dc.contributor.author |
Macharia AW, Mochamah G, Uyoga S, Ndila CM, Nyutu G, Makale J, Tendwa M, Nyatichi E, Ojal J, Shebe M, Awuondo KO, Mturi N, Peshu N, Tsofa B, Scott JAG, Maitland K, Williams TN. |
|
dc.date.accessioned |
2024-08-07T08:46:07Z |
|
dc.date.available |
2024-08-07T08:46:07Z |
|
dc.date.issued |
2018-03 |
|
dc.identifier.uri |
http://dx.doi.org/10.1002/ajh.24986 |
|
dc.identifier.uri |
http://repository.kemri.go.ke:8080/xmlui/handle/123456789/848 |
|
dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
American Journal of Hematology |
en_US |
dc.title |
The clinical epidemiology of sickle cell anemia In Africa. |
en_US |
dc.type |
Article |
en_US |