Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis
Open accessAbstract
Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker.
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ICRs have been repeatedly proposed as solid prognostic markers for various additional conditions including low-grade inflammation, rheumatic diseases, sepsis, myocarditis, thrombosis, ischemic and cardiovascular events, autoimmune and systemic diseases, cancer incidence, progression, response and outcome, COVID-19 severity and prognosis, critical illness, and overall mortality.
“Since then, IRCs have been repeatedly proposed as solid prognostic markers for various additional conditions including low-grade inflammation, rheumatic diseases, sepsis, myocarditis, thrombosis, ischemic and cardiovascular events, autoimmune and systemic diseases, cancer incidence, progression, response and outcome, COVID-19 severity and prognosis, critical illness, and overall mortality [26,27,2”
From Immune Cell Ratios Are Higher in Bipolar Affective than Unipolar Depressive Disorder and Modulated by Mood Episode: A Retrospective, Cross-Sectional Study (2023) · cites this paper as [35]
The Introduction says inflammatory markers have been used to prognosticate inflammatory diseases and cancers, and the review reports evidence for predicting COVID-19 severity and outcomes, including death. It does not establish the claimed prognostic uses across the full list of conditions, such as rheumatic diseases, myocarditis, thrombosis, and autoimmune diseases; the Conclusion also notes that some markers need further study. (LLM, conf=0.87)
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Cited by
Sorted by citations
Koureta, A., Asimakopoulos, L. O., Bozikas, V. P., & Agorastos, A. (2023) · Brain Sciences · doi:10.3390/brainsci13030448 · Cited by 12 · see citing works
- Authors
- Karimi, A., Shobeiri, P., Kulasinghe, A., & Rezaei, N.
- Affiliations
- Universal Scientific Education and Research Network (IR)
- Queensland University of Technology (AU)
- Corresponding author
- Rezaei, Nima
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2021-10-22
- Volume
- 12
- Pages
- 741061-741061
- ISSN
- 1664-3224 (ISSN-L)
- PMC
- PMC8569430
- OpenAlex
- W3208342532
- Cited by
- 171
- References
- 3
- Citations by year
- 2026: 13 · 2025: 39 · 2024: 46 · 2023: 50 · 2022: 23
- FWCI
- 3.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Immunology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Keywords
- COVID-19 pandemic, SARS-CoV-2, systemic inflammatory markers, prognostic factors, neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, prognostic nutritional index, C-reactive protein to albumin ratio, risk stratification, disease severity prediction
- MeSH terms
- COVID-19, SARS-CoV-2, C-Reactive Protein, Humans, Inflammation, Lymphocytes, Neutrophils, Prognosis, Severity of Illness Index, Biomarkers, Disease Progression
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