Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: a worldwide collaborative project.

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A novel approach to improve newborn screening for congenital hypothyroidism by integrating covariate-adjusted results of different tests into CLIR customized interpretive tools

Newborn screening for congenital hypothyroidism remains challenging decades after broad implementation worldwide. Testing protocols are not uniform in terms of targets (TSH and/or T4) and protocols (parallel vs. sequential testing; one or two specimen collection times), and specificity (with or without collection of a second specimen) is overall poor. The purpose of this retrospective study is to investigate the potential impact of multivariate pattern recognition software (CLIR) to improve the post-analytical interpretation of screening results. Seven programs contributed reference data (N = 1,970,536) and two sets of true (TP, N = 1369 combined) and false (FP, N = 15,201) positive cases for validation and verification purposes, respectively. Data were adjusted for age at collection, birth weight, and location using polynomial regression models of the fifth degree to create three-dimensional regression surfaces. Customized Single Condition Tools and Dual Scatter Plots were created using CLIR to optimize the differential diagnosis between TP and FP cases in the validation set. Verification testing correctly identified 446/454 (98%) of the TP cases, and could have prevented 1931/5447 (35%) of the FP cases, with variable impact among locations (range 4% to 50%). CLIR tools either as made here or preferably standardized to the recommended uniform screening panel could improve performance of newborn screening for congenital hypothyroidism

Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: A worldwide collaborative project

PURPOSE:: To achieve clinical validation of cutoff values for newborn screening by tandem mass spectrometry through a worldwide collaborative effort. METHODS:: Cumulative percentiles of amino acids and acylcarnitines in dried blood spots of approximately 25-30 million normal newborns and 10,742 deidentified true positive cases are compared to assign clinical significance, which is achieved when the median of a disorder range is, and usually markedly outside, either the 99th or the 1st percentile of the normal population. The cutoff target ranges of analytes and ratios are then defined as the interval between selected percentiles of the two populations. When overlaps occur, adjustments are made to maximize sensitivity and specificity taking all available factors into consideration. RESULTS:: As of December 1, 2010, 130 sites in 45 countries have uploaded a total of 25,114 percentile data points, 565,232 analyte results of true positive cases with 64 conditions, and 5,341 cutoff values. The average rate of submission of true positive cases between December 1, 2008, and December 1, 2010, was 5.1 cases/day. This cumulative evidence generated 91 high and 23 low cutoff target ranges. The overall proportion of cutoff values within the respective target range was 42% (2,269/5,341). CONCLUSION:: An unprecedented level of cooperation and collaboration has allowed the objective definition of cutoff target ranges for 114 markers to be applied to newborn screening of rare metabolic disorders. © 2011 Lippincott Williams & Wilkins

Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: A worldwide collaborative project.

Purpose: To achieve clinical validation of cutoff values for newborn screening by tandem mass 215 spectrometry through a worldwide collaboration. Methods: Cumulative percentiles of amino 216 acids and acylcarnitines in dried blood spots of approximately 30 million normal newborns and 217 10,615 true positive cases are compared to assign clinical significance, which is achieved when 218 the median of a disease range is either >99%ile or <1%ile of the normal population. The cutoff 219 target ranges of analytes and ratios are then defined as the interval between the limits of the two 220 populations. When overlaps occur, adjustments are made to maximize sensitivity and specificity 221 taking in consideration all available factors. Results: As of December 1, 2010, 129 sites in 45 222 countries have uploaded to the project website a total of 23,970 percentile data points, 558,168 223 analyte results of 10,615 true positive cases with 64 conditions, and 5,088 cutoff values. The 224 average rate of submission of true positive cases between December 1, 2008 and December 1, 225 2010 was 4.7 cases per day (3,418 cases). This cumulative evidence generated 91 and 23 high 226 and low target cutoff ranges, respectively. The overall proportion of cutoff values within the 227 respective target range was 43% (2,176/5,088). Conclusions: An unprecedented level of 228 cooperation and collaboration has allowed the objective definition of cutoff target ranges for 114 229 markers applied to newborn screening of rare metabolic disorders. This set of data could be used 230 as baseline for monitoring of future performance