Cited by 28Treatment of Major DepressionAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesDementia and Cognitive Impairment Research

Dealing with heterogeneity of cognitive dysfunction in acute depression: A clustering approach

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Vicent-Gil, Muriel, Portella, Maria J., Serra-Blasco, Maria, Navarra-Ventura, Guillem, Crivillés, Sara, Aguilar, Eva, Palao, Diego, Cardoner, Narcís·2021·Psychological Medicine

Abstract

Abstract Background Heterogeneity in cognitive functioning among major depressive disorder (MDD) patients could have been the reason for the small-to-moderate differences reported so far when it is compared to other psychiatric conditions or to healthy controls. Additionally, most of these studies did not take into account clinical and sociodemographic characteristics that could have played a relevant role in cognitive variability. This study aims to identify empirical clusters based on cognitive, clinical and sociodemographic variables in a sample of acute MDD patients. Methods In a sample of 174 patients with an acute depressive episode, a two-step clustering analysis was applied considering potentially relevant cognitive, clinical and sociodemographic variables as indicators for grouping. Results Treatment resistance was the most important factor for clustering, closely followed by cognitive performance. Three empirical subgroups were obtained: cluster 1 was characterized by a sample of non-resistant patients with preserved cognitive functioning (n = 68, 39%); cluster 2 was formed by treatment-resistant patients with selective cognitive deficits (n = 66, 38%) and cluster 3 consisted of resistant (n = 23, 58%) and non-resistant (n = 17, 42%) acute patients with significant deficits in all neurocognitive domains (n = 40, 23%). Conclusions The findings provide evidence upon the existence of cognitive heterogeneity across patients in an acute depressive episode. Therefore, assessing cognition becomes an evident necessity for all patients diagnosed with MDD, and although treatment resistant is associated with greater cognitive dysfunction, non-resistant patients can also show significant cognitive deficits. By targeting not only mood but also cognition, patients are more likely to achieve full recovery and prevent new relapses.

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  1. Norusis, M. (2011). IBM SPSS statistics 19 procedures companion. Reading, MA: Addison.
  2. Wechsler, D. (2008). Weschler adult intelligence scale (WAIS-IV) (4th ed.). San Antonio, Texas: Pearson.

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Authors
Vicent-Gil, M., Portella, M. J., Serra-Blasco, M., Navarra-Ventura, G., Crivillés, S., Aguilar, E., Palao, D., & Cardoner, N.
Affiliations
Universitat Autònoma de Barcelona (ES)
Corresponding author
Serra-Blasco, Maria
Venue
Psychological Medicine
Published
2020-06-01
Volume
51
Issue
16
Pages
2886-2894
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W3029279116
Cited by
28
References
51
Citations by year
2026: 8 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 6 · 2021: 2
FWCI
1.95
Type
journal article
Language
en
Open access
Locations
  • Psychological Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
Funders
  • Pfizer
  • Ministerio de Ciencia e Innovación (CP16/00020)
  • Universitat Autònoma de Barcelona
  • Servier (2016-2020)
  • H. Lundbeck A/S
  • Cilag
Topics
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
major depressive disorder, acute depression, cognitive impairment, cognitive heterogeneity, treatment resistance, neurocognitive impairment, patient subgroups, sociodemographic factors, cognitive assessment
MeSH terms
Cognition, Cognition Disorders, Depression, Depressive Disorder, Major, Major Depressive Disorder, Humans, Neuropsychological Tests, Cluster Analysis, Cognitive Dysfunction

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