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Elahimanesh M, Shokri N, Mahdinia E, Mohammadi P, Parvaz N, Najafi M. Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction. Sci Rep 2024; 14:3424. [PMID: 38341440 PMCID: PMC10858964 DOI: 10.1038/s41598-024-54086-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/08/2024] [Indexed: 02/12/2024] Open
Abstract
The ST-elevation Myocardial Infarction (STEMI) and Non-ST-elevation Myocardial Infarction (NSTEMI) might occur because of coronary artery stenosis. The gene biomarkers apply to the clinical diagnosis and therapeutic decisions in Myocardial Infarction. The aim of this study was to introduce, enrich and estimate timely the blood gene profiles based on the high-throughput data for the molecular distinction of STEMI and NSTEMI. The text mining data (50 genes) annotated with DisGeNET data (144 genes) were merged with the GEO gene expression data (5 datasets) using R software. Then, the STEMI and NSTEMI networks were primarily created using the STRING server, and improved using the Cytoscape software. The high-score genes were enriched using the KEGG signaling pathways and Gene Ontology (GO). Furthermore, the genes were categorized to determine the NSTEMI and STEMI gene profiles. The time cut-off points were identified statistically by monitoring the gene profiles up to 30 days after Myocardial Infarction (MI). The gene heatmaps were clearly created for the STEMI (high-fold genes 69, low-fold genes 45) and NSTEMI (high-fold genes 68, low-fold genes 36). The STEMI and NSTEMI networks suggested the high-score gene profiles. Furthermore, the gene enrichment suggested the different biological conditions for STEMI and NSTEMI. The time cut-off points for the NSTEMI (4 genes) and STEMI (13 genes) gene profiles were established up to three days after Myocardial Infarction. The study showed the different pathophysiologic conditions for STEMI and NSTEMI. Furthermore, the high-score gene profiles are suggested to measure up to 3 days after MI to distinguish the STEMI and NSTEMI.
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Affiliation(s)
- Mohammad Elahimanesh
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Nafiseh Shokri
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Elmira Mahdinia
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Payam Mohammadi
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Najmeh Parvaz
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Najafi
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
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Fang C, Li J, Wang W, Wang Y, Chen Z, Zhang J. Establishment and validation of a clinical nomogram model based on serum YKL-40 to predict major adverse cardiovascular events during hospitalization in patients with acute ST-segment elevation myocardial infarction. Front Med (Lausanne) 2023; 10:1158005. [PMID: 37283624 PMCID: PMC10239942 DOI: 10.3389/fmed.2023.1158005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/02/2023] [Indexed: 06/08/2023] Open
Abstract
Objective This study aimed to investigate the predictive value of a clinical nomogram model based on serum YKL-40 for major adverse cardiovascular events (MACE) during hospitalization in patients with acute ST-segment elevation myocardial infarction (STEMI). Methods In this study, 295 STEMI patients from October 2020 to March 2023 in the Second People's Hospital of Hefei were randomly divided into a training group (n = 206) and a validation group (n = 89). Machine learning random forest model was used to select important variables and multivariate logistic regression was included to analyze the influencing factors of in-hospital MACE in STEMI patients; a nomogram model was constructed and the discrimination, calibration, and clinical effectiveness of the model were verified. Results According to the results of random forest and multivariate analysis, we identified serum YKL-40, albumin, blood glucose, hemoglobin, LVEF, and uric acid as independent predictors of in-hospital MACE in STEMI patients. Using the above parameters to establish a nomogram, the model C-index was 0.843 (95% CI: 0.79-0.897) in the training group; the model C-index was 0.863 (95% CI: 0.789-0.936) in the validation group, with good predictive power; the AUC (0.843) in the training group was greater than the TIMI risk score (0.648), p < 0.05; and the AUC (0.863) in the validation group was greater than the TIMI risk score (0.795). The calibration curve showed good predictive values and observed values of the nomogram; the DCA results showed that the graph had a high clinical application value. Conclusion In conclusion, we constructed and validated a nomogram based on serum YKL-40 to predict the risk of in-hospital MACE in STEMI patients. This model can provide a scientific reference for predicting the occurrence of in-hospital MACE and improving the prognosis of STEMI patients.
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Affiliation(s)
- Caoyang Fang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
- Graduate School, Bengbu Medical College, Bengbu, Anhui, China
| | - Jun Li
- Department of Cardiology, The Lu’an Hospital Affiliated to Anhui Medical University, Lu’an, Anhui, China
- Department of Cardiology, The Lu’an People's Hospital, Lu’an, Anhui, China
| | - Wei Wang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Yuqi Wang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
- Graduate School, Bengbu Medical College, Bengbu, Anhui, China
| | - Zhenfei Chen
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Jing Zhang
- Department of Cardiology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
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Emerging Biomarkers for Predicting Clinical Outcomes in Patients with Heart Disease. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010230. [PMID: 36676179 PMCID: PMC9864006 DOI: 10.3390/life13010230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/31/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023]
Abstract
Cardiovascular disease is most frequently caused by the development and progression of atherosclerosis. When coronary arteries are afflicted, and the stenoses caused by atherosclerotic plaques are severe enough, the metabolic supply-and-offer balance is disturbed, leading to myocardial ischemia. If atherosclerotic plaques become unstable and local thrombosis develops, a myocardial infarction occurs. Sometimes, myocardial ischemia and infarction may result in significant and irreversible heart failure. To prevent severe complications, such as acute coronary syndromes and ischemia-related heart failure, extensive efforts have been made for developing biomarkers that would help identify patients at increased risk for cardiovascular events. In this two-part study, we attempted to provide a review of existing knowledge of blood biomarkers that may be used in this setting. The first part of this work was dedicated to conventional biomarkers, which are already used in clinical practice. In the second part, here presented, we discuss emerging biomarkers which have not yet become mainstream.
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Liu S, Jiang H, Dhuromsingh M, Dai L, Jiang Y, Zeng H. Evaluation of C-reactive protein as predictor of adverse prognosis in acute myocardial infarction after percutaneous coronary intervention: A systematic review and meta-analysis from 18,715 individuals. Front Cardiovasc Med 2022; 9:1013501. [PMID: 36465441 PMCID: PMC9708737 DOI: 10.3389/fcvm.2022.1013501] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/24/2022] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Proper prognostic biomarker is of great importance for clinical decision-making in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although recently emerges plenty of novel inflammatory biomarkers, the canonical inflammatory mediator C-reactive protein still plays an important role in prognosing adverse post-infarction complications. METHODS PubMed, Embase, and Medline were systematically searched from the establishment of databases up to December 2021, conforming with standards set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS A total of 23 studies were eventually eligible for this meta-analysis, including 18,715 individuals. Our findings showed that elevated C-reactive protein (CRP) had a statistically significant superiority in predicting all-cause mortality (OR: 3.22, 95% CI: [2.71, 3.84], p < 0.00001), cardiovascular death (OR: 3.26, 95% CI: [2.30, 4.61], p < 0.00001), major adverse cardiovascular events (MACEs) (OR: 2.85, 95% CI [2.08, 3.90], p < 0.00001), heart failure (OR: 2.29, 95% CI: [1.48, 3.54], p = 0.0002), recurrent myocardial infarction (OR: 1.76, 95% CI: [1.28, 2.43], p < 0.001), and restenosis (OR: 1.71, 95% CI: [1.18, 2.47], p = 0.004). Subgroup analysis implies that CRP had better performance in predicting plenty of hospitalization and short-term (<12 months) adverse prognosis than long-term prognosis and Asian patients with elevated CRP were under more risk in adverse prognosis after PCI than Europeans. CONCLUSION Our meta-analysis suggests that CRP is a prospective predictor of the prognosis in patients with AMI undergoing PCI, especially in hospitalization and short-term and in the Asian group.
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Affiliation(s)
- Shijie Liu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan, Hubei, China
| | - Hongcheng Jiang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan, Hubei, China
| | - Menaka Dhuromsingh
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan, Hubei, China
| | - Lei Dai
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan, Hubei, China
| | - Yue Jiang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hesong Zeng
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Engineering Research Center of Vascular Interventional Therapy, Wuhan, Hubei, China
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Laurikka A, Vuolteenaho K, Toikkanen V, Rinne T, Leppänen T, Hämäläinen M, Tarkka M, Laurikka J, Moilanen E. Inflammatory Glycoprotein YKL-40 Is Elevated after Coronary Artery Bypass Surgery and Correlates with Leukocyte Chemotaxis and Myocardial Injury, a Pilot Study. Cells 2022; 11:3378. [PMID: 36359773 PMCID: PMC9653903 DOI: 10.3390/cells11213378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/07/2022] [Accepted: 10/19/2022] [Indexed: 01/06/2024] Open
Abstract
The aim of the present study was to investigate the levels of YKL-40 during and after coronary artery bypass grafting surgery (CABG) and to establish possible connections between YKL-40 and markers of oxidative stress, inflammation, and myocardial injury. Patients undergoing elective CABG utilizing cardiopulmonary bypass (CPB) were recruited into the study. Blood samples were collected at the onset of anesthesia, during surgery and post-operatively. Levels of YKL-40, 8-isoprostane, interleukin-8 (IL-8), monocyte chemotactic protein-1 (MCP-1) and troponin T (TnT) were measured by immunoassay. YKL-40 levels increased significantly 24 h after CPB. Positive correlation was seen between post-operative TnT and YKL-40 levels (r = 0.457, p = 0.016) and, interestingly, baseline YKL-40 predicted post-operative TnT increase (r = 0.374, p = 0.050). There was also a clear association between YKL-40 and the chemotactic factors MCP-1 (r = 0.440, p = 0.028) and IL-8 (r = 0.484, p = 0.011) linking YKL-40 to cardiac inflammation and fibrosis following CABG. The present results show, for the first time, that YKL-40 is associated with myocardial injury and leukocyte-activating factors following coronary artery bypass surgery. YKL-40 may be a factor and/or biomarker of myocardial inflammation and injury and subsequent fibrosis following heart surgery.
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Affiliation(s)
- Antti Laurikka
- The Immunopharmacology Research Group, Faculty of Medicine and Health Technology, Tampere University Hospital, Tampere University, 33014 Tampere, Finland
| | - Katriina Vuolteenaho
- The Immunopharmacology Research Group, Faculty of Medicine and Health Technology, Tampere University Hospital, Tampere University, 33014 Tampere, Finland
| | - Vesa Toikkanen
- Tampere University Hospital Heart Center Co., P.O. Box 2000, 33521 Tampere, Finland
| | - Timo Rinne
- Tampere University Hospital Heart Center Co., P.O. Box 2000, 33521 Tampere, Finland
- Department of Anaesthesia, Tampere University Hospital, P.O. Box 2000, 33521 Tampere, Finland
| | - Tiina Leppänen
- The Immunopharmacology Research Group, Faculty of Medicine and Health Technology, Tampere University Hospital, Tampere University, 33014 Tampere, Finland
| | - Mari Hämäläinen
- The Immunopharmacology Research Group, Faculty of Medicine and Health Technology, Tampere University Hospital, Tampere University, 33014 Tampere, Finland
| | - Matti Tarkka
- Tampere University Hospital Heart Center Co., P.O. Box 2000, 33521 Tampere, Finland
| | - Jari Laurikka
- Tampere University Hospital Heart Center Co., P.O. Box 2000, 33521 Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Tampere University, 33014 Tampere, Finland
| | - Eeva Moilanen
- The Immunopharmacology Research Group, Faculty of Medicine and Health Technology, Tampere University Hospital, Tampere University, 33014 Tampere, Finland
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Role of Chitinase-3-like Protein 1 in Cardioprotection and Angiogenesis by Post-Infarction Exercise Training. Biomedicines 2022; 10:biomedicines10051028. [PMID: 35625766 PMCID: PMC9138221 DOI: 10.3390/biomedicines10051028] [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: 01/04/2022] [Revised: 04/24/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
Chitinase-3-like protein 1 (CHI3L1) is a myokine involving tissue remodeling and inflammatory processes. CHI3L1 and its receptor protease-activated receptor 2 (PAR2) are induced by exercise in skeletal muscles. However, it remains unknown if CHI3L1/PAR2 signaling also mediates exercise-induced cardioprotection after myocardial infarction. Twenty-four adult male rats were divided into three groups (n = 8/group), receiving: (1) a sham operation; (2) permanent ligation of left anterior descending coronary artery; and (3) post-MI exercise training with one-week adaptive treadmill exercise for seven days followed by four weeks of aerobic exercise. Left ventricular systolic and end-diastolic pressure indices were measured and cardiac fibrosis, and angiogenesis were examined. Furthermore, HUVEC cells were treated in vitro with AMPK agonist—AICAR (a putative pharmacological memetic of exercise), recombinant human CHI3L1, PAR2 receptor blocker (AZ3451), and PI3K inhibitor (LY294002), respectively. We found that post-MI exercise significantly upregulated CHI3L1, PAR2, pPI3K/PI3K, pAKT/AKT, pERK/ERK, improved cardiac function, and diminished fibrosis. AICAR increased HUVEC tubules formation and upregulated CHI3L1 and PAR2 and these changes were attenuated by PAR2 blocker. In conclusion, post-MI exercise training can effectively activate CHI3L1/PAR2 signaling, which led to the improved myocardial function and enhanced cardiac angiogenesis in the infarcted heart.
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YKL-40 as a novel biomarker in cardio-metabolic disorders and inflammatory diseases. Clin Chim Acta 2020; 511:40-46. [PMID: 33002471 DOI: 10.1016/j.cca.2020.09.035] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 09/25/2020] [Accepted: 09/25/2020] [Indexed: 02/07/2023]
Abstract
Dyslipidaemia is associated with numerous health problems that include the combination of insulin resistance, hypertension and obesity, ie, metabolic syndrome. Although the use of statins to decrease serum low density lipoprotein cholesterol (LDL-C) has been an effective therapeutic in treating atherosclerosis, the persistence of high atherosclerotic risk, ie, residual risk, is notable and is not simply explained as a phenomenon of dyslipidaemia. As such, it is imperative that we identify new biomarkers to monitor treatment and more accurately predict future cardiovascular events. This athero-protective strategy includes the assessment of novel inflammatory biomarkers such as YKL-40. Recent evidence has implicated YKL-40 in patients with inflammatory diseases and cardio-metabolic disorders, making it potentially useful to evaluate disease severity, prognosis and survival. In this review, we summarize role of YKL-40 in the pathogenesis of cardio-metabolic disorders and explore its use as a novel biomarker for monitoring athero-protective therapy.
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Tan Y, Ji X, Mo Z, Zhou Y. Serum YKL-40 positively correlates with MMP-9 and CRP in patients with acute ST segment elevation myocardial infarction following emergency treatment. Medicine (Baltimore) 2019; 98:e17950. [PMID: 31764795 PMCID: PMC6882559 DOI: 10.1097/md.0000000000017950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE To investigate the role of YKL-40 in ST segment elevation myocardial infarction (STEMI) and its relationship to C-reactive protein (CRP) and matrix metalloproteinase-9 (MMP-9). METHODS This prospective study included 358 STEMI patients who were sent to the Emergency Department of our hospital from April 2014 to December 2017. Serum levels of YKL-40, CRP and MMP-9 were determined using commercially available Enzyme linked immunosorbent assay (ELISA) kits. Major adverse cardiovascular events (MACE) and overall survival time were analyzed. RESULTS GRACE scores (P < .001) and the levels of YKL-40 (P < .001), MMP-9 (P < .001), and CRP (P < .001) were significantly higher in deceased patients compared to those that survived. The levels of CRP (P = .007) and MMP-9 (P = .022) were significantly higher in the high YKL-40 group. The GRACE scores were also significantly elevated (P = .011, 95% CI 2.1 (-9.7 to -1.3)). Cumulative MACE rates and cardiac death rates were significantly higher in the high YKL-40 group (P < .001, 95% CI 3.9 (1.9-8.2)). Overall survival times were significantly longer in patients with lower YKL-40 levels (P < .0001). CONCLUSION Elevated YKL-40 levels positively correlate with CRP and MMP-9 levels and are associated with clinical outcomes including MACE and 6-month survival in STEMI patients.
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Çetin M, Erdoğan T, Kırış T, Özer S, Çinier G, Emlek N, Durak H, Şatıroğlu Ö. Elevated serum YKL40 level is a predictor of MACE during the long-term follow up in hypertensive patients. Clin Exp Hypertens 2019; 42:271-274. [PMID: 31204510 DOI: 10.1080/10641963.2019.1632342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background: YKL-40 (human cartilage glycoprotein 39, chitinase-3-like protein 1) is an inflammatory marker secreted mainly by macrophages and has distinctive roles on extracellular matrix remodeling, macrophage maturation, adhesion, and migration. Despite the presence of robust data suggesting the association of YKL-40 with variety of cardiovascular diseases (CV), there is no study up to date evaluating the role of YKL-40 on the long-term prognosis in patients with hypertension (HT).Methods: A single center, prospective, observational cohort study that included 327 consecutive hypertensive patients which were presented to a cardiology outpatient clinic. Patients were followed up for 7.89 ± 0.12 years. Primary outcome of the study was the occurrence of major cardiovascular outcomes (MACE) defined as all-cause mortality, new onset heart failure (HF), and coronary artery disease (CAD) requiring revascularization.Results: A total of 135 patients constituted the final study population [mean age: 52.4 ± 10.2, female: 63 (46%)]. A total of 28 (20.7%) patients had MACE during the follow up. Cox regression analysis revealed that age (HR: 1.046, 1.016-1.093 CI 95%, p = .026), diabetes (HR: 2.278, 1.026-5.057 CI 95%, p = .043), and YKL-40 level (HR: 1.019, 1.013-1.026 CI 95%, p = .005) significantly predicted MACE. We found that sensitivity and specificity of YKL-40 > 93.5 for predicting MACE was 71.4% and 65%, respectively with an area under curve (AUC) 0.723 (0.617-0.828 CI 95%, p < .001)Conclusion: Elevated serum YKL-40 level predicted MACE in hypertensive patients during a long-term follow up.
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Affiliation(s)
- Mustafa Çetin
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Faculty of Medicine, Rize, Turkey
| | - Turan Erdoğan
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Faculty of Medicine, Rize, Turkey
| | - Tuncay Kırış
- Department of Cardiology, Katip Çelebi University Atatürk Research and Training Hospital, Izmir, Turkey
| | - Savaş Özer
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Training and Research Hospital, Rize, Turkey
| | - Göksel Çinier
- Department of Cardiology, Kaçkar State Hospital, Rize, Turkey
| | - Nadir Emlek
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Faculty of Medicine, Rize, Turkey
| | - Hüseyin Durak
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Faculty of Medicine, Rize, Turkey
| | - Ömer Şatıroğlu
- Department of Cardiology, Rize Recep Tayyip Erdoğan University Training and Research Hospital, Rize, Turkey
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