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| Name | Class |
|---|---|
| Noscendo GmbH, Germany | UNKNOWN |
| Health Economics and Health Care Management, Bielefeld University | UNKNOWN |
| Heidelberg University | OTHER |
| Heinrich-Heine University, Duesseldorf |
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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.
Sepsis is a disease which is triggered by an infection and represents one of the greatest challenges of modern intensive care medicine. With regard to targeted anti-microbial therapy, the earliest possible pathogen detection is of crucial importance. Until now, culture-based detection methods represent the gold standard for diagnosis, although numerous limitations characterize these. In this context, culture-independent molecular biological processes are an alternative. In particular, the concept of serum detection of circulating, free DNA employing next-generation sequencing (NGS) seems to represent a promising diagnostic procedure in patients with bloodstream infections. The applicant's extensive preparatory work suggests that NGS-based diagnostics using the SIQ score have higher specificity and sensitivity compared to traditional culture-based methods for detecting bloodstream infections. This preliminary work for the DigiSep trial with the help of interventional study design provides the optimal basis to establish this new concept as part of the national standard based on the best possible evidence. The DigiSep trial is intended to characterize the effect of the combination of digital precision diagnostics, expert exchange and culture-based standard diagnostics compared to a purely culture-based conventional diagnosis 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 score (Desirability of Outcome Ranking / Response Adjusted for Duration of Antibiotic Risk Score) can be significantly improved, by application of the NGS. We also aim to also study whether the new procedure is cost-effective. It is postulated that the inpatient admission time, mortality rate, incidence of acute renal failure (ARF), the duration of anti-microbial therapy as well as the costs of complications and outpatient aftercare can be reduced. Also, a significant improvement in the quality of life of the affected patients can be expected.
As part of the study, the essential data is collected once at the time of sepsis (= onset). The culture-based diagnostics include the guideline-oriented collection of 2 blood culture sets (2 x aerobic / 2 x anaerobic) to the onset and three days later. At the same time, serum samples are obtained for NGS-based pathogen diagnostics. Additional sampling for NGS-based diagnostics can be made up to day 14 after onset or whenever the attending physician establishes a clinical indication for the collection of further blood cultures. The aforementioned cultures vs NGS-based pathogen diagnostics are also accompanied by extended immunological monitoring from blood plasma samples as well as an NGS-based transcriptome analysis. The associated sampling takes place at the time of onset, 3, 7 and 14 days after the beginning of sepsis. Routine microbiological findings from other biological samples (e.g. surgical swabs, drainage secretions, tracheal secretions, tissue samples) are included in the evaluation if these were collected three days before or after the extraction of serum samples for NGS-based diagnostics. The clinical data collection is also carried out at the time of sepsis (= onset), 3, 7 and 14 days later, analogous to the above-mentioned sample collection. The final outcome evaluation takes place 28 days (= 28 d) after the onset of sepsis. The study-related burden on the individual study patient includes a total of 17 ml of whole blood for NGS-based diagnostics, the four samples of 7.5 ml of whole blood for immunological monitoring and the four samples of 2.7 ml of whole blood for transcriptome analysis. The minimum total volume, therefore, amounts to the collection of approximately 75 ml of whole blood within the first 14 days after the onset of sepsis. The sampling takes place with the collection of the blood cultures or within the framework of the daily routine blood samples so that no further venous punctures are required here. Infection parameters such as procalcitonin (PCT) are carried out within the framework of daily regular blood collection and therefore, do not require any additional vascular punctures. The same principle applies to the collection of blood cultures which are routinely obtained as part of standard diagnostics in patients with suspected or proven sepsis. The required blood samples of two 40 ml of whole blood (each two sets of 2 x aerobic / 2 x anaerobic = 4 x 10 ml = 40 ml) therefore do not represent any additional burden due to the study. A further additional burden for the patient concerning invasive procedures or examinations is not expected in the study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | Active Comparator | Standard diagnostics |
|
| 2 | Experimental | Standard diagnostics + NGS |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Standard diagnostics | Diagnostic Test | Standard diagnostics (Microbial diagnostics by means of standard culture methods + optional consultation of experts in the field of infectious diseases) within the first 72 h after diagnosis of sepsis / septic shock |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Disease severity | Long term mortality [%] | at 90 and 180 days |
| Disease severity | Hospital length of stay [days] | at 28, 90, and 180 days |
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Inclusion Criteria:
General inclusion criteria:
Sepsis:
Change of the quick (q) SOFA score of 2 points as an indication of a sepsis
Or septic shock:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Thorsten Brenner, MD | Department of Anesthesiology, University Hospital Essen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Heidelberg | Heidelberg | Baden-Wurttemberg | Germany | |||
| Heidenheim Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42377463 | Derived | Brenner T, Skarabis A, Schaller SJ, von Groote T, Putensen C, Gunther U, Sauer M, Decker SO, Dusse F, Weiss M, Suchodolski K, Simon TP, Rosenberger P, Moerer O, Unterberg M, Schewe JC, Bracht H, Hutzl S, Feisst M, Marschall U, Brandenburg P, Stevens P, Schmidt J, Pletz MW, Berger MM; German Society of Anaesthesiology and Intensive Care (GSAIC) Trials Group. Effects of a clinical metagenomics intervention on clinical outcomes, healthcare costs, and health-related quality of life in patients with sepsis or septic shock: results of the randomized-controlled DigiSep trial. Intensive Care Med. 2026 Jun 30. doi: 10.1007/s00134-026-08521-3. Online ahead of print. | |
| 34663439 |
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Researchers with access to data are limited to the project partners involved. Researchers will receive pseudonymized data sets for data evaluations. A prerequisite for the transfer of the data to the project partners is the written consent of the patients.
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| OTHER |
| Jena University Hospital | OTHER |
| University Hospital Heidelberg | OTHER |
| AOK Rheinland/Hamburg | INDUSTRY |
| Barmer Health Insurance, Germany | UNKNOWN |
| Techniker Health Insurance, Germany | UNKNOWN |
Arm 1: Standard diagnostics (Microbial diagnostics by means of standard culture methods + optional consultation of experts in the field of infectious diseases) within the first 72 h after diagnosis
Arm 2: Standard diagnostics + NGS (Microbial diagnostics using standard culture methods + Next Generation Sequencing + optional consultation of experts in the field of infectious diseases) within the first 72 h after diagnosis
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| Next Generation Sequencing (NGS) | Diagnostic Test | Standard diagnostics + NGS (Microbial diagnostics using standard culture methods + Next Generation Sequencing + optional consultation of experts in the field of infectious diseases) within the first 72 h after diagnosis of sepsis / septic shock |
|
| Degree of organ dysfunction/-failure | Duration of mechanical ventilation [days] | at 28, 90, and 180 days |
| Degree of organ dysfunction/-failure | Length of time until shock resolution [hours] | during 28 days |
| Degree of organ dysfunction/-failure | Ongoing need for renal replacement therapy [%] | at 28, 90, and 180 days |
| Microbiological outcome | Cumulative need for anti-infective drugs [days] | at 28, 90, and 180 days |
| Microbiological outcome | Beginning of a targeted anti-infective treatment regimen [days] | during 28 days |
| Health economic outcome | Utilization of healthcare ressources (outpatient and inpatient) [Euro] | at 28, 90, and 180 days |
| Health economic outcome | Policyholder costs (outpatient and inpatient) [Euro] | at 28, 90, and 180 days |
| Economic outcome | Disease-related absence from work [days] | at 28, 90, and 180 days |
| 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 |
| 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 |
| Heidenheim |
| Baden-Wurttemberg |
| Germany |
| Konstanz Hospital | Konstanz | Baden-Wurttemberg | Germany |
| University Hospital Tübingen | Tübingen | Baden-Wurttemberg | Germany |
| University Hospital Ulm | Ulm | Baden-Wurttemberg | Germany |
| University Hospital TU München | München | Bavaria | Germany |
| University Hospital Regensburg | Regensburg | Bavaria | Germany |
| University Hospital Würzburg | Würzburg | Bavaria | Germany |
| Klinik Evangelisches Krankenhaus Luckau gGmbH | Luckau | Brandenburg | Germany |
| University Hospital Frankfurt | Frankfurt am Main | Hesse | Germany |
| Helios Dr. Horst Schmidt Hospital | Wiesbaden | Hesse | Germany |
| University Hospital Göttingen | Göttingen | Lower Saxony | Germany |
| University Hospital Hannover (MHH) | Hanover | Lower Saxony | Germany |
| University Hospital Rostock | Rostock | Mecklenburg-Vorpommern | Germany |
| University Hospital Aachen | Aachen | North Rhine-Westphalia | Germany |
| Klinik Evangelisches Krankenhaus Bethel gGmbH Bielefeld | Bielefeld | North Rhine-Westphalia | Germany |
| University Hospital Bonn | Bonn | North Rhine-Westphalia | Germany |
| University Hospital Köln | Cologne | North Rhine-Westphalia | Germany |
| University Hospital Düsseldorf | Düsseldorf | North Rhine-Westphalia | Germany |
| University Hospital Essen | Essen | North Rhine-Westphalia | Germany |
| University Hospital Leipzig | Leipzig | Saxony | Germany |
| University Hospital Charité | Berlin | State of Berlin | Germany |
| Derived |
| Brenner T, Skarabis A, Stevens P, Axnick J, Haug P, Grumaz S, Bruckner T, Luntz S, Witzke O, Pletz MW, Ruprecht TM, Marschall U, Altin S, Greiner W, Berger MM; TIFOnet Critical Care Trials Group. 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. Trials. 2021 Oct 18;22(1):714. doi: 10.1186/s13063-021-05667-x. |
| ID | Term |
|---|---|
| D018805 | Sepsis |
| D012772 | Shock, Septic |
| D016470 | Bacteremia |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012769 | Shock |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
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