The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation
Open accessAbstract
Background: Clinical findings indicated that a fraction of coronavirus disease 2019 (COVID-19) patients diagnosed as mild early may progress to severe cases. However, it is difficult to distinguish these patients in the early stage. The present study aimed to describe the clinical characteristics of these patients, analyze related factors, and explore predictive markers of the disease aggravation. Methods: Clinical and laboratory data of nonsevere adult COVID-19 patients in Changsha, China, were collected and analyzed on admission. A logistic regression model was adopted to analyze the association between the disease aggravation and related factors. The receiver operating characteristic curve (ROC) was utilized to analyze the prognostic ability of C-reactive protein (CRP). Results: About 7.7% (16/209) of nonsevere adult COVID-19 patients progressed to severe cases after admission. Compared with nonsevere patients, the aggravated patients had much higher levels of CRP (median [range], 43.8 [12.3–101.9] mg/L vs 12.1 [0.1–91.4] mg/L; P = .000). A regression analysis showed that CRP was significantly associated with aggravation of nonsevere COVID-19 patients, with an area under the curve of 0.844 (95% confidence interval, 0.761–0.926) and an optimal threshold value of 26.9 mg/L. Conclusions: CRP could be a valuable marker to anticipate the possibility of aggravation of nonsevere adult COVID-19 patients, with an optimal threshold value of 26.9 mg/L.
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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
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
Self-citationHui, D. S., I Azhar, E., Madani, T. A., Ntoumi, F., Kock, R., Dar, O., Ippolito, G., Mchugh, T. D., Memish, Z. A., Drosten, C., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.01.009 · Cited by 3,809
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Wang, E. Y., Mao, T., Klein, J., Dai, Y., Huck, J. D., Jaycox, J. R., Liu, F., Zhou, T., Israelow, B., Wong, P., et al. (2021) · Nature · doi:10.1038/s41586-021-03631-y · Cited by 992
Predictors of COVID‐19 severity: A literature review
Gallo Marin, B., Aghagoli, G., Lavine, K., Yang, L., Siff, E. J., Chiang, S. S., Salazar‐Mather, T. P., Dumenco, L., Savaria, M. C., Aung, S. N., et al. (2021) · Reviews in Medical Virology · doi:10.1002/rmv.2146 · Cited by 819
Elevated level of C‐reactive protein may be an early marker to predict risk for severity of COVID‐19
Ali, N. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26097 · Cited by 357
C-reactive protein: structure, function, regulation, and role in clinical diseases
Zhou, H.-H., Tang, Y.-L., Xu, T.-H., & Cheng, B. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1425168 · Cited by 162
Metadata
- Authors
- Wang, G., Wu, C., Zhang, Q., Wu, F., Yu, B., Lv, J., Li, Y., Li, T., Zhang, S., Wu, C., Wu, G., & Zhong, Y.
- Venue
- Open Forum Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-04-29
- Volume
- 7
- Issue
- 5
- Pages
- ofaa153-ofaa153
- ISSN
- 2328-8957 (ISSN-L)
- OpenAlex
- W3017944572
- Cited by
- 286
- References
- 4
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, G., Wu, C., Zhang, Q., Wu, F., Yu, B., Lv, J., Li, Y., Li, T., Zhang, S., Wu, C., Wu, G., & Zhong, Y. (2020). C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation. Open Forum Infectious Diseases. https://doi.org/10.1093/ofid/ofaa153
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