Are Serum Interleukin 6 and Surfactant Protein D Levels Associated with the Clinical Course of COVID-19?

PURPOSE: SARS-CoV-2 (COVID-19) has infected more than 7 million people worldwide in the short time since it emerged in Wuhan, China in December 2019. The aim of this study was to investigate the relationship between serum interleukin 6 (IL-6) and surfactant protein D (SP-D) levels and the clinical course and prognosis of COVID-19.
MATERIALS AND METHODS: The study included a total of 108 individuals: 88 patients who were diagnosed with COVID-19 by real-time PCR of nasopharyngeal swab samples and admitted to the Atatürk University Pulmonary Diseases and the Erzurum City Hospital Infectious Diseases department between March 24 and April 15, and 20 asymptomatic healthcare workers who had negative real-time PCR results during routine COVID-19 screening in our hospital.
RESULTS: Patients who developed macrophage activation syndrome had significantly higher IL-6 and SP-D levels at the time of admission and on day 5 of treatment compared to the other patients (IL-6: p = 0.001 for both; SP-D: p = 0.02, p = 0.04). Patients who developed acute respiratory distress syndrome had significantly higher IL-6 and SP-D levels at both time points compared to those who did not (p = 0.001 for all). Both parameters at the time of admission were also significantly higher among nonsurvivors compared to survivors (IL-6: p = 0.001, SP-D: p = 0.03).
CONCLUSION: In addition to IL-6, which has an important role in predicting course and planning treatment in COVID-19, SP-D may be a novel pneumoprotein that can be used in the clinical course, follow-up, and possibly in future treatments.

Introduction

Coronavirus disease 2019 (COVID-19) emerged in Wuhan, China in December 2019 and rapidly spread across the globe. In June 2020, the number of confirmed cases passed 7 million and continues to increase. Most infected patients are asymptomatic or have mild symptoms such as sore throat, loss of taste and smell, malaise, and joint pain. However, older adults (> 50 years old), people with certain comorbidities (diabetes, hypertension), and those with impaired immunity (HIV infection, immunosuppressive therapy, pregnancy) are susceptible to more severe manifestations of COVID-19 [1].

The most common of these are acute respiratory distress syndrome (ARDS) with hypoxemic respiratory failure and macrophage activation syndrome (MAS). In both of these clinical conditions, overexpressed proinflammatory cytokines lead to endothelial dysfunction and can cause damage to vital organs, primarily the lungs. The most frequently used parameters with prognostic significance in COVID-19 include D-dimer, interleukin 6 (IL-6), fibrinogen, and ferritin levels, leukopenia, and prothrombin time [2-4].

Surfactant protein D (SP-D), which is a member of the innate immune system, is one of the collectin family of proteins synthesized by Type 2 alveolar epithelium. In addition to SP-D, other members of this family include SP-A and mannose-binding lectin (MBL). These proteins mainly target alveolar macrophages, dendritic cells, and T cells and play an important role in agglutination, opsonization, and modulation. Studies have shown that SP-D levels increase with disease severity and IgG level in patients infected with SARS-CoV, a similar coronavirus responsible for severe acute respiratory syndrome (SARS) [5, 6].

The aim of the present study was to evaluate the relationship between IL-6 level, an established prognostic marker in COVID-19, and SP-D level, which is closely associated with the clinical course of SARS, and clinical course and prognosis in COVID-19 patients.

Materials and Methods

The study included patients who presented to emergency department of Atatürk University and the Erzurum City Hospital with symptoms such as recent-onset fever, cough, shortness of breath, fatigue, and sudden attenuation of taste and smell and had returned from travel abroad or had contact with a suspected COVID-19 patient within the past 14 days.

For patients with risk factors for COVID-19, posterior-anterior chest X-rays were obtained and if suspicious lesions were detected, a more detailed examination was performed using high-resolution thoracic computed tomography. COVID-19 diagnosis was made based on real-time reverse transcriptase (RT)-PCR diagnostic testing of nasopharyngeal swab samples obtained from the patients. The first SARS-CoV-2-positive patients presented to Erzurum City Hospital and Atatürk University on March 20 and 24, respectively. This study included 88 COVID-19 patients treated in the pulmonology and infectious diseases departments of these centers between March 24 and April 15 and a control group of 20 asymptomatic healthcare workers who had negative RT-PCR results during routine COVID-19 screening in our hospital and volunteered to participate. The patients’ hematological parameters, biochemical parameters including liver and kidney function tests, coagulation parameters, ferritin, D-dimer, troponin-I, CRP, and arterial blood gas parameters were evaluated at admission and daily thereafter.

Definitions and Diagnosis

Axillary temperature over 37.3 °C was regarded as fever. Presence of signs and symptoms of bacteremia or pneumonia together with an endotracheal aspirate or lower respiratory tract sputum culture positive for a new pathogen was evaluated as secondary bacterial infection. Patients diagnosed as having ventilator-associated or hospital-acquired pneumonia were treated according to the available guidelines. ARDS was diagnosed and classified using the 2015 Berlin diagnostic criteria. If the daily cardiac-specific troponin-I level of the patients was above normal, the patient was evaluated by echocardiography for newly developed cardiac pathologies. Coagulopathy was defined as prothrombin and partial thromboplastin times prolonged by 3 s and 5 s, respectively. Based on disease severity, treatment was planned according to the COVID-19 adult diagnosis and treatment guidelines published by the Turkish Ministry of Health. Patients exhibiting findings such as persistent fever, C-reactive protein (CRP), and ferritin levels that remain high or continue to increase, D-dimer elevation, thrombocytopenia or lymphopenia, abnormal liver function tests, hypofibrinogenemia, or elevated triglyceride levels despite treatment were followed up for MAS. If repeated measures of these parameters showed continued deterioration that could not be explained by secondary bacterial infection, the patients were given 400 mg tocilizumab for MAS if not contraindicated. Clinical and laboratory response was evaluated after 24 h. Only patients who did not respond were given another 400 mg of tocilizumab.

Measurement of Biochemical Markers

Peripheral venous blood samples were collected after 15 min of rest into tubes containing ethylenediaminetetraacetic acid (EDTA). Troponin-I levels were measured by chemiluminescent immunoassay using an Immulite 2500 device (Siemens Medical Solutions, Erlangen, Germany). IL-6 and SP-D levels were measured by enzyme-linked immunosorbent assay (Elabscience human ELISA kit, UK).

Statistical Analysis

The data were analyzed using IBM SPSS Statistics for Windows version 20.0 (IBM Corp., Armonk, NY). Pearson’s chi-square test and Mann–Whitney U test were used for intergroup comparisons of parametric data and nonnormally distributed numerical data, respectively. Independent samples t-test was used to compare demographic data and laboratory parameters between the groups. Wilcoxon analysis was used for intragroup comparisons of laboratory values during follow-up. Spearman correlation analysis was used to evaluate relationships between IL-6 and SP-D levels, while Pearson correlation analysis was used to evaluate correlations of IL-6 and SP-D with CRP, ferritin, D-dimer, lymphocyte, neutrophil/lymphocyte ratio, troponin-I, and PaO2/FiO2. A p-value less than 0.05 was considered statistically significant.

Results

Of the patients included in our study, 47 (53.4%) were female and 41 (46.6%) were male. The control group included 12 (60%) females and 8 (40%) males. Mean age was 49.1 ± 21.1 years in the patient group and 35.2 ± 6.9 years in the control group. No statistically significant difference was detected between the groups in terms of age or sex (p = 0.196, p = 0.34). Comorbidities observed in the COVID-19 patients and their relationship with the parameters are shown in supplementary Tables 1, 2. Patients in the control group had no comorbidities or history of smoking.

Comparative analysis of the patients’ laboratory parameters at time of admission and on day 5 of follow-up, and the IL-6 and SP-D levels of the control subjects are shown in Table 1 (Figs. 1, 2). The patients had significantly higher IL-6 and SP-D levels at admission than on day 5 (p = 0.001 for both). The patients’ IL-6 and SP-D levels at admission were significantly higher than in the control group (p = 0.001 for both). At day 5, these values were still higher than in the control group, but the difference was not statistically significant (p = 0.08, p = 0.2). Comparative analysis of the laboratory parameters of patients who developed MAS (n = 20) and did not develop MAS (n = 68) at the time of admission and on day 5 of follow-up is presented in Tables 2, 3, 4. Compared to patients without MAS, patients with MAS had significantly higher levels of IL-6 and SP-D at admission and on day 5 (IL-6: p = 0.001 for both; SP-D: p = 0.02, p = 0.04). Comparative analysis of the laboratory parameters at admission and on day 5 of follow-up in patients who developed ARDS (n = 35) and did not develop ARDS (n = 53) is shown in Tables 4, 5. Patients who developed ARDS had significantly higher IL-6 and SP-D levels at both time points compared to those who did not (p = 0.001 for all). Seven patients died. Comparison of survivors and nonsurvivors showed that the nonsurvivors had significantly higher levels of IL-6 (150.8 ± 68.6 pg/ml vs 46.1 ± 46.9 pg/ml, p = 0.001) and SP-D (96.7 ± 37.2 ng/ml vs 56.9 ± 43.5 ng/ml, p = 0.03).

Table 1

Comparison of laboratory parameters of COVID-19 patients at admission and on day 5 of treatment

	Admission (n = 88)(Mean ± SD)	Day 5 of treatment (n = 88)	p
WBC (/µL)	7239.7 ± 4023.8	7158.7 ± 3370.7	0.82
Lymphocytes (/µL)	1573.2 ± 888.4	1823.2 ± 906.8	0.003
Neutrophils (/µL)	4987.3 ± 3614.9	4685.1 ± 3250.1	0.206
NLR	5.3 ± 8.4	4.3 ± 8.4	0.03
AST (U/L)	32.9 ± 20.5	31.9 ± 34.1	0.189
ALT (U/L)	30.6 ± 25.2	31.3 ± 23.4	0.225
LDH (U/L)	311.7 ± 159.1	305.1 ± 199.9	0.275
GGT (U/L)	39.9 ± 34.2	40.6 ± 35.7	0.317
ALP (U/L)	79.1 ± 41.2	69.2 ± 27.5	0.003
Sodium (mmol/L)	138.8 ± 3.9	140.7 ± 4.6	0.007
Potassium (mmol/L)	4.2 ± 0.5	4.4 ± 0.5	0.001
Creatine (mg/dL)	1.1 ± 0.9	1.1 ± 0.9	0.319
Prothrombin time (s)	15.9 ± 6.8	14.6 ± 5.1	0.001
CRP (mg/dL)	63.3 ± 83.5	27.5 ± 27.4	0.001
Troponin-I (ng/dL)	67.1 ± 297.8	149.7 ± 1185.2	0.001
PaO2/FiO2	294.3 ± 69.1	323.9 ± 47.6	0.001
D-Dimer (ng/mL)	1151.7 ± 1809.5	666.7 ± 925.5	0.001

WBC White blood cells, NLR neutrophil/lymphocyte ratio, AST aspartate aminotransferase, ALT alanine aminotransferase, LDH lactate dehydrogenase, GGT gamma glutamyl transferase, ALP alkaline phosphatase, IL-6 interleukin 6, SP-D surfactant protein D

Fig. 1

IL-6 levels at admission and on day 5 of treatment in patients with and without MAS and ARDS p*: 0.001 (Comparison of IL-6 levels at time of admission and day 5 of treatment between groups)

Fig. 2

SP-D levels at admission and on day 5 of treatment in patients with and without MAS and ARDS p*: 0.02, p**: 0.04, p***: 0.001 (Comparison of SP-D levels at time of admission and day 5 of treatment between groups)

Table 2

Comparison of laboratory parameters at admission and on day 5 among COVID-19 patients who did and did not develop macrophage activation syndrome (MAS)

	MAS patients (n = 20)		Non-MAS patients (n = 68)		p
	Admission	Day 5 of treatment	Admission	Day 5 of treatment
WBC (/µL)	9133.7 ± 7270.7	8915 ± 5886.2	6760.1 ± 2324.1	6705.5 ± 2191.9	0.17 / 0.01
Lymphocytes (/µL)	821.1 ± 405.9	1028.8 ± 670.9	1794.7 ± 872.5	2028.2 ± 847.9	0.001 / 0.001
Neutrophils (/µL)	7513.2 ± 6404.7	7353.1 ± 5602.8	4316.3 ± 1896.9	3996.5 ± 1807.1	0.04 / 0.001
NLR	13.3 ± 15.1	11.6 ± 16.6	3.1 ± 2.6	2.4 ± 2	0.008 / 0.001
AST (U/L)	42.2 ± 19.7	63.4 ± 66.2	30.3 ± 20.3	23.9 ± 9.7	0.02 / 0.001
ALT (U/L)	36.4 ± 28.3	44.4 ± 34.5	29.2 ± 24.5	28 ± 18.6	0.273 / 0.01
LDH (U/L)	451.3 ± 304.3	557.1 ± 296.1	270.5 ± 118.5	242 ± 95.1	0.001 / 0.001
GGT (U/L)	57 ± 47.1	72.3 ± 54.8	33.3 ± 23.2	32.6 ± 23.7	0.04 / 0.001
ALP (U/L)	81.7 ± 33.9	66.1 ± 29.3	77.1 ± 42.3	70 ± 37.2	0.66 / 0.61
Sodium (mmol/L)	137.5 ± 6.1	145.2 ± 7.8	139.1 ± 3.1	139.6 ± 2.4	0.3 / 0.001
Potassium (mmol/L)	4.2 ± 0.6	4.5 ± 0.7	4.2 ± 0.4	4.4 ± 0.5	0.8 / 0.49
Creatine (mg/dL)	1.8 ± 1.8	2.1 ± 1.8	0.9 ± 0.5	0.8 ± 0.2	0.04 / 0.001
Prothrombin time (s)	20.4 ± 12.4	19.6 ± 9.3	14.7 ± 3.5	13.3 ± 1.8	0.04 / 0.001
CRP (mg/dL)	176.7 ± 75.7	50.9 ± 29.8	27.7 ± 38.7	11.2 ± 18.4	0.001 / 0.001
Troponin-I (ng/dL)	276.1 ± 607.3	674 ± 2517.9	8.9 ± 15.3	3.2 ± 6	0.001 / 0.02
PaO2/FiO2	209.8 ± 67.7	296.3 ± 42.4	318.9 ± 47.6	331.7 ± 46.4	0.001 / 0.004
D-Dimer (ng/mL)	2529.9 ± 3111.7	1327 ± 1425.5	766.6 ± 955.2	476.7 ± 616.6	0.03 / 0.001
Ferritin (ng/mL)	1094.4 ± 1559.9	490.3 ± 75.6	346.7 ± 144.1	134.6 ± 76.4	0.001 / 0.001

MAS Macrophage activation syndrome, WBC white blood cells, NLR neutrophil/lymphocyte ratio, AST aspartate aminotransferase, ALT alanine aminotransferase, LDH lactate dehydrogenase, GGT gamma glutamyl transferase, ALP alkaline phosphatase, COHb Carboxyhemoglobin, p comparison of parameters at time of admission and day 5 of treatment between groups

Table 3

Comparison of laboratory parameters at admission and on day 5 among COVID-19 patients who did and did not develop acute respiratory distress syndrome (ARDS)

	ARDS patients (n = 35)		Non-ARDS patients (n = 53)		p
	Admission	Day 5 of treatment	Admission	Day 5 of treatment
WBC (/µL)	8109.1 ± 5749.5	8292.1 ± 4588.6	6665.5 ± 2151.8	6487.9 ± 2169.9	0.1 / 0.02
Lymphocytes (/µL)	960 ± 467.3	1188.6 ± 674.9	1978.1 ± 870.3	2198.8 ± 816.2	0.001 / 0.001
Neutrophils (/µL)	6411.4 ± 5117.7	6466.6 ± 4424.9	4046.8 ± 1572.3	3630.6 ± 1571.8	0.002 / 0.001
NLR	9.8 ± 11.9	8.6 ± 12.8	2.3 ± 1.1	1.8 ± 0.9	0.001 / 0.001
AST (U/L)	42.9 ± 25.1	46.6 ± 52.2	26.4 ± 13.4	23.5 ± 10.4	0.001 / 0.003
ALT (U/L)	34.1 ± 30.6	36.5 ± 26.9	28.5 ± 20.9	28.3 ± 20.8	0.3 / 0.1
LDH (U/L)	434.4 ± 180.1	464.1 ± 255.1	230.7 ± 65.6	214.6 ± 60.7	0.001 / 0.001
GGT (U/L)	55.2 ± 44.6	56.1 ± 45.1	29.9 ± 20	31.7 ± 25.6	0.001 / 0.03
ALP (U/L)	90.1 ± 55.1	67.6 ± 27.7	71.8 ± 26.9	70.1 ± 27.6	0.07 / 0.7
Sodium (mmol/L)	137.3 ± 4.9	142 ± 6.9	139.7 ± 2.8	139.9 ± 2.3	0.005 / 0.06
Potassium (mmol/L)	4.1 ± 0.6	4.3 ± 0.6	4.2 ± 0.4	4.4 ± 0.4	0.171 / 0.3
Creatine (mg/dL)	1.3 ± 1.4	1.5 ± 1.5	0.9 ± 0.5	0.8 ± 0.2	0.04 / 0.002
Prothrombin time (s)	19.1 ± 9.6	17.2 ± 7.5	13.8 ± 2.1	13.1 ± 1.5	0.001 / 0.001
CRP (mg/dl)	132.1 ± 92.4	40.4 ± 31	17.9 ± 28.3	6.7 ± 11.5	0.001 / 0.001
Troponin-I (ng/dl)	160.5 ± 460.3	380.2 ± 1889.7	5.4 ± 7.6	1.8 ± 1.7	0.001 / 0.001
PaO2/FiO2	228.5 ± 58.8	296.8 ± 44.8	337.8 ± 29.5	341.3 ± 41.1	0.001 / 0.001
D-Dimer (ng/mL)	2113.2 ± 2622.2	1169.8 ± 1310.8	534.9 ± 243.8	331.3 ± 135.2	0.001 / 0.001
Ferritin (ng/mL)	742.4 ± 1204.9	401.6 ± 347.3	359.7 ± 143.1	180.6 ± 36.7	0.02 / 0.01

ARDS acute respiratory distress syndrome, WBC white blood cells, NLR neutrophil/lymphocyte ratio, AST aspartate aminotransferase, ALT alanine aminotransferase, LDH lactate dehydrogenase, GGT gamma glutamyl transferase, ALP alkaline phosphatase, COHb Carboxyhemoglobin, p comparison of parameters at time of admission and day 5 of treatment between groups

Table 4

Comparison of IL-6 and SP-D levels at admission between COVID-19 patients with and without MAS and ARDS and the control group

	MAS		ARDS		Control(n = 20) (mean ± SD)	p*
	+ (n = 20) (mean ± SD)	−(n = 68) (mean ± SD)	+ (n = 35) (mean ± SD)	−(n = 53) (mean ± SD)
IL-6 (pg/mL)	114.5 ± 60.5*	36.2 ± 30.4*	91.6 ± 63.4*	39.4 ± 30.7*	25.6 ± 22.4	0.001
SP-D (ng/mL)	80.9 ± 45.5*	53.7 ± 42.2*	82.3 ± 45.4*	46.5 ± 39.2*	21.1 ± 18.6	0.001

p* comparison of IL-6 and SP-D levels of patients at hospital admission with control group

Table 5

Comparison of IL-6 and SP-D levels on day 5 between COVID-19 patients with and without MAS and ARDS and the control group

	MAS		ARDS		Control(n = 20) (mean ± SD)	p*
	+ (n = 20) (mean ± SD)	−(n = 68) (mean ± SD)	+ (n = 35) (mean ± SD)	−(n = 53) (mean ± SD)
IL-6 (pg/mL)	46.2 ± 43.6*	22.4 ± 20.8	40.1 ± 34.5*	22.1 ± 18.6	25.6 ± 22.4	0.001
SP-D (ng/mL)	50.4 ± 18.3*	35.6 ± 8.4*	46.4 ± 33.2*	22.4 ± 18.9	21.1 ± 18.6	0.001

p* comparison of IL-6 and SP-D levels of patients at day 5 of treatment with control group

Correlation analysis between IL-6 level and other laboratory parameters at time of admission revealed negative correlations with lymphocyte level (r = −0.404, p = 0.01) and PaO2/FiO2 (r = −0.636, p = 0.01) and positive correlations with neutrophil–lymphocyte ratio (r = 0.386, p = 0.01), lactate dehydrogenase (r = 0.415, p = 0.01), creatine (r = 0.339, p = 0.01), prothrombin time (r = 0.57, p = 0.01), CRP (r = 0.257, p = 0.05), troponin-I (r = 0.636, p = 0.01), D-dimer (r = 0.426, p = 0.01), and SP-D (r = 0.218, p = 0.05) (Supplementary Figs. 1 and 2). A strong positive correlation was detected between IL-6 level and smoking history (pack-years) (r = 0.871, p = 0.01) (Supplementary Fig. 3).

Correlation analysis between SP-D level and other laboratory parameters at time of admission revealed a negative correlation with PaO2/FiO2 level (r = −0.364, p = 0.01) and positive correlations with CRP (r = 0.305, p = 0.01), troponin-I (r = 0.23, p = 0.01), ferritin (r = 0.243, p = 0.05), and D-dimer levels (r = 0.339, p = 0.01) (Supplementary Fig. 4,5).

Discussion

In our study, we observed that levels of IL-6 and SP-D were higher in COVID-19 patients compared to the control group and decreased during follow-up. We found that high IL-6 and SP-D levels were strongly associated with ARDS and MAS development. In addition, we observed that IL-6 and SP-D levels were higher in nonsurvivors compared to patients who survived. IL-6, ferritin, CRP, troponin-I, and D-dimer, which are known to be associated with clinical course and are used in the follow-up of COVID-19, were positively correlated with SP-D level and negatively correlated with PaO2/FiO2.

The International Committee on Taxonomy of Viruses named the novel coronavirus or 2019 “Severe Acute Respiratory Syndrome Coronavirus 2” (SARS-CoV-2) due to its similarity to SARS-CoV. SARS-CoV and MERS-CoV are other coronaviruses that can cause significant morbidity and mortality in humans and have caused epidemics in the past [7]. Laboratory tests demonstrate lymphopenia in most COVID-19 patients [8]. This suggests that like SARS-CoV, SARS-CoV-2 may preferentially affect lymphocytes, particularly T lymphocytes. Viral particles spread from the respiratory mucosa to infect other cells, causing a cytokine storm. T lymphocyte damage is believed to be an important factor in the development of this cytokine storm [9]. Therefore, it has been suggested that lymphopenia may be a reference parameter that can be used in the diagnosis of COVID-19 [10]. Cytokine storms are characterized by the overproduction of several proinflammatory cytokines, primarily, TNF-alpha, IL-1, IL-2, IL-6, and nitric oxide. These cytokines increase vascular permeability, resulting in impaired tissue perfusion, endothelial damage, and microthrombus formation [11]. The increase in vascular permeability causes fluid to accumulate in the lung tissue and interstitial area, which in turn leads to acute respiratory failure. Favorable results have been reported on the use of the IL-6 antagonist tocilizumab to prevent the development of these complications [2]. IL-6 levels may be increased in diabetes mellitus, coronary artery disease, chronic airway diseases, and smoking, all of which are important factors of morbidity and mortality in COVID-19 [12-15].

In acute respiratory failure, endothelial damage plays an important role in the development and exacerbation of hypoxemic respiratory failure. Type 2 epithelial damage in the alveoli disrupts surfactant production by these cells and leads to the development of microatelectasic areas [16]. Surfactant facilitates expansion of the alveolar wall and also plays a role in innate immune defense. SP-D is a member of collectin protein family, which are also important players in innate immune defense. This family also includes SP-A and MBL [17]. The primary aim of these proteins is to facilitate microbial clearance by enabling the agglutination, opsonization, and modulation of alveolar macrophages, dendritic cells, and T lymphocytes to damaged cells. In vitro studies with SP-D showed that it modulates antigen presentation to class II T cells in a dose-dependent manner and plays a role in the clearance of influenza A and HIV viruses [18, 19]. Studies related to SARS-CoV demonstrated a strong relationship between mutations in the MBL gene and poor prognosis and clinical course [6, 20]. In studies evaluating the relationship between SP-D level and respiratory and non-respiratory diseases, higher levels were observed with chronic airway diseases and smoking. In addition, significantly higher levels were found in atherosclerosis, which is important in the etiology of diabetes mellitus and coronary artery disease [21, 22].

In our study of SARS-CoV-2 (COVID-19) patients, we observed that prothrombin time, CRP, troponin-I, IL-6, and D-dimer levels, all markers previously associated with clinical course and prognosis, were high early in the disease and decreased during follow-up. In addition, elevated liver enzymes were observed during patient follow-up. Although studies suggest that this may be related to the direct effect of the virus on the liver, it may also have been a result of metabolism of favipiravir used in antiviral therapy in the liver [23, 24].

Studies on SARS patients showed that their SP-D levels were higher compared to a healthy control group and patients with community-acquired pneumonia caused by Streptococcus pneumonia [17]. Consistent with the results of previous research, we found that SP-D level was higher in patients with COVID-19 compared to the control group and decreased with treatment. Moreover, SP-D levels were even higher in patients who developed MAS or ARDS compared to those who did not, both at the time of admission and on day 5 of treatment despite the decrease. In light of these data, the increase in SP-D in correlation to the clinical severity of the disease may be attributed to its protective effect, as SP-D is emphasized to be primarily anti-inflammatory.

As with SP-D, we also observed that IL-6 levels at admission and day 5 were relatively higher in patients who developed MAS or ARDS compared to the patients who did not. IL-6 has been identified as a parameter that can be used in the diagnosis and follow-up of cytokine storm syndrome, and studies have shown that the IL-6 antagonist tocilizumab may have an important place in the cytokine storm in particular. Our current data support these previous studies, as we administered 400 mg or 800 mg tocilizumab to our patients who developed MAS during clinical follow-up. All of the patients in our study who developed MAS also exhibited ARDS. In MAS patients treated with tocilizumab, SP-D level decreased by 50.1% and IL-6 level decreased by 59.6% compared to initial levels, while these reductions were 39.2% for SP-D and 42.3% for IL-6 in patients with ARDS only. This suggests that the use of tocilizumab in addition to existing antiviral therapy may be beneficial in MAS patients. Our evaluation of the relationship between the patients’ comorbidities and the examined parameters showed that diabetes mellitus and being an active smoker or ex-smoker had a greater effect on IL-6 level than SP-D. This may explain our findings of a weak correlation between these two parameters in the correlation analysis. The significantly higher SP-D and IL-6 levels at admission in the 7 nonsurviving patients compared to the survivors could be evaluated as evidence that SP-D and IL-6 are parameters that may be used to guide early treatment approach.

The main limitation observed in our study was the difference in IL-6 level in relation to comorbid diseases and smoking, which limited its association with SP-D level. However, the higher frequency of ARDS and MAS in active or former smokers with comorbid diseases makes it difficult to establish populations with homogeneous distribution. Nevertheless, the fact that both parameters were higher in patients with severe COVID-19 and both regressed during follow-up suggests that the findings can be generalized.

In conclusion, initially high IL-6 and SP-D levels in COVID-19 patients may be guiding parameters for the early planning of close monitoring and treatment in terms of the development of ARDS, MAS, and mortality. Future studies should investigate the potential of SP-D as a pneumoprotein that can be used as a marker for treatment planning for COVID-19 patients.

Below is the link to the electronic supplementary material.

Supplementary file1 (docx 13 kb)

Supplementary file2 (docx 233 kb)