News

AddToAny

Google+ Facebook Twitter Twitter

Screening for alzheimer’s disease

A new blood test called p-tau217 shows promise as an Alzheimer’s disease (AD) biomarker, and when used in a two-step workflow very high accuracy to either identify or exclude brain amyloidosis – the earliest pathology.

The two-step model is built on a first step with a diagnostic model to stratify patients with mild cognitive impairment (MCI) for risk of amyloid positron emission tomography (PET) positivity. Step two is based on confirmatory testing with CSF Aβ42/40 ratio only in those with uncertain outcomes in step one.

The workflow was evaluated in 348 MCI participants and three thresholding strategies were explored to classify participants into groups with low, intermediate and high risk for being

“Aβ positive”. At the stringent lower probability thresholds with 97.5% sensitivity, as few as 6.6% false negatives were found, while the stringent 97.5% specificity gave only 2.3% false positives.

At the stringent sensitivity/specificity thresholds, 41% of patients fell into the intermediate risk group (compared to 29% of patients for the 95% thresholds). The study presents a blood plasma p-tau217-based two-step model for risk stratification of patients with MCI into high, low and intermediate risk of having brain amyloidosis and early AD pathology. The blood test applied in step one shows very high accuracy to identify high-risk patients.

In the low-risk group, AD can be excluded with high degree of certainty. The intermediate risk group will only encompass around one third of patients, reducing the need for confirmatory CSF or PET testing at the specialist clinic.

bit.ly/3EpoZGz

Image credit | Science-Photo-Library

Related Articles

girl computer_CREDIT_shutterstock-58872785

Gamification in biomedical science education

Senior Lecturer in Biomedical Science Jen May outlines the successful implementation of scenario-based learning software.

web_blood-testing_credit_istock-1384651794.png

SPONSORED: The power of automated gel-based ID-cards in routine immunohematology workflows

Immuno-haematology assays are pivotal to the carrying out of blood grouping, antibody screening and transfusions, and represent a critically time-dependent stage in the patient management pathway.

Technician holding a blood sample ready for testing with other human medical samples in the background.-Image credit - Science-Photo-Library-f0243823

Machine learning tool to detect cancer via liquid biopsy

US researchers have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of cancer in patients by using smaller blood draws.

multiple myelomatosis-CREDIT-Science Photo Library-m132099

IBMS research grants

We look at the work of Dr Mosavar Farahani who received an IBMS Research Grant in 2023 to help fund her work on disease progression and skeletal complications in multiple myeloma.

Top