Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya.
Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya.
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DOI：
10.1186/1741-7015-12-65
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发表时间：
2014-04-22
期刊：
影响因子：
9.3
通讯作者：
Williams TN
中科院分区：
文献类型：
--
作者：
Ndila C;Bauni E;Nyirongo V;Mochamah G;Makazi A;Kosgei P;Nyutu G;Macharia A;Kapesa S;Byass P;Williams TN
镰状细胞病(SCD)在撒哈拉以南非洲(SSA)的许多地区很常见，在那里它与高早期死亡率有关。在没有新生儿筛查的情况下，SCD儿童中的大多数死亡都没有被发现和记录。因此，作为SSA儿童死亡的主要原因，SCD没有得到应有的重视。在目前的研究中，我们探索了口头尸检(VA)作为将儿童潜在死因(COD)归因于SCD的潜在用途。我们使用了2007年世卫组织样本生命登记口头尸检(SAVY)VA工具来确定肯尼亚Kilifi卫生和人口监测系统(KHDSS)儿童居民的COD，他们于2008年1月至2011年4月死亡。使用基于世卫组织国际疾病分类第10版(ICD-10)的COD类别和根据2012年世卫组织VA标准提取数据后使用InterVA-4概率模型，通过医生评审(医生编码口头尸检，PCVA)对VA进行编码。这两种方法都是根据两个黄金标准之一进行验证的：医院ICD-10医生为在Kilifi区医院(KIH)死亡的儿童分配的COD，以及在可用情况下，实验室确认社区死亡儿童的SCD状态。总体而言，根据PCVA和InterVA-4模型，6%和5%的死亡分别归因于SCD。死亡病例中，22%发生在医院，PCVA与医院医生诊断SCD的符合率(AC1)为95.5%，InterVA-4与医院医生诊断的符合率为96.9%。15%的死亡可获得SCD状态的确认性实验室证据，其中AC1对PCVA的发生率为87.5%。最近的其他研究和这项研究的临时数据概述了SCD作为发展中国家许多地区儿童死亡原因的重要性，有助于将SCD的具体问题纳入2012年版本的世卫组织VA文书，SCD的具体代码现已列入WHO和InterVA-4化学需氧量清单。通过这些修改，退伍军人事务部可能提供一种有用的方法来量化SCD对非洲农村社区儿童死亡率的贡献。还需要进一步的研究，以评估我们的研究结果在我们当地背景之外的普适性。
Sickle cell disease (SCD) is common in many parts of sub-Saharan Africa (SSA), where it is associated with high early mortality. In the absence of newborn screening, most deaths among children with SCD go unrecognized and unrecorded. As a result, SCD does not receive the attention it deserves as a leading cause of death among children in SSA. In the current study, we explored the potential utility of verbal autopsy (VA) as a tool for attributing underlying cause of death (COD) in children to SCD. We used the 2007 WHO Sample Vital Registration with Verbal Autopsy (SAVVY) VA tool to determine COD among child residents of the Kilifi Health and Demographic Surveillance System (KHDSS), Kenya, who died between January 2008 and April 2011. VAs were coded both by physician review (physician coded verbal autopsy, PCVA) using COD categories based on the WHO International Classification of Diseases 10th Edition (ICD-10) and by using the InterVA-4 probabilistic model after extracting data according to the 2012 WHO VA standard. Both of these methods were validated against one of two gold standards: hospital ICD-10 physician-assigned COD for children who died in Kilifi District Hospital (KDH) and, where available, laboratory confirmed SCD status for those who died in the community. Overall, 6% and 5% of deaths were attributed to SCD on the basis of PCVA and the InterVA-4 model, respectively. Of the total deaths, 22% occurred in hospital, where the agreement coefficient (AC1) for SCD between PCVA and hospital physician diagnosis was 95.5%, and agreement between InterVA-4 and hospital physician diagnosis was 96.9%. Confirmatory laboratory evidence of SCD status was available for 15% of deaths, in which the AC1 against PCVA was 87.5%. Other recent studies and provisional data from this study, outlining the importance of SCD as a cause of death in children in many parts of the developing world, contributed to the inclusion of specific SCD questions in the 2012 version of the WHO VA instruments, and a specific code for SCD has now been included in the WHO and InterVA-4 COD listings. With these modifications, VA may provide a useful approach to quantifying the contribution of SCD to childhood mortality in rural African communities. Further studies will be needed to evaluate the generalizability of our findings beyond our local context.
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DOI：
10.1086/599834
发表时间：
2009-07-15
期刊：
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子：
--
作者：
Komba AN;Makani J;Sadarangani M;Ajala-Agbo T;Berkley JA;Newton CR;Marsh K;Williams TN
通讯作者：
Williams TN
影响因子：
7.7
作者：
Scott, J. Anthony G.;Bauni, Evasius;Williams, Thomas N.
通讯作者：
Williams, Thomas N.
影响因子：
4.3
作者：
DATTA N;MAND M;KUMAR V
通讯作者：
KUMAR V
DOI：
10.1348/000711006x126600
发表时间：
2008-05-01
影响因子：
2.6
作者：
Gwet, Kilem Li
通讯作者：
Gwet, Kilem Li
影响因子：
3.3
作者：
Kahn, K;Tollman, SM;Gear, JSS
通讯作者：
Gear, JSS