Sepsis Clinical Trial
— DigiSepOfficial title:
Optimization of Sepsis Therapy Based on Patient-specific Digital Precision Diagnostics
Sepsis is triggered by an infection and represents one of the greatest challenges of modern intensive care medicine. With regard to a targeted antimicrobial treatment strategy, the earliest possible pathogen detection is of crucial importance. Until now, culture-based detection methods represent the diagnostic gold standard, although they are characterized by numerous limitations. Culture-independent molecular diagnostic procedures may represent a promising alternative. In particular, the concept of plasmatic detection of circulating, free DNA employing next-generation sequencing (NGS) has shown to be suitable for the detection of disease-causing pathogens in patients with bloodstream infections. The DigiSep-Trial is a randomized, controlled, interventional, multicenter trial to characterize the effect of the combination of NGS-based digital precision diagnostics, standard-of-care microbiological analyses and optional expert exchanges compared to solely standard-of-care microbiological analyses in the clinical picture of sepsis / septic shock. The study examines in 410 patients (n = 205 per arm) with sepsis / septic shock whether the so-called DOOR-RADAR (Desirability of Outcome Ranking / Response Adjusted for Duration of Antibiotic Risk) score (representing a combined endpoint including the criteria (1) inpatient admission time, (2) consumption of antibiotics, (3) mortality and (4) acute renal failure (ARF)) can be significantly improved, by application of an additional NGS-based diagnostic concept. We also aim to investigate whether the new diagnostic procedure is cost-effective. It is postulated that the inpatient admission time, mortality rate, incidence of ARF, the duration of antimicrobial therapy as well as the costs of complications and outpatient aftercare can be reduced. Moreover, a significant improvement in the quality of life (QoL) of the affected patients can be expected. Extensive preparatory work suggests that NGS-based diagnostics have higher specificity and sensitivity compared to standard-of-care microbiological analyses for detecting bloodstream infections. This preliminary work for the DigiSep-Trial with the help of an interventional study design provides the optimal basis to establish this new concept as part of the national standard based on the best possible evidence.
Status | Recruiting |
Enrollment | 410 |
Est. completion date | August 31, 2024 |
Est. primary completion date | February 28, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - All patients who develop sepsis or septic shock within < 24 h in accordance with the new sepsis definition (Sepsis-3) in the above-mentioned participating centers and consent to participation in the study will be included. General inclusion criteria: - Written consent by the study participant or a legally appointed representative - Age >18 years Sepsis: - Life-threatening organ dysfunction due to a dysregulated immune response on the basis of a suspected or proven infection - Detection of organ dysfunction indicated by SOFA score of = 2 points Alternative: Change of the quick (q) SOFA score of 2 points as an indication of a sepsis Or septic shock: - Persistent hypotension despite adequate volume substitution, which necessitates the use of vasopressors, to maintain an arterial medium pressure of > 65 mmHg - Serum lactate > 2 mmol/l (18 mg/dl) Exclusion Criteria: - Age < 18 years - Refusal to participate in the study - Probable discharge of the patient from the intensive care unit within the first 72 h of initial study inclusion - Palliative therapy approach - Death of the patient is already foreseeable or inevitable at trial inclusion - Patients who have already been included in the study but require re-admission to the intensive care unit cannot be included a second |
Country | Name | City | State |
---|---|---|---|
Germany | University Hospital Aachen | Aachen | Nordrhein-Westfalen |
Germany | University Hospital Charité | Berlin | |
Germany | Klinik Evangelisches Krankenhaus Bethel gGmbH Bielefeld | Bielefeld | Nordrhein-Westfalen |
Germany | University Hospital Bonn | Bonn | Nordrhein-Westfalen |
Germany | University Hospital Düsseldorf | Düsseldorf | Nordrhein-Westfalen |
Germany | University Hospital Essen | Essen | Nordrhein-Westfalen |
Germany | University Hospital Frankfurt | Frankfurt | Hessen |
Germany | University Hospital Göttingen | Göttingen | Niedersachsen |
Germany | University Hospital Hannover (MHH) | Hannover | Niedersachsen |
Germany | University Hospital Heidelberg | Heidelberg | Baden-Württemberg |
Germany | Heidenheim Hospital | Heidenheim | Baden-Württemberg |
Germany | University Hospital Köln | Köln | Nordrhein-Westfalen |
Germany | Konstanz Hospital | Konstanz | Baden-Württemberg |
Germany | University Hospital Leipzig | Leipzig | Sachsen |
Germany | Klinik Evangelisches Krankenhaus Luckau gGmbH | Luckau | Brandenburg |
Germany | University Hospital TU München | München | Bayern |
Germany | University Hospital Regensburg | Regensburg | Bayern |
Germany | University Hospital Rostock | Rostock | Mecklenburg-Vorpommern |
Germany | University Hospital Tübingen | Tübingen | Baden-Württemberg |
Germany | University Hospital Ulm | Ulm | Baden-Württemberg |
Germany | Helios Dr. Horst Schmidt Hospital | Wiesbaden | Hessen |
Germany | University Hospital Würzburg | Würzburg | Bayern |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Essen | AOK Health Insurance, Rheinland, Hamburg, Barmer Health Insurance, Germany, Center for Infectious Diseases and Infection Control, Jena University Hospital, Coordination Centre for Clinical Trials (KKS), University of Heidelberg, Department of Anesthesiology, Heidelberg University Hospital, Department of Infectious Diseases, University Hospital Essen, Health Economics and Health Care Management, Bielefeld University, Institute of Medical Biometry and Informatics, University of Heidelberg, Noscendo GmbH, Germany, Techniker Health Insurance, Germany |
Germany,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Desirability of Outcome Ranking / Response Adjusted for Duration of Antibiotic Risk-Score | DOOR/RADAR-score [points], (min. 1, max. 5), a lower score indicates a better outcome | 28 days | |
Secondary | Disease severity | Long term mortality [%] | at 90 and 180 days | |
Secondary | Disease severity | Hospital length of stay [days] | at 28, 90, and 180 days | |
Secondary | Degree of organ dysfunction/-failure | Duration of mechanical ventilation [days] | at 28, 90, and 180 days | |
Secondary | Degree of organ dysfunction/-failure | Length of time until shock resolution [hours] | during 28 days | |
Secondary | Degree of organ dysfunction/-failure | Ongoing need for renal replacement therapy [%] | at 28, 90, and 180 days | |
Secondary | Microbiological outcome | Cumulative need for anti-infective drugs [days] | at 28, 90, and 180 days | |
Secondary | Microbiological outcome | Beginning of a targeted anti-infective treatment regimen [days] | during 28 days | |
Secondary | Health economic outcome | Utilization of healthcare ressources (outpatient and inpatient) [Euro] | at 28, 90, and 180 days | |
Secondary | Health economic outcome | Policyholder costs (outpatient and inpatient) [Euro] | at 28, 90, and 180 days | |
Secondary | Economic outcome | Disease-related absence from work [days] | at 28, 90, and 180 days | |
Secondary | Quality-of-life (QoL) based on VR-36 questionnaire | VR-36 questionnaire [points] including 2 summary components, 8 scales, 36 items, a higher score indicates a higher Quality-of-Life (QoL) | 90 and 180 days | |
Secondary | Quality-of-life (QoL) based on EQ-5D-5L questionnaire | EQ-5D-5L questionnaire [points] including 10 items, a higher score indicates a higher Quality-of-Life (QoL) | at 0, 90 and 180 days |
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