Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.
Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.
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DOI：
10.3389/fdata.2022.793606
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发表时间：
2022
影响因子：
3.1
通讯作者：
Escobar, Michael David
中科院分区：
文献类型：
--
作者：
Jana, Sayantee;Sutton, Mitchell;Mollayeva, Tatyana;Chan, Vincy;Colantonio, Angela;Escobar, Michael David
多重测试程序（Multiple testing procedures， MTP）在生物统计学的各个领域，特别是在统计遗传学领域越来越受欢迎。然而，在利用国际疾病和相关健康问题统计分类第10版（ICD-10）编码的越来越多和复杂的健康管理数据的伤害监测研究中，很少有研究涉及MTP并讨论其应用和挑战。我们的目的是将MTP应用于创伤性脑损伤（TBI）前共病的人群背景中，这是最致残性的损伤之一，以找到可以针对初级损伤预防的共病子集。总共有2,600个ICD-10代码用于评估TBI和合并症之间的关系，其中235,003名TBI患者，在匹配的非TBI患者数据集上。对每个2,600个ICD-10代码进行了McNemar测试，并使用Benjamini-Yekutieli程序进行了适当的多次测试调整。为了研究关联的大小和方向，构建了具有95%置信区间的优势比。Benjamini-Yekutieli程序捕获了2,600个ICD-10代码中的684个，作为与TBI事件呈正相关的代码，减少了后续分析和理解的有效代码数量。我们的研究结果说明了MTP在TBI研究中的数据挖掘和降维的效用，利用大的健康管理数据来支持损伤监测研究，并产生损伤预防的想法。
Multiple testing procedures (MTP) are gaining increasing popularity in various fields of biostatistics, especially in statistical genetics. However, in injury surveillance research utilizing the growing amount and complexity of health-administrative data encoded in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10), few studies involve MTP and discuss their applications and challenges. We aimed to apply MTP in the population-wide context of comorbidity preceding traumatic brain injury (TBI), one of the most disabling injuries, to find a subset of comorbidity that can be targeted in primary injury prevention. In total, 2,600 ICD-10 codes were used to assess the associations between TBI and comorbidity, with 235,003 TBI patients, on a matched data set of patients without TBI. McNemar tests were conducted on each 2,600 ICD-10 code, and appropriate multiple testing adjustments were applied using the Benjamini-Yekutieli procedure. To study the magnitude and direction of associations, odds ratios with 95% confidence intervals were constructed. Benjamini-Yekutieli procedure captured 684 ICD-10 codes, out of 2,600, as codes positively associated with a TBI event, reducing the effective number of codes for subsequent analysis and comprehension. Our results illustrate the utility of MTP for data mining and dimension reduction in TBI research utilizing big health-administrative data to support injury surveillance research and generate ideas for injury prevention.
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影响因子：
2.7
作者：
Benjamini, Yoav;Krieger, Abba M.;Yekutieli, Daniel
通讯作者：
Yekutieli, Daniel
DOI：
10.1176/appi.neuropsych.17.3.350
发表时间：
2005-06-01
影响因子：
2.9
作者：
Boake, C;McCauley, SR;Diaz-Marchan, PJ
通讯作者：
Diaz-Marchan, PJ
影响因子：
2.8
作者：
Cunningham, RM;Maio, RF;Zink, BJ
通讯作者：
Zink, BJ
影响因子：
5.8
作者：
Carvajal-Rodriguez, Antonio
通讯作者：
Carvajal-Rodriguez, Antonio
影响因子：
11.4
作者：
Jamieson, Lisa M.;Harrison, James E.;Berry, Jesia G.
通讯作者：
Berry, Jesia G.