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Designing quality control for neonatal screening assays
Else-Maj R Suolinna1, Toni E Torresani, James O Westgard
1PerkinElmer Life Sciences Wallac, Turku, Finland.
Insights
Neonatal screening identifies high-risk infants using cut-off values. EZ Rules software optimizes quality control rules for assays like AutoDELFIA neoTSH, ensuring accurate diagnosis and treatment.
Area of Science:
- Clinical Chemistry
- Laboratory Quality Control
- Neonatal Screening
Background:
- Neonatal screening aims to identify infants at high risk for disorders, requiring further diagnostic and treatment actions.
- Test result interpretation relies on cut-off values to separate high-risk from low-risk groups.
- A grey zone between low and high cut-offs can define assay quality requirements.
Purpose of the Study:
- To utilize the EZ Rules software for automatically selecting quality control (QC) rules for neonatal screening assays.
- To establish an appropriate QC rule for the AutoDELFIA neoTSH assay using a defined grey zone.
Main Methods:
- Employed EZ Rules software, which calculates control rules based on user-inputted assay precision, bias, and preanalytical variation.
- Defined the medical decision interval using the grey zone (10-20 mU/L TSH) as recommended by the American Academy of Pediatrics.
- Inputted parameters for the AutoDELFIA neoTSH assay: 9% total imprecision, 0% bias, and 20% preanalytical variation, with two controls.
Main Results:
- The EZ Rules software calculated a 1 3.0 s rule as sufficient for the AutoDELFIA neoTSH assay with two controls.
- This rule ensures runs are rejected only if one of two controls exceeds the 3.0 standard deviation limit.
- The study highlights that many labs use less effective 2 SD rules, leading to unnecessary rejections.
Conclusions:
- EZ Rules software provides a valuable tool for selecting appropriate QC rules, optimizing laboratory efficiency.
- A 1 3.0 s rule with two controls is adequate for the AutoDELFIA neoTSH assay, improving accuracy and reducing false rejections.
- Implementing optimized QC rules is crucial for reliable neonatal screening and timely infant care.
Abstract:
The purpose of neonatal screening is to find those that have a high risk for a disorder and therefore need further action for diagnosis and treatment. The separation of the high-risk and low-risk groups is typically achieved by establishing cut-off values for interpretation of the test result. The guidelines should preferably include both a low cut-off and a high cut-off value, with a grey zone between them. The width of the grey zone can be used for defining the quality required by the assay. The present work is based on the use of the EZ Rules software (from Westgard QC, Madison, WI), which automatically selects control rules. The user enters the needed parameters, such as the precision (as % CV) and bias of the assay. By using the grey zone as the medical decision interval the program will calculate possible control rules for the assay. The program was used to calculate the control rule for the AutoDELFIA neoTSH assay (from PerkinElmer Wallac, Turku, Finland). The grey zone was taken as 10 - 20 mU/L TSH, which is the recommendation of the American Academy of Pediatrics (Pediat. 91, 1203 - 1209). The entered parameters were: a total imprecision of 9%, which is typically seen with the AutoDELFIA neoTSH kit, a bias of 0% and a preanalytical variation of 20%. With the number of controls chosen as two, as often is used, a 1 3.0 s rule can be applied. The program also gives alternative control rules. Many laboratories lack a documented definition of the required quality, and tend to use a 2 SD control rule, which however leads to many unnecessary rejections. The EZ Rules program provides a tool for selection of QC rules. With the quality of the AutoDELFIA neoTSH kit two controls and a 1 3.0 s rule is sufficient. Runs are rejected only if one control out of two exceeds the 3.0 SD limit.
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