Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach-Reference-Cited by-同舟云学术

Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach

Published:2020-10-02 Issue:12 Volume:58 Page:e299-e302
ISSN:1434-6621
Container-title:Clinical Chemistry and Laboratory Medicine (CCLM)
language:en
Short-container-title:

Author:

Santos-Lozano Alejandro¹²,Calvo-Boyero Fernando³,López-Jiménez Ana³,Cueto-Felgueroso Cecilia³,Castillo-García Adrián⁴,Valenzuela Pedro L.⁵,Arenas Joaquín²,Lucia Alejandro²⁶⁷,Martín Miguel A.²⁸

Affiliation:

1. i+HeALTH, European University Miguel de Cervantes , Valladolid , Spain

2. Research Institute of the Hospital 12 de Octubre (‘imas12’) , Madrid , Spain

3. Clinical Biochemistry Department , Hospital 12 de Octubre , Madrid , Spain

4. Fissac – Physiology, Health and Physical Activity , Madrid , Spain

5. Systems Biology Department , University of Alcalá , Madrid , Spain

6. Faculty of Sport Sciences , Universidad Europea de Madrid , Madrid , Spain

7. Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES) , Madrid , Spain

8. Mitochondrial Disorders Laboratory , “Hospital 12 de Octubre” and Spanish Biomedical Network for Rare Disorders (CIBERER) , Madrid , Spain

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry, medical,Clinical Biochemistry,General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/cclm-2020-0730/pdf

Reference14 articles.

1. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200824-weekly-epi-update.pdf?sfvrsn=806986d1_4 [Accessed 27 Aug 2020].

2. https://www.ecdc.europa.eu/en/publications-data/rapid-risk-assessment-coronavirus-disease-2019-covid-19-pandemic-eighth-update.

3. Lippi, G, Plebani, M. The critical role of laboratory medicine during coronavirus disease 2019 (COVID-19) and other viral outbreaks. Clin Chem Lab Med 2020;58:1063–9. https://doi.org/10.1515/cclm-2020-0240.

4. Zhao, X, Zhang, B, Li, P, Ma, C, Gu, J, Hou, P, et al. Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis. medRxiv 2020:1–13. February 2019.

5. Lippi, G, Plebani, M. Laboratory abnormalities in patients with COVID-2019 infection. Clin Chem Lab Med 2020;58:1131–4. https://doi.org/10.1515/cclm-2020-0198.

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