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Severe imported Plasmodium falciparum malaria in children: characteristics and useful factors in the risk
Agnese Comelli1, María Espiau Guarner2, Lina Rachele Tomasoni1
1University Department of Infectious and Tropical Diseases, University of Brescia and ASST Spedali Civili, Brescia, Italy.
Insights
A new scoring model using age, white blood cells (WBC), and C-reactive protein can identify children at high risk for severe imported malaria in non-endemic areas.
Area of Science:
- Pediatric Infectious Diseases
- Tropical Medicine
- Clinical Epidemiology
Background:
- Severe imported pediatric malaria poses a significant challenge in non-endemic regions.
- Accurate risk stratification of pediatric severe malaria cases is crucial for timely intervention.
Purpose of the Study:
- To identify key features of severe pediatric malaria cases.
- To develop a predictive model for stratifying patient risk upon presentation.
Main Methods:
- Retrospective cross-sectional study of imported P. falciparum malaria in children (≤14 years) from 2008-2019.
- Analysis of adverse outcomes including mortality, PICU admission, and blood transfusion.
- Development and evaluation of a predictive model using clinical and laboratory parameters.
Main Results:
- 30.9% of pediatric malaria cases were classified as severe.
- Predictors for severe malaria included young age, low hemoglobin, elevated white blood cells (WBC), and high C-reactive protein.
- A model incorporating age, WBC, and C-reactive protein demonstrated high specificity (92.3%) for identifying non-severe cases.
Conclusions:
- A simple scoring system based on age, WBC, and C-reactive protein can effectively identify children at higher risk of adverse outcomes.
- This score is easily applicable in emergency room settings for rapid risk assessment.
- The model aids in early detection and management of severe pediatric malaria.
Background:
Severe imported pediatric malaria is of concern in non-endemic settings. We aimed to determine the features of pediatric severe cases in order to design a model able to stratify patients at presentation.
Methods:
We conducted a retrospective cross-sectional study including all imported P. falciparum malaria infection in patients ≤14 years of age, treated from January 2008 to February 2019 in two tertiary hospitals: Brescia, Italy and Barcelona, Spain. Severe malaria was defined according to World Health Organization criteria. Mortality rate, pediatric intensive care unit (PICU) stay and blood transfusion were analysed as adverse outcomes.
Results:
Out of 139 children included, 30.9% were severe malaria. Twenty-seven (19.4%) were admitted to PICU, and transfusion was required in 14 cases (10.1%). Predictors for severe malaria were: young age, low hemoglobin, high white blood cells (WBC) and high C-reactive protein. Platelet <130,000/μl correlated with severe malaria (without statistical significance). A model that includes age, WBC and C-reactive protein shows a high specificity to classify patients without severe malaria (92.3%) with 70% PPV and 75% NPV.
Conclusions:
A score based on patient's age, WBC and C-reactive protein easily available at emergency room can help to identify children with higher risk of adverse outcomes.
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