The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Cardiac Troponin for Assessment of Myocardial Injury in COVID-19
Open accessAbstract
Increases in cardiac troponin indicative of myocardial injury are common in patients with coronavirus disease-2019 (COVID-19) and are associated with adverse outcomes such as arrhythmias and death. These increases are more likely to occur in those with chronic cardiovascular conditions and in those with severe COVID-19 presentations. The increased inflammatory, prothrombotic, and procoagulant responses following severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection increase the risk for acute nonischemic myocardial injury and acute myocardial infarction, particularly type 2 myocardial infarction, because of respiratory failure with hypoxia and hemodynamic instability in critically ill patients. Myocarditis, stress cardiomyopathy, acute heart failure, and direct injury from SARS-CoV-2 are important etiologies, but primary noncardiac conditions, such as pulmonary embolism, critical illness, and sepsis, probably cause more of the myocardial injury. The structured use of serial cardiac troponin has the potential to facilitate risk stratification, help make decisions about when to use imaging, and inform stage categorization and disease phenotyping among hospitalized COVID-19 patients.
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1 retracted
Clinical and CT imaging features of 2019 novel coronavirus disease (COVID-19)
Zhu, Y., Gao, Z.-H., Liu, Y.-L., Xu, D.-Y., Guan, T.-M., Li, Z.-P., Kuang, J.-Y., Li, X.-M., Yang, Y.-Y., & Feng, S. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.033 · Cited by 139
RetractedClinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
Fourth universal definition of myocardial infarction (2018)
Thygesen, K., Alpert, J. S., Jaffe, A. S., Chaitman, B. R., Bax, J. J., Morrow, D. A., White, H. D., ESC Scientific Document Group, Thygesen, K., Alpert, J. S., et al. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehy462 · Cited by 5,880
Self-citationIncidence of thrombotic complications in critically ill ICU patients with COVID-19
Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D. A. M. P. J., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.013 · Cited by 5,028
Ruan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05991-x · Cited by 4,898
Cited by
Long COVID: post-acute sequelae of COVID-19 with a cardiovascular focus
Raman, B., Bluemke, D. A., Lüscher, T. F., & Neubauer, S. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehac031 · Cited by 650
Gluckman, T. J., Bhave, N. M., Allen, L. A., Chung, E. H., Spatz, E. S., Ammirati, E., Baggish, A. L., Bozkurt, B., Cornwell, W. K., Harmon, K. G., et al. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2022.02.003 · Cited by 389
Metadata
- Authors
- Sandoval, Y., Januzzi, J. L., & Jaffe, A. S.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 76
- Issue
- 10
- Pages
- 1244-1258
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W3082810171
- Cited by
- 438
- References
- 49
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sandoval, Y., Januzzi, J. L., & Jaffe, A. S. (2020). Cardiac Troponin for Assessment of Myocardial Injury in COVID-19. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2020.06.068
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
