Halabi Cathra, Izzy Saef, DiGiorgio Anthony M, Mills Hunter, Radmanesh Farid, Yue John K, Ashouri Choshali Habibeh, Schenk Gundolf, Israni Sharat, Zafonte Ross, Manley Geoffrey T
Department of Neurology, University of California, San Francisco.
Weill Institute for Neurosciences, University of California, San Francisco.
JAMA Netw Open. 2024 Dec 2;7(12):e2450499. doi: 10.1001/jamanetworkopen.2024.50499.
Traumatic brain injury (TBI) is associated with chronic medical conditions. Evidence from diverse clinical administrative datasets may improve care delivery.
To characterize post-TBI risk of incident neuropsychiatric and medical conditions in a California health care system administrative database and validate findings from a Massachusetts dataset.
DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, prospective longitudinal cohorts using data from 5 University of California health care settings between 2013 and 2022 were studied. Patients aged 18 years and older with mild (mTBI) or moderate to severe TBI (msTBI) were included. Unexposed individuals were propensity matched by age, race and ethnicity, sex, University of California site, insurance coverage, area deprivation index (ADI) score, and duration from index date to most recent clinical encounter. Patients with study comorbidities of interest before the index date were excluded. Data were analyzed August to October 2024.
TBI.
International Classification of Diseases, Ninth Revision (ICD-9) and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes were used to identify patients with TBI and patients with up to 22 comorbidities within neurological, psychiatric, cardiovascular, and endocrine umbrella groupings. Cox proportional hazard models were used to generate yearly hazard ratios (HRs) from 6 months up to 10 years after a TBI. Models were further stratified by age and ADI score.
The study consisted of 20 400 patients (9264 female [45.4%]; 1576 Black [7.7%], 3944 Latinx [19.3%], and 10 480 White [51.4%]), including 5100 patients with mTBI (median [IQR] age, 36.0 [25.0-51.0] years), 5100 patients with msTBI (median [IQR age, 35.0 [25.0-52.0] years), and 10 200 matched patients in the control group (median [IQR] age, 36.0 [25.0-51.0] years). By ADI score quintile, there were 2757 unexposed patients (27.0%), 1561 patients with mTBI (30.6%), and 1550 patients with msTBI (30.4%) in the lowest (1-2) quintiles and 1523 unexposed patients (14.9%), 769 patients with mTBI (15.1%), and 804 patients with msTBI (15.8%) in the highest quintiles (9-10). TBI of any severity was associated with increased risk of nearly all conditions (mTBI HRs ranged from 1.30; 95% CI, 1.07-1.57 for hypothyroidism to 4.06; 95% CI, 3.06-5.39 for dementia, and msTBI HRs ranged from 1.35; 95% CI, 1.12-1.62 for hypothyroidism to 3.45; 95% CI, 2.73-4.35 for seizure disorder). Separate age and ADI stratifications revealed patient populations at increased risk, including middle-age adults (ages 41-60 years), with increased risk of suicidality (mTBI: HR, 4.84; 95% CI, 3.01-7.78; msTBI: HR, 4.08; 95% CI, 2.51-6.62). Suicidality risk persisted for patients with mTBI in the high ADI subgroup (HR, 2.23; 95% CI, 1.36-3.66).
In this cohort study, TBI was a risk factor associated with treatable incident neuropsychiatric and other medical conditions, validating similar findings from a Massachusetts dataset. Additional exploratory findings suggested varying demographic and regional risk patterns, which may generate causal hypotheses for further research and inform clinical surveillance strategies.
创伤性脑损伤(TBI)与慢性疾病有关。来自不同临床管理数据集的证据可能会改善医疗服务。
在加利福尼亚州医疗系统管理数据库中描述TBI后发生神经精神疾病和其他疾病的风险,并验证来自马萨诸塞州数据集的研究结果。
设计、设置和参与者:在这项队列研究中,对2013年至2022年期间使用加利福尼亚大学5个医疗场所数据的前瞻性纵向队列进行了研究。纳入了年龄在18岁及以上的轻度(mTBI)或中度至重度TBI(msTBI)患者。未暴露个体根据年龄、种族和族裔、性别、加利福尼亚大学医疗场所、保险覆盖范围、地区贫困指数(ADI)得分以及从索引日期到最近一次临床就诊的持续时间进行倾向匹配。排除索引日期之前患有感兴趣的研究合并症的患者。数据于2024年8月至10月进行分析。
TBI。
使用国际疾病分类第九版(ICD - 9)和国际疾病统计分类第十版临床修订本(ICD - 10 - CM)编码来识别TBI患者以及在神经、精神、心血管和内分泌总体分组中患有多达22种合并症的患者。使用Cox比例风险模型生成TBI后6个月至10年的年度风险比(HR)。模型进一步按年龄和ADI得分进行分层。
该研究包括20400名患者(9264名女性[45.4%];1576名黑人[7.7%],3944名拉丁裔[19.3%],10480名白人[51.4%]),其中包括5100名mTBI患者(年龄中位数[四分位间距]为36.0[25.0 - 51.0]岁),5100名msTBI患者(年龄中位数[四分位间距]为35.0[25.0 - 52.0]岁),以及对照组中10200名匹配患者(年龄中位数[四分位间距]为36.0[25.0 - 51.0]岁)。按ADI得分五分位数划分,在最低(1 - 2)五分位数中有2757名未暴露患者(27.0%),1561名mTBI患者(30.6%),1550名msTBI患者(30.4%);在最高五分位数(9 - 10)中有1523名未暴露患者(14.9%),769名mTBI患者(15.1%),804名msTBI患者(15.8%)。任何严重程度的TBI都与几乎所有疾病的风险增加相关(mTBI的HR范围从甲状腺功能减退的1.30;95%CI,1.07 - 1.57到痴呆的4.06;95%CI,3.06 - 5.39,msTBI的HR范围从甲状腺功能减退的1.35;95%CI,1.12 - 1.62到癫痫发作障碍的3.45;95%CI,2.73 - 4.35)。单独的年龄和ADI分层显示了风险增加的患者群体,包括中年成年人(41 - 60岁),自杀风险增加(mTBI:HR,4.84;95%CI,3.01 - 7.78;msTBI:HR,4.08;95%CI,2.51 - 6.62)。高ADI亚组中mTBI患者的自杀风险持续存在(HR,2.23;95%CI,1.36 - 3.66)。
在这项队列研究中,TBI是与可治疗的神经精神疾病和其他疾病相关的风险因素,验证了来自马萨诸塞州数据集的类似研究结果。其他探索性发现表明了不同的人口统计学和区域风险模式,这可能为进一步研究产生因果假设并为临床监测策略提供信息。