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Related Concept Videos

Traumatic Brain Injury l: Introduction01:28

Traumatic Brain Injury l: Introduction

DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...

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Assocation Between a Brain Care Score Derived from Participant Responses and Incident Stroke from the COSMOS Study.

Jasper R Senff1,2,3,4,5, Reinier W P Tack1,2,3,4,5, Benjamin Y Q Tan1,2,3,4,6

  • 1Brain Care Labs at Massachusetts General Brigham, Boston, MA, USA (JRS, RWPT, BYQT, TNK, SP, DC, THR, TMM, CDA, JR, SDS, NY).

American Journal of Lifestyle Medicine
|August 29, 2025
PubMed
Summary

The Brain Care Score (BCS), using participant recall of health factors, effectively predicts stroke risk. This accessible method shows similar predictive power to scores requiring medical measurements, enhancing brain health assessment.

Keywords:
accessibilitybrain care scorepreventionrisk factorsstroke

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Area of Science:

  • Neurology
  • Preventive Medicine
  • Epidemiology

Background:

  • The Brain Care Score (BCS) previously predicted age-related brain diseases using 12 modifiable risk factors.
  • Limited recall of blood pressure and lab measurements hinders BCS accessibility in the U.S.
  • Accessible risk assessment tools are crucial for managing brain health and preventing neurological diseases.

Purpose of the Study:

  • To evaluate the predictive validity and discriminatory power of a BCS derived solely from participant responses for incident stroke.
  • To assess the feasibility of using self-reported data for brain health risk assessment.
  • To determine if a simplified BCS can effectively identify individuals at risk for stroke.

Main Methods:

  • Retrospective analysis of prospectively collected COSMOS data.
  • Calculation of the BCS (0-19 points) using only modifiable risk factors from participant self-reports.
  • Cox proportional hazard model, adjusted for sex and age, to assess the association between BCS and incident stroke.

Main Results:

  • 187 strokes occurred among 17,150 participants (median age 70.8, 59.6% female) over a mean follow-up of 3.6 years.
  • A 5-point increase in the self-reported BCS was associated with a 36% lower risk of stroke (HR: 0.64 [95%CI: 0.48-0.84]).
  • The c-statistic for the model was 0.68, indicating moderate discriminatory ability.

Conclusions:

  • A BCS derived from participant responses demonstrates comparable predictive performance to traditional BCS using physical and laboratory measurements.
  • Self-reported data can be effectively utilized to assess stroke risk, improving accessibility.
  • The BCS derived from participant responses is a viable tool for brain health risk assessment when measurements are unavailable.