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1.
Lab Med ; 52(5): 493-498, 2021 Sep 01.
Article in English | MEDLINE | ID: covidwho-1526169

ABSTRACT

OBJECTIVE: The aim of the study was to assess the role of midregional proadrenomedullin (MR-proADM) in patients with COVID-19. METHODS: We included 110 patients hospitalized for COVID-19. Biochemical biomarkers, including MR-proADM, were measured at admission. The association of plasma MR-proADM levels with COVID-19 severity, defined as a requirement for mechanical ventilation or in-hospital mortality, was evaluated. RESULTS: Patients showed increased levels of MR-proADM. In addition, MR-proADM was higher in patients who died during hospitalization than in patients who survived (median, 2.59 nmol/L; interquartile range, 2.3-2.95 vs median, 0.82 nmol/L; interquartile range, 0.57-1.03; P <.0001). Receiver operating characteristic curve analysis showed good accuracy of MR-proADM for predicting mortality. A MR-proADM value of 1.73 nmol/L was established as the best cutoff value, with 90% sensitivity and 95% specificity (P <.0001). CONCLUSION: We found that MR-proADM could represent a prognostic biomarker of COVID-19.


Subject(s)
Adrenomedullin/blood , COVID-19/diagnosis , Hypertension/diagnosis , Lung Diseases/diagnosis , Protein Precursors/blood , Aged , Alanine Transaminase/blood , Aspartate Aminotransferases/blood , Biomarkers/blood , C-Reactive Protein/metabolism , COVID-19/blood , COVID-19/mortality , COVID-19/virology , Comorbidity , Female , Humans , Hypertension/blood , Hypertension/mortality , Hypertension/virology , Interleukin-6/blood , Lung Diseases/blood , Lung Diseases/mortality , Lung Diseases/virology , Male , Middle Aged , Patient Selection , Prognosis , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Survival Analysis , Triage/methods
2.
Diagnostics (Basel) ; 11(7)2021 Jun 22.
Article in English | MEDLINE | ID: covidwho-1288825

ABSTRACT

(1) Background: The evaluation of anti-spike protein receptor-binding domain (S-RBD) antibodies represents a useful tool to estimate the individual protection against Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) infection; (2) Methods: We evaluated anti S-RBD IgG levels by indirect chemiluminescence immunoassay on Maglumi 800 (SNIBE, California) in 2248 vaccinated subjects without previous SARS-CoV-2 infection, 91 vaccinated individuals recovered from COVID-19, and 268 individuals recovered from COVID-19 who had not been vaccinated. Among those who were healthy and vaccinated, 352 subjects performed a re-dosing after about 72 days from the first measurement. (3) Results: Anti S-RBD IgG levels were lower in subjects with previous infection than vaccinated subjects, with or without previous infection (p < 0.001). No difference was observed between vaccinated subjects, with and without previous SARS-CoV-2 infection. Overall, anti-RBD IgG levels were higher in females than males (2110 vs. 1341 BAU/mL; p < 0.001) as well as in subjects with symptoms after vaccination than asymptomatic ones (2085 vs. 1332 BAU/mL; p = 0.001) and lower in older than younger subjects. Finally, a significant decrease in anti-RBD IgG levels was observed within a short period from a complete two-dose cycle vaccination. (4) Conclusions: Our results show an efficacy antibody response after vaccination with age-, time- and sex-related differences.

3.
Ann Lab Med ; 41(6): 540-548, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1264319

ABSTRACT

During a severe infection such as coronavirus disease 2019 (COVID-19), the level of almost all analytes can change, presenting a correlation with disease severity and survival; however, a biomarker cannot be translated into clinical practice for treatment guidance until it is proven to have a significant impact. Several studies have documented the association between COVID-19 severity and circulating levels of C-reactive protein (CRP) and interleukin-6, and the accuracy of the CRP level in predicting treatment responses has been evaluated. Moreover, promising findings on prothrombin and D-dimer have been reported. However, the clinical usefulness of these biomarkers in COVID-19 is far from proven. The burst of data generation during this pandemic has led to the publication of numerous studies with several notable drawbacks, weakening the strength of their findings. We provide an overview of the key findings of studies on biomarkers for the prognosis and treatment response in COVID-19 patients. We also highlight the main drawbacks of these studies that have limited the clinical use of these biomarkers.


Subject(s)
Biomarkers/analysis , COVID-19/pathology , Biomarkers/metabolism , C-Reactive Protein/analysis , COVID-19/therapy , COVID-19/virology , Fibrin Fibrinogen Degradation Products/analysis , Humans , Interleukin-6/analysis , MicroRNAs/metabolism , Prognosis , SARS-CoV-2/isolation & purification , Severity of Illness Index
4.
Brain Sci ; 11(3)2021 Feb 27.
Article in English | MEDLINE | ID: covidwho-1120484

ABSTRACT

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a neurotropic virus with a high neuroinvasive potential. Indeed, more than one-third of patients develop neurological symptoms, including confusion, headache, and hypogeusia/ageusia. However, long-term neurological consequences have received little interest compared to respiratory, cardiovascular, and renal manifestations. Several mechanisms have been proposed to explain the potential SARS-CoV-2 neurological injury that could lead to the development of neurodegenerative diseases, including Alzheimer's Disease (AD). A mutualistic relationship between AD and COVID-19 seems to exist. On the one hand, COVID-19 patients seem to be more prone to developing AD. On the other hand, AD patients could be more susceptible to severe COVID-19. In this review, we sought to provide an overview on the relationship between AD and COVID-19, focusing on the potential role of biomarkers, which could represent precious tool for early identification of COVID-19 patients at high risk of developing AD.

5.
Biochem Med (Zagreb) ; 30(3): 030901, 2020 Oct 15.
Article in English | MEDLINE | ID: covidwho-874947

ABSTRACT

Introduction: The 2019 Coronavirus disease (COVID-19) has been characterized as a pandemic, representing a serious global public health emergency. Serological tests have been proposed as reliable tools for detecting Coronavirus SARS-CoV-2 antibodies in infected patients, especially for surveillance or epidemiological purposes. The aim of this study is to evaluate the agreement between the IgM/IgG rapid assays, based on lateral flow immunochromatographic assay, and the fully automated 2019-nCoV IgM and IgG, based on chemiluminescence immunoassay. Materials and methods: SARS-CoV-2 antibodies were measured with the BIOSYNEX COVID-19 BSS IgM/IgG test (BIOSYNEX, Illkirch-Graffenstaden, France) and the MAGLUMI CLIA (IgM and IgG) (SNIBE - Shenzhen New Industries Biomedical Engineering, Shenzhen, China) in 70 serum samples from patients with PCR-confirmed diagnosis. The strength of the agreement of the two methods was calculated by using the Cohen Kappa index. Results: The results showed a good grade of concordance between the two immunoassays with a Cohen's kappa coefficient of 0.71 (95%CI: 0.54-0.87) for IgG SARS-CoV-2 antibodies and 0.70 (95%CI: 0.53-0.87) for IgM SARS-CoV-2 antibodies. In addition, the rapid assays BIOSYNEX COVID-19 BSS for detecting SARS-CoV-2 antibodies showed a positive likelihood ratio (LR) of 10.63 (95%CI: 2.79-40.57) for IgG and a LR of 6.79 (95%CI: 2.93-15.69) for IgM. Conclusion: Our results suggest that the immunochromatographic rapid IgM/IgG test and the chemiluminescence IgM and IgG immunoassay have a good degree of concordance, suggesting that both could be considered as useful tools for epidemiologic surveillance.


Subject(s)
Antibodies, Viral/blood , Betacoronavirus/immunology , Clinical Laboratory Techniques/methods , Coronavirus Infections/diagnosis , Immunoglobulin G/blood , Immunoglobulin M/blood , Pandemics , Pneumonia, Viral/diagnosis , Aged , COVID-19 , COVID-19 Testing , Female , Humans , Immunoassay , Luminescent Measurements , Male , Middle Aged , Population Surveillance , Reproducibility of Results , SARS-CoV-2
6.
Diagnosis (Berl) ; 7(4): 365-372, 2020 Nov 18.
Article in English | MEDLINE | ID: covidwho-615210

ABSTRACT

Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a respiratory disease, which can evolve into multi-organ failure (MOF), leading to death. Several biochemical alterations have been described in COVID-19 patients. To date, many biomarkers reflecting the main pathophysiological characteristics of the disease have been identified and associated with the risk of developing severe disease. Lymphopenia represents the hallmark of the disease, and it can be detected since the early stage of infection. Increased levels of several inflammatory biomarkers, including c-reactive protein, have been found in COVID-19 patients and associated with an increased risk of severe disease, which is characterised by the so-called "cytokine storm". Also, the increase of cardiac and liver dysfunction biomarkers has been associated with poor outcome. In this review, we provide an overview of the main biochemical characteristics of COVID-19 and the associated biomarkers alterations.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/metabolism , Pneumonia, Viral/metabolism , Aged , Aged, 80 and over , Betacoronavirus/isolation & purification , Biomarkers , Blood Coagulation Disorders/etiology , Blood Coagulation Disorders/metabolism , C-Reactive Protein/analysis , COVID-19 , Coronavirus Infections/classification , Coronavirus Infections/complications , Coronavirus Infections/epidemiology , Coronavirus Infections/virology , Cytokines/metabolism , Disease Progression , Humans , Inflammation/complications , Inflammation/metabolism , Inflammation/virology , Kidney Diseases/metabolism , Kidney Diseases/physiopathology , Liver Diseases/etiology , Liver Diseases/metabolism , Lymphopenia/etiology , Muscles/injuries , Muscles/metabolism , Myocardial Infarction/etiology , Myocardial Infarction/metabolism , Pandemics/classification , Pneumonia, Viral/classification , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , SARS-CoV-2 , Severity of Illness Index , Water-Electrolyte Balance/physiology
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