Literature DB >> 22116152

Factors contributing to variability of quantitative viral PCR results in proficiency testing samples: a multivariate analysis.

R T Hayden1, X Yan, M T Wick, A B Rodriguez, X Xiong, C C Ginocchio, M J Mitchell, A M Caliendo.   

Abstract

While viral load testing has gained widespread acceptance, a primary limitation remains the variability of results, particularly between different laboratories. While some work has demonstrated the importance of standardized quantitative control material in reducing this variability, little has been done to explore other important factors in the molecular amplification process. Results of 185 laboratories enrolled in the College of American Pathologists (CAP) 2009 viral load proficiency testing (PT) survey (VLS) were examined. This included 165 labs (89.2%) testing for cytomegalovirus (CMV), 99 (53.5%) for Epstein-Barr virus (EBV), and 64 (34.6%) for BK virus (BKV). At the time of PT, laboratories were asked a series of questions to characterize their testing methods. The responses to these questions were correlated to mean viral load (MVL) and result variability (RV). Contribution of individual factors to RV was estimated through analysis of variance (ANOVA) modeling and the use of backward selection of factors to fit those models. Selection of the quantitative calibrator, commercially prepared primers and probes, and amplification target gene were found most prominently associated with changes in MVL or RV for one or more of the viruses studied. Commercially prepared primers and probes and amplification target gene made the largest contribution to overall variability. Factors contributing to MVL and RV differed among viruses, as did relative contribution of each factor to overall variability. The marked variability seen in clinical quantitative viral load results is associated with multiple aspects of molecular testing design and performance. The reduction of such variability will require a multifaceted approach to improve the accuracy, reliability, and clinical utility of these important tests.

Entities:  

Mesh:

Year:  2011        PMID: 22116152      PMCID: PMC3264161          DOI: 10.1128/JCM.01287-11

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  19 in total

1.  Establishment of the first international standard for nucleic acid amplification technology (NAT) assays for HCV RNA. WHO Collaborative Study Group.

Authors:  J Saldanha; N Lelie; A Heath
Journal:  Vox Sang       Date:  1999       Impact factor: 2.144

2.  Standardisation of nucleic acid amplification assays used in clinical diagnostics: a report of the first meeting of the SoGAT Clinical Diagnostics Working Group.

Authors:  Jacqueline F Fryer; Philip D Minor
Journal:  J Clin Virol       Date:  2008-12-25       Impact factor: 3.168

3.  Interlaboratory comparison of epstein-barr virus viral load assays.

Authors:  J K Preiksaitis; X L Pang; J D Fox; J M Fenton; A M Caliendo; G G Miller
Journal:  Am J Transplant       Date:  2009-02       Impact factor: 8.086

4.  Interlaboratory comparison of cytomegalovirus viral load assays.

Authors:  X L Pang; J D Fox; J M Fenton; G G Miller; A M Caliendo; J K Preiksaitis
Journal:  Am J Transplant       Date:  2009-02       Impact factor: 8.086

5.  Comparison of commercial real-time PCR assays for quantification of Epstein-Barr virus DNA.

Authors:  Guillermo Ruiz; Pilar Peña; Fernando de Ory; Juan Emilio Echevarría
Journal:  J Clin Microbiol       Date:  2005-05       Impact factor: 5.948

6.  Multicenter comparison of different real-time PCR assays for quantitative detection of Epstein-Barr virus.

Authors:  R T Hayden; K M Hokanson; S B Pounds; M J Bankowski; S W Belzer; J Carr; D Diorio; M S Forman; Y Joshi; D Hillyard; R L Hodinka; M N Nikiforova; C A Romain; J Stevenson; A Valsamakis; H H Balfour
Journal:  J Clin Microbiol       Date:  2007-11-07       Impact factor: 5.948

7.  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

Review 8.  Development of working reference materials for clinical virology.

Authors:  Jacqueline F Fryer; Sally A Baylis; Anna L Gottlieb; Morag Ferguson; Giuseppe A Vincini; Valerie M Bevan; William F Carman; Philip D Minor
Journal:  J Clin Virol       Date:  2008-09-26       Impact factor: 3.168

9.  Clinical evaluation of the COBAS Ampliprep/COBAS TaqMan for HCV RNA quantitation in comparison with the branched-DNA assay.

Authors:  Fabrizia Pittaluga; Tiziano Allice; Maria Lorena Abate; Alessia Ciancio; Francesco Cerutti; Silvia Varetto; Giuseppe Colucci; Antonina Smedile; Valeria Ghisetti
Journal:  J Med Virol       Date:  2008-02       Impact factor: 2.327

10.  Polyomavirus polymerase chain reaction as a surrogate marker of polyomavirus-associated nephropathy.

Authors:  Helen B Viscount; Albert J Eid; Mark J Espy; Matthew D Griffin; Kristine M Thomsen; William S Harmsen; Raymund R Razonable; Thomas F Smith
Journal:  Transplantation       Date:  2007-08-15       Impact factor: 4.939

View more
  39 in total

1.  Molecular testing for infectious diseases should be done in the clinical microbiology laboratory.

Authors:  Nima Mosammaparast; Alexander J McAdam; Frederick S Nolte
Journal:  J Clin Microbiol       Date:  2012-03-14       Impact factor: 5.948

2.  Multicenter evaluation of a commercial cytomegalovirus quantitative standard: effects of commutability on interlaboratory concordance.

Authors:  R T Hayden; M D Shahbazian; A Valsamakis; J Boonyaratanakornkit; L Cook; X L Pang; J K Preiksaitis; E R Schönbrunner; A M Caliendo
Journal:  J Clin Microbiol       Date:  2013-09-11       Impact factor: 5.948

3.  Risk factors for hemorrhagic cystitis in pediatric allogeneic hematopoietic stem cell transplant recipients.

Authors:  R T Hayden; Z Gu; W Liu; R Lovins; K Kasow; P Woodard; K Srivastava; W Leung
Journal:  Transpl Infect Dis       Date:  2015-04       Impact factor: 2.228

Review 4.  Standardization of Nucleic Acid Tests for Clinical Measurements of Bacteria and Viruses.

Authors:  Jernej Pavšič; Alison S Devonshire; Helen Parkes; Heinz Schimmel; Carole A Foy; Maria Karczmarczyk; Ion Gutiérrez-Aguirre; Isobella Honeyborne; Jim F Huggett; Timothy D McHugh; Mojca Milavec; Heinz Zeichhardt; Jana Žel
Journal:  J Clin Microbiol       Date:  2014-11-12       Impact factor: 5.948

5.  Comparative evaluation of three commercial quantitative cytomegalovirus standards by use of digital and real-time PCR.

Authors:  R T Hayden; Z Gu; S S Sam; Y Sun; L Tang; S Pounds; A M Caliendo
Journal:  J Clin Microbiol       Date:  2015-02-18       Impact factor: 5.948

6.  A Comprehensive Statistical Framework for Determination of Commutability, Accuracy, and Agreement in Clinical DNAemia Assays.

Authors:  L Tang; Y Su; Z Gu; A M Caliendo; S Pounds; R T Hayden
Journal:  J Clin Microbiol       Date:  2019-01-02       Impact factor: 5.948

7.  Clinical Diagnostic Testing for Human Cytomegalovirus Infections.

Authors:  Raymund R Razonable; Naoki Inoue; Swetha G Pinninti; Suresh B Boppana; Tiziana Lazzarotto; Liliana Gabrielli; Giuliana Simonazzi; Philip E Pellett; D Scott Schmid
Journal:  J Infect Dis       Date:  2020-03-05       Impact factor: 5.226

Review 8.  Clinical utility of viral load in management of cytomegalovirus infection after solid organ transplantation.

Authors:  Raymund R Razonable; Randall T Hayden
Journal:  Clin Microbiol Rev       Date:  2013-10       Impact factor: 26.132

9.  Comparison of droplet digital PCR to real-time PCR for quantitative detection of cytomegalovirus.

Authors:  R T Hayden; Z Gu; J Ingersoll; D Abdul-Ali; L Shi; S Pounds; A M Caliendo
Journal:  J Clin Microbiol       Date:  2012-12-05       Impact factor: 5.948

10.  Fully automated quantification of cytomegalovirus (CMV) in whole blood with the new sensitive Abbott RealTime CMV assay in the era of the CMV international standard.

Authors:  Nathalie Schnepf; Catherine Scieux; Matthieu Resche-Riggon; Linda Feghoul; Alienor Xhaard; Sébastien Gallien; Jean-Michel Molina; Gérard Socié; Denis Viglietti; François Simon; Marie-Christine Mazeron; Jérôme Legoff
Journal:  J Clin Microbiol       Date:  2013-04-24       Impact factor: 5.948

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.