Effect of IL‐6, IL‐8/CXCL8, IP‐10/CXCL 10 levels on the severity in COVID 19 infection

Abstract

Background

COVID 19 was first observed in December 2019 and has affected the world entire. Effective laboratory markers and prognostic indicators are needed to predict the clinical progression of the disease.

Aims

The purpose of this study was to investigate IL6, IL8/CXCL8, and IP10/CXCL10, and biochemical parameters associated with SARS, MERS, and SARS‐CoV‐2 infections and their significance on prognosis in healthy volunteers and mild‐moderate and severe COVID 19 patients.

Methods

Healthy volunteers (n = 30), and patients with mild‐moderate (n = 30) and severe (n = 30) COVID‐19 patients were included in the study. IL‐6, IL‐8, and IP‐10 levels and biochemical parameters were assessed among the groups and their correlations with each other were subjected to statistical analysis.

Results

Blood serum IL‐6, IL‐8, and IP‐10 levels were the highest in the severe patient group (P = .001), and also higher in the mild‐moderate group as compared with the healthy volunteers (P = .001). Statistically significant positive correlations were identified between serum IL‐8 and IL‐6 levels (P = .001, r = 0.660), between serum IP‐10 and IL‐6 (P = .001, r = 0.599) and between serum IP‐10 and IL‐8 (P = .001, r = 0.729).

Conclusions

A statistically significant difference was found in WBC, NE%, NE, LY%, LY, HB, BUN, total protein, albumin, d‐dimer, sedimentation differed significantly between the groups. Biomarkers of potential significance in terms of the severity of COVID 19 disease were examined, and high IL‐6, IL‐8, IP‐10, CRP, PCT, and LY parameters values emerged as associated with the severity of the disease.

What’s known

• Inflammatory parameters are elevated in COVID 19 disease.

• The severity of the disease should be determined before the cytokine storm begins.

What’s new

• In this article, IL‐6, IL‐8/CXCL8, IP‐10/CXCL 10 are recommended as early prognostic inflammatory parameters to determine the severity of COVID 19 Disease.

1. INTRODUCTION

The viral pandemic, named as COVID‐19 (SARS‐CoV‐2), has affected the entire world in a short time after the first pneumonia patients with unknown aetiology were reported in December 2019 in Wuhan in the Chinese province of Hubei. ¹ , ² SARS‐CoV‐2 infection is associated with fever, cough, sore throat, shortness of breath, headache, muscle aches, loss of taste and smell, and diarrhoea. The clinical manifestation ranges from asymptomatic infection, to mild upper respiratory system infection, moderate lung infection with radiological abnormalities, severe viral pneumonia with respiratory failure and increased fatal patients. The epidemiological and clinical properties of COVID‐19 patients have been reported by health authorities, although the pathogenesis of SARS‐CoV‐2 infection is not defined clearly. ³

Researchers have identified some common characteristics in critically ill COVID 19 patients. These include: sudden worsening at 7‐14 days after the onset of the disease, low levels of lymphocytes (LYs) in the blood, increased C reactive protein (CRP) and pro‐inflammatory cytokines (IL‐1β, IL‐2, IL‐4, IL‐5, IL‐6, IL‐7, IL‐8, IL‐9, IL‐10, IL‐12p70, IL‐13, IL‐15, and IL‐17A) and extremely high inflammatory parameters, hypercoagulation and multiple organ damage. ⁴ Clinical reports showed that pneumonia is the most common complication following SARS‐CoV‐2 infection with rapid virus replication, resulting in multiple inflammatory cell infiltration and cytokine storm, acute lung injury followed by acute respiratory distress syndrome (ARDS). ⁴ , ⁵

The stimulation of the host’s innate and adaptive immunity including activation of T cells, CD4 and CD8+T cells production of several proinflammatory cytokines are required to control viral replication after viral infections, to limit the spread of the virus and to kill infected cells. However, tissue damage because of the virus may induce the exaggerated production of proinflammatory cytokines, macrophages, granulocytes and other immune cells. ⁶ Several clinical studies have proposed blocking cytokine production or lowering their blood levels as possible solutions. ⁷ , ⁸ , ⁹ However, the pandemic period continues, and for possible treatments, more randomised controlled studies are required to understand the pathogenesis of the infection.

Researchers in different centres worldwide have compared patients clinical characteristics by means of molecular, biochemical and radiological assays to determine the course of the disease progression. ¹⁰ , ¹¹ However, these investigations were performed on a limited number of patients, and the published data are different from each other. Since IL‐6, IL‐8 (CXCL 8), and IP‐10 (CXCL 10) from the cytokine and chemokine family are known to be significant in SARS and MERS, their significance in SARS‐CoV‐2 (COVID‐19) infection is still the subject of investigation. ¹² , ¹³

This study, we investigated the role of the relationship between IL‐6, IL‐8, and IP‐10 levels, routine biochemical parameters (white blood cell (WBC), neutrophil (NE), LY, haemoglobin (HB), platelets (PLT), BUN, total protein, albumin, d‐dimer, sedimentation, creatinine, aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), creatine kinase (CK), troponin, C‐reactive protein, ferritin, and procalcitonin (PCT)) and IL‐6, IL‐8, IP‐10 levels in the prognosis of COVID‐19 in healthy individuals, mild‐moderate and in severe COVID‐19 patients.

2. METHODS

2.1. Identification of groups and treatment

The control groups (n = 30) consisted of healthy volunteers who had not been diagnosed with COVID‐19 and with no symptoms or known disease. The mild‐moderate group (n = 30) consisted of patients diagnosed with COVID‐19, with positive RT‐PCR test results, and hospitalised for treatment in the Atatürk University Research Hospital COVID department. Patients with a respiratory rate of <30/min, SpO₂ level >90% in room air, and signs of mild‐moderate pneumonia (<50% involvement) by chest radiography or tomography were classified as a mild‐moderate clinical condition. The severe group (n = 30) consisted of patients diagnosed with COVID‐19, with positive RT‐PCR test results, and hospitalised for treatment in the Atatürk University Research Hospital COVID department. Patients with a respiratory rate of ≥30/min, SpO₂ level ≤90% in room air, and signs of bilateral diffuse pneumonia (>50% involvement) by chest radiography or tomography were classified as a severe clinical condition. The study included healthy volunteers and patients over 18 years of age.

The protocol in the COVID‐19 Treatment Guide prepared by the Ministry of Health of the Republic of Turkey has been applied to COVID‐19 patients treated in the clinic (for mild‐moderate and severe patients; Favipiravir, Steroid, Low‐molecular‐weight Heparin etc).

2.2. Sampling of blood samples

All patients in the study were informed about the study, and their written and verbal consents were obtained. Blood samples were taken from mild‐moderate and severe patients with positive COVID‐19 RT‐PCR test on the first day. The sitting position after blood from the antecubital area was taken into biochemistry tubes by experienced people using a vacutainer. The samples were centrifuged after coagulation at room temperature for 30 minutes, and serum samples were separated. They were frozen and stored at −80°C until analysis. After the serum samples were dissolved under optimal conditions for analysis, all analyzes were performed in a single session at the Medical Biochemistry Laboratory of the Atatürk University Health Research and Practice Center.

2.3. Biochemistry analysis

IL‐6 levels in serum samples are analysed by commercially purchased Bioassay Technology Laboratory brand (Cat No: E0090Hu), IL‐8 levels by Bioassay Technology Laboratory brand (Cat No: E0089Hu), IP‐10 levels by Bioassay Technology Laboratory brand (Cat No: E0412Hu) (1008 Junjiang Intel. Bldg) using ELISA kits by ELISA method on a Dynex brand automatic ELISA reader device (Dynex Technologies Headquarters) in line with the standard protocol suggested by the manufacturer. Intra and inter‐assay CVs of the kits were <10%. Routine laboratory assays of the patients include whole blood count (WBC, NE, NE%, LY, LY%, HB, PLT), Bun, Total protein, Albumin, d‐dimer, Sedimentation, Creatinine, AST, ALT, LDH, CK, Troponin, CRP, Ferritin, PCT parameters. The results of routine assays were taken from the hospital database.

In addition, neutrophil‐lymphocyte ratio (NLR) and Prognostic Nutritional Index (PNI) were calculated for all groups. While calculating NLR, the NE/LY method was used. For PNI calculation; the formula of ×10 serum albumin +0.005× peripheral lymphocyte count was used.

2.4. Statistical analysis

The suitability of the parameters to the normal distribution was evaluated by Kolmogrov‐Smirnov test. t test (independent‐test, Student’s t test) were used for Independent samples to compare parameters showing normal distribution in both patient groups and Mann Whitney U test was used for parameters not showing normal distribution. ANOVA test was used to compare the values of healthy and both patient groups. Correlation between parameters was evaluated by Pearson and Pearson correlation analysis. Results were given as mean ± standard deviation (mean ± SD) and minimum‐maximum (min‐max). P < .05 was used for significant differences between the groups. Statistical analysis was performed by SPSS 20.0 (SPSS) program.

3. RESULTS

The study consisted of 90 people: 45 females and 45 males. The healthy volunteer group consists of 16 women and 14 men, their mean age was 43 (because of COVID 19 precautions, a sufficient number of healthy volunteers with the required qualifications could not be reached. For this reason, the average age of the healthy volunteer group is lower). The mild‐moderate COVID‐19 patient group consists of 12 women and 18 men; their mean age was 48. Severe COVID‐19 patient group consists of 17 women and 13 men, and their mean age was 57. Thirteen of 30 severe patients who were treated in the COVID department were referred to the intensive care clinic. Nine of these 13 patients died; 51 of 60 patients included in the study were discharged after their treatment was completed.

IL‐6, IL‐8, and IP‐10 blood serum levels were evaluated in all groups: highest in the severe group and the lowest in healthy volunteers. Mean ± SD. Deviation and P values are presented in Table 1. Also, there was no statistically significant difference in IL‐6, IL‐8, IP‐10 levels among 9 ex and 21 discharged patients in the severe patient group.

TABLE 1.

IL‐6, IL‐8, and IP 10 blood serum levels of the groups

ELISA	Healthy volunteers	Mild‐moderate	Severe patients	P
	(n = 30)	(n = 30)	(n = 30)
	Mean ± SD	Mean ± SD	Mean ± SD
IP‐10 (pg/mL)	62.24 ± 24.80	246.74 ± 43.39	668.93 ± 224.74	.001
IL‐8 (ng/L)	22.54 ± 6.49	76.79 ± 25.78	140.40 ± 65.03	.001
IL‐6 (ng/L)	15.55 ± 4.09	111.13 ± 30.34	166.48 ± 83.11	.001

Statistically significant P values are shown in bold.

Abbreviations: n, number; SD, standard deviation.

We found a statistically significant positive correlation between serum IL‐8 and IL‐6 levels (P = .001, r = 0.660; Table 2 and Figure 1). A statistically significant positive correlation was found between serum IP‐10 and IL‐6 (P = .001, r = 0.599; Table 2 and Figure 2). A statistically significant positive correlation was found between serum IP‐10 and IL‐8 (P = .001, r = 0.729; Table 2 and Figure 2).

TABLE 2.

Correlation between serum IL 8‐IL 6, IP 10‐IL 6, and IP 10‐IL 8 in all groups

	P	r
IL‐8 (pg/mL)/IL6 (ng/L)	.001	0.660
IP‐10 (pg/mL)/IL6 (ng/L)	.001	0.599
IP‐10 (pg/mL)/IL‐8 (ng/L)	.001	0.729

Statistically significant P and r values.

FIGURE 1.

Correlation between IL‐8 and IL‐6 blood serum levels in all groups

FIGURE 2.

Correlation between IP‐10 and IL‐6 blood serum levels in all groups

Routine blood parameters were evaluated by IP‐10. A statistically significant positive correlation was found between IP‐10 (pg/mL)/CRP (P = .000, r = 0.711), IP‐10 (pg/mL)/Ferritin (P = .000, r = 0.550), IP‐10 (pg/mL)/PCT. A statistically negative significant correlation was found between IP‐10 (pg/mL)/LY (P = .004, r = −0.362). No significant relationship was found between IP‐10 (pg/mL)/d‐dimer (P = .208, r = 0.165; Table 3).

TABLE 3.

Correlation of IL‐6, IL‐8, and IP‐10 with routine blood parameters in all groups

Parameter	P	r
IP‐10 (pg/mL)/LY	.004	−0.362
IP‐10 (pg/mL)/d‐dimer	.208	0.165
IP‐10 (pg/mL)/CRP	.000	0.711
IP‐10 (pg/mL)/Ferritin	.000	0.550
IP‐10 (pg/mL)‐PCT	.000	0.597
IL‐8 (pg/mL)/LY	.012	−0.322
IL‐8 (pg/mL)/d‐dimer	.017	0.307
IL‐8 (pg/mL)/CRP	.000	0.468
IL‐8 (pg/mL)/Ferritin	.002	0.387
IL‐8 (pg/mL) PCT	.000	0.518
IL‐6 (pg/mL)/LY	.006	0.352
IL‐6 (pg/mL)/d‐dimer	.203	0.167
IL‐6 (pg/mL)/CRP	.040	0.265
IL‐6 (pg/mL)/Ferritin	.285	0.140
IL‐6 (pg/mL)/PCT	.019	0.303

Abbreviations: CRP, C‐reactive protein; LY, lymphocyte; PCT, procalcitonin.

Routine blood parameters were evaluated by IL‐8. A statistically positive significant correlation was found between IL‐8 (pg/mL)/CRP (P = .000, r = 0.468), IL‐8 (pg/mL)/Ferritine (P = .002, r = 0.387), IL‐8 (pg/mL)/PCT (P = .000, r = 0.518), IL‐8 (pg/mL)/d‐dimer (P = .017, r = 0.307). A negative significant correlation was found between IL‐8 (pg/mL)/LY (P = .012, r = −0.322; Table 3).

Routine blood parameters were evaluated by IL‐6. A statistically positive significant correlation was found between IL‐6 (pg/mL)/CRP (P = .040, r = 0.265), IL‐6 (pg/mL)/PCT (P = .019, r = 0.303). A significant negative correlation was found between IL‐6 (pg/mL)/LY (P = .006, r = −0.352). No significant relationship was found between IL‐6 (pg/mL)/Ferritin (P = .285, r = 0.140) and IL‐6 (pg/mL)/d‐dimer (P = .203 r = 0.167; Table 3).

Routine blood parameters followed up in the mild‐moderate and severe COVID 19 patient groups were compared. A statistically significant difference was found in WBC, NE%, NE, LY%, LY, HB, BUN, Total protein, Albumin, d‐dimer, Sedimentation values between the groups. PLT (P = .094) the value was not statistically significant. LY%, LY, HB, albumin, and total protein values were significantly lower in severe patient groups. NLR rate was higher in the severe patient group. PNI was lower in the severe patient group (Table 4).

TABLE 4.

Normally distributed laboratory findings between mild‐moderate and severe patient groups

Parameter	Mild‐moderate	Severe patients	P
	(n = 30)	(n = 30)
	Mean ± SD	Mean ± SD
WBC (×109/L)	5909 ± 1910	9205 ± 7678	0.026
NE, %	60.19 ± 14.87	75.42 ± 14.57	0.001
NE (×109/L)	3659.35 ± 1865.73	7119 ± 5882.08	0.003
LY, %	26.66 ± 12.65	14.01 ± 10.53	0.001
LY (×109/L)	1470 ± 67.9	941 ± 487.01	0.001
NLR	3.16 ± 2.46	9.33 ± 7.64	0.001
HB	14.46 ± 1.86	12.18 ± 2.06	0.001
PLT (×109/L)	229 466 ± 66 435	190 733 ± 105 398	0.094
BUN	12.64 ± 3.46	26.22 ± 20.85	0.001
Total protein	6.80 ± 0.69	5.7 ± 0.97	0.001
Albumin	3.55 ± 0.40	2.67 ± 0.68	0.001
d‐Dimer	559.96 ± 213.1	8092.66 ± 18 487.28	0.030
Sedimentation	22.43 ± 16.89	63.9 ± 23.78	0.001
PNI	42.92 ± 5.89	32.13 ± 6.38	0.001

Abbreviations: HB, hemoglobin; LY, lymphocyte; NE, neutrophil; PLT, platelets; WBC, white blood cell.

When mild‐moderate and severe patient groups were compared by routine parameters in the not normally distributed group, LDH, CK, Troponin, ferritin, CRP, PCT parameters were higher in the severe patient group and statistically significant (P < 0,005). No significant relationship was found between groups in creatin, AST, ALT parameters (P > 0,005; Table 5).

TABLE 5.

Not normally distributed laboratory findings among mild‐moderate and severe patient groups

Parameter	Mild‐moderate	Severe patients	P	Z
	(n = 30)	(n = 30)
	Min‐max	Min‐max
Creatinine (μmol/L)	0.45‐1.41	0.30‐4.7	0.086	−1.715
AST (U/L)	15‐217	13‐800	0.060	−1.878
ALT (U/L)	9‐181	15‐160	0.188	−1.317
LDH	190‐1180	5416‐234	0.001	−3.918
CK	25‐224	4845‐14	0.016	−2.403
Troponin	0.00‐2137	2414‐1.30	0.001	−3.571
Ferritin (μg/L)	6.2‐1100	21‐7500	0.001	−4.790
CRP (mg/L)	3‐120	20.3‐433	0.001	−5.947
PCT	0.01‐0.34	0.02‐18	0.001	−5.148

Statistically significant P and Z values are shown in bold.

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CK, creatine kinase; CRP, C‐reactive protein; LDH, lactate dehydrogenase; PCT, procalcitonin.

4. DISCUSSION

Cytokines are studied as an important marker in the prognosis of COVID 19 infection, and the effects of cytokines vary depending on the targeted cell. Different cytokines may have similar effects or exhibit synergistic effects. ¹⁴ Its role is the regulation of immune response, autoimmune mechanisms and acute phase responses. ¹⁵ In the studies on SARS‐CoV‐2 infection, almost all researchers reported that IL‐6 is associated with cytokine storm, ARDS and poor prognosis with mortality. ¹⁶ , ¹⁷ , ¹⁸

Studies have reported high IL‐8 levels are high in SARS‐CoV and SARS‐CoV‐2 infections, especially in the lungs of patients with ARDS. ¹⁴ While several literature studies have reported that IL‐8 levels are not associated with ARDS, many other studies have shown that in severe cases, SARS‐CoV‐2 infection activates both the innate and adaptive immune system in the alveolar tissue, inducing cytokine release and then cytokine release syndrome, suggesting high levels of proinflammatory cytokines (IL‐1, IL‐6, IL‐8, TNF‐a and IFN) as an important cause of mortality. ¹⁹ , ²⁰

One of the hallmarks of SARS‐CoV and SARS‐CoV2 infections is an increase in of IL‐6, IL‐8, IP‐10 levels with systemic inflammation and cytokine storm. ¹⁰ , ²¹ In their study of a specific COVID‐19 hallmark associated with poor prognosis, Laing et al, reported increased IL‐6, IL‐8 and IP‐10 levels in both COVID‐19 patients and non‐COVID‐19 patients with lower respiratory infections, and that the, increase in IL‐8 and IP‐10 is associated with the disease severity. They also reported a persistent increase in IP‐10, a chemokine‐induced rapidly and temporarily during viral infections, in COVID‐19 and that this is associated with severity. ⁶ Valle et al also studied the effects of IL‐1β, TNFα, IL‐6, and IL‐8 on the poor prognosis of COVID‐19 and reported that TNF‐α and IL‐6 has significant prognostic value. ¹⁶ In their research published in the first months of COVID19 infection, Huang et al, investigated plasma cytokine and chemokine (IL‐1β, IL‐1RA, IL‐2, IL‐4, IL‐5, IL‐6, IL‐7, IL‐8, IL‐9, IL‐10, IL‐12p70, IL‐13, IL‐15, IL‐17A, eotaxin (CCL 11), FGF2, GCSF, GMCSF, IFN γ, IP‐10, MCP‐1, MIP‐1A, MIP‐1B, PDGFB, RANTES (CCL 5), TNF‐α, and VEGFA) levels in the patients and reported that IL‐1β, IFN‐y, IP‐10, and MCP‐1 levels elevation in the patients infected with SARS‐CoV2. ¹⁷

In this study, IL‐6, IL‐8, and IP‐10 serum levels were higher in the mild‐moderate and severe groups compared with the healthy volunteers. Parameter levels were also higher in the severe patient group as compared with the mild‐moderate group. These results are in line with most of the literature studies. Besides, IL‐6/IL‐8; IP‐10/IL‐6; IP‐10/IL‐8 levels were compared between the study groups, and a positive correlation was observed. This correlation was considered to be associated with poor prognosis (Figures 1, 2, 3). When the effect on survival was examined, there was no statistically significant difference in IL‐6, IL‐8, IP‐10 levels among 9 ex and 21 discharged patients in the severe patient group. It was thought that this situation might be related to the small number of groups compared and the advanced age of the patients who died.

FIGURE 3.

Correlation between IP‐10 and IL‐8 blood serum levels in all groups

In the studies, which were performed to determine the prognosis of COVID 19, the evaluation of routine biochemical parameters varies. Several researchers reported that CRP, ferritin, d‐dimer, LDH, PCT levels may be useful to predict COVID 19 prognosis, ²² however, other several researchers reported that the parameters vary related to additional diseases, treatment and sepsis, independently of COVID 19. ²³ The findings of the present study showed that the laboratory parameters including WBC, Ne, Ne%, NLR, CRP, ferritin, d‐dimer, sedimentation, PCT, Troponin, LDH, CK, and BUN values increased in the severe patient group, this increased statistically significant in the severe patient group (P < .005). Besides LY, LY%, HB, total protein, albumin, PNI values decreased significantly in the severe patient group (P < .005). The platelet ratio decreased; however, it was not statistically significant. Sex was similar in all groups in our study, a statistically significant difference was not observed.

It was observed that all SARS, MERS, and SARS‐CoV‐2 infections cause lymphocyte depletion in the infected patients, and it was reported that this condition may be caused by the direct attack of coronavirus on lymphocytes or immune‐mediated apoptosis of lymphocytes. ²⁴ It was reported that the number of leukocytes decreases in the early stage of the disease, however increases in the later stage. The inflammatory response may stimulate neutrophile production and may accelerate apoptosis of lymphocytes. Considering the increased neutrophils and decreased lymphocyte count, NLR was calculated as an inflammation marker. Our study showed that NLR was high in the severe patient group. The other studies showed that the higher levels of inflammatory cytokines, chemokine, and NLR in the SARS‐CoV‐2 patients may be associated with the disease severity as compared with the non‐severe patients. ²⁵

CRP is an acute‐phase protein induced by IL‐6 in the liver. Most of the literature studies report that CRP values increase with the disease severity. ²³ , ²⁶ Also, in our study, CRP was significantly higher in the severe patient group. Liu et al reported that high CRP, ferritin, IL‐6, and LDH are associated with the requirement of prolonged treatment period, broader antibiotic treatments, and intensive care support. PCT is the precursor of calcitonin, its serum levels are generally low. PCT levels increase with bacterial infections and relatively low in viral infections. Thus, it may be used to differentiate bacterial and viral infections. Because of decreased immune function in COVID 19 infections, the probability of bacterial secondary infection is higher, this finding explains the increased level of Ne, CRP and PCT in our study. ¹⁸

The Asian and European studies reported that LDH and Ferritin levels were high in the patients with severe disease resulting in death while being treated in the intensive care units. ¹⁷ , ²⁷ Abnormal levels of LDH and Ferritin may be associated with infections, cytokine‐induced tissue damage, multi‐organ damage, decreased oxygenation. Cytokine storm in the severe patient groups is considered as an important biomarker in the progression to ARDS and multi‐organ damage. ²⁸ In line with the literature, we found that LDH and ferritin are high in the severe patient group. We observed that albumin and lymphocyte levels and calculated PNI value were lower in the severe patient group. PNI, a common marker of nutrition and inflammatory condition is prognostically important for malignancies, chronic diseases, viral and bacterial infections, cardiovascular diseases. ²³

Increased d‐dimer indicates the hypercoagulation condition in COVID 19 patients. Increased pro‐inflammatory response and endothelial cell dysfunction cause hyper thrombin formation. In line with the literature, our study showed that D‐dimer level was higher in the severe patient group as compared with the mild‐moderate group. ²⁹

When the correlation of IP‐10, IL‐6, and IL‐8 with laboratory parameters are evaluated, PCT and CRP were significant with positive correlation in all groups, but LY was significant with negative correlation. Independently, ferritin and d‐dimer were high in the severe patient group; however, the correlation of ferritin with IL‐6 was not statistically significant. However, d‐dimer was not correlated with IL‐6 and IP‐10. COVID 19 may also increase d‐dimer because of increased pro‐inflammatory response as well as stimulate thrombosis by increased blood viscosity because of hypoxia and induced signal pathways. COVID 19 patients may have risk factors for clotting including lung organ dysfunction, underlying conditions, prolonged bed resting, invasive treatments. ²⁹ Given that IL‐6 and IP‐10 are not correlated with d‐dimer, we suggested that they might be associated with these conditions.

This study evaluated some inflammatory and biochemical markers affecting the course of the COVID19 disease. IL‐6, IL‐8, and IP‐10 were suggested as the parameters affecting the course of the COVID19 disease. Because these parameters have increased in mild‐moderate and severe COVID 19 patients in a correlated way as compared with healthy volunteers. PCT shows a positive correlation with CRP, IL‐6, IL‐8 and IP‐10, while LY count is significant with a negative correlation. These inflammatory markers were found to be prognostically significant. Unlike many literature studies, D‐dimer was not correlated with IL‐6 and IP‐10. A difference with positive significant correlation was observed between IL‐8 and K‐dimer. More evidence should be obtained from wider patient groups at different centres to accept IL‐8 and D‐dimer as risk factors.

CONFLICTS OF INTEREST

Fatma Kesmez Can, Zülal Özkurt, Nurinnisa Öztürk and Selma Sezen declare that they have no conflict of interest.

AUTHORS’ CONTRIBUTIONS

Fatma Kesmez Can; Planning the study, collecting blood samples, patient follow‐up, statistical analysis and article writing. Zülal Özkurt: Planning the study, patient follow‐up and article writing. Nurinnisa Öztürk; Planning the study, biochemical analysis, statistical analysis and article writing. Selma Sezen; Planning the study, statistical analysis and article writing.

ETHICS APPROVAL

This study was designed and then presented to the Republic of Turkey Ministry of Health Covid‐19 Scientific Research Assessment Commission and the Atatürk University Faculty of Medicine, Clinical Research Ethics Committee and approved by the commission (NO: B.30.2.ATA.0.01/275).

Kesmez Can F, Özkurt Z, Öztürk N, Sezen S. Effect of IL‐6, IL‐8/CXCL8, IP‐10/CXCL 10 levels on the severity in COVID 19 infection. Int J Clin Pract. 2021;75:e14970. doi: 10.1111/ijcp.14970