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Autopsy Findings and Venous Thromboembolism in Patients With COVID-19: A Prospective Cohort Study
Open accessAbstract
BACKGROUND: The new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused more than 210 000 deaths worldwide. However, little is known about the causes of death and the virus's pathologic features. OBJECTIVE: To validate and compare clinical findings with data from medical autopsy, virtual autopsy, and virologic tests. DESIGN: Prospective cohort study. SETTING: Autopsies performed at a single academic medical center, as mandated by the German federal state of Hamburg for patients dying with a polymerase chain reaction-confirmed diagnosis of COVID-19. PATIENTS: The first 12 consecutive COVID-19-positive deaths. MEASUREMENTS: Complete autopsy, including postmortem computed tomography and histopathologic and virologic analysis, was performed. Clinical data and medical course were evaluated. RESULTS: = 2). Coronary heart disease and asthma or chronic obstructive pulmonary disease were the most common comorbid conditions (50% and 25%, respectively). Autopsy revealed deep venous thrombosis in 7 of 12 patients (58%) in whom venous thromboembolism was not suspected before death; pulmonary embolism was the direct cause of death in 4 patients. Postmortem computed tomography revealed reticular infiltration of the lungs with severe bilateral, dense consolidation, whereas histomorphologically diffuse alveolar damage was seen in 8 patients. In all patients, SARS-CoV-2 RNA was detected in the lung at high concentrations; viremia in 6 of 10 and 5 of 12 patients demonstrated high viral RNA titers in the liver, kidney, or heart. LIMITATION: Limited sample size. CONCLUSION: The high incidence of thromboembolic events suggests an important role of COVID-19-induced coagulopathy. Further studies are needed to investigate the molecular mechanism and overall clinical incidence of COVID-19-related death, as well as possible therapeutic interventions to reduce it. PRIMARY FUNDING SOURCE: University Medical Center Hamburg-Eppendorf.
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A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
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
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
Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Chen, T., Wu, D., Chen, H., Yan, W., Yang, D., Chen, G., Ma, K., Xu, D., Yu, H., Wang, H., et al. (2020) · BMJ · doi:10.1136/bmj.m1091 · Cited by 3,903
Giannis, D., Ziogas, I. A., & Gianni, P. (2020) · Journal of Clinical Virology · doi:10.1016/j.jcv.2020.104362 · Cited by 893
Research works printed but not linked: 24
- 10.1001/jama.2020.2648 · DOI · Paper page
- 10.1111/jth.14768 · DOI · Paper page
- 10.1093/ajcp/aqaa062 · DOI · Paper page
- 10.7326/0003-4819-156-2-201201170-00008 · DOI
- 10.2807/1560-7917.ES.2020.25.3.2000045 · DOI · Paper page
- 10.1016/j.antiviral.2018.07.017 · DOI
- 10.1097/PAF.0b013e31823d29ad · DOI · Paper page
- 10.1097/PAF.0000000000000175 · DOI
- 10.1164/rccm.202003-0736LE · DOI · Paper page
- 10.1164/rccm.202003-0543OC · DOI · Paper page
- 10.7326/M13-2211 · doi:10.7326/m13-2211
- 10.1136/jclinpath-2020-206522 · DOI · Paper page
- 10.1182/blood-2013-09-526277 · DOI
- 10.1148/radiol.2020201629 · DOI · Paper page
- 10.1016/S0140-6736(20)30920-X · DOI · Paper page
- 10.1007/s00063-020-00689-w · DOI
- 10.1016/j.thromres.2019.07.013 · DOI · Paper page
- 10.7326/M20-0533 · DOI · Paper page
- 10.1016/j.jtho.2020.02.010 · DOI · Paper page
- 10.1073/pnas.2004168117 · DOI · Paper page
- Dreher M, 2020, Dtsch Arztebl Int, 117, 271
- 10.1002/path.1560 · DOI · Paper page
- 10.1111/jth.14817 · DOI · Paper page
- 10.1016/j.jacc.2020.04.031 · DOI · Paper page
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Neuropathology of patients with COVID-19 in Germany: a post-mortem case series
Matschke, J., Lütgehetmann, M., Hagel, C., Sperhake, J. P., Schröder, A. S., Edler, C., Mushumba, H., Fitzek, A., Allweiss, L., Dandri, M., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30308-2 · Cited by 1,300
Self-citationRole of angiotensin-converting enzyme 2 (ACE2) in COVID-19
Ni, W., Yang, X., Yang, D., Bao, J., Li, R., Xiao, Y., Hou, C., Wang, H., Liu, J., Yang, D., et al. (2020) · Critical Care · doi:10.1186/s13054-020-03120-0 · Cited by 1,175
Interplay between inflammation and thrombosis in cardiovascular pathology
Stark, K., & Massberg, S. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00552-1 · Cited by 1,033
SARS-CoV-2 D614G variant exhibits efficient replication ex vivo and transmission in vivo
Hou, Y. J., Chiba, S., Halfmann, P., Ehre, C., Kuroda, M., Dinnon, K. H., Leist, S. R., Schäfer, A., Nakajima, N., Takahashi, K., et al. (2020) · Science · doi:10.1126/science.abe8499 · Cited by 900
Metadata
- Authors
- Wichmann, D., Sperhake, J.-P., Lütgehetmann, M., Steurer, S., Edler, C., Heinemann, A., Heinrich, F., Mushumba, H., Kniep, I., Schröder, A. S., Burdelski, C., de Heer, G., Nierhaus, A., Frings, D., Pfefferle, S., Becker, H., Bredereke-Wiedling, H., de Weerth, A., Paschen, H.-R., Sheikhzadeh-Eggers, S., Stang, A., Schmiedel, S., Bokemeyer, C., Addo, M. M., Aepfelbacher, M., Püschel, K., & Kluge, S.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2020-08-18
- Volume
- 173
- Issue
- 4
- Pages
- 268-277
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W3126061642
- Cited by
- 2,274
- References
- 5
- FWCI
- 61.93
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Wichmann, D., Sperhake, J.-P., Lütgehetmann, M., Steurer, S., Edler, C., Heinemann, A., Heinrich, F., Mushumba, H., Kniep, I., Schröder, A. S., Burdelski, C., de Heer, G., Nierhaus, A., Frings, D., Pfefferle, S., Becker, H., Bredereke-Wiedling, H., de Weerth, A., Paschen, H.-R., . . . Kluge, S. (2020). Autopsy Findings and Venous Thromboembolism in Patients With COVID-19: A Prospective Cohort Study. Annals of Internal Medicine. https://doi.org/10.7326/m20-2003
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