Informant-Based Staging of Dementia Using the Clinical Dementia Rating

Waite, Louise M.; Grayson, David; Jorm, Anthony F.; Creasey, Helen; Cullen, John; Bennett, Hayley; Casey, Briege; Broe, G. A.

doi:10.1097/00002093-199903000-00005

Cited by 63 publications

(47 citation statements)

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“…The study shows that using the Clinical Dementia Rating-SB (CDR-SB) and the measurements of hippocampal volume at the baseline it is possible to predict dementia after a two-year follow-up. This is in accordance with evidence gathered in the past in nursing homes and in community studies, which have shown that CDR may be used solely to ascertain dementia, and that is a valid tool to replace the dementia work up 9,10 . The question remains: should those patients with mild cognitive impairment (MCI) who developed to dementia be seen as a different group in relation to those who have not necessarily evolved to dementia, or should they all be part of a group of pre-clinical dementia in AD or other types of dementia as time goes by?…”

supporting

confidence: 91%

Predicting dementia or diagnosing early stages of Alzheimer's disease?: how the hippocampal volume and the Clinical Dementia Rating-SB can help early diagnosis

Laks¹

2012

Arq. Neuro-Psiquiatr.

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supporting

confidence: 91%

Predicting dementia or diagnosing early stages of Alzheimer's disease?: how the hippocampal volume and the Clinical Dementia Rating-SB can help early diagnosis

Laks¹

2012

Arq. Neuro-Psiquiatr.

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“…Residents with a total score of 1 or higher are regarded as having dementia. The cut-off of a CDR ≥1 as defining dementia has been found adequate in previous Norwegian and international studies [22,23,31]. The scores indicate the severity of dementia (CDR score 1 = mild, 2 = moderate and 3 = severe dementia).…”

Section: Methodsmentioning

confidence: 96%

Prevalence and Severity of Dementia in Nursing Home Residents

Helvik¹,

Engedal

Benth

et al. 2015

Dement Geriatr Cogn Disord

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Background/Aims: The aim of this study was to compare the presence and severity of dementia in two large cross-sectional samples of nursing home residents from 2004/2005 and 2010/2011. Methods: Demographic information as well as data on the type of nursing home unit, length of stay before assessment, physical health, regularly used prescribed drugs and Clinical Dementia Rating scale scores were used in the analyses. Logistic and linear regression models for hierarchical data were estimated. Results: The odds of the occurrence and of a greater severity of dementia were higher in 2010/2011 than in 2004/2005. Independent of the time of study, married men had more severe dementia than single men, and single women had more severe dementia than single men. Conclusion: The findings may reflect the increase in the need for more nursing home beds designed for people with dementia between 2004/2005 and 2010/2011.

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“…AD [20], Lewy body dementia [21], frontotemporal dementia [22] and vascular dementia [23] were diagnosed according to standard criteria. For patients who refused the follow-up visit, ascertainment of dementia was performed through an informant telephone interview, following the validated informant-based CDR scale score [24]. …”

Section: Methodsmentioning

confidence: 99%

Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia

Cova

Clerici

Maggiore

et al. 2016

Dement Geriatr Cogn Disord

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Aims: To examine the relationship between body mass index (BMI) and progression to dementia and Alzheimer's disease (AD) in mild cognitive impairment (MCI). Materials and Methods: Two hundred and twenty-eight MCI subjects (mean age 74.04 ± 6.94 years; 57% female) from a memory clinic were followed for 2.40 ± 1.58 years. Baseline height and weight were used to calculate the BMI. The main outcome was progression to dementia (DSM-IV criteria) and AD (NINCDS-ADRDA criteria). Cox proportional hazard models were used to assess the longitudinal association of BMI with dementia and AD, adjusting for a comprehensive set of covariates, including vascular risk factors/diseases and neuroimaging profiles. Results: Out of 228 subjects with MCI, 117 (51.3%) progressed to dementia. Eighty-nine (76%) of the incident dementia cases had AD. In both unadjusted and multi-adjusted models, a higher BMI was associated with a reduced risk of dementia (multi-adjusted HR 0.9; 95% CI 0.8-0.9) and AD (multi-adjusted HR 0.9; 95% CI 0.8-0.9). Being underweight increased the risk of all types of dementia (multi-adjusted HR 2.5; 95% CI 1.2-5.1) but was not specifically associated with AD (multi-adjusted HR 2.2; 95% CI 0.9-5.3). Conclusions: BMI predicted progression of MCI to dementia and AD. In particular, a higher BMI was associated with a lower risk of dementia and AD, and underweight was associated with a higher risk of dementia. BMI assessment may improve the prognostic accuracy of MCI in clinical practice.

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Informant-Based Staging of Dementia Using the Clinical Dementia Rating

Cited by 63 publications

References 0 publications

Predicting dementia or diagnosing early stages of Alzheimer's disease?: how the hippocampal volume and the Clinical Dementia Rating-SB can help early diagnosis

Predicting dementia or diagnosing early stages of Alzheimer's disease?: how the hippocampal volume and the Clinical Dementia Rating-SB can help early diagnosis

Prevalence and Severity of Dementia in Nursing Home Residents

Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia

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