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Cheang I, Zhu X, Huang JY, Tse YK, Li HL, Ren QW, Wu MZ, Chan YH, Xu X, Tse HF, Gue Y, Lip GYH, Li X, Yiu KH. Prediabetes is associated with increased cardiac events in patients with cancer who are prescribed anthracyclines. Cancer 2024. [PMID: 38662418 DOI: 10.1002/cncr.35322] [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: 11/24/2023] [Revised: 03/05/2024] [Accepted: 03/18/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Prediabetes, which is a precedent of overt diabetes, is a known risk factor for adverse cardiovascular outcomes. Its impact on adverse cardiovascular outcomes in patients with cancer who are prescribed anthracycline-containing chemotherapy (ACT) is uncertain. The objective of this study was to evaluate the association of prediabetes with cardiovascular events in patients with cancer who are prescribed ACT. METHODS The authors identified patients with cancer who received ACT from 2000 to 2019 from Clinical Data Analysis Reporting System of Hong Kong. Patients were divided into diabetes, prediabetes, and normoglycemia groups based on their baseline glycemic profile. The Primary outcome, a major adverse cardiovascular event (MACE), was the composite event of hospitalization for heart failure and cardiovascular death. RESULTS Among 12,649 patients at baseline, 3997 had prediabetes, and 5622 had diabetes. Over median follow-up of 8.7 years, the incidence of MACE was 211 (7.0%) in the normoglycemia group, 358 (9.0%) in the prediabetes group, and 728 (12.9%) in the diabetes group. Compared with normoglycemia, prediabetes (adjusted hazard ratio [HR], 1.20; 95% confidence interval [CI], 1.01-1.43) and diabetes (adjusted HR, 1.46; 95% CI, 1.24-1.70) were associated with an increased risk of MACE. In the prediabetes group, 475 patients (18%) progressed to overt diabetes and exhibited a greater risk of MACE (adjusted HR, 1.76; 95% CI, 1.31-2.36) compared with patients who remained prediabetic. CONCLUSIONS In patients with cancer who received ACT, those who had prediabetes at baseline and those who progressed to diabetes at follow-up had an increased risk of MACE. The optimization of cardiovascular risk factor management, including prediabetes, should be considered in patients with cancer who are treated before and during ACT to reduce cardiovascular risk. PLAIN LANGUAGE SUMMARY Patients with cancer who have preexisting diabetes have a higher risk of cardiovascular events, and prediabetes is often overlooked. In this study of 12,649 patients with cancer identified in the Clinical Data Analysis Reporting System of Hong Kong who were receiving treatment with anthracycline drugs, prediabetes was correlated with increased deaths from cardiovascular disease and/or hospitalizations for heart failure. Patients who progressed from prediabetes to diabetes within 2 years had an increased risk of combined hospitalization for heart failure and death from cardiovascular disease. These findings indicate the importance of paying greater attention to cardiovascular risk factors, including how prediabetes is managed, in patients who have cancer and are receiving chemotherapy with anthracyclines, emphasizing the need for surveillance, follow-up strategies, and consideration of prediabetes management in cancer care.
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Affiliation(s)
- Iokfai Cheang
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Xu Zhu
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Jia-Yi Huang
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Yi-Kei Tse
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Hang-Long Li
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Qing-Wen Ren
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Mei-Zhen Wu
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Yap-Hang Chan
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Xin Xu
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Hung-Fat Tse
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Ying Gue
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Xinli Li
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Kai-Hang Yiu
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shen Zhen Hospital, Shenzhen, China
- Cardiology Division, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
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Zhang X, Yin T, Wang Y, Du J, Dou J, Zhang X. Effects of scutellarin on the mechanism of cardiovascular diseases: a review. Front Pharmacol 2024; 14:1329969. [PMID: 38259289 PMCID: PMC10800556 DOI: 10.3389/fphar.2023.1329969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Cardiovascular diseases represent a significant worldwide problem, jeopardizing individuals' physical and mental wellbeing as well as their quality of life as a result of their widespread incidence and fatality. With the aging society, the occurrence of Cardiovascular diseases is progressively rising each year. However, although drugs developed for treating Cardiovascular diseases have clear targets and proven efficacy, they still carry certain toxic and side effect risks. Therefore, finding safe, effective, and practical treatment options is crucial. Scutellarin is the primary constituent of Erigeron breviscapus (Vant.) Hand-Mazz. This article aims to establish a theoretical foundation for the creation and use of secure, productive, and logical medications for Scutellarin in curing heart-related illnesses. Additionally, the examination and analysis of the signal pathway and its associated mechanisms with regard to the employment of SCU in treating heart diseases will impart innovative resolving concepts for the treatment and prevention of Cardiovascular diseases.
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Affiliation(s)
- Xinyu Zhang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Tong Yin
- First Clinical Medical School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Yincang Wang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Jiazhe Du
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Jinjin Dou
- Department of Cardiovascular, The First Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiwu Zhang
- Experimental Training Centre, Heilongjiang University of Chinese Medicine, Harbin, China
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Cui K, Yin D, Song W, Wang H, Zhu C, Feng L, Li J, Jia L, Lu Y, Zhang R, Shi B, Song Y, Fu R, Dou K. The prognostic effect of prediabetes defined by different criteria in patients with stable coronary artery disease: a prospective cohort study in Asia. Eur J Prev Cardiol 2023; 30:1418-1426. [PMID: 36987575 DOI: 10.1093/eurjpc/zwad095] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/10/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023]
Abstract
AIMS To evaluate the impact of prediabetes identified by different glycemic thresholds (according to ADA or WHO/IEC criteria) and diagnostic tests (fasting plasma glucose [FPG] or hemoglobin A1c [HbA1c]) on clinical outcomes in patients with stable coronary artery disease (CAD). METHODS AND RESULTS In this prospective cohort study, we consecutively enrolled 4088 stable CAD non-diabetic patients with a median follow-up period of 3.2 years. Prediabetes was defined according to ADA criteria as FPG 5.6∼6.9 mmol/L and/or HbA1c 5.7∼6.4%, and WHO/IEC criteria as FPG 6.1∼6.9 mmol/L and/or HbA1c 6.0∼6.4%. The primary endpoint was major adverse cardiovascular event (MACE), including all-cause death, myocardial infarction, or stroke. The prevalence of prediabetes defined according to ADA criteria (67%) was double that of WHO/IEC criteria (34%). Compared with patients with normoglycaemia, those with WHO/IEC-defined prediabetes were significantly associated with higher risk of MACE [adjusted hazard ratio (HR) 1.50, 95% confidence interval (CI) 1.10-2.06], mainly driven by the higher incidence of events in individuals with HbA1c-defined prediabetes. However, this difference was not found in patients with ADA-defined prediabetes and normoglycaemia (adjusted HR 1.17, 95% CI 0.81-1.68). Although FPG was not associated with cardiovascular events, HbA1c improved the risk prediction for MACE in a model of traditional risk factors. Furthermore, the optimal cutoff value of HbA1c for predicting MACE was 5.85%, which was close to the threshold recommended by IEC. CONCLUSION This study supports the use of WHO/IEC criteria for the identification of prediabetes in stable CAD patients. Haemoglobin A1c, rather than FPG, should be considered as a useful marker for risk stratification in this population. REGISTRATION Not applicable.
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Affiliation(s)
- Kongyong Cui
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Weihua Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Hongjian Wang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Chenggang Zhu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Feng
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Jianjun Li
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Lei Jia
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Ye Lu
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Zhang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Boqun Shi
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Yanjun Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Rui Fu
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
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Aksoy S, Öz D, Öz M, Agirbasli M. Predictors of Long-Term Mortality in Patients with Stable Angina Pectoris and Coronary Slow Flow. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59040763. [PMID: 37109721 PMCID: PMC10144203 DOI: 10.3390/medicina59040763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/09/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023]
Abstract
Background and Objectives: Coronary slow flow (CSF) is an angiographic phenomenon characterized by the slow progression of an injected contrast agent during diagnostic coronary angiography in the absence of significant stenosis. Although CSF is a common angiographic finding, the long-term outcomes and mortality rates are still unknown. This study aimed to investigate the underlying causes of mortality over a 10-year period in patients diagnosed with stable angina pectoris (SAP) and CSF. Materials and Methods: This study included patients with SAP who underwent coronary angiography from 1 January 2012 to 31 December 2012. All patients displayed CSF despite having angiographically normal coronary arteries. Hypertension (HT), diabetes mellitus (DM), hyperlipidaemia, medication compliance, comorbidities, and laboratory data were recorded at the time of angiography. Thrombolysis in myocardial infarction (TIMI) frame count (TFC) was calculated for each patient. The cardiovascular (CV) and non-CV causes of long-term mortality were assessed. Results: A total of 137 patients with CSF (93 males; mean age: 52.2 ± 9.36 years) were included in this study. Twenty-one patients (15.3%) died within 10 years of follow-up. Nine (7.2%) and 12 (9.4%) patients died of non-CV and CV causes, respectively. Total mortality in patients with CSF was associated with age, HT, discontinuation of medications, and high-density lipoprotein cholesterol (HDL-C) levels. The mean TFC was associated with CV mortality. Conclusion: Patients with CSF exhibited a notable increase in cardiovascular-related and overall mortality rates after 10 years of follow-up. HT, discontinuation of medications, HDL-C levels, and mean TFC were associated with mortality in patients with CSF.
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Affiliation(s)
- Sukru Aksoy
- Department of Cardiology, Dr. Siyami Ersek Training and Research Hospital, University of Health Sciences, Istanbul 34668, Turkey
| | - Dilaver Öz
- Department of Cardiology, Dr. Siyami Ersek Training and Research Hospital, University of Health Sciences, Istanbul 34668, Turkey
| | - Melih Öz
- Department of Cardiology, Dr. Siyami Ersek Training and Research Hospital, University of Health Sciences, Istanbul 34668, Turkey
| | - Mehmet Agirbasli
- Department of Cardiology, Faculty of Medicine, Medeniyet University, Istanbul 34722, Turkey
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