The Swedish BioFINDER - Memory Clinic Study (Validate)

November 2, 2023 updated by: Oskar Hansson, Skane University Hospital

The diagnosis of diseases causing memory difficulties or dementia is often challenging. Without the use of advanced methods such as cerebrospinal fluid tests, approximately 25-30% do not receive a correct diagnosis today. However, we have recently developed new blood biomarkers with high diagnostic accuracy, and we now want to investigate whether they can eventually replace cerebrospinal fluid tests. This is because blood tests are much more cost-effective and significantly easier for patients compared to cerebrospinal fluid tests.

In this study, 1200 patients undergoing clinical evaluations at the Memory Clinic, Skåne University Hospital in Malmö, are included for blood and cerebrospinal fluid sample collection. The blood samples are sent for analysis using the new blood biomarkers. Subsequently, the results are compared with those from the clinical analysis of cerebrospinal fluid to determine how well they perform in routine clinical practice as an alternative to cerebrospinal fluid tests and whether the blood test improves patient care. This comparison is carried out by the attending physician in three steps:

  1. Assessment without access to the results of either the blood test or cerebrospinal fluid test.
  2. Assessment with access to only the results of the blood test.
  3. Assessment with access to the results of both the blood test and cerebrospinal fluid test.

Aim 1) To prospectively validate plasma AD biomarkers for diagnosis of patients with cognitive symptoms who are evaluated in a specialist memory clinic.

Aim 2) Determine whether blood AD biomarkers improve patient management in specialist memory clinic settings.

Study Overview

Detailed Description

The diagnosis of diseases causing memory difficulties or dementia is often challenging. Without the use of advanced methods such as cerebrospinal fluid tests, approximately 25-30% do not receive a correct diagnosis today. However, we have recently developed new blood biomarkers with high diagnostic accuracy, and we now want to investigate whether they can eventually replace cerebrospinal fluid tests. This is because blood tests are much more cost-effective and significantly easier for patients compared to cerebrospinal fluid tests.

In this study, 1200 patients undergoing clinical evaluations at the Memory Clinic, Skåne University Hospital in Malmö, are included for blood and cerebrospinal fluid sample collection. The blood samples are sent for analysis using the new blood biomarkers. Subsequently, the results are compared with those from the clinical analysis of cerebrospinal fluid to determine how well they perform in routine clinical practice as an alternative to cerebrospinal fluid tests and whether the blood test improves patient care. This comparison is carried out by the attending physician in three steps:

  1. Assessment without access to the results of either the blood test or cerebrospinal fluid test.
  2. Assessment with access to only the results of the blood test.
  3. Assessment with access to the results of both the blood test and cerebrospinal fluid test.

Aim 1) To prospectively validate plasma AD biomarkers for diagnosis of patients with cognitive symptoms who are evaluated in a specialist memory clinic. We here intend to study the clinical robustness and accuracy of plasma AD biomarkers in real-world settings by using high-performing plasma assays over 2-3 years, focusing on a specialist memory clinic population (n=1200). In this study plasma samples are collected as part of clinical praxis and analyzed on a bi-weekly basis throughout the study period (and not in single batches/at study closure). We will (1) use pre-defined cut offs for each biomarker (similar to real world clinical practice), and (2) use an accurate reference standard (i.e., presence of AD brain pathology as determined with CSF Aβ42/Aβ40 [Lumipulse; Fujirebio] and CSF P-tau217 [Eli Lilly]). We will strive to recruit diverse and representative populations of patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI) and mild dementia. The effects of potential confounders (such as kidney function) on diagnostic accuracy will also be studied. We will only use really top-performing plasma assays for each biomarker, including p-tau217 and Ab42/Ab40.

Expected outcomes: We will 1) determine the diagnostic accuracy of different plasma AD biomarkers, 2) establish an optimal combination of plasma biomarkers for detection of AD brain pathology and 3) identify the effects of different potential confounding factors (e.g., kidney function) on the performance of different plasma biomarkers, when used prospectively in both real-world specialist and primary care populations.

Aim 2) Determine whether blood AD biomarkers improve patient management in specialist memory clinic settings. As often noted by regulatory authorities, it is important to know if novel diagnostic methods improve the actual management of patients in real world settings. Consequently, we study whether the most promising plasma biomarkers for symptomatic AD (including plasma p-tau217) will improve AD diagnosis beyond what is currently done as part of clinical practice. The dementia experts will document the most likely diagnosis (and the certainty of the diagnosis) after having performed an interview with the patient and informant, as well as evaluated the patient's cognitive test results, routine blood tests and structural brain imaging. The physician will then re-evaluate the diagnosis (and certainty of diagnosis) after having obtained the plasma p-tau217 results, and the pre- and posttest diagnosis will be compared to the reference standard (i.e., presence of AD brain pathology as determined with CSF Aβ42/Aβ40 [Lumipulse; Fujirebio] and CSF P-tau217 [Eli Lilly]). Change in treatment and care of the patient after evaluating the p-tau217 results will also be recorded similar to how amyloid-PET was evaluated in the IDEAS study.

Expected outcomes: We will determine whether the addition of plasma AD biomarkers to current clinical practice in memory clinics and/or primary care improves diagnosis and management of patients with SCD, MCI or mild dementia.

Study Type

Observational

Enrollment (Estimated)

1200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Malmö, Sweden
        • Recruiting
        • Skåne University Hospital
        • Contact:
          • Erik Stomrud, MD, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with cognitive symptoms (SCD, MCI or dementia) at a secondary memory clinic.

Description

Inclusion Criteria:

  1. Under investigation for cognitive symptoms at the Memory clinic.
  2. Cerebrospinal fluid and blood sampling is planned to be done as part of clinical practice even if the patient is not taking part of this study.

Exclusion Criteria:

  1. Not undergoing CSF or blood sampling as part of clinical practice.
  2. Not undergoing cognitive testing as part of clinical practice.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients in secondary care with cognitive symptoms
APS 2 score (combination of ptau217/nptau217 and Ab42/Ab40). The cut off will be predefined. The samples will be analysed prospectively every two weeks.
The cut off will be predefined. The samples will be analysed prospectively every two weeks.
The cut off will be predefined. The samples will be analysed prospectively every two weeks.
The cut off will be predefined. The samples will be analysed prospectively every two weeks.
The cut off will be predefined. The samples will be analysed prospectively every two weeks.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Brain AD pathology as determined by CSF AD biomarkers
Time Frame: At baseline (cross-sectional)
CSF Ab42/Ab40 and p-tau217
At baseline (cross-sectional)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical diagnosis supported by CSF biomarkers
Time Frame: At baseline (cross-sectional)
Clinical diagnosis based on DSM-5 but supported by CSF biomarkers
At baseline (cross-sectional)
Brain AD pathology as determined by tau PET imaging
Time Frame: At baseline (cross-sectional)
Tau PET imaging
At baseline (cross-sectional)
Change in patient management
Time Frame: At baseline (cross-sectional)
Change in suggested diagnosis, treatment, referral or ordered diagnostic tests
At baseline (cross-sectional)
Change in diagnostic confidence
Time Frame: At baseline (cross-sectional)
Change in diagnostic confidence of the treating physician
At baseline (cross-sectional)
Brain AD pathology as determined by amyloid amyloid PET imaging
Time Frame: At baseline (cross-sectional)
Amyloid PET imaging
At baseline (cross-sectional)
Progression to AD dementia in patients with SCD or MCI at baseline
Time Frame: At baseline (cross-sectional)
Development of AD dementia during follow-up diagnosed using DSM-5 and supported by CSF biomarkers
At baseline (cross-sectional)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 1, 2022

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

November 2, 2023

First Submitted That Met QC Criteria

November 2, 2023

First Posted (Estimated)

November 8, 2023

Study Record Updates

Last Update Posted (Estimated)

November 8, 2023

Last Update Submitted That Met QC Criteria

November 2, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Sharing Time Frame

Within one year after study completion

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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