Dataset Information

Screening for brain fog: Is the montreal cognitive assessment an effective screening tool for neurocognitive complaints post-COVID-19?

ABSTRACT:

Background

Cognitive complaints are one of the most frequent symptoms reported in post-acute sequelae of COVID-19 (PASC). The Montreal Cognitive Assessment (MoCA) has been used to estimate prevalence of cognitive impairment in many studies of PASC, and is commonly employed as a screening test in this population, however, its validity has not been established.

Objective

To determine the utility of the MoCA to screen for cognitive impairment in PASC.

Methods

Sixty participants underwent neuropsychological, psychiatric, and medical assessments, as well as the Montreal Cognitive Assessment, 6-8 months after acute COVID-19 infection.

Results

The overall sample had a mean score of 26.1 on the MoCA, with approximately one third screening below the cutoff score of 26, similar to the rate of extremely low NP test performance. MoCA score was inversely correlated with fatigue and depression measures and ethnic minority participants scored on average lower, despite similar education and estimated premorbid function. The MoCA had an accuracy of 63.3% at detecting any degree of diminished NP performance, and an accuracy of 73.3% at detecting extremely low NP performance.

Discussion/conclusion

The MoCA may not be accurate for detecting neither mild nor more severe degrees of diminished NP test performance in PASC. Therefore, patients with persistent cognitive complaints in the setting of PASC who score in the normal range on the MoCA should be referred for formal NP assessment.

SUBMITTER: Lynch S

PROVIDER: S-EPMC9359801 | biostudies-literature | 2022 Sep-Oct

REPOSITORIES: biostudies-literature

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Publications

Screening for brain fog: Is the montreal cognitive assessment an effective screening tool for neurocognitive complaints post-COVID-19?

Lynch Sean S Ferrando Stephen J SJ Dornbush Rhea R Shahar Sivan S Smiley Abbas A Klepacz Lidia L

General hospital psychiatry 20220730

<h4>Background</h4>Cognitive complaints are one of the most frequent symptoms reported in post-acute sequelae of COVID-19 (PASC). The Montreal Cognitive Assessment (MoCA) has been used to estimate prevalence of cognitive impairment in many studies of PASC, and is commonly employed as a screening test in this population, however, its validity has not been established.<h4>Objective</h4>To determine the utility of the MoCA to screen for cognitive impairment in PASC.<h4>Methods</h4>Sixty participant ...[more]

PMID: 35930974

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Project description:ObjectivesMontreal Cognitive Assessment (MoCA) total scores have been widely used to identify individuals with neurocognitive disorders (NCDs), but the utility of its domain-specific scores have yet to be thoroughly interrogated. This study aimed to validate MoCA's 6 domain-specific scores (ie, Memory, Language, Attention, Executive, Visuospatial, and Orientation) with conventional neuropsychological tests and explore whether MoCA domain scores could discriminate between different etiologies in early NCDs.DesignBaseline data of a cohort study.Setting and participantsStudy included 14,571 participants recruited from Alzheimer's Disease Centers across United States, aged ≥50 years, with global Clinical Dementia Rating of ≤1, and mean age of 71.8 ± 8.9 years.MethodsParticipants completed MoCA, conventional neuropsychological tests, and underwent standardized assessments to diagnose various etiologies of NCDs. Partial correlation coefficient was used to examine construct validity between Z scores of neuropsychological tests and MoCA domain scores, whereas multinomial logistic regression examined utility of domain scores to differentiate between etiologies of early NCDs.ResultsMoCA domain scores correlated stronger with equivalent constructs (r = 0.15-0.43, P < .001), and showed divergence from dissimilar constructs on neuropsychological tests. Participants with Alzheimer's disease were associated with greater impairment in Memory, Attention, Visuospatial, and Orientation domains (RRR = 1.13-1.55, P < .001). Participants with Lewy body disease were impaired in Attention and Visuospatial domains (RRR = 1.21-1.47, P < .001); participants with frontotemporal lobar degeneration were impaired in Language, Executive, and Orientation domains (RRR = 1.25-1.75, P < .01); and participants with Vascular disease were impaired in Attention domain (RRR = 1.14, P < .001).Conclusions and implicationsMoCA domain scores approximate well-established neuropsychological tests and can be valuable in discriminating different etiologies of early NCDs. Although MoCA domain scores may not fully substitute neuropsychological tests, especially in the context of diagnostic uncertainties, they can complement MoCA total scores as part of systematic evaluation of early NCDs and conserve the use of neuropsychological tests to patients who are more likely to require further assessments.

Project description:Given advantages in reperfusion therapy leading to mild stroke, less apparent cognitive deficits can be overseen in a routine neurological examination. Despite the widespread use of the Montreal Cognitive Assessment (MoCA), age- and education-specific cutoffs for the detection of post-stroke cognitive impairment (PSCI) are not established, hampering its valid application in stroke. We aimed to establish age- and education-specific MoCA cutoffs to better discriminate patients with and without acute PSCI. Patients with acute ischemic stroke underwent the MoCA and a detailed neuropsychological assessment. PSCI was defined as a performance < - 1.5 SD in ≥ 2 cognitive domains. As secondary data analysis, the discriminant abilities of the MoCAraw-score (not adding + 1 as correction for ≤ 12 years of education, YoE) cutoffs were automatically derived based on Youden Index and evaluated by receiver operating characteristic analyses across age- (< 55, 55-70, > 70 years old) and education-specific (≤ 12 and > 12 YoE) groups. 351 stroke patients (67.4 ± 14.1 years old; 13.1 ± 2.8 YoE) underwent the neuropsychological assessment 2.7 ± 2.0 days post-stroke. The original MoCA cutoff < 26 falsely classified 26.2% of examined patients, with poor sensitivity in younger adults (34.8% in patients < 55 years > 12 YoE) and poor specificity in older adults (55.0%, in > 70 years ≤ 12 YoE). By maximizing both sensitivity and specificity, the optimal MoCAraw cutoffs were: (i) < 28 in patients aged < 55 with > 12 YoE (sensitivity = 69.6%, specificity = 77.8%); (ii) < 22 and < 25 in patients > 70 years with ≤ 12 and > 12 YoE (sensitivity = 61.6%, specificity = 90.0%; sensitivity = 63.3%, specificity = 84.0%, respectively). In other groups the optimal MoCAraw cutoff was < 26. Age and education level should be considered when interpreting MoCA-scores. Though new age- and education-specific cutoffs demonstrated higher discriminant ability for PSCI, their performance in young stroke and adults with higher education level was low due to ceiling effects and MoCA subtests structure, and cautious interpretation in these patients is warranted.Trial registration: ClinicalTrials.gov Identifier: NCT05653141.

Dataset Information

Screening for brain fog: Is the montreal cognitive assessment an effective screening tool for neurocognitive complaints post-COVID-19?

Background

Objective

Methods

Results

Discussion/conclusion

Publications

Screening for brain fog: Is the montreal cognitive assessment an effective screening tool for neurocognitive complaints post-COVID-19?

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