Related Experiment Videos
[Predictive score of infectious complications on kalazar of child]
1Departmento de Pediatria, Universidade de Brasília, DF.
Insights
This study identifies key indicators like heart rate and white blood cell count to predict infectious complications in children with visceral leishmaniasis (kala-azar). This aids in early risk assessment and improved treatment quality for pediatric leishmaniasis.
Area of Science:
- Pediatric Infectious Diseases
- Parasitology
- Clinical Epidemiology
Context:
- Visceral leishmaniasis (kala-azar) poses a significant risk of infectious complications in children.
- Accurate prediction of these complications is crucial for timely intervention and management.
- Existing diagnostic criteria may not fully capture the risk profile in pediatric populations.
Purpose:
- To develop and validate a predictive model for infectious complications in children diagnosed with visceral leishmaniasis.
- To identify specific clinical and laboratory variables that effectively discriminate risk.
- To establish a reliable instrument for assessing complication risk in pediatric kala-azar.
Summary:
- A statistical model using Fisher Discriminant Analysis was applied to data from 54 children under 13 with visceral leishmaniasis.
- Key predictive variables identified include heart rate, white blood cell count, lymphocyte count, platelet count, and glutamic-oxalacetic transaminase.
- The derived discriminant function achieved 75.93% correct classification and 80.60% correct risk prediction.
Impact:
- Provides a validated prediction instrument for infectious complications in pediatric visceral leishmaniasis.
- Enables clinicians to better assess individual patient risk, potentially improving treatment strategies.
- Contributes to enhanced quality of care and outcomes for children suffering from kala-azar.
Abstract:
The reports on fifty four children under thirteen years old with visceral leishmaniasis were evaluated to find a prediction criterion for the risk of infectious complications on the course of this disease. The children were divided into two groups according the presence or absence of infectious complications. The statistic model adopted was the Fisher Discriminant Analysis by the method of Wilks. The variables presenting a good discriminant power were: heart rate, white blood cells count, blood lymphocytes count, platelets count and glutamic-oxalacetic transaminase. The discriminant score for the risk of infectious complications in each case was estimated by means of the defined discriminant function, resulting in 75.93% of correct classification in each group, with 80.60% of correct prediction of the risk. This procedure is then valid as a prediction instrument for infectious complications on the course of kalazar in children and may contribute to improve the quality of treatment of this disease.
Related Concept Videos
Rocky Mountain Spotted Fever
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Pneumonia III: Complications and Assessment
Smallpox