Literature DB >> 12467773

Quality control in nucleic acid testing--where do we stand?

Elizabeth Valentine-Thon1.   

Abstract

Quality control has been playing an increasingly important role in the implementation of nucleic acid amplification techniques (NATs) for clinical diagnosis since the introduction of these methods in the early 1990s. Initial multicenter studies involving hepatitis B virus (HBV), hepatitis C virus (HCV), Mycobacterium tuberculosis, and human immunodeficiency virus type 1 (HIV-1) revealed serious problems in specificity (false-positive rates of ca. 40%) and sensitivity, large variations in quantitative results, and a plethora of units (largely not comparable between assays). The problem areas identified included the need for standardized reagents and common units, contamination control mechanisms, inhibition control mechanisms, genotype-independent detection and quantitation, facilitated nucleic acid isolation procedures, clinically relevant dynamic ranges, and internal run controls. Progress made in each of these areas will be discussed. In addition to the above-mentioned problem areas, the value of external quality control of existing and evolving NATs was recognized. To this end, the European Union Quality Control Concerted Action for Nucleic Acid Amplification in Diagnostic Virology was established in May 1998. During its three-and-a-half years of existence, a total of 14 proficiency panels containing 8-13 well-characterized, simulated clinical samples of various viral loads and genotypes were prepared for herpesviruses (herpes simplex virus, human cytomegalovirus), blood-borne viruses (HBV, HCV, HIV-1), enteroviruses, and Chlamydia trachomatis, distributed to up to 20 different countries, and tested by up to 97 different laboratories. The results show dramatic improvement in specificity (false-positive rates <3% for most panels), presumably due to a generally greater expertise of participating laboratories, more frequent use of enzymatic or mechanical contamination control mechanisms, and increased utilization of standardized reagents (commercial kits). However, considerable problems with sensitivity remain (false-negative rates up to 50%), reflecting the high detection limits of some commercial viral load kits still on the market as well as inadequate standardization of quantitation controls between assay systems. In conclusion, although considerable progress has been made, quality control of NATs in clinical diagnosis remains an ongoing challenge.

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Year:  2002        PMID: 12467773     DOI: 10.1016/s1386-6532(02)00196-8

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  17 in total

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Authors:  M J Espy; J R Uhl; L M Sloan; S P Buckwalter; M F Jones; E A Vetter; J D C Yao; N L Wengenack; J E Rosenblatt; F R Cockerill; T F Smith
Journal:  Clin Microbiol Rev       Date:  2006-01       Impact factor: 26.132

2.  External quality assessment for Avian Influenza A (H7N9) Virus detection using armored RNA.

Authors:  Yu Sun; Tingting Jia; Yanli Sun; Yanxi Han; Lunan Wang; Rui Zhang; Kuo Zhang; Guigao Lin; Jiehong Xie; Jinming Li
Journal:  J Clin Microbiol       Date:  2013-10-02       Impact factor: 5.948

3.  Hepatitis B and hepatitis C viral infections in patients with chronic lymphocytic leukemia.

Authors:  Gerald Y Minuk; Betty Lerner; Spencer B Gibson; James B Johnston; Julia Uhanova; Anton Andonov; Jun Wu
Journal:  Can J Gastroenterol Hepatol       Date:  2014-03

4.  Design and validation of an H5 TaqMan real-time one-step reverse transcription-PCR and confirmatory assays for diagnosis and verification of influenza A virus H5 infections in humans.

Authors:  Joanna S Ellis; Joanne W Smith; Sharleen Braham; Matthew Lock; Katrina Barlow; Maria C Zambon
Journal:  J Clin Microbiol       Date:  2007-03-14       Impact factor: 5.948

5.  Marked variability of BK virus load measurement using quantitative real-time PCR among commonly used assays.

Authors:  Noah G Hoffman; Linda Cook; Ederlyn E Atienza; Ajit P Limaye; Keith R Jerome
Journal:  J Clin Microbiol       Date:  2008-06-18       Impact factor: 5.948

6.  Performance of the Cobas AmpliPrep/Cobas TaqMan real-time PCR assay for hepatitis B virus DNA quantification.

Authors:  Stéphane Chevaliez; Magali Bouvier-Alias; Syria Laperche; Jean-Michel Pawlotsky
Journal:  J Clin Microbiol       Date:  2008-02-20       Impact factor: 5.948

7.  Ring test evaluation of the detection of influenza A virus in swine oral fluids by real-time reverse-transcription polymerase chain reaction and virus isolation.

Authors:  Christa K Goodell; Jianqiang Zhang; Erin Strait; Karen Harmon; Devi Patnayak; Tracy Otterson; Marie Culhane; Jane Christopher-Hennings; Travis Clement; Pamela Leslie-Steen; Richard Hesse; Joe Anderson; Kevin Skarbek; Amy Vincent; Pravina Kitikoon; Sabrina Swenson; Melinda Jenkins-Moore; Jodi McGill; Rolf Rauh; William Nelson; Catherine O'Connell; Rohan Shah; Chong Wang; Rodger Main; Jeffrey J Zimmerman
Journal:  Can J Vet Res       Date:  2016-01       Impact factor: 1.310

8.  Multiplex PCR to diagnose bloodstream infections in patients admitted from the emergency department with sepsis.

Authors:  Ephraim L Tsalik; Daphne Jones; Bradly Nicholson; Lynette Waring; Oliver Liesenfeld; Lawrence P Park; Seth W Glickman; Lauren B Caram; Raymond J Langley; Jennifer C van Velkinburgh; Charles B Cairns; Emanuel P Rivers; Ronny M Otero; Stephen F Kingsmore; Tahaniyat Lalani; Vance G Fowler; Christopher W Woods
Journal:  J Clin Microbiol       Date:  2009-10-21       Impact factor: 5.948

9.  Fully automated, internally controlled quantification of hepatitis B Virus DNA by real-time PCR by use of the MagNA Pure LC and LightCycler instruments.

Authors:  Victoria Leb; Markus Stöcher; Elizabeth Valentine-Thon; Gabriele Hölzl; Harald Kessler; Herbert Stekel; Jörg Berg
Journal:  J Clin Microbiol       Date:  2004-02       Impact factor: 5.948

10.  Quality control of direct molecular diagnostics for methicillin-resistant Staphylococcus aureus.

Authors:  Alex van Belkum; Hubert G M Niesters; William G MacKay; Willem B van Leeuwen
Journal:  J Clin Microbiol       Date:  2007-06-20       Impact factor: 5.948

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