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评估 InterVA 模型在判断亚的斯亚贝巴成年人中因口述尸检导致的艾滋病死亡率中的应用。

Evaluating the InterVA model for determining AIDS mortality from verbal autopsies in the adult population of Addis Ababa.

机构信息

Addis Ababa Mortality Surveillance Project, Faculty of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.

出版信息

Trop Med Int Health. 2010 May;15(5):547-53. doi: 10.1111/j.1365-3156.2010.02484.x. Epub 2010 Mar 1.

Abstract

OBJECTIVE

To evaluate the performance of a verbal autopsy (VA) expert algorithm (the InterVA model) for diagnosing AIDS mortality against a reference standard from hospital records that include HIV serostatus information in Addis Ababa, Ethiopia.

METHODS

Verbal autopsies were conducted for 193 individuals who visited a hospital under surveillance during terminal illness. Decedent admission diagnosis and HIV serostatus information are used to construct two reference standards (AIDS vs. other causes of death and TB/AIDS vs. other causes). The InterVA model is used to interpret the VA interviews; and the sensitivity, specificity and cause-specific mortality fractions are calculated as indicators of the diagnostic accuracy of the InterVA model.

RESULTS

The sensitivity and specificity of the InterVA model for diagnosing AIDS are 0.82 (95% CI: 0.74-0.89) and 0.76 (95% CI: 0.64-0.86), respectively. The sensitivity and specificity for TB/AIDS are 0.91 (95% CI: 0.85-0.96) and 0.78 (95% CI: 0.63-0.89), respectively. The AIDS-specific mortality fraction estimated by the model is 61.7% (95% CI: 54-69%), which is close to 64.7% (95% CI: 57-72%) in the reference standard. The TB/AIDS mortality fraction estimated by the model is 73.6% (95% CI: 67-80%), compared to 74.1% (95% CI: 68-81%) in the reference standard.

CONCLUSION

The InterVA model is an easy to use and cheap alternative to physician review for assessing AIDS mortality in populations without vital registration and medical certification of causes of death. The model seems to perform better when TB and AIDS are combined, but the sample is too small to statistically confirm that.

摘要

目的

评估一种基于口头尸检(VA)专家算法(InterVA 模型)的性能,该算法用于诊断在埃塞俄比亚亚的斯亚贝巴的医院记录中包含 HIV 血清学信息的艾滋病死亡率,该记录用作参考标准。

方法

对 193 名在临终期间前往监测医院的个体进行口头尸检。使用死亡时的入院诊断和 HIV 血清学信息构建两个参考标准(艾滋病与其他死因和结核病/艾滋病与其他死因)。使用 InterVA 模型解释 VA 访谈;并计算敏感性、特异性和病因特异性死亡率分数作为 InterVA 模型诊断准确性的指标。

结果

InterVA 模型诊断艾滋病的敏感性和特异性分别为 0.82(95%置信区间:0.74-0.89)和 0.76(95%置信区间:0.64-0.86)。TB/艾滋病的敏感性和特异性分别为 0.91(95%置信区间:0.85-0.96)和 0.78(95%置信区间:0.63-0.89)。模型估计的艾滋病特异性死亡率分数为 61.7%(95%置信区间:54-69%),接近参考标准中的 64.7%(95%置信区间:57-72%)。模型估计的结核病/艾滋病死亡率分数为 73.6%(95%置信区间:67-80%),而参考标准中的分数为 74.1%(95%置信区间:68-81%)。

结论

对于没有生命登记和死因医学认证的人群,InterVA 模型是一种简单易用且廉价的替代医生审查评估艾滋病死亡率的方法。当结核病和艾滋病合并时,该模型似乎表现更好,但由于样本量太小,无法从统计学上确认这一点。

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