)
- Hamidreza Norouzi
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Naghmeh Ziaie
- Department of Cardiology, Babol University of Medical Sciences, Babol, Iran
| | - Mehrdad Saravi
- Department of Cardiology, Babol University of Medical Sciences, Babol, Iran
| | - Alireza Norouzi
- Department of Cardiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Fazilat Jokar-Darzi
- Department of Internal Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Fateme Norouzi
- Department of Midwifery, Tehran University of Medical Sciences, Tehran, Iran
| | - Maede Rajabi-Fumashi
- Department of Internal Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Farbod Zahedi-Tajrishi
- Student Research Committee, Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Shahram Norouzi
- Department of Pediatrics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Sun S, Kee HJ, Ryu Y, Choi SY, Kim GR, Kim HS, Kee SJ, Jeong MH. Gentisic acid prevents the transition from pressure overload-induced cardiac hypertrophy to heart failure. Sci Rep 2019; 9:3018. [PMID: 30816171 PMCID: PMC6395621 DOI: 10.1038/s41598-019-39423-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 01/18/2019] [Indexed: 12/31/2022] Open
Abstract
We previously reported that gentisic acid attenuates cardiac hypertrophy and fibrosis in transverse aortic constriction (TAC)-induced cardiac hypertrophy. Here, we examined whether gentisic acid prevents the development of heart failure. Heart failure was induced in mice via chronic TAC. Mice were administered the vehicle, gentisic acid (10 and 100 mg∙kg-1∙day-1), or bisoprolol (0.5 mg∙kg-1∙day-1) orally for 3 weeks, beginning 3 weeks after TAC. After oral administration of gentisic acid (2000 mg∙kg-1), no significant differences in organ weight, histology, or analyzed serum and hematological parameters were observed between female mice in the control and gentisic acid-treated groups. Gentisic acid administration inhibited cardiac dysfunction in a dose-dependent manner, and reduced cardiac hypertrophy and fibrosis, as was revealed via western blotting, quantitative real-time PCR, and Masson's trichrome staining. Gentisic acid dose-dependently reduced the expression of fibrosis marker genes, suppressed the renin-angiotensin-aldosterone system, and reduced lung size and pulmonary vascular remodeling. Our data indicate that gentisic acid prevents cardiac hypertrophy, fibrosis, cardiac dysfunction, and pulmonary pathology in TAC-induced heart failure. These findings suggest that supplementation with gentisic acid may provide an advantage in preventing the progression from cardiac hypertrophy to heart failure.
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Affiliation(s)
- Simei Sun
- Zhoushan Hospital, Zhejiang University School of Medicine, No 739, Dingshen Road Lincheng New District, Zhoushan Zhejiang, 316021, China.,Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Molecular Medicine, BK21 plus, Chonnam National University Graduate School, Gwangju, 61469, Republic of Korea
| | - Hae Jin Kee
- Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea. .,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.
| | - Yuhee Ryu
- Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
| | - Sin Young Choi
- Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Molecular Medicine, BK21 plus, Chonnam National University Graduate School, Gwangju, 61469, Republic of Korea
| | - Gwi Ran Kim
- Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
| | - Hyung-Seok Kim
- Department of Forensic Medicine, Chonnam National University Medical School, Gwangju, 61469, Republic of Korea
| | - Seung-Jung Kee
- Department of Laboratory Medicine, Chonnam National University, Medical School and Hospital, Gwangju, 61469, Republic of Korea
| | - Myung Ho Jeong
- Heart Research Center of Chonnam National University Hospital, Gwangju, 61469, Republic of Korea. .,Hypertension Heart Failure Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea.
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Maagaard M, Nielsen EE, Gluud C, Jakobsen JC. Ivabradine for coronary artery disease and/or heart failure-a protocol for a systematic review of randomised clinical trials with meta-analysis and Trial Sequential Analysis. Syst Rev 2019; 8:39. [PMID: 30709418 PMCID: PMC6357471 DOI: 10.1186/s13643-019-0957-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 01/22/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Coronary artery disease and heart failure are both highly prevalent diseases with a global prevalence of 93 million and 40 million. These patients are at increased risk of morbidity and mortality. The management of these patients involves medical therapy, and both diseases can be treated using the heart rate-lowering drug ivabradine. However, the evidence regarding the use of ivabradine in the treatment of coronary artery disease and/or heart failure is unclear. Our objective is to assess the beneficial and harmful effects of ivabradine in the treatment of coronary artery disease and/or heart failure. METHODS This protocol for a systematic review was undertaken using the recommendations of The Cochrane Collaboration, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P), and the eight-step assessment procedure suggested by Jakobsen and colleagues. We plan to include all relevant randomised clinical trials assessing the use of ivabradine in the treatment of coronary artery disease and/or heart failure. We will search the Cochrane Central Register of Controlled Trials (CENTRAL), Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica database (EMBASE), Latin American and Caribbean Health Sciences Literature (LILACS), Science Citation Index Expanded on Web of Science, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science Journal Database (VIP), and BIOSIS in order to identify relevant trials. We will begin the searches in February 2019. All included trials will be assessed and classified at low risk of bias or at high risk of bias. Our primary conclusions will be based on the results from the primary outcomes at low risk of bias. Extracted data will be analysed using Review Manager 5.3 and Trial Sequential Analysis 0.9.5.10. We will create a 'Summary of Findings' table in which we will present our primary and secondary outcomes, and we will assess the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). DISCUSSION The systematic review will have the potential to aid clinicians in decision-making regarding ivabradine and to benefit patients with coronary artery disease and/or heart failure. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42018112082.
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Affiliation(s)
- M. Maagaard
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen Ø, Denmark
| | - E. E. Nielsen
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen Ø, Denmark
- Department of Cardiology, Holbaek Hospital, Holbaek, Denmark
| | - C. Gluud
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen Ø, Denmark
- Cochrane Hepato-Biliary Group, Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - J. C. Jakobsen
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen Ø, Denmark
- Cochrane Hepato-Biliary Group, Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Cardiology, Holbaek Hospital, Holbaek, Denmark
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Zhao Q, Wang L, Kurlansky PA, Schein J, Baser O, Berger JS. Cardiovascular outcomes among elderly patients with heart failure and coronary artery disease and without atrial fibrillation: a retrospective cohort study. BMC Cardiovasc Disord 2019; 19:19. [PMID: 30646855 PMCID: PMC6334438 DOI: 10.1186/s12872-018-0991-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 12/21/2018] [Indexed: 01/30/2023] Open
Abstract
Background Coronary artery disease accelerates heart failure progression, leading to poor prognosis and a substantial increase in morbidity and mortality. This study was aimed to assess the impact of coronary artery disease on all-cause mortality, myocardial infarction (MI), and ischemic stroke (IS) among hospitalized newly-diagnosed heart failure (HF) patients with left ventricular systolic dysfunction (LVSD). Methods This retrospective cohort study included Medicare patients (aged ≥65 years) with ≥1 inpatient heart failure claim (index date = discharge date) during 01JAN2007-31DEC2013. Patients were required to have continuous enrollment for ≥1-year pre-index date (baseline: 1-year pre-index period) without a prior heart failure claim (in the 1 year pre-index prior to the index hospital admission); follow-up ran from the index date to death, disenrollment from the health plan, or the end of the study period, whichever occurred first. HF with LVSD patients, identified with diagnosis codes of systolic dysfunction (excluding baseline atrial fibrillation), were stratified based on prevalent coronary artery disease at baseline into coronary artery disease and non-coronary artery disease cohorts. Main outcomes were occurrence of major adverse cardiovascular events including all-cause mortality, myocardial infarction, and ischemic stroke. Propensity score matching (PSM) was used to balance patient characteristics. Kaplan-Meier curves of ACM and cumulative incidence distribution of MI/IS were presented. Results Of 22,230 HF with LVSD patients, 15,827 (71.2%) had coronary artery disease and were overall more likely to be younger (79.8 vs 80.9 years), male (49.6% vs. 35.6%), white (86.2% vs 81.4%), with more prevalent comorbidities including hypertension (80.7% vs 74.3%), hyperlipidemia (67.7% vs 46.7%), and diabetes (46.3% vs 35.8%) (all p < 0.0001). After propensity score matching, cohorts included 5792 patients each. The coronary artery disease cohort had significantly higher cumulative incidence of myocardial infarction and ischemic stroke at the end of 7-year follow-up vs non-coronary artery disease (myocardial infarction = 50.0% vs 18.0%; ischemic stroke = 23.3% vs 18.7%; all p < 0.0001). Follow-up all-cause mortality rates were similar between the two cohorts. Conclusions HF with LVSD patients with coronary artery disease had significantly higher incidence of ischemic stroke and myocardial infarction, but similar all-cause mortality compared to those without coronary artery disease. Electronic supplementary material The online version of this article (10.1186/s12872-018-0991-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Qi Zhao
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | - Li Wang
- STATinMED Research, Plano, TX, USA.
| | | | - Jeff Schein
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA.
| | - Onur Baser
- The University of Michigan, Ann Arbor, MI, USA
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Gerber Y, Weston SA, Enriquez-Sarano M, Manemann SM, Chamberlain AM, Jiang R, Roger VL. Atherosclerotic Burden and Heart Failure After Myocardial Infarction. JAMA Cardiol 2018; 1:156-62. [PMID: 27437886 DOI: 10.1001/jamacardio.2016.0074] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
IMPORTANCE Whether the extent of coronary artery disease (CAD) is associated with the occurrence of heart failure (HF) after myocardial infarction (MI) is not known. Furthermore, whether this association might differ by HF type according to preserved or reduced ejection fraction (EF) has yet to be determined. OBJECTIVES To evaluate in a community cohort of patients with incident (first-ever) MI the association of angiographic CAD with subsequent HF and to examine the prognostic role of CAD according to HF subtypes: HF with reduced EF and HF with preserved EF. DESIGN, SETTING, AND PARTICIPANTS A population-based cohort study was conducted in 1922 residents of Olmsted County, Minnesota, with incident MI diagnosed between January 1, 1990, and December 31, 2010, and no prior HF; study participants were followed up through March 31, 2013. The extent of angiographic CAD was determined at baseline and categorized according to the number of major epicardial coronary arteries with 50% or more lumen diameter obstruction. MAIN OUTCOMES AND MEASURES The primary end point was time to incident HF. The primary exposure variable was the extent of CAD as expressed by the number of major coronary arteries with significant obstruction (0-, 1-, 2-, or 3-vessel disease) obtained from coronary angiograms performed no more than 1 day after the MI. Heart failure was ascertained by the Framingham criteria and classified by type according to EF (50% cutoff). RESULTS Of the 1922 participants, 1258 (65.4%) were men (mean [SD] age, 64 [13] years). During a mean follow-up period of 6.7 (5.9) years, 588 patients (30.6%) developed HF. With death and recurrent MI modeled as competing risks, the cumulative incidence rates of post-MI HF among patients with 0 or 1, 2, and 3 diseased vessels were 10.7%, 14.6%, and 23.0% at 30 days; and 14.7%, 20.6%, and 29.8% at 5 years, respectively (P < .001 for trend). After adjustment for clinical characteristics in a Cox proportional hazards regression model, the hazard ratios (95% CIs) for HF were 1.25 (0.99-1.59) and 1.75 (1.40-2.20) in patients with 2 and 3 vessels vs 0 or 1 occluded vessel, respectively (P < .001 for trend). The increased risk with a greater number of occluded vessels was independent of the occurrence of a recurrent MI and did not differ appreciably by HF type. CONCLUSIONS AND RELEVANCE The extent of angiographic CAD is an indicator of post-MI HF regardless of HF type and independent of recurrent MI. These data underscore the need to further investigate the processes taking place in the transition from myocardial injury to HF.
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Affiliation(s)
- Yariv Gerber
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota2Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Susan A Weston
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Maurice Enriquez-Sarano
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Sheila M Manemann
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Alanna M Chamberlain
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Ruoxiang Jiang
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Véronique L Roger
- Division of Cardiovascular Diseases, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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Lins R, De Vries C. Barnidipine Real-Life Efficacy and Tolerability in Arterial Hypertension: Results from Younger and Older Patients in the BASIC-HT Study. Open Cardiovasc Med J 2018; 11:120-132. [PMID: 29290834 PMCID: PMC5721309 DOI: 10.2174/1874192401711010120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 11/03/2017] [Accepted: 11/07/2017] [Indexed: 11/22/2022] Open
Abstract
Objective: The aim of this study was to compare the efficacy and tolerability of barnidipine, a strong lipophilic calcium channel blocker, in younger (≤55 for efficacy or <65 years for adverse events) versus older (>55 or ≥65 years) patients with uncomplicated hypertension. Methods: 20,275 patients received barnidipine, 10 or 20 mg/day, as monotherapy or in combination with other antihypertensive drug(s) in the observational BArnidipine real-life Safety and tolerability In Chronic HyperTension (BASIC-HT) study. Efficacy and tolerability were assessed over a 3-month period. The present paper describes results from prespecified subgroup analyses by age not reported elsewhere. Results: Both age groups showed a clinically meaningful decrease in blood pressure (BP) over time (p<0.0001). The mean systolic and diastolic BP after approximately 3 months of barnidipine therapy was well below the target value of <140/90 mmHg for individual patients, with no notable differences between age groups. The decrease in mean pulse pressure was greater in patients >55 years (-10.8 mmHg) than in patients ≤55 years (-8.7 mmHg) (p<0.0001) and the proportion of patients with pulse pressure >60 mmHg decreased from 61.1% at baseline to 24.8% at Visit 3 in patients >55 years and from 47.7% to 16.5% in patients ≤55 years (p<0.0001). The overall incidence of adverse events was low, leading to treatment discontinuation in only 3.0-3.6% of patients. Peripheral edema, a common adverse effect with calcium channel blockers in clinical practice, was reported by 2.7% of patients aged <65 years and by 4.6% of patients aged ≥65 years. Conclusion: The efficacy and tolerability profiles of barnidipine as monotherapy or in combination with other antihypertensive drugs were shown to be favorable in both younger and older patients in a real-life practice setting. Randomized double-blind controlled studies are needed to confirm these results.
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Affiliation(s)
- Robert Lins
- Department of Internal Medicine, University of Antwerp, Antwerp, Belgium
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Bakhshi H, Ambale-Venkatesh B, Yang X, Ostovaneh MR, Wu CO, Budoff M, Bahrami H, Wong ND, Bluemke DA, Lima JAC. Progression of Coronary Artery Calcium and Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2017; 6:JAHA.116.005253. [PMID: 28428195 PMCID: PMC5533017 DOI: 10.1161/jaha.116.005253] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Background Although the association between coronary artery calcium (CAC) and future heart failure (HF) has been shown previously, the value of CAC progression in the prediction of HF has not been investigated. In this study, we investigated the association of CAC progression with subclinical left ventricular (LV) dysfunction and incident HF in the Multi‐Ethnic Study of Atherosclerosis. Methods and Results The Multi‐Ethnic Study of Atherosclerosis is a population‐based study consisting of 6814 men and women aged 45 to 84, free of overt cardiovascular disease at enrollment, who were recruited from 4 ethnicities. We included 5644 Multi‐Ethnic Study of Atherosclerosis participants who had baseline and follow‐up cardiac computed tomography and were free of HF and coronary heart disease before the second cardiac computed tomography. Mean (±SD) age was 61.7±10.2 years and 47.2% were male. The Cox proportional hazard models and multivariable linear regression models were deployed to determine the association of CAC progression with incident HF and subclinical LV dysfunction, respectively. Over a median follow‐up of 9.6 (interquartile range: 8.8–10.6) years, 182 participants developed incident HF. CAC progression of 10 units per year was associated with 3% of increased risk of HF independent of overt coronary heart disease (P=0.008). In 2818 participants with available cardiac magnetic resonance images, CAC progression was associated with increased LV end diastolic volume (β=0.16; P=0.03) and LV end systolic volume (β=0.12; P=0.006) after excluding participants with any coronary heart disease. Conclusions CAC progression was associated with incident HF and modestly increased LV end diastolic volume and LV end systolic volume at follow‐up exam independent of overt coronary heart disease.
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Affiliation(s)
- Hooman Bakhshi
- Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD
| | | | | | - Mohammad R Ostovaneh
- Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD
| | - Colin O Wu
- Office of Biostatistics Research, National Heart Lung and Blood Institute, Bethesda, MD
| | - Matthew Budoff
- Division of Cardiology, Harbor-UCLA Medical Center, Torrance, CA
| | - Hossein Bahrami
- Division of Cardiovascular Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA
| | - Nathan D Wong
- Division of Cardiology, University of California, Irvine, Irvine, CA
| | - David A Bluemke
- Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, MD
| | - João A C Lima
- Cardiology Division, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD
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Relevance of mouse models of cardiac fibrosis and hypertrophy in cardiac research. Mol Cell Biochem 2016; 424:123-145. [PMID: 27766529 DOI: 10.1007/s11010-016-2849-0] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 10/14/2016] [Indexed: 01/15/2023]
Abstract
Heart disease causing cardiac cell death due to ischemia-reperfusion injury is a major cause of morbidity and mortality in the United States. Coronary heart disease and cardiomyopathies are the major cause for congestive heart failure, and thrombosis of the coronary arteries is the most common cause of myocardial infarction. Cardiac injury is followed by post-injury cardiac remodeling or fibrosis. Cardiac fibrosis is characterized by net accumulation of extracellular matrix proteins in the cardiac interstitium and results in both systolic and diastolic dysfunctions. It has been suggested by both experimental and clinical evidence that fibrotic changes in the heart are reversible. Hence, it is vital to understand the mechanism involved in the initiation, progression, and resolution of cardiac fibrosis to design anti-fibrotic treatment modalities. Animal models are of great importance for cardiovascular research studies. With the developing research field, the choice of selecting an animal model for the proposed research study is crucial for its outcome and translational purpose. Compared to large animal models for cardiac research, the mouse model is preferred by many investigators because of genetic manipulations and easier handling. This critical review is focused to provide insight to young researchers about the various mouse models, advantages and disadvantages, and their use in research pertaining to cardiac fibrosis and hypertrophy.
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Abstract
Myocardial infarction is defined as sudden ischemic death of myocardial tissue. In the clinical context, myocardial infarction is usually due to thrombotic occlusion of a coronary vessel caused by rupture of a vulnerable plaque. Ischemia induces profound metabolic and ionic perturbations in the affected myocardium and causes rapid depression of systolic function. Prolonged myocardial ischemia activates a "wavefront" of cardiomyocyte death that extends from the subendocardium to the subepicardium. Mitochondrial alterations are prominently involved in apoptosis and necrosis of cardiomyocytes in the infarcted heart. The adult mammalian heart has negligible regenerative capacity, thus the infarcted myocardium heals through formation of a scar. Infarct healing is dependent on an inflammatory cascade, triggered by alarmins released by dying cells. Clearance of dead cells and matrix debris by infiltrating phagocytes activates anti-inflammatory pathways leading to suppression of cytokine and chemokine signaling. Activation of the renin-angiotensin-aldosterone system and release of transforming growth factor-β induce conversion of fibroblasts into myofibroblasts, promoting deposition of extracellular matrix proteins. Infarct healing is intertwined with geometric remodeling of the chamber, characterized by dilation, hypertrophy of viable segments, and progressive dysfunction. This review manuscript describes the molecular signals and cellular effectors implicated in injury, repair, and remodeling of the infarcted heart, the mechanistic basis of the most common complications associated with myocardial infarction, and the pathophysiologic effects of established treatment strategies. Moreover, we discuss the implications of pathophysiological insights in design and implementation of new promising therapeutic approaches for patients with myocardial infarction.
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Affiliation(s)
- Nikolaos G Frangogiannis
- The Wilf Family Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
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45
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Butts B, Gary R. Coexisting Frailty, Cognitive Impairment, and Heart Failure: Implications for Clinical Care. JOURNAL OF CLINICAL OUTCOMES MANAGEMENT : JCOM 2015; 22:38-46. [PMID: 26594103 PMCID: PMC4650868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To review some of the proposed pathways that increase frailty risk in older persons with heart failure and to discuss tools that may be used to assess for changes in physical and cognitive functioning in this population in order to assist with appropriate and timely intervention. METHODS Review of the literature. RESULTS Heart failure is the only cardiovascular disease that is increasing by epidemic proportions, largely due to an aging society and therapeutic advances in disease management. Because heart failure is largely a cardiogeriatric syndrome, age-related syndromes such as frailty and cognitive impairment are common in heart failure patients. Compared with age-matched counterparts, older adults with heart failure 4 to 6 times more likely to be frail or cognitively impaired. The reason for the high prevalence of frailty and cognitive impairment in this population is not well known but may likely reflect the synergistic effects of heart failure and aging, which may heighten vulnerability to stressors and accelerate loss of physiologic reserve. Despite the high prevalence of frailty and cognitive impairment in the heart failure population, these conditions are not routinely screened for in clinical practice settings and guidelines on optimal assessment strategies are lacking. CONCLUSION Persons with heart failure are at an increased risk for frailty, which may worsen symptoms, impair self-management, and lead to worse heart failure outcomes. Early detection of frailty and cognitive impairment may be an opportunity for intervention and a key strategy for improving clinical outcomes in older adults with heart failure.
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Affiliation(s)
- Brittany Butts
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA
| | - Rebecca Gary
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA
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Kurdi M, Booz GW. Carvedilol protects the infarcted heart by upregulating miR-133: first evidence that disease state affects β-adrenergic arrestin-biased signaling? J Mol Cell Cardiol 2014; 76:12-4. [PMID: 25128784 DOI: 10.1016/j.yjmcc.2014.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Accepted: 08/05/2014] [Indexed: 01/14/2023]
Affiliation(s)
- Mazen Kurdi
- Department of Chemistry and Biochemistry, Faculty of Sciences, Lebanese University, Rafic Hariri Educational Campus, Hadath, Lebanon; Department of Pharmacology and Toxicology, School of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA; The Mississippi Center for Heart Research, The University of Mississippi Medical Center, Jackson, MS, USA; The Cardiovascular-Renal Research Center, The University of Mississippi Medical Center, Jackson, MS, USA
| | - George W Booz
- Department of Pharmacology and Toxicology, School of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA; The Mississippi Center for Heart Research, The University of Mississippi Medical Center, Jackson, MS, USA; The Cardiovascular-Renal Research Center, The University of Mississippi Medical Center, Jackson, MS, USA.
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Utility of Framingham risk score in urban emergency department patients with asymptomatic hypertension. Crit Pathw Cardiol 2014; 13:114-6. [PMID: 25062396 DOI: 10.1097/hpc.0000000000000016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Hypertension (HTN) is the primary population-attributable risk for the development of heart failure (HF); a disease with devastating consequences particularly in urban centers where morbidity and mortality are more pronounced. The Framingham Risk Profile (FRP) is widely used to quantify risk for cardiovascular disease (CVD), but its applicability in an urban population who utilize the emergency department (ED) for primary care is unknown. The objective of this study is to evaluate FRP scores in ED patients with asymptomatic HTN and subclinical hypertensive heart disease (SHHD). This is a substudy of a prospective randomized clinical trial designed to evaluate optimal blood pressure (BP) targets. Eligible patients were screened with echocardiography for the presence of SHHD and FRP scores were calculated. One hundred forty-nine patients enrolled in the study, 133 (89.2%) of whom had detectable SHHD. Mean [SD] calculated FRP scores were statistically similar for patients with SHHD versus those without (general CVD: 20.2 [8.5] vs. 15.6 [8.7]; P = 0.13 and HF calibrated: 2.4 [1.0] vs. 1.8 [1.0]; P = 0.12) corresponding to a calculated risk of 15%-30% for subsequent development of CVD. The HF-specific risk score for patients with SHHD was 2.4, which equates to a 2.5% risk of HF development in 10 years. The FRP correctly identified those with SHHD as high-risk for general CVD but appeared to underestimate the likelihood of HF. Recalibration of the HF adjustment factor and inclusion of additional data elements such as echocardiography is needed to enhance applicability of the FRP in this setting.
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Harkness K, Heckman GA, McKelvie RS. The older patient with heart failure: high risk for frailty and cognitive impairment. Expert Rev Cardiovasc Ther 2014; 10:779-95. [DOI: 10.1586/erc.12.49] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Abuhab A, Trindade E, Aulicino GB, Fujii S, Bocchi EA, Bacal F. Chagas' cardiomyopathy: the economic burden of an expensive and neglected disease. Int J Cardiol 2013; 168:2375-80. [PMID: 23465560 DOI: 10.1016/j.ijcard.2013.01.262] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2012] [Revised: 12/07/2012] [Accepted: 01/21/2013] [Indexed: 11/26/2022]
Abstract
BACKGROUND Chagas' cardiomyopathy (CC) is a rising etiology for heart failure (HF) that previously was restricted to some countries of Latin America. The chronic CC cases cause now a profound socio-economic impact. However this issue has not been well studied if compared to other causes of HF. The objective of this study was to assess the cost burden of CC during acute decompensated HF admissions (ADHF), and compare this cost to the other etiologies of HF. METHODS AND RESULTS By the end of 2006 we started a five year follow-up of 577 consecutive adult patients admitted at a high complexity cardiology university hospital in the city of Sao Paulo, Brazil. This study shows the data of the first admission of each patient of this follow-up. Patients were divided in two groups: CC (58 patients) and non-chagasic (NC) (519 patients). Mortality was different among groups, 19/58 (32.8%) in CC vs 113/519 (21.8%) in NC (p=0.046). The prevalence of signs of inadequate perfusion was higher in the CC group at admission, but in a multivariated analysis chagasic etiology and presence of diabetes were independent predictors of higher costs per day of hospitalization adjusted by mortality. Median costs per day were US$ 308 (277-542) vs US$ 467 (323-815) for NC and CC respectively (p<0.001). CONCLUSION Treating ADHF patients with CC etiology was more expensive and mortality was higher in this population at the first admission of this follow-up. This could be explained by the severity of Chagas' cardiomyopathy disease.
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Affiliation(s)
- Abrão Abuhab
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
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Serum β-carotene concentrations and the risk of congestive heart failure in men: a population-based study. Int J Cardiol 2013; 168:1841-6. [PMID: 23333366 DOI: 10.1016/j.ijcard.2012.12.072] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Revised: 12/13/2012] [Accepted: 12/25/2012] [Indexed: 11/23/2022]
Abstract
BACKGROUND Fruit and vegetable intake has been associated with lower risk for cardiovascular diseases, but data on congestive heart failure (CHF) are inconsistent. The association of serum carotenoids, biomarkers reflecting fruit and vegetable intake, with the risk of CHF has not been well documented in previous studies. We therefore examined the association between carotenoid levels and the risk of CHF. METHODS Data were available for 1031 males aged 46 to 65 years participating in the Kuopio Ischaemic Heart Disease Risk Factor Study (Finland). Baseline data for the present study were collected between 1991 and 1993. The association between serum concentrations of carotenoids and the risk of CHF was examined by using Cox proportional hazard models. RESULTS During the median of 17.8 follow-up years, CHF occurred in 72 patients. Age and examination year adjusted risk (hazard ratio, HR) for CHF among men within the lowest quartile of serum β-carotene was 4.08 (95% CI, 1.90-8.78, p<0.001) as compared to men in the highest quartile of serum β-carotene. After further adjustment for many potential confounders, men with the lowest quartile of β-carotene had almost 3-fold increased risk of CHF (HR=2.78, 95% CI, 1.23-6.25, p=0.014). However, serum concentrations of lycopene and α-carotene were not related to the risk of CHF. CONCLUSIONS The present study suggests that low concentrations of serum β-carotene may be associated with an increased risk of CHF.
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