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Early Liver Disease Detection: New Blood Test Predicts Risk Years in Advance

Early Liver Disease Detection: New Blood Test Predicts Risk Years in Advance

Simple ‍Blood ⁢Test Accurately Predicts ​Risk of Severe⁤ Liver Disease Years in Advance

Early detection of cirrhosis and⁢ liver cancer is now more accessible thanks to a new, highly accurate risk assessment tool based on routine blood tests.

Liver‌ disease,​ including cirrhosis and liver​ cancer, is ⁣on the rise and⁤ often presents a poor prognosis when diagnosed late. Now, a groundbreaking study from Karolinska Institutet, ‍published in The BMJ, reveals a simple yet⁤ powerful method for predicting an individual’s risk of developing‍ severe liver disease up ⁢to 10 years in the future. This innovation promises to transform early detection efforts, especially within​ primary care settings.

The CORE Model: A New Standard in Liver Disease Risk Assessment

Developed by researchers Rickard strandberg and Hannes Hagström at ⁣Karolinska Institutet’s Department of Medicine in Huddinge, the CORE model ⁤utilizes ⁢readily available data from standard blood tests. Instead of relying on⁢ complex or specialized ⁢analyses, CORE leverages five easily obtainable factors:

* Age: A ‌key demographic factor influencing risk.
* ‌ Sex: Biological sex​ plays a role ⁤in liver disease susceptibility.
* AST‌ (Aspartate Aminotransferase): A common liver enzyme.
* ALT (Alanine Aminotransferase): Another frequently measured liver enzyme.
* GGT (Gamma-Glutamyl Transferase): A⁢ third common⁤ liver enzyme providing crucial diagnostic facts.

Thes factors are combined using advanced statistical methods ⁣to ‌generate a personalized risk score. The CORE model’s‌ accuracy stems from its robust development, utilizing data from ⁤a large-scale, long-term study.

How accurate is CORE? A Meaningful Improvement‌ Over ⁣Existing ⁤Methods

The⁤ CORE model was rigorously tested on data from over 480,000 individuals in Stockholm, Sweden, who underwent health checks​ between‌ 1985 and 1996. Over a 30-year follow-up period, researchers identified that ⁣1.5% of participants developed severe liver disease, requiring liver transplantation, or were diagnosed with liver cirrhosis or liver cancer.

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The ‍results were compelling: CORE accurately identified individuals who would or ⁢would not develop severe​ liver disease in 88% of cases. This represents a significant improvement‍ over the currently recommended FIB-4 method, which is less‌ effective for general population screening.

Further validation in self-reliant populations in Finland and the UK confirmed ​CORE’s high accuracy‍ and reliability.

Accessible Tool for Primary Care Physicians

Recognizing ‍the need for a user-friendly tool, the​ researchers have developed a web-based calculator ‍freely ⁣available to doctors and nurses at www.core-model.com. This accessibility is crucial,as primary​ care​ is often the first point‌ of contact for patients.

“This is an critically important⁤ step towards being able to ​offer ​early screening for‍ liver disease in⁣ primary⁤ care,” explains Hannes Hagström,adjunct professor⁤ at Karolinska Institutet and senior consultant at Karolinska University Hospital. “Drug⁢ treatment is now available, and becoming more widely accessible, for those at‍ high risk of developing liver diseases like cirrhosis or liver ‌cancer.”

Why Early ​Detection Matters

Early ​detection​ of ‍liver disease⁤ is paramount. While advanced⁤ stages often require invasive treatments like liver⁤ transplantation, early intervention can considerably improve⁤ outcomes. New pharmacological treatments are emerging that can slow or even halt the⁤ progression‌ of liver disease in high-risk‌ individuals. ‍ Identifying these individuals before ⁤symptoms appear is the key to maximizing treatment effectiveness.

Future‌ Directions & ​Considerations

While the‌ CORE model demonstrates exceptional promise, ​the researchers⁢ acknowledge further inquiry is needed:

* high-Risk Groups: Testing ‌within populations with specific risk factors, such as ‍those with type 2 diabetes or obesity, is crucial to‍ refine the model’s performance.
* ⁤ Integration with Medical Records: Seamless integration into electronic health record systems ‍will facilitate widespread clinical adoption and​ streamline the risk assessment process.

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This research ⁢represents a major advancement in liver‍ disease prevention and management. By ⁢empowering healthcare professionals with a⁣ simple, accurate, and accessible tool, the CORE model has the potential to save lives and improve ⁤the health of countless ⁤individuals.

Study Funding & Disclosures: This‌ study was supported by the Swedish Research Council, Region Stockholm (CIMED), and⁣ the Swedish Cancer Society. hannes Hagström has research collaborations with the pharmaceutical industry related to⁤ liver disease prognosis, but none directly ⁤influenced this study.

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