[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100583658":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":24,"locations":34,"responsibleParty":47,"collaborators":51,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":61,"eligibilityCriteria":62,"healthyVolunteers":57,"sex":63,"minAge":64,"maxAge":10,"enrollmentInfo":65,"targetDuration":68,"studyType":69,"phases":10,"briefSummary":70,"conditions":71,"keywords":73,"overallStatus":88,"whyStopped":10,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"Goethe University","OTHER",[8,12,15,18,21],{"label":9,"type":10,"description":11,"interventionNames":10},"Module Bloodstream Infections",null,"This sub-cohort focuses on the characterization of patients with both nosocomial and community-acquired bloodstream infections (BSI), serving as a foundation for future prospective randomized controlled clinical trials. The study will explore the evolution of BSI caused by multidrug-resistant or emerging pathogens and assess the prognosis and long-term outcomes of patients with BSI in Germany. Additionally, the cohort will evaluate patient- and pathogen-related risk factors associated with BSI.",{"label":13,"type":10,"description":14,"interventionNames":10},"Module Emerging Infections","The sub-cohort includes identifying and monitoring emerging pathogens to stay ahead of potential health threats, as well as developing a targeted screening program to detect infections caused by established pathogens like Mpox and Candida auris. The sub-cohort will also expand detection efforts to include pathogens not yet established in Germany, such as dengue virus, particularly in regions where this is not yet addressed by other modules. Additionally, the study team will perform an extended risk and exposure assessment for participating patients according to a defined protocol.",{"label":16,"type":10,"description":17,"interventionNames":10},"Module Respiratory Infections","The sub-cohort includes the creation of a searchable data and biosample repository for community-acquired respiratory tract infections (CARTI), not limited to pneumonia, enabling research on pathogens, clinical presentations, treatments, and patient outcomes. The biosamples will support future studies on pathogen identification, immune responses, and therapeutic efficacy.\n\nIt will also document a range of pathogens, including emerging ones, and their frequencies across various CARTI, allowing analysis of associations with factors like age, gender, and comorbidities.\n\nTherapeutic data will track primary anti-infective treatments and adjustments based on resistogram results or clinical needs to assess their impact on outcomes.\n\nKey clinical outcomes, such as hospital mortality, length of stay, and complications, will be tracked to explore the effects of pathogen type, comorbidities, and treatments on patient outcomes.",{"label":19,"type":10,"description":20,"interventionNames":10},"Module Gastrointestinal Infections","The sub-cohort enrolls patients with bacterial, viral, and parasitic gastrointestinal (GI) infections identified through routine diagnostics, including those from hematology units screened for GI colonization with multidrug-resistant pathogens like MRGN or Vancomycin-resistant enterococci (VRE).\n\nA key focus is comparing GI pathogen translocation into the bloodstream with the bloodstream infection module, identifying risk factors and transmission routes. The study also assesses antimicrobial resistance (AMR) in enteric pathogens and colonizing enterobacteria, while systematically biobanking stool samples for resistance analysis and pathogen characterization, such as hypervirulent Clostridioides difficile ribotypes or Giardia intestinalis resistance mechanisms.\n\nOutcome data collection includes complex Salmonella infections and rare parasitic infections like Cryptosporidium parvum.",{"label":22,"type":10,"description":23,"interventionNames":10},"Module CNS Infections","The sub-cohort focuses on Central Nervous System (CNS) infections, which are a major public health concern due to their potential to cause severe neurological damage and high mortality. The goal of this project is to create a searchable dataset derived from routine clinical data and biobanked biosamples, which will facilitate future research into CNS infections. The dataset will support studies on pathogen profiles, diagnostic pathways, and clinical outcomes, helping to understand the underlying mechanisms of CNS infections. Additionally, the project aims to explore prognostic markers, treatment responses, and outcomes, with the goal of improving risk stratification and informing personalized treatment strategies for CNS infections.",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Janne Vehreschild, Prof. Dr. med.","CONTACT","+49 151 17192218","j.vehreschild@med.uni-frankfurt.de",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},"Margarete Scherer, Dr. phil.","+49 151 15096085","margarete.scherer@med.uni-frankfurt.de",[35],{"facility":36,"status":10,"city":37,"state":10,"zip":38,"country":39,"countryCode":40,"cosmosGeoPoint":41,"geoPoint":46,"contacts":10},"University Hospital Frankfurt","Frankfurt","60590","Germany","DE",{"type":42,"coordinates":43},"Point",[44,45],10.53333,49.68333,{"lat":45,"lon":44},{"type":48,"investigatorFullName":49,"investigatorTitle":50,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Janne Vehreschild","Director of the Institute for Digital Medicine and Clinical Data Science at the Universtity of Frankfurt",[52],{"name":53,"class":54},"German Federal Ministry of Education and Research","OTHER_GOV","100583658","cohort-of-the-specialist-network-infectious-diseases-100583658",false,"NCT06879184","Cohort of the Specialist Network Infectious Diseases","Master Study Protocol for the Cohort of the Specialist Network Infectious Diseases (SNID)","SNID","Inclusion Criteria:\n\n* Fulfillment of all inclusion and no exclusion criteria for at least one module\n* Ability to perform all baseline visit data and biosample collections according to the study requirements no later than 48 hours (with an additional 48-hour period for weekends) after fulfilling all study and specific module inclusion and exclusion criteria\n* Signed informed consent form from all patients capable of giving consent and understanding all contents of the informed consent\n* Age ≥ 18 years.\n\nExclusion Criteria:\n\nThere are no generic exclusion criteria in the master study protocol.","ALL","18 Years",{"count":66,"type":67},15000,"ESTIMATED","2 Weeks","OBSERVATIONAL","This observational study aims to collect standardized clinical data and biosamples from adults in university hospitals across Germany. The main goals are to create a cohort that combines clinical data, pathogen samples, and biosamples, with consent for future research. A pre-screening program tracks infection-related hospitalizations, helping detect pathogen changes early and respond quickly. Participants will be recruited if they have respiratory, bloodstream, gastrointestinal, emerging, or central nervous system infections. Data and biosamples will be collected at the start and end of the hospital stay, with additional visits if needed.",[72],"Infectious Diseases and Manifestations",[74,75,76,77,78,79,80,81,82,83,84,85,39,86,87],"infectious diseases","master study protocol","prospective","prescreening","infection-related hospitalizations","respiratory","bloodstream","gastrointestinal","emerging infections","central nervous system","infrastructure","biosamples","pandemic preparedness","sentinel","NOT_YET_RECRUITING","2025-03-13",{"date":91,"type":92},"2025-03-17","ACTUAL",{"date":94,"type":67},"2025-03-20",{"date":96,"type":67},"2030-06-30",{"name":5,"class":6},1]