A lower-cost protocol for sickle cell disease neonatal screening in Tunisia

Siala Hajer1, Taboubi Neila, Hadj Fradj Sondess

  • 1Service de Biochimie Clinique-Hôpital d Enfants de Tunis/Laboratoire de Recherche Lab Santé 01, Tunis, Tunisia. hajer.siala@rns.tn

Annals of Saudi Medicine
|December 14, 2011
PubMed

Insights

This study shows a low-cost method for neonatal screening of sickle cell disease (SCD) and other hemoglobin variants. Early detection through this method can improve outcomes for newborns with SCD.

Area of Science:

  • Medical Genetics
  • Neonatal Screening
  • Public Health

Background:

  • Sickle cell disease (SCD) is a hereditary anemia causing pain and infections.
  • Neonatal screening for SCD enables early intervention with penicillin and vaccination, reducing mortality.
  • Current screening methods can be costly, limiting accessibility.

Purpose of the Study:

  • To establish a cost-effective neonatal screening protocol for sickle cell disease.
  • To evaluate the feasibility of using a lower-cost method compared to commercial kits.
  • To detect major abnormal hemoglobin variants in newborns.

Main Methods:

  • A pilot study was conducted in two Tunisian maternity hospitals over one year.
  • Blood spots from 9148 newborns were collected on paper printed with a standard office printer.
  • Isoelectrofocusing (IEF) on lab-prepared agarose gels was used to analyze dried blood samples.

Main Results:

  • The IEF method successfully detected key abnormal hemoglobins (HbS, HbC, HbO, HbG) prevalent in Tunisia.
  • Screening data showed no statistically significant difference compared to established national data.
  • Families received results, and high-risk cases were referred for genetic counseling and prenatal diagnosis options.

Conclusions:

  • The pilot study demonstrated the feasibility of a lower-cost neonatal screening for SCD.
  • This method also effectively detects other significant structural hemoglobin variants.
  • The approach offers a more accessible screening solution for resource-limited settings.
Abstract

Related Concept Videos