Selected article for: "cohort study and disease course"
Author: Kieninger, Martin; Sinning, Annemarie; Vadász, Timea; Gruber, Michael; Gronwald, Wolfram; Zeman, Florian; Lunz, Dirk; Dienemann, Thomas; Schmid, Stephan; Graf, Bernhard; Lubnow, Matthias; Müller, Thomas; Holzmann, Thomas; Salzberger, Bernd; Kieninger, Bärbel
Title: Lower blood pH as a strong prognostic factor for fatal outcomes in critically ill COVID-19 patients at an intensive care unit: A multivariable analysis
  • Cord-id: 1lirucqj
  • Document date: 2021_9_29
    • ID: 1lirucqj
    Snippet: BACKGROUND: Data of critically ill COVID-19 patients are being evaluated worldwide, not only to understand the various aspects of the disease and to refine treatment strategies but also to improve clinical decision-making. For clinical decision-making in particular, prognostic factors of a lethal course of the disease would be highly relevant. METHODS: In this retrospective cohort study, we analyzed the first 59 adult critically ill Covid-19 patients treated in one of the intensive care units of
    Document: BACKGROUND: Data of critically ill COVID-19 patients are being evaluated worldwide, not only to understand the various aspects of the disease and to refine treatment strategies but also to improve clinical decision-making. For clinical decision-making in particular, prognostic factors of a lethal course of the disease would be highly relevant. METHODS: In this retrospective cohort study, we analyzed the first 59 adult critically ill Covid-19 patients treated in one of the intensive care units of the University Medical Center Regensburg, Germany. Using uni- and multivariable regression models, we extracted a set of parameters that allowed for prognosing in-hospital mortality. RESULTS: Within the cohort, 19 patients died (mortality 32.2%). Blood pH value, mean arterial pressure, base excess, troponin, and procalcitonin were identified as highly significant prognostic factors of in-hospital mortality. However, no significant differences were found for other parameters expected to be relevant prognostic factors, like low arterial partial pressure of oxygen or high lactate levels. In the multivariable logistic regression analysis, the pH value and the mean arterial pressure turned out to be the most influential prognostic factors for a lethal course.

    Search related documents:
    Co phrase search for related documents
    • acetylsalicylic acid and acute respiratory syndrome coronavirus: 1, 2
    • acetylsalicylic acid and lmwh molecular weight heparin: 1, 2
    • acetylsalicylic acid and logistic regression analysis: 1, 2
    • acute aki kidney injury and admission day: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • acute aki kidney injury and liver bilirubin: 1
    • acute aki kidney injury and lmwh molecular weight heparin: 1, 2
    • acute aki kidney injury and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute aki kidney injury and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • acute physiology score and admission day: 1, 2, 3, 4, 5
    • acute physiology score and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • acute physiology score and logistic regression model: 1
    • acute respiratory syndrome and admission day: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory syndrome and admission positive result: 1, 2, 3
    • acute respiratory syndrome and liver bilirubin: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • acute respiratory syndrome and lmwh molecular weight heparin: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • acute respiratory syndrome and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory syndrome coronavirus and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory syndrome coronavirus and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25