↓ Skip to main content

Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19

Overview of attention for book
Cover of 'Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The COVID-19 Pandemic: SARS-CoV-2 Structure, Infection, Transmission, Symptomology, and Variants of Concern.
  3. Altmetric Badge
    Chapter 2 Long-Term Vaccination and Treatment Strategies for COVID-19 Disease and Future Coronavirus Pandemics.
  4. Altmetric Badge
    Chapter 3 Consequences of the Lockdown: Domestic Violence During the COVID-19 Pandemic.
  5. Altmetric Badge
    Chapter 4 Psychological Distress Impact of Coronavirus Disease (COVID-19) Outbreak on Three Continents: A Systematic Review and Meta-analysis.
  6. Altmetric Badge
    Chapter 5 A Molecular Biomarker-Based Triage Approach for Targeted Treatment of Post-COVID-19 Syndrome Patients with Persistent Neurological or Neuropsychiatric Symptoms
  7. Altmetric Badge
    Chapter 6 Genetic Associations with Coronavirus Susceptibility and Disease Severity
  8. Altmetric Badge
    Chapter 7 COVID Diagnostics: From Molecules to Omics
  9. Altmetric Badge
    Chapter 8 Assessing Biomarkers in Viral Infection.
  10. Altmetric Badge
    Chapter 9 Proteomic Investigation of COVID-19 Severity During the Tsunamic Second Wave in Mumbai
  11. Altmetric Badge
    Chapter 10 NMR-Metabolomics in COVID-19 Research.
  12. Altmetric Badge
    Chapter 11 Potential Biomarkers of Mitochondrial Dysfunction Associated with COVID-19 Infection.
  13. Altmetric Badge
    Chapter 12 Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19.
  14. Altmetric Badge
    Chapter 13 Predicting the COVID-19 Patients Status Using Chest CT Scan Findings: A Risk Assessment Model Based on Decision Tree Analysis
  15. Altmetric Badge
    Chapter 14 Inferring Recombination Events in SARS-CoV-2 Variants In Silico.
  16. Altmetric Badge
    Chapter 15 Amplicon-Based Nanopore Sequencing of Patients Infected by the SARS-CoV-2 Omicron (B.1.1.529) Variant in India.
  17. Altmetric Badge
    Chapter 16 Perspectives on Rapid Antigen Tests for Downstream Validation and Development of Theranostics
  18. Altmetric Badge
    Chapter 17 Machine Learning and COVID-19: Lessons from SARS-CoV-2
  19. Altmetric Badge
    Chapter 18 The Relationship Between Psoriasis, COVID-19 Infection and Vaccination During Treatment of Patients
  20. Altmetric Badge
    Chapter 19 Immunogenicity of Inactivated SARS-CoV-2 Vaccine (BBIBP-CorV; Sinopharm) and Short-Term Clinical Outcomes in Vaccinated Solid Organ Transplant Recipients: A Prospective Cohort Study
  21. Altmetric Badge
    Chapter 20 Spices and Biomarkers of COVID-19: A Mechanistic and Therapeutic Perspective.
  22. Altmetric Badge
    Chapter 21 Antiviral Mechanisms of Curcumin and Its Derivatives in Prevention and Treatment of COVID-19: A Review.
  23. Altmetric Badge
    Chapter 22 Evaluation of Curcumin-Piperine Supplementation in COVID-19 Patients Admitted to the Intensive Care: A Double-Blind, Randomized Controlled Trial
  24. Altmetric Badge
    Chapter 23 Chronobiological Efficacy of Combined Therapy of Pelargonium Sidoides and Melatonin in Acute and Persistent Cases of COVID-19: A Hypothetical Approach.
  25. Altmetric Badge
    Chapter 24 The Potential Effect of Royal Jelly on Biomarkers Related to COVID-19 Infection and Severe Progression
  26. Altmetric Badge
    Chapter 25 Statins: Beneficial Effects in Treatment of COVID-19.
  27. Altmetric Badge
    Chapter 26 Multiplex Immunoassay Approaches Using Luminex® xMAP® Technology for the Study of COVID-19 Disease.
  28. Altmetric Badge
    Chapter 27 Rapid Detection of SARS-CoV-2 Variants of Concern by Genomic Surveillance Techniques
Attention for Chapter 12: Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19.
Chapter number 12
Book title
Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19
Published in
Advances in experimental medicine and biology, June 2023
DOI 10.1007/978-3-031-28012-2_12
Pubmed ID
Book ISBNs
978-3-03-128011-5, 978-3-03-128012-2
Authors

Kouhpeikar, Hamideh, Khazir, Zahra, Naghipour, Armin, Tabasi, Hamidreza Khosaravizade, Khezri, Mohammad Taghi, Abdollai, Mostafa, Ayar, Ayub, Jamialahmadi, Tannaz, Sathyapalan, Thozhukat, Abbasifard, Mitra, Sahebkar, Amirhossein

Abstract

COVID-19 disease caused by the SARS-CoV-2 virus can lead to an acute respiratory illness with a high hospitalization and mortality risk. Therefore, prognostic indicators are essential for early interventions. As a component of complete blood counts, the coefficient of variation (CV) of red blood cell distribution width (RDW) reflects cellular volume variations. It has been shown that RDW is associated with increased mortality risk in a wide range of diseases. This study aimed to determine the relationship between RDW and mortality risk in COVID-19 patients. This retrospective study was performed on 592 patients admitted to hospital between February 2020 and December 2020. Patients were divided into low and high RDW groups and the relationship between RDW and mortality, intubation, admission to intensive care unit (ICU), and need for oxygen therapy was investigated. The mortality rate in the low RDW group was 9.4%, while that in the high group was 20% (p < 0.001). Also, ICU admission in the low group was 8%, whereas this was 10% in the high RDW group (p = 0.040). The results of the Kaplan-Meyer curve showed that the survival rate was higher in the low group compared to the high RDW group. Cox results in the crude model showed that higher RDW values were directly related to increased mortality, although this was not significant after adjustment for other covariates. The results of our study reveal that high RDW is associated with increased hospitalization and risk of death and that RDW may be a reliable indicator of COVID-19 prognosis.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2023.
All research outputs
#16,267,236
of 23,968,814 outputs
Outputs from Advances in experimental medicine and biology
#2,617
of 5,080 outputs
Outputs of similar age
#245,389
of 438,544 outputs
Outputs of similar age from Advances in experimental medicine and biology
#28
of 75 outputs
Altmetric has tracked 23,968,814 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,080 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.