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Child mortality from sickle cell disease in Nigeria: a model-estimated, population-level analysis of data from the 2018 Demographic and Health Survey.
Nnodu, Obiageli E; Oron, Assaf P; Sopekan, Alayo; Akaba, Godwin O; Piel, Frédéric B; Chao, Dennis L.
Afiliação
  • Nnodu OE; Centre of Excellence for Sickle Cell Disease Research and Training, University of Abuja, Abuja, Nigeria.
  • Oron AP; Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Sopekan A; Sickle Cell Disease Desk, Noncommunicable Diseases Control Programme, Department of Public Health, Federal Ministry of Health, Abuja, Nigeria.
  • Akaba GO; Department of Obstetrics and Gynaecology, College of Health Sciences, University of Abuja, Abuja, Nigeria.
  • Piel FB; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Chao DL; Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA. Electronic address: dennisc@idmod.org.
Lancet Haematol ; 8(10): e723-e731, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34481551
ABSTRACT

BACKGROUND:

Child mortality from sickle cell disease in sub-Saharan Africa is presumed to be high but is not well quantified. This uncertainty contributes to the neglect of sickle cell disease and delays the prioritisation of interventions. In this study, we estimated the mortality of children in Nigeria with sickle cell disease, and the proportion of national under-5 mortality attributable to sickle cell disease.

METHODS:

We did a model-estimated, population-level analysis of data from Nigeria's 2018 Demographic and Health Survey (DHS) to estimate the prevalence and geographical distribution of HbSS and HbSC genotypes assuming Hardy-Weinberg equilibrium near birth. Interviews for the survey were done between Aug 14 and Dec 29, 2018, and the embedded sickle cell disease survey was done in a randomly selected third of the overall survey's households. We developed an approach for estimating child mortality from sickle cell disease by combining information on tested children and their untested siblings. Tested children were aged 6-59 months at the time of the survey. Untested siblings born 0-14 years before the survey were also included in analyses. Testing as part of the DHS was done without regard to disease status. We analysed mortality differences using the inheritance-derived genotypic distribution of untested siblings older than the tested cohort, enabling us to estimate excess mortality from sickle cell disease for the older-sibling cohort (ie, those born between 2003 and 2013).

FINDINGS:

We analysed test results for 11 186 children aged 6-59 months from 7411 households in Nigeria. The estimated average birth prevalence of HbSS was 1·21% (95% CI 1·09-1·37) and was 0·24% (0·19-0·31) for HbSC. We obtained data for estimating child mortality from 10 195 tested children (who could be matched to the individual mother survey) and 17 205 of their untested siblings. 15 227 of the siblings were in the older-sibling cohort. The group of children with sickle cell disease born between 2003 and 2013 with at least one younger sibling in the survey had about 370 excess under-5 deaths per 1000 livebirths (95% CI 150-580; p=0·0008) than children with HbAA. The estimated national average under-5 mortality for children with sickle cell disease born between 2003 and 2013 was 490 per 1000 livebirths (95% CI 270-700), 4·0 times higher (95% CI 2·1-6·0) than children with HbAA. About 4·2% (95% CI 1·7-6·9) of national under-5 mortality was attributable to excess mortality from sickle cell disease.

INTERPRETATION:

The burden of child mortality from sickle cell disease in Nigeria continues to be disproportionately higher than the burden of mortality of children without sickle cell disease. Most of these deaths could be prevented if adequate resources were allocated and available focused interventions were implemented. The methods developed in this study could be used to estimate the burden of sickle cell disease elsewhere in Africa and south Asia.

FUNDING:

Sickle Pan African Research Consortium, and the Bill & Melinda Gates Foundation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demografia / Inquéritos Epidemiológicos / Modelos Estatísticos / Mortalidade da Criança Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Child / Child, preschool / Female / Humans / Infant / Male País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demografia / Inquéritos Epidemiológicos / Modelos Estatísticos / Mortalidade da Criança Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Child / Child, preschool / Female / Humans / Infant / Male País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article