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  1. Article ; Online: Serum ferritin at admission in hospitalized COVID-19 patients as a predictor of mortality.

    Lino, Katia / Guimarães, Gabriel Macedo Costa / Alves, Lilian Santos / Oliveira, Any Caroline / Faustino, Renan / Fernandes, Cintia Souza / Tupinambá, Gleiser / Medeiros, Thalia / Silva, Andrea Alice da / Almeida, Jorge Reis

    The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

    2021  Volume 25, Issue 2, Page(s) 101569

    Abstract: ... levels at admission, representing an inflammatory state, and hospital mortality in COVID-19 patients ... Introduction: Some COVID-19 patients have higher mortality and the responsible factors ... Conclusion: The magnitude of inflammation present at admission of COVID-19 patients, represented by high ...

    Abstract Introduction: Some COVID-19 patients have higher mortality and the responsible factors for this unfavorable outcome is still not well understood.
    Objective: To study the association between ferritin levels at admission, representing an inflammatory state, and hospital mortality in COVID-19 patients.
    Methods: From May through July 2020, SARS-CoV-2 positive patients with moderate to severe clinical symptoms were evaluated at admission, regarding clinical and laboratory data on renal and hepatic function, hematologic parameters, cytomegalovirus co-infection, and acute phase proteins.
    Results: A total of 97 patients were included; mean age=59.9±16.3 years, 58.8% male, 57.7% non-white, in-hospital mortality=45.4%. Age, ferritin, C-reactive protein, serum albumin and creatinine were significantly associated with mortality. Ferritin showed area under the curve (AUC) of 0.79 (p<0.001) for the cut-off of 1873.0ng/mL, sensitivity of 68.4% and specificity of 79.3% in predicting in-hospital mortality. Age ≥60 years had an odds ratio (OR) of 10.5 (95% CI=1.8-59.5; p=0.008) and ferritin ≥1873.0ng/mL had an OR of 6.0 (95% CI=1.4-26.2; p=0.016), both independently associated with mortality based on logistic regression analysis.
    Conclusion: The magnitude of inflammation present at admission of COVID-19 patients, represented by high ferritin levels, is independently predictive of in-hospital mortality.
    MeSH term(s) Adult ; Aged ; COVID-19 ; Female ; Ferritins ; Hospital Mortality ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors ; SARS-CoV-2
    Chemical Substances Ferritins (9007-73-2)
    Language English
    Publishing date 2021-03-15
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 2041400-6
    ISSN 1678-4391 ; 1413-8670
    ISSN (online) 1678-4391
    ISSN 1413-8670
    DOI 10.1016/j.bjid.2021.101569
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Serum biomarkers for prediction of mortality in patients with COVID-19.

    Loomba, Rohit S / Villarreal, Enrique G / Farias, Juan S / Aggarwal, Gaurav / Aggarwal, Saurabh / Flores, Saul

    Annals of clinical biochemistry

    2021  Volume 59, Issue 1, Page(s) 15–22

    Abstract: ... mortality in patients with the coronavirus disease (COVID-19) pandemic. The purpose of this study is ... to determine the differences in serum biomarker levels in adults with COVID-19 who survived hospitalization ... on admission in patients who survived from those who did not. Further research is needed to develop risk ...

    Abstract Background: There is limited information regarding the role of biomarker levels at predicting mortality in patients with the coronavirus disease (COVID-19) pandemic. The purpose of this study is to determine the differences in serum biomarker levels in adults with COVID-19 who survived hospitalization from those who did not.
    Methods: A comprehensive search was completed on PubMed, EMBASE and Cochrane libraries to identify studies of interest. Endpoints of interest were blood counts, hepatic function test, acute phase reactants, cytokines and cardiac biomarkers.
    Results: A total of 10 studies with 1584 patients were included in the pooled analyses. Biomarkers that were noted to be significantly higher in those who died from coronavirus disease included: white blood cell count, neutrophil count, C-reactive protein, high sensitivity C-reactive protein, procalcitonin, ferritin, D-dimer, interleukin-6, lactate dehydrogenase, creatine kinase, prothrombin time, aspartate aminotransferase, alanine aminotransferase, total bilirubin and creatinine. Lymphocyte count, platelet count and albumin were significantly lower in patients who died.
    Conclusion: This pooled analysis of 10 studies including 1584 patients identified significant differences in biomarkers on admission in patients who survived from those who did not. Further research is needed to develop risk stratification models to help with judicious use of limited health-care resources.
    MeSH term(s) Biomarkers ; C-Reactive Protein/analysis ; COVID-19 ; Humans ; Leukocyte Count ; Pandemics ; Retrospective Studies ; SARS-CoV-2
    Chemical Substances Biomarkers ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2021-05-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 390309-6
    ISSN 1758-1001 ; 0004-5632
    ISSN (online) 1758-1001
    ISSN 0004-5632
    DOI 10.1177/00045632211014244
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Calprotectin serum levels on admission and during follow-up predict severity and outcome of patients with COVID-19: A prospective study.

    Gatselis, Nikolaos K / Lyberopoulou, Aggeliki / Lygoura, Vasiliki / Giannoulis, George / Samakidou, Anna / Vaiou, Antonia / Antoniou, Katerina / Triantafyllou, Katerina / Stefos, Aggelos / Georgiadou, Sarah / Sagris, Dimitrios / Sveroni, Dafni / Gabeta, Stella / Ntaios, George / Norman, Gary L / Dalekos, George N

    European journal of internal medicine

    2023  Volume 122, Page(s) 78–85

    Abstract: ... of the disease and a COVID-19 monitoring parameter in a large cohort of consecutive COVID-19 patients.: Methods ... to severe respiratory failure (SRF)/COVID-19-related mortality.: Results: Median (interquartile range ... inflammatory conditions including severe COVID-19. However, serial serum calprotectin measurements in COVID-19 ...

    Abstract Background & aims: Calprotectin reflects neutrophil activation and is increased in various inflammatory conditions including severe COVID-19. However, serial serum calprotectin measurements in COVID-19 patients are limited. We assessed prospectively, calprotectin levels as biomarker of severity/outcome of the disease and a COVID-19 monitoring parameter in a large cohort of consecutive COVID-19 patients.
    Methods: Calprotectin serum levels were measured in 736 patients (58.2 % males; median age 63-years; moderate disease, n = 292; severe, n = 444, intubated and/or died, n = 50). Patients were treated with combined immunotherapies according to our published local algorithm. The endpoint was the composite event of intubation due to severe respiratory failure (SRF)/COVID-19-related mortality.
    Results: Median (interquartile range) calprotectin levels were significantly higher in patients with severe disease [7(8.2) vs. 6.1(8.1)μg/mL, p = 0.015]. Calprotectin on admission was the only independent risk factor for intubation/death (HR=1.473, 95 %CI=1.003-2.165, p = 0.048) even after adjustment for age, sex, body mass index, comorbidities, neutrophils, lymphocytes, neutrophil to lymphocytes ratio, ferritin, and CRP. The area under the curve (AUC, 95 %CI) of calprotectin for prediction of intubation/death was 0.619 (0.531-0.708), with an optimal cut-off at 13 μg/mL (sensitivity: 44 %, specificity: 79 %, positive and negative predictive values: 13 % and 95 %, respectively). For intubated/died patients, paired comparisons from baseline to middle of hospitalization and subsequently to intubation/death showed significant increase of calprotectin (p = 0.009 and p < 0.001, respectively). Calprotectin alteration had the higher predictive ability for intubation/death [AUC (95 %CI):0.803 (0.664-0.943), p < 0.001].
    Conclusions: Calprotectin levels on admission and their subsequent dynamic alterations could serve as indicator of COVID-19 severity and predict the occurrence of SRF and mortality.
    MeSH term(s) Male ; Humans ; Middle Aged ; Female ; Prospective Studies ; Follow-Up Studies ; Leukocyte L1 Antigen Complex ; COVID-19/therapy ; Biomarkers ; Retrospective Studies
    Chemical Substances Leukocyte L1 Antigen Complex ; Biomarkers
    Language English
    Publishing date 2023-11-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1038679-8
    ISSN 1879-0828 ; 0953-6205
    ISSN (online) 1879-0828
    ISSN 0953-6205
    DOI 10.1016/j.ejim.2023.11.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The prognostic utility of serum thyrotropin in hospitalized Covid-19 patients: statistical and machine learning approaches.

    Pappa, E / Gourna, P / Galatas, G / Manti, M / Romiou, A / Panagiotou, L / Chatzikyriakou, R / Trakas, N / Feretzakis, G / Christopoulos, C

    Endocrine

    2022  Volume 80, Issue 1, Page(s) 86–92

    Abstract: ... serum TSH is independently associated with adverse outcome in hospitalized Greek patients with COVID-19 ... Purpose: To assess the prognostic value of serum TSH in Greek patients with COVID-19 and compare ... it with that of commonly used prognostic biomarkers.: Methods: Retrospective study of 128 COVID-19 in patients with no ...

    Abstract Purpose: To assess the prognostic value of serum TSH in Greek patients with COVID-19 and compare it with that of commonly used prognostic biomarkers.
    Methods: Retrospective study of 128 COVID-19 in patients with no history of thyroid disease. Serum TSH, albumin, CRP, ferritin, and D-dimers were measured at admission. Outcomes were classified as "favorable" (discharge from hospital) and "adverse" (intubation or in-hospital death of any cause). The prognostic performance of TSH and other indices was assessed using binary logistic regression, machine learning classifiers, and ROC curve analysis.
    Results: Patients with adverse outcomes had significantly lower TSH compared to those with favorable outcomes (0.61 versus 1.09 mIU/L, p < 0.001). Binary logistic regression with sex, age, TSH, albumin, CRP, ferritin, and D-dimers as covariates showed that only albumin (p < 0.001) and TSH (p = 0.006) were significantly predictive of the outcome. Serum TSH below the optimal cut-off value of 0.5 mIU/L was associated with an odds ratio of 4.13 (95% C.I.: 1.41-12.05) for adverse outcome. Artificial neural network analysis showed that the prognostic importance of TSH was second only to that of albumin. However, the prognostic accuracy of low TSH was limited, with an AUC of 69.5%, compared to albumin's 86.9%. A Naïve Bayes classifier based on the combination of serum albumin and TSH levels achieved high prognostic accuracy (AUC 99.2%).
    Conclusion: Low serum TSH is independently associated with adverse outcome in hospitalized Greek patients with COVID-19 but its prognostic utility is limited. The integration of serum TSH into machine learning classifiers in combination with other biomarkers enables outcome prediction with high accuracy.
    MeSH term(s) Humans ; Prognosis ; Retrospective Studies ; Thyrotropin ; Bayes Theorem ; Hospital Mortality ; COVID-19 ; Biomarkers ; Machine Learning
    Chemical Substances Thyrotropin (9002-71-5) ; Biomarkers
    Language English
    Publishing date 2022-11-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1194484-5
    ISSN 1559-0100 ; 1355-008X ; 0969-711X
    ISSN (online) 1559-0100
    ISSN 1355-008X ; 0969-711X
    DOI 10.1007/s12020-022-03264-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Possible role of higher serum level of myoglobin as predictor of worse prognosis in Sars-Cov 2 hospitalized patients. A monocentric retrospective study.

    Rotondo, Cinzia / Corrado, Addolorata / Colia, Ripalta / Maruotti, Nicola / Sciacca, Stefania / Lops, Lucia / Cici, Daniela / Mele, Angiola / Trotta, Antonello / Lacedonia, Donato / Foschino Barbaro, Maria Pia / Cantatore, Francesco Paolo

    Postgraduate medicine

    2021  Volume 133, Issue 6, Page(s) 688–693

    Abstract: ... 0.035) could be predictors of mortality in COVID-19 patients. The value of the myoglobin level ... Univariate analysis of the patients' data highlighted some independent risk factors for mortality in COVID-19 ... for predicting 28 days-mortality using ROC curve was 121.8 ng/dL. Lower survival rate was observed in patients ...

    Abstract Background: Limited data on myoglobin and infectious diseases are available. In this study, we evaluate the potential role of myoglobin in predicting poor outcome in patients with Sars-Cov2 pneumonia.
    Methods: One hundred and twenty-one Sars-Cov 2 patients with an average age of 69.9 ± 13.2 years, and symptoms duration of 8.8 ± 7.9 days were enrolled in the study. At the admission, the serum levels of myoglobin, erythrocyte sedimentation rate, C reactive protein (CRP), procalcitonin, ferritin, creatine phosphokinase, creatinine, fibrinogen, d-dimers, lactic dehydrogenase, troponin (Tn-I), creatine kinase myocardial band (CK-MB), complement fractions C3 and C4, immunoglobulins, interleukin 6 were evaluated. We also assessed the patients' complete clinical history and performed a thorough physical examination including age, disease history, and medications.
    Results: Twenty-four (20%) patients died, and 18 (15%) patients required intensive care. The mean time between symptoms onset and death was 12.4 days ± 9.1. Univariate analysis of the patients' data highlighted some independent risk factors for mortality in COVID-19, including higher neutrophils rate (HR: 1.171), lower lymphocyte rate (HR: 0.798), high CK-MB serum levels (HR: 1.6), high Tn-I serum levels (HR: 1.03), high myoglobin serum levels (HR: 1.014), Alzheimer (HR 5.8), and higher CRP values (HR: 1.011). Cox regression analysis model revealed that higher serum values of myoglobin (HR 1.003; 95%CI: 1.001-1.006; p = 0.01), and CRP (HR 1.012; 95% CI: 1.001-1.023; p = 0.035) could be predictors of mortality in COVID-19 patients. The value of the myoglobin level for predicting 28 days-mortality using ROC curve was 121.8 ng/dL. Lower survival rate was observed in patients with serum levels of myoglobin>121.8 ng/dL (84% vs 20% respectively, p = 0.0001).
    Conclusion: Our results suggest that higher serum levels of myoglobin could be a considerable and effective predictor of poor outcomes in COVID-19 patients; a careful follow-up in these patients is strongly suggested. The possibility of enhancing these findings in other cohorts of COVID-19 patients could validate the clinical value of myoglobin as a biomarker for worse prognosis in COVID-19.
    MeSH term(s) Aged ; Biomarkers/blood ; COVID-19/blood ; COVID-19/mortality ; COVID-19/physiopathology ; COVID-19/therapy ; Comorbidity ; Critical Care/methods ; Critical Care/statistics & numerical data ; Female ; Hospital Mortality ; Humans ; Italy/epidemiology ; Male ; Myoglobin/blood ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; Risk Assessment/methods ; Risk Factors ; SARS-CoV-2/isolation & purification
    Chemical Substances Biomarkers ; Myoglobin
    Language English
    Publishing date 2021-07-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 410138-8
    ISSN 1941-9260 ; 0032-5481
    ISSN (online) 1941-9260
    ISSN 0032-5481
    DOI 10.1080/00325481.2021.1949211
    Database MEDical Literature Analysis and Retrieval System OnLINE

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