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  1. Article ; Online: Influence of Physical Training after a Myocardial Infarction on Left Ventricular Contraction Mechanics.

    Lima, Márcio Silva Miguel / Dalçóquio, Talia Falcão / Abduch, Maria Cristina Donadio / Tsutsui, Jeane Mike / Mathias, Wilson / Nicolau, José Carlos

    Arquivos brasileiros de cardiologia

    2023  Volume 120, Issue 4, Page(s) e20220185

    Abstract: Background: Exercise plays a positive role in the course of the ischemic heart disease, enhancing functional capacity and preventing ventricular remodeling.: Objective: To investigate the impact of exercise on left ventricular (LV) contraction ... ...

    Title translation Influência do Exercício Físico sobre a Mecânica de Contração do Ventrículo Esquerdo após Infarto do Miocárdio.
    Abstract Background: Exercise plays a positive role in the course of the ischemic heart disease, enhancing functional capacity and preventing ventricular remodeling.
    Objective: To investigate the impact of exercise on left ventricular (LV) contraction mechanics after an uncomplicated acute myocardial infarction (AMI).
    Methods: A total of 53 patients was included, 27 of whom were randomized to a supervised training program (TRAINING group), and 26 to a CONTROL group, who received usual recommendations on physical exercise after AMI. All patients underwent cardiopulmonary stress testing and a speckle tracking echocardiography to measure several parameters of LV contraction mechanics at one month and five months after AMI. A p value < 0.05 was considered statistically significant for the comparisons of the variables.
    Results: No significant difference were found in the analysis of LV longitudinal, radial and circumferential strain parameters between groups after the training period. After the training program, analysis of torsional mechanics demonstrated a reduction in the LV basal rotation in the TRAINING group in comparison to the CONTROL group (5.9±2.3 vs. 7.5±2.9o; p=0.03), and in the basal rotational velocity (53.6±18.4 vs.68.8±22.1 º/s; p=0.01), twist velocity (127.4±32.2 vs. 149.9±35.9 º/s; p=0.02) and torsion (2.4±0.4 vs. 2.8±0.8 º/cm; p=0.02).
    Conclusions: Physical activity did not cause a significant improvement in LV longitudinal, radial and circumferential deformation parameters. However, the exercise had a significant impact on the LV torsional mechanics, consisting of a reduction in basal rotation, twist velocity, torsion and torsional velocity which can be interpreted as a ventricular "torsion reserve" in this population.
    MeSH term(s) Humans ; Ventricular Function, Left ; Myocardial Infarction/diagnostic imaging ; Heart Ventricles/diagnostic imaging ; Echocardiography ; Exercise ; Myocardial Contraction
    Language Portuguese
    Publishing date 2023-04-24
    Publishing country Brazil
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 730261-7
    ISSN 1678-4170 ; 0066-782X
    ISSN (online) 1678-4170
    ISSN 0066-782X
    DOI 10.36660/abc.20220185
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  2. Article ; Online: Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment.

    Delafiori, Jeany / Siciliano, Rinaldo Focaccia / de Oliveira, Arthur Noin / Nicolau, José Carlos / Sales, Geovana Manzan / Dalçóquio, Talia Falcão / Busanello, Estela Natacha Brandt / Eguti, Adriana / de Oliveira, Diogo Noin / Bertolin, Adriadne Justi / Dos Santos, Luiz Augusto / Salsoso, Rocío / Marcondes-Braga, Fabiana G / Durán, Nelson / Júnior, Maurício Wesley Perroud / Sabino, Ester Cerdeira / Reis, Leonardo Oliveira / Fávaro, Wagner José / Catharino, Rodrigo Ramos

    Journal of molecular medicine (Berlin, Germany)

    2023  Volume 102, Issue 2, Page(s) 183–195

    Abstract: As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of ... ...

    Abstract As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions. KEY MESSAGES: Skin imprints complement plasma in disease metabolomics. The annotated markers have a role in immunomodulation and metabolic diseases. Skin imprints outperformed plasma samples at assessing disease severity. Skin imprints have potential as non-invasive sampling strategy for COVID-19.
    MeSH term(s) Humans ; COVID-19/diagnosis ; SARS-CoV-2 ; COVID-19 Testing ; Cross-Sectional Studies ; Brazil ; Metabolome ; Metabolomics/methods ; Metabolic Diseases ; Biomarkers ; Amides ; Ions
    Chemical Substances Biomarkers ; Amides ; Ions
    Language English
    Publishing date 2023-11-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1223802-8
    ISSN 1432-1440 ; 0946-2716
    ISSN (online) 1432-1440
    ISSN 0946-2716
    DOI 10.1007/s00109-023-02396-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19.

    Lazari, Lucas Cardoso / Ghilardi, Fabio De Rose / Rosa-Fernandes, Livia / Assis, Diego M / Nicolau, José Carlos / Santiago, Veronica Feijoli / Dalçóquio, Talia Falcão / Angeli, Claudia B / Bertolin, Adriadne Justi / Marinho, Claudio Rf / Wrenger, Carsten / Durigon, Edison Luiz / Siciliano, Rinaldo Focaccia / Palmisano, Giuseppe

    Life science alliance

    2021  Volume 4, Issue 8

    Abstract: SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that ... ...

    Abstract SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.
    MeSH term(s) Adult ; Aged ; Biomarkers/blood ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/virology ; Female ; Humans ; Machine Learning ; Male ; Middle Aged ; Pandemics ; Prognosis ; Proteome/metabolism ; Proteomics/methods ; Reproducibility of Results ; SARS-CoV-2/metabolism ; SARS-CoV-2/physiology ; Sensitivity and Specificity ; Serum Amyloid A Protein/analysis ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods
    Chemical Substances Biomarkers ; Proteome ; Serum Amyloid A Protein
    Language English
    Publishing date 2021-06-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2575-1077
    ISSN (online) 2575-1077
    DOI 10.26508/lsa.202000946
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  4. Article ; Online: Effects of exercise on platelet reactivity after myocardial infarction: a randomized clinical trial.

    Dalçóquio, Talia Falcão / Alves Dos Santos, Mayara / Silva Alves, Leandro / Bittar Brito Arantes, Flávia / Ferreira-Santos, Larissa / Pinto Brandão Rondon, Maria Urbana / Furtado, Remo Holanda M / Gehlen Ferrari, Aline / Genestreti Rizzo, Paulo Roberto / Salsoso, Rocio / Franci, Andre / Moreira Baracioli, Luciano / de Nazare Nunes Alves, Maria Janieire / Negrão, Carlos Eduardo / Nicolau, José Carlos

    Platelets

    2022  Volume 34, Issue 1, Page(s) 2139821

    Abstract: Exercise training (ET) can lower platelet reactivity in patients with cardiovascular risk factors. However, the effects of ET on platelet reactivity in higher-risk patients is unknown. The aim of this study was to evaluate the effects of ET on platelet ... ...

    Abstract Exercise training (ET) can lower platelet reactivity in patients with cardiovascular risk factors. However, the effects of ET on platelet reactivity in higher-risk patients is unknown. The aim of this study was to evaluate the effects of ET on platelet reactivity in patients with recent myocardial infarction (MI). Ninety patients were randomly assigned 1 month post-MI to the intervention (patients submitted to a supervised ET program) or control group. All patients were on dual antiplatelet therapy (DAPT). Platelet reactivity by VerifyNow-P2Y
    MeSH term(s) Male ; Humans ; Middle Aged ; Aged ; Female ; Platelet Aggregation Inhibitors/adverse effects ; Blood Platelets ; Myocardial Infarction/drug therapy ; Aspirin/adverse effects ; Adenosine Diphosphate/pharmacology ; Percutaneous Coronary Intervention/adverse effects ; Platelet Aggregation
    Chemical Substances Platelet Aggregation Inhibitors ; Aspirin (R16CO5Y76E) ; Adenosine Diphosphate (61D2G4IYVH)
    Language English
    Publishing date 2022-11-14
    Publishing country England
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 1034283-7
    ISSN 1369-1635 ; 0953-7104
    ISSN (online) 1369-1635
    ISSN 0953-7104
    DOI 10.1080/09537104.2022.2139821
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  5. Article: HDL proteome remodeling associates with COVID-19 severity.

    Souza Junior, Douglas Ricardo / Silva, Amanda Ribeiro Martins / Rosa-Fernandes, Livia / Reis, Lorenna Rocha / Alexandria, Gabrielly / Bhosale, Santosh D / Ghilardi, Fabio de Rose / Dalçóquio, Talia Falcão / Bertolin, Adriadne Justi / Nicolau, José Carlos / Marinho, Claudio R F / Wrenger, Carsten / Larsen, Martin R / Siciliano, Rinaldo Focaccia / Di Mascio, Paolo / Palmisano, Giuseppe / Ronsein, Graziella Eliza

    Journal of clinical lipidology

    2021  Volume 15, Issue 6, Page(s) 796–804

    Abstract: Background: Besides the well-accepted role in lipid metabolism, high-density lipoprotein (HDL) also seems to participate in host immune response against infectious diseases.: Objective: We used a quantitative proteomic approach to test the hypothesis ...

    Abstract Background: Besides the well-accepted role in lipid metabolism, high-density lipoprotein (HDL) also seems to participate in host immune response against infectious diseases.
    Objective: We used a quantitative proteomic approach to test the hypothesis that alterations in HDL proteome associate with severity of Coronavirus disease 2019 (COVID-19).
    Methods: Based on clinical criteria, subjects (n=41) diagnosed with COVID-19 were divided into two groups: a group of subjects presenting mild symptoms and a second group displaying severe symptoms and requiring hospitalization. Using a proteomic approach, we quantified the levels of 29 proteins in HDL particles derived from these subjects.
    Results: We showed that the levels of serum amyloid A 1 and 2 (SAA1 and SAA2, respectively), pulmonary surfactant-associated protein B (SFTPB), apolipoprotein F (APOF), and inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4) were increased by more than 50% in hospitalized patients, independently of sex, HDL-C or triglycerides when comparing with subjects presenting only mild symptoms. Altered HDL proteins were able to classify COVID-19 subjects according to the severity of the disease (error rate 4.9%). Moreover, apolipoprotein M (APOM) in HDL was inversely associated with odds of death due to COVID-19 complications (odds ratio [OR] per 1-SD increase in APOM was 0.27, with 95% confidence interval [CI] of 0.07 to 0.72, P=0.007).
    Conclusion: Our results point to a profound inflammatory remodeling of HDL proteome tracking with severity of COVID-19 infection. They also raise the possibility that HDL particles could play an important role in infectious diseases.
    MeSH term(s) Adult ; Apolipoproteins/blood ; COVID-19/blood ; COVID-19/pathology ; Cholesterol, HDL/blood ; Female ; Humans ; Lipoproteins, HDL/blood ; Male ; Mass Spectrometry ; Middle Aged ; Proteomics ; Serum Amyloid A Protein/metabolism ; Triglycerides/blood
    Chemical Substances Apolipoproteins ; Cholesterol, HDL ; Lipoproteins, HDL ; Serum Amyloid A Protein ; Triglycerides ; apolipoprotein F
    Language English
    Publishing date 2021-10-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2365061-8
    ISSN 1876-4789 ; 1933-2874
    ISSN (online) 1876-4789
    ISSN 1933-2874
    DOI 10.1016/j.jacl.2021.10.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Skin imprints to provide noninvasive metabolic profiling of COVID-19 patients

    Delafiori, Jeany / Siciliano, Rinaldo Focaccia / de Oliveira, Arthur Noin / Nicolau, José Carlos / Sales, Geovana Manzan / Dalçóquio, Talia Falcão / Busanello, Estela Natacha Brandt / Eguti, Adriana / de Oliveira, Diogo Noin / Bertolin, Adriadne Justi / dos Santos, Luiz Augusto / Salsoso, Rocío / Marcondes-Braga, Fabiana G / Durán, Nelson / Perroud, Maurício Wesley / Sabino, Ester Cerdeira / Reis, Leonardo Oliveira / Fávaro, Wagner José / Catharino, Rodrigo Ramos

    medRxiv

    Abstract: As the current COVID-19 pandemic progresses, more symptoms and signals related to how the disease manifests in the human body arise in the literature. Skin lesions and coagulopathies may be confounding factors on routine care and patient management. We ... ...

    Abstract As the current COVID-19 pandemic progresses, more symptoms and signals related to how the disease manifests in the human body arise in the literature. Skin lesions and coagulopathies may be confounding factors on routine care and patient management. We analyzed the metabolic and lipidic profile of the skin from COVID-19 patients using imprints in silica plates as a non-invasive alternative, in order to better understand the biochemical disturbances caused by SARS-CoV-2 in the skin. One hundred and one patients (64 COVID-19 positive patients and 37 control patients) were enrolled in the study from April 2020 to June 2020 during the first wave of COVID-19 in São Paulo, Brazil. Fourteen biomarkers were identified related to COVID-19 infection (7 increased and 7 decreased in COVID-19 patients). Remarkably, oleamide has shown promising performance, providing 79.0% of sensitivity on a receiver operating characteristic curve model. Species related to coagulation and immune system maintenance such as phosphatidylserines were decreased in COVID-19 patients; on the other hand, cytokine storm and immunomodulation may be affected by molecules increased in the COVID-19 group, particularly primary fatty acid amides and N-acylethanolamines, which are part of the endocannabinoid system. Our results show that skin imprints may be a useful, noninvasive strategy for COVID-19 screening, by electing a pool of biomarkers with diagnostic potential.
    Keywords covid19
    Language English
    Publishing date 2021-04-20
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.04.17.21255518
    Database COVID19

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  7. Article ; Online: Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning.

    Delafiori, Jeany / Navarro, Luiz Cláudio / Siciliano, Rinaldo Focaccia / de Melo, Gisely Cardoso / Busanello, Estela Natacha Brandt / Nicolau, José Carlos / Sales, Geovana Manzan / de Oliveira, Arthur Noin / Val, Fernando Fonseca Almeida / de Oliveira, Diogo Noin / Eguti, Adriana / Dos Santos, Luiz Augusto / Dalçóquio, Talia Falcão / Bertolin, Adriadne Justi / Abreu-Netto, Rebeca Linhares / Salsoso, Rocio / Baía-da-Silva, Djane / Marcondes-Braga, Fabiana G / Sampaio, Vanderson Souza /
    Judice, Carla Cristina / Costa, Fabio Trindade Maranhão / Durán, Nelson / Perroud, Mauricio Wesley / Sabino, Ester Cerdeira / Lacerda, Marcus Vinicius Guimarães / Reis, Leonardo Oliveira / Fávaro, Wagner José / Monteiro, Wuelton Marcelo / Rocha, Anderson Rezende / Catharino, Rodrigo Ramos

    Analytical chemistry

    2021  Volume 93, Issue 4, Page(s) 2471–2479

    Abstract: COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary ... ...

    Abstract COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study enrolled 815 patients (442 COVID-19, 350 controls and 23 COVID-19 suspicious) from three Brazilian epicenters from April to July 2020. We were able to elect and identify 19 molecules related to the disease's pathophysiology and several discriminating features to patient's health-related outcomes. The method applied for COVID-19 diagnosis showed specificity >96% and sensitivity >83%, and specificity >80% and sensitivity >85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings with the disease's pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using machine learning algorithms, transforming this screening approach in a tool with great potential for real-world application.
    MeSH term(s) Adult ; Aged ; Automation ; Biomarkers/metabolism ; Brazil ; COVID-19/diagnosis ; COVID-19/virology ; Female ; Humans ; Machine Learning ; Male ; Metabolomics ; Middle Aged ; Risk Assessment ; SARS-CoV-2/isolation & purification
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-01-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.0c04497
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  8. Article ; Online: Brazilian Society of Cardiology Guidelines on Unstable Angina and Acute Myocardial Infarction without ST-Segment Elevation - 2021.

    Nicolau, José Carlos / Feitosa Filho, Gilson Soares / Petriz, João Luiz / Furtado, Remo Holanda de Mendonça / Précoma, Dalton Bertolim / Lemke, Walmor / Lopes, Renato Delascio / Timerman, Ari / Marin Neto, José A / Bezerra Neto, Luiz / Gomes, Bruno Ferraz de Oliveira / Santos, Eduardo Cavalcanti Lapa / Piegas, Leopoldo Soares / Soeiro, Alexandre de Matos / Negri, Alexandre Jorge de Andrade / Franci, Andre / Markman Filho, Brivaldo / Baccaro, Bruno Mendonça / Montenegro, Carlos Eduardo Lucena /
    Rochitte, Carlos Eduardo / Barbosa, Carlos José Dornas Gonçalves / Virgens, Cláudio Marcelo Bittencourt das / Stefanini, Edson / Manenti, Euler Roberto Fernandes / Lima, Felipe Gallego / Monteiro Júnior, Francisco das Chagas / Correa Filho, Harry / Pena, Henrique Patrus Mundim / Pinto, Ibraim Masciarelli Francisco / Falcão, João Luiz de Alencar Araripe / Sena, Joberto Pinheiro / Peixoto, José Maria / Souza, Juliana Ascenção de / Silva, Leonardo Sara da / Maia, Lilia Nigro / Ohe, Louis Nakayama / Baracioli, Luciano Moreira / Dallan, Luís Alberto de Oliveira / Dallan, Luis Augusto Palma / Mattos, Luiz Alberto Piva E / Bodanese, Luiz Carlos / Ritt, Luiz Eduardo Fonteles / Canesin, Manoel Fernandes / Rivas, Marcelo Bueno da Silva / Franken, Marcelo / Magalhães, Marcos José Gomes / Oliveira Júnior, Múcio Tavares de / Filgueiras Filho, Nivaldo Menezes / Dutra, Oscar Pereira / Coelho, Otávio Rizzi / Leães, Paulo Ernesto / Rossi, Paulo Roberto Ferreira / Soares, Paulo Rogério / Lemos Neto, Pedro Alves / Farsky, Pedro Silvio / Cavalcanti, Rafael Rebêlo C / Alves, Renato Jorge / Kalil, Renato Abdala Karam / Esporcatte, Roberto / Marino, Roberto Luiz / Giraldez, Roberto Rocha Corrêa Veiga / Meneghelo, Romeu Sérgio / Lima, Ronaldo de Souza Leão / Ramos, Rui Fernando / Falcão, Sandra Nivea Dos Reis Saraiva / Dalçóquio, Talia Falcão / Lemke, Viviana de Mello Guzzo / Chalela, William Azem / Mathias Júnior, Wilson

    Arquivos brasileiros de cardiologia

    2021  Volume 117, Issue 1, Page(s) 181–264

    Title translation Diretrizes da Sociedade Brasileira de Cardiologia sobre Angina Instável e Infarto Agudo do Miocárdio sem Supradesnível do Segmento ST – 2021.
    MeSH term(s) Angina, Unstable/diagnosis ; Angina, Unstable/therapy ; Brazil ; Cardiology ; Electrocardiography ; Humans ; Myocardial Infarction/therapy
    Language Portuguese
    Publishing date 2021-08-03
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 730261-7
    ISSN 1678-4170 ; 0066-782X
    ISSN (online) 1678-4170
    ISSN 0066-782X
    DOI 10.36660/abc.20210180
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  9. Article ; Online: Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine-Learning

    Delafiori, Jeany / Navarro, Luiz Claudio / Siciliano, Rinaldo Focaccia / de Melo, Gisely Cardoso / Busanello, Estela Natacha Brandt / Nicolau, José Carlos / Sales, Geovana Manzan / de Oliveira, Arthur Noin / Val, Fernando Fonseca Almeida / de Oliveira, Diogo Noin / Eguti, Adriana / dos Santos, Luiz Augusto / Dalçóquio, Talia Falcão / Bertolin, Adriadne Justi / Alonso, João Carlos Cardoso / Abreu-Netto, Rebeca Linhares / Salsoso, Rocio / Baía-da-Silva, Djane / Sampaio, Vanderson Souza /
    Judice, Carla Cristina / Costa, Fabio Maranhão Trindade / Durán, Nelson / Perroud, Maurício Wesley / Sabino, Ester Cerdeira / Lacerda, Marcus Vinicius Guimarães / Reis, Leonardo Oliveira / Fávaro, Wagner José / Monteiro, Wuelton Marcelo / Rocha, Anderson Rezende / Catharino, Rodrigo Ramos

    medRxiv

    Abstract: COVID-19 is still placing a heavy health and financial burden worldwide. Impairments in patient screening and risk management play a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary ... ...

    Abstract COVID-19 is still placing a heavy health and financial burden worldwide. Impairments in patient screening and risk management play a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with instrumental analysis using mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cohort of 728 patients (369 confirmed COVID-19 and 359 controls) was enrolled from three Brazilian epicentres (Sao Paulo capital, Sao Paulo countryside and Manaus) in the months of April, May, June and July 2020. We were able to elect and identify 21 molecules that are related to the disease9s pathophysiology and 26 features to patient9s health-related outcomes. With specificity >97% and sensitivity >83% from blinded data, this screening approach is understood as a tool with great potential for real-world application.
    Keywords covid19
    Language English
    Publishing date 2020-07-27
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.07.24.20161828
    Database COVID19

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