scholarly journals Norms for the mini-mental state examination: adjustment of the cut-off point in population-based studies (evidences from the Bambuí health aging study)

2008 ◽  
Vol 66 (3a) ◽  
pp. 524-528 ◽  
Author(s):  
Érico Castro-Costa ◽  
Cíntia Fuzikawa ◽  
Elizabeth Uchoa ◽  
Josélia Oliveira Araújo Firmo ◽  
Maria Fernanda Lima-Costa
Keyword(s):  
Cognitive Impairment ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Population Based ◽  
Score Distribution ◽  
Study Results ◽  
Health Aging ◽  
Aging Study ◽  
Study Population ◽  
State Examination

OBJECTIVE: To estimate the prevalence of cognitive impairment in an elderly population-based cohort, using several Mini-Mental State Examination (MMSE) cut-off points recommended by Brazilian authors and to examine the percentile distribution of MMSE scores in the study population. METHOD: A total of 1558 subjects aged >60 years (89.4% of the total), living in the city of Bambuí, MG, completed the MMSE and were included in the present study. RESULTS: The estimated prevalences of cognitive impairment varied from 13.2% to 27.0% depending on the cut-off point and agreement varied widely between them (kappa range: 0.38 to 0.88). Cut-off point 13/14 corresponded to the 5th percentile and 21/22 corresponded to the lower quartile of the MMSE score distribution. CONCLUSION: In the absence of comparable cut-off points, percentile distributions are more adequate for population-based studies of elderly with low schooling level.

scholarly journals Montreal Cognitive Assessment scale in patients with Parkinson Disease with normal scores in the Mini-Mental State Examination

2019 ◽  
Vol 13 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Krisly Arguedas Vásquez ◽  
Erick Miranda Valverde ◽  
Daniel Valerio Aguilar ◽  
Henri-Jacques Hernández Gabarain
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Screening Tests ◽  
Study Results ◽  
State Examination

ABSTRACT. Several screening tests have been used for cognitive evaluation in Parkinson’s disease (PD). Objective: To evaluate the usefulness of the Montreal Cognitive Assessment (MoCA) in patients with Parkinson’s disease and no cognitive impairment complaints. Methods: A total of 40 PD patients with no complaints of cognitive problems were included. Patients were selected using the Mini-Mental State Examination (MMSE) and the MoCA was then administered. Results: 80% of patients exhibited Mild Cognitive Impairment (MCI) according to the MoCA. Statistically significant differences in visuospatial, attention and delayed recall functions were evident between the normal and abnormal MoCA groups. Conclusion: The study results suggest that MoCA may be a good screening test in patients with PD who do not present cognitive complaints.

Comparison of the Montreal Cognitive Assessment and the Mini-Mental State Examination in detecting multi-domain mild cognitive impairment in a Chinese sub-sample drawn from a population-based study

2013 ◽  
Vol 25 (11) ◽  
pp. 1831-1838 ◽  
Author(s):  
YanHong Dong ◽  
Wah Yean Lee ◽  
Saima Hilal ◽  
Monica Saini ◽  
Tien Yin Wong ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Cognitive Assessment ◽  
Discriminant Validity ◽  
Mini Mental State Examination ◽  
Population Based ◽  
Montreal Cognitive Assessment ◽  
Population Based Study ◽  
State Examination

ABSTRACTBackground:We examined the discriminant validity of the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) in detecting multiple-domain mild cognitive impairment (md-MCI) in a Chinese sub-sample drawn from elderly population-based study.Methods:This study included Chinese participants from the Epidemiology of Dementia in Singapore (EDIS) study aged ≥ 60 years who underwent cognitive screening with the Abbreviated Mental Test and Progressive Forgetfulness Questionnaire. Screen-positive participants subsequently underwent MoCA, MMSE, and a comprehensive formal neuropsychological battery. MCI was defined by Petersen's criteria and further classified into single-domain MCI (sd-MCI) and md-MCI. Area under the receiver operating characteristic curve (AUC) with 95% confidence intervals (CIs) was computed for the MoCA and the MMSE in detecting md-MCI.Results:A total of 300 participants were recruited: 128 (42.7%) were diagnosed with no cognitive impairment (NCI), 47 (15.7%) with sd-MCI, and 83 (28.0%) with md-MCI. Forty-one participants were excluded, 7 (2.3%) had dementia, and 34 (11.3%) had only objective cognitive impairment without subjective complaints. Although the MoCA had a significantly larger AUC than the MMSE (0.94 (95% CI = 0.91–0.97) vs. 0.91 (95% CI = 0.86–0.95), p= 0.04), at optimal cut-off points, the MoCA (19/20) was equivalent to the MMSE (25/26) in detecting md-MCI (sensitivity: 0.80 vs. 0.87, specificity: 0.92 vs. 0.80).Conclusion:Both screening tests had good discriminant validity and can be used in detecting md-MCI in a sub-sample of Chinese drawn from a population-based study.

Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI)

2021 ◽  
Vol 2021 (7) ◽  
Author(s):  
Ingrid Arevalo-Rodriguez ◽  
Nadja Smailagic ◽  
Marta Roqué-Figuls ◽  
Agustín Ciapponi ◽  
Erick Sanchez-Perez ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Detection ◽  
Mental State ◽  
Mini Mental State Examination ◽  
State Examination

scholarly journals Preoperative Cognitive Impairment as a Predictor of Postoperative Outcomes in Elderly Patients Undergoing Spinal Surgery for Degenerative Spinal Disease

2021 ◽  
Vol 10 (7) ◽  
pp. 1385
Author(s):  
Hyung Cheol Kim ◽  
Seong Bae An ◽  
Hyeongseok Jeon ◽  
Tae Woo Kim ◽  
Jae Keun Oh ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Elderly Patients ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Operation Time ◽  
Cognitive Status ◽  
Blood Analysis ◽  
Spinal Disease ◽  
Degenerative Spinal Disease ◽  
State Examination

Cognitive status has been reported to affect the peri-operative and post-operative outcomes of certain surgical procedures. This prospective study investigated the effect of preoperative cognitive impairment on the postoperative course of elderly patients (n = 122, >65 years), following spine surgery for degenerative spinal disease. Data on demographic characteristics, medical history, and blood analysis results were collected. Preoperative cognition was assessed using the mini-mental state examination, and patients were divided into three groups: normal cognition, mild cognitive impairment, and moderate-to-severe cognitive impairment. Discharge destinations (p = 0.014) and postoperative cardiopulmonary complications (p = 0.037) significantly differed based on the cognitive status. Operation time (p = 0.049), white blood cell count (p = 0.022), platelet count (p = 0.013), the mini-mental state examination score (p = 0.033), and the Beck Depression Inventory score (p = 0.041) were significantly associated with the length of hospital stay. Our investigation demonstrated that improved understanding of preoperative cognitive status may be helpful in surgical decision-making and postoperative care of elderly patients with degenerative spinal disease.

The 37 item Version of the Mini-Mental State Examination: Normative Data in a Population-Based Cohort of Older Spanish Adults (NEDICES)

2016 ◽  
Vol 31 (3) ◽  
pp. 263-272 ◽  
Author(s):  
I. Contador ◽  
F. Bermejo-Pareja ◽  
B. Fernández-Calvo ◽  
E. Boycheva ◽  
E. Tapias ◽  
...  
Keyword(s):  
Mental State ◽  
Normative Data ◽  
Mini Mental State Examination ◽  
Population Based ◽  
State Examination

scholarly journals Can the MMSE help clinicians predict progression from mild cognitive impairment to dementia?

2015 ◽  
Vol 21 (6) ◽  
pp. 363-366 ◽  
Author(s):  
Alex J. Mitchell
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Risk Prediction ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Case Finding ◽  
Cognitive Test ◽  
Prediction Tool ◽  
State Examination

SummaryThe Mini-Mental State Examination (MMSE) is the most widely used bedside cognitive test. It has previously been shown to be poor as a case-finding tool for both dementia and mild cognitive impairment (MCI). This month's Cochrane Corner review examines whether the MMSE might be used as a risk prediction tool for later dementia in those with established MCI. From 11 studies of modest quality, it appears that the MMSE alone should not be relied on to predict later deterioration in people with MCI. As this is the case, it is likely that only a combination of predictors would be able to accurately predict progression from MCI to dementia.

scholarly journals Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores

2022 ◽  
Vol 12 (1) ◽  
pp. 37
Author(s):  
Jie Wang ◽  
Zhuo Wang ◽  
Ning Liu ◽  
Caiyan Liu ◽  
Chenhui Mao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Impairment ◽  
Random Forest ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Machine Learning Algorithms ◽  
Assessment Model ◽  
Test Time ◽  
Cognitive Screening ◽  
State Examination

Background: Mini-Mental State Examination (MMSE) is the most widely used tool in cognitive screening. Some individuals with normal MMSE scores have extensive cognitive impairment. Systematic neuropsychological assessment should be performed in these patients. This study aimed to optimize the systematic neuropsychological test battery (NTB) by machine learning and develop new classification models for distinguishing mild cognitive impairment (MCI) and dementia among individuals with MMSE ≥ 26. Methods: 375 participants with MMSE ≥ 26 were assigned a diagnosis of cognitively unimpaired (CU) (n = 67), MCI (n = 174), or dementia (n = 134). We compared the performance of five machine learning algorithms, including logistic regression, decision tree, SVM, XGBoost, and random forest (RF), in identifying MCI and dementia. Results: RF performed best in identifying MCI and dementia. Six neuropsychological subtests with high-importance features were selected to form a simplified NTB, and the test time was cut in half. The AUC of the RF model was 0.89 for distinguishing MCI from CU, and 0.84 for distinguishing dementia from nondementia. Conclusions: This simplified cognitive assessment model can be useful for the diagnosis of MCI and dementia in patients with normal MMSE. It not only optimizes the content of cognitive evaluation, but also improves diagnosis and reduces missed diagnosis.

scholarly journals Detection of mild cognitive impairment in middle-aged and older adults with obstructive sleep apnoea

2018 ◽  
Vol 52 (5) ◽  
pp. 1801137 ◽  
Author(s):  
Katia Gagnon ◽  
Andrée-Ann Baril ◽  
Jacques Montplaisir ◽  
Julie Carrier ◽  
Sirin Chami ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Obstructive Sleep Apnoea ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Sleep Apnoea ◽  
Screening Tests ◽  
Obstructive Sleep ◽  
State Examination

Obstructive sleep apnoea increases the risk for mild cognitive impairment and dementia. The present study aimed to characterise the ability of two cognitive screening tests, the Mini-Mental State Examination and the Montreal Cognitive Assessment, to detect mild cognitive impairment in adults aged 55–85 years with and without obstructive sleep apnoea.We included 42 subjects with mild and 67 subjects with moderate-to-severe obstructive sleep apnoea. We compared them to 22 control subjects. Mild cognitive impairment was diagnosed by a comprehensive neuropsychological assessment. We used receiver operating characteristic curves to assess the ability of the two screening tests to detect mild cognitive impairment.The two screening tests showed similar discriminative ability in control subjects. However, among the mild and the moderate-to-severe obstructive sleep apnoea groups, the Mini-Mental State Examination was not able to correctly identify subjects with mild cognitive impairment. The Montreal Cognitive Assessment's discriminant ability was acceptable in both sleep apnoea groups and was comparable to what was observed in controls.The Mini-Mental State Examination should not be used to screen for cognitive impairment in patients with obstructive sleep apnoea. The Montreal Cognitive Assessment could be used in clinical settings. However, clinicians should refer patients for neuropsychological assessment when neurodegenerative processes are suspected.

Sign in / Sign up

Export Citation Format

Share Document