Abstract
Background - Although most of the common allergen extracts that are used for diagnosis of type 1 hypersensitivity are now well standardized, this gives no assurance that they are within the concentration range that gives the best chance of a true diagnosis. Objective - The objective of this study was to identify the most appropriate concentration range of timothy grass pollen Phleum pratense extract to diagnose sensitivity to this pollen correctly through skin-testing. Methods - Dilutions of a well-standardized extract were made and used to skin test 'true' positive and 'true' negative populations of subjects as identified by case history, challenge tests and radioallergosorbent test (RAST). Weal diameters were measured and the data were submitted to receiver operating characteristics (ROC) analysis. For any particular weal size cut-off, the optimal diagnostic concentration (ODC) range was thus calculated. Results - A 3 mm weal diameter cut-off was chosen as an appropriate size for routine diagnosis. Therefore the ODC range at this diameter was used to establish a product target concentration and specification for formulation of the diagnostic reagent. This method of allergen extract standardization can lead to a true-biological unitage that can be used for labelling purposes. Conclusion - The optimum concentration range at which to formulate an allergen extract, in terms of an in vitro immunologically based assay, can be determined by carrying out ROC analysis of the results of clinical studies as described in this communication. Diagnostic units (DU), are now used by us for labelling of such final formulations which conveys the information that the product is at the most appropriate concentration for diagnosis.
Original language | English |
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Pages (from-to) | 897-902 |
Number of pages | 6 |
Journal | Clinical and Experimental Allergy |
Volume | 26 |
Issue number | 8 |
DOIs | |
State | Published - 1996 |
Keywords
- Biological unit
- Diagnostic unit
- Optimal diagnostic concentration
- Pleum pratense
- Quality assurance units
- RAST
- ROC analysis
- Skin-prick test
- Standardization