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The "diff-if". Use of microcomputer analysis to triage blood specimens for microscopic examination
S McClure1, J E Bates, R Harrison
1Department of Internal Medicine, University of Texas Medical Branch, Galveston 77550.
American Journal of Clinical Pathology
|August 1, 1988
Summary
A microcomputer program is more sensitive than numeric criteria for identifying abnormal blood smears in automated blood counts. Specificity varies by patient population, influencing the best triage strategy for manual differentials.
Area of Science:
- Hematology
- Clinical Pathology
- Laboratory Medicine
Background:
- Automated blood counts often lack manual white blood cell differentials.
- The "diff-if" strategy uses automated results to decide on manual differentials.
- Comparing numeric criteria versus microcomputer analysis for this triage is crucial.
Purpose of the Study:
- To compare the sensitivity and specificity of numeric criteria and a microcomputer program for triaging blood counts for manual differentials.
- To evaluate these strategies across different patient populations.
Main Methods:
- Two sets of criteria were compared: established numeric values and a microcomputer program analysis.
- The strategies were tested on three distinct patient populations: high hematologic disorders, predominantly normal, and predominantly abnormal counts (excluding primary hematologic disorders).
Main Results:
- The microcomputer program was more sensitive than numeric criteria for detecting various abnormalities, including bands, immature granulocytes, and red blood cell fragments.
- Specificity was comparable between methods in a high-disorder population but varied based on the patient group.
- Numeric criteria were more sensitive for mild eosinophilia and resulted in fewer manual differentials ordered.
Conclusions:
- Microcomputer analysis demonstrates higher sensitivity than numeric criteria for identifying abnormal blood smears.
- The optimal triage strategy's specificity is patient-population dependent.
- Laboratories should select a triage strategy based on their specific patient demographics.