How to interpret laboratory data:Introduction.


It is important for pharmacist to learn how to read laboratory report and interpret its data that will help him in: 1. Recognize normal ranges for common laboratory values in adults. 2. Identify common causes for abnormal laboratory values. 3. List circumstances that may produce false-negative or false-positive laboratory results. 4. Interpret the clinical significance of abnormal laboratory values. 5. Utilize clinical laboratory data to monitor various disease states.

It is important for pharmacist to learn how to read laboratory report and interpret its data that will help him in:

1. Recognize normal ranges for common laboratory values in adults.
2. Identify common causes for abnormal laboratory values.

3. List circumstances that may produce false-negative or false-positive laboratory results.
4. Interpret the clinical significance of abnormal laboratory values.
5. Utilize clinical laboratory data to monitor various disease states.

Content:

These lectures are designed to provide an overview of common laboratory tests used in clinical practice. The most frequently used tests such as:

1.      Cardiac tests
2.      Liver function tests
3.      Kidney function tests
4.      GIT tests
  •          Endocrine tests
1.      Thyroid function test
2.      Diabetes mellitus tests
3.      Adrenal gland tests
  •          Hematologic tests
  •          Coagulation tests
  •          Immunologic tests
  •          Infectious disease diagnostic tests
CLINICAL PEARLS WHEN INTERPRETING LABORATORY DATA
  •  Normal values may vary from laboratory to laboratory, depending on techniques
    and reagents used.

  •  Normal values may also vary depending on the patient’s age, gender, weight,
    height, and other factors.

  • Laboratory error is a fairly uncommon occurrence; however, it can happen.
    Potential causes of laboratory error include technical error, improper calculation, inadequate specimen, incorrect sample timing, improper sample preservation, food substances affecting specimen, or medication interference with laboratory tests. 
  •  If laboratory error is suspected, the test should be repeated.
  •  Remember: always treat the patient, not the laboratory value!

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