Multiple category verbal fluency in mild cognitive impairment and correlation with CSF biomarkers for Alzheimer's disease

Mirandez, Roberta M; Aprahamian, Ivan; Talib, Leda Leme; Forlenza, Orestes Vicente; Radanovic, Márcia

doi:10.1017/s1041610217000102

Cited by 33 publications

(23 citation statements)

References 28 publications

(41 reference statements)

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“…Their findings underpin the observation that category fluency deficits (together with episodic memory deficits) are the only consistent early deficits in individuals with MCI who progress to AD . A recent study shows that cerebrospinal fluid biomarkers (specifically T‐tau) were negatively correlated with animal fluency but were not significantly correlated with measures of phonemic fluency …”

Section: Discussionmentioning

confidence: 94%

Semantic and Phonemic Verbal Fluency Discrepancy in Mild Cognitive Impairment: Potential Predictor of Progression to Alzheimer's Disease

Vaughan

Coen

Kenny

et al. 2018

J American Geriatrics Society

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Mean discrepancy score for those who progressed to AD (2.7) was significantly lower than for those who retained a MCI diagnosis (4.8) and normal controls (7.7) (p<.001). Logistic regression revealed that, for each unit decrease in discrepancy score at baseline, the odds of progressing to AD were 9% greater. (Exp(B) = 1.09, p=.02) CONCLUSION: Individuals with MCI have less of a semantic advantage than those without MCI. Those with MCI presenting with a phonemic advantage at initial assessment warrant close follow-up and a high index of suspicion for progression to AD.

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Section: Discussionmentioning

confidence: 94%

Semantic and Phonemic Verbal Fluency Discrepancy in Mild Cognitive Impairment: Potential Predictor of Progression to Alzheimer's Disease

Vaughan

Coen

Kenny

et al. 2018

J American Geriatrics Society

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“…Previous studies have proven that there are significant differences in the results of verbal fluency test, especially semantic fluency, between normal elderly and elderly with MCI. Elderly with MCI showed lower verbal fluency test results [30][31][32]. Verbal fluency is a cognitive function that allows retrieval of information from memory stored in the brain by involving executive functions and language skills.…”

Section: Discussion/conclusionmentioning

confidence: 99%

Decision Tree Clinical Algorithm for Screening of Mild Cognitive Impairment in the Elderly in Primary Health Care: Development, Test of Accuracy, and Time-Effectiveness Analysis

Pandhita

Sutrisna²,

Wibowo

et al. 2020

Neuroepidemiology

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Mild cognitive impairment (MCI) is predicted to be a common cognitive impairment in primary health care. Early detection and appropriate management of MCI can slow the rate of deterioration in cognitive deficits. The current methods for early detection of MCI have not been satisfactory for some doctors in primary health care. Therefore, an easy, fast, accurate and reliable method for screening of MCI in primary health care is needed. This study intends to develop a decision tree clinical algorithm based on a combination of simple neurological physical examination and brief cognitive assessment for distinguishing elderly with MCI from normal elderly in pri-mary health care. This is a diagnostic study, comparative analysis in elderly with normal cognition and those presenting with MCI. We enrolled 212 elderly people aged 60.04-79.92 years old. Multivariate statistical analysis showed that the existence of subjective memory complaints, history of lack of physical exercise, abnormal verbal semantic fluency, and poor one-leg balance were found to be predictors of MCI diagnosis (p ≤ 0.001; p = 0.036; p ≤ 0.001; p = 0.013). The decision trees clinical algorithm, which is a combination of these variables, has a fairly good accuracy in distinguishing elderly with MCI from normal elderly (accuracy = 89.62%; sensitivity = 71.05%; specificity = 100%; positive predictive value = 100%; negative predictive value = 86.08%; negative likelihood ratio = 0.29; and time effectiveness ratio = 3.03). These results suggest that the decision tree clinical algorithm can be used for screening of MCI in the elderly in primary health care.

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“…The cutoff score for differentiating those with vascular disease from normal participants was ≤ 3. Mirandez [19] found that the cutoff score for the animal category test of VF was 14, and the AUC = 0.794. In comparison, Brucki et al [20] found that the cutoff points were 9 for people with less than 8 years of education and had a mean of 13 for those with higher educational levels.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic performance and cutoff value for the clock drawing test, semantic verbal fluency, and the short Boston Naming Test in community-dwelling educated older adults with neurocognitive disorders

ELbedewy

Elokl

2020

Middle East Curr Psychiatry

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Background: Little is known regarding the standardized neuropsychological tests available in Arabic. The aim is to determine the diagnostic performance and the best cutoff value for the clock drawing test (CDT), animal category test of semantic verbal fluency (VF), and the short form of the Boston Naming Test (BNT) in identifying patients with mild and major neurocognitive disorders among community-dwelling educated Egyptian older adults using Arabic versions of those tests. Community-dwelling educated male and female older adults aged 60 years or older. Successive patients were attending the outpatient geriatrics clinic at the Ain Shams University Hospital during a 12month study period from January to December 2016. The study was approved by the ethics committee of the Faculty of Medicine, Ain Shams University, Cairo, Egypt. Informed consent to participate in the study was received from each participant and/or his/her next of kin. Patients and/or their next of kin who declined to participate were excluded, as were those who refused to complete the assessment. A two-step protocol was followed.Step 1: Participants were divided into three groups according to DSM-V diagnostic criteria for neurocognitive disorders. The assessment of cognitive function included Mini-Mental State Examination (MMSE), Clinical Dementia Rating Scale (CDR), patient's current functional status regarding basic and instrumental activities of daily living by the Blessed Dementia Scale (BDS), and patient detailed history and examination based on protocol five of the CERAD assessment packet.Step 2: The application of the Arabic versions of ELokl et al. 2001 VF test, the BNT, and the CD by a clinical psychologist blinded to the initial assessment results. Results: In current study, AUC for CD, VF, and BN are 0.807, 0.77, and 0.753 respectively for mild NCD and 0.884, 0.877, and 0.839 respectively for major NCD while cutoff values for CD, VF, and BN are 2, 12, and 14 respectively for mild NCD and 2, 9, and 13 respectively for major NCD. Conclusion: Verbal fluency, clock drawing, and Boston naming showed reasonable diagnostic performance in educated Egyptian elderly and should be considered separately or in combination for the assessment of cognitive function. Further research is warranted.

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Multiple category verbal fluency in mild cognitive impairment and correlation with CSF biomarkers for Alzheimer's disease

Abstract: Animal fluency alone and combined to FAS-COWA was slightly superior in discriminating controls from MCI (p < 0.001), and correlated to T-tau levels.

Cited by 33 publications

References 28 publications

Semantic and Phonemic Verbal Fluency Discrepancy in Mild Cognitive Impairment: Potential Predictor of Progression to Alzheimer's Disease

Semantic and Phonemic Verbal Fluency Discrepancy in Mild Cognitive Impairment: Potential Predictor of Progression to Alzheimer's Disease

Decision Tree Clinical Algorithm for Screening of Mild Cognitive Impairment in the Elderly in Primary Health Care: Development, Test of Accuracy, and Time-Effectiveness Analysis

Diagnostic performance and cutoff value for the clock drawing test, semantic verbal fluency, and the short Boston Naming Test in community-dwelling educated older adults with neurocognitive disorders

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