A Retrospective Database Study for the Development and Validation of Algorithms for Intracerebral Hemorrhage and Seizures in Alzheimer's Disease
Development and Validation of Algorithms for Identifying Intracerebral Hemorrhage and Seizures in Patients With Alzheimer's Disease: A Retrospective Database Study Using United States Healthcare Administrative Claims Data
1 other identifier
observational
600
0 countries
N/A
Brief Summary
The primary objective of this study is to develop and validate claims-based algorithms to identify intracerebral hemorrhage \>1 cm in diameter, ensuring differentiation from amyloid-related imaging abnormality-microhemorrhage and hemosiderin deposit (ARIA-H; microhemorrhage, superficial siderosis) in participants with Alzheimer's disease (AD) using claims data in the United States (US) with linkage to electronic health records (EHRs), and to estimate the positive predictive values (PPVs) of the algorithms. The secondary objective of the study is to validate claims-based algorithms to identify new-onset seizures in participants with AD using US claims data with linkage to EHRs and to estimate the PPVs of the algorithms.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2026
Shorter than P25 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 20, 2026
CompletedFirst Posted
Study publicly available on registry
July 23, 2026
CompletedStudy Start
First participant enrolled
July 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
July 23, 2026
July 1, 2026
5 months
July 20, 2026
July 20, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Positive Predictive Value (PPV) of algorithms to identify intracerebral hemorrhage >1 cm in diameter
Up to 9.5 years
Secondary Outcomes (1)
PPV of algorithms to identify new-onset seizure
Up to 9.5 years
Study Arms (1)
Alzheimer's Disease Participants in US Claims-EHR Data
Interventions
This is a non-interventional study.
Eligibility Criteria
The study includes participants with at least one Alzheimer's disease diagnosis in claims data from January 2016 to July 2025 (or the latest available data).
You may qualify if:
- Before or on the outcome event date, have at least 1 ICD-10-CM diagnosis code for AD in medical claims in an inpatient setting; or have at least 2 ICD-10-CM diagnosis codes in medical claims in an outpatient setting, at least 7 days and less than 365 days apart
- Have at least 365 days of continuous coverage with medical and pharmacy benefits before the outcome event date
- Have EHR data available for (1) the outcome event date or (2) during the period of up to 30 days before and up to 90 days after the outcome event date
- Have unstructured EHR information (ie, clinical notes) available for any encounter (1) on the outcome event date or (2) during the period of 30 days before to up to 45 days after the outcome event date
You may not qualify if:
- New-onset seizure outcome only: Have any ICD-10-CM diagnosis code for seizure or epilepsy before the outcome event date
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Eisai Inc.lead
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 20, 2026
First Posted
July 23, 2026
Study Start
July 30, 2026
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
July 23, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will share
Eisai's data sharing commitment and further information on how to request data can be found on our website http://eisaiclinicaltrials.com/