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Evaluation of a neonatal screening program for sickle-cell disease
Rodrigo Eller1, Denise Bousfield da Silva2
1Medical School, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
Jornal De Pediatria
|February 20, 2016
Summary
The Neonatal Screening Program in Santa Catarina achieved 86% coverage for sickle-cell disease screening but showed no improvement over time. The disease frequency is low, though sample collection age exceeded recommendations.
Area of Science:
- Public Health
- Pediatrics
- Genetics
Background:
- Sickle-cell disease (SCD) is a significant public health concern.
- Neonatal screening programs are crucial for early detection and management of SCD.
- Evaluating program effectiveness is essential for optimizing public health interventions.
Purpose of the Study:
- To assess the coverage and disease frequency of the Neonatal Screening Program for sickle-cell disease in Santa Catarina, Brazil.
- To analyze trends in program coverage and identify demographic factors associated with SCD.
- To compare SCD incidence in Santa Catarina with other Brazilian regions.
Main Methods:
- A descriptive, observational, cross-sectional study with retrospective data analysis.
- Data collected from January 2003 to December 2012, including live births, screened infants, and SCD diagnoses.
- Descriptive statistics and frequency tables were used to analyze variables like age at screening, ethnicity, and geographic origin.
Main Results:
- The program screened 86.0% of 848,833 live births, identifying 6,173 cases of sickle-cell trait and 39 of sickle-cell disease.
- The median age for sample collection was 6 days, exceeding the Ministry of Health recommendation.
- SCD incidence was highest in the Midwest and Highland regions; 64.1% of affected children were white.
Conclusions:
- Neonatal screening coverage in Santa Catarina is adequate but has not improved over the decade studied.
- The frequency of sickle-cell disease in Santa Catarina is lower compared to other Brazilian regions.
- The median age at sample collection indicates a need for improvement to align with recommended early detection timelines.

