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Cyfra 21-1 Antigen

Cyfra 21-1 Antigen

The Dill IgE test is a specialized diagnostic tool designed to detect specific IgE antibodies in the blood, indicating an allergic reaction to dill. This test is essential for individuals who experience allergic symptoms such as hives, itching, swelling, stomach cramps, diarrhea, or anaphylaxis after exposure to dill. By identifying the allergen responsible for these reactions, the test aids in developing effective treatment plans, including allergen avoidance, medication, or immunotherapy. The test requires a serum sample, typically collected via blood draw, and utilizes the Fluorescence Enzyme Immunoassay (FEIA) method for analysis. Results are categorized into classes based on IgE levels, ranging from negative to very high positive, providing a clear indication of the allergy's severity. While the test is a valuable tool for diagnosing dill allergies, results should be interpreted within the broader clinical context, as some individuals may show measurable IgE levels without significant clinical symptoms.

Price of test:£313

The lowest price from the last 30 days: £313

Awaiting result:

One day

Collect material:

Blood

Prepare:

Learn more

Purpose of the test

The Dill IgE test is essential for diagnosing dill allergies by detecting specific IgE antibodies in the blood. It aids in identifying allergens responsible for symptoms like hives and anaphylaxis. Key aspects include:

- Specimen Collection: Requires a serum sample, stored at 2-8°C for 14 days or frozen at -20°C for 90 days.
- Methodology: Utilizes Fluorescence Enzyme Immunoassay (FEIA) with ImmunoCAP system.
- Result Interpretation: Categorizes IgE levels into classes, indicating allergy severity.

This test guides treatment plans, including allergen avoidance and immunotherapy.

Who Should Get Tested

The CYFRA 21-1 antigen test is crucial for patients with non-small cell lung cancer (NSCLC) to monitor disease progression and treatment response. Key points include:

- Prognostic Value: Elevated CYFRA 21-1 levels indicate poor prognosis.
- Monitoring: Useful for tracking treatment efficacy in advanced NSCLC.
- Limitations: Not for screening; elevated levels can occur in other conditions.
- Methodology: Uses electrochemiluminescence immunoassay.
- Specimen Handling: Requires careful collection and handling to ensure accuracy.

This test, while not definitive alone, provides valuable insights when combined with other clinical assessments.

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 crucial for managing allergies effectively. The Dill IgE test identifies specific IgE antibodies, indicating an allergic reaction to dill. Here's how to interpret the results:

- Class 0: Negative (<0.10 kU/L)
- Class 0/1: Equivocal (0.10-0.34 kU/L)
- Class 1: Low positive (0.35-0.69 kU/L)
- Class 2: Moderate positive (0.70-3.49 kU/L)
- Class 3: High positive (3.50-17.49 kU/L)
- Class 4-6: Very high positive (>17.50 kU/L)

Higher classes suggest a stronger allergic response. Results guide treatment plans, including allergen avoidance and potential immunotherapy.

Price of test:£313

The lowest price from the last 30 days: £313

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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