Aging Brain Center, Hinda and Arthur Marcus Institute for Aging Research at the Hebrew SeniorLife, Boston, Massachusetts, USA.
Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
J Am Geriatr Soc. 2020 Dec;68(12):2863-2871. doi: 10.1111/jgs.16782. Epub 2020 Aug 31.
BACKGROUND/OBJECTIVES: Delirium is a common postoperative complication associated with prolonged length of stay, hospital readmission, and premature mortality. We explored the association between neighborhood-level characteristics and delirium incidence and severity, and compared neighborhood- with individual-level indicators of socioeconomic status in predicting delirium incidence.
A prospective observational cohort of patients enrolled between June 18, 2010, and August 8, 2013. Baseline interviews were conducted before surgery, and delirium/delirium severity was evaluated daily during hospitalization. Research staff evaluating delirium were blinded to baseline cognitive status.
Two academic medical centers in Boston, MA.
A total of 560 older adults, aged 70 years or older, undergoing major noncardiac surgery.
The Area Deprivation Index (ADI) was used to characterize each neighborhood's socioeconomic disadvantage.
Delirium was assessed using the Confusion Assessment Method (CAM) long form. Delirium severity was calculated using the highest value of CAM Severity score (CAM-S) occurring during daily hospital assessments (CAM-S Peak).
Residing in the most disadvantaged neighborhoods (ADI > 44) was associated with a higher risk of incident delirium (12/26; 46%), compared with the least disadvantaged neighborhoods (122/534; 23%) (risk ratio (RR) (95% confidence interval (CI)) = 2.0 (1.3-3.1). The CAM-S Peak score was significantly associated with ADI (Spearman rank correlation, ρ = 0.11; P = .009). Mean CAM-S Peak scores generally rose from 3.7 to 5.3 across levels of increasing neighborhood disadvantage. The RR (95% CI) values associated with individual-level markers of socioeconomic status and cultural background were: 1.2 (0.9-1.7) for education of 12 years or less; 1.3 (0.8-2.1) for non-White race; and 1.7 (1.1-2.6) for annual household income of less than $20,000. None of these individual-level markers exceeded the ADI in terms of effect size or significance for prediction of delirium risk.
Neighborhood-level makers of social disadvantage are associated with delirium incidence and severity, and demonstrated an exposure-response relationship. Future studies should consider contextual-level metrics, such as the ADI, as risk markers of social disadvantage that can help to guide delirium treatment and prevention.
背景/目的:谵妄是一种常见的术后并发症,与住院时间延长、医院再入院和过早死亡有关。我们探讨了邻里特征与谵妄发生率和严重程度之间的关系,并比较了邻里和个体社会经济地位指标在预测谵妄发生率方面的作用。
一项前瞻性观察队列研究,纳入 2010 年 6 月 18 日至 2013 年 8 月 8 日之间的患者。在手术前进行基线访谈,并在住院期间每天评估谵妄/谵妄严重程度。评估谵妄的研究人员对基线认知状态不知情。
马萨诸塞州波士顿的两个学术医疗中心。
总共 560 名年龄在 70 岁或以上的老年人,接受非心脏大手术。
使用区域贫困指数(ADI)来描述每个社区的社会经济劣势。
使用认知评估方法(CAM)长表评估谵妄。使用每日医院评估中出现的最高 CAM 严重程度评分(CAM-S)计算谵妄严重程度(CAM-S 峰值)。
与最不利邻里(ADI>44)相比,居住在最不利邻里(26/12;46%)的患者发生谵妄的风险更高,而居住在最不利邻里(534/122;23%)的患者发生谵妄的风险更高(风险比(RR)(95%置信区间(CI))=2.0(1.3-3.1)。CAM-S 峰值与 ADI 显著相关(Spearman 秩相关,ρ=0.11;P=0.009)。CAM-S 峰值的平均得分通常从 3.7 上升到 5.3,而邻里劣势程度逐渐增加。与个体社会经济地位和文化背景的个体水平标志物相关的 RR(95%CI)值分别为:接受 12 年或以下教育(1.2(0.9-1.7));非白人种族(1.3(0.8-2.1));家庭年收入低于 20,000 美元(1.7(1.1-2.6))。这些个体水平标志物在预测谵妄风险方面的效应大小或显著性均未超过 ADI。
邻里社会劣势的标志物与谵妄的发生率和严重程度相关,并表现出暴露-反应关系。未来的研究应考虑社区层面的指标,如 ADI,作为社会劣势的风险标志物,有助于指导谵妄的治疗和预防。