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S K Inouye

Publications and source records attributed to S K Inouye.

49 records · Page 3Linked to original sources

A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics.

OBJECTIVE: To prospectively develop and validate a predictive model for the occurrence of new delirium in hospitalized elderly medical patients based on characteristics present at admission. DESIGN: Two prospective cohort studies done in tandem. SETTING: University teaching hospital. PATIENTS: The development cohort included 107 hospitalized general medical patients 70 years or older who did not have dementia or delirium at admission. The validation cohort included 174 comparable patients. MEASUREMENTS: Patients were assessed daily for delirium using a standardized, validated instrument. The predictive model developed in the initial cohort was then validated in a separate cohort of patients. RESULTS: Delirium developed in 27 of 107 patients (25%) in the development cohort. Four independent baseline risk factors for delirium were identified using proportional hazards analysis: These included vision impairment (adjusted relative risk, 3.5; 95% Cl, 1.2 to 10.7); severe illness (relative risk, 3.5; Cl, 1.5 to 8.2); cognitive impairment (relative risk, 2.8; Cl, 1.2 to 6.7); and a high blood urea nitrogen/creatinine ratio (relative risk, 2.0; Cl, 0.9 to 4.6). A risk stratification system was developed by assigning 1 point for each risk factor present. Rates of delirium for low- (0 points), intermediate- (1 to 2 points), and high-risk (3 to 4 points) groups were 9%, 23%, and 83% (P < 0.0001), respectively. The corresponding rates in the validation cohort, in which 29 of 174 patients (17%) developed delirium, were 3%, 16%, and 32% (P < 0.002). The rates of death or nursing home placement, outcomes potentially related to delirium, were 9%, 16%, and 42% (P = 0.02) in the development cohort and 3%, 14%, and 26% (P = 0.007) in the validation cohort. CONCLUSIONS: Delirium among elderly hospitalized patients is common, and a simple predictive model based on four risk factors can be used at admission to identify elderly persons at the greatest risk.

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A predictive index for functional decline in hospitalized elderly medical patients.

OBJECTIVE: To prospectively develop and validate a predictive index to identify on admission elderly hospitalized medical patients at risk for functional decline. DESIGN: Two prospective cohort studies, in tandem. The predictive model developed in the initial cohort was subsequently validated in a separate cohort. SETTING: General medical wards of a university teaching hospital. PATIENTS: For the development cohort, 188 hospitalized general medical patients aged > or = 70 years. For the validation cohort, 142 comparable patients. MEASUREMENT AND MAIN RESULTS: The subjects and their nurses were interviewed twice weekly using standardized, validated instruments. Functional decline occurred among 51/188 (27%) patients in the development cohort. Four independent baseline risk factors (RFs) for functional decline were identified: decubitus ulcer (adjusted relative risk [RR] 2.7; 95% confidence interval [CI] 1.4, 5.2); cognitive impairment (RR 1.7; CI 0.9, 3.1); functional impairment (RR 1.8; CI 1.0, 3.3); and low social activity level (RR 2.4; CI 1.2, 5.1). A risk-stratification system was developed by adding the numbers of RFs. Rates of functional decline for the low- (0 RF), intermediate- (1-2 RFs), and high- (3-4 RFs) risk groups were 8%, 28%, and 63%, respectively (p < 0.0001). The corresponding rates in the validation cohort, of whom 34/142 (24%) developed functional decline, were 6%, 29%, and 83% (p < 0.0001). The rates of death or nursing home placement, clinical outcomes associated with functional decline in the hospital, were 6%, 19%, and 41% (p < 0.002) in the development cohort and 10%, 32%, and 67% (p < 0.001) in the validation cohort, respectively, for the three risk groups. CONCLUSIONS: Functional decline among hospitalized elderly patients is common, and a simple predictive model based on four risk factors can be used on admission to identify elderly persons at greatest risk.

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Cognitive performance in a high-functioning community-dwelling elderly population.

BACKGROUND: The purpose of this study was to examine the role of demographic factors as predictors of cognitive performance in a high-functioning, community-dwelling elderly population. METHODS: The study cohort consisted of 1,192 community-dwelling subjects, who were selected to represent the highest third of an elderly population with respect to physical and cognitive functioning. A neuropsychological battery, including 5 cognitive performance subtests (confrontation naming, delayed recognition span, similarities, figure-copying, and incidental delayed recall) was administered to the subjects in their homes. RESULTS: A summary measure of the 5 neuropsychological subtest scores, the total cognitive score, arrayed the study group across a broad range of difficulty, creating a near-normal distribution. Education, income, and race had statistically significant associations with the total score and the individual subtests. The effect of education was the most striking finding, explaining 30% of the variance in the total score. Education was most strongly related to the abstraction (partial R2 = .11) subtest, and least related to the memory subtests, delayed recognition (R2 = .02) and delayed recall (R2 = .01). CONCLUSIONS: Demographic factors are important predictors of cognitive performance in this high-functioning cohort. Education had the strongest influence on overall cognitive performance, and particularly notable associations with subtests that depended upon the use of previously learned materials. Longitudinal follow-up, now underway, will help to determine whether high levels of education help to maintain cognitive performance with age.

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Technology assessment in diagnostic imaging. A proposal for a phased approach to evaluating radiology research.

RATIONALE AND OBJECTIVES: The authors propose an objective basis for critical evaluation of research trends and define and analyze a sample of radiology studies according to research phase. METHODS: A random sample of 146 original diagnostic studies from two radiology journals was categorized according to phase, modality, and design by three physician reviewers, collated with a microcomputer database, and analyzed using an SAS program. RESULTS: Phase 1 studies (technical evaluation) constituted 18.5% of publications: phase 2 (standardization and tissue characterization), 10.3%; phase 3 (spectrum of appearances), 40.4%; phase 4 (diagnostic efficacy), 21.2%; and phase 5 (clinical evaluation), 9.6%. Of 48 diagnostic efficacy studies, 42% were prospective (versus 35% for the total sample), 38% were controlled (median sample size, 53 [versus 30 for the total sample]). Only 27% of the 48 diagnostic efficacy studies were externally funded. Research in magnetic resonance imaging (MRI), which comprised 45% of all publications, was oriented toward phase 1 (32%) rather than phase 5 studies (0%). Phase 5 studies were the focus of 18% and 8% of ultrasound (US) and computed tomography (CT) studies, respectively. There were more prospective, controlled efficacy studies in US than in MRI or CT. CONCLUSIONS: Analyses of research trends will be facilitated by use of a standard taxonomy which adopts a modality-based, phased approach.

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The Yale Geriatric Care Program: a model of care to prevent functional decline in hospitalized elderly patients.

OBJECTIVE: To describe the structure and implementation of the Yale Geriatric Care Program, an innovative, nursing-centered model for developing geriatric nursing expertise throughout an acute-care hospital. DESIGN: Descriptive study of an intervention in a prospective cohort of patients. SETTING: University teaching hospital. PATIENTS: Two hundred forty four patients aged 70 years and older on four non-intensive care intervention units during the study period (July 9, 1990 to July 31, 1991). INTERVENTION: The Geriatric Care Program involved an integrated model of primary nurses, specially trained unit-based geriatric resource nurses, gerontological nurse specialists, and geriatric physicians. The intervention included surveillance and identification of frail older patients, unit-based geriatric educational programs for all nurses, special education and support for the geriatric resource nurses, and twice-weekly rounds of the Geriatric Care Team. RESULTS: The Geriatric Care Program has been successfully implemented on four units. The interventions ranged from general clarification of goals in 226 (92%) to specific recommendations for management of immobility in 100 (41%), bladder/bowel problems in 99 (41%), pressure ulcer treatment or prevention in 61 (25%), confusion evaluation or management in 62 (25%), and adjustment of medications in 43 (18%). Overall, 68% of the specific recommendations were documented to have been implemented. Barriers to implementation of the program have included initial difficulties with recruitment and retainment of geriatric resource nurses (due to high nursing turnover and the increased time commitment required), breakdown in communication and carryover of recommendations between nursing shifts, and obstacles to communication between the nursing and medical staff. CONCLUSIONS: An innovative model of care, in which geriatric nursing was integrated as part of standard nursing care on selected medical and surgical units, has been designed and implemented. Evaluation of the effectiveness and costs of this intervention are currently underway.

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A controlled trial of a nursing-centered intervention in hospitalized elderly medical patients: the Yale Geriatric Care Program.

OBJECTIVE: To test the effectiveness of a nursing-centered intervention to prevent functional decline among hospitalized elderly medical patients. DESIGN: Prospective cohort study with stratified and matched cohort analyses. SETTING: General medicine wards of a university teaching hospital. PATIENTS: Two hundred sixteen patients aged > or = 70 years (85 intervention and 131 control patients). INTERVENTION: The intervention included identification and surveillance of frail older patients, twice-weekly rounds of the Geriatric Care Team, and a nursing-centered educational program. MAIN OUTCOME MEASURE: Functional decline, defined as a net decline in five activities of daily living (ADLs). RESULTS: In stratified analyses, the intervention resulted in a beneficial effect with a relative risk of 0.82 (95% confidence interval [CI] 0.54 to 1.24) in patients (n = 106) with one of four geriatric target conditions at baseline (eg, delirium, functional impairment, incontinence, and pressure sores). The intervention had no effect in patients without target conditions at baseline (n = 110); thus, this subgroup was excluded from further analyses. When patients were matched on number of target conditions and risk for functional decline at baseline (n = 66), the intervention resulted in a significant beneficial effect, with a reduction in functional decline from 64% in controls to 41% in the intervention group, for a relative risk of 0.64 (95% CI, 0.43 to 0.96). The intervention group had significantly less decline in ADL score and in individual ADLs than control subjects. Specific interventions aimed at maximizing function, such as physical therapy, were received more often by intervention patients; however, the beneficial effects of the intervention were achieved without increasing per-day hospital costs. CONCLUSIONS: The intervention appears effective to decrease functional decline in targeted elderly hospitalized medical patients.

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Hospital Outcomes Project for the Elderly (HOPE): rationale and design for a prospective pooled analysis.

OBJECTIVE: To describe a collaborative investigation that is based on a series of six clinical studies aimed at reducing functional decline in the acutely-ill hospitalized elderly. DESIGN: A prospective, multicenter pooled analysis project involving collection of a common set of data from a group of related but distinct intervention trials with similar objectives. SETTING: Five university-affiliated hospitals and one community hospital. PARTICIPANTS: Elderly patients (age minimums from 65 to 75 years) admitted for a range of acute illnesses. INTERVENTIONS: Site-specific interventions include exercise and physical therapy; developing and implementing methods to improve detection and evaluation of delirious patients; a multidisciplinary geriatric care unit; a multidisciplinary intervention implemented in-hospital that includes some post-discharge care; and a nursing-centered geriatric care program. MAIN OUTCOME MEASURE: Functional status. CONCLUSION: The prospective, multicenter design of the Hospital Outcomes Project for the Elderly (HOPE) provides an innovative approach for analysis of hospital outcomes in the elderly. Although differences in study populations and interventions exist, qualitative comparisons across sites will enhance generalizability and will provide a great opportunity to examine consistency among the sites. The HOPE pooled analysis project will impart greater statistical power to detect the primary and secondary outcomes compared with previous single-center trials that have assessed interventions related to functional decline in the hospitalized elderly.

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Predictors of formal home health care use in elderly patients after hospitalization.

OBJECTIVE: To prospectively study the incidence of and risk factors for home health care (HHC) use in a cohort of elderly medical and surgical patients discharged from acute care. Although HHC is commonly received by patients in this group, its predictors have not been well studied. DESIGN: Prospective cohort study. SETTING: Medical and surgical wards at a university teaching hospital, followed by 23 Medicare-certified HHC agencies in the study catchment area. PATIENTS: 226 medical and surgical patients aged 70 years and older immediately after discharge from acute care. MEASUREMENTS: HHC initiated within 14 days after hospital discharge, measured by direct review of HHC agency records. RESULTS: The incidence of HHC initiated within 2 weeks post-discharge was 75/226 (34%). The median duration of service was 30 days (range 3-483) with a median of 3 visits per week. Four independent predictors of HHC were identified through multivariate analysis: educational level < or = 12 years (relative risk (RR) 3.3; 95% confidence interval (CI) 1.6 to 6.6); less accessible social support (RR, 1.7; CI 0.9 to 3.1); impairment in at least one instrumental activity of daily living (RR, 1.9; CI, 1.0, 3.4); and prior HHC use (RR, 2.1; CI, 1.2 to 3.6). Risk strata were created by adding one point for each risk factor present: with 0-1 risk factors, 8% used HHC; with two risk factors, 28%; with three risk factors, 45%, with four risk factors, 76%. This trend was statistically significant (P < 0.001). CONCLUSIONS: HHC use is common among elderly patients after discharge from acute care. A simple predictive model based on four risk factors can be used on admission to predict HHC use. This model may be useful for discharge planning and health care utilization planning for the elderly population.

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Clarifying confusion: the confusion assessment method. A new method for detection of delirium.

OBJECTIVE: To develop and validate a new standardized confusion assessment method (CAM) that enables nonpsychiatric clinicians to detect delirium quickly in high-risk settings. DESIGN: Prospective validation study. SETTING: Conducted in general medicine wards and in an outpatient geriatric assessment center at Yale University (site 1) and in general medicine wards at the University of Chicago (site 2). PATIENTS: The study included 56 subjects, ranging in age from 65 to 98 years. At site 1, 10 patients with and 20 without delirium participated; at site 2, 16 patients with and 10 without delirium participated. MEASUREMENTS AND MAIN RESULTS: An expert panel developed the CAM through a consensus building process. The CAM instrument, which can be completed in less than 5 minutes, consists of nine operationalized criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R). An a priori hypothesis was established for the diagnostic value of four criteria: acute onset and fluctuating course, inattention, disorganized thinking, and altered level of consciousness. The CAM algorithm for diagnosis of delirium required the presence of both the first and the second criteria and of either the third or the fourth criterion. At both sites, the diagnoses made by the CAM were concurrently validated against the diagnoses made by psychiatrists. At sites 1 and 2 values for sensitivity were 100% and 94%, respectively; values for specificity were 95% and 90%; values for positive predictive accuracy were 91% and 94%; and values for negative predictive accuracy were 100% and 90%. The CAM algorithm had the highest predictive accuracy for all possible combinations of the nine features of delirium. The CAM was shown to have convergent agreement with four other mental status tests, including the Mini-Mental State Examination. The interobserver reliability of the CAM was high (kappa = 0.81 - 1.0). CONCLUSIONS: The CAM is sensitive, specific, reliable, and easy to use for identification of delirium.

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Standard and computed tomography in the evaluation of neoplasms of the chest. A comparative efficacy assessment.

Although in practice computed tomography (CT) has nearly replaced standard tomography in the evaluation of chest diseases, an analysis of the literature shows that standard tomography may be preferred in some settings. After a detailed review of studies on test performance, we calculated overall sensitivity and specificity values. Using Bayesian analysis, we then developed guidelines for choosing between computed and standard tomography. A test is recommended if its results might obviate the need for an invasive procedure. Standard tomography is recommended in the detection of mediastinal metastases from lung cancer. In the detection of hilar metastases, standard tomography is recommended for patients who have low pretest probabilities of metastases to this site, and computed tomography is recommended for patients who have high pretest probabilities. Computed tomography is recommended for the detection of calcification in solitary pulmonary nodules. Tomographic procedures are not recommended when the pretest probability is intermediate. The discrepancy between current practice and these guidelines highlights the need for carefully designed, multi-institutional comparative studies of radiographic procedures.

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Predisposing and precipitating factors for delirium in hospitalized older patients.

Delirium is a common and serious problem for older hospitalized patients. This investigation proposes a multifactorial model of delirium etiology, involving a complex interrelationship of predisposing (vulnerability) factors and precipitating factors (acute insults). An overview of risk factors for delirium identified in 14 studies published since 1980 is provided. Although these studies identify key risk factors for delirium, they do not allow the examination of the interrelationship of predisposing and precipitating factors. Thus, we present two prospective cohort studies by our group which empirically examine: (1) predisposing (vulnerability) factors, (2) precipitating factors, and (3) the interrelationship of predisposing and precipitating factors. Understanding these risk factors is the key to developing appropriate preventive strategies and to target intermediate and high risk patients for intervention efforts.

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