Clock-drawing test in vascular mild cognitive impairment: Validity of quantitative and qualitative analyses

The diagnostic value of cognitive assessment indicators for mild cognitive impairment (MCI)

OBJECTIVE

This study aims to evaluate and analyze the standard diagnostic methods for mild cognitive impairment (MCI).

METHODS

This study used a prospective case-control study to examine baseline data and diagnostic indicators in a population of elderly with MCI. Based on different cognitive abilities, this study divided MCI and healthy control groups. The diagnostic indicators included CDT, MOCA, MMSE, PSQI, MBI, DST, HAMD, AD-related blood markers, and olfactory testing. The diagnostic value of each indicator was done using the ROC curve.

RESULTS

This study included 240 adult participants, 135 in the health group and 105 in the MCI group. A comparison of baseline data revealed statistically significant differences between the two groups regarding age, blood glucose, MMSE, CTD, MOCA, ability to perform daily living, AD-related blood indices and olfactory tests (all p < 0.05). Logistic regression analysis statistically showed that age, MOCA, and CDT were independent diagnostic factors for MCI (all p < 0.05). Combining these three indicators has the best diagnostic specificity (92.54%). AD-related blood and olfactory tests indices had only moderate diagnostic values (AUC: 0.7-0.8).

CONCLUSION

Age, MOCA, and CDT are good indicators for diagnosing early-stage MCI. AD-related blood indices and olfactory tests can serve as valuable adjuncts in diagnosing MCI.

[Discriminant validity and inter-rater concordance of two scoring systems for the clock test]

OBJECTIVE

To compare the discriminant validity and inter-rater reliability of the two scoring systems for the Clock test that are most used in Spain.

METHODOLOGY

Two collections of clock drawings obtained in a clinical context (116 cases; 56.8% women, mean age 73.1±7.7 years) and in a cohort of volunteers (2039 drawings of 579 subjects; 59.5% women, mean age 78.3±3.8 years) have been assessed. All subjects were classified as cognitively normal (CN) or cognitively impaired (CI) after extensive clinical and neuropsychological evaluation. Expert raters have evaluated these drawings independently and without knowledge of the diagnosis using the Sunderland and Solomon systems standardized in Spanish by Cacho (range 0 to 10) and del Ser (range 0 to 7) respectively. The discriminant validity of each method was calculated in the two samples using the area under the ROC curve (aROC), and the inter-rater reliability was calculated in the clinical sample, that was assessed by the two evaluators, using the intraclass correlation coefficient (ICC) and the kappa coefficient.

RESULTS

There are no significant differences in the discriminant validity of the Sunderland and Solomon systems in any of the samples (clinical: aROC 0.73 [CI95%: 0.64-0.81] and 0.77 [CI95%: 0.69-0.85] respectively, P=.19; volunteers: aROC 0.69 [CI95%: 0.67-0.71] and 0.72 [CI95%: 0.69-0.73] respectively, P=.08). The cut-off points ≤8 and ≤5 correctly classify 71% and 73% of the clinical sample and 82% and 84% of the volunteer sample, respectively. Both systems have good agreement in the clinical sample (Sunderland: ICC 0.90 [CI95%: 0.81-0.93], kappa 0.76 [CI95%: 0.70-0.83]; Solomon: 0.92 [CI95%: 0.88-0.95] and 0.77 [CI95%: 0.71-0.83] respectively), somewhat higher in the second, although the differences are not significant.

CONCLUSIONS

The discriminant validity and inter-observer reliability of these two Clock Test correction systems are similar. Solomon's method, shorter and simpler, may be more advisable in pragmatic terms.

Limits on using the clock drawing test as a measure to evaluate patients with neurological disorders

BACKGROUND

The Clock Drawing Test (CDT) is used as a quick-to-conduct test for the diagnosis of dementia and a screening tool for cognitive impairments in neurological disorders. However, the association between the pattern of CDT impairments and the location of brain lesions has been controversial. We examined whether there is an association between the CDT scores and the location of brain lesions using the two available scoring systems.

METHOD

One hundred five patients with brain lesions identified by CT scanning were recruited for this study. The Montreal Cognitive Assessment (MoCA) battery including the CDT were administered to all partcipants. To score the CDT, we used a qualitative scoring system devised by Rouleau et al. (1992). For the quantitative scoring system, we adapted the algorithm method used by Mendes-Santos et al. (2015) based on an earlier study by Sunderland et al. (1989). For analyses, a machine learning algorithm was used.

RESULTS

Remarkably, 30% of the patients were not detected by the CDT. Quantitative and qualitative errors were categorized into different clusters. The classification algorithm did not differentiate the patients with traumatic brain injury 'TBI' from non-TBI, or the laterality of the lesion. In addition, the classification accuracy for identifying patients with specific lobe lesions was low, except for the parietal lobe with an accuracy of 63%.

CONCLUSION

The CDT is not an accurate tool for detecting focal brain lesions. While the CDT still is beneficial for use with patients suspected of having a neurodegenerative disorder, it should be cautiously used with patients with focal neurological disorders.

Chinese version of the auditory verbal learning test: normative study and clinical applications in Chinese-speaking population in Shijiazhuang city

OBJECTIVE

The purposes were to establish standardized values for the Auditory Verbal Learning Test (AVLT) in the communities of Shijiazhuang city (China), with particular focus on the influences of age, education and sex, and to detect the discriminant validity data of the AVLT in patients with acute ischemic stroke (AIS).

METHODS

406 Chinese-speaking subjects (age: 50-84 years old) from Shijiazhuang city, were brought into this study. Using linear regression analyses, standardized values were developed for three variables of interest, including scores on short-term memory (sum of AVLT trials 1-3), delayed recall (AVLT trial 4), and an index representing recognition memory corrected for false-positive identifications (AVLT trial 5). 177 patients with AIS were included to probe the discriminant validity of the AVLT.

RESULTS

The linear regression analysis showed statistically significant effect of age and sex on all trials of the AVLT. Years of education contributed significantly to trial 1-3 and trial 4 but not trial 5. Based on the results obtained, trail 1-3 and trail 4 of AVLT norms were stratified by age (3 strata), education (2 strata), and sex (2 strata). Trail 5 norms were stratified by age (3 strata) and sex (2 strata). Moreover, AIS groups performed significantly worse on most AVLT trials than matched cognitively healthy controls.

CONCLUSIONS

Normative data stratified by age, education and sex for the Chinese-speaking community-residents in Shijiazhuang was presented for use in research and clinical settings. The AVLT measures adequately differentiated between the cognitive performance (especially memory decline) of healthy adults and patients with AIS.

Cognitive Testing During Mild Acute Ischemic Stroke Predicts Long-Term Return to Work

OBJECTIVES

Many survivors of a mild ischemic stroke do not return to work or driving. Cognitive testing is commonly done to assess long-term cognitive impairment after stroke. Inpatient cognitive testing during the acute period of ischemic stroke may also be a predictor for workforce reengagement and functional outcome.

MATERIALS AND METHODS

At our comprehensive stroke center, we prospectively enrolled previously working adults < 65 years old who were diagnosed with first-ever ischemic stroke, had a prestroke modified Rankin Scale (mRS) ≤ 1 and NIHSS ≤ 3. Testing performed within 1 week of stroke included the Montreal Cognitive Assessment (MOCA), Clock Drawing Test (CDT), Trail Making Tests A and B, Backward Digit Span Test, and Hospital Anxiety and Depression Scale (HADS). Other data obtained included age, gender, years of education, occupation, stroke location, stroke laterality, and presence of white matter disease on imaging. Outcome measures assessed at 3 months, 6 months, and 12 months post-stroke included return to work, return to driving, and mRS. In a logistic regression analysis, we performed both univariate and multivariate analyses. Multivariate analysis was completed on variables with p-value ≤ 0.05 in the univariate analysis.

RESULTS

Of 39 total stroke patients enrolled and tested (median [IQR] age 55 [46-60] years; 77.5% male; 22.5% female), 36 completed 3-month follow up, of which 58% returned to work, 78% returned to driving, and 72% had mRS of 0-1. In multivariate analysis, a single point increase in the clock drawing task score increased the odds of return to work by 3.79 (95% CI, 1.10-14.14) and return to driving by 6.74 (95% CI, 1.22-37.23) at 3 months. MOCA and HADS were both associated with mRS ≤ 1. MOCA was associated with return to work at 6 months and CDT was associated with return to work at 12 months.

CONCLUSION

Cognitive testing with CDT and MOCA in the acute period after ischemic stroke may predict common patient goals post stroke, including return to work, driving, and independence. These tools can potentially be used for prognosis and identifying those who may benefit from further interventions.

Cognitive Assessment Tools Recommended in Geriatric Oncology Guidelines: A Rapid Review

Cognitive assessment is a cornerstone of geriatric care. Cognitive impairment has the potential to significantly impact multiple phases of a person's cancer care experience. Accurately identifying this vulnerability is a challenge for many cancer care clinicians, thus the use of validated cognitive assessment tools are recommended. As international cancer guidelines for older adults recommend Geriatric Assessment (GA) which includes an evaluation of cognition, clinicians need to be familiar with the overall interpretation of the commonly used cognitive assessment tools. This rapid review investigated the cognitive assessment tools that were most frequently recommended by Geriatric Oncology guidelines: Blessed Orientation-Memory-Concentration test (BOMC), Clock Drawing Test (CDT), Mini-Cog, Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Short Portable Mental Status Questionnaire (SPMSQ). A detailed appraisal of the strengths and limitations of each tool was conducted, with a focus on practical aspects of implementing cognitive assessment tools into real-world clinical settings. Finally, recommendations on choosing an assessment tool and the additional considerations beyond screening are discussed.