Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2-Reference-Cited by-同舟云学术

Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2

Published:2024-08-06 Issue:8 Volume:2024 Page:
ISSN:1465-1858
Container-title:Cochrane Database of Systematic Reviews
language:en
Short-container-title:

Author:

De Rop Liselore¹,Bos David AG¹,Stegeman Inge²³,Holtman Gea⁴,Ochodo Eleanor A⁵⁶,Spijker René⁷⁸,Otieno Jenifer A⁵,Alkhlaileh Fade¹,Deeks Jonathan J⁹¹⁰,Dinnes Jacqueline⁹¹⁰,Van den Bruel Ann¹,McInnes Matthew DF¹¹,Leeflang Mariska MG¹², ,Verbakel Jan Y¹¹³

Affiliation:

1. Department of Public Health and Primary Care; KU Leuven; Leuven Belgium

2. Department of Otorhinolaryngology and Head & Neck Surgery; University Medical Center Utrecht; Utrecht Netherlands

3. Brain Center; University Medical Center Utrecht; Utrecht Netherlands

4. Department of Primary- and Long-term Care; University of Groningen, University Medical Centre Groningen; Groningen Netherlands

5. Centre for Global Health Research; Kenya Medical Research Institute; Kisumu Kenya

6. Centre for Evidence-based Health Care, Department of Global Health, Faculty of Medicine and Health Sciences; Stellenbosch University; Cape Town South Africa

7. Cochrane Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University; Utrecht Netherlands

8. Medical Library; Amsterdam UMC, University of Amsterdam, Amsterdam Public Health; Amsterdam Netherlands

9. Test Evaluation Research Group, Institute of Applied Health Research; University of Birmingham; Birmingham UK

10. NIHR Birmingham Biomedical Research Centre; University Hospitals Birmingham NHS Foundation Trust and University of Birmingham; Birmingham UK

11. Department of Radiology, The Ottawa Hospital Research Institute; University of Ottawa; Ottawa Canada

12. Department of Clinical Epidemiology, Biostatistics and Bioinformatics; Amsterdam University Medical Centers, University of Amsterdam; Amsterdam Netherlands

13. Nuffield Department of Primary Care Health Sciences; University of Oxford; Oxford United Kingdom

Publisher

Wiley

Reference102 articles.

1. COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection;Al-Samkari;Blood,2020

2. Development and validation of a prognostic model for early triage of patients diagnosed with COVID-19;An;Scientific Reports,2021

3. Predicting outcomes of COVID-19 from admission biomarkers: a prospective UK cohort study;Arnold;Emergency Medicine Journal,2021

4. Association of inflammatory markers with mortality in COVID-19 infection;Arshad;Journal of the College of Physicians and Surgeons Pakistan,2020

5. Significance of hemogram-derived ratios for predicting in-hospital mortality in COVID-19: a multicenter study;Asaduzzaman;Health Science Reports,2022