Literature DB >> 34668124

Screening for cognitive sequelae of SARS-CoV-2 infection: a comparison between the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA).

Edoardo Nicolò Aiello1, Elena Fiabane2, Marina Rita Manera3, Alice Radici4, Federica Grossi3, Marcella Ottonello2, Debora Pain4, Caterina Pistarini5.   

Abstract

BACKGROUND: Due to SARS-CoV-2-related encephalopathic features, COVID-19 patients may show cognitive sequelae that negatively affect functional outcomes. However, although cognitive screening has been recommended in recovered individuals, little is known about which instruments are suitable to this scope by also accounting for clinical status. This study thus aimed at comparatively assessing the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) in detecting cognitive deficits in post-COVID-19 patients premorbidly/contextually being or not at risk for cognitive deficits (RCD + ; RCD-).
METHODS: Data from N = 100 COVID-19-recovered individuals having been administered both the MMSE and the MoCA were retrospectively analyzed separately for each group. RCD ± classification was performed by taking into consideration both previous and disease-related conditions. Equivalent scores (ESs) were adopted to examine classification performances of the two screeners.
RESULTS: The two groups were comparable as for most background and cognitive measures. MMSE or MoCA adjusted scores were mostly unrelated to disease-related features. The two screeners yielded similar estimates of below-cut-off performances-RCD + : MMSE: 20%, MoCA: 23.6%; RCD-: MMSE: 2.2%, MoCA: 4.4%. However, agreement rates dropped when also addressing borderline, "low-end" normal, and normal ability categories-with the MoCA attributing lower levels than the MMSE (RCD + : Cohen's k = .47; RCD-: Cohen's k = .17). DISCUSSION: Although both the MMSE and the MoCA proved to be equally able to detect severe cognitive sequelae of SARS-CoV-2 infection in both RCD + and RCD- patients, the MoCA appeared to be able to reveal sub-clinical defects and more sharply discriminate between different levels of ability.
© 2021. Fondazione Società Italiana di Neurologia.

Entities:  

Keywords:  COVID-19; Cognitive screening; Mini-Mental State Examination; Montreal Cognitive Assessment; Psychometrics; SARS-CoV-2

Mesh:

Year:  2021        PMID: 34668124      PMCID: PMC8526352          DOI: 10.1007/s10072-021-05630-3

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


Introduction

Due to both primary and secondary encephalopathic features of SARS-CoV-2 infection [1], COVID-19 patients may show both short- and long-term cognitive sequelae within the dysexecutive and amnesic spectrum [2]—which have been postulated as negatively affecting prognosis and functional outcomes [3].Consistently, first-level cognitive assessment has been recommended in COVID-19-recovered individuals [3]. However, little consensus has been reached as for which psychometric instruments should be adopted to this scope. Among screening tools, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) have proved effective in detecting global cognition deficits following COVID-19 [2]—despite the former and the latter seemingly being more sensitive to severe and mild-to-moderate dysfunctions, respectively [4]. In this respect, the choice of suitable screeners is further challenged by the complex interplay between disease-related outcomes—i.e., encephalopathic complications of COVID-19 and iatrogenic effects of COVID-19 treatments on the brain—and premorbid neurological/medical-general risk factors for cognitive impairment [4]. This study thus aimed at comparing the performance of the MMSE and the MoCA in the screening for cognitive sequelae in post-infectious SARS-CoV-2 patients being or not at risk for cognitive deficits (RCD+; RCD-) due to either previous or disease-related conditions.

Methods

Materials

Data from N=100 COVID-19-recovered individuals referred to Istituti Clinici Scientifici Maugeri located in Northern Italy between May 2020 and 2021 who had been administered both the MMSE and the MoCA were retrospectively collected (see Table 1).
Table 1

Participants’ background, clinical, and psychometric measures

DomainOutcomeRCD + RCD-p
Background
N5545-
Age (years)66.13 ± 13.84 (18–85)63.33 ± 11.4 (28–85).105
Sex (male/female)34/2139/6.005*
Education (years)11.2 ± 3.63 (2–19)11.02 ± 3.89 (3–18).664
Clinical
Disease duration (days)40.6 ± 26.72 (2–113)42.31 ± 26.26 (5–129).649
Time from onset (days)74.13 ± 41.02 (7–241)76.43 ± 35.33 (26–186).522
Severity.008*
Asymptomatic9.1%2.2%-
Mildly symptomatic18.2%6.7%-
Mild-to-moderate25.5%11.1%-
Moderate-to-severe47.3%80%-
ICU45.5%71.1%.015*
Steroids12.7%20%.186
Infection32.7%35.6%.433
Psychometric
MMSE27 ± 3.36 (15–30)28.22 ± 1.94 (22–30).115
MoCA21.71 ± 4.97 (8–30)23.51 ± 3.09 (18–30).186

RCD + patients at risk for cognitive deficits, RCD- patients not at risk for cognitive deficits, MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, ICU intensive care unit

†p-values refer to either χ2 (categorical measures) or Mann–Whitney U (continuous measures)

*Significant at α = .05

Participants’ background, clinical, and psychometric measures RCD + patients at risk for cognitive deficits, RCD- patients not at risk for cognitive deficits, MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, ICU intensive care unit †p-values refer to either χ2 (categorical measures) or Mann–Whitney U (continuous measures) *Significant at α = .05 COVID-19 severity was classified as “asymptomatic,” “mildly symptomatic,” “mild-to-moderate” (requiring O2 but not ventilation), and “moderate-to-severe” (requiring either non-invasive ventilation or ICU). RCD+ group included patients with (a) previous neurological or psychiatric disorders, (b) a history of severe internal conditions or ≥3 internal/metabolic risk factors for cognitive dysfunction, and (c) COVID-19-related neuropsychiatric manifestations. By contrast, RCD- patients did not present with the abovementioned risk factors. This classification was performed, on the basis of medical records, by two independent authors blinded to patients’ cognitive outcome; disagreements were solve throughout discussion with an independent judge.

Statistics

Associations/predictions were tested via non-parametric approaches due to normality not being met (as assessed through skewness and kurtosis values). Inferential analyses were run separately for RCD+ and RCD+ groups; a Bonferroni-adjusted α=.025 was thus adopted. MMSE and MoCA scores were adjusted for age and education and converted to equivalent scores (ESs) [5] based on current norms [6, 7]. The ES scale allows drawing clinical classifications from performances as follows: ES=0 → impaired; ES=1 → borderline; ES=2 → “low-end” normal; ES=3 → normal; and ES=4 → “high-end” normal. As being standardized, the ES scale allows comparisons between different tests having different original metrics. Inter-rater agreement between MMSE and MoCA clinical classifications was tested through weighted Cohen’s k [8]. Analyses were performed via SPSS 27 (IBM Corp., 2020).

Results

RCD+ and RCD- patients were balanced as for the majority of demographic and clinical measures—except for sex, severity and ICU admission—as well as for cognitive scores (see Table 1). When assessed separately for each group, no disease-related variables affected either MMSE or MoCA adjusted scores (severity: 2.73≤H(3)≤4.14; p≤.302; steroids: 41≤U≤51; p≤.09; duration in days: .26 ≤r≤.07; p≤.059; days from onset to assessment: .24 ≤r≤.06; p≤.058) except for infections in RCD+ patients (MMSE: U=166.5, p=.003; MoCA: U=180, p=.006)—with those who showed them reporting lower scores (MMSE: M=25.59, SD=2.97 vs. M=27.83, SD=2.88; MoCA: M=19.86, SD=3.57 vs. M=22.79, SD=4.14). Within both groups, the two tests provided similar prevalences of defective performances (ES=0)—RCD+: MMSE: 20%, MoCA: 23.6%; RCD-: MMSE: 2.2%, MoCA: 4.4%. Agreement rates for such dichotomous classification were indeed found to be substantial for RCD- patients (Cohen’s k=.66) and moderate for RCD+ (Cohen’s k=.57). However, when addressing the full range of ESs (0–4), agreement rates dropped by also showing an inverse pattern (see Table 2), as being poor for RCD- (Cohen’s k=.17) and moderate for RCD+ (Cohen’s k=.47). Indeed, the MMSE tended to classify less conservatively those performances that were addressed by the MoCA as either defective, borderline, or “low-end” normal—this especially occurring for RCD+ patients. Several misclassification were detected also for ESs of 3 and 4 (normal and “high-end” normal)—the MoCA being more conservative than the MMSE.
Table 2

Equivalent score (ES) classifications by the MMSE and the MoCA

MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, RCD- patients not at risk for cognitive deficits, RCD + patients at risk for cognitive deficits. ESs are to be interpreted as follows: ES = 0 → impaired; ES = 1 → borderline; ES = 2 → “low-end” normal; ES = 3 → normal; ES = 4 → “high-end” normal. Diagonal cells show agreements; extra-diagonal cells show disagreements

Equivalent score (ES) classifications by the MMSE and the MoCA MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, RCD- patients not at risk for cognitive deficits, RCD + patients at risk for cognitive deficits. ESs are to be interpreted as follows: ES = 0 → impaired; ES = 1 → borderline; ES = 2 → “low-end” normal; ES = 3 → normal; ES = 4 → “high-end” normal. Diagonal cells show agreements; extra-diagonal cells show disagreements

Discussion

The present study provides practitioners with useful information on the capability of the MMSE and the MoCA to detect sequelae deficits in COVID-19-recovered individuals who were or not at risk for cognitive deficits (RCD+ vs. RCD-) due to either premorbid or disease-related conditions. Overall, both screeners proved to be equally able to detect severe cognitive sequelae of SARS-CoV-2 infection in both RCD+ and RCD- patient. This finding is consistent with the supposed amnesic/dysexecutive profile of COVID-19 patients—as the MMSE and the MoCA being reckoned, albeit to a different extent, as memory—and executive-loaded screeners [6, 7]. However, the MoCA proved to be slightly more sensitive than the MMSE in detecting sub-clinical cognitive changes, as well as abler than the MMSE in differentiating between diverse levels of cognitive efficiency [4]. These findings are in line with previous ones on the MoCA—which were also paralleled by neurofunctional evidence [4, 9]. Such differential performances of the two screeners appear to be also supported by the fact that, when considering different ability levels, their agreement was higher for patients whose putative cognitive impairment could be more easily detected (RCD+). Results herewith reported should be borne in mind by practitioners since even mild/sub-clinical cognitive deficits have been shown to negatively affect functional outcomes of recovered COVID-19 individuals [10]. With regard to the interplay between premorbid status and cognitive after-effects of COVID-19 as assessed by the MMSE and the MoCA, the present work suggests that (1) non-COVID-19 comorbid infections might determine a decrease in cognitive efficiency that can be revealed by I-level tests in RCD+ patients; (2) the performance on such tests may not be associated with other disease-related variables; and (3) both screeners provide higher estimates of cognitive impairment in RCD+ patients.
  8 in total

Review 1.  Cognitive Assessment in SARS-CoV-2 Patients: A Systematic Review.

Authors:  Bruno Biagianti; Asia Di Liberto; Aiello Nicolò Edoardo; Ilaria Lisi; Letizia Nobilia; Giulia Delor de Ferrabonc; Elisa R Zanier; Nino Stocchetti; Paolo Brambilla
Journal:  Front Aging Neurosci       Date:  2022-07-01       Impact factor: 5.702

Review 2.  The Impact of COVID-19 Infection on Cognitive Function and the Implication for Rehabilitation: A Systematic Review and Meta-Analysis.

Authors:  Sarah Houben; Bruno Bonnechère
Journal:  Int J Environ Res Public Health       Date:  2022-06-24       Impact factor: 4.614

3.  Mild Cognitive Disorder in Post-COVID-19 Syndrome: A Retrospective Cohort Study of 67,000 Primary Care Post-COVID Patients.

Authors:  Jens Bohlken; Kerstin Weber; Steffi Riedel Heller; Bernhard Michalowsky; Karel Kostev
Journal:  J Alzheimers Dis Rep       Date:  2022-06-09

4.  Prevalence of acute neurological complications and pathological neuroimaging findings in critically ill COVID-19 patients with and without VV-ECMO treatment.

Authors:  Angelo Ippolito; Hans Urban; Kimia Ghoroghi; Nicolas Rosbach; Neelam Lingwal; Elisabeth H Adam; Benjamin Friedrichson; Andrea U Steinbicker; Elke Hattingen; Katharina J Wenger
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

5.  Cognitive phenotyping of post-infectious SARS-CoV-2 patients.

Authors:  Edoardo Nicolò Aiello; Alice Radici; Gabriele Mora; Debora Pain
Journal:  Neurol Sci       Date:  2022-05-23       Impact factor: 3.830

Review 6.  Neuropsychological Outcomes in Adult Patients and Survivors of COVID-19.

Authors:  Pamela E May
Journal:  Pathogens       Date:  2022-04-14

7.  Regression-Based Normative Data for the Montreal Cognitive Assessment (MoCA) and Its Memory Index Score (MoCA-MIS) for Individuals Aged 18-91.

Authors:  Roy P C Kessels; Nathalie R de Vent; Carolien J W H Bruijnen; Michelle G Jansen; Jos F M de Jonghe; Boukje A G Dijkstra; Joukje M Oosterman
Journal:  J Clin Med       Date:  2022-07-13       Impact factor: 4.964

8.  Therapeutic Approaches to the Neurologic Manifestations of COVID-19.

Authors:  Edith L Graham; Igor J Koralnik; Eric M Liotta
Journal:  Neurotherapeutics       Date:  2022-07-21       Impact factor: 6.088

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.