The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Coagulopathy of Coronavirus Disease 2019
Open accessAbstract
Objectives: Recent studies have reported a high prevalence of thrombotic events in coronavirus disease 2019. However, the significance of thromboembolic complications has not been widely appreciated. The purpose of this review is to provide current knowledge of this serious problem. Design: Narrative review. Data Sources: Online search of published medical literature through PubMed using the term “COVID-19,” “SARS,” “acute respiratory distress syndrome,” “coronavirus,” “coagulopathy,” “thrombus,” and “anticoagulants.” Study Selection and Data Extraction: Articles were chosen for inclusion based on their relevance to coagulopathy and thrombosis in coronavirus disease 2019, and anticoagulant therapy. Reference lists were reviewed to identify additional relevant articles. Data Synthesis: Coronavirus disease 2019 is associated with a strikingly high prevalence of coagulopathy and venous thromboembolism that may contribute to respiratory deterioration. Monitoring coagulation variables is important, as abnormal coagulation tests are related to adverse outcomes and may necessitate adjuvant antithrombotic interventions. In the initial phase of the infection, d-dimer and fibrinogen levels are increased, while activated partial prothrombin time, prothrombin time, and platelet counts are often relatively normal. Increased d-dimer levels three times the upper limit of normal may trigger screening for venous thromboembolism. In all hospitalized patients, thromboprophylaxis using low-molecular-weight heparin is currently recommended. The etiology of the procoagulant responses is complex and thought to be a result of specific interactions between host defense mechanisms and the coagulation system. Although the coagulopathy is reminiscent of disseminated intravascular coagulation and thrombotic microangiopathy, it has features that are markedly distinct from these entities. Conclusions: Severe acute respiratory syndrome coronavirus 2/coronavirus disease 2019 frequently induces hypercoagulability with both microangiopathy and local thrombus formation, and a systemic coagulation defect that leads to large vessel thrombosis and major thromboembolic complications, including pulmonary embolism in critically ill hospitalized patients. d-dimers and fibrinogen levels should be monitored, and all hospitalized patients should undergo thromboembolism prophylaxis with an increase in therapeutic anticoagulation in certain clinical situations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical 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
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
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
Endothelial cell infection and endotheliitis in COVID-19
Varga, Z., Flammer, A. J., Steiger, P., Haberecker, M., Andermatt, R., Zinkernagel, A. S., Mehra, M. R., Schuepbach, R. A., Ruschitzka, F., & Moch, H. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30937-5 · Cited by 6,358
Incidence 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
Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China
Liang, W., Guan, W., Chen, R., Wang, W., Li, J., Xu, K., Li, C., Ai, Q., Lu, W., Liang, H., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30096-6 · Cited by 4,384
Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis
Rodriguez-Morales, A. J., Cardona-Ospina, J. A., Gutiérrez-Ocampo, E., Villamizar-Peña, R., Holguin-Rivera, Y., Escalera-Antezana, J. P., Alvarado-Arnez, L. E., Bonilla-Aldana, D. K., Franco-Paredes, C., Henao-Martinez, A. F., et al. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101623 · Cited by 2,542
Coagulopathy and Antiphospholipid Antibodies in Patients with Covid-19
Zhang, Y., Xiao, M., Zhang, S., Xia, P., Cao, W., Jiang, W., Chen, H., Ding, X., Zhao, H., Zhang, H., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2007575 · Cited by 2,179
Targeting potential drivers of COVID-19: Neutrophil extracellular traps
Barnes, B. J., Adrover, J. M., Baxter-Stoltzfus, A., Borczuk, A., Cools-Lartigue, J., Crawford, J. M., Daßler-Plenker, J., Guerci, P., Huynh, C., Knight, J. S., et al. (2020) · Journal of Experimental Medicine · doi:10.1084/jem.20200652 · Cited by 1,486
Xiong, Y., Liu, Y., Cao, L., Wang, D., Guo, M., Jiang, A., Guo, D., Hu, W., Yang, J., Tang, Z., et al. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1747363 · Cited by 1,076
Cited by
D‐dimer levels on admission to predict in‐hospital mortality in patients with Covid‐19
Zhang, L., Yan, X., Fan, Q., Liu, H., Liu, X., Liu, Z., & Zhang, Z. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14859 · Cited by 1,347
Endothelial dysfunction and immunothrombosis as key pathogenic mechanisms in COVID-19
Bonaventura, A., Vecchié, A., Dagna, L., Martinod, K., Dixon, D. L., Van Tassell, B. W., Dentali, F., Montecucco, F., Massberg, S., Levi, M., et al. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00536-9 · Cited by 987
Self-citationVertical transmission of coronavirus disease 2019: a systematic review and meta-analysis
Kotlyar, A. M., Grechukhina, O., Chen, A., Popkhadze, S., Grimshaw, A., Tal, O., Taylor, H. S., & Tal, R. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.07.049 · Cited by 666
Liu, D., Li, L., Wu, X., Zheng, D., Wang, J., Yang, L., & Zheng, C. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23072 · Cited by 572
The unique characteristics of COVID-19 coagulopathy
Iba, T., Levy, J. H., Connors, J. M., Warkentin, T. E., Thachil, J., & Levi, M. (2020) · Critical Care · doi:10.1186/s13054-020-03077-0 · Cited by 533
Self-citation
Metadata
- Authors
- Iba, T., Levy, J. H., Levi, M., Connors, J. M., & Thachil, J.
- Venue
- Critical Care Medicine
- Published
- 2020-05-28
- Volume
- 48
- Issue
- 9
- Pages
- 1358-1364
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W3028615142
- Cited by
- 534
- References
- 12
- FWCI
- 14.15
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coagulopathy of Coronavirus Disease 2019. https://app.cochat.ai/papers/10.1097/ccm.0000000000004458
- The paper
- Iba, T., Levy, J. H., Levi, M., Connors, J. M., & Thachil, J. (2020). Coagulopathy of Coronavirus Disease 2019. Critical Care Medicine. https://doi.org/10.1097/ccm.0000000000004458
Data sources
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.
