Diagnostic Accuracy of Mini-Mental Status Examination and Revised Hasegawa Dementia Scale for Alzheimer’s Disease

Kim, K.W.; Lee, D.Y.; Jhoo, Jin Hyeong; Youn, Jong Choul; Suh, Young Ju; Yang, Jun; Seo, Eun Hyun; Woo, Jong Inn

doi:10.1159/000084558

Cited by 135 publications

(115 citation statements)

References 19 publications

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“…In addition, no specific instrument is needed for the evaluation, and the procedure is simple. The HDS-R is a method of evaluating intelligence that was designed in Japan, and its usefulness has also been confirmed in other countries [14].…”

Section: Discussionmentioning

confidence: 99%

“…For the evaluation of intelligence, the presence (in this case, also the severity) or absence of a decrease in intelligence was evaluated using the standard method in Japan, which is a revised version of Hasegawa's dementia scale (HDS-R) [14]. For the evaluation of the level of consciousness disturbance, the Japan coma scale (JCS) was used.…”

Section: Data Collectionmentioning

confidence: 99%

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Early prediction of gait ability in patients with hip fracture

Tsushima

Hada

Iwata

et al. 2009

Environ Health Prev Med

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Objective Many elderly patients with hip fracture (HF) present with gait deficits. As such, an HF both indirectly and directly increases the number of elderly people requiring care, making it a major medical and economic problem in an aging society. To facilitate the treatment of HF and attempt to resolve the consequences, we have attempted to derive an equation that would predict gait ability. The prediction equation was developed by multivariate analysis using standard evaluation methods, with inclusion of guaranteed objectivity where possible. We attached greater importance to the prediction of gait ability early in the period of hospitalization, since this allows for early determination of an efficient therapeutic strategy. Methods The subjects were 54 HF patients (six men, 48 women; mean age: 78.0 ± 8.4 years) admitted to general hospitals in Hirosaki, Aomori prefecture, between 1998 and 2007. All were aged 60 years or older and were able to walk immediately before injury; physical therapy was initiated for all individuals during hospitalization. Evaluation items related to physical function, psychological function, and complications that may affect gait were evaluated; these included the manual muscle test, motor age test, Katz's index, dementia (HDS-R), consciousness disturbance, among others.Results Based on data for 35 patients who could gait at discharge and 19 patients who could not, a model including MAT, HDS-R, and the New York Heart Association classification of cardiac function scores (P \ 0.001) was obtained using multiple logistic regression analysis (discriminant hitting ratio: 94.4%). Conclusions The effectiveness of the derived model suggests that both physical and psychological functions should be considered for gait prediction.

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Section: Discussionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Early prediction of gait ability in patients with hip fracture

Tsushima

Hada

Iwata

et al. 2009

Environ Health Prev Med

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“…As for determination of cognitive impairment, we adopted the Revised Hasegawa's Dementia Scale (HDS-R). The HDS-R measures the level of cognitive impairment of not only ordinary patients, but also disabled patients with motor and visual impairment [21,22]. As for determination of ADL, we adopted the Barthel Index (BI).…”

Section: Methodsmentioning

confidence: 99%

Development of an assessment sheet for fall prediction in stroke inpatients in convalescent rehabilitation wards in Japan

Nakagawa

Sannomiya²,

Kinoshita

et al. 2008

Environ Health Prev Med

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Objective We conducted a study to develop an assessment sheet for fall prediction in stroke inpatients that is handy and reliable to help ward staff to devise a fall prevention strategy for each inpatient immediately upon admission. Methods The study consisted of three steps: (1) developing a data sampling form to record variables related to risk of falls in stroke inpatients and conducting a follow-up survey for stroke inpatients from their admission to discharge by using the form; (2) carrying out analyses of characteristics of the present subjects and selecting variables showing a high hazard ratio (HR) for falls using the Cox regression analysis; (3) developing an assessment sheet for fall prediction involving variables giving the integral coefficient for each variable in accordance with the HR determined in the second step. Results and discussion (1) Subjects of the present survey were 704 inpatients from 17 hospitals including 270 fallers.(2) We selected seven variables as predictors of the first fall: central paralysis, history of previous falls, use of psychotropic medicines, visual impairment, urinary incontinence, mode of locomotion and cognitive impairment. (3) We made 960 trial models in combination with possible coefficients for each variable, and among them we finally selected the most suitable model giving coefficient number 1 to each variable except mode of locomotion, which was given 1 or 2. The area under the ROC curve of the selected model was 0.73, and sensitivity and specificity were 0.70 and 0.69, respectively (4/5 at the cut-off point). Scores calculated from the assessment sheets of the present subjects by adding coefficients of each variable showed normal distribution and a significantly higher mean score in fallers (4.94 ± 1.29) than in non-fallers (3.65 ± 1.58) (P = 0.001). The value of the Barthel Index as the index of ADL of each subject was indicated to be in proportion to the assessment score of each subject. Conclusion We developed an assessment sheet for fall prediction in stroke inpatients that was shown to be available and valid to screen inpatients with risk of falls immediately upon admission.

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“…First, the relative weight of the items for memory, which is the earliest and the most common cognitive deficit of dementia, is only 6 out of 30 points. This low relative weight for the memory measures was found to be associated with the lower diagnostic accuracy of the MMSE for dementia compared with other screening tests such as the Revised Hasegawa Dementia Scale [5,6,7]. Second, its performance was influenced more significantly by educational level than other screening instruments for dementia [8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

A New Scoring Method of the Mini-Mental Status Examination to Screen for Dementia

Choe

Han²,

Kim

et al. 2014

Dement Geriatr Cogn Disord

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Background: Although the Mini-Mental Status Examination (MMSE) is the most widely used screening instrument for dementia, it has several limitations. Methods: We developed and validated a new scoring method of the MMSE, namely the short form of the MMSE (MMSE-S). Results: The MMSE-S was more robust to demographic influences than the MMSE. The influence of education, in particular, was smaller in the MMSE-S compared to the MMSE (p < 0.01). The diagnostic accuracy of the MMSE-S for very mild to mild dementia was also better than that of the original MMSE (p < 0.0001). Its specificity, in particular, was higher than that of the original MMSE. In Korea, we could improve the post-test probability for dementia from 46.88 to 64.76% by employing the MMSE-S instead of the MMSE. We also provided optimal cut-off scores for dementia stratified by age, education, and gender, which may further improve the diagnostic accuracy of the MMSE-S for dementia. Conclusion: Due to its good accuracy and brevity, the MMSE-S may contribute to enhancing the cost-effectiveness of and accessibility to dementia screening as well as early diagnosis and treatment of dementia, particularly in low- and middle-income countries.

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Diagnostic Accuracy of Mini-Mental Status Examination and Revised Hasegawa Dementia Scale for Alzheimer’s Disease

Cited by 135 publications

References 19 publications

Early prediction of gait ability in patients with hip fracture

Early prediction of gait ability in patients with hip fracture

Development of an assessment sheet for fall prediction in stroke inpatients in convalescent rehabilitation wards in Japan

A New Scoring Method of the Mini-Mental Status Examination to Screen for Dementia

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