The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
A Review of Persistent Post-COVID Syndrome (PPCS)
Open accessAbstract
Persistent post-COVID syndrome, also referred to as long COVID , is a pathologic entity, which involves persistent physical, medical, and cognitive sequelae following COVID-19, including persistent immunosuppression as well as pulmonary, cardiac, and vascular fibrosis. Pathologic fibrosis of organs and vasculature leads to increased mortality and severely worsened quality of life. Inhibiting transforming growth factor beta (TGF-β), an immuno- and a fibrosis modulator, may attenuate these post-COVID sequelae. Current preclinical and clinical efforts are centered on the mechanisms and manifestations of COVID-19 and its presymptomatic and prodromal periods; by comparison, the postdrome, which occurs in the aftermath of COVID-19, which we refer to as persistent post-COVID-syndrome, has received little attention. Potential long-term effects from post-COVID syndrome will assume increasing importance as a surge of treated patients are discharged from the hospital, placing a burden on healthcare systems, patients’ families, and society in general to care for these medically devastated COVID-19 survivors. This review explores underlying mechanisms and possible manifestations of persistent post-COVID syndrome, and presents a framework of strategies for the diagnosis and management of patients with suspected or confirmed persistent post-COVID syndrome.
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Raghu, G., Collard, H. R., Egan, J. J., Martinez, F. J., Behr, J., Brown, K. K., Colby, T. V., Cordier, J.-F., Flaherty, K. R., Lasky, J. A., et al. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2009-040gl · Cited by 7,186
Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China
Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q., Chang, J., Hong, C., Zhou, Y., Wang, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1127 · Cited by 7,166
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
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Shi, H., Han, X., Jiang, N., Cao, Y., Alwalid, O., Gu, J., Fan, Y., & Zheng, C. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30086-4 · Cited by 3,664
Functional Disability 5 Years after Acute Respiratory Distress Syndrome
Herridge, M. S., Tansey, C. M., Matté, A., Tomlinson, G., Diaz-Granados, N., Cooper, A., Guest, C. B., Mazer, C. D., Mehta, S., Stewart, T. E., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011802 · Cited by 2,847
Sepsis-induced immunosuppression: from cellular dysfunctions to immunotherapy
Hotchkiss, R. S., Monneret, G., & Payen, D. (2013) · Nature Reviews Immunology · doi:10.1038/nri3552 · Cited by 2,772
Yao, X., Ye, F., Zhang, M., Cui, C., Huang, B., Niu, P., Liu, X., Zhao, L., Dong, E., Song, C., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa237 · Cited by 2,662
Epidemiologic Features and Clinical Course of Patients Infected With SARS-CoV-2 in Singapore
Young, B. E., Ong, S. W. X., Kalimuddin, S., Low, J. G., Tan, S. Y., Loh, J., Ng, O.-T., Marimuthu, K., Ang, L. W., Mak, T. M., et al. (2020) · JAMA · doi:10.1001/jama.2020.3204 · Cited by 2,059
Nervous system involvement after infection with COVID-19 and other coronaviruses
Wu, Y., Xu, X., Chen, Z., Duan, J., Hashimoto, K., Yang, L., Liu, C., & Yang, C. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.03.031 · Cited by 2,046
Tian, S., Hu, W., Niu, L., Liu, H., Xu, H., & Xiao, S.-Y. (2020) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2020.02.010 · Cited by 1,414
Cited by
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: a systematic review and meta-analysis
Ceban, F., Ling, S., Lui, L. M. W., Lee, Y., Gill, H., Teopiz, K. M., Rodrigues, N. B., Subramaniapillai, M., Di Vincenzo, J. D., Cao, B., et al. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.12.020 · Cited by 1,554
Pathophysiology and mechanism of long COVID: a comprehensive review
Castanares-Zapatero, D., Chalon, P., Kohn, L., Dauvrin, M., Detollenaere, J., Maertens de Noordhout, C., Primus-de Jong, C., Cleemput, I., & Van den Heede, K. (2022) · Annals of Medicine · doi:10.1080/07853890.2022.2076901 · Cited by 585
Heightman, M., Prashar, J., Hillman, T. E., Marks, M., Livingston, R., Ridsdale, H. A., Roy, K., Bell, R., Zandi, M., McNamara, P., et al. (2021) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2021-001041 · Cited by 110
Understanding long COVID: nosology, social attitudes and stigma
Byrne, E. A. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.09.012 · Cited by 61
Metadata
- Authors
- Oronsky, B., Larson, C., Hammond, T. C., Oronsky, A., Kesari, S., Lybeck, M., & Reid, T. R.
- Venue
- Clinical Reviews in Allergy & Immunology
- Published
- 2021-02-20
- Volume
- 64
- Issue
- 1
- Pages
- 66-74
- ISSN
- 1080-0549 (ISSN-L)
- 1559-0267
- OpenAlex
- W3133314732
- Cited by
- 422
- References
- 49
- FWCI
- 36.78
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Oronsky, B., Larson, C., Hammond, T. C., Oronsky, A., Kesari, S., Lybeck, M., & Reid, T. R. (2021). A Review of Persistent Post-COVID Syndrome (PPCS). Clinical Reviews in Allergy & Immunology. https://doi.org/10.1007/s12016-021-08848-3
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