We appreciate the comments by Dr. Zhang and Dr. Xu on our article,^1^ which affirmed our research and provided valuable suggestions. The coronavirus disease 2019 (COVID-19) outbreak in late December 2019 quickly emerged into a pandemic in 2020. However, there are currently no effective drugs or vaccines for COVID-19. The COVID-19 mortality risk score model may help clinicians reduce COVID-19-related mortality by implementing better strategies for use of limited medical resources. As the commentators suggested, our model still needs further validation studies. Patients in our study were hospitalized with laboratory-confirmed diagnosed COVID-19 in Wuhan, China, which might not be representative of the non-hospitalized patients and patients of other races and ethnicities. In addition, prediction for progression risk in COVID-19 patients requires further research. Previous studies mostly focused on the study of risk factors for COVID-19 mortality, but there have been a few studies on establishing models for COVID-19 mortality.^2--5^ To apply the prediction model to the clinic more quickly and optimally, we hope that more scholars will study and validate this model in different populations and regions: fighting the epidemic together, as peers all over the world.

ACKNOWLEDGMENTS {#sec0001}
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This work was supported by the grants from the HUST COVID-19 Rapid Response Call (No. 2020kfyXGYJ040).

The authors would like to thank all participants of the present study.

No financial disclosures were reported by the authors of this paper.

REFERENCES {#sec0002}
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1Yu C, Lei Q, Li W, et al. Clinical characteristics, associated factors, and predicting COVID-19 mortality risk: a retrospective study in Wuhan, China. *Am J Prev Med*. 2020;59(2):168‒175. <https://doi.org/10.1016/j.amepre.2020.05.002>.2Yan L, Zhang H, Goncalves J, et al. An interpretable mortality prediction model for COVID-19 patients. *Nat Mach Intell*. 2020;2(5):283‒288. <https://doi.org/10.1038/s42256-020-0180-7>.3Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. *Lancet*. 2020;395(10229):1054‒1062. <https://doi.org/10.1016/s0140-6736(20)30566-3>.4Zhang L, Yan X, Fan Q, et al. D-dimer levels on admission to predict in-hospital mortality in patients with Covid-19. *J Thromb Haemost*. 2020;18(6):1324‒1329. <https://doi.org/10.1111/jth.14859>.5Sun Y, Koh V, Marimuthu K, et al. Epidemiological and clinical predictors of COVID-19. *Clin Infect Dis*. 2020;71(15):786‒792. <https://doi.org/10.1093/cid/ciaa322>.
