Optimization of sepsis therapy based on patient-specific digital precision diagnostics using next generation sequencing (DigiSep-Trial)—study protocol for a randomized, controlled, interventional, open-label, multicenter trial

Affiliation
Department of Anesthesiology and Intensive Care Medicine, Essen University Hospital, University Duisburg-Essen, Essen, Germany
Brenner, Thorsten;
Affiliation
Department of Anesthesiology and Intensive Care Medicine, Essen University Hospital, University Duisburg-Essen, Essen, Germany
Skarabis, Annabell;
Affiliation
Noscendo GmbH, Duisburg, Germany
Stevens, Philip;
Affiliation
Noscendo GmbH, Duisburg, Germany
Axnick, Jennifer;
Affiliation
Noscendo GmbH, Duisburg, Germany
Haug, Peter;
Affiliation
Noscendo GmbH, Duisburg, Germany
Grumaz, Silke;
Affiliation
Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany
Bruckner, Thomas;
Affiliation
Coordination Centre for Clinical Trials (KKS), Ruprecht-Karls-University, Heidelberg, Germany
Luntz, Steffen;
Affiliation
Department of Infectious Diseases, University Hospital Essen, University Duisburg-Essen, Essen, Germany
Witzke, Oliver;
GND
123964334
Affiliation
Center for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany
Pletz, Mathias W.;
Affiliation
Techniker Krankenkasse, Hamburg, Germany
Ruprecht, Thomas M.;
Affiliation
BARMER, Wuppertal, Germany
Marschall, Ursula;
Affiliation
AOK Rheinland/Hamburg, Düsseldorf, Germany
Altin, Sibel;
Affiliation
Health Economics and Health Care Management, Bielefeld University, Bielefeld, Germany
Greiner, Wolfgang;
ORCID
0000-0001-6771-3193
Affiliation
Department of Anesthesiology and Intensive Care Medicine, Essen University Hospital, University Duisburg-Essen, Essen, Germany
Berger, Marc Moritz

Abstract Background 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 represent a promising alternative. In particular, the plasmatic detection of circulating, cell-free DNA by next-generation sequencing (NGS) has shown to be suitable for identifying disease-causing pathogens in patients with bloodstream infections. Methods The DigiSep-Trial is a randomized, controlled, interventional, open-label, multicenter trial characterizing the effect of the combination of NGS-based digital precision diagnostics with standard-of-care microbiological analyses compared to solely standard-of-care microbiological analyses in the clinical picture of sepsis/septic shock. Additional anti-infective expert consultations are provided for both study groups. In 410 patients ( n = 205 per arm) with sepsis/septic shock, the study examines 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) intensive/intermediate care unit length of stay, (2) consumption of antibiotics, (3) mortality, and (4) acute kidney injury (AKI)) can be improved by an additional NGS-based diagnostic concept. We also aim to investigate the cost-effectiveness of this new diagnostic procedure. It is postulated that intensive/intermediate care unit length of stay, mortality rate, incidence of AKI, the duration of antimicrobial therapy as well as the costs caused by complications and outpatient aftercare can be reduced. Moreover, a significant improvement in patient’s quality of life is expected. Discussion The authors´ previous work suggests that NGS-based diagnostics have a higher specificity and sensitivity compared to standard-of-care microbiological analyses for detecting bloodstream infections. In combination with the here presented DigiSep -Trial, this work provides the optimal basis to establish a new NGS-driven concept as part of the national standard based on the best possible evidence. Trial registrations DRKS-ID DRKS00022782 . Registered on August 25, 2020 ClinicalTrials.gov NCT04571801 . Registered October 1, 2020

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