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Dimitar Gavrilov

Researcher at Mayo Clinic

Publications -  57
Citations -  1901

Dimitar Gavrilov is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Newborn screening & Medicine. The author has an hindex of 19, co-authored 46 publications receiving 1546 citations. Previous affiliations of Dimitar Gavrilov include University of California, San Francisco.

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Journal ArticleDOI

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

David M.S. McHugh, +245 more
- 01 Mar 2011 - 
TL;DR: 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.
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Reduction of the false-positive rate in newborn screening by implementation of MS/MS-based second-tier tests: The Mayo Clinic experience (2004–2007)

TL;DR: Second-tier tests are developed to reduce false-positive results in the screening for congenital adrenal hyperplasia, tyrosinaemia type I, methylmalonic acidaemias, homocystinuria, and maple syrup urine disease.
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Combined newborn screening for succinylacetone, amino acids, and acylcarnitines in dried blood spots.

TL;DR: The inclusion of SUAC analysis into routine analysis of AC and AA allows for rapid and cost-effective screening for TYR 1 with no tangible risk of false-negative results.
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Determination of Total Homocysteine, Methylmalonic Acid, and 2-Methylcitric Acid in Dried Blood Spots by Tandem Mass Spectrometry

TL;DR: Application of this assay reduced the false-positive rate and improved the positive predictive value of NBS for conditions associated with abnormal propionylcarnitine and methionine concentrations.
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Enhanced interpretation of newborn screening results without analyte cutoff values

Gregg Marquardt, +126 more
- 29 Jun 2012 - 
TL;DR: Application of this computational approach to raw data is independent from single analyte cutoff values and has been a major contributing factor to the sustained achievement of a false-positive rate below 0.1% and a positive predictive value above 60%.