Selected article for: "acute respiratory cough and ARDS distress syndrome acute respiratory cough"
Author: Cappellano, Giuseppe; Raineri, Davide; Rolla, Roberta; Giordano, Mara; Puricelli, Chiara; Vilardo, Beatrice; Manfredi, Marcello; Cantaluppi, Vincenzo; Sainaghi, Pier Paolo; Castello, Luigi; De Vita, Nello; Scotti, Lorenza; Vaschetto, Rosanna; Dianzani, Umberto; Chiocchetti, Annalisa
Title: Circulating Platelet-Derived Extracellular Vesicles Are a Hallmark of Sars-Cov-2 Infection
  • Cord-id: 13d1jq2x
  • Document date: 2021_1_7
    • ID: 13d1jq2x
    Snippet: Sars-Cov-2 infection causes fever and cough that may rapidly lead to acute respiratory distress syndrome (ARDS). Few biomarkers have been identified but, unfortunately, these are individually poorly specific, and novel biomarkers are needed to better predict patient outcome. The aim of this study was to evaluate the diagnostic performance of circulating platelets (PLT)-derived extracellular vesicles (EVs) as biomarkers for Sars-Cov-2 infection, by setting a rapid and reliable test on unmanipulat
    Document: Sars-Cov-2 infection causes fever and cough that may rapidly lead to acute respiratory distress syndrome (ARDS). Few biomarkers have been identified but, unfortunately, these are individually poorly specific, and novel biomarkers are needed to better predict patient outcome. The aim of this study was to evaluate the diagnostic performance of circulating platelets (PLT)-derived extracellular vesicles (EVs) as biomarkers for Sars-Cov-2 infection, by setting a rapid and reliable test on unmanipulated blood samples. PLT-EVs were quantified by flow cytometry on two independent cohorts of Sars-CoV-2+ (n = 69), Sars-Cov-2− (n = 62) hospitalized patients, and healthy controls. Diagnostic performance of PLT-EVs was evaluated by receiver operating characteristic (ROC) curve. PLT-EVs count were higher in Sars-Cov-2+ compared to Sars-Cov-2− patients or HC. ROC analysis of the combined cohorts showed an AUC = 0.79 and an optimal cut-off value of 1472 EVs/μL, with 75% sensitivity and 74% specificity. These data suggest that PLT-EVs might be an interesting biomarker deserving further investigations to test their predictive power.

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