Non-Interventional Studies

10 January, 2023

SAVE-LONG

2023-05-22T14:50:00+03:00By |Categories: Non-Interventional, Ongoing, Sepsis and severe infections, Studies|Tags: |

Ongoing study Official Study Title Symptom-guided Anakinra treatment for the Validation of immunE dysfunction persisting for LONG after hospital discharge for COVID-19 (SAVE-LONG) Brief Description SAVE-LONG is a call to the development of diagnostic tools and therapeutic modalities for patients with Long-COVID Syndrome. Details Status: ongoing Study Type: Non-interventional Study phase: II &

1 October, 2017

INTELLIGENCE-1

2023-01-09T12:10:28+03:00By |Categories: Completed, Non-Interventional, Sepsis and severe infections, Studies|Tags: |

Completed study Official Study Title INTEgration of clinicaL and Laboratory Information to GENerate technological advanCE for the diagnosis of sepsis Brief Description INTELLIGENCE-1 is a non-interventional trial to validate the diagnostic accuracy of HemoSpec in the diagnosis of sepsis. HemoSpec is a device that integrates information of whole blood cell count, Raman spectra of

1 September, 2017

PROMPT

2023-01-09T12:10:01+03:00By |Categories: Completed, Non-Interventional, Sepsis and severe infections, Studies|Tags: |

Completed study Official Study Title Prospective Multi-centre Clinical Study to Assess the Clinical Validity of the Heparin Binding Protein Assay to Indicate the Presence and Outcome of Sepsis in Patients With Suspected Infection Following Emergency Department Admission Brief Description PROMPT is a non-interventional trial aiming to validate the diagnostic accuracy of Heparin Binding Protein

1 October, 2015

SPECIFY

2023-01-09T12:09:35+03:00By |Categories: Completed, Non-Interventional, Sepsis and severe infections, Studies|Tags: |

Completed study Official Study Title Scoring PErsonalized needs in Clostridium difficile Infections for Fidaxomixin therapY Brief Description The SPECIFY study is a non-interventional study aiming to develop a complex score composed by clinical data, genomic data and protein biomarkers to early predict patients with infection by Clostridium difficile at high likelihood to develop organ

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