Effectiveness and Safety of SARS-CoV-2 Vaccination in HIV-Infected Patients-Real-World Study.

The development of COVID-19 vaccines has been a triumph of biomedical research. However, there are still challenges, including assessment of their immunogenicity in high-risk populations, including PLWH. In the present study, we enrolled 121 PLWH aged >18 years, that were vaccinated against COVID-19 in the Polish National Vaccination Program. Patients filled in questionnaires regarding the side effects of vaccination. Epidemiological, clinical, and laboratory data were collected. The efficacy of COVID-19 vaccines was evaluated with an ELISA that detects IgG antibodies using a recombinant S1 viral protein antigen. The interferon-gamma release assay (IGRA) was applied to quantitate interferon-gamma (IFN-γ) to assess cellular immunity to SARS-CoV-2. In total, 87 patients (71.9%) received mRNA vaccines (BNT162b2-76 (59.5%), mRNA-1273- 11 (9.1%)). A total of 34 patients (28.09%) were vaccinated with vector-based vaccines (ChAdOx Vaxzevria- 20 (16.52%), Ad26.COV2.S- 14 (11.6%)). A total of 95 (78.5%) of all vaccinated patients developed a protective level of IgG antibodies. Only eight PLWH (6.6%) did not develop cellular immune response. There were six patients (4.95%) that did not develop a cellular and humoral response. Analysis of variance proved that the best humoral and cellular response related to the administration of the mRNA-1273 vaccine. COVID-19 vaccines were found to be immunogenic and safe in PLWH. Vaccination with mRNA vaccines were related to better humoral and cellular responses.

Artificial intelligence guided HRCT assessment predicts the severity of COVID-19 pneumonia based on clinical parameters.

BACKGROUND: The purpose of the study was to compare the results of AI (artificial intelligence) analysis of the extent of pulmonary lesions on HRCT (high resolution computed tomography) images in COVID-19 pneumonia, with clinical data including laboratory markers of inflammation, to verify whether AI HRCT assessment can predict the clinical severity of COVID-19 pneumonia. METHODS: The analyzed group consisted of 388 patients with COVID-19 pneumonia, with automatically analyzed HRCT parameters of volume: AIV (absolute inflammation), AGV (absolute ground glass), ACV (absolute consolidation), PIV (percentage inflammation), PGV (percentage ground glass), PCV (percentage consolidation). Clinical data included: age, sex, admission parameters: respiratory rate, oxygen saturation, CRP (C-reactive protein), IL6 (interleukin 6), IG - immature granulocytes, WBC (white blood count), neutrophil count, lymphocyte count, serum ferritin, LDH (lactate dehydrogenase), NIH (National Institute of Health) severity score; parameters of clinical course: in-hospital death, transfer to the ICU (intensive care unit), length of hospital stay. RESULTS: The highest correlation coefficients were found for PGV, PIV, with LDH (respectively 0.65, 0.64); PIV, PGV, with oxygen saturation (respectively - 0.53, -0.52); AIV, AGV, with CRP (respectively 0.48, 0.46); AGV, AIV, with ferritin (respectively 0.46, 0.45). Patients with critical pneumonia had significantly lower oxygen saturation, and higher levels of immune-inflammatory biomarkers on admission. The radiological parameters of lung involvement proved to be strong predictors of transfer to the ICU (in particular, PGV ≥ cut-off point 29% with Odds Ratio (OR): 7.53) and in-hospital death (in particular: AIV ≥ cut-off point 831 cm3 with OR: 4.31). CONCLUSIONS: Automatic analysis of HRCT images by AI may be a valuable method for predicting the severity of COVID-19 pneumonia. The radiological parameters of lung involvement correlate with laboratory markers of inflammation, and are strong predictors of transfer to the ICU and in-hospital death from COVID-19. TRIAL REGISTRATION: National Center for Research and Development CRACoV-HHS project, contract number SZPITALE-JEDNOIMIENNE/18/2020.

Non-HIV-related comorbidities and uncontrolled HIV replication are independent factors increasing the odds of hospitalization due to COVID-19 among HIV-positive patients in Poland.

PURPOSE: Immunocompromised patients are postulated to be at elevated risk of unfavorable outcomes of COVID-19. The exact effect of HIV infection on the course of COVID-19 remains to be elucidated. The aim of the study was to describe the epidemiological and clinical aspects of SARS-CoV-2 infection in HIV-infected individuals. METHODS: The HIV-positive patients who were diagnosed with SARS-CoV-2 infection were identified through thirteen specialist HIV clinics routinely following them due to HIV treatment. The data were collected between November 2020 and May 2021 through an on-line electronical case report form (SurveyMonkey®). The collected information included demographics, lifestyle, comorbidities, HIV care history, COVID-19 clinical course and treatment. Logistic regression models were used to identify factors associated with the odds of death or hospitalization due to COVID-19. RESULTS: One hundred and seventy-three patients with HIV-SARS-CoV-2 coinfection were included in the analysis. One hundred and sixty-one (93.1%) subjects had a symptomatic course of the disease. Thirty-nine (23.1%) of them were hospitalized, 23 (13.3%) necessitated oxygen therapy. Three (1.8%) patients required admission to the intensive care unit and 6 (3.5%) patients died. The presence of comorbidities and an HIV viral load of more than 50 copies/mL were linked to the increased odds of hospitalization (OR 3.24 [95% CI 1.27-8.28]) and OR 5.12 [95% CI 1.35-19.6], respectively). CONCLUSIONS: As depicted by our analyses, HIV-positive patients with comorbidities and/or uncontrolled HIV replication who are diagnosed with SARS-CoV-2 infection should be considered of high risk of poor COVID-19 outcome and followed up carefully.

Delayed HIV diagnosis during the COVID-19 pandemic in Poland: A call for targeted HIV testing for those under suspicion of SARS-CoV-2.

OBJECTIVES: The aim of this study was to analyse patients newly diagnosed with HIV who were originally admitted to hospitals with suspicion of COVID-19. METHODS: This was a retrospective case series undertaken at four sites. Only adults with new HIV diagnosis and COVID-19 exclusion hospitalized in 2020-2021 were included. Demographic, clinical and laboratory data were collected from medical records. RESULTS: Twenty-five patients were included in the analysis: 19 men (76%), 11 of Ukrainian origin (44%). The median age was 38.5 years (range 25-59). The mode of HIV transmission was heterosexual for 11 (44%) patients, eight (32%) were men who have sex with men and three (12%) were people who inject drugs. The median duration of symptoms prior to hospital presentation was 20.6 days (range 3-90). The median number of SARS-CoV-2 tests per patient was 2.62 (range 1-7). All SARS-CoV-2 tests were negative. Screening for HIV was performed on average on the 18th day of hospitalization (range 1-36 days). Twenty-three patients (92%) were late presenters, 22 (88%) had advanced disease, and 19 (76%) were in the AIDS stage. The median CD4 T-cell count was 72 cells/µL (range 3-382). The rate of positive HIV testing at the two sites where it was available for people with suspected COVID-19 was 0.13% (7/5458 during the study period). CONCLUSIONS: We strongly recommend introducing the HIV screening test in the diagnostic algorithm for every patient suspected of having COVID-19, presenting with clinical and/or radiological pulmonary symptoms.

Comparison between COVID­19 outcomes in the first 3 waves of the pandemic: a reference hospital report.

INTRODUCTION: The course of consecutive COVID­19 waves was influenced by medical and organizational factors. OBJECTIVES: We aimed to assess the outcomes of patients hospitalized for COVID­19 during the first 3 waves of the pandemic. PATIENTS AND METHODS: We performed a retrospective analysis of medical records of all COVID­19 patients admitted to the University Hospital in Kraków, Poland, a designated COVID­19 hospital in Malopolska province, between March 1, 2020 and May 31, 2021. The waves were defined as 1, 2, and 3, and covered the periods of March 2020 to July 2020, August 2020 to January 2021, and February 2021 to May 2021, respectively. Patients' characteristics and outcomes for waves 1 through 3 were compared. RESULTS: Data analyses included 5191 patients with COVID­19. We found differences in age (mean [SD], 60.2 [17.3] years vs 62.4 [16.8] years vs 61.9 [16.1] years, respectively, for waves 1, 2, and 3; P = 0.003), sex distribution (proportion of women, 51.4% vs 44.2% vs 43.6%; P = 0.003), as well as concentrations of inflammatory markers and oxygen saturation (the lowest and the highest for wave 1, respectively; P <0.001). Hospital death rates in subsequent waves were 10.4%, 19.8%, and 20.3% (P <0.001). Despite similarities in patients' characteristics, the length of hospital and intensive care unit stay was shorter for wave 3 than for wave 2. The risk factors for in­hospital death were: advanced age, male sex, cardiovascular or chronic kidney disease, higher C­reactive protein level, and hospitalization during the second or third wave. CONCLUSIONS: We identified differences in patients' clinical characteristics and outcomes between consecutive pandemic waves, which probably reflect changes in terms of COVID­19 isolation policy, hospitalization and treatment indications, and treatment strategies.

Brain Fog and Quality of Life at Work in Non-Hospitalized Patients after COVID-19.

Background: There is still a need for studies on the quality of life (QoL) at work among COVID-19 survivors. Therefore, we aimed to evaluate the association between the brain fog symptoms and the QoL at work in non-hospitalized patients with previous SARS-CoV-2 infection. Methods: Three hundred non-hospitalized patients (79.33% women; median age, 36 years; interquartile range, 30-48 years) were included in the final analysis. An anonymous neuropsychological questionnaire containing eight different questions on the presence of brain fog symptoms in four time intervals, i.e., pre-COVID-19 and 0-4, 4-12, and >12 weeks after infection, was retrospectively introduced to patients and staff of the University Hospital in Krakow. Additionally, a four-point Likert scale was used to evaluate QoL at work in four time periods. Included were participants aged ≥ 18 years in whom the diagnosis of COVID-19 was confirmed by the RT-PCR from nasopharyngeal swab and the first symptoms occurred no earlier than 3 months before the completion of the questionnaire. Results: Before SARS-CoV-2 infection, 28.00% (n = 84) of patients reported poor QoL at work. Within 4, 4-12, and >12 weeks after infection, a decrease in QoL was observed in 75.67% (n = 227), 65.00% (n = 195), and 53.66% (n = 161) of patients, respectively (p < 0.001). With increasing deterioration of the QoL at work, the number of brain fog symptoms increased, and patients with severe QoL impairment exhibited a median of five symptoms for <4, 4-12, and >12 weeks post-COVID-19. In the multivariable logistic regression model, predictors of the deterioration of the QoL at work depended on the time from COVID-19 onset; in the acute phase of the disease (<4 weeks), it was predicted by impairment in remembering information from the past (OR 1.88, 95%CI: 1.18-3.00, p = 0.008) and multitasking (OR 1.96, 95%CI: 1.48-2.58, p < 0.001). Furthermore, an impairment in the QoL at work 4-12 weeks and >12 weeks after COVID-19 was independently associated with age (OR 0.46, 95%CI: 0.25-0.85, p = 0.014 and OR 1.03, 95%CI: 1.01-1.05, p = 0.025, respectively), problems with multitasking (OR 2.05, 95%CI: 1.40-3.01, p < 0.001 and OR 1.75, 95%CI: 1.15-2.66, p = 0.009, respectively), answering questions in an understandable/unambiguous manner (OR 1.99, 95%CI: 1.27-3.14, p = 0.003 and OR 2.00, 95%CI: 1.47-2.36, p = 0.001, respectively), and, only for the >12 week interval, problems with remembering information from the past (OR 2.21, 95%CI: 1.24-3.92, p = 0.007). Conclusions: Certain brain fog symptoms, such as impaired memory or multitasking, are predictors of a poorer QoL at work not only during the acute phase of COVID-19 but also within more than 12 weeks after the onset of infection.

Chemerin as a Potential Marker of Resolution of Inflammation in COVID-19 Infection.

Chemerin is one of the specialized pro-resolving mediators that participate in the early phase of inflammation and contribute to the initiation of the pro-resolving response. There is a paucity of data regarding the time course of chemerin during acute infections. We aimed to evaluate the sequence of inflammatory responses in the acute COVID-19 phase throughout onset and resolution of inflammation. We evaluated changes in selected biomarkers in COVID-19 survivors on the 7-day and 28-day follow up. Chemerin was lower in patients with baseline moderate/severe disease at day 7 compared with asymptomatic patients and individuals with mild illness (7265 [5526-9448] vs. 8730 [6888-11,058] pg/mL; p = 0.03). Only in patients with moderate/severe disease, but not in those with mild symptoms, were chemerin concentrations decreased one week after infection onset compared with baseline (7265 [5526-9448] vs. 8866 [6383-10,690] pg/mL; p < 0.05) with a subsequent increase on the 28-day follow up (9313 [7353-11,033] pg/mL; p < 0.05). Resolution of inflammation in the group of moderate/severe SARS-CoV2 infection was associated with increasing serum concentrations of chemerin, contrary to pro-inflammatory cytokines and adipokines (pentraxin 3, TNFα, resistin, leptin). A similar pattern of angiopoietin-2 dynamics may suggest signs of enhanced vascularization as a consequence of acute SARS-CoV2 infection.

Cardiac biomarkers on admission and in­hospital mortality in COVID-19 patients with or without concomitant heart failure.

INTRODUCTION: High­sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B type natriuretic peptide (NT­ proBNP) are known markers of cardiac injury. However, their role in predicting the severity of COVID­19 remains to be investigated. OBJECTIVES: We aimed to analyze the association between hs­cTnT and NT-proBNP levels and in hospital mortality in patients with COVID­19, with emphasis on those with concomitant chronic heart failure (CHF). PATIENTS AND METHODS: A total of 1729 consecutive patients with COVID­19 were enrolled. Demographic data, laboratory parameters, and clinical outcomes (discharge or death) were analyzed. Receiver operating characteristic (ROC) and logistic regression analyses were performed to evaluate the association between hs­cTnT and NT-proBNP values and the risk of death. RESULTS: Evaluation of hs­cTnT was performed in 1041 patients, while NT-proBNP was assessed in 715 individuals. CHF was present in 179 cases (10.4% of the cohort). Median values of hs­cTnT and NT-proBNP and in­hospital mortality were higher in CHF patients than in those without CHF. Among patients without CHF, mortality was the highest in those with hs­cTnT or NT-proBNP values in the fourth quartile. In ROC analysis, hs­cTnT equal to or above 142 ng/l and NT-proBNP equal to or above 969 pg/ml predicted in­hospital death. In patients without CHF, each 10-ng/l increase in hs-cTnT or 100-pg/ml increase in NT­proBNP was associated with a higher risk of death (odds ratio [OR], 1.01 and OR, 1.02, respectively; P <0.01 for both). CONCLUSION: The level of hs­cTnT or NT-proBNP predicts in hospital mortality in COVID-19 patients. Both hs­cTnT and NT-proBNP should be routinely measured on admission in all patients hospitalized due to COVID­19 for early detection of individuals with an increased risk of in hospital death, even if they do not have concomitant heart failure.

Does Hospitalization Change the Perception of COVID-19 Vaccines among Unvaccinated Patients?

The COVID-19 vaccination has been the subject of unprecedented misinformation, false news, and public concerns. This study presents a unique analysis comprising persons who were not vaccinated and became ill. It investigates reasons for not vaccinating and evaluates how the personal experience of COVID-19 affected further attitudes and decisions related to health. The study included 730 consecutive unvaccinated patients hospitalized in 12 centers in Poland during the autumn 2021 pandemic wave. The most frequent reason behind the refusal to receive the vaccine was concern over the adverse effects, disbelief that the vaccine was sufficiently tested, and one's conviction that COVID-19 will not affect a patient. Online information, friends, spouse, children/grandchildren, and other family members were most often the source of discouragement from vaccination. Most individuals regretted their decision not to receive a vaccine (66.0%), declared to promote COVID-19 vaccination after discharge (64.0%), and to receive a COVID-19 vaccine in the time recommended for convalescents (69.5%). Individuals expressing no regrets of vaccine refusal more frequently revealed conspiracy beliefs. The study shows that personal experience with severe COVID-19 can influence the perception of vaccination, but approximately one-third of unvaccinated hospitalized patients still appear to express vaccine hesitancy.

CRACoV-HHS: an interdisciplinary project for multi-specialist hospital and non-hospital care for patients with SARS-CoV-2 infection as well hospital staff assessment for infection exposure.

The complex course of the COVID-19 and the distant complications of the SARS-CoV-2 infection still remain an unfaded challenge for modern medicine. The care of patients with the symptomatic course of COVID-19 exceeds the competence of a single specialty, often requiring a multispecialist approach. The CRACoV-HHS (CRAcow in CoVid pandemic - Home, Hospital and Staff) project has been developed by a team of scientists and clinicians with the aim of optimizing medical care at hospital and ambulatory settings and treatment of patients with SARS-CoV-2 infection. The CRACoV project integrates 26 basic and clinical research from multiple medical disciplines, involving different populations infected with SARS-CoV-2 virus and exposed to infection. Between January 2021 and April 2022 we plan to recruit subjects among patients diagnosed and treated in the University Hospital in Cracow, the largest public hospital in Poland, i.e. 1) patients admitted to the hospital due to COVID-19 [main module: 'Hospital']; 2) patients with signs of infection who have been confirmed as having SARS-CoV-2 infection and have been referred to home isolation due to their mild course (module: 'Home isolation'); 3) patients with symptoms of infection and high exposure to SARS- CoV-2 who have a negative RT-PCR test result. In addition, survey in various professional groups of hospital employees, both medical and non-medical, and final-fifth year medical students (module: 'Staff') is planned. The project carries both scientific and practical dimension and is expected to develop a multidisciplinary model of care of COVID-19 patients as well as recommendations for the management of particular groups of patients including: asymptomatic patient or with mild symptoms of COVID-19; symptomatic patients requiring hospitalization due to more severe clinical course of disease and organ complications; patient requiring surgery; patient with diabetes; patient requiring psychological support; patient with undesirable consequences of pharmacological treatment.

Effect of COVID-19 on Anti-S Antibody Response in Healthcare Workers Six Months Post-Vaccination.

The current study aimed to determine to what extent prior COVID-19 infection affects the response of specific antibodies following vaccination. The study involved 173 healthcare professionals who completed the two-dose vaccination course with BNT162b2, including 40 who previously experienced clinical COVID-19. The levels of anti-SARS-CoV-2 S1S2 IgG (anti-S) and, in some cases, anti-SARS-CoV-S-RBD IgG (anti-S-RBD) were determined six months after complete vaccination. A level exceeding the cut-off values for both anti-S and anti-S-RBD was observed in 100% of subjects, but after setting the analysis to 5- and 10-fold cut-off levels, the percentage of subjects meeting this criterion was significantly higher for anti-S-RBD. The 100-fold cut-off level was achieved by only 21% and 16% for anti-S and anti-S-RBD, respectively. Anti-S and anti-S-RBD levels above ten times the positive cut-off were respectively observed in 91% and 100% individuals with a history of COVID-19, while among those without COVID-19, these values were 64% and 90%, respectively. Significantly higher incidence of values above 10 and 100 times the cut-off became apparent among people with a history of COVID-19. In conclusion, vaccination against COVID-19 following infection with the disease provides higher levels of specific antibodies 6 months after vaccination than those of individuals without a history of the disease, which supports the use of a booster dose, particularly for those who have not experienced SARS-CoV-2 infection.

Anti-inflammatory adipokines: chemerin, vaspin, omentin concentrations and SARS-CoV-2 outcomes.

Coronavirus disease 2019 (COVID-19) is associated with systemic inflammation. A wide range of adipokines activities suggests they influence pathogenesis and infection course. The aim was to assess concentrations of chemerin, omentin, and vaspin among COVID-19 patients with an emphasis on adipokines relationship with COVID-19 severity, concomitant metabolic abnormalities and liver dysfunction. Serum chemerin, omentin and vaspin concentrations were measured in serum collected from 70 COVID-19 patients at the moment of admission to hospital, before any treatment was applied and 20 healthy controls. Serum chemerin and omentin concentrations were significantly decreased in COVID-19 patients compared to healthy volunteers (271.0 vs. 373.0 ng/ml; p < 0.001 and 482.1 vs. 814.3 ng/ml; p = 0.01, respectively). There were no correlations of analyzed adipokines with COVID-19 severity based on the presence of pneumonia, dyspnea, or necessity of Intensive Care Unit hospitalization (ICU). Liver test abnormalities did not influence adipokines levels. Elevated GGT activity was associated with ICU admission, presence of pneumonia and elevated concentrations of CRP, ferritin and interleukin 6. Chemerin and omentin depletion in COVID-19 patients suggests that this adipokines deficiency play influential role in disease pathogenesis. However, there was no relationship between lower adipokines level and frequency of COVID-19 symptoms as well as disease severity. The only predictive factor which could predispose to a more severe COVID-19 course, including the presence of pneumonia and ICU hospitalization, was GGT activity.

Fetuin-A Deficiency but Not Pentraxin 3, FGF-21, or Irisin, Predisposes to More Serious COVID-19 Course.

Analysis of liver biopsy specimens showed that SARS-CoV-2 might have led to liver damage. This study aimed to evaluate the role of selected hepatokines and myokines in the development and progression of COVID-19. Seventy patients with laboratory-confirmed COVID-19 and 20 healthy volunteers were enrolled in the study. Irisin, pentraxin 3, fetuin-A, and FGF-21 serum concentrations and biochemical parameters were assessed using an immunoenzymatic method with commercially available enzyme immunoassay (EIA) or enzyme-linked immunosorbent assay (ELISA) kits. Serum fetuin-A concentrations were significantly decreased in COVID-19 patients compared to healthy volunteers. The serum concentration of FGF-21 was significantly increased in obese COVID-19 patients compared to overweight ones. Moreover, the FGF-21 level was higher in COVID-19 patients diagnosed with metabolic syndrome than in patients without metabolic syndrome. PTX3 concentration was higher in COVID-19 patients with higher HOMA-IR values than those with lower HOMA-IR values. COVID-19 patients with HOMA-IR ≤ 3 and >3 had significantly lower fetuin-A levels than the control group. Irisin concentration was significantly decreased in the HOMA-IR ≤ 3 COVID-19 subgroup when comparing with the control group. Lower levels of fetuin-A observed in COVID-19 patients despite higher HOMA-IR, CRP, and ferritin levels, pneumonia, patients requiring ICU care suggests that fetuin-A deficiency predisposes to more severe COVID-19 course. Upregulated pentraxin 3 may be used as a potential predictor of COVID-19 severity.

Association between cardiovascular disease, cardiovascular drug therapy, and in-hospital outcomes in patients with COVID-19: data from a large single-center registry in Poland.

BACKGROUND: The coronavirus disease 19 (COVID-19) recently became one of the leading causes of death worldwide, similar to cardiovascular disease (CVD). Coexisting CVD may influence the prognosis of patients with COVID-19. AIMS: We analyzed the impact of CVD and the use of cardiovascular drugs on the in-hospital course and mortality of patients with COVID-19. METHODS: We retrospectively studied data for consecutive patients admitted to our hospital, with COVID-19 between March 6th and October 15th, 2020. RESULTS: 1729 patients (median interquartile range age 63 [50-75] years; women 48.8%) were included. Overall, in-hospital mortality was 12.9%. The most prevalent CVD was arterial hypertension (56.1%), followed by hyperlipidemia (27.4%), diabetes mellitus (DM) (25.7%), coronary artery disease (16.8%), heart failure (HF) (10.3%), atrial fibrillation (13.5%), and stroke (8%). Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs/ARBs) were used in 25.0% of patients, ß-blockers in 40.7%, statins in 15.6%, and antiplatelet therapy in 19.9%. Age over 65 years (odds ratio [OR], 6.4; 95% CI, 4.3-9.6), male sex (OR, 1.4; 95% CI, 1.1-2.0), pre-existing DM (OR, 1.5; 95% CI, 1.1-2.1), and HF (OR, 2.3; 95% CI, 1.5-3.5) were independent predictors of in-hospital death, whereas treatment with ACEIs/ARBs (OR, 0.4; 95% CI, 0.3-0.6), ß-blockers (OR, 0.6; 95% CI, 0.4-0.9), statins (OR, 0.5; 95% CI, 0.3-0.8), or antiplatelet therapy (OR, 0.6; 95% CI: 0.4-0.9) was associated with lower risk of death. CONCLUSIONS: Among cardiovascular risk factors and diseases, HF and DM appeared to increase in-hospital COVID-19 mortality, whereas the use of cardiovascular drugs was associated with lower mortality.

Diagnostic Significance of Serum Galectin-3 in Hospitalized Patients with COVID-19-A Preliminary Study.

Severe coronavirus disease 2019 (COVID-19) is associated with hyperinflammation leading to organ injury, including respiratory failure. Galectin-3 was implicated in innate immunological response to infections and in chronic fibrosis. The aim of our preliminary study was the assessment of the diagnostic utility of serum galectin-3 in patients with COVID-19. The prospective observational study included adult patients admitted with active COVID-19 and treated in tertiary hospital between June and July 2020. The diagnosis was confirmed by the quantitative detection of nucleic acid of severe acute respiratory syndrome coronavirus 2 in nasopharyngeal swabs. Galectin-3 was measured by enzyme immunoassay in serum samples obtained during the first five days of hospital stay. We included 70 patients aged 25 to 73 years; 90% had at least one comorbidity. During the hospital stay, 32.9% were diagnosed with COVID-19 pneumonia and 12.9% required treatment in the intensive care unit (ICU). Serum galectin-3 was significantly increased in patients who developed pneumonia, particularly those who required ICU admission. Positive correlations were found between galectin-3 and inflammatory markers (interleukin-6, C-reactive protein, ferritin, pentraxin-3), a marker of endothelial injury (soluble fms-like tyrosine kinase-1), and a range of tissue injury markers. Serum galectin-3 enabled the diagnosis of pneumonia with moderate diagnostic accuracy and the need for ICU treatment with high diagnostic accuracy. Our findings strengthen the hypothesis that galectin-3 may be involved in severe COVID-19. Further studies are planned to confirm the preliminary results and to verify possible associations of galectin-3 with long-term consequences of COVID-19, including pulmonary fibrosis.

Differences among COVID-19, Bronchopneumonia and Atypical Pneumonia in Chest High Resolution Computed Tomography Assessed by Artificial Intelligence Technology.

The aim of this study was to compare the results of automatic assessment of high resolution computed tomography (HRCT) by artificial intelligence (AI) in 150 patients from three subgroups: pneumonia in the course of COVID-19, bronchopneumonia and atypical pneumonia. The volume percentage of inflammation and the volume percentage of "ground glass" were significantly higher in the atypical (respectively, 11.04%, 8.61%) and the COVID-19 (12.41%, 10.41%) subgroups compared to the bronchopneumonia (5.12%, 3.42%) subgroup. The volume percentage of consolidation was significantly higher in the COVID-19 (2.95%) subgroup compared to the atypical (1.26%) subgroup. The percentage of "ground glass" in the volume of inflammation was significantly higher in the atypical (89.85%) subgroup compared to the COVID-19 (79.06%) subgroup, which in turn was significantly higher compared to the bronchopneumonia (68.26%) subgroup. HRCT chest images, analyzed automatically by artificial intelligence software, taking into account the structure including "ground glass" and consolidation, significantly differ in three subgroups: COVID-19 pneumonia, bronchopneumonia and atypical pneumonia. However, the partial overlap, particularly between COVID-19 pneumonia and atypical pneumonia, may limit the usefulness of automatic analysis in differentiating the etiology. In our future research, we plan to use artificial intelligence for objective assessment of the dynamics of pulmonary lesions during COVID-19 pneumonia.