Case Studies: Patients With Platelet Disorders - Series One
Case Studies: Patients with Platelet Disorders - Series One (9863-08)
Learn how to assess information from the problem, clinical data and laboratory findings to resolve disorders such as neonatal alloimmune thrombocytopenia, gray platelet syndrome, Glanzmann's thrombasthenia, post-infectious thrombocytopenia, and the use and abuse of bleeding times.
Member Price
$0
Non-Member Price
$110
Additional Details
PEP hours: 16
CPS/ART credits: 0
Level: Basic
Course Type: Express
Start Date: Upon registration
Completion: Up to 52 weeks
Delivery: PDF via email
Prerequisites: None
Textbook: N/A
Equipment: Computer with Internet is required
Learning Outcomes:
- Describe the mechanisms of neonatal alloimmune thrombocytopenia.
- Detail the difference between alloimmune thrombocytopenic purpura and HDNB.
- Tabulate the characteristics of common platelet antigens
- Discuss the value of testing for platelet antigens.
- Outline the features of platelets with defects of platelet granules.
- Describe the morphological appearance of platelets with Gray Platelet Syndrome.
- Discuss the diagnostic and treatment options for patients with Gray Platelet Syndrome.
- Describe the functional defects seen in patients with deficiencies of specific platelet glycoproteins.
- Briefly review the genetics of patients with platelet functional disorders.
- Explain the theory of platelet aggregation tests.
- Tabulate the clinical and laboratory results seen in patients with hereditary platelet functional disorders.
- Discuss the logic and value of using the terms “idiopathic” and “immune” thrombocytopenia.
- Outline the laboratory features of childhood thrombocytopenia.
- Discuss in detail the pros and cons of the bleeding time test.
- List the many causes for an abnormal bleeding time test.
- Tabulate some of the many drugs that interfere with platelet function tests.
- Describe the procedure for performing a clinically significant bleeding time test.
- Prepare sensitivity, specificity, positive predictive value and negative predictive value results from laboratory data provided.
Author/Instructor: John Chapman, FCSMLS, FIMLS, CLSp(H)
Version Date: November 2008