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Cited by 445

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Acute coronary syndromes

Open access
Bergmark, Brian A, Mathenge, Njambi, Merlini, Piera A, Lawrence-Wright, Marilyn B, Giugliano, Robert P·2022·The Lancet

Abstract

Although substantial progress has been made in the diagnosis and treatment of acute coronary syndromes, cardiovascular disease remains the leading cause of death globally, with nearly half of these deaths due to ischaemic heart disease. The broadening availability of high-sensitivity troponin assays has allowed for rapid rule-out algorithms in patients with suspected non-ST-segment elevated myocardial infarction (NSTEMI). Dual antiplatelet therapy is recommended for 12 months following an acute coronary syndrome in most patients, and additional secondary prevention measures including intensive lipid-lowering therapy (LDL-C <1·4 mmol/L), neurohormonal agents, and lifestyle modification, are crucial. The scientific evidence for diagnosis and management of acute coronary syndromes continues to evolve rapidly, including adapting to the COVID-19 pandemic, which has impacted all aspects of care. This Seminar provides a clinically relevant overview of the pathobiology, diagnosis, and management of acute coronary syndromes, and describes key scientific advances.

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Metadata

Authors
Bergmark, B. A., Mathenge, N., Merlini, P. A., Lawrence-Wright, M. B., & Giugliano, R. P.
Venue
The Lancet
Publisher
Elsevier BV
Published
2022-04
Volume
399
Issue
10332
Pages
1347-1358
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W4221066429
Cited by
445
References
99
FWCI
53.19
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Acute coronary syndromes. https://app.cochat.ai/papers/10.1016/s0140-6736(21)02391-6
The paper
Bergmark, B. A., Mathenge, N., Merlini, P. A., Lawrence-Wright, M. B., & Giugliano, R. P. (2022). Acute coronary syndromes. The Lancet. https://doi.org/10.1016/s0140-6736(21)02391-6

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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.