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Published on: February 14, 2017
Collaboration between clinicians and laboratory diagnosticians can improve outcomes for patients with coagulation
Megan McKown1, Marjory Brooks1,2, Robert Goggs1,2,3
1Comparative Coagulation Laboratory, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Insights
Diagnosing coagulation disorders is complex in primary care. This article offers solutions for common blood sample issues and guides clinicians through test selection for better patient management.
Area of Science:
- Clinical Chemistry
- Hematology
- Diagnostic Medicine
Background:
- Coagulation disorder diagnosis presents challenges in primary care.
- Complexity of coagulation pathways and terminology hinder accurate testing.
- Specific sample collection requirements are often misunderstood.
Purpose of the Study:
- To address common issues in blood sample submissions for coagulation testing.
- To provide practical solutions for primary care clinicians.
- To improve the accuracy and efficiency of diagnosing coagulation disorders.
Main Methods:
- Review of common problems in coagulation sample submissions.
- Description of optimal blood collection procedures for sample quality.
- Presentation of diagnostic algorithms for test selection and interpretation.
Main Results:
- Identified frequent errors in sample collection and handling.
- Provided clear guidelines for blood collection.
- Developed algorithms to aid in selecting and interpreting coagulation tests.
Conclusions:
- Overcoming sample collection challenges is crucial for accurate coagulation testing.
- Diagnostic algorithms can simplify test selection and interpretation.
- Improved practices will lead to successful patient management of coagulation disorders.
Abstract:
Diagnosing coagulation disorders can be challenging in primary care practice due to the complexity of coagulation pathways, confusing terminology, and special requirements for sample collection. This article highlights common problems identified in sample submissions for coagulation testing and provides solutions to help clinicians overcome these obstacles. Blood collection procedures for optimal sample quality are described, and diagnostic algorithms are presented that can guide test selection and facilitate the interpretation of test results for successful patient management.
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