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The 6-item Rowland Universal Dementia Assessment Scale (RUDAS) is a simple, portable multicultural scale for detecting dementia. Items address executive function, praxis, gnosis, recent memory, and category fluency. It can be directly translated to other languages, without the need to change the structure or the format of any item. The RUDAS was administered to 151 consecutive, consenting, culturally diverse community-dwelling subjects of mean age 77 years, 72% of whom had an informant. Subjects were recruited from various clinics and healthcare programs. All were evaluated for cognitive impairment in a blinded manner by experienced clinicians in geriatric medicine. According to Diagnostic and Statistical Manual of Mental Disorder-IV criteria, 40% of the subjects were normal, 22% had cognitive impairment (not otherwise specified), and 38% had dementia; 84% of whom had questionable or mild dementia. In the primary analysis (normal subjects vs. those with definite dementia), the RUDAS accurately identified dementia, with an area under the receiver operating characteristic curve of 0.94 (95% confidence interval, 0.88-0.97); at the published cut point of less than 23/30, the positive likelihood ratio (LR) for dementia diagnosis was 8.77, and the negative likelihood ratio was 0.14. Additional analyses showed that the RUDAS performed less well when subjects with cognitive impairment (not dementia) were included. In all logistic regression models, the RUDAS was an independent predictor of dementia (odds ratio 0.64, 95% confidence interval, 0.52-0.79, primary analysis model), after adjusting for age, sex, years of education, and cultural diversity, none of which were independent predictors. Further studies are needed across the full spectrum of early dementia syndromes, and in additional ethnic minority groups. [ABSTRACT FROM AUTHOR]

Objective: To develop an instrument that measures observable problematic behaviors in patients with dementia.Methodology: We used focus group interviews to identify the problematic behaviors of patients with dementia. Eighty-two behaviors grouped into 12 domains were generated from the data collected from five different focus groups. After conducting a content validation process, a 72-item Dementia Behavior Disturbance Inventory (DBDI) rated by a frequency and a disturbance scale was formed. The DBDI was administered to 200 institutionalized elderly patients with dementia by formal caregivers for psychometric evaluation.Results: Inter-item correlation of items in each domain was performed for item reduction. Forty-eight items remained after this procedure. Exploratory factor analysis obtained nine factors that explained 59.2% and 59.6% of the total variance in the frequency and disturbance scales, respectively. Cronbach's alpha of the entire 48-item frequency and disturbance scales was 0.88 and 0.91, respectively. Most of the factors had acceptable internal consistency reliability. Test-re-test reliability coefficients of the frequency and disturbance scales were 0.78 and 0.64, respectively. The DBDI was weakly but positively related to functions of daily activities and ambulation.Conclusion: The DBDI demonstrates promising psychometrical properties as an instrument to assess problematic behaviors in elderly people with dementia. [ABSTRACT FROM AUTHOR]

Objective: To develop and validate a simple method for detecting dementia that is valid across cultures, portable and easily administered by primary health care clinicians.Design: Culture and Health Advisory Groups were used in Stage 1 to develop culturally fair cognitive items. In Stage 2, clinical testing of 42 items was conducted in a multicultural sample of consecutive new referrals to the geriatric medicine outpatient clinic at Liverpool Hospital, Sydney, Australia (n = 166). In Stage 3, the predictive accuracy of items was assessed in a random sample of community-dwelling elderly persons stratified by language background and cognitive diagnosis and matched for sex and age (n = 90).Measurements: A research psychologist administered all cognitive items, using interpreters when needed. Each patient was comprehensively assessed by one of three geriatricians, who ordered relevant investigations, and implemented a standardized assessment of cognitive domains. The geriatricians also collected demographic information, and administered other functional and cognitive measures. DSM-IV criteria were used to assign cognitive diagnoses. Item validity and weights were assessed using frequency and logistic regression analyses. Receiver-operating characteristic (ROC) curve analysis was used to determine overall predictive accuracy of the RUDAS and the best cut-point for detecting cognitive impairment.Results: The 6-item RUDAS assesses multiple cognitive domains including memory, praxis, language, judgement, drawing and body orientation. It appears not to be affected by gender, years of education, differential performance factors and preferred language. The area under the ROC curve for the RUDAS was 0.94 (95% CI 0.87-0.98). At a cut-point of 23 (maximum score of 30), sensitivity and specificity were 89% and 98%, respectively. Inter-rater (0.99) and test-retest (0.98) reliabilities were very high.Conclusions: The 6-item RUDAS is portable and tests multiple cognitive domains. It is easily interpreted to other languages, and appears to be culturally fair. However, further validation is needed in other settings, and in longitudinal studies to determine its sensitivity to change in cognitive function over time. [ABSTRACT FROM AUTHOR]

Phase contrast cine MRI with determination of pulsatile aqueductal cerebrospinal fluid (CSF) stroke volume and flow velocity has been suggested to assess intracranial pulsations in idiopathic normal pressure hydrocephalus (iNPH). We aimed to compare this non-invasive measure of pulsations to intracranial pressure (ICP) pulse wave amplitude from continuous ICP monitoring. We hypothesised that a significant correlation between these two markers of intracranial pulsations exists. Fifteen patients with suspected iNPH had continuous computerised ICP monitoring with calculation of mean ICP pulse wave amplitude (MWA) from time-domain analysis. MRI measured CSF aqueductal stroke volume and peak flow velocity. Mean MWA was 5.4mmHg (range 2.3-12.4mmHg). Mean CSF stroke volume and peak flow velocity were 65μl (range 3-195μl) and 9.31cm/s (range 1.68-15.0cm/s), respectively. No significant correlation between the invasive and non-invasive measures of pulsations existed (Spearman r=-0.30 and r=-0.27, respectively; p>0.05). We observed marked intra-individual fluctuation of MWA during continuous ICP monitoring of an average of 6.0mmHg (range 2.8-12.2mmHg). The results suggest a complex interplay between measures of pulsations derived from snapshot MRI measurements and continuous computerised ICP measurements, as no significant relationship existed in our data. Further study is needed to better understand the temporal profile of CSF MRI flow studies, as substantial variation in MWA over the course of several hours of ICP monitoring is common, suggesting that these physiologic fluctuations might obscure MRI snapshot measures of intracranial pulsations., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Objective: To compare the accuracy of the Rowland Universal Dementia Assessment Scale (RUDAS) and the Folstein Mini-mental State Examination (MMSE) for diagnosis of dementia in a multicultural cohort of elderly persons., Methods: A total of 129 community-dwelling persons were selected at random from a database of referrals to an aged-care team. Subjects were stratified according to language background and cognitive diagnosis, and matched for age and gender. The RUDAS and the MMSE were administered to each subject in random order. Within several days, a geriatrician assessed each subject for dementia (DSM-IV criteria) and disease severity (Clinical Dementia Rating Scale). All assessments were carried out independent and blind. The geriatrician also administered the Modified Barthel Index and the Lawton Instrumental Activities of Daily Living Scale, and screened all participants for non-cognitive disorders that might affect instrument scores., Results: The area under the receiver operating characteristic curve (AUC) for the RUDAS [0.92, 95% confidence interval (95%CI) 0.85-0.96] was similar to the AUC for the MMSE (0.91, 95%CI 0.84-0.95). At the published cut-points (RUDAS < 23/30, MMSE < 25/30), the positive and negative likelihood ratios for the RUDAS were 19.4 and 0.2, and for the MMSE 2.1 and 0.14, respectively. The MMSE, but not the RUDAS, scores were influenced by preferred language (p = 0.015), total years of education (p = 0.016) and gender (p = 0.044)., Conclusions: The RUDAS is at least as accurate as the MMSE, and does not appear to be influenced by language, education or gender. The high positive likelihood ratio for the RUDAS makes it particularly useful for ruling-in disease.

The aim of this randomised controlled trial involving 224 elderly patients was to determine whether early geriatric assessment (in the form of an aged care nurse intervention based in the emergency department) reduced admission to the hospital, length of inpatient stay (LOS), or functional decline during the hospitalisation. Baseline geriatric assessments were recorded in the medical files of intervention patients (n = 114). The nurse also liaised with the patients' carers and health care providers, organised referrals for out-of-hospital assessment and support services, and assisted in the care of those admitted as inpatients by documenting suggestions for assessment and referral. Assessment data from control patients (n = 110) were withheld, and the nurse had no further involvement in their inpatient or outpatient care. One hundred and seventy-one patients (76%) were admitted to the hospital, for a median LOS of 10 days. The nurse successfully identified those needing admission (odds ratio [OR], 14.0; 95% confidence interval [CI], 2.6-75.1). Thirty-nine of 160 inpatients with available data (24%) had a functional deterioration during the hospitalisation. The intervention had no significant effect on admission to the hospital (OR, 0.7; CI, 0.3-1.7), LOS (hazard ratio, 1.1; CI, 0.7-1.5) or functional decline during the hospitalisation (OR, 1.3; CI, 0.5-3.3).

Objective: To compare the accuracy of five clock scoring methods for detecting dementia in English-speaking patients., Design: A prospective cohort study., Setting: A general geriatric outpatient clinic in southwest Sydney, Australia., Participants: A total of 127 consecutive new referrals to the clinic, of mean age 78.2 years., Measurements: The clock drawing test was conducted at the beginning of each clinic appointment by a blinded observer. Each patient was then assessed by a geriatrician, who collected demographic data, administered the modified Barthel index, the geriatric depression scale, and the Folstein Mini-Mental State Examination, and categorised each patient as demented or not demented, according to DSM-4 criteria. Each clock was scored according to the methods of Mendez, Shulman, Sunderland, Watson and Wolf-Klein, and evaluated for reliability, and predictive accuracy, using receiver operating characteristic (ROC) curve analysis., Results: The area under the ROC curve was largest for the Shulman (0.79, 95% CI 0.70-0.85) and Mendez (0.78, 95% CI 0.70-0.85) methods. Both predicted dementia more accurately than the Sunderland (area = 0.71) and Watson (area = 0.65) methods (p < 0.05). The inter-rater (0.81-0.93) and intra-rater (0.87-0.96) correlation coefficients were high for all five methods., Conclusions: While substantial differences among the clock scoring methods were evident in our sample, the accuracy of each was modest at best. Unless further studies in relevant settings suggest otherwise, we caution on the use of clock drawing alone to screen for dementia., (Copyright 2001 John Wiley & Sons, Ltd.)