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House Dust Hollister-Stier IgE

The Insulin-Like Growth Factor-Binding Protein 3 (IGFBP-3) serum test is an essential diagnostic tool for assessing growth hormone (GH) production and its impact on the body. IGFBP-3, a 264-amino acid peptide primarily produced by the liver, binds to insulin-like growth factors, particularly IGF-1, extending their half-life and stabilizing their effects on tissues. Clinically, the IGFBP-3 test is crucial for diagnosing growth disorders, such as short stature or gigantism, and adult GH deficiency, which can lead to decreased muscle mass and bone density. It also aids in monitoring recombinant human GH therapy and provides additional information in conditions like acromegaly. The test requires a serum sample, with results interpreted based on age-specific reference ranges. Factors such as nutrition and liver function can influence IGFBP-3 levels, and variability among assays necessitates careful interpretation. Overall, the IGFBP-3 test is a valuable tool in managing growth-related conditions.

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Price of test:£34

The lowest price from the last 30 days: £34

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Awaiting result:

One day

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Collect material:

Blood

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Prepare:

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Purpose of the test

The IGFBP-3 serum test is essential for diagnosing and monitoring growth hormone-related conditions. Key objectives include:

- Diagnosing Growth Disorders: Assess IGFBP-3 levels to identify growth issues like short stature or gigantism.
- Adult GH Deficiency: Detect low IGFBP-3 levels indicating GH deficiency, affecting muscle mass and energy.
- Monitoring GH Therapy: Evaluate IGFBP-3 to gauge recombinant GH treatment effectiveness.
- Acromegaly and Gigantism: Support diagnosis with elevated IGFBP-3 levels.

Proper preparation and understanding of results are crucial for accurate diagnosis and treatment adjustments.

Who Should Get Tested

The House Dust Hollister-Stier IgE test is essential for individuals experiencing symptoms of dust-related allergies. Key candidates for testing include:

- Those with persistent respiratory issues, such as sneezing or coughing, especially indoors.
- Individuals with a family history of allergies or asthma.
- Patients with unexplained skin rashes or eczema.
- People experiencing allergic reactions without a clear cause.

This test helps identify specific allergens, guiding effective management and treatment plans. Understanding the test's purpose and results can significantly enhance patient care and quality of life.

Blood Test Preparation Guidelines
Time of day
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It is recommended to schedule your appointment for blood tests in the morning hours between 7:00-10:00.
Fasting
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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
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Drinking water prior to testing can help with sample collection.
Other factors
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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:
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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:
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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 for the IGFBP-3 serum test is crucial for diagnosing and managing growth-related conditions. Here's a brief guide:

- Age-Dependent Levels: IGFBP-3 levels vary with age, peaking during puberty and slightly decreasing in adulthood.
- Clinical Context: Results should be interpreted considering the patient's age, nutritional status, and liver function.
- Discrepancies: Differences between IGFBP-3 and IGF-1 levels may indicate liver or kidney issues.
- Assay Variability: Different testing platforms may yield varying results; consistency in testing methods is recommended.

Price of test:£34

The lowest price from the last 30 days: £34

AI-Powered Insights and Expert Validation
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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.
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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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