Sharon K Inouye

Duke University, Durham, NC, USA

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Publications (85)614.4 Total impact

  • Article: Learning from the Closure of Clinical Programs: A Case Series from the Hospital Elder Life Program.
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    ABSTRACT: Clinical programs in geriatrics face a challenging fiscal environment. Although recent research offers lessons from successful programs to help others like them sustain operations, it is not clear whether these lessons apply to programs that are beginning to fail. This study takes an approach that is frequently recommended, but rarely applied: examining failed programs to develop guidance for those at risk. It uses the example of an evidence-based, cost-effective geriatrics program that has been successfully implemented at more than 200 sites: the Hospital Elder Life Program (HELP). Data come from 14 in-depth interviews conducted between January and May 2011 with staff and hospital administrators affiliated with the six fully operational sites that closed between 2006 and 2011. Using the constant comparative method, researchers identified major themes suggesting that former HELP sites closed because of two interrelated problems centered on a major financial crisis or restructuring at the hospital or health system level. First, the crisis created challenges, such as the removal of program champions and a new focus on revenue-generating programs. Second, there were on-going vulnerabilities that the crisis revealed but that had not previously posed a threat to program viability. These included problems such as insufficient support from physicians and nursing leaders and limited documentation of program outcomes. Results suggest that, to protect against closure, clinical programs need to prepare for major crises at the hospital or health system level by ensuring support from multiple senior champions, with a special emphasis on nursing and physician leaders.
    Journal of the American Geriatrics Society 06/2013; · 3.74 Impact Factor
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    Article: Selecting optimal screening items for delirium: an application of item response theory.
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    ABSTRACT: BACKGROUND: Delirium (acute confusion), is a common, morbid, and costly complication of acute illness in older adults. Yet, researchers and clinicians lack short, efficient, and sensitive case identification tools for delirium. Though the Confusion Assessment Method (CAM) is the most widely used algorithm for delirium, the existing assessments that operationalize the CAM algorithm may be too long or complicated for routine clinical use. Item response theory (IRT) models help facilitate the development of short screening tools for use in clinical applications or research studies. This study utilizes IRT to identify a reduced set of optimally performing screening indicators for the four CAM features of delirium. METHODS: Older adults were screened for enrollment in a large scale delirium study conducted in Boston-area post-acute facilities (n = 4,598). Trained interviewers conducted a structured delirium assessment that culminated in rating the presence or absence of four features of delirium based on the CAM. A pool of 135 indicators from established cognitive testing and delirium assessment tools were assigned by an expert panel into two indicator sets per CAM feature representing (a) direct interview questions, including cognitive testing, and (b) interviewer observations. We used IRT models to identify the best items to screen for each feature of delirium. RESULTS: We identified 10 dimensions and chose up to five indicators per dimension. Preference was given to items with peak psychometric information in the latent trait region relevant for screening for delirium. The final set of 48 indicators, derived from 39 items, maintains fidelity to clinical constructs of delirium and maximizes psychometric information relevant for screening. CONCLUSIONS: We identified optimal indicators from a large item pool to screen for delirium. The selected indicators maintain fidelity to clinical constructs of delirium while maximizing psychometric information important for screening. This reduced item set facilitates development of short screening tools suitable for use in clinical applications or research studies. This study represents the first step in the establishment of an item bank for delirium screening with potential questions for clinical researchers to select from and tailor according to their research objectives.
    BMC Medical Research Methodology 01/2013; 13(1):8. · 2.67 Impact Factor
  • Article: Delirium and Long-term Cognitive Trajectory Among Persons With Dementia.
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    ABSTRACT: 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.
    Archives of internal medicine 09/2012; 172(17):1324-31. · 11.46 Impact Factor
  • Article: Cognitive trajectories after postoperative delirium.
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    ABSTRACT: Delirium is common after cardiac surgery and may be associated with long-term changes in cognitive function. We examined postoperative delirium and the cognitive trajectory during the first year after cardiac surgery. We enrolled 225 patients 60 years of age or older who were planning to undergo coronary-artery bypass grafting or valve replacement. Patients were assessed preoperatively, daily during hospitalization beginning on postoperative day 2, and at 1, 6, and 12 months after surgery. Cognitive function was assessed with the use of the Mini-Mental State Examination (MMSE; score range, 0 to 30, with lower scores indicating poorer performance). Delirium was diagnosed with the use of the Confusion Assessment Method. We examined performance on the MMSE in the first year after surgery, controlling for demographic characteristics, coexisting conditions, hospital, and surgery type. The 103 participants (46%) in whom delirium developed postoperatively had lower preoperative mean MMSE scores than those in whom delirium did not develop (25.8 vs. 26.9, P<0.001). In adjusted models, those with delirium had a larger drop in cognitive function (as measured by the MMSE score) 2 days after surgery than did those without delirium (7.7 points vs. 2.1, P<0.001) and had significantly lower postoperative cognitive function than those without delirium, both at 1 month (mean MMSE score, 24.1 vs. 27.4; P<0.001) and at 1 year (25.2 vs. 27.2, P<0.001) after surgery. With adjustment for baseline differences, the between-group difference in mean MMSE scores was significant 30 days after surgery (P<0.001) but not at 6 or 12 months (P=0.056 for both). A higher percentage of patients with delirium than those without delirium had not returned to their preoperative baseline level at 6 months (40% vs. 24%, P=0.01), but the difference was not significant at 12 months (31% vs. 20%, P=0.055). Delirium is associated with a significant decline in cognitive ability during the first year after cardiac surgery, with a trajectory characterized by an initial decline and prolonged impairment. (Funded by the Harvard Older Americans Independence Center and others.).
    New England Journal of Medicine 07/2012; 367(1):30-9. · 53.30 Impact Factor
  • Article: Adverse outcomes after hospitalization and delirium in persons with Alzheimer disease.
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    ABSTRACT: Hospitalization, frequently complicated by delirium, can be a life-changing event for patients with Alzheimer disease (AD). To determine risks for institutionalization, cognitive decline, or death associated with hospitalization and delirium in patients with AD. Prospective cohort enrolled between 1991 and 2006 into the Massachusetts Alzheimer's Disease Research Center (MADRC) patient registry. Community-based. 771 persons aged 65 years or older with a clinical diagnosis of AD. Hospitalization, delirium, death, and institutionalization were identified through administrative databases. Cognitive decline was defined as a decrease of 4 or more points on the Blessed Information-Memory-Concentration test score. Multivariate analysis was used to calculate adjusted relative risks (RRs). Of 771 participants with AD, 367 (48%) were hospitalized and 194 (25%) developed delirium. Hospitalized patients who did not have delirium had an increased risk for death (adjusted RR, 4.7 [95% CI, 1.9 to 11.6]) and institutionalization (adjusted RR, 6.9 [CI, 4.0 to 11.7]). With delirium, risk for death (adjusted RR, 5.4 [CI, 2.3 to 12.5]) and institutionalization (adjusted RR, 9.3 [CI, 5.5 to 15.7]) increased further. With hospitalization and delirium, the adjusted RR for cognitive decline for patients with AD was 1.6 (CI, 1.2 to 2.3). Among hospitalized patients with AD, 21% of the incidences of cognitive decline, 15% of institutionalization, and 6% of deaths were associated with delirium. Cognitive outcome was missing in 291 patients. Sensitivity analysis was performed to test the effect of missing data, and a composite outcome was used to decrease the effect of missing data. Approximately 1 in 8 hospitalized patients with AD who develop delirium will have at least 1 adverse outcome, including death, institutionalization, or cognitive decline, associated with delirium. Delirium prevention may represent an important strategy for reducing adverse outcomes in this population.
    Annals of internal medicine 06/2012; 156(12):848-56, W296. · 16.73 Impact Factor
  • Article: Identifying indicators of important diagnostic features of delirium.
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    ABSTRACT: To use an expert consensus process to identify indicators of delirium features to help enhance bedside recognition of delirium. Modified Delphi consensus process to assign existing cognitive and delirium assessment items to delirium features in the Confusion Assessment Method (CAM) diagnostic algorithm. Meetings of expert panel. Panel of seven interdisciplinary clinical experts. Panelists' assignments of each assessment item to indicate CAM features. From an initial pool of 119 assessment items, the panel assigned 66 items to at least one CAM feature, and many items were assigned to more than one feature. Experts achieved a high level of consensus, with a postmeeting kappa for agreement of 0.98. The study staff compiled the assignment results to create a comprehensive list of CAM feature indicators, consisting of 107 patient interview questions, cognitive tasks, and interviewer observations, with some items assigned to multiple features. A subpanel shortened this list to 28 indicators of important delirium features. A systematic, well-described qualitative methodology was used to create a list of indicators for delirium based on the features of the CAM diagnostic algorithm. This indicator list may be useful as a clinical tool for enhancing delirium recognition at the bedside and for aiding in the development of a brief delirium screening instrument.
    Journal of the American Geriatrics Society 06/2012; 60(6):1044-50. · 3.74 Impact Factor
  • Article: The importance of delirium: economic and societal costs.
    Douglas L Leslie, Sharon K Inouye
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    ABSTRACT: Although a number of studies have documented the negative clinical and economic consequences of delirium, interventions to prevent and treat delirium are infrequently implemented. The importance of delirium may continue to be underestimated until its societal and economic effects are documented. The current article outlines the existing literature related to long-term sequelae and costs associated with delirium and stresses the importance of such research in prompting recognition, prevention, and treatment efforts that could reduce the effect of delirium and improve quality of life for older adults and their caregivers.
    Journal of the American Geriatrics Society 11/2011; 59 Suppl 2:S241-3. · 3.74 Impact Factor
  • Article: Vulnerability: the crossroads of frailty and delirium.
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    ABSTRACT: Frailty and delirium, although seemingly distinct syndromes, both result in significant negative health outcomes in older adults. Frailty and delirium may be different clinical expressions of a shared vulnerability to stress in older adults, and future research will determine whether this vulnerability is age related, pathological, genetic, environmental, or most likely, a combination of all of these factors. This article explores the clinical overlap of frailty and delirium, describes possible pathophysiological mechanisms linking the two, and proposes research opportunities to further knowledge of the interrelationships between these important geriatric syndromes. Frailty, a diminished ability to compensate for stressors, is generally viewed as a chronic condition, whereas delirium is an acute change in attention and cognition, but there is a developing literature on transitions in frailty status around acute events, as well as on delirium as a chronic, persistent condition. If frailty predisposes an individual to delirium, and delirium delays recovery from a stressor, then both syndromes may contribute to a downward spiral of declining function, increasing risk, and negative outcomes. In addition, frailty and delirium may have shared pathophysiology, such as inflammation, atherosclerosis, and chronic nutritional deficiencies, which will require further investigation. The fields of frailty and delirium are rapidly evolving, and future research may help to better define the interrelationship of these common and morbid geriatric syndromes. Because of the heterogeneous pathophysiology and presentation associated with frailty and delirium, typical of all geriatric syndromes, multicomponent prevention and treatment strategies are most likely to be effective and should be developed and tested.
    Journal of the American Geriatrics Society 11/2011; 59 Suppl 2:S262-8. · 3.74 Impact Factor
  • Article: Sustaining clinical programs during difficult economic times: a case series from the Hospital Elder Life Program.
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    ABSTRACT: To explore strategies used by clinical programs to justify operations to decision-makers using the example of the Hospital Elder Life Program (HELP), an evidence-based, cost-effective program to improve care for hospitalized older adults. Qualitative study design using 62 in-depth, semistructured interviews conducted with HELP staff members and hospital administrators between September 2008 and August 2009. Nineteen HELP sites in hospitals across the United States and Canada that had been recruiting patients for at least 6 months. HELP staff and hospital administrators. Participant experiences sustaining the program in the face of actual or perceived financial threats, with a focus on factors they believe are effective in justifying the program to decision-makers in the hospital or health system. Using the constant comparative method, a standard qualitative analysis technique, three major themes were identified across interviews. Each focuses on a strategy for successfully justifying the program and securing funds for continued operations: interact meaningfully with decision-makers, including formal presentations that showcase operational successes and informal means that highlight the benefits of HELP to the hospital or health system; document day-to-day, operational successes in metrics that resonate with decision-maker priorities; and garner support from influential hospital staff that feed into administrative decision-making, particularly nurses and physicians. As clinical programs face financially challenging times, it is important to find effective ways to justify their operations to decision-makers. Strategies described here may help clinically effective and cost-effective programs sustain themselves and thus may help improve care in their institutions.
    Journal of the American Geriatrics Society 10/2011; 59(10):1873-82. · 3.74 Impact Factor
  • Article: Sustainability and scalability of the hospital elder life program at a community hospital.
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    ABSTRACT: The Hospital Elder Life Program (HELP), an effective intervention to prevent delirium in older hospitalized adults, has been successfully replicated in a community teaching hospital as a quality improvement project. This article reports on successfully sustaining the program over 7 years and expanding its scale from one to six inpatient units at the same hospital. The program currently serves more than 7,000 older patients annually and is accepted as the standard of care throughout the hospital. Innovations that enhanced scalability and widespread implementation included ensuring dedicated staffing for the program, local adaptations to streamline protocols, continuous recruitment of volunteers, and more-efficient data collection. Outcomes include a lower rate of incident delirium; shorter length of stay (LOS); greater satisfaction of patients, families, and nursing staff; and significantly lower costs for the hospital. The financial return of the program, estimated at more than $7.3 million per year during 2008, comprises cost savings from delirium prevention and revenue generated from freeing up hospital beds (shorter LOS of HELP patients with and without delirium). Delirium poses a major challenge for hospital quality of care, patient safety, Medicare no-pay conditions, and costs of hospital care for older persons. Faced with rising numbers of elderly patients, hospitals can use HELP to improve the quality and cost-effectiveness of care.
    Journal of the American Geriatrics Society 02/2011; 59(2):359-65. · 3.74 Impact Factor
  • Article: Development and validation of a brief cognitive assessment tool: the sweet 16.
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    ABSTRACT: Cognitive impairment is often unrecognized among older adults. Meanwhile, current assessment instruments are underused, lack sensitivity, or may be restricted by copyright laws. To address these limitations, we created a new brief cognitive assessment tool: the Sweet 16. The Sweet 16 was developed in a cohort from a large post-acute hospitalization study (n=774) and compared with the Mini-Mental State Examination (MMSE). Equipercentile equating identified Sweet 16 cut points that correlated with widely used MMSE cut points. Sweet 16 performance characteristics were independently validated in a cohort from the Aging, Demographics, and Memory Study (n=709) using clinical consensus diagnosis, the modified Blessed Dementia Rating Scale, and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). The Sweet 16 correlated highly with the MMSE (Spearman r, 0.94; P<.001). Validated against the IQCODE, the area under the curve was 0.84 for the Sweet 16 and 0.81 for the MMSE (P=.06). A Sweet 16 score of less than 14 (approximating an MMSE score <24) demonstrated a sensitivity of 80% and a specificity of 70%, whereas an MMSE score of less than 24 showed a sensitivity of 64% and a specificity of 86% against the IQCODE. When compared with clinical diagnosis, a Sweet 16 score of less than 14 showed a sensitivity of 99% and a specificity of 72% in contrast to an MMSE score with a sensitivity of 87% and a specificity of 89%. For education of 12 years or more, the area under the curve was 0.90 for the Sweet 16 and 0.84 for the MMSE (P=.03). The Sweet 16 is simple, quick to administer, and will be available open access. The performance of the Sweet 16 is equivalent or superior to that of the MMSE.
    Archives of internal medicine 11/2010; 171(5):432-7. · 11.46 Impact Factor
  • Article: Association cortex hypoperfusion in mild dementia with Lewy bodies: a potential indicator of cholinergic dysfunction?
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    ABSTRACT: Dementia with Lewy bodies (DLB) is often associated with occipital hypometabolism or hypoperfusion, as well as deficits in cholinergic neurotransmission. In this study, 11 mild DLB, 16 mild AD and 16 age-matched controls underwent arterial spin-labeled perfusion MRI (ASL-pMRI) and neuropsychological testing. Patterns of cerebral blood flow (CBF) and cognitive performance were compared. In addition, combined ASL-pMRI and ChEI drug challenge (pharmacologic MRI) was tested as a probe of cholinergic function in 4 of the DLB participants. Frontal and parieto-occipital hypoperfusion was observed in both DLB and AD but was more pronounced in DLB. Following ChEI treatment, perfusion increased in temporal and parieto-occipital cortex, and cognitive performance improved on a verbal fluency task. If confirmed in a larger study, these results provide further evidence for brain cholinergic dysfunction in DLB pathophysiology, and use of pharmacologic MRI as an in vivo measure of cholinergic function.
    Brain Imaging and Behavior 10/2010; 5(1):25-35. · 1.66 Impact Factor
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    Article: Hospitalization in community-dwelling persons with Alzheimer's disease: frequency and causes.
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    ABSTRACT: To examine the rates of and risk factors for acute hospitalization in a prospective cohort of older community-dwelling patients with Alzheimer's disease (AD). Longitudinal patient registry. AD research center. Eight hundred twenty-seven older persons with AD. Acute hospitalization after AD research center visit was determined from a Medicare database. Risk factor variables included demographics, dementia-related, comorbidity and diagnoses and were measured in interviews and according to Medicare data. Of the 827 eligible patients seen at the ADRC during 1991 to 2006 (median follow-up 3.0 years), 542 (66%) were hospitalized at least once, and 389 (47%) were hospitalized two or more times, with a median of 3 days spent in the hospital per person-year. Leading reasons for admission were syncope or falls (26%), ischemic heart disease (17%), gastrointestinal disease (9%), pneumonia (6%), and delirium (5%). Five significant independent risk factors for hospitalization were higher comorbidity (hazard ratio (HR)=1.87, 95% confidence interval (CI)=1.57-2.23), previous acute hospitalization (HR=1.65, 95% CI=1.37-1.99), older age (HR=1.51, 95% CI=1.26-1.81), male sex (HR=1.27, 95% CI=1.04-1.54), and shorter duration of dementia symptoms (HR=1.26, 95% CI=1.02-1.56). Cumulative risk of hospitalization increased with number of risk factors present at baseline: 38% with zero factors, 57% with one factor, 70% with two or three factors, and 85% with four or five factors (P(trend) <.001). In a community-dwelling population with generally mild AD, hospitalization is frequent, occurring in two-thirds of participants over a median follow-up time of 3 years. With these results, clinicians may be able to identify dementia patients at high risk for hospitalization.
    Journal of the American Geriatrics Society 08/2010; 58(8):1542-8. · 3.74 Impact Factor
  • Article: Development of a unidimensional composite measure of neuropsychological functioning in older cardiac surgery patients with good measurement precision.
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    ABSTRACT: The objective of this analysis was to develop a measure of neuropsychological performance for cardiac surgery and to assess its psychometric properties. Older patients (n = 210) underwent a neuropsychological battery using nine assessments. The number of factors was identified with variable reduction methods. Factor analysis methods based on item response theory were used to evaluate the measure. Modified parallel analysis supported a single factor, and the battery formed an internally consistent set (coefficient alpha = .82). The developed measure provided a reliable, continuous measure (reliability > .90) across a broad range of performance (-1.5 SDs to +1.0 SDs) with minimal ceiling and floor effects.
    Journal of Clinical and Experimental Neuropsychology 05/2010; 32(10):1041-9. · 2.13 Impact Factor
  • Article: No shortcuts for delirium prevention.
    Journal of the American Geriatrics Society 05/2010; 58(5):998-9; author reply 999-1000. · 3.74 Impact Factor
  • Article: Delirium: an independent predictor of functional decline after cardiac surgery.
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    ABSTRACT: To determine whether patients who developed delirium after cardiac surgery were at risk of functional decline. Prospective cohort study. Two academic hospitals and a Veterans Affairs Medical Center. One hundred ninety patients aged 60 and older undergoing elective or urgent cardiac surgery. Delirium was assessed daily and was diagnosed according to the Confusion Assessment Method. Before surgery and 1 and 12 months postoperatively, patients were assessed for function using the instrumental activities of daily living (IADL) scale. Functional decline was defined as a decrease in ability to perform one IADL at follow-up. Delirium occurred in 43.1% (n=82) of the patients (mean age 73.7+/-6.7). Functional decline occurred in 36.3% (n=65/179) at 1 month and in 14.6% (n=26/178) at 12 months. Delirium was associated with greater risk of functional decline at 1 month (relative risk (RR)=1.9, 95% confidence interval (CI)=1.3-2.8) and tended toward greater risk at 12 months (RR=1.9, 95% CI=0.9-3.8). After adjustment for age, cognition, comorbidity, and baseline function, delirium remained significantly associated with functional decline at 1 month (adjusted RR=1.8, 95% CI=1.2-2.6) but not at 12 months (adjusted RR=1.5, 95% CI=0.6-3.3). Delirium was independently associated with functional decline at 1 month and had a trend toward association at 12 months. These findings provide justification for intervention trials to evaluate whether delirium prevention or treatment strategies might improve postoperative functional recovery.
    Journal of the American Geriatrics Society 03/2010; 58(4):643-9. · 3.74 Impact Factor
  • Article: Aging, brain disease, and reserve: implications for delirium.
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    ABSTRACT: Cognitive and brain reserve are well studied in the context of age-associated cognitive impairment and dementia. However, there is a paucity of research that examines the role of cognitive or brain reserve in delirium. Indicators (or proxy measures) of cognitive or brain reserve (such as brain size, education, and activities) pose challenges in the context of the long prodromal phase of Alzheimer disease but are diminished in the context of delirium, which is of acute onset. This article provides a review of original articles on cognitive and brain reserve across many conditions affecting the central nervous system, with a focus on delirium. The authors review current definitions of reserve. The authors identify indicators for reserve used in earlier studies and discuss these indicators in the context of delirium. The authors highlight future research directions to move the field ahead. Reserve may be a potentially modifiable characteristic. Studying the role of reserve in delirium can advance prevention strategies for delirium and may advance knowledge of reserve and its role in aging and neuropsychiatric disease generally.
    The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry 02/2010; 18(2):117-27. · 3.35 Impact Factor
  • Article: Telephone interview for cognitive status: Creating a crosswalk with the Mini-Mental State Examination.
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    ABSTRACT: Brief cognitive screening measures are valuable tools for both research and clinical applications. The most widely used instrument, the Mini-Mental State Examination (MMSE), is limited in that it must be administered face-to-face, cannot be used in participants with visual or motor impairments, and is protected by copyright. Screening instruments such as the Telephone Interview for Cognitive Status (TICS) were developed to provide a valid alternative, with comparable cut-point scores to rate global cognitive function. The MMSE, TICS-30, and TICS-40 scores from 746 community-dwelling elders who participated in the Aging, Demographics, and Memory Study (ADAMS) were analyzed with equipercentile equating, a statistical process of determining comparable scores based on percentile equivalents for different forms of an examination. Scores from the MMSE and TICS-30 and TICS-40 corresponded well, and clinically relevant cut-point scores were determined. For example, an MMSE score of 23 is equivalent to 17 and 20 on the TICS-30 and TICS-40, respectively. These findings indicate that TICS and MMSE scores can be linked directly. Clinically relevant and important MMSE cut points and the respective ADAMS TICS-30 and TICS-40 cut-point scores are included, to identify the degree of cognitive impairment among respondents with any type of cognitive disorder. These results will help in the widespread application of TICS in both research and clinical practice.
    Alzheimer's & dementia: the journal of the Alzheimer's Association 08/2009; 5(6):492-7. · 5.90 Impact Factor
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    Article: Medicare nonpayment, hospital falls, and unintended consequences.
    Sharon K Inouye, Cynthia J Brown, Mary E Tinetti
    New England Journal of Medicine 07/2009; 360(23):2390-3. · 53.30 Impact Factor
  • Article: The overlap syndrome of depression and delirium in older hospitalized patients.
    Jane L Givens, Richard N Jones, Sharon K Inouye
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    ABSTRACT: To measure the prevalence, predictors, and posthospitalization outcomes associated with the overlap syndrome of coexisting depression and incident delirium in older hospitalized patients. Secondary analysis of prospective cohort data from the control group of the Delirium Prevention Trial. General medical service of an academic medical center. Follow-up interviews at 1 month and 1 year post-hospital discharge. Four hundred fifty-nine patients aged 70 and older who were not delirious at hospital admission. Depressive symptoms assessed at hospital admission using the 15-item Geriatric Depression Scale (cutoff score of 6 used to define depression), daily assessments of incident delirium from admission to discharge using the Confusion Assessment Method, activities of daily living at admission and 1 month postdischarge, and new nursing home placement and mortality determined at 1 year. Of 459 participants, 23 (5.0%) had the overlap syndrome, 39 (8.5%) delirium alone, 121 (26.3%) depression alone, and 276 (60.1%) neither condition. In adjusted analysis, patients with the overlap syndrome had higher odds of new nursing home placement or death at 1 year (adjusted odds ratio (AOR)=5.38, 95% confidence interval (CI)=1.57-18.38) and 1-month functional decline (AOR=3.30, 95% CI=1.14-9.56) than patients with neither condition. The overlap syndrome of depression and delirium is associated with significant risk of functional decline, institutionalization, and death. Efforts to identify, prevent, and treat this condition may reduce the risk of adverse outcomes in older hospitalized patients.
    Journal of the American Geriatrics Society 07/2009; 57(8):1347-53. · 3.74 Impact Factor

Institutions

  • 2012
    • Duke University
      • Department of Medicine
      Durham, NC, USA
    • University of Massachusetts Medical School
      Worcester, MA, USA
  • 2007–2012
    • McLean Hospital
      • Brain Imaging Center
      Boston, MA, USA
  • 2011
    • Harvard University
      Boston, MA, USA
  • 2007–2011
    • Pennsylvania State University
      • • Department of Public Health Sciences
      • • School of Nursing
      University Park, MD, USA
  • 2006–2011
    • University of Pittsburgh
      • • Department of Medicine
      • • School of Medicine
      Pittsburgh, PA, USA
  • 2007–2010
    • Partners HealthCare
      Boston, MA, USA
  • 2006–2009
    • Beth Israel Deaconess Medical Center
      • Department of Medicine
      Boston, MA, USA
  • 2008
    • Alpert Medical School - Brown University
      Providence, RI, USA
    • Medical University of South Carolina
      • Department of Health Administration
      Charleston, SC, USA
  • 2006–2008
    • Harvard Medical School
      • • Department of Psychiatry
      • • Department of Medicine
      Boston, MA, USA
  • 2005–2008
    • Brown University
      • Department of Medicine
      Providence, RI, USA
  • 2002–2008
    • Yale University
      • Department of Internal Medicine
      New Haven, CT, USA
  • 2004–2006
    • Yale-New Haven Hospital
      New Haven, CT, USA
    • University of Alabama at Birmingham
      Birmingham, AL, USA
  • 2002–2005
    • Georgia Health Sciences University
      • Medical College of Georgia
      Augusta, GA, USA