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Total Laboratory Automation of Routine Hemostasis Testing
Giorgio Da Rin1, Giuseppe Lippi2
1Struttura Complessa Medicina di Laboratorio, Ospedale di Bassano del Grappa, Bassano del Grappa (VI), Italy.
Automated laboratory track-line systems do not significantly impact the reliability of routine hemostasis tests. Coagulation testing remains clinically valid when samples are processed through total laboratory automation, ensuring efficient laboratory workflows.
Area of Science:
- Clinical diagnostics
- Laboratory automation
- Hemostasis testing
Background:
- Preanalytical sample management is crucial for reliable laboratory results.
- Total laboratory automation systems offer potential efficiency gains in clinical laboratories.
- Assessing the impact of automation on hemostasis test accuracy is essential.
Purpose of the Study:
- To evaluate if preanalytical sample handling via an open total laboratory automation system affects routine hemostasis test reliability.
- To compare results from samples processed through a track-line system versus direct loading into a coagulation analyzer.
Main Methods:
- Forty inpatient samples were split into two groups.
- One group was directly loaded into a hemostasis analyzer after centrifugation.
- The other group was processed through a 16.5m track-line system (FlexLab) for automated centrifugation and analysis.
Main Results:
- Statistically significant differences were observed for prothrombin time (PT) and activated partial thromboplastin time (aPTT) between the two methods.
- No significant difference was found for fibrinogen levels.
- The mean percentage bias for PT, aPTT, and fibrinogen was modest and below the total allowable error, indicating no clinical significance.
Conclusions:
- Connecting coagulation analyzers to track-line systems is a feasible approach for contemporary clinical laboratories.
- Total laboratory automation does not compromise the clinical validity of routine hemostasis testing.
- The study supports the integration of automation for enhanced laboratory efficiency without sacrificing diagnostic accuracy.
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