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Updated: Feb 18, 2026

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The clinical epidemiology of sickle cell anemia In Africa
Alex W Macharia1, George Mochamah1, Sophie Uyoga1
1KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Insights
Sickle cell anemia (SCA) is a severe genetic disorder prevalent in sub-Saharan Africa. Early diagnosis through targeted hospital screening, like the Kilifi Algorithm, is crucial for affected children.
Area of Science:
- Clinical Epidemiology
- Genetics
- Public Health in Africa
Background:
- Sickle cell anemia (SCA) is a prevalent severe monogenic disorder, particularly in sub-Saharan Africa.
- Characterization of SCA epidemiology is limited in high-prevalence regions compared to high-income countries.
- Understanding SCA's clinical impact in endemic areas is vital for public health strategies.
Purpose of the Study:
- To determine the incidence and clinical epidemiology of SCA in children in Kilifi County, Kenya.
- To assess the burden of SCA on hospital admissions and associated syndromic diagnoses.
- To evaluate the utility of a clinical algorithm for early SCA detection in a resource-limited setting.
Main Methods:
- Retrospective cohort study of children aged 0-13 years admitted to Kilifi County Hospital over five years.
- Retrospective genotyping for SCA and calculation of incidence rates against population data.
- Analysis of hospital admission rates and syndromic diagnoses in SCA patients versus controls.
Main Results:
- SCA was diagnosed in 3.1% of admissions, with 69.3% previously undiagnosed.
- Children with SCA had a 15.3-fold higher incidence of all-cause hospital admission.
- Significantly higher rates of severe anemia, stroke, bacteremia, and bone/joint infections were observed in SCA patients.
Conclusions:
- SCA significantly increases hospital admission rates and the risk of severe complications in children in this malaria-endemic region.
- The Kilifi Algorithm, using five clinical features, could identify approximately half of SCA cases among admitted children.
- Targeted screening of hospital-admitted children offers a pragmatic approach to early SCA diagnosis where newborn screening is unavailable.
Abstract:
Sickle cell anemia (SCA) is the commonest severe monogenic disorders of humans. The disease has been highly characterized in high-income countries but not in sub-Saharan Africa where SCA is most prevalent. We conducted a retrospective cohort study of all children 0-13 years admitted from within a defined study area to Kilifi County Hospital in Kenya over a five-year period. Children were genotyped for SCA retrospectively and incidence rates calculated with reference to population data. Overall, 576 of 18,873 (3.1%) admissions had SCA of whom the majority (399; 69.3%) were previously undiagnosed. The incidence of all-cause hospital admission was 57.2/100 person years of observation (PYO; 95%CI 52.6-62.1) in children with SCA and 3.7/100 PYO (95%CI 3.7-3.8) in those without SCA (IRR 15.3; 95%CI 14.1-16.6). Rates were higher for the majority of syndromic diagnoses at all ages beyond the neonatal period, being especially high for severe anemia (hemoglobin <50 g/L; IRR 58.8; 95%CI 50.3-68.7), stroke (IRR 486; 95%CI 68.4-3,450), bacteremia (IRR 23.4; 95%CI 17.4-31.4), and for bone (IRR 607; 95%CI 284-1,300), and joint (IRR 80.9; 95%CI 18.1-362) infections. The use of an algorithm based on just five clinical features would have identified approximately half of all SCA cases among hospital-admitted children with a number needed to test to identify each affected patient of only fourteen. Our study illustrates the clinical epidemiology of SCA in a malaria-endemic environment without specific interventions. The targeted testing of hospital-admitted children using the Kilifi Algorithm provides a pragmatic approach to early diagnosis in high-prevalence countries where newborn screening is unavailable.
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