The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Fungal Co-infections Associated with Global COVID-19 Pandemic: A Clinical and Diagnostic Perspective from China
Open accessAbstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been sweeping across the globe. Based on a retrospective analysis of SARS and influenza data from China and worldwide, we surmise that the fungal co-infections associated with global COVID-19 might be missed or misdiagnosed. Although there are few publications, COVID-19 patients, especially severely ill or immunocompromised, have a higher probability of suffering from invasive mycoses. Aspergillus and Candida infections in COVID-19 patients will require early detection by a comprehensive diagnostic intervention (histopathology, direct microscopic examination, culture, (1,3)-β-d-glucan, galactomannan, and PCR-based assays) to ensure effective treatments. We suggest it is prudent to assess the risk factors, the types of invasive mycosis, the strengths and limitations of diagnostic methods, clinical settings, and the need for standard or individualized treatment in COVID-19 patients. We provide a clinical flow diagram to assist the clinicians and laboratory experts in the management of aspergillosis, candidiasis, mucormycosis, or cryptococcosis as co-morbidities in COVID-19 patients.
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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
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
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
Pappas, P. G., Kauffman, C. A., Andes, D., Benjamin, D. K., Calandra, T. F., Edwards, J. E., Filler, S. G., Fisher, J. F., Kullberg, B.-J., Zeichner, L. O., et al. (2009) · Clinical Infectious Diseases · doi:10.1086/596757 · Cited by 3,191
Patterson, T. F., Thompson, G. R., Denning, D. W., Fishman, J. A., Hadley, S., Herbrecht, R., Kontoyiannis, D. P., Marr, K. A., Morrison, V. A., Nguyen, M. H., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw326 · Cited by 2,926
Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Baghbanzadeh, M., Aghamohammadi, N., Zhang, W., & Haque, U. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa033 · Cited by 1,610
COVID-19 Associated Pulmonary Aspergillosis
Koehler, P., Cornely, O. A., Böttiger, B. W., Dusse, F., Eichenauer, D. A., Fuchs, F., Hallek, M., Jung, N., Klein, F., Persigehl, T., et al. (2020) · Mycoses · doi:10.1111/myc.13096 · Cited by 547
Mikulska, M., Calandra, T., Sanguinetti, M., Poulain, D., Viscoli, C., & the Third European Conference on Infections in Leukemia Group (2010) · Critical Care · doi:10.1186/cc9365 · Cited by 319
Cited by
Post coronavirus disease mucormycosis: a deadly addition to the pandemic spectrum
Sharma, S., Grover, M., Bhargava, S., Samdani, S., & Kataria, T. (2021) · The Journal of Laryngology & Otology · doi:10.1017/s0022215121000992 · Cited by 398
The Landscape of Candidemia During the Coronavirus Disease 2019 (COVID-19) Pandemic
Seagle, E. E., Jackson, B. R., Lockhart, S. R., Georgacopoulos, O., Nunnally, N. S., Roland, J., Barter, D. M., Johnston, H. L., Czaja, C. A., Kayalioglu, H., et al. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciab562 · Cited by 141
Machado, M., Estévez, A., Sánchez-Carrillo, C., Guinea, J., Escribano, P., Alonso, R., Valerio, M., Padilla, B., Bouza, E., & Muñoz, P. (2022) · Journal of Fungi · doi:10.3390/jof8030305 · Cited by 53
Metadata
- Authors
- Song, G., Liang, G., & Liu, W.
- Venue
- Mycopathologia
- Published
- 2020-07-31
- Volume
- 185
- Issue
- 4
- Pages
- 599-606
- ISSN
- 0301-486X (ISSN-L)
- 1573-0832
- OpenAlex
- W3046718123
- Cited by
- 644
- References
- 9
- FWCI
- 16.84
- Type
- journal article
- Language
- en
- Open access
- green
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- Song, G., Liang, G., & Liu, W. (2020). Fungal Co-infections Associated with Global COVID-19 Pandemic: A Clinical and Diagnostic Perspective from China. Mycopathologia. https://doi.org/10.1007/s11046-020-00462-9
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