Beta-Carotene

The Beech Tree IgE test is a specialized diagnostic tool designed to detect IgE antibodies in an individual's serum, specifically targeting allergens from the American Beech Tree. This test is essential for diagnosing allergies related to beech tree pollen, which can trigger seasonal allergic reactions such as respiratory issues and skin rashes. By identifying the presence and level of specific IgE antibodies, the test helps pinpoint the allergen responsible for these symptoms, aiding in effective allergy management. Utilizing the Fluorescence Enzyme Immunoassay (FEIA) method, the test measures the fluorescence of the serum sample, which correlates with the IgE antibody levels. Higher fluorescence indicates a greater likelihood of an allergic response. The Beech Tree IgE test is clinically relevant for diagnosing conditions like allergic rhinitis and asthma, particularly in individuals sensitive to seasonal allergens. Results are typically available within 1 to 3 days, providing timely insights for healthcare providers to guide treatment decisions.

Price of test:£90

The lowest price from the last 30 days: £90

Awaiting result:

One day

Collect material:

Blood

Prepare:

Learn more

Purpose of the test

The Beech Tree IgE test is essential for diagnosing allergies to beech tree pollen. It identifies specific IgE antibodies in serum, indicating allergic reactions. Key points include:

- Purpose: Diagnose beech tree pollen allergy.
- Method: Uses Fluorescence Enzyme Immunoassay (FEIA).
- Clinical Relevance: Helps manage allergic rhinitis, asthma.
- Specimen: Serum, refrigerated or frozen.
- Reporting: Results as class score or kU/L.
- Considerations: Interpret in clinical context, consider false positives.
- Availability: Results in 1-3 days, Monday-Friday testing.

Who Should Get Tested

The Beech Tree IgE test is essential for diagnosing allergies to beech tree pollen. It identifies specific IgE antibodies in serum, indicating allergic reactions. Key points include:

- Purpose: Diagnoses beech tree pollen allergies, identifying allergens causing symptoms like respiratory issues.
- Method: Uses Fluorescence Enzyme Immunoassay to detect IgE levels.
- Clinical Relevance: Helps manage allergic diseases, especially in children and adults with respiratory issues.
- Specimen Collection: Requires serum, stored refrigerated or frozen.
- Considerations: Not useful post-immunotherapy; interpret results with clinical context.

Blood Test Preparation Guidelines

Time of day

It is recommended to schedule your appointment for blood tests in the morning hours between 7:00-10:00.

Fasting

It is recommended to fast for approximately 12 hours before blood sampling. The last meal of the previous day should ideally be consumed around 6:00 p.m. On the day before the test, avoid heavy and fatty meals as well as alcohol.

Stay hydrated

Drinking water prior to testing can help with sample collection.

Other factors

Tests should not be performed after a sleepless night or intense physical activity. It is recommended to avoid exercise and stress immediately before blood collection and to not smoke. A short rest is recommended.

Medications and supplements:

Blood samples should be collected before the morning dose. Some drugs can interfere with test results. Consult with your doctor whether you can delay your dose because of lab tests.

Biotin supplements:

High doses of biotin supplements can affect test results, causing false elevation or reduction. It's recommended to avoid taking biotin for at least 72 hours before blood collection. If you are taking biotin, inform the personnel collecting the blood so that they can provide specific instructions.

Interpreting Test Results

Understanding test results is essential for managing allergies effectively. The Beech Tree IgE test provides valuable insights into allergic reactions to beech tree pollen. Here's how to interpret the results:

- Class Score or kU/L: Indicates the level of specific IgE antibodies.
- Higher Values: Suggest a greater likelihood of an allergic response.
- Clinical Context: Results should be interpreted alongside clinical history.
- False Positives: Possible in cases with elevated serum IgE.

Understanding these aspects aids in accurate diagnosis and treatment planning.

Price of test:£90

The lowest price from the last 30 days: £90

AI-Powered Insights and Expert Validation

Advanced AI Interpretation

Diagu's AI system represents a breakthrough in medical test analysis, employing state-of-the-art algorithms meticulously trained on a vast spectrum of authoritative medical literature and data. This system intricately analyses laboratory test results, extracting nuanced insights that might elude conventional methods. Our AI delves into complex interrelations between various health markers, offering a comprehensive understanding that supports accurate diagnosis and effective treatment planning. The foundation of our AI's analytical prowess lies in its extensive training, encompassing data from globally recognised medical journals, trusted healthcare databases, and breakthrough scientific studies. This ensures that every analysis is grounded in the latest and most comprehensive medical knowledge.

Expert Doctor Confirmation

While our AI provides deep analytical insights, the human touch remains indispensable. Every AI-generated interpretation is meticulously reviewed by experienced medical professionals, ensuring a harmonious blend of advanced technology and expert clinical judgment. This dual-layer approach guarantees that the insights provided are not only technologically sophisticated but also clinically relevant. Our medical experts ensure that the AI's interpretations align with current medical standards and practices, adding a layer of validation that only seasoned healthcare professionals can provide. This process reinforces the reliability of the test results, offering peace of mind to both patients and healthcare providers.

Language Model and Trusted Sources

At the core of Diagu's AI system is an advanced language model, engineered to transform complex medical data into clear, comprehensible, and informative descriptions. This model is adept at articulating detailed test analyses in a way that is accessible to both healthcare professionals and patients. The model's development involved the meticulous processing of high-quality sources, including reputable medical websites, renowned medical textbooks, and peer-reviewed research papers. This ensures that the language used in test descriptions is not only accurate and informative but also up-to-date with the latest medical findings and trends. By leveraging this rich tapestry of trusted sources, our AI system provides a deeper understanding of each test, fostering informed decision-making and enhanced patient care.

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