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The Prognostic Utility of Cytokines in Hospitalized COVID-19 Patients

Open Access
|Nov 2023

Figures & Tables

Fig. 1.

Receiver Operating Characteristic curve (ROC) analysis for IL-6 and IL-10 regarding the ICU transfer
Receiver Operating Characteristic curve (ROC) analysis for IL-6 and IL-10 regarding the ICU transfer

Fig. 2.

Receiver Operating Characteristic curve (ROC) analysis for IL-6 and IL-10 regarding the outcome prediction
Receiver Operating Characteristic curve (ROC) analysis for IL-6 and IL-10 regarding the outcome prediction

Serum cytokine levels in patients with COVID-19 according to the need for ICU transfer

ICU transfer (n = 35)No ICU transfer (n = 146)p value
IFN-γ (pg/ml)0.78 (0.64–2.98)0.64 (0.64–1.84)0.403
IL-6 (pg/ml)29.08 (4.69–189.1)0.64 (0.64–7.7)<0.0001
IL-8 (pg/ml)11.99 (2.41–37.81)1.15 (0.64–5.54)<0.0001
IL-10 (pg/ml)30.45 (13.16–70.25)6.29 (1.16–23.78)<0.0001
IL-12 (pg/ml)0.64 (0.55–1.48)0.64 (0.61–1.21)0.591
TNF-α (pg/ml)21.72 (15.47–33.69)19.73 (11.78–30.77)0.147

Results of the logistic regression analysis regarding the outcome

VariableOutcome
Odds Ratio95% CIp value
IFN-γ0.85940.7494 to 0.98560.0302
IL-101.01221.0026 to 1.02190.0126
IL-121.05130.9849 to 1.12230.1330
IL-61.00461.0008 to 1.00930.0399
IL-81.04301.0175 to 1.06930.0009
TNF-α1.00540.9626 to 1.05010.8085

Clinical and demographic characteristics of the cohort, grouped by disease severity

ParameterNon-severe (n = 94)Severe (n = 87)p value
Female sex44350.229
Male sex5052
Age (median)64 (21–86)64 (24–90)0.575
Length of stay (days)12 (1–32)14 (4–36)<0.001
Hypoxemia requiring oxygen therapy49 (52.12%)85 (97.7%)<0.001

Comorbidities
Arterial hypertension56 (59.57%)54 (62%)0.424
Cardiovascular diseases22 (23.4%)18 (20.68%)0.398
Insulin-dependent diabetes6 (6.38%)15 (17.24%)0.230
Non-insulin-dependent diabetes14 (14.89%)11 (12.64%)0.413
COPD3 (3.19%)2 (2.29%)0.537
Asthma4 (4.25%)4 (4.59%)0.596
Hyperlipidemia30 (31.91%)25 (28.73%)0.381
Obesity25 (26.59%)38 (43.67%)0.012
Chronic renal disease3 (3.19%)8 (9.19%)0.083
ICU transfer8 (8.51%)27 (31.03%)<0.001

Outcome
Discharged87 (92.55%)70 (80.45%)0.014
Died7 (7.44%)17 (19.54%)

Results of the logistic regression analysis regarding ICU transfer

VariableICU transfer
Odds Ratio95% CIp value
IFN-γ0.92120.8257 to 1.02780.1419
IL-101.01141.0018 to 1.02100.0196
IL-120.99770.9287 to 1.07190.9503
IL-61.00801.0006 to 1.01640.0409
IL-81.03531.0121 to 1.05900.0026
TNF-α0.98710.9508 to 1.02480.4959

Results of the logistic regression analysis regarding the disease severity

VariableDisease severity
Odds Ratio95% CIp value
IFN-γ0.95050.8830 to 1.02320.1769
IL-101.00700.9980 to 1.01610.1297
IL-121.03950.9661 to 1.11840.2995
IL-60.99940.9974 to 1.00150.5799
IL-81.03641.0008 to 1.07430.0414
TNF-α1.00720.9797 to 1.03550.6103

Cut-off values and ROC analysis for biomarkers with statistical significance in predicting outcome in COVID-19 patients

ParameterCut-off valueAUC (95% CI)p valueSensitivity (%)Specificity (%)
IL-620.14pg/ml0.853 (0.793–0.901)<0.000175.0087.26
IL-1018.00pg/ml0.831 (0.768–0.882)<0.000191.6770.70

Serum cytokine levels in survivors vs_ non-survivors

Survivor (n = 157)Non-survivor (n = 24)p value
IFN-γ (pg/ml)0.64 (0.64–1.87)0.94 (0.57–2.97)0.662
IL-6 (pg/ml)0.64 (0.64–7.85)38.56 (15.24–714.3)<0.0001
IL-8 (pg/ml)1.1 (0.64–5.41)18.89 (7.49–54.89)<0.0001
IL-10 (pg/ml)6.76 (0.64–23.82)42.45 (27.19–80.85)<0.0001
IL-12 (pg/ml)0.64 (0.59–1)0.93 (0.57–2.54)0.054
TNF-α (pg/ml)18.98 (12.29–29.47)25.8 (18.65–35.97)0.013
DOI: https://doi.org/10.2478/jccm-2023-0025 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 208 - 217
Submitted on: Jul 8, 2023
Accepted on: Sep 14, 2023
Published on: Nov 14, 2023
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2023 Ákos Vince Andrejkovits, Adina Huțanu, Ervin József Susányi, Valentina Negrea, Anca Meda Văsieșiu, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.