Diagnostic accuracy of the Montreal Cognitive Assessment in screening for cognitive impairment in initially hospitalized COVID-19 patients: Findings from the prospective multicenter NeNeSCo study.

Simona Klinkhammer, Esmée Verwijk, Gert Geurtsen, Annelien A Duits, Georgios Matopoulos, Johanna M A Visser-Meily, Janneke Horn, Arjen J C Slooter, Caroline M van Heugten, NeNeSCo study group
Author Information
  1. Simona Klinkhammer: School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands. ORCID
  2. Esmée Verwijk: Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands.
  3. Gert Geurtsen: Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands.
  4. Annelien A Duits: School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands.
  5. Georgios Matopoulos: School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands.
  6. Johanna M A Visser-Meily: Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht, Netherlands.
  7. Janneke Horn: Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands.
  8. Arjen J C Slooter: UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands.
  9. Caroline M van Heugten: School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands.

Abstract

OBJECTIVE: This study aimed to investigate the prevalence and nature of Cognitive impairment among severely ill COVID-19 patients and the effectiveness of the Montreal Cognitive Assessment (MoCA) in detecting it.
METHOD: We evaluated cognition in COVID-19 patients hospitalized during the first wave (March to June 2020) from six Dutch hospitals, nine months post-discharge, using a comprehensive multi-domain neuropsychological test battery. Test performance was corrected for sex, age, and education differences and transformed into -scores. Scores within each cognitive domain were averaged and categorized as average and above (-score ≥ -0.84), low average (-score -1.28 to 0.84), below average (-score -1.65 to -1.28), and exceptionally low (-score < -1.65). patients were classified with Cognitive impairment if at least one domain's -score fell below -1.65. We assessed the MoCA's accuracy using both the original cutoff (<26) and an "optimal" cutoff determined by Youden's index.
RESULTS: Cognitive impairment was found in 12.1% (24/199) of patients, with verbal memory and mental speed most affected (6.5% and 7% below -1.65, respectively). The MoCA had an area under the curve of 0.84. The original cutoff showed sensitivity of 83% and specificity of 66%. Using the identified optimal cutoff of <24, maintained sensitivity while improving specificity to 81%.
CONCLUSIONS: Cognitive impairment prevalence in initially hospitalized COVID-19 patients is lower than initially expected. Verbal memory and processing speed are primarily affected. The MoCA is a valuable screening tool for these impairments and lowering the MoCA cutoff to <24 improves specificity.

Keywords

Word Cloud

Created with Highcharts 10.0.0-1cognitiveimpairmentCognitive-scorecutoffCOVID-19patientsMoCA65MontrealAssessmenthospitalizedaverage84specificityinitiallyscreeningstudyprevalencecognitionusinglow280accuracyoriginalmemoryspeedaffectedsensitivity<24OBJECTIVE:aimedinvestigatenatureamongseverelyilleffectivenessdetectingitMETHOD:evaluatedfirstwaveMarchJune2020sixDutchhospitalsninemonthspost-dischargecomprehensivemulti-domainneuropsychologicaltestbatteryTestperformancecorrectedsexageeducationdifferencestransformed-scoresScoreswithindomainaveragedcategorized-0exceptionally<Patientsclassifiedleastonedomain'sfellassessedMoCA's<26"optimal"determinedYouden'sindexRESULTS:found121%24/199verbalmental65%7%respectivelyareacurveshowed83%66%Usingidentifiedoptimalmaintainedimproving81%CONCLUSIONS:lowerexpectedVerbalprocessingprimarilyvaluabletoolimpairmentsloweringimprovesDiagnosticpatients:FindingsprospectivemulticenterNeNeSCoPost-COVID-19inflammatoryvalidation

Similar Articles

Cited By

No available data.