Franchesca Arias1,2,3, Fan Chen1,4, Tamara G Fong1,2,3, Haley Shiff5, Margarita Alegria6,7, Edward R Marcantonio3,8,9, Yun Gou1,4, Richard N Jones10, Thomas G Travison3,4, Eva M Schmitt1, Amy J H Kind11,12, Sharon K Inouye1,3,9. 1. Aging Brain Center, Hinda and Arthur Marcus Institute for Aging Research at the Hebrew SeniorLife, Boston, Massachusetts, USA. 2. Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 3. Harvard Medical School, Boston, Massachusetts, USA. 4. Biostatistics and Data Sciences, Hinda and Arthur Marcus Institute for Aging Research at the Hebrew SeniorLife, Boston, Massachusetts, USA. 5. Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA. 6. Disparities Research Unit, Massachusetts General Hospital, Boston, Massachusetts, USA. 7. Department of Medicine and Psychiatry, Harvard Medical School, Boston, Massachusetts, USA. 8. Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 9. Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 10. Department of Psychiatry and Human Behavior, Brown University, Warren Alpert Medical School, Providence, Rhode Island, USA. 11. Health Services and Care Research Program, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA. 12. Madison VA Geriatrics Research Education and Clinical Center, Middleton VA Hospital, Madison, Wisconsin, USA.
Abstract
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. DESIGN: 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. SETTING: Two academic medical centers in Boston, MA. PARTICIPANTS: A total of 560 older adults, aged 70 years or older, undergoing major noncardiac surgery. INTERVENTION: The Area Deprivation Index (ADI) was used to characterize each neighborhood's socioeconomic disadvantage. MEASUREMENTS: 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). RESULTS: 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. CONCLUSIONS: 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.
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. DESIGN: 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. SETTING: Two academic medical centers in Boston, MA. PARTICIPANTS: A total of 560 older adults, aged 70 years or older, undergoing major noncardiac surgery. INTERVENTION: The Area Deprivation Index (ADI) was used to characterize each neighborhood's socioeconomic disadvantage. MEASUREMENTS: 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). RESULTS: 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. CONCLUSIONS: 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.
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