The necessity of achieving good laboratory performance

Area of Science:

• Clinical Biochemistry
• Medical Diagnostics
• Laboratory Medicine

Background:

• Clinical biochemistry test results are vital for diagnosing and monitoring diabetes mellitus.
• Accurate interpretation requires minimizing analytical variability and bias in laboratory testing.
• Consistency in results is essential for tracking patient health over time and across different testing locations.

Purpose of the Study:

• To establish desirable analytical performance standards for clinical biochemistry tests.
• To determine the optimal approach for setting analytical goals based on biological variation.
• To provide specific analytical goals for key diabetes-related assays.

Main Methods:

• Review of strategies for setting analytical performance standards.
• Emphasis on using within-subject biological variation data to define analytical goals.
• Calculation of analytical goals (CV, %) for glucose, fructosamine, urinary albumin, and hemoglobin A1c.

Main Results:

• Within-subject biological variation is considered the best basis for analytical goals.
• A general goal is for total error to be less than half of the within-subject biological variation.
• Specific analytical goals (CV, %) were determined: glucose (2.2%), fructosamine (2.1%), urinary albumin (18%), and hemoglobin A1c (3.3%).

Conclusions:

• The established analytical goals are targets for method performance, not rigid acceptance criteria.
• Meeting these goals ensures that analytical variability minimally impacts the interpretation of patient results.
• This approach enhances the reliability of diabetes mellitus diagnosis and patient management through laboratory testing.