Pre-analytical factors that can impact QC results include which of the following?

Pre-analytical factors that can impact QC results include which of the following?

• A. Specimen type, collection time, handling, storage, transport
• B. Instrument brand and software version only
• C. Diagnostic algorithms
• D. Patient demographics

Answer: (B)

The main idea is that pre-analytical factors are everything that happens before the analysis begins and can directly affect QC outcomes. How a specimen is chosen and handled—its type, when it’s collected, how it’s transported, stored, and processed—can change the quality and stability of the sample. For example, a wrong specimen type, delays in transport, improper storage temperatures, or rough handling can cause degradation, hemolysis, or contamination, all of which shift control values and QC results away from what’s expected. These variables occur before any measurement and thus directly impact QC performance. The other options don’t fit as pre-analytical factors. Instrument brand and software version belong to the analytical phase and affect measurement performance or data processing rather than the preparation of the specimen. Diagnostic algorithms relate to how results are interpreted after analysis, not to the pre-analytic conditions. Patient demographics may influence reference ranges or assay choice, but they don’t constitute the pre-analytical handling that alters QC results during specimen preparation and storage.

The main idea is that pre-analytical factors are everything that happens before the analysis begins and can directly affect QC outcomes. How a specimen is chosen and handled—its type, when it’s collected, how it’s transported, stored, and processed—can change the quality and stability of the sample. For example, a wrong specimen type, delays in transport, improper storage temperatures, or rough handling can cause degradation, hemolysis, or contamination, all of which shift control values and QC results away from what’s expected. These variables occur before any measurement and thus directly impact QC performance.

The other options don’t fit as pre-analytical factors. Instrument brand and software version belong to the analytical phase and affect measurement performance or data processing rather than the preparation of the specimen. Diagnostic algorithms relate to how results are interpreted after analysis, not to the pre-analytic conditions. Patient demographics may influence reference ranges or assay choice, but they don’t constitute the pre-analytical handling that alters QC results during specimen preparation and storage.