Summary
Keywords
Introduction

BIOMARKER | PATHOPHYSIOLOGY | CLINICAL UTILITY IN ADULT COVID-19 | REFERENCES |
---|---|---|---|
Hematological indices | |||
Hemoglobin | Reduced erythropoiesis due to inflammatory cytokines | Lower levels associated with: Lack of improvement No clear association with disease severity and outcomes | (16, 5, 11) |
Lymphocytes | Absolute count reduction, functional exhaustion of all populations (especially cytotoxic T-cells) Unknown exact mechanisms | Lower levels associated with: ↑Severity, ↑Mortality PMN/CD8+ ratio and PMN/Lymphocyte ratio may be used as prognostic markers | (52, 5, 1–4, 6, 10–13, 7) |
Monocytes/ Basophils/ Eosinophils | Absolute count reduction, Unknown exact mechanisms | No clear association with disease severity and outcomes | (14, 3, 10) |
Total white blood cells/Neutrophils | Increased due to inflammation | Higher levels associated with: ↑Severity, ↑Mortality, Bacterial superinfections | (1–4) |
Acute phase reactants | |||
Albumin | Reduced production due to inflammatory cytokines | Lower levels associated with: ↑Severity, ↑Mortality, Lack of improvement Low levels on admission may be used as prognostic marker for severity | (1, 2, 11, 6, 16, 19) |
C-reactive protein (CRP) | Increased production due to inflammatory cytokines | Higher levels associated with: ↑Severity, Lack of improvement, Bacterial superinfections | (1, 3, 16) |
Erythrocyte sedimentation rate | Increased in inflammation | Tendency for higher levels associated with: ↑Mortality | (1) |
Ferritin | Increased production due to inflammatory cytokines, released by activated macrophages | Higher levels associated with: ↑Severity, ↑Mortality High levels are indicators ofCSS/sHLH development | (1, 2, 6, 5) |
Procalcitonin | Increased production due to inflammatory cytokines | Higher levels associated with: ↑Severity, ↑Mortality, Bacterial superinfections | (4, 3, 18, 2, 6, 5, 19) |
Serum amyloid A | Increased production due to inflammatory cytokines | High levels seen among: all COVID-19 patients | (3) |
Biochemistry indices | |||
Cholinesterase | Unknown exact mechanism | Lower levels associated with: ↑ Severity | (53) |
Electrolytes (Na, K, Cl) | Multiple mechanisms (e.g. SIADH, acidosis etc.) | No clear association with disease severity and outcomes | (1, 11, 18, 51) |
Lactate dehydrogenase (LDH) | Released by cell injury | Higher levels associated with: ↑Severity, ↑Mortality, Lack of improvement High levels on admission may be used as prognostic marker for severity | (11, 2, 1, 6, 5, 19, 16) |
Triglycerides | Reduced lipoprotein lipase activity due to high TNF-α levels | Higher levels have been reported in fatal cases but not enough data Component of HScore for CSS/sHLH diagnosis | (1) |
TSH/FT3 | Possible euthyroid sick syndrome of critical illness | Higher levels have been reported in fatal cases, not enough data | (1) |
Cardiac biomarkers | |||
Hs-troponin I | Released by myocardial injury | Higher levels associated with:↑igher levels associa, lack of improvement High levels on admission or gradual increase may be used as prognostic marker for severity and mortality | (54, 31, 33, 4) |
Troponin T | Released by myocardial injury | Higher levels associated with: ↑igher levels associa | (32) |
CK-MB | Released by myocardial injury | Higher levels associated with:↑igher le | (33, 4) |
NT-proBNP | Increased production due to heart failure | Higher levels associated with:↑igher le | (31, 33) |
Renal function indices | |||
Creatinine | Decreased discharge due to renal injury | Higher levels associated with: ↑igher levels associa | (4, 2, 55, 34, 31) |
BUN | Decreased discharge due to renal injury | Higher levels associated with: ↑igher levels associa | (31, 34, 55, 4) |
Urinary protein | Possiblypositive due to renal dysfunction | Proteinuria may associated with:↑roteinuri (limited data) | (34) |
Urinary erythrocyte | Possibly positive due to renal dysfunction | Hematuria may associated with:↑ematuria (limited data) | (34) |
Liver function indices | |||
ALT | Possibly liver injury, unknown exact mechanism | Higher levels associated with: ↑igherity, (↑Mortality, indeterminate data) | (2, 31, 4, 18, 36) |
AST | Possibly myocardial or liver injury, unknown exact mechanism | Higher levels associated with: ↑igher leve(↑Mortality, indeterminate data) | (31, 4, 18, 36) |
TBIL | Unknown exact mechanism | Higher levels associated with: ↑igher le | (36, 31) |
GGT | Unknown exact mechanism | Higher levels associated with: ↑igher le (limited data) | (36) |
ALP | Increased levels in some patients, unknown exact mechanism | No clear association with disease severity and outcomes | (36, 56) |
Coagulation profile | |||
D-dimer | Elevated levels possibly due to hypercoagulability and secondary fibrinolysis | Higher levels associated with: ↑igher levels associa D-dimer>1 ng/mlon admission or gradual increase may be used as prognostic marker for severity and mortality | (4, 3, 2, 55, 31) |
PT | Prolonged PT possibly duehypercoagulability and secondary fibrinolysis | Higher levels associated with: ↑igher lev | (2, 4, 55, 44, 57) |
INR | Elevated levels possibly duehypercoagulability and secondary fibrinolysis | Higher levels may associated with:↑Severity (limited data) | (36) |
APTT | Unknown exact mechanism | Indeterminate association with disease severity and outcomes | (44, 5, 55) |
Fibrinogen | Elevated as an acute phase protein and may decreasedue to hypercoagulability | Higher levels may associated with:↑igher levels may ass (limited data) | (44, 43) |
Cytokines and chemokines | |||
IL-1β | Increased production/Associated with CSS/sHLH | Higher levels may be associated with: ↑Mortality Indeterminate data for severity | (58, 1, 6, 11, 10) |
IL-2/ soluble IL-2R | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity, ↑Mortality | (58, 1, 11, 6, 10) |
IL-6 | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity, ↑Mortality IL-6 levels may monitor disease progression Higher of IL-6 to IFN-γ ratio may distinguish severe from moderate cases | (5, 24, 58, 1, 11, 6, 2, 10) |
IL-7 | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity | (58, 11) |
IL-8 | Increased production/Associated with CSS/sHLH | Higher levels may be associated with:↑Severity(Indeterminate data) | (6, 10) |
IL-10 | Increased production by macrophages | Higher levels associated with: ↑Severity (also ↑Mortality, but not enough data) | (58, 1, 11, 6) |
IL-17 | Increased production/Associated with CSS/sHLH | Higher levels may be associated with:↑Severity (Not enough data) | (10) |
IP10 (CXCL10) | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity | (58, 11) |
G-CSF/GM-CSF | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity | (58, 11, 10) |
TNF-α | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity(also ↑Mortality, but not enough data) | (58, 1, 11, 6, 10) |
MCP1 (CCL2) | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity | (58, 11, 10) |
MIP-1α (CCL3) | Increased production/Associated with CSS/sHLH | Higher levels associated with: ↑Severity | (58, 11, 6, 10) |
INF-γ | Reduced production by CD4+ T cells | Lower levels may be associated with: ↑Severity Higher of IL-6 to IFN-γratio may distinguish severe from moderate cases | (24, 11, 58, 6) |
Complement | Possible activation of the alternative and lectin-based complement pathways from viral proteins | Deposits of C5b-9, C4d and MASP 2 in the microvasculature of lungs (from autopsy specimens) No differences in C3/C4 levels among survivors- non survivors | (1, 27, 59) |
Immunoglobulins (IgA, IgG, IgM) | In theory, increased production induced by activated B-cells | No differences in IgA/IgG/IgM levels among survivors- non survivors | (1) |
Soluble urokinase plasminogen activator receptor (suPAR) | Increased due to endothelial activation | High levels may be associated with: prediction of respiratory failure | ( 52 ) |
Arterial blood gases parameters | |||
pH | Respiratory alkalosis driven by hypoxemia, metabolic acidosis due organ hypoperfusion | Conflicting data on pH and associated mortality. One study found statistically higher frequency of acidosis among fatal cases | (1, 2) |
Bicarbonates | Decreased due to respiratory alkalosis and metabolic acidosis | Not enough data – possibly lower among non-survivors | (1) |
PaO2 | Decreased due to alveolar and microvasculature injury (direct and indirect) | Frequency of type I respiratory failure is significantly higher among non survivors Markedly low PaO2 (<60 mmHg) levels are seen in fatal cases | (1, 2) |
PaCO2 | Decreased due to high respiratory rate driven by hopoxia/shunt | Not enough data – possibly lower among non-survivors | (1) |
PaO2:FiO2 ratio | Decreased due to alveolar and microvasculature injury (direct and indirect) | PaO2:FiO2 ratio of ≤300 associated with ↑Mortality | (1) |
BIOMARKER | PEDIATRIC COVID-19 DATA | REFERENCES |
---|---|---|
Hematological indices | ||
Hemoglobin | Potentially similar to adults | (52, 53) |
Lymphocytes | Higher lymphocyte counts compared to adults Normal lymphocyte counts common Lymphopenia in 0–35% of children Lymphocytosis is rare | (52, 54–57) |
Total white blood cells/Neutrophils | Higher levels associated with: Symptomatic disease, Younger age (<2 y.o.) Lower neutrophil counts compared to adults Leukocytosis is more frequent Leukopenia is rare | (52, 55–57) |
Acute phase reactants | ||
Albumin | Less frequently decreased compared to adults | (57, 53) |
C-reactive protein (CRP) | Lower CRP levels compared to adults High CRP in 10%−83% of children | (52, 55, 56) |
Erythrocyte sedimentation rate | Less frequently elevated compared to adults | (57) |
Procalcitonin | Can be high in hospitalized children More frequently elevated compared to adults | (56, 57) |
Biochemistry indices | ||
Lactate dehydrogenase (LDH) | Normal LDH levels commonly Higher LDH levels compared to adults in one report | (52, 55, 57) |
Cytokines and chemokines | ||
IL-6 | Lower IL-6 levels compared to adults | (52) |
Hemoglobin and white blood cells
- Qin C.
- Zhou L.
- Hu Z.
- et al.
Common inflammatory markers – Acute phase reactants
- Gong J.
- Ou J.
- Qiu X.
- et al.
Cytokines, chemokines, pathology findings and other markers
- Lagunas-Rangel F.A.
- Chávez-Valencia V.
Cardiac biomarkers
- Li X.
- Xu S.
- Yu M.
- et al.
- Li X.
- Xu S.
- Yu M.
- et al.
- Guo T.
- Fan Y.
- Chen M.
- et al.
- Qin C.
- Zhou L.
- Hu Z.
- et al.
- Li X.
- Xu S.
- Yu M.
- et al.
- Li X.
- Xu S.
- Yu M.
- et al.
Renal function tests
Liver function tests
- Li X.
- Xu S.
- Yu M.
- et al.
Coagulation profile
- Li X.
- Xu S.
- Yu M.
- et al.
- Li X.
- Xu S.
- Yu M.
- et al.
Biochemistry markers and arterial blood gases
- Gong J.
- Ou J.
- Qiu X.
- et al.
ESICM. Important Announcement of new SSC Guidelines – COVID-19. (Accessed April 27, 2020, at https://www.esicm.org/ssc-covid19-guidelines/).
Conclusion
Declaration of Competing Interest
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Article info
Publication history
Footnotes
Harald Renz is funded by the Universities Giessen Marburg Lung Center and the German Center for Lung Disease (DZL German Lung Center, no. 82DZL00502) for UGMLC.
Chrysanthi Skevaki is funded by Universities Giessen and Marburg Lung Center and the German Center for Lung Research, University Hospital Gießen and Marburg (UKGM) research funding according to article 2, section 3 cooperation agreement, the Deutsche Forschungsgemeinschaft (DFG)–funded- SFB 1021 (C04), -KFO 309 (P10) and SK 317/1–1 (Project number 428518790).
Paraskevi C Fragkou is funded by a doctorate scholarship by the State Scholarships Foundation (IKY), Partnership Agreement (PA) 2014–2020, co-financed by Greece and the European Union (European Social Fund - ESF) through the Operational Program «Human Resources Development, Education and Lifelong Learning 2014–2020