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Original Articles

A biomarker based severity progression indicator for COVID-19: the Kuwait prognosis indicator score

ORCID Icon, , , , , , , & show all
Pages 641-648 | Received 29 Jun 2020, Accepted 19 Oct 2020, Published online: 24 Nov 2020

References

  • Ahrens, A., Hansen, C.B., and Schaffer, M.E., 2020. Lassopack: model selection and prediction with regularized regression in Stata. The stata journal: promoting communications on statistics and stata, 20 (1), 176–235.
  • Chen, J., et al., 2020. Clinical progression of patients with COVID-19 in Shanghai, China. Journal of infection, 80 (5), e1–e6.
  • Dong, E., Du, H., and Gardner, L., 2020. An interactive web-based dashboard to track COVID-19 in real time. The lancet. Infectious diseases, 20 (5), 533–534.
  • Dudel, C., et al., 2020. Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: contributions of age structure and age-specific fatality. PLOS one, 15 (9), e0238904. doi:10.1371/journal.pone.0238904
  • Ensor, J., Snell, K.I.E., and Martin, E.C., 2018. “PMCALPLOT: Stata module to produce calibration plot of prediction model performance,” Statistical Software Components S458486, Boston College Department of Economics, revised 04 Jan 2020.
  • Gong, J., et al., 2020. A tool to early predict severe corona virus disease 2019 (COVID-19): a multicenter study using the risk nomogram in Wuhan and Guangdong, China. Clinical infectious diseases, 71 (15), 833–840.
  • Hu, R., et al., 2020. Procalcitonin levels in COVID-19 patients. International journal of antimicrobial agents, 56 (2), 106051.
  • Mehta, P., et al., 2020. COVID-19: consider cytokine storm syndromes and immunosuppression. The lancet, 395 (10229), 1033–1034.
  • Richardson, S., the Northwell COVID-19 Research Consortium., et al., 2020. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City Area. JAMA, 323 (20), 2052–2059.
  • Schuetz, P., Albrich, W., and Mueller, B., 2011. Procalcitonin for diagnosis of infection and guide to antibiotic decisions: past, present and future. BMC medicine, 9, 107.
  • Shi, Y., et al., 2020. Host susceptibility to severe COVID-19 and establishment of a host risk score: findings of 487 cases outside Wuhan. Critical care, 24 (1), 108.
  • Tan, L., et al., 2020. Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal transduction and targeted therapy, 5 (1), 33.
  • Violi,F., et al., 2020. Is albumin predictor of mortality in COVID-19? Antioxidants & redox signaling. doi:10.1089/ars.2020.8142
  • Wang, L., 2020. C-reactive protein levels in the early stage of COVID-19. Medecine et maladies infectieuses, 50 (4), 332–334.
  • Wynants, L., et al., 2020. Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ, 369, m1328.
  • Yan, L., et al., 2020. An interpretable mortality prediction model for COVID-19 patients. Nature machine intelligence, 1–6.doi:10.1038/s42256-020-0180-7
  • Zhu, N., et al., 2020. A novel coronavirus from patients with pneumonia in China, 2019. The new England journal of medicine, 382 (8), 727–733.

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