ANTECEDENTS AND OUTCOMES OF SUBJECTIVE COGNITIVE DECLINE: AN ELECTRONIC HEALTH RECORDS AND ARTIFICIAL INTEL…

Assistance award details

Assistance award identifier

ASST_NON_R00AG075190_075

FAIN

R00AG075190

Recipient

BRIGHAM & WOMENS HOSPITAL INC

Awarding agency

Department of Health and Human Services

Funding agency

Department of Health and Human Services

Assistance listing (CFDA)

93.866

Total obligated

$742,005

Period

Sep 15, 2022 – Aug 31, 2027

Fiscal year

2024

Place of performance state

MA

Source file

FY2024_All_Assistance_Full_20261006.zip

Description

ANTECEDENTS AND OUTCOMES OF SUBJECTIVE COGNITIVE DECLINE: AN ELECTRONIC HEALTH RECORDS AND ARTIFICIAL INTELLIGENCE APPROACH - PROJECT SUMMARY EARLY DETECTION OF ALZHEIMER’S DISEASE AND RELATED DEMENTIAS (ADRD) FROM ELECTRONIC HEALTH RECORDS (EHRS) CAN FACILITATE PARTICIPANT ENROLLMENT IN CLINICAL TRIALS AND EARLY INTERVENTION ONCE CLINICALLY AVAILABLE. SUBJECTIVE COGNITIVE DECLINE (SCD) CAN BE AN EARLY MANIFESTATION OF ADRD. PREVIOUS RESEARCH IN EARLY DETECTION OF ADRD HAS FOCUSED ON OBSERVATIONAL STUDY COHORTS, GENERALLY SMALL IN SIZE AND OFTEN WITH STRINGENT MEDICAL EXCLUSION CRITERIA. INVESTIGATION OF LARGER AND MORE REPRESENTATIVE SAMPLES IS NEEDED TO DEVELOP A FULL UNDERSTANDING OF THE UNDERLYING CONDITIONS, PROCEDURES, AND/OR INTERVENTIONS THAT CAN CONTRIBUTE TO COGNITIVE DECLINE OR ACCELERATE PROGRESSION TO DEMENTIA IN THE POPULATION AT LARGE. THE OVERALL GOAL OF THIS PROPOSED RESEARCH IS TO LEVERAGE LARGE-SCALE EHR DATA AND ADVANCED INFORMATICS TECHNOLOGY TO DEVELOP CASE-FINDING METHODS FOR SCD AND TO ADVANCE THE UNDERSTANDING OF ITS RISK FACTORS AND DEMENTIA OUTCOMES IN OLDER ADULTS. PRELIMINARY DATA SUGGEST THAT CLINICAL NOTES AND MACHINE LEARNING (ML) ALGORITHMS CAN BE HELPFUL TO CAPTURE PATIENTS WITH EARLY COGNITIVE DECLINE. HOWEVER, IDENTIFYING WHICH PATIENTS WITH SCD ARE MORE LIKELY TO DEVELOP DEMENTIA IS EXTREMELY CHALLENGING. DURING THE K99 PHASE, THE FIRST AIM WILL BE TO DEVELOP AN INFORMATICS APPROACH TO IDENTIFY A PRE-DEMENTIA COHORT (PATIENTS WITH EVIDENCE OF A COGNITIVE CONCERN BUT NO DEMENTIA). THE SECOND AIM WILL IDENTIFY THE SOCIAL AND CLINICAL CHARACTERISTICS OF THIS COHORT IN THE EHR, ALONG WITH ANTECEDENT RISK FACTORS, AND PREDICTORS FOR A DEMENTIA OUTCOME. THE TWO HYPOTHESES ARE THAT 1) CLINICAL CONDITIONS (EG, NEUROPSYCHIATRIC DISORDERS, CARDIOVASCULAR DISEASES, RENAL DISEASE, RESPIRATORY INFECTIONS, SLEEP DISORDERS) AND MEDICATIONS THAT DELETERIOUSLY AFFECT COGNITION WILL CONTRIBUTE TO THE INITIAL APPEARANCE OF COGNITIVE DECLINE; AND