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Original Investigation |

Delirium and Long-term Cognitive Trajectory Among Persons With Dementia FREE

Alden L. Gross, PhD, MHS; Richard N. Jones, ScD; Daniel A. Habtemariam, BA; Tamara G. Fong, MD, PhD; Douglas Tommet, MS; Lien Quach, MS; Eva Schmitt, PhD; Liang Yap, PhD; Sharon K. Inouye, MD, MPH
[+] Author Affiliations

Author Affiliations: Aging Brain Center, Institute for Aging Research, Hebrew SeniorLife (Drs Gross, Jones, Fong, Schmitt, and Inouye; Messrs Habtemariam and Tommet; and Ms Quach), Departments of Medicine (Drs Gross, Jones, and Inouye) and Neurology (Dr Fong), Beth Israel Deaconess Medical Center, Harvard Medical School, and Department of Neurology, Massachusetts General Hospital, Harvard Medical School (Drs Yap and Inouye), Boston.


Arch Intern Med. 2012;172(17):1324-1331. doi:10.1001/archinternmed.2012.3203.
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Background Delirium is characterized by acute cognitive impairment. We examined the association of delirium with long-term cognitive trajectories in older adults with Alzheimer disease (AD).

Methods We evaluated prospectively collected data from a nested cohort of hospitalized patients with AD (n = 263) in the Massachusetts Alzheimer Disease Research Center patient registry between January 1, 1991, and June 30, 2006 (median follow-up duration, 3.2 years). Cognitive function was measured using the information-memory-concentration (IMC) section of the Blessed Dementia Rating Scale. Delirium was identified using a validated medical record review method. The rate of cognitive deterioration was contrasted using random-effects regression models.

Results Fifty-six percent of patients with AD developed delirium during hospitalization. The rate of cognitive deterioration before hospitalization did not differ significantly between patients who developed delirium (1.4 [95% CI, 0.7-2.1] IMC points per year) and patients who did not develop delirium (0.8 [95% CI, 0.3-1.3] IMC points per year) (P = .24). After adjusting for dementia severity, comorbidity, and demographic characteristics, patients who had developed delirium experienced greater cognitive deterioration in the year following hospitalization (3.1 [95% CI, 2.1-4.1] IMC points per year) relative to patients who had not developed delirium (1.4 [95% CI, 0.2-2.6] IMC points per year). The ratio of these changes suggests that cognitive deterioration following delirium proceeds at twice the rate in the year after hospitalization compared with patients who did not develop delirium. Patients who had developed delirium maintained a more rapid rate of cognitive deterioration throughout a 5-year period following hospitalization. Sensitivity analyses that excluded rehospitalized patients and included matching on baseline cognitive function and baseline rate of cognitive deterioration produced essentially identical results.

Conclusions Delirium is highly prevalent among persons with AD who are hospitalized and is associated with an increased rate of cognitive deterioration that is maintained for up to 5 years. Strategies to prevent delirium may represent a promising avenue to explore for ameliorating cognitive deterioration in AD.

Figures in this Article

Alzheimer disease (AD) is a progressive and debilitating disorder characterized by impaired memory and loss of independent function.1 An estimated 4.5 million older adults in the United States have AD.2 Without advances in prevention or treatment, that number is expected to triple by 2050 to 13.2 million.3 Identification of modifiable risk factors for cognitive deterioration in AD is a top national priority to develop preventive strategies for slowing the progression of AD severity and reducing morbidity.4,5

Delirium is a common preventable medical syndrome among older hospitalized patients68 and is characterized by acute change in cognitive status, particularly attention and executive function.9 The results of a recent meta-analysis10 suggested that delirium is associated with an increased risk for death or requirement of institutional care. Quiz Ref IDThe 1-year mortality for hospitalized seniors who develop delirium is 35% to 40%,11 comparable to the mortality associated with sepsis or acute myocardial infarction.12 Previous research has demonstrated the adverse effect of delirium on cognition and function among older adults without dementia.1220

Delirium complicates care for more than 20% of all hospitalized adults older than 65 years; its prevalence rises to 60% to 89% of patients with AD.68 Moreover, older adults with AD are almost 3 times more likely to experience delirium than older adults without dementia.12,13,21,22 Despite this, little attention has been paid to the consequences of delirium on cognitive deterioration among patients with AD.23 The few studies completed have focused on short-term cognitive outcomes. Fong and colleagues24 reported significant change in cognitive function up to 6 months following delirium among patients with AD; however, that study was unable to address whether this change resulted in an enduring alteration in the trajectory of cognitive function.2527

The objective of the present study was to examine the rate of cognitive deterioration for up to 5 years before and 5 years after the occurrence of delirium among hospitalized older adults with AD. We hypothesized that the development of delirium is associated with cognitive deterioration in patients with AD, defined by long-term change in results on a test of global cognitive function.

STUDY SAMPLE

Patients were drawn from a nested longitudinal cohort of participants in the Massachusetts Alzheimer Disease Research Center (MADRC) patient registry. The MADRC was initiated in 1984 at Massachusetts General Hospital in Boston as a specialized research center devoted to the study of memory impairment. The MADRC examining neurologists diagnosed patients as having AD using National Institute of Neurological and Communicative Diseases and Stroke–Alzheimer Disease and Related Disorders Association guidelines.28

Eligible participants (n = 895) were those diagnosed as having definite, possible, or probable AD who visited the study clinic at least 3 times between January 1, 1991, and June 30, 2006; who were 65 years or older at the first MADRC visit; and who consented to participation in research. We obtained data from Medicare (January 1, 1991, to December 31, 2006) and the National Death Index (because of the 1-year lag in the National Death Index data for the same patients, these data were obtained for a period 1 year later, from January 1, 1992, to December 31, 2007). Medical record reviews were conducted from January 2, 2006, to March 23, 20010. Of the initial 895 patients, 379 (42.3%) were hospitalized, which was a further inclusion criterion. We excluded those enrolled in a Medicare health maintenance organization (n = 68) because hospitalizations for this group are not consistently identifiable in Medicare data. The health maintenance organization sample was similar to patients covered by fee-for-service Medicare in terms of sex, race/ethnicity, dementia severity, and baseline cognitive function. In addition, because we needed hospital records to classify delirium, we excluded patients whose hospital record was unavailable (n = 48). The resulting sample size was 263 patients with AD.

The MADRC informed consent policy includes joint consent of patients and their next of kin, health care proxy, or legal guardian. Conducted using data from the MADRC, medical record review, Medicare, and the National Death Index, the present study was approved by the institutional review boards of Massachusetts General Hospital, Hebrew Rehabilitation Center–Hebrew SeniorLife, and 46 Massachusetts hospitals where medical records were reviewed.

COGNITIVE FUNCTION

We assessed cognitive function during MADRC clinic visits using the information-memory-concentration (IMC) section of the Blessed Dementia Rating Scale, a brief test of global cognitive function.29 The IMC section has been validated as a screening tool for dementia using neuropathological features of AD and consensus diagnosis by psychiatrists.30 The IMC section assesses orientation, memory, concentration, and knowledge of personal information and public events. It is scored from 0 to 37 points based on the number of errors. A score of 0 to 2 is considered typical, and a score above 14 indicates major cognitive impairment.31 The IMC score is highly correlated with other widely used clinical measures of global cognitive function, including the Mini-Mental State Examination (r range, 0.81-0.85) and the Alzheimer Disease Assessment Scale cognitive subscale (r = 0.82).32

HOSPITALIZATION

We retrospectively identified hospitalizations using the Medicare Provider Analysis and Review database and confirmed them by review of hospital records. We defined the index hospitalization as the first hospitalization occurring during a patient's follow-up period at the MADRC. Because of the study inclusion criteria, all patients had IMC scores before and after their index hospitalization. We defined the baseline MADRC visit as the most recent MADRC visit preceding the index hospitalization.

DELIRIUM

Delirium was the primary exposure of interest. To classify delirium, we examined hospital records from the index hospitalization using a validated medical record review method.33Quiz Ref IDRelative to ratings using direct patient interview with cognitive testing and the Confusion Assessment Method,34 the medical record review approach has a sensitivity of 74%, specificity of 83%, and chance-corrected agreement (κ value) of 0.41,33 which is considered moderate agreement.35 The main reason for missed diagnoses was lack of adequate documentation, which is more likely to occur with mild delirium cases. Sensitivity approached 90% when restricted to more severe cases of delirium.33 Our medical record review method has been successfully applied in previous studies,24,36 and retrospective methods like it are increasingly being used.37

COVARIATES

Demographic variables included age, sex, marital status, years of education, and race/ethnicity (white vs other). Health-related variables included the number of comorbidities, history of smoking (yes vs no), and informant-reported history of depression (yes vs no). We measured comorbidity burden with the Charlson Comorbidity Index, calculated before or at the time of the index hospitalization based on data from the MADRC, Medicare, and medical record abstractions.38 Dementia-related variables included informant-reported duration of AD symptoms before diagnosis, speed of initial onset (rapid vs slow), course (fluctuating or stepwise vs stable or improving), family history of AD, and physician-rated dementia severity (range, 0-5, with 5 indicating profound impairment). The severity scale is highly correlated with the Clinical Dementia Rating (Spearman rank correlation r = 0.87, P < .001).23,39 To account for the small amount of missing data, which did not exceed 4% for any covariate, we used Bayesian imputation methods with 25 random draws.40

HANDLING OF TIME

Patients contributed time between their first and last MADRC visits. We centered time at the index hospitalization. Because of sparse data, we excluded data from MADRC visits beyond 5 years from the index hospitalization.

STATISTICAL ANALYSIS

We characterized patients using descriptive statistics. We compared distributions of age, sex, race/ethnicity, and years of education in the sample with those in the National Alzheimer Disease Coordinating Center to assess the generalizability of the present sample to persons with AD living in the United States.

For the main analysis, we used linear regression models with random effects to characterize changes in IMC scores over time. This approach minimizes bias in parameter estimates and SEs given the longitudinal repeated-measures design. We estimated random effects for intercept and slope parameters to accommodate individually varying IMC scores, individually varying rates of change, and clustering of repeated observations over time within a patient. Models were stratified by delirium status. To address the possibility that the association of delirium with the rate of cognitive deterioration was limited to the follow-up period shortly after the index hospitalization, we included discrete breaks in time at the index hospitalization and at 1 and 2 years after the index hospitalization. To help to interpret the differences in rates of deterioration, we calculated the ratios of rates of cognitive deterioration in the delirium and no delirium groups. This ratio represents the proportionate difference in the rate of cognitive deterioration attributable to delirium.

To control for potential confounding, we adjusted models for age, sex, years of education, dementia severity, family history of AD, number of comorbidities, and duration of AD symptoms before diagnosis. To address differences in preindex trajectory and baseline IMC scores by delirium status, we performed a sensitivity analysis by individually matching (with replacement) patients who developed delirium to patients who did not develop delirium by quintiles of estimated cognitive function at the index hospitalization and rate of cognitive deterioration before hospitalization. In another sensitivity analysis, we excluded rehospitalized patients to assess whether differences in rehospitalization rates by delirium status affected the results.

Analyses were conducted with statistical software (M plus, version 6.12; Muthén & Muthén)41 using robust maximum likelihood estimation, which assumes that observations for the outcome variable are missing at random, conditional on variables in the model.42 We evaluated model fit by correlating observed and model-implied IMC scores, the square of which is the proportion of variability in observed IMC scores explained by the model (empirical R2).43 We checked plots of residuals for normality and random scatter over time. We excluded outlying observations to verify inferences.

Most study patients were female (57.0%) and had at least a high school education (mean years of education, 13.7), and the mean patient age was 78.3 years. Differences in characteristics of our sample compared with the National Alzheimer Disease Coordinating Center sample of 74 169 patients with AD were trivial (Table 1).

Table Graphic Jump LocationTable 1. Comparison of Baseline Characteristics in the MADRC Hospitalized Cohort and the NACC Cohorta

Patients were evaluated at the MADRC approximately every 6 months during a median follow-up duration of 3.2 years (range, 0.7-14.5 years). On average, patients had 2 MADRC visits before their index hospitalization and 3 visits afterward. The median time between the baseline MADRC visit and the index hospitalization was 10.5 months (range, 0.1-75.2 months). The IMC scores were more likely to be missing for MADRC visits after a patient's index hospitalization (P < .001). Whether the IMC scores were missing did not vary by delirium status (P = .42).

DELIRIUM INCIDENCE

The overall incidence of delirium in the hospitalized sample was 56.3% (95% CI, 50.2%-62.3%). Compared with patients in the no delirium group, patients in the delirium group were more likely to be male, have fewer years of education, be married, have a history of smoking, and have greater cognitive impairment at the baseline MADRC visit. Reasons for hospitalization did not differ by delirium status (P = .69) (Table 2).

Table Graphic Jump LocationTable 2. Baseline Characteristics of the MADRC Hospitalized Cohorta
COGNITIVE DETERIORATION

Comparisons of observed and model-implied changes in cognitive trajectories over time by the delirium and no delirium groups are summarized in the Figure. The covariate-adjusted model fit the data well (empirical R2 = 0.89). During the study period, 119 patients (45.2%) died, and 62 patients (23.6%) were lost to follow-up because of other reasons. Our modeling accounted for these losses using robust estimation methods. At baseline, the observed mean IMC score was higher in the delirium group (difference, 1.5 [95% CI, 0.2-2.9] IMC points), but this difference was not significant after adjustment for potential confounders (Table 3). In addition, observed and model-implied rates of cognitive deterioration were similar in the 2 groups preceding the index hospitalization (observed difference, 0.8 [95% CI, −0.1 to 1.7] IMC points per year; model-implied difference, 0.6 [95% CI, −0.1 to 1.3] IMC points per year) (Table 4). The clinical significance of an additional 0.6 points can be summarized using the expected time to detect a 0.5-SD decline in IMC score, which would be about 3.9 years in the no delirium group and 2.3 years in the delirium group.

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Estimated cognitive function among 263 hospitalized patients who developed delirium or did not develop delirium, showing model-implied trajectories with 95% CIs of cognitive performance at discrete time points from a random-effects regression model of the Blessed Dementia Rating Scale information-memory-concentration section (Blessed IMC) score during Massachusetts Alzheimer Disease Research Center follow-up periods. The model is adjusted for age, sex, years of education, family history of Alzheimer disease, dementia severity, number of comorbidities, and duration of Alzheimer disease symptoms before diagnosis. Missing covariate data were multiply imputed using Bayesian imputation methods with 25 data sets. The timescale depicted includes the middle 80% of study visits nearest in time to the index hospitalization (although statistical models used data up to 5 years before and 5 years after the index hospitalization). The surviving sample size is the number of patients who survived up to each year. Asterisks indicate P < .05 on test of group differences in observed annualized change in Blessed IMC score between delirium and no delirium groups.

Table Graphic Jump LocationTable 3. Baseline Cognitive Scores by Delirium Group Among 263 Patients in the MADRC Hospitalized Cohort
Table Graphic Jump LocationTable 4. Comparison of Changes in Cognitive Scores During Follow-up Periods Among 263 Patients in the MADRC Hospitalized Cohort

Observed and model-implied cognitive deterioration worsened during the year following the index hospitalization in both groups (Table 4). This deterioration was significantly greater in the delirium group (difference, 1.7 [95% CI, 0.3-3.1] IMC points per year) and remained so through the end of the study period (P = .003). The ratio of these group differences suggests that delirium is associated with a 2.2-fold increased rate of cognitive deterioration in the year following the index hospitalization and with a 1.7-fold increased rate of cognitive deterioration during the 5-year period following the index hospitalization.

SENSITIVITY ANALYSES

To control for baseline cognitive status, we performed a sensitivity analysis by individually matching patients on baseline IMC score and on preindex trajectory. Findings were consistent with those of the main analysis. The results are likely conservative because the observed matched mean IMC score in the delirium group was almost 1 point lower (less impaired) at baseline than that in the no delirium group (9.5 vs 10.4 IMC points). However, observed and model-implied mean IMC scores were higher (more impaired) in the delirium group by the end of the follow-up period.

Quiz Ref IDRehospitalization occurred more often among patients in the delirium group (79 [53.4%]) than among patients in the no delirium group (44 [38.3%]) (P < .01) (Table 2). Most patients were rehospitalized within 2 years of their index hospitalization, during which time the proportions differed between the delirium group (70 [47.3%]) and the no delirium group (37 [32.2%]) (P = .01). After 2 years, the proportions of patients who were rehospitalized did not differ by delirium status (P = .60). When we excluded rehospitalized patients, the model-implied rate of cognitive deterioration during the year following the index hospitalization remained worse in the delirium group (3.5 IMC points per year) than that in the no delirium group (1.5 IMC points per year) (P = .07); these estimates are slightly larger than those that include rehospitalized patients (P = .24) (Table 4). This trend continued 1 to 2 years after the index hospitalization (P = .04) and after 2 years (P = .02). Therefore, overall findings were similar when we excluded rehospitalized patients.

In this prospective study of hospitalized older adults with AD, we investigated the association of delirium with the long-term rate of cognitive deterioration. Quiz Ref IDDelirium developed in 56.3% of patients and was associated with significantly greater long-term cognitive deterioration. This finding was independent of dementia severity, demographic characteristics, and level and rate of cognitive deterioration before the index hospitalization and persisted throughout the 5-year follow-up duration. Therefore, delirium among patients with AD is associated with a significantly elevated rate of cognitive deterioration from baseline levels.

Rehospitalization after the index hospitalization was common during the MADRC follow-up evaluation.36 However, rehospitalization is a highly prevalent consequence of delirium and may serve as a marker or mediator through which delirium influences cognitive trajectories: patients with delirium tend to be discharged sicker, have worse prognosis for rehabilitation, and have elevated risk for rehospitalization.11,45 To adjust for rehospitalizations may potentially remove part of the total observed association between delirium and cognitive decline.46 Despite this conjecture, our sensitivity analysis that excluded rehospitalizations found little evidence to suggest that rehospitalizations account for the findings in this study.

Patients who develop delirium may differ in baseline characteristics from patients who do not develop delirium. However, our cohort is uniquely able to provide information about cognitive performance long before and after delirium. We conducted a sensitivity analysis by matching patients on preindex trajectory of IMC scores and on baseline IMC scores. Our inferences were unchanged, suggesting that the differences in baseline trajectory were not contributing substantially to the findings.

Several caveats deserve comment. First, the semiannual intervals between MADRC visits did not allow us to capture the maximal acute effect of delirium on the rate of cognitive deterioration, which would be most pronounced shortly after delirium onset. However, this limitation likely introduces a conservative bias. We included breaks in the cognitive trajectory at 1 and 2 years after the index hospitalization to accommodate the potential for only short-term deterioration, but we observed deterioration during 5 years. This finding suggests that delirium may fundamentally alter the cognitive trajectory in a sustained fashion.Quiz Ref IDSecond, we had no way to detect the occurrence of delirium in home settings. However, episodes that did not result in hospitalization were likely milder, and we accounted for rehospitalizations in sensitivity analyses. Third, the medical record review method is an imperfect strategy for classifying delirium and likely leads to an underestimate of the true delirium prevalence because features of delirium may be more difficult to document from a medical record review in patients with dementia.35,47 However, based on published sensitivity and specificity for medication review among patients with delirium,33 we would expect 41% of the no delirium group to include false-negative cases but only 9% of the delirium group to include false-positive cases.33 Therefore, although we cannot determine with certainty, group differences in the rate of cognitive deterioration are likely conservative estimates. Fourth, self-report measures of depression symptoms were unavailable. Fifth, we had no information about new diagnoses (such as stroke) during the follow-up period. However, we controlled for many important potential confounders, and our sensitivity analyses that excluded rehospitalized patients help to strengthen our inferences.

We used a well-characterized clinical sample of community-dwelling patients with AD and included rich, rigorously collected longitudinal data on cognitive function, dementia staging, and control variables. Our results challenge the notion that delirium is transient and reversible in AD. Delirium is recognized by physicians and nurses in less than 30% of hospitalized patients.4850 Lack of recognition may be attributed in part to the widely held notion that the impact of delirium is unimportant and inevitable during hospitalization and has no long-term significance in patients with AD.9 If delirium worsens the long-term course of cognitive function among persons with AD, it should be handled as a genuine medical emergency, meriting changes to incorporate routine delirium prevention in the standard practice for patients with dementia to ensure timely intervention to prevent long-term cognitive deterioration. Ongoing education of physicians, nurses, and other health care providers and widespread availability of brief cognitive screening tests and the use of the Confusion Assessment Method would help to improve delirium screening at the bedside.11 In high-risk patients, application of tested protocols (such as reorientation, mobility, hydration, and therapeutic activities) from the Hospital Elder Life Program may help to prevent delirium in this population.9 Delirium prevention is an important area for future investigation.

Previous research suggests that targeted delirium prevention programs might help to reduce delirium for at least 27% of patients with AD, which represents 1.2 million persons in the United States and 4 million people worldwide.3,68 Given that the national costs of delirium are estimated to be $40 to $150 billion annually,51 strategies that affect even a fraction of these costs have the potential for far-reaching cost savings for our health care system,52,53 greatly exceeding the costs of current pharmacological treatments for AD. Future work is urgently needed to determine whether prevention of delirium in the population with AD will improve the trajectory of cognitive decline demonstrated in this study, with resultant improvements in quality of life for patients and their families.

Correspondence: Alden L. Gross, PhD, MHS, Aging Brain Center, Institute for Aging Research, Hebrew SeniorLife, 1200 Centre St, Boston, MA 02131 (aldengross@hsl.harvard.edu).

Accepted for Publication: May 19, 2012.

Published Online: August 20, 2012. doi:10.1001/archinternmed.2012.3203

Author Contributions: Dr Gross had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Gross, Jones, and Inouye. Acquisition of data: Yap and Inouye. Analysis and interpretation of data: Gross, Jones, Habtemariam, Fong, Tommet, Quach, Schmitt, and Inouye. Drafting of the manuscript: Gross, Jones, and Inouye. Critical revision of the manuscript for important intellectual content: Gross, Jones, Habtemariam, Fong, Tommet, Quach, Schmitt, Yap, and Inouye. Statistical analysis: Gross, Jones, Tommet, and Quach. Obtained funding: Inouye. Administrative, technical, and material support: Habtemariam, Tommet, Schmitt, Yap, and Inouye. Study supervision: Jones and Inouye.

Financial Disclosure: None reported.

Funding/Support: This study was supported in part by grants P01AG031720 from the National Institute on Aging (Dr Inouye), P50AG005134 from the National Institute on Aging through the Massachusetts Alzheimer's Disease Research Center (Dr Inouye), and IIRG-08-88738 the Alzheimer's Association (Dr Inouye). Dr Gross was supported by a Translational Research in Aging fellowship T32AG023480-07 from the National Institutes on Aging. Dr Inouye holds the Milton and Shirley F. Levy Family Chair in Alzheimer's Disease, Hebrew SeniorLife, Harvard Medical School.

Role of the Sponsors: Funders had no deciding roles in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

Disclaimer: The contents herein do not necessarily represent the views of the funding entities.

Previous Presentation: This work was presented at the 25th Annual Poster Session of the Massachusetts Alzheimer's Disease Research Center and the Boston University Alzheimer's Disease Center; February 8, 2012; Boston, Massachusetts.

Additional Information: This work is dedicated to the memories of Mary Margaret Brady, Mitsuo Inouye, and Joshua Helfand.

Blennow K, de Leon MJ, Zetterberg H. Alzheimer's disease.  Lancet. 2006;368(9533):387-403
PubMed   |  Link to Article
Administration on Aging.  A Profile of Older Americans. Washington, DC: Dept of Health and Human Services; 2007
Cummings JL. Alzheimer's disease.  N Engl J Med. 2004;351(1):56-67
PubMed   |  Link to Article
Fratiglioni L. Epidemiology of Alzheimer's disease and current possibilities for prevention.  Acta Neurol Scand Suppl. 1996;165:33-40
PubMed   |  Link to Article
US Department of Health and Human Services.  National plan to address Alzheimer's disease. 2012. http://aspe.hhs.gov/daltcp/napa/NatlPlan.pdf. Accessed March 1, 2012
Edlund A, Lundström M, Brännström B, Bucht G, Gustafson Y. Delirium before and after operation for femoral neck fracture.  J Am Geriatr Soc. 2001;49(10):1335-1340
PubMed   |  Link to Article
Fick DM, Foreman M. Consequences of not recognizing delirium superimposed on dementia in hospitalized elderly individuals.  J Gerontol Nurs. 2000;26(1):30-40
PubMed
Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review.  J Am Geriatr Soc. 2002;50(10):1723-1732
PubMed   |  Link to Article
American Psychiatric Association.  Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994
Witlox J, Eurelings LS, de Jonghe JF, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis.  JAMA. 2010;304(4):443-451
PubMed   |  Link to Article
Moran JA, Dorevitch MI. Delirium in the hospitalized elderly.  Aust J Hosp Pharm. 2001;31:35-40
Inouye SK. Delirium in older persons.  N Engl J Med. 2006;354(11):1157-1165
PubMed   |  Link to Article
Inouye SK, Bogardus ST Jr, Charpentier PA,  et al.  A multicomponent intervention to prevent delirium in hospitalized older patients.  N Engl J Med. 1999;340(9):669-676
PubMed   |  Link to Article
Cole MG. Delirium in elderly patients.  Am J Geriatr Psychiatry. 2004;12(1):7-21
PubMed
Francis J, Kapoor WN. Prognosis after hospital discharge of older medical patients with delirium.  J Am Geriatr Soc. 1992;40(6):601-606
PubMed
Inouye SK, Charpentier PA. Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability.  JAMA. 1996;275(11):852-857
PubMed   |  Link to Article
Jackson JC, Gordon SM, Hart RP, Hopkins RO, Ely EW. The association between delirium and cognitive decline: a review of the empirical literature.  Neuropsychol Rev. 2004;14(2):87-98
PubMed   |  Link to Article
Katz IR, Curyto KJ, TenHave T, Mossey J, Sands L, Kallan MJ. Validating the diagnosis of delirium and evaluating its association with deterioration over a one-year period.  Am J Geriatr Psychiatry. 2001;9(2):148-159
PubMed
McCusker J, Cole M, Dendukuri N, Belzile E, Primeau F. Delirium in older medical inpatients and subsequent cognitive and functional status: a prospective study.  CMAJ. 2001;165(5):575-583
PubMed
Rahkonen T, Eloniemi-Sulkava U, Paanila S, Halonen P, Sivenius J, Sulkava R. Systematic intervention for supporting community care of elderly people after a delirium episode.  Int Psychogeriatr. 2001;13(1):37-49
PubMed   |  Link to Article
Marcantonio ER, Ta T, Duthie E, Resnick NM. Delirium severity and psychomotor types: their relationship with outcomes after hip fracture repair.  J Am Geriatr Soc. 2002;50(5):850-857
PubMed   |  Link to Article
Weiler PG, Lubben JE, Chi I. Cognitive impairment and hospital use.  Am J Public Health. 1991;81(9):1153-1157
PubMed   |  Link to Article
Brookmeyer R, Gray S, Kawas C. Projections of Alzheimer's disease in the United States and the public health impact of delaying disease onset.  Am J Public Health. 1998;88(9):1337-1342
PubMed   |  Link to Article
Fong TG, Jones RN, Shi P,  et al.  Delirium accelerates cognitive decline in Alzheimer disease.  Neurology. 2009;72(18):1570-1575
PubMed   |  Link to Article
Cole MG, McCusker J, Dendukuri N, Han L. The prognostic significance of subsyndromal delirium in elderly medical inpatients.  J Am Geriatr Soc. 2003;51(6):754-760
PubMed   |  Link to Article
Levkoff SE, Evans DA, Liptzin B,  et al.  Delirium. The occurrence and persistence of symptoms among elderly hospitalized patients.  Arch Intern Med. 1992;152(2):334-340
PubMed   |  Link to Article
McCusker J, Cole M, Dendukuri N, Han L, Belzile E. The course of delirium in older medical inpatients: a prospective study.  J Gen Intern Med. 2003;18(9):696-704
PubMed   |  Link to Article
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.  Neurology. 1984;34(7):939-944
PubMed   |  Link to Article
Blessed G, Tomlinson BE, Roth M. The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects.  Br J Psychiatry. 1968;114(512):797-811
PubMed   |  Link to Article
Heun R, Papassotiropoulos A, Jennssen F. The validity of psychometric instruments for detection of dementia in the elderly general population.  Int J Geriatr Psychiatry. 1998;13(6):368-380
PubMed   |  Link to Article
Stern Y, Mayeux R, Sano M, Hauser WA, Bush T. Predictors of disease course in patients with probable Alzheimer's disease.  Neurology. 1987;37(10):1649-1653
PubMed   |  Link to Article
Thal LJ, Grundman M, Golden R. Alzheimer's disease: a correlational analysis of the Blessed Information-Memory-Concentration Test and the Mini-Mental State Exam.  Neurology. 1986;36(2):262-264
PubMed   |  Link to Article
Inouye SK, Leo-Summers L, Zhang Y, Bogardus ST Jr, Leslie DL, Agostini JV. A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion assessment method.  J Am Geriatr Soc. 2005;53(2):312-318
PubMed   |  Link to Article
Inouye SK, van Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method: a new method for detection of delirium.  Ann Intern Med. 1990;113(12):941-948
PubMed
Landis JR, Koch GG. The measurement of observer agreement for categorical data.  Biometrics. 1977;33(1):159-174
PubMed   |  Link to Article
Rudolph JL, Zanin NM, Jones RN,  et al.  Hospitalization in community-dwelling persons with Alzheimer's disease: frequency and causes.  J Am Geriatr Soc. 2010;58(8):1542-1548
PubMed   |  Link to Article
Barnes J, Kite S, Kumar M. The recognition and documentation of delirium in hospital palliative care inpatients.  Palliat Support Care. 2010;8(2):133-136
PubMed   |  Link to Article
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.  J Chronic Dis. 1987;40(5):373-383
PubMed   |  Link to Article
Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules.  Neurology. 1993;43(11):2412-2414
PubMed   |  Link to Article
Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York, NY: Wiley & Sons; 1987
Muthén LK, Muthén BO. M plus User's Guide. 6th ed. Los Angeles, CA: Muthén & Muthén; 1998-2010
Little RJ, Rubin D. Statistical Analysis With Missing Data. New York, NY: Wiley Inc; 1987
Singer JD, Willet J. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York, NY: Oxford University Press; 2003
Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates Inc; 1988
Dosa D, Intrator O, McNicoll L, Cang Y, Teno J. Preliminary derivation of a nursing home Confusion Assessment Method based on data from the minimum data set.  J Am Geriatr Soc. 2007;55(7):1099-1105
PubMed   |  Link to Article
Cole SR, Hernán MA. Fallibility in estimating direct effects.  Int J Epidemiol. 2002;31(1):163-165
PubMed   |  Link to Article
Steis MR, Fick DM. Delirium superimposed on dementia: accuracy of nurse documentation.  J Gerontol Nurs. 2012;38(1):32-42
PubMed   |  Link to Article
Fick DM, Hodo DM, Lawrence F, Inouye SK. Recognizing delirium superimposed on dementia: assessing nurses' knowledge using case vignettes.  J Gerontol Nurs. 2007;33(2):40-49
PubMed
Inouye SK, Foreman MD, Mion LC, Katz KH, Cooney LM Jr. Nurses' recognition of delirium and its symptoms: comparison of nurse and researcher ratings.  Arch Intern Med. 2001;161(20):2467-2473
PubMed   |  Link to Article
Laurila JV, Pitkala KH, Strandberg TE, Tilvis RS. Detection and documentation of dementia and delirium in acute geriatric wards.  Gen Hosp Psychiatry. 2004;26(1):31-35
PubMed   |  Link to Article
Leslie DL, Marcantonio ER, Zhang Y, Leo-Summers L, Inouye SK. One-year health care costs associated with delirium in the elderly population.  Arch Intern Med. 2008;168(1):27-32
PubMed   |  Link to Article
Rubin FH, Neal K, Fenlon K, Hassan S, Inouye SK. Sustainability and scalability of the hospital elder life program at a community hospital.  J Am Geriatr Soc. 2011;59(2):359-365
PubMed   |  Link to Article
Rubin FH, Williams JT, Lescisin DA, Mook WJ, Hassan S, Inouye SK. Replicating the Hospital Elder Life Program in a community hospital and demonstrating effectiveness using quality improvement methodology.  J Am Geriatr Soc. 2006;54(6):969-974
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Estimated cognitive function among 263 hospitalized patients who developed delirium or did not develop delirium, showing model-implied trajectories with 95% CIs of cognitive performance at discrete time points from a random-effects regression model of the Blessed Dementia Rating Scale information-memory-concentration section (Blessed IMC) score during Massachusetts Alzheimer Disease Research Center follow-up periods. The model is adjusted for age, sex, years of education, family history of Alzheimer disease, dementia severity, number of comorbidities, and duration of Alzheimer disease symptoms before diagnosis. Missing covariate data were multiply imputed using Bayesian imputation methods with 25 data sets. The timescale depicted includes the middle 80% of study visits nearest in time to the index hospitalization (although statistical models used data up to 5 years before and 5 years after the index hospitalization). The surviving sample size is the number of patients who survived up to each year. Asterisks indicate P < .05 on test of group differences in observed annualized change in Blessed IMC score between delirium and no delirium groups.

Tables

Table Graphic Jump LocationTable 1. Comparison of Baseline Characteristics in the MADRC Hospitalized Cohort and the NACC Cohorta
Table Graphic Jump LocationTable 2. Baseline Characteristics of the MADRC Hospitalized Cohorta
Table Graphic Jump LocationTable 3. Baseline Cognitive Scores by Delirium Group Among 263 Patients in the MADRC Hospitalized Cohort
Table Graphic Jump LocationTable 4. Comparison of Changes in Cognitive Scores During Follow-up Periods Among 263 Patients in the MADRC Hospitalized Cohort

References

Blennow K, de Leon MJ, Zetterberg H. Alzheimer's disease.  Lancet. 2006;368(9533):387-403
PubMed   |  Link to Article
Administration on Aging.  A Profile of Older Americans. Washington, DC: Dept of Health and Human Services; 2007
Cummings JL. Alzheimer's disease.  N Engl J Med. 2004;351(1):56-67
PubMed   |  Link to Article
Fratiglioni L. Epidemiology of Alzheimer's disease and current possibilities for prevention.  Acta Neurol Scand Suppl. 1996;165:33-40
PubMed   |  Link to Article
US Department of Health and Human Services.  National plan to address Alzheimer's disease. 2012. http://aspe.hhs.gov/daltcp/napa/NatlPlan.pdf. Accessed March 1, 2012
Edlund A, Lundström M, Brännström B, Bucht G, Gustafson Y. Delirium before and after operation for femoral neck fracture.  J Am Geriatr Soc. 2001;49(10):1335-1340
PubMed   |  Link to Article
Fick DM, Foreman M. Consequences of not recognizing delirium superimposed on dementia in hospitalized elderly individuals.  J Gerontol Nurs. 2000;26(1):30-40
PubMed
Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review.  J Am Geriatr Soc. 2002;50(10):1723-1732
PubMed   |  Link to Article
American Psychiatric Association.  Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994
Witlox J, Eurelings LS, de Jonghe JF, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis.  JAMA. 2010;304(4):443-451
PubMed   |  Link to Article
Moran JA, Dorevitch MI. Delirium in the hospitalized elderly.  Aust J Hosp Pharm. 2001;31:35-40
Inouye SK. Delirium in older persons.  N Engl J Med. 2006;354(11):1157-1165
PubMed   |  Link to Article
Inouye SK, Bogardus ST Jr, Charpentier PA,  et al.  A multicomponent intervention to prevent delirium in hospitalized older patients.  N Engl J Med. 1999;340(9):669-676
PubMed   |  Link to Article
Cole MG. Delirium in elderly patients.  Am J Geriatr Psychiatry. 2004;12(1):7-21
PubMed
Francis J, Kapoor WN. Prognosis after hospital discharge of older medical patients with delirium.  J Am Geriatr Soc. 1992;40(6):601-606
PubMed
Inouye SK, Charpentier PA. Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability.  JAMA. 1996;275(11):852-857
PubMed   |  Link to Article
Jackson JC, Gordon SM, Hart RP, Hopkins RO, Ely EW. The association between delirium and cognitive decline: a review of the empirical literature.  Neuropsychol Rev. 2004;14(2):87-98
PubMed   |  Link to Article
Katz IR, Curyto KJ, TenHave T, Mossey J, Sands L, Kallan MJ. Validating the diagnosis of delirium and evaluating its association with deterioration over a one-year period.  Am J Geriatr Psychiatry. 2001;9(2):148-159
PubMed
McCusker J, Cole M, Dendukuri N, Belzile E, Primeau F. Delirium in older medical inpatients and subsequent cognitive and functional status: a prospective study.  CMAJ. 2001;165(5):575-583
PubMed
Rahkonen T, Eloniemi-Sulkava U, Paanila S, Halonen P, Sivenius J, Sulkava R. Systematic intervention for supporting community care of elderly people after a delirium episode.  Int Psychogeriatr. 2001;13(1):37-49
PubMed   |  Link to Article
Marcantonio ER, Ta T, Duthie E, Resnick NM. Delirium severity and psychomotor types: their relationship with outcomes after hip fracture repair.  J Am Geriatr Soc. 2002;50(5):850-857
PubMed   |  Link to Article
Weiler PG, Lubben JE, Chi I. Cognitive impairment and hospital use.  Am J Public Health. 1991;81(9):1153-1157
PubMed   |  Link to Article
Brookmeyer R, Gray S, Kawas C. Projections of Alzheimer's disease in the United States and the public health impact of delaying disease onset.  Am J Public Health. 1998;88(9):1337-1342
PubMed   |  Link to Article
Fong TG, Jones RN, Shi P,  et al.  Delirium accelerates cognitive decline in Alzheimer disease.  Neurology. 2009;72(18):1570-1575
PubMed   |  Link to Article
Cole MG, McCusker J, Dendukuri N, Han L. The prognostic significance of subsyndromal delirium in elderly medical inpatients.  J Am Geriatr Soc. 2003;51(6):754-760
PubMed   |  Link to Article
Levkoff SE, Evans DA, Liptzin B,  et al.  Delirium. The occurrence and persistence of symptoms among elderly hospitalized patients.  Arch Intern Med. 1992;152(2):334-340
PubMed   |  Link to Article
McCusker J, Cole M, Dendukuri N, Han L, Belzile E. The course of delirium in older medical inpatients: a prospective study.  J Gen Intern Med. 2003;18(9):696-704
PubMed   |  Link to Article
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.  Neurology. 1984;34(7):939-944
PubMed   |  Link to Article
Blessed G, Tomlinson BE, Roth M. The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects.  Br J Psychiatry. 1968;114(512):797-811
PubMed   |  Link to Article
Heun R, Papassotiropoulos A, Jennssen F. The validity of psychometric instruments for detection of dementia in the elderly general population.  Int J Geriatr Psychiatry. 1998;13(6):368-380
PubMed   |  Link to Article
Stern Y, Mayeux R, Sano M, Hauser WA, Bush T. Predictors of disease course in patients with probable Alzheimer's disease.  Neurology. 1987;37(10):1649-1653
PubMed   |  Link to Article
Thal LJ, Grundman M, Golden R. Alzheimer's disease: a correlational analysis of the Blessed Information-Memory-Concentration Test and the Mini-Mental State Exam.  Neurology. 1986;36(2):262-264
PubMed   |  Link to Article
Inouye SK, Leo-Summers L, Zhang Y, Bogardus ST Jr, Leslie DL, Agostini JV. A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion assessment method.  J Am Geriatr Soc. 2005;53(2):312-318
PubMed   |  Link to Article
Inouye SK, van Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method: a new method for detection of delirium.  Ann Intern Med. 1990;113(12):941-948
PubMed
Landis JR, Koch GG. The measurement of observer agreement for categorical data.  Biometrics. 1977;33(1):159-174
PubMed   |  Link to Article
Rudolph JL, Zanin NM, Jones RN,  et al.  Hospitalization in community-dwelling persons with Alzheimer's disease: frequency and causes.  J Am Geriatr Soc. 2010;58(8):1542-1548
PubMed   |  Link to Article
Barnes J, Kite S, Kumar M. The recognition and documentation of delirium in hospital palliative care inpatients.  Palliat Support Care. 2010;8(2):133-136
PubMed   |  Link to Article
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.  J Chronic Dis. 1987;40(5):373-383
PubMed   |  Link to Article
Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules.  Neurology. 1993;43(11):2412-2414
PubMed   |  Link to Article
Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York, NY: Wiley & Sons; 1987
Muthén LK, Muthén BO. M plus User's Guide. 6th ed. Los Angeles, CA: Muthén & Muthén; 1998-2010
Little RJ, Rubin D. Statistical Analysis With Missing Data. New York, NY: Wiley Inc; 1987
Singer JD, Willet J. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York, NY: Oxford University Press; 2003
Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates Inc; 1988
Dosa D, Intrator O, McNicoll L, Cang Y, Teno J. Preliminary derivation of a nursing home Confusion Assessment Method based on data from the minimum data set.  J Am Geriatr Soc. 2007;55(7):1099-1105
PubMed   |  Link to Article
Cole SR, Hernán MA. Fallibility in estimating direct effects.  Int J Epidemiol. 2002;31(1):163-165
PubMed   |  Link to Article
Steis MR, Fick DM. Delirium superimposed on dementia: accuracy of nurse documentation.  J Gerontol Nurs. 2012;38(1):32-42
PubMed   |  Link to Article
Fick DM, Hodo DM, Lawrence F, Inouye SK. Recognizing delirium superimposed on dementia: assessing nurses' knowledge using case vignettes.  J Gerontol Nurs. 2007;33(2):40-49
PubMed
Inouye SK, Foreman MD, Mion LC, Katz KH, Cooney LM Jr. Nurses' recognition of delirium and its symptoms: comparison of nurse and researcher ratings.  Arch Intern Med. 2001;161(20):2467-2473
PubMed   |  Link to Article
Laurila JV, Pitkala KH, Strandberg TE, Tilvis RS. Detection and documentation of dementia and delirium in acute geriatric wards.  Gen Hosp Psychiatry. 2004;26(1):31-35
PubMed   |  Link to Article
Leslie DL, Marcantonio ER, Zhang Y, Leo-Summers L, Inouye SK. One-year health care costs associated with delirium in the elderly population.  Arch Intern Med. 2008;168(1):27-32
PubMed   |  Link to Article
Rubin FH, Neal K, Fenlon K, Hassan S, Inouye SK. Sustainability and scalability of the hospital elder life program at a community hospital.  J Am Geriatr Soc. 2011;59(2):359-365
PubMed   |  Link to Article
Rubin FH, Williams JT, Lescisin DA, Mook WJ, Hassan S, Inouye SK. Replicating the Hospital Elder Life Program in a community hospital and demonstrating effectiveness using quality improvement methodology.  J Am Geriatr Soc. 2006;54(6):969-974
PubMed   |  Link to Article

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