Evaluation of Hepcidin Level in COVID-19 Patients Admitted to the Intensive Care Unit.

Coronavirus disease 2019 (COVID-19) presents a clinical spectrum that ranges from a mild condition to critical illness. Patients with critical illness present respiratory failure, septic shock and/or multi-organ failure induced by the so called "cytokine storm". Inflammatory cytokines affect iron metabolism, mainly inducing the synthesis of hepcidin, a hormone peptide not routinely measured. High levels of hepcidin have been associated with the severity of COVID-19. The aim of this study was to analyze, retrospectively, the levels of hepcidin in a group of COVID-19 patients admitted to the intensive care unit (ICU) of the Policlinico Tor Vergata of Rome, Italy. Thirty-eight patients from November 2020 to May 2021 were enrolled in the study. Based on the clinical outcome, the patients were assigned to two groups: survivors and non-survivors. Moreover, a series of routine laboratory parameters were monitored during the stay of the patients in the ICU and their levels correlated to the outcome. Statistical differences in the level of hepcidin, D-dimer, IL-6, LDH, NLR, neutrophils level, CRP, TNF-α and transferrin were observed between the groups. In particular, hepcidin values showed significantly different median concentrations (88 ng/mL vs. 146 ng/mL) between survivors and non-survivors. In addition, ROC curves analysis revealed sensitivity and specificity values of 74% and 76%, respectively, at a cut-off of 127 (ng/mL), indicating hepcidin as a good biomarker in predicting the severity and mortality of COVID-19 in ICU patients.

Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19.

Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%).

Correlations between chest-CT and laboratory parameters in SARS-CoV-2 pneumonia: A single-center study from Italy.

ABSTRACT: To investigate the relationship between damaged lung assessed by chest computed tomography (CT) scan and laboratory biochemical parameters with the aim of finding other diagnostic tools.Patients who underwent chest CT for suspected Corona Virus Disease-2019 (COVID-19) pneumonia at the emergency department admission in the first phase of COVID-19 epidemic in Italy were retrospectively analyzed. Patients with both negative chest CT and absence of the novel coronavirus in nasopharyngeal or oropharyngeal real-time reverse transcriptase polymerase chain reaction (RT-PCR) swabs were excluded from the study. A total of 462 patients with positive CT scans for interstitial pneumonia were included in the study (250 males and 212 females, mean age 57 ±â€Š17 years, range 18-89). Of these, 344 were positive to RT-PCR test, 118 were negative to double RT-PCR tests.CTs were analyzed for quantification of affected lung volume visually and by dedicated software. Statistical analysis to evaluate the relationship between laboratory analyses and CT patterns and amount of damaged lung related with COVID-19 pneumonia was performed in 2 groups of patients: positive RT-PCR COVID-19 group and negative RT-PCR COVID-19 group, but both with positive CT scans for interstitial pneumonia.Lymphocytopenia, C-reactive protein (CRP), lactate dehydrogenase (LDH), d-dimer, and fibrinogen increased levels occurred in most patients without statistically significant differences between the 2 groups with CT scans suggestive for COVID-19. In fact, in both groups the volume of lung damage was strongly associated with altered laboratory test results, even for patients with negative RT-PCR test.The decreased number of lymphocytes, and the increased levels of CRP, LDH, d-dimer, and fibrinogen levels are associated with SARS-CoV 2 related pneumonia. This may be useful as an additional diagnostic tool in patients with double negative RT-PCR assay and with highly suspected clinic and chest CT features for COVID-19 to isolate patients in a pandemic period.

Lymphocytes, Interleukin 6 and D-dimer Cannot Predict Clinical Outcome in Coronavirus Cancer Patients: LyNC1.20 Study.

BACKGROUND/AIM: Knowledge of Coronavirus 19 (COVID19) pathogenetic mechanisms is necessary to provide new treatment strategies. This study aims to assess how oncological disease impacts on the clinical course of COVID-19 patients. PATIENTS AND METHODS: From 1st March to 30th April 2020, 96 COVID-19 patients were classified according to clinical outcome as severe (n=67) and moderate (n=29). Demographic data, medical history, admission lymphocytes, procalcitonin (PCT), c-reactive-protein (CRP), D-dimer, and Interleukin-6 (IL-6) were collected. RESULTS: A statistically significant association was found between hypertension (p=0.007) and three or more comorbidities with severe outcomes (p=0.034). No statistical differences were found between the severe and moderate groups with regards to the rate of patients with past oncological history. However, no patient allocated in the moderate group had received oncological treatment within 12 months. Higher values of CRP, IL-6, D-Dimer and lower values of lymphocytes were reported in the severe group (p=0.0007, p=0.00386, p=0.041, and p=0.007, respectively). Using binary logistic regression, higher values of CRP (OR=8.861; p=0.012) and PCT were associated with a higher risk of severe outcome (OR=21.075; p=0.008). Within the oncological population, D-Dimer and IL-6 did not confirm their prognostic significance as in the general population (p>0.05). CONCLUSION: Specific prognostic factors for oncological patients should be designed for COVID-19 clinical practice.

Chest Computed Tomography Scoring in Patients With Novel Coronavirus-infected Pneumonia: Correlation With Clinical and Laboratory Features and Disease Outcome.

BACKGROUND/AIM: This study investigated the correlation of chest computed tomography (CT), findings, graded using two different scoring methods, with clinical and laboratory features and disease outcome, including a novel clinical predictive score, in patients with novel coronavirus-infected pneumonia (NCIP). PATIENTS AND METHODS: In this retrospective, observational study, CT scan of 92 NCIP patients admitted to Policlinico Tor Vergata, were analyzed using a quantitative, computed-based and a semiquantitative, radiologist-assessed scoring system. Correlations of the two radiological scores with clinical and laboratory features, the CALL score, and their association with a composite adverse outcome were assessed. RESULTS: The two scores correlated significantly with each other (ρ=0.637, p<0.0001) and were independently associated with age, LDH, estimated glomerular filtration rate, diabetes, and with the composite outcome, which occurred in 24 patients. CONCLUSION: In NCIP patients, two different radiological scores correlated with each other and with several clinical, laboratory features, and the CALL score. The quantitative score was a better independent predictor of the composite adverse outcome than the semiquantitative score.

Effect of Lockdown in Surgical Emergency Accesses: Experience of a COVID-19 Hospital.

BACKGROUND/AIM: SARS-CoV-2 pandemic imposed extraordinary restriction measures and a complete reorganization of the Health System. The aim of the study was to evaluate the impact of COVID-19 on emergency surgical department accesses. PATIENTS AND METHODS: Patients admitted to surgical emergency departments was retrospectively recorded during the Lockdown (March 11, 2020-May 3, 2020) and compared with the same number of days in 2019 and immediately before Lockdown (January 16, 2020-March 10, 2020). Diagnoses, priority levels, modes of patient's transportation, waiting times and outcomes were analysed. RESULTS: During the lockdown phase, we ob-served a reduction in the access to emergency surgical departments of 84.45% and 79.78%, com-pared with the Pre-Lockdown2019 and Pre-Lockdown2020 groups, respectively. Patient's transportation, hospitalization and patients discharge with indications to an outpatient visit, waiting and total times exhibited a significant difference during the lockdown (p<0.005). CONCLUSION: We observed a reduction of surgical emergency accesses during the lockdown. Implementing the use of the regional systems and preventing overcrowding of emergency departments could be beneficial for reducing waiting times and improving the quality of treatments for patients.