Observational Multi-center, Prospective Study to Characterize Novel pathogen-and Host-related Factors in Hospitalized Patients and Patients on the Emergency Department Presenting With Lower Respiratory Tract Infections and/or Sepsis.
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- LRTI
- Sponsor
- MeMed Diagnostics Ltd.
- Enrollment
- 1200
- Locations
- 1
- Primary Endpoint
- Sensitivity and specificity for a multi-parametric diagnostic model, incorporating different pathogen- and host-related factors, in differentiating between bacterial and viral etiology in patients with LRTI and/or sepsis
- Status
- Completed
- Last Updated
- 9 years ago
Overview
Brief Summary
The TAILORED-Treatment consortium was established to develop new tools aimed to increase the effectiveness of antibiotic and antifungal therapy, reduce adverse events, and help limit the emergence of antimicrobial resistance in children and adults.
Detailed Description
The TAILORED-Treatment consortium was established to develop new tools aimed to increase the effectiveness of antibiotic and antifungal therapy, reduce adverse events, and help limit the emergence of antimicrobial resistance in children and adults. In reality, targeted antimicrobial therapy can most effectively be achieved by utilizing personalized data to facilitate a tailored and optimized approach to individual patient treatment. This can best be achieved by utilizing knowledge gained from both host-centered and pathogen-centered parameters during health and disease. Unfortunately, these parameters have traditionally, tended to be measured independently (for example using microbial culture or PCR-based methods for microbial detection, or measurement of the immune response to infections and/or blood-based biomarkers in the host), and used on an ad hoc basis without careful integration for the best treatment of the patient. However, recent advances in the development of high-throughput and sensitive molecular-based technologies, on-line internet database access tools, and bioinformatics analysis, now means that the goal of personalized medicine and treatment is in sight. Unfortunately however, there currently exists a technological gap between recent state-of-the-art methodologies (for example with respect to gaining new insights into novel host-pathogen interactions) and laboratory-to-bedside results to benefit patients, physicians and society as a whole. The TAILORED-Treatment project is designed to bridge this technological gap in order to generate novel insights and innovations that are readily exploitable for the maximum benefit of multiple stakeholders in the field of personalized medicine and infectious diseases.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- •An episode of febrile infection during the past 3 weeks
- •A proven or suspected human immunodeficiency virus (HIV)-1, hepatitis B virus (HBV), or hepatitis C virus (HCV) infection
- •Presence of obvious alternative causes of respiratory distress, such as heart failure or pneumothorax
- •Patients with a nosocomial LRTI (developed \> 3days after hospitalization)
- •Post-transplant patients
- •Congenital immune deficiency (CID)
- •Active hematological malignancy
- •Current treatment with immune-suppressive or immune-modulating therapies including:
- •Chemotherapy, Radiotherapy or High dose steroids \>1 mg/kg/day prednisone or equivalent in the past two weeks, Monoclonal antibody or Intravenous IgG (IVIG), Cyclosporine, Anti-TNF agents, Interferon (of all kinds)
- •Other severe illnesses that affect life expectancy and quality of life such as: Moderate to severe psychomotor retardation Moderate to severe congenital metabolic disorder
Outcomes
Primary Outcomes
Sensitivity and specificity for a multi-parametric diagnostic model, incorporating different pathogen- and host-related factors, in differentiating between bacterial and viral etiology in patients with LRTI and/or sepsis
Time Frame: 4 years
The assesment of the sensitivity and specificity of a multi-parametric diagnostic model, incorporating different pathogen- and host-related factors, in differentiating between bacterial and viral etiology in patients with LRTI and/or sepsis
Secondary Outcomes
- Sensitivity and specificity ≥70% for liquid chromatography-mass spectrometry and lipid-based Protein Immobilization proteomics-based rapid detection technique in identifying pathogens in clinical samples of patients with LRTI and/or sepsis(4 years)
- A list of significant bacterial microbiome components that are associated with poor or favorable clinical outcome in patients with LRTI and/or sepsis(4 years)
- Sensitivity and specificity ≥70% for host-related individual biomarkers, in differentiating bacterial or viral or fungal etiology from other etiologies in patients with LRTI and/or sepsis(4 years)
- Sensitivity and specificity ≥70% for sets of blood biomarkers, in differentiating Gram positive or Gram negative or atypical etiology from other disease etiologies in patients with LRTI and/or sepsis(4 years)
- Monitoring the temporal dynamics concentrations of blood biomarkers levels during the course of disease in patients with LRTI and/or sepsis(4 years)
- To build a web-based application that provides physicians with a recommended antimicrobial treatment based on patients clinical, molecular and biochemical data.(4 years)