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Clinical Manifestations.

Julia Cardoso Costa1,2, João Vitor da Silva Viana1,2, Leonardo Ryuiti Kimoto1,2

  • 1Cog-Aging Research Group, Belo Horizonte, Minas Gerais, Brazil.

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Summary

The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-SV) screening tool showed specific items correlating with episodic memory tests. Items 1, 6, and 14 of the IQCODE-SV demonstrated significant, though weak, inverse correlations with Rey Auditory Verbal Learning Test (RAVLT) scores.

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Area of Science:

  • Geriatric Medicine
  • Neuropsychology
  • Cognitive Science

Background:

  • The Informant Questionnaire on Cognitive Decline in the Elderly Short Version (IQCODE-SV) is a common dementia screening tool.
  • The Rey Auditory Verbal Learning Test (RAVLT) is the gold standard for assessing episodic verbal memory, crucial for Alzheimer's Disease Dementia (ADD) diagnosis.

Purpose of the Study:

  • To correlate specific items from the IQCODE-SV with subscores of the RAVLT, including A6, A7, Recognition, and total score.
  • To identify potential shorter versions of the IQCODE-SV for assessing cognitive decline.

Main Methods:

  • A cross-sectional study utilizing data from the Cog-Aging cohort (2023-2024).
  • Participants underwent IQCODE-SV-BR and RAVLT evaluations.
  • Spearman's correlation test analyzed the relationship between IQCODE-SV-BR scores and RAVLT standardized z-scores (p<0.05).

Main Results:

  • Eighty-seven participants (70.1% women, mean age 78.08 years) were included.
  • IQCODE-SV-BR items 1, 6, and 14 showed significant correlations with all RAVLT scores.
  • Item 14 exhibited a moderate inverse correlation with the RAVLT A7 score; other correlations were weak but significant.

Conclusions:

  • IQCODE-SV-BR items 1, 6, and 14 significantly, yet weakly, correlate with RAVLT scores, indicating their relevance to episodic memory.
  • These findings suggest potential for a more concise IQCODE-SV version for identifying mild cognitive impairment or ADD.
  • Further research with larger cohorts is recommended to validate these findings.