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  1. AU="Tomi Kovacevic"
  2. AU="Claire Hivroz"
  3. AU=Huang L E
  4. AU="More, Jessica"
  5. AU="Eliot, George"
  6. AU="Choi, Kati"
  7. AU="Wiese, Lothar"
  8. AU=Rackova Sylva AU=Rackova Sylva
  9. AU="Akala, Isiaka Olusola"
  10. AU="Nicolás Gonzalo Núñez"
  11. AU="Hernández Solis, Alejandro"
  12. AU="Jadad, Alejandro R"
  13. AU="Lastres, Palma Rico" AU="Lastres, Palma Rico"
  14. AU="Manes, K"
  15. AU="Baugh, Matthew"
  16. AU="Qu, C"
  17. AU="Flett, Heather"
  18. AU="Shueh Lin Lim"
  19. AU="Schröder, Johann"
  20. AU=Butler Taylor
  21. AU="Yang, Fan"
  22. AU="Giacomo Frati"
  23. AU=Kokhaei P
  24. AU="Charikleia Triantopoulou"
  25. AU="Salil Bhargava"
  26. AU="Jong-Eun Lee"
  27. AU="Vargas C, Laura"

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  1. Artikel ; Online: Interleukin-6 and procalcitonin as biomarkers in mortality prediction of hospitalized patients with community acquired pneumonia

    Ilija Andrijevic / Jovan Matijasevic / Ljiljana Andrijevic / Tomi Kovacevic / Bojan Zaric

    Annals of Thoracic Medicine, Vol 9, Iss 3, Pp 162-

    2014  Band 167

    Abstract: Introduction: Community acquired pneumonia (CAP) may present as life-threatening infection with uncertain progression and outcome of treatment. Primary aim of the trial was determination of the cut-off value of serum interleukin-6 (IL-6) and ... ...

    Abstract Introduction: Community acquired pneumonia (CAP) may present as life-threatening infection with uncertain progression and outcome of treatment. Primary aim of the trial was determination of the cut-off value of serum interleukin-6 (IL-6) and procalcitonin (PCT) above which, 30-day mortality in hospitalized patients with CAP, could be predicted with high sensitivity and specificity. We investigated correlation between serum levels of IL-6 and PCT at admission and available scoring systems of CAP (pneumonia severity index-PSI, modified early warning score-MEWS and (Confusion, Urea nitrogen, respiratory rate, Blood pressure, ≥65 years of age-CURB65). Methods: This was prospective, non-randomized trial which included 101 patients with diagnosed CAP. PSI, MEWS and CURB65 were assessed on first day of hospitalization. IL-6 and PCT were also sampled on the first day of hospitalization. Results: Based on ROC curve analysis (AUC ± SE = 0.934 ± 0.035; 95%CI(0.864-1.0); P = 0.000) hospitalized CAP patients with elevated IL-6 level have 93.4% higher risk level for lethal outcome. Cut-off value of 20.2 pg/ml IL-6 shows sensitivity of 84% and specificity of 87% in mortality prediction. ROC curve analysis confirmed significant role of procalcitonin as a mortality predictor in CAP patients (AUC ± SE = 0.667 ± 0.062; 95%CI(0.546-0.789); P = 0.012). Patients with elevated PCT level have 66.7% higher risk level for lethal outcome. As a predictor of mortality at the cut-off value of 2.56 ng/ml PCT shows sensitivity of 76% and specificity of 61.8%. Conclusions: Both IL-6 and PCI are significant for prediction of 30-day mortality in hospitalized patients with CAP. Serum levels of IL6 correlate with major CAP scoring systems.
    Schlagwörter Community acquired pneumonia ; interleukin-6 ; mortality ; procalcitonin ; risk assessment ; Diseases of the respiratory system ; RC705-779 ; Specialties of internal medicine ; RC581-951 ; Internal medicine ; RC31-1245 ; Medicine ; R
    Thema/Rubrik (Code) 610 ; 310
    Sprache Englisch
    Erscheinungsdatum 2014-01-01T00:00:00Z
    Verlag Medknow Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Interleukin-6 and procalcitonin as biomarkers in mortality prediction of hospitalized patients with community acquired pneumonia

    Ilija Andrijevic / Jovan Matijasevic / Ljiljana Andrijevic / Tomi Kovacevic / Bojan Zaric

    Annals of Thoracic Medicine, Vol 9, Iss 3, Pp 162-

    2014  Band 167

    Abstract: Introduction: Community acquired pneumonia (CAP) may present as life-threatening infection with uncertain progression and outcome of treatment. Primary aim of the trial was determination of the cut-off value of serum interleukin-6 (IL-6) and ... ...

    Abstract Introduction: Community acquired pneumonia (CAP) may present as life-threatening infection with uncertain progression and outcome of treatment. Primary aim of the trial was determination of the cut-off value of serum interleukin-6 (IL-6) and procalcitonin (PCT) above which, 30-day mortality in hospitalized patients with CAP, could be predicted with high sensitivity and specificity. We investigated correlation between serum levels of IL-6 and PCT at admission and available scoring systems of CAP (pneumonia severity index-PSI, modified early warning score-MEWS and (Confusion, Urea nitrogen, respiratory rate, Blood pressure, ≥65 years of age-CURB65). Methods: This was prospective, non-randomized trial which included 101 patients with diagnosed CAP. PSI, MEWS and CURB65 were assessed on first day of hospitalization. IL-6 and PCT were also sampled on the first day of hospitalization. Results: Based on ROC curve analysis (AUC ± SE = 0.934 ± 0.035; 95%CI(0.864-1.0); P = 0.000) hospitalized CAP patients with elevated IL-6 level have 93.4% higher risk level for lethal outcome. Cut-off value of 20.2 pg/ml IL-6 shows sensitivity of 84% and specificity of 87% in mortality prediction. ROC curve analysis confirmed significant role of procalcitonin as a mortality predictor in CAP patients (AUC ± SE = 0.667 ± 0.062; 95%CI(0.546-0.789); P = 0.012). Patients with elevated PCT level have 66.7% higher risk level for lethal outcome. As a predictor of mortality at the cut-off value of 2.56 ng/ml PCT shows sensitivity of 76% and specificity of 61.8%. Conclusions: Both IL-6 and PCI are significant for prediction of 30-day mortality in hospitalized patients with CAP. Serum levels of IL6 correlate with major CAP scoring systems.
    Schlagwörter Community acquired pneumonia ; interleukin-6 ; mortality ; procalcitonin ; risk assessment ; Diseases of the respiratory system ; RC705-779 ; Specialties of internal medicine ; RC581-951 ; Internal medicine ; RC31-1245 ; Medicine ; R
    Thema/Rubrik (Code) 610 ; 310
    Sprache Englisch
    Erscheinungsdatum 2014-01-01T00:00:00Z
    Verlag Medknow Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: FAIR4Health

    Christian Lovis / Christophe Gaudet-Blavignac / Miriam Quintero / Patrick Weber / Kevin Ashley / Manuel M. Perez-Perez / Carlos Luis Parra Calderón / Laurence Horton / Celia Alvarez-Romero / A. Anil Sinaci / Alicia Martínez-García / Eva Méndez / Mert Gencturk / Rosa Liperoti / Tony Hernández-Pérez / Matthias Löbe / Carmen Angioletti / Thomas M. Deserno / Nagarajan Ganapathy /
    Elisio Costa / Marta Almada / Giorgio Cangioli / Catherine Chronaki / Beatriz Poblador-Plou / Ronald Cornet / Antonio Gimeno-Miguel / Jonás Carmona-Pírez / Alexandra Prados-Torres / Antonio Poncel-Falcó / Bojan Zaric / Tomi Kovacevic / Sanja Hromis / Darijo Bokan / Carlos Rapallo Fernández / Jelena Djekic Malbasa / Jessica Rochat / Teresa Velázquez Fernández

    Open Research Europe, Vol

    Findable, Accessible, Interoperable and Reusable data to foster Health Research [version 2; peer review: 1 approved, 2 approved with reservations]

    2022  Band 2

    Abstract: Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the ... ...

    Abstract Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators’ performance.
    Schlagwörter FAIR principles ; health research data management ; HL7 FHIR ; health data ; data sharing ; data reuse ; eng ; Science ; Q ; Social Sciences ; H
    Thema/Rubrik (Code) 306
    Sprache Englisch
    Erscheinungsdatum 2022-05-01T00:00:00Z
    Verlag F1000 Research Ltd
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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