| 1. |
- Ahlin, Fredrik, et al.
(author)
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MicroRNAs as circulating biomarkers in acute coronary syndromes: A review
- 2016
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In: Vascular pharmacology. - : ELSEVIER SCIENCE INC. - 1537-1891 .- 1879-3649. ; 81, s. 15-21
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Research review (peer-reviewed)abstract
- Coronary artery disease (CAD) and its complications remain the most common cause of death worldwide. Cardiac troponins (cTn) are standard biomarkers used today for diagnosis and risk stratification of myocardial infarction (MI). Increasing efforts are made to develop additional, new biomarkers for more effective and safe rule-in and rule-out of MI patients at the emergency department. During the past decade, microRNAs (miRNAs) have emerged as new, potential diagnostic biomarkers in several diseases, including MI. In this review, we aimed to summarize some of the prominent studies in the field, and discuss the potential value of miRNAs in the diagnosis of MI. (C) 2016 Elsevier Inc. All rights reserved.
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| 2. |
- Arfvidsson, John, et al.
(author)
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Monocyte subsets in myocardial infarction: A review
- 2017
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In: International Journal of Cardiology. - : ELSEVIER IRELAND LTD. - 0167-5273 .- 1874-1754. ; 231, s. 47-53
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Research review (peer-reviewed)abstract
- Background: Monocytes form an important part of the human innate immune system by taking part in inflammatory reactions. With time, monocytes have gained interest in the role they may play during the event of myocardial infarction (MI). The current paradigm suggests that monocytes consist of three subdivisions which differ in phenotypic and dynamic patterns after an MI. In the inflammation that ensues, the different subsets have been shown to have an impact on reparative processes and patient recovery. Methods results: We searched Medline and Embase until April 5, 2016, for observational studies or clinical trials regarding monocyte functions and dynamics in MI. Apart from studies in humans, extensive work has been done in mice in an effort to understand the complex nature of monocyte dynamics. Animal models might add useful information on mapping these processes. Conclusion: The question still remains whether animal data can, to a certain degree, be extrapolated to monocyte functions during human MI. This review aims to summarize current available evidence on both mice and men with particular focus on the understanding of monocyte subsets dynamics and effects in human MI. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
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| 3. |
- Vargas, Kris G, et al.
(author)
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Variations on classification of main types of myocardial infarction : a systematic review and outcome meta-analysis
- 2019
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In: Clinical Research in Cardiology. - : Springer. - 1861-0684 .- 1861-0692. ; 108:7, s. 749-762
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Journal article (peer-reviewed)abstract
- OBJECTIVE: Classifying myocardial infarction into type 1 (T1MI) or type 2 (T2MI) remains a challenge in clinical practice. We aimed to identify factors contributing to variation in the classifications of MI into type 1 or type 2. In addition, pooled analyses of long-term mortality and reinfarction outcomes were performed.METHODS: We searched Medline, Embase and Web of Science through January 2018 for observational studies or clinical trials classifying patients as either T1MI or T2MI. Studies with baseline characteristics allowing a comparison between both groups were included. Inverse variance random-effects models were used to pool risk ratios (RR).RESULTS: Overall, 93,194 patients from 20 included observational studies were classified as T1MI and 9291 as T2MI; corresponding to 87.9% and 8.8% of all patients diagnosed with MI. Inclusion of ST-elevation MI patients was inconsistent among studies. Coronary angiography was performed in 77.7% and 31.5% of all patients with T1MI and T2MI, respectively. From a subgroup of 11 studies, percutaneous coronary intervention was performed in 79.2% of all patients classified as T1MI (range 44.2-93.0%) and 40.2% of all T2MI patients (range 0-87.5%). A meta-analysis of 6 studies (44,366 in total) on 2-year mortality showed worse outcome among T2MI patients (RR: 1.52, CI 1.07-2.17, P = 0.02; I2 = 92%). Risk of reinfarction at 1.6 years was higher among T2MI patients (RR: 1.68, CI 1.22-2.31, P = 0.001; I2 = 9%).CONCLUSIONS: Classification of T1MI and T2MI varies widely among studies. A standardized approach with clear definitions is needed to avoid misclassification and ensure appropriate patient management.
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