The association between an ultrabrief cognitive screening in older adults and hospital outcomes

Structural integrity of the anterior mid-cingulate cortex contributes to resilience to delirium in SuperAging

Despite its devastating clinical and societal impact, approaches to treat delirium in older adults remain elusive, making it important to identify factors that may confer resilience to this syndrome. Here, we investigated a cohort of 93 cognitively normal older patients undergoing elective surgery recruited as part of the Successful Aging after Elective Surgery study. Each participant was classified either as a SuperAger (n = 19) or typically aging older adult (n = 74) based on neuropsychological criteria, where the former was defined as those older adults whose memory function rivals that of young adults. We compared these subgroups to examine the role of preoperative memory function in the incidence and severity of postoperative delirium. We additionally investigated the association between indices of postoperative delirium symptoms and cortical thickness in functional networks implicated in SuperAging based on structural magnetic resonance imaging data that were collected preoperatively. We found that SuperAging confers the real-world benefit of resilience to delirium, as shown by lower (i.e. zero) incidence of postoperative delirium and decreased severity scores compared with typical older adults. Furthermore, greater baseline cortical thickness of the anterior mid-cingulate cortex—a key node of the brain’s salience network that is also consistently implicated in SuperAging—predicted lower postoperative delirium severity scores in all patients. Taken together, these findings suggest that baseline memory function in older adults may be a useful predictor of postoperative delirium risk and severity and that superior memory function may contribute to resilience to delirium. In particular, the integrity of the anterior mid-cingulate cortex may be a potential biomarker of resilience to delirium, pointing to this region as a potential target for preventive or therapeutic interventions designed to mitigate the risk or consequences of developing this prevalent clinical syndrome.

Performance of Electronic Prediction Rules for Prevalent Delirium at Hospital Admission

IMPORTANCE

Delirium at admission is associated with increased hospital morbidity and mortality, but it may be missed in up to 70% of cases. Use of a predictive algorithm in an electronic medical record (EMR) system could provide critical information to target assessment of those with delirium at admission.

OBJECTIVES

To develop and assess a prediction rule for delirium using 2 populations of veterans and compare this rule with previously confirmed rules.

DESIGN, SETTING, AND PARTICIPANTS

In a diagnostic study, randomly selected EMRs of hospitalized veterans from the Veterans Affairs (VA) External Peer Review Program at 118 VA medical centers with inpatient facilities were reviewed for delirium risk factors associated with the National Institute for Health and Clinical Excellence (NICE) delirium rule in a derivation cohort (October 1, 2012, to September 30, 2013) and a confirmation cohort (October 1, 2013, to March 31, 2014). Delirium within 24 hours of admission was identified using key word terms. A total of 39 377 veterans 65 years or older who were admitted to a VA medical center for congestive heart failure, acute coronary syndrome, community-acquired pneumonia, and chronic obstructive pulmonary disease were included in the study.

EXPOSURE

The EMR calculated delirium risk.

MAIN OUTCOMES AND MEASURES

Delirium at admission as identified by trained nurse reviewers was the main outcome measure. Random forest methods were used to identify accurate risk factors for prevalent delirium. A prediction rule for prevalent delirium was developed, and its diagnostic accuracy was tested in the confirmation cohort. This consolidated NICE rule was compared with previously confirmed scoring algorithms (electronic NICE and Pendlebury NICE).

RESULTS

A total of 27 625 patients were included in the derivation cohort (28 118 [92.2%] male; mean [SD] age, 75.95 [8.61] years) and 11 752 in the confirmation cohort (11 536 [98.2%] male; mean [SD] age, 75.43 [8.55] years). Delirium at admission was identified in 2343 patients (8.5%) in the derivation cohort and 882 patients (7.0%) in the confirmation cohort. Modeling techniques identified cognitive impairment, infection, sodium level, and age of 80 years or older as the dominant risk factors. The consolidated NICE rule (area under the receiver operating characteristic [AUROC] curve, 0.91; 95% CI, 0.91-0.92; P < .001) had significantly higher discriminatory function than the eNICE rule (AUROC curve, 0.81; 95% CI, 0.80-0.82; P < .001) or Pendlebury NICE rule (AUROC curve, 0.87; 95% CI, 0.86-0.88; P < .001). These findings were confirmed in the confirmation cohort.

CONCLUSIONS AND RELEVANCE

This analysis identified preexisting cognitive impairment, infection, sodium level, and age of 80 years or older as delirium screening targets. Use of this algorithm in an EMR system could direct clinical assessment efforts to patients with delirium at admission.

Focusing on Inattention: The Diagnostic Accuracy of Brief Measures of Inattention for Detecting Delirium

BACKGROUND

Delirium is frequently missed in most clinical settings. Brief delirium assessments are needed.

OBJECTIVE

To determine the diagnostic accuracy of reciting the months of year backwards (MOTYB) from December to July (MOTYB-6) and December to January (MOTYB-12) for delirium as diagnosed by a psychiatrist and to explore the diagnostic accuracies of the following other brief attention tasks: (1) spell the word "LUNCH" backwards, (2) recite the days of the week backwards, (3) 10-letter vigilance "A" task, and (4) 5 picture recognition task.

DESIGN

Preplanned secondary analysis of a prospective observational study.

SETTING

Emergency department located within an academic, tertiary care hospital.

PARTICIPANTS

234 acutely ill patients who were =65 years old.

MEASUREMENTS

The inattention tasks were administered by a physician. The reference standard for delirium was a comprehensive psychiatrist assessment using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria. Sensitivities and specificities were calculated.

RESULTS

Making any error on the MOTYB-6 task had a sensitivity of 80.0% (95% confidence interval [CI], 60.9%-91.1%) and specificity of 57.1% (95% CI, 50.4%- 63.7%). Making any error on the MOTYB-12 task had a sensitivity of 84.0% (95% CI, 65.4%-93.6%) and specificity of 51.9% (95% CI, 45.2%-58.5%). The best combination of sensitivity and specificity was reciting the days of the week backwards task; if the patient made any error, this was 84.0% (95% CI, 65.4%-93.6%) sensitive and 81.9% (95% CI, 76.1%-86.5%) specific.

CONCLUSIONS

MOTYB-6 and MOTYB-12 had very good sensitivities but had modest specificities for delirium, limiting their use as a standalone assessment. Reciting the days of the week backwards appeared to have the best combination of sensitivity and specificity for delirium.

Exploring Delirium's Heterogeneity: Association Between Arousal Subtypes at Initial Presentation and 6-Month Mortality in Older Emergency Department Patients

OBJECTIVES

To determine how delirium subtyped by level of arousal at initial presentation affects 6-month mortality.

DESIGN

This was a preplanned secondary analysis of two prospective cohort studies.

SETTING

Academic tertiary care emergency department (ED).

PARTICIPANTS

1,084 ED patients who were 65 years old or older.

MEASUREMENTS

At the time of enrollment, trained research personnel performed the Confusion Assessment Method for the Intensive Care Unit and the Richmond Agitation Sedation Score to determine delirium and level of arousal, respectively. Patients were categorized as having no delirium, delirium with normal arousal, delirium with decreased arousal, or delirium with increased arousal. Death was ascertained by medical record review and the Social Security Death Index. Cox proportional hazard regression was used to analyze the association between delirium arousal subtypes and 6-month mortality.

RESULTS

Delirium with normal arousal was the only subtype that was significantly associated with increased 6-month mortality (hazard ratio [HR]: 3.1, 95% confidence interval [CI]: 1.3-7.4) compared with the no delirium group after adjusting for confounders. The HRs for delirium with decreased and increased arousal were 1.4 (95% CI: 0.9-2.1) and 1.3 (95% CI: 0.3-5.4), respectively.

CONCLUSIONS

Delirious ED patients with normal arousal at initial presentation had a threefold increased hazard of death within 6 months compared with patients without delirium. There was a trend towards increased hazard of death in delirious ED patients with decreased arousal, but this relationship did not reach statistical significance. These data suggest that subtyping delirium by arousal may have prognostic value but requires confirmation with a larger study.

Validation of the delirium observation screening scale in a hospitalized older population

Delirium is challenging to diagnose in older populations. It is often reversible, and when detected, treatment can improve patient outcomes. Delirium detection currently relies on trained staff to conduct neurocognitive interviews. The Delirium Observation Screening Scale (DOS) is a screen designed to allow faster, easier identification of delirium. In this validation study, conducted at an academic tertiary care center, we attempted to determine the accuracy of the DOS as a delirium screening tool in hospitalized patients over 64 years old. We compared DOS results to a validated delirium diagnostic tool, the Delirium Rating Scale-Revised-98. We also assess the user-friendliness of the DOS by nurses via electronic survey. In 101 assessments of 54 patients, the DOS had sensitivity of 90% and specificity of 91% for delirium. The DOS is an accurate and easy way to screen for delirium in older inpatients. Journal of Hospital Medicine 2016;11:494-497. © 2016 Society of Hospital Medicine.

Testing the functional assessment of mentation: A mobile application based assessment of mental status

BACKGROUND

Altered mental status is a significant predictor of mortality in hospitalized patients and a prerequisite component to the diagnosis of delirium. However, the detection of altered mental status is often incomplete, inaccurate, and resource intensive.

OBJECTIVE

To identify the clinical utility and feasibility of the Functional Assessment of Mentation (FAM(TM) ), a mobile application for evaluating attention and recall.

DESIGN

Prospective observational pilot study.

SETTING

Tertiary care medical center.

PARTICIPANTS

Nine hundred thirty-one adult subjects (612 nonhospitalized and 319 hospitalized).

MEASUREMENTS

Score distribution and time to FAM(TM) completion were compared between nonhospitalized and hospitalized subjects (as well as between hospitalized subjects discharged home and those not discharged home). Additionally, in the hospitalized subgroup, FAM(TM) was compared to the Glasgow Coma Scale (GCS), using the Short Portable Mental Status Questionnaire (SPMSQ) as our criterion standard for altered mental status assessment.

RESULTS

Median time to completion of FAM(TM) was 55 seconds (interquartile range [IQR], 45-67 seconds). Our data identified a graded reduction in score comparing nonhospitalized subjects to hospitalized subjects discharged home and not discharged home (median 5 [IQR 4-7] vs 5 [IQR 3-6] vs 3 [IQR 1-5]; P < 0.001). In the hospitalized subset, FAM(TM) scores were more highly correlated to SPMSQ (Spearman ρ = 0.27, P < 0.001) compared to GCS (Spearman ρ = 0.05, P = 0.40).

CONCLUSIONS

FAM(TM) is a rapid and clinically feasible tool that can identify minor alterations in mental status often missed by GCS. Journal of Hospital Medicine 2016;11:463-466. 2016 Society of Hospital Medicine.