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| Name | Class |
|---|---|
| KU Leuven | OTHER |
| Institut National de Recherche Biomédicale. Kinshasa, République Démocratique du Congo | OTHER |
| Hôpital St. Luc Kisantu, République Democratique du Congo | UNKNOWN |
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In sub-Saharan Africa, non-typhoidal Salmonella (NTS) are a frequent cause of bloodstream infection, display high levels of antibiotic resistance and have a high case fatality rate (15%). In Kisantu hospital in the Democratic Republic of Congo (DR Congo), NTS account for 75% of bloodstream infection in children and many children are co-infected with Plasmodium falciparum (Pf) malaria. NTS bloodstream infection presents as a non-specific severe febrile illness, which challenges early diagnosis and, as a consequence, prompt and appropriate antibiotic treatment.Moreover, at the first level of care, frontline health workers have limited expertise and diagnostic skills and, as a consequence, clinical danger signs that indicate serious bacterial infections are often overlooked.
Basic handheld diagnostic instruments and point-of-care tests can help to reliably detect danger signs and improve triage, referral and the start of antibiotics, but there is need for field implementation and adoption to low-resource settings. Further, it is known that some clinical signs and symptoms are frequent in NTS bloodstream infections. The integration of these clinical signs and symptoms in a clinical decision support model can facilitate the diagnosis of NTS bloodstream infections and target antibiotic treatment.
The investigators aim to develop such a clinical decision support model based on data from children under five years old admitted to Kisantu district referral hospital in the Democratic republic of the Congo. While developing the model, the investigators will focus on the signs and symptoms that can differentiate NTS bloodstream infection from severe Pf malaria and on the clinical danger signs that can be assessed by handheld diagnostic instruments and point-of-care tests. The deliverable will be a clinical decision support model ready to integrate in an electronic decision support system.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NTS bloodstream infection | growth of NTS in blood culture | ||
| NTS/Pf malaria co-infection | concurrence of current Pf malaria infection and NTS bloodstream infection | ||
| Other pathogen bloodstream infections | growth of a pathogen other than NTS in blood culture | ||
| Severe Pf malaria mono-infection | defined according to WHO-criteria | ||
| Other causes of febrile illness requiring hospital admission |
|
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| Measure | Description | Time Frame |
|---|---|---|
| Predictive signs and symptoms | Identify clinical signs and symptoms predictive for and differentiate between: 1.1. NTS bloodstream infection 1.2. severe Pf malaria mono-infection 1.3. NTS/Pf malaria co-infection 1.4. other-pathogen bloodstream infections 1.5. other causes of febrile illness requiring hospital admission | 12 months |
| Contribution of handheld diagnostics and point-of-care tests to NTS bloodstream infection diagnosis | Assess the contribution of handheld diagnostic instruments and point-of-care tests to the detection of danger signs associated with NTS bloodstream infection | 12 months |
| Clinical decision support model for NTS bloodstream infection | Develop a clinical decision support model for diagnosis of NTS bloodstream infection based on the predictive clinical signs and symptoms associated with NTS bloodstream infections | 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Contribution of handheld diagnostics and point-of-care tests to bloodstream infection diagnosis | Assess the contribution of handheld diagnostic instruments and point-of-care tests to the detection of danger signs associated with all pathogen bloodstream infection (NTS and other-pathogen bloodstream infections combined) | 12 months |
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Inclusion Criteria:
Be a child of > 28 days and < 5 years old
Be admitted to Kisantu Hospital
Having a blood cultured sampled according to the criteria for suspected bloodstream infection embedded in the blood culture surveillance, i.e. presence of objective fever, hypothermia or history of fever during past 48 hours + at least one of the following criteria:
Having a caregiver willing and able to provide written informed consent
Exclusion Criteria:
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Study site: Pediatric ward of St. Luc general referral hospital in Kisantu health zone (Province Kongo Central, DR Congo), further referred to as "Kisantu Hospital"
Capacity: 100 beds, bed occupancy reaches up to 180%
Financial system: Flat fees per admission (10$)
Ongoing blood culture surveillance study:
Epidemiological context:
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| Name | Affiliation | Role |
|---|---|---|
| Bieke Tack, MD | Institute of Tropical Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Kisantu general referral hospital | Antwerp | 2000 | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39871187 | Derived | Tack B, Vita D, Mbuyamba J, Ntangu E, Vuvu H, Kahindo I, Ngina J, Luyindula A, Nama N, Mputu T, Im J, Jeon H, Marks F, Toelen J, Lunguya O, Jacobs J, Van Calster B. Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo. BMC Infect Dis. 2025 Jan 27;25(1):122. doi: 10.1186/s12879-024-10319-x. |
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| ID | Term |
|---|---|
| D018805 | Sepsis |
| D016778 | Malaria, Falciparum |
| D008288 | Malaria |
| D005334 | Fever |
| D000740 | Anemia |
| D044342 | Malnutrition |
| D001424 | Bacterial Infections |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
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| International Vaccine Institute |
| OTHER |
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| Clinical decision support model for bloodstream infection |
Develop a clinical decision support model for diagnosis of bloodstream infection caused by all pathogens (NTS and other pathogens combined) |
| 12 months |
| Case fatality | Determine the clinical signs and symptoms associated with case fatality in NTS bloodstream infection and all pathogen bloodstream infections (NTS and other pathogen combined) | 12 months |
| Geographical clustering | Assess the geographical clustering of cases with NTS bloodstream infection | 12 months |
| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D011528 | Protozoan Infections |
| D010272 | Parasitic Diseases |
| D000096724 | Mosquito-Borne Diseases |
| D000079426 | Vector Borne Diseases |
| D001832 | Body Temperature Changes |
| D012816 | Signs and Symptoms |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001423 | Bacterial Infections and Mycoses |