Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event.
Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event.
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DOI：
10.1038/s41598-022-08782-0
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发表时间：
2022-04-04
影响因子：
4.6
通讯作者：
Escobar MD
中科院分区：
文献类型：
--
作者：
Mollayeva T;Tran A;Chan V;Colantonio A;Sutton M;Escobar MD
几个世纪以来，创伤性脑损伤（TBI）的研究一直集中在对个人，社会和环境过程的历史观察和分析上，这些过程已经被单独研究。如今，计算实现和庞大的患者数据存储库可以实现对个人、社会和环境过程的并发分析，从而深入了解健康状态随时间的变化。我们应用计算和数据可视化技术对加拿大235，003名TBI患者长达十年的健康记录进行分类，从之前的伤害到伤害事件本身。我们的研究结果强调，TBI的健康状况转变模式沿着伴随着并发症的预测出现，其中许多疾病，社会和环境逆境在伤害和伤害严重程度的外部原因中得到反映。TBI之前的健康状况与受伤事件时的健康状况之间的最强关联是多身体系统病理学与高级年龄相关脑病理学网络之间的关联。健康状况在时间连续体上的相互交织的方面可以影响伤后轨迹，并且应该在TBI风险分析中加以考虑，以改善预防，诊断和护理。
For centuries, the study of traumatic brain injury (TBI) has been centred on historical observation and analyses of personal, social, and environmental processes, which have been examined separately. Today, computation implementation and vast patient data repositories can enable a concurrent analysis of personal, social, and environmental processes, providing insight into changes in health status transitions over time. We applied computational and data visualization techniques to categorize decade-long health records of 235,003 patients with TBI in Canada, from preceding injury to the injury event itself. Our results highlighted that health status transition patterns in TBI emerged along with the projection of comorbidity where many disorders, social and environmental adversities preceding injury are reflected in external causes of injury and injury severity. The strongest associations between health status preceding TBI and health status at the injury event were between multiple body system pathology and advanced age-related brain pathology networks. The interwoven aspects of health status on a time continuum can influence post-injury trajectories and should be considered in TBI risk analysis to improve prevention, diagnosis, and care.
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DOI：
10.1136/bmj.h6781
发表时间：
2016-01-26
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Barker AL;Morello RT;Wolfe R;Brand CA;Haines TP;Hill KD;Brauer SG;Botti M;Cumming RG;Livingston PM;Sherrington C;Zavarsek S;Lindley RI;Kamar J
通讯作者：
Kamar J
影响因子：
8.8
作者：
Bertrand, Pierre-Marie;Pereira, Bruno;Lautrette, Alexandre
通讯作者：
Lautrette, Alexandre
影响因子：
6.6
作者：
Chang, Hsuan-Kan;Hsu, Ju-Wei;Chen, Mu-Hong
通讯作者：
Chen, Mu-Hong
影响因子：
2.4
作者：
Ailabouni, Nagham;Mangin, Dee;Nishtala, Prasad S.
通讯作者：
Nishtala, Prasad S.
影响因子：
3.4
作者：
Gagne, Mathieu;Moore, Lynne;Kuimi, Brice Lionel Batomen
通讯作者：
Kuimi, Brice Lionel Batomen