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Clinical Manifestations.

Maurice Smith1, Daniel Z Press2,3,4

  • 1Harvard University School of Enginering and Applied Sciences, Cambridge, MA, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

A new 4-5 minute cognitive test, the Brief Optimized Cognitive Composite (BOCC), significantly outperforms the MoCA in detecting Mild Cognitive Impairment (MCI) and predicting dementia progression.

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Area of Science:

  • Neurology
  • Gerontology
  • Cognitive Science

Background:

  • Mild Cognitive Impairment (MCI) affects over 12 million US individuals, with a high risk of progressing to dementia.
  • Current screening methods for MCI are challenging, leading to underdiagnosis in 90% of cases.
  • The development of disease-modifying therapies necessitates improved tools for early and accurate MCI detection.

Purpose of the Study:

  • To develop a novel, data-driven tool for rapid and accurate cognitive assessment.
  • To identify and optimize a brief cognitive test for detecting Mild Cognitive Impairment (MCI).
  • To compare the efficacy of the new tool against existing cognitive assessments and clinical diagnoses.

Main Methods:

  • Analysis of over 10,000 individuals' data from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set version 3 (UDSv3).
  • Data-driven selection and weighting of information-efficient test items.
  • Assessment of diagnostic accuracy using receiver operating characteristic (ROC) area under the curve (AUC) values.

Main Results:

  • A 4-item Brief Optimized Cognitive Composite (BOCC) test was developed, with a 4-5 minute administration time.
  • The BOCC demonstrated significantly higher AUC values than the MoCA in detecting MCI (0.87 vs 0.80) and mild dementia (0.99 vs 0.95).
  • The BOCC score showed superior predictive power for 6-year dementia conversion compared to clinical diagnoses (AUCs: 0.95 vs 0.88).

Conclusions:

  • A brief, 4-5 minute cognitive test (BOCC) can significantly outperform the MoCA in detecting MCI.
  • The BOCC accurately predicts future dementia decline, comparable to or exceeding clinical diagnoses.
  • This tool has the potential to improve MCI detection rates in the large elderly population.