Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.

Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.
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DOI:
10.1093/aje/kwn249
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发表时间:
2008-12-01
影响因子:
5
通讯作者:
Harrison LH
Harrison LH
中科院分区:
医学2区
文献类型:
--
作者:
Pacheco AG;Saraceni V;Tuboi SH;Moulton LH;Chaisson RE;Cavalcante SC;Durovni B;Faulhaber JC;Golub JE;King B;Schechter M;Harrison LH

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失访是人类免疫缺陷病毒(HIV)患者队列中偏差的一个主要来源,并可能导致死亡率的低估。作者开发了一种分层确定性链接算法,主要用于艾滋病毒感染者群体,以恢复失访患者的生命状态信息。巴西里约热内卢 2 个队列中已知死亡患者的数据以及里约热内卢州 1999-2006 年死亡率数据库的数据用于验证该算法。在不遗漏任何信息的情况下,全自动程序的灵敏度为 92.9%,特异性为 100%。当自动化程序与文书审查相结合时,在死亡率为 5%、母亲姓名缺失 20% 的情况下,敏感性达到 96.5%,特异性达到 100%。在实际应用中,该算法显着增加了队列中的死亡率并降低了失访率。 23.9% 的匹配记录并未将 HIV 或获得性免疫缺陷综合症作为死因,这一发现强化了搜索全因死亡率数据库的必要性,并提醒人们可能低估了死亡率。这些结果表明,该算法足够准确,可以恢复队列研究中失访患者的生命状态信息。
Loss to follow-up is a major source of bias in cohorts of patients with human immunodeficiency virus (HIV) and could lead to underestimation of mortality. The authors developed a hierarchical deterministic linkage algorithm to be used primarily with cohorts of HIV-infected persons to recover vital status information for patients lost to follow-up. Data from patients known to be deceased in 2 cohorts in Rio de Janeiro, Brazil, and data from the Rio de Janeiro State mortality database for 1999–2006 were used to validate the algorithm. A fully automated procedure yielded a sensitivity of 92.9% and specificity of 100% when no information was missing. When the automated procedure was combined with clerical review, in a scenario of 5% death prevalence and 20% missing mothers’ names, sensitivity reached 96.5% and specificity 100%. In a practical application, the algorithm significantly increased death rates and decreased the rate of loss to follow-up in the cohorts. The finding that 23.9% of matched records did not give HIV or acquired immunodeficiency syndrome as the cause of death reinforces the need to search all-cause mortality databases and alerts for possible underestimation of death rates. These results indicate that the algorithm is accurate enough to recover vital status information on patients lost to follow-up in cohort studies.
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