Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access |
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc |
Journal website https://www.jocmr.org |
Review
Volume 13, Number 4, April 2021, pages 195-203
Do Certain Biomarkers Predict Adverse Outcomes in Coronavirus Disease 2019?
Table
Biomarker | Outcome | Strength of association | References |
---|---|---|---|
COVID-19: coronavirus disease 2019; OR: odds ratio; CI: confidence interval; PLR: platelet-lymphocyte ratio; hs-cTnI: high-sensitivity cardiac troponin I; NT-proBNP: N-terminal pro-brain natriuretic peptide; CK-MB: creatine kinase-myocardial band; ICU: intensive care unit; LDH: lactate dehydrogenase; ROC: receiving operator characteristics; CRP: C-reactive protein; PPV: positive prediction value; NPV: negative prediction value; ESR: erythrocyte sedimentation rate; IL-6: interleukin-6; GFR: glomerular filtration rate; AST: aspartate aminotransferase; ALT: alanine aminotransferase; GGT: gamma-glutamyl transferase; INR: international normalized ratio. | |||
Hematological/coagulation markers | |||
Platelet count | Thrombocytopenia (defined as a platelet count of < 150,000/mm3) was associated with over five-fold enhanced risk of severe COVID-19. | OR: 5.1; 95% CI: 1.8 - 14.6 | Lippe et al [11] |
Lymphocyte count | Lymphocytopenia (defined as a lymphocyte count of < 1,500/mm3) was associated with poor outcomes. | Mean difference: -361.06 µL (-439.18, -282.95), P < 0.001 | Huang et al [12] |
ΔPLR (the difference between PLR at admission and the highest PLR during hospitalization) | The average ΔPLR in severe cases was 466.24 ± 471.86, while in non-severe cases was 19.61 ± 130.40. | At a cut-off value of > 126.7, ΔPLR had a sensitivity of 100%, and the specificity is 81.5% (P = 0.014). | Qu et al [15] |
Serum ferritin | Elevated in severe cases and non-survivors | Univariable OR: 9.10; CI: 2.04 - 40.58; P = 0.0038 | Zhou et al [10] |
D-dimer | D-dimer level > 1.0 µg/mL at admission was associated with higher in-hospital mortality. | OR: 18.42; CI: 2.64 - 128.55; P = 0.0033 | Zhou et al [10] |
Cardiac biomarkers | |||
hs-cTnI, NT-proBNP, CK-MB | Hs-cTnI level > 28 pg/dL was associated with ICU admission, severe disease, more frequent complications, increased in-hospital mortality. Elevated hs-cTnI levels were associated with elevated NT-proBNP and CK-MB levels. NT-proBNP concentrations of 800 pg/mL were seen in those who died compared to 72 pg/mL in those who recovered. | Univariable OR for in-hospital mortality: 80.07; 95% CI: 10.34 - 620.36; P < 0.0001 Standardized mean difference (between severe and mild cases): 25.6 ng/L; 95% CI: 6.8 - 44.5 ng/L | Zhou et al [10] Huang et al [16] Lippi et al [17] Wang et al [18] Guo et al [19] Shi et al [20] Chen et al [21] |
Inflammatory indices | |||
Serum LDH | Accurately predicts disease severity when serum levels above 344.5 U/L. | Sensitivity of 96.9% and a specificity of 68.8% on the area under ROC curve | Han et al [13] |
CRP | Elevated CRP levels could reflect larger lung lesions and severe disease in early cases of COVID-19 infection | CRP levels had strong positive correlation with the diameter of lung lesions (correlation coefficient = 0.873, 0.734, P < 0.001) A CRP value of 20.42 mg/L has a sensitivity, specificity, PPV and NPV of 83%, 91%, 71% and 95%, respectively, for severe COVID-19 | Wang [25] Tan et al [14] |
ESR | Elevated ESR levels were associated with greater disease severity. | An ESR value of 19.50 mm/h has sensitivity, specificity, PPV and NPV of 83%, 81%, 56% and 94%, respectively for severe COVID-19. | Tan et al [14] |
IL-6 | Elevations strongly associated with mortality and the need for mechanical ventilation | IL-6 levels of ≥ 80 pg/mL had a 22-fold higher risk of respiratory failure compared to patients with lower IL-6 levels. | Ulhaq et al [26] Coomes et al [27] Herold et al [28] |
Procalcitonin | Elevated levels are seen in severe infection. | Procalcitonin levels > 0.5 µg/L corresponded with an almost five times higher risk of severe infection (OR: 4.76; 95% CI: 2.74 - 8.29). | Lippi et al [29] |
Renal function indices | |||
GFR | Patients with kidney dysfunction had higher rates of sepsis, respiratory failure and in-hospital mortality. | P < 0.001 | Cheng et al [22] Xiang et al [23] Uribarri et al [24] |
Liver function indices | |||
AST, ALT, total bilirubin, GGT, LDH and INR | Patients with severe disease had significantly elevated levels of these biomarkers compared to patients with mild disease. | Logistic regression analysis did not show an independent association between the above biomarkers and severe COVID-19. | Zhang et al [30] |
Serum albumin | Hypoalbuminemia was an independent predictor for mortality. | OR: 6.394; 95% CI: 1.315 - 31.092 | Huang et al [31] |