Conversion between Mini-Mental State Examination and Montreal Cognitive Assessment scores in older adults undergoing selective surgery using Rasch analysis

Equating conversion norms for the Mini-Mental State Examination and Montreal Cognitive Assessment in healthy subjects and patients with neurodegenerative disorders

INTRODUCTION

The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used.

OBJECTIVE/AIM

The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases.

METHODS

A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample.

RESULTS

The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE.

CONCLUSION

Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range.

The utility of remote cognitive screening tools in identifying cognitive impairment in older surgical patients: An observational cohort study

STUDY OBJECTIVES

To determine the prevalence of suspected cognitive impairment using the Centers for Disease Control and Prevention (CDC) cognitive question, Ascertain Dementia Eight-item Questionnaire (AD8), Modified Telephone Interview for Cognitive Status (TICS-M), and Telephone Montreal Cognitive Assessment (T-MoCA), the agreement between each tool beyond chance, and the risk factors associated with a positive screen.

DESIGN

Multicenter prospective study.

SETTING

Remote preoperative assessments.

PATIENTS

307 non-cardiac surgical patients aged ≥65 years.

MEASUREMENTS

Prevalence, Cohen's kappa (κ).

MAIN RESULTS

The T-MoCA detected the highest prevalence of suspected cognitive impairment (28%), followed by the AD8 (17%), CDC cognitive question (9%), and TICS-M (6%). The four screening tools showed poor agreement beyond chance with one another, with the CDC cognitive question and AD8 approaching the threshold for weak agreement (κ = 0.39). Depression was associated with screening positive on the CDC cognitive question (OR: 2.81; 95% CI: 1.04, 7.68). Obstructive sleep apnea (OSA) (OR: 3.10; 95% CI: 1.26, 7.71) and functional disability (OR: 3.74; 95% CI: 1.34, 11.11) were associated with a positive AD8 screen. Older age (OR: 1.56; 95% CI: 1.01, 2.41), male sex (OR: 3.08; 95% CI: 1.09, 9.40), and higher pain level (OR: 1.21; 95% CI: 1.01, 1.47) were associated with a positive TICS-M screen. Similarly, older age (OR: 1.33; 95% CI: 1.03, 1.73), male sex (OR: 2.02; 95% CI: 1.09, 3.83), and higher pain level (OR: 1.15; 95% CI: 1.02, 1.30) were associated with a positive T-MoCA screen.

CONCLUSIONS

The CDC cognitive question, AD8, TICS-M, and T-MoCA were easily implemented during preoperative assessment among older surgical patients. OSA, functional disability, and depression were associated with complaints on the CDC cognitive question and AD8. Older age, male sex, and higher pain level were associated with screening positive on the TICS-M and T-MoCA. Early remote cognitive screening may enhance risk stratification of vulnerable patients.

Assessing limb apraxia after ischemic stroke: validation of the Chinese version of the diagnostic instrument for limb apraxia-short version (DILA-S) classic subtests

OBJECTIVE

This study aimed to translate and validate the Chinese version of the Diagnostic Instrument for Limb Apraxia-Short Version (DILA-S) classic subtests in Chinese patients after ischemic stroke.

METHODS

The DILA-S was translated and adapted for use in Mandarin-speaking Chinese patients. Internal consistency, test-retest reliability, dimensionality, convergent validity, divergent validity, and concurrent validity were tested.

RESULTS

A total of 112 ischemic stroke patients were included. The internal consistency (Cronbach's alpha 0.85 ~ 0.92) and test-retest reliability (ICC 0.88 ~ 0.93) were found satisfactory. Exploratory factor analysis obtained two factors for the imitation subtests and the execution scale of the pantomime of tool use. Convergent validity was supported by strong correlations (ρ > 0.7) between the scores of the DILA-S subtests and the LOTCA motor praxis subscale. Divergent validity was acceptable for weak to moderate correlations (ρ ranged from -0.25~ -0.41) between the scores of the DILA-S subtests and the NIHSS. Concurrent validity was supported by strong correlations (ρ > 0.7) between the scores of the DILA-S subtests and the MoCA, as well as strong correlations (ρ > 0.6 < 0.7) between the scores of the DILA-S subtests and the BI.

CONCLUSION

The Chinese version of the DILA-S classic subtests demonstrated satisfactory psychometric properties for assessing limb apraxia in Chinese patients after ischemic stroke.

Conversion between the Montreal Cognitive Assessment and the Mini-Mental Status Examination

BACKGROUND

Early and accurate detection of cognitive changes using simple tools is essential for an appropriate referral to a more detailed neurocognitive assessment and for the implementation of therapeutic strategies. The Mini-Mental Status Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are two commonly used psychometric tests for cognitive screening. Both tests have different strengths and weaknesses. Preferences regarding test selection may therefore differ among clinicians. The aim of this retrospective observational cohort study was to define corresponding scores for the MMSE and the MoCA.

METHODS

We examined the relationship between the cognitive screening tests in 803 German-speaking Memory Clinic outpatients, encompassing a wide range of neurocognitive disorders. We produced a conversion table using the equipercentile equating method with log-linear smoothing. In addition, we conducted a systematic review of existing MMSE-MoCA conversions to create a table allowing for the conversion of MoCA scores into MMSE scores and vice versa using the weighted mean method.

RESULTS

The Memory Clinic sample showed that the prediction of MMSE to MoCA was overall less accurate compared to the conversion from MoCA to MMSE. The 19 studies included after thorough literature search showed that MoCA scores were consistently lower than MMSE scores. Eleven of 19 conversion studies had addressed the conversion of the MoCA to the MMSE, while two studies converted MMSE to MoCA scores. Another six studies applied bi-directional conversions. We provide an easy-to-use table covering the entire range of scores and taking into account all currently existing conversion formulas.

CONCLUSION

The comprehensive MMSE-MoCA conversion table enables a direct comparison of cognitive test scores at screening examinations and over the course of disease in patients with neurocognitive disorders.

Conversion Between the Mini-Mental State Examination and the Montreal Cognitive Assessment for Patients With Different Forms of Dementia

OBJECTIVES

The Mini-Mental Status Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are 2 frequently used brief cognitive screening tasks. Here, we provide a conversion method from MMSE to MoCA for patients with Alzheimer's dementia, frontotemporal dementia, and Parkinson dementia/Lewy body dementia, as well as for patients with dementia and with or without previous stroke. This conversion is needed as everyday clinical practice varies in their use of the 2 scales, which makes comparisons between studies, meta-analysis, and patient cohorts difficult.

DESIGN

Observational cohort study.

SETTING AND PARTICIPANTS

A total of 387 patients with recently diagnosed dementia in memory clinics from the Swedish registry for cognitive/dementia disorders (SveDem) from 2007 to 2018.

METHODS

Overall, 387 patients of the Swedish registry for cognitive/dementia disorders with both MMSE and MoCA scores were evaluated. An equipercentile equating method was used to convert MMSE to MoCA scores in the different patient populations. Furthermore, receiver operating curves were used to examine whether MMSE or MoCA scores can distinguish between patients with different dementia types.

RESULTS

MMSE scores were converted to MoCA scores for all dementia types and depicted in a conversion table. Results show that the equipercentile equating method and log-linear smoothing allow the creation of a conversion table in which for each test score of the MMSE, the equivalent score of the MoCA for each investigated group can be looked up (and vice-versa).

CONCLUSIONS AND IMPLICATIONS

This study reports a reliable and easy conversion for transforming MMSE to MoCA scores (and vice-versa) in patients with Alzheimer's dementia, frontotemporal dementia, Parkinson dementia or Lewy body dementia, as well as patients with dementia with and without previous stroke.