Kohorta specjalistycznych chorób zakaźnych (SNID)

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.

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.

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.

It 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.

Therapeutic data will track primary anti-infective treatments and adjustments based on resistogram results or clinical needs to assess their impact on outcomes.

Key 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.

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).

A 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.

Outcome data collection includes complex Salmonella infections and rare parasitic infections like Cryptosporidium parvum.

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.

As a cohort study with an open research question, various outcomes and factors influencing the disease may be of interest, including disease severity, quality of care, risk, burden, impact on quality of life, and mortality. The sentinel program also enables analysis of the incidence and prevalence of specific pathogens and clinical conditions.

The study's primary goal is not to define a specific outcome but to provide data and biosamples for further research. This allows other researchers to conduct their own studies, potentially linking the data with hospital records or integrating health insurance information, thus expanding the analysis scope.

Rather than focusing on a single endpoint, the data serve as a foundation for multiple independent analyses. The sentinel program also strengthens research infrastructure by enabling the study of pathogen incidence and clinical conditions.