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Islet Cell Antibodies

The indirect Coombs test, or indirect antiglobulin test (IAT), is a pivotal diagnostic procedure in immunohematology, designed to detect antibodies against red blood cells (RBCs) in a patient's plasma. This test is crucial for ensuring blood compatibility in transfusions and prenatal screenings to prevent complications during pregnancy. The test identifies IgG antibodies in the serum that may target RBCs, potentially causing hemolytic reactions. It involves a two-stage process: first, the patient's serum is incubated with RBCs possessing known antigens; then, Coombs reagent is added to detect any bound antibodies, indicated by agglutination. The indirect Coombs test is essential for blood transfusion preparation, prenatal testing for hemolytic disease of the newborn, antibody identification, and compatibility testing. By identifying incompatible blood types and harmful antibodies, it plays a significant role in preventing hemolytic transfusion reactions and managing pregnancy-related complications, thereby influencing treatment strategies and improving patient outcomes.

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Price of test:£144

The lowest price from the last 30 days: £144

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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 indirect Coombs test is a key diagnostic tool in immunohematology, detecting antibodies against red blood cells (RBCs) in plasma. It ensures blood compatibility for transfusions and prenatal screening. Key objectives include:

- Antibody Detection: Identifies IgG antibodies in serum that may cause hemolytic reactions.
- Blood Transfusion Safety: Screens recipient plasma to ensure donor blood compatibility.
- Prenatal Screening: Detects antibodies that could harm the fetus, preventing hemolytic disease of the newborn.
- Antibody Identification: Determines antibody specificity and concentration for clinical management.

Who Should Get Tested

Islet cell antibodies (ICAs) are crucial in diagnosing and managing type 1 diabetes (T1D). These autoantibodies target pancreatic islet cells, indicating an autoimmune attack that impairs insulin production. Detecting ICAs helps differentiate T1D from other diabetes types and assess risk in high-risk individuals. Key points include:

- Diagnosis: ICAs confirm the autoimmune nature of T1D.
- Risk Assessment: High ICA levels in relatives suggest increased T1D risk.
- Autoantibody Profiles: Testing ICAs with other autoantibodies enhances risk evaluation.

ICAs guide clinical decisions, ensuring appropriate management and monitoring.

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 is crucial for interpreting the indirect Coombs test, a key diagnostic tool in immunohematology. This test identifies antibodies against red blood cells (RBCs) in a patient's plasma, ensuring blood compatibility and prenatal safety. Key points include:

- Blood Transfusion Preparation: Screens for antibodies to prevent hemolytic reactions.
- Prenatal Testing: Detects antibodies that may harm the fetus.
- Antibody Identification: Identifies specific antibodies for tailored treatment.
- Titration Studies: Determines antibody concentration to assess immune response severity.

Understanding these results aids in preventing complications and guiding clinical decisions.

Price of test:£144

The lowest price from the last 30 days: £144

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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