Damaged goods?: an empirical cohort study of blood specimens collected 12 to 23 hours after birth in newborn screening in California.

PURPOSE: The current Clinical and Laboratory Standards Institute standard recommends blood collection from 24 to 48 hours after birth for newborn genetic disorder screening. We used California population-level data to determine whether early specimens (collected from 12 to 23 hours) would also be considered satisfactory based on screening performance. METHODS: Screening data from California Genetic Disease Screening Program were analyzed for false-negative and false-positive rates in four disease categories: metabolic disorders detectable by tandem mass spectrometry (MS/MS); congenital adrenal hyperplasia (CAH); congenital hypothyroidism (CH); and initial immune reactive trypsinogen (IRT) for cystic fibrosis (CF). We compared the rates between the early-collection group (12 to 23 hours) and the standard-collection group (24 to 48 hours). RESULTS: No significant difference of false-negative rate was detected between the two collection-timing groups. Early specimens had a significantly higher false-positive rate for CH (0.10 vs. 0.01%) and IRT (1.85 vs. 1.54%) but a lower false-positive rate for MSMS metabolic disorders (0.11 vs. 0.18%) and CAH (0.10 vs. 0.14%). CONCLUSION: Newborn specimens collected after 12 hours provided satisfactory screening performance. A policy allowing earlier collection could improve timeliness of reporting screening results.

Newborn Screening for Cystic Fibrosis in California.

OBJECTIVES: This article describes the methods used and the program performance results for the first 5 years of newborn screening for cystic fibrosis (CF) in California. METHODS: From July 16, 2007, to June 30, 2012, a total of 2,573,293 newborns were screened for CF by using a 3-step model: (1) measuring immunoreactive trypsinogen in all dried blood spot specimens; (2) testing 28 to 40 selected cystic fibrosis transmembrane conductance regulator (CFTR) mutations in specimens with immunoreactive trypsinogen values ≥62 ng/mL (top 1.6%); and (3) performing DNA sequencing on specimens found to have only 1 mutation in step 2. Infants with ≥2 mutations/variants were referred to CF care centers for diagnostic evaluation and follow-up. Infants with 1 mutation were considered carriers and their parents offered telephone genetic counseling. RESULTS: Overall, 345 CF cases, 533 CFTR-related metabolic syndrome cases, and 1617 carriers were detected; 28 cases of CF were missed. Of the 345 CF cases, 20 (5.8%) infants were initially assessed as having CFTR-related metabolic syndrome, and their CF diagnosis occurred after age 6 months (median follow-up: 4.5 years). Program sensitivity was 92%, and the positive predictive value was 34%. CF prevalence was 1 in 6899 births. A total of 303 CFTR mutations were identified, including 78 novel variants. The median age at referral to a CF care center was 34 days (18 and 37 days for step 2 and 3 screening test-positive infants, respectively). CONCLUSIONS: The 3-step model had high detection and low false-positive levels in this diverse population.

Identification of galactose-1-phosphate uridyl transferase gene common mutations in dried blood spots.

BACKGROUND: The California newborn screening program uses newborns' dried blood spots (DBS) to screen for more than 45 genetic disorders. Deficiency of galactose-1-phosphate uridyl transferase (GALT) is one of the metabolic genetic disorders screened using newborn DBS. During follow-up tests, common mutations of the GALT gene have been identified using whole blood samples. To avoid the stress of drawing an additional blood sample from newborns who are identified as presumptive positive for galactosemia, we developed a method to test common mutations in the GALT gene using blood spots. METHODS: This method involves DNA extraction from DBS, followed by polymerase chain reaction (PCR), and single nucleotide extension (SNE). SNE products were detected by capillary electrophoresis. RESULTS: In a double-blind study, GALT gene common mutations/variants: IVS2-2A>G, p.S135L, p.T138M, p.Q188R, p.L195P, p.Y209C, p.L218L, p.K285N, and p.N314D were detected in seventy-three DBS which had previously been screened and confirmed as positive in the California Newborn Screening Program. Mutations found using blood spots gave 100% concordance with mutations from previously genotyped whole blood samples. CONCLUSIONS: This blood spot method decreases the genomic test turnaround time of GALT screened positive patients and potentially reduces emotional stress on families required to provide an additional blood draw.

An automated method on analysis of blood steroids using liquid chromatography tandem mass spectrometry: application to population screening for congenital adrenal hyperplasia in newborns.

BACKGROUND: Newborn screening for congenital adrenal hyperplasia (CAH) is commonly accomplished by measurement of 17-α-hydroxyprogestrone (17-OHP) using enzyme immunoassay (EIA). EIA contributes a significant number of false positives. Therefore, second-tier steroid profile by liquid chromatography-tandem mass spectrometry (LC-MS/MS) is warranted. METHODS: Dried blood spots (DBS) were extracted with a mixture of methanol and water containing the deuterium labeled internal standards of d(8)-17-OHP, d(7)-androstenedione, and d(4)-cortisol. The final extracts were analyzed for 17-OHP, androstenedione and cortisol by LC-MS/MS in the multiple reaction monitoring (MRM) mode. RESULTS: Mean recoveries of the target analytes, 17-OHP, androstenedione and cortisol, were between 97 and 115% with an average intra- and inter-assay CVs ranging from 3.9-9.9% to 3.6-10.1%, respectively. The high efficiency of this method enabled us to test 11,598 specimens, identified as indeterminate by EIA in ~6 years; resulting in 809 presumptive positives reducing the false positives rate by 93%. CONCLUSIONS: The three steroid profile provided better screening outcomes of CAH than 17-OHP concentration alone. Our sample preparation allowed high throughput using common laboratory chemicals. Using three internal standards significantly improved method precision and accuracy. The reduction in false positives significantly reduces anxiety for newborns and their families.