Literature DB >> 28701418

Laboratory Workflow Analysis of Culture of Periprosthetic Tissues in Blood Culture Bottles.

Trisha N Peel1,2, John A Sedarski3, Brenda L Dylla1, Samantha K Shannon1, Fazlollaah Amirahmadi3, John G Hughes1, Allen C Cheng2,4, Robin Patel5,6.   

Abstract

Culture of periprosthetic tissue specimens in blood culture bottles is more sensitive than conventional techniques, but the impact on laboratory workflow has yet to be addressed. Herein, we examined the impact of culture of periprosthetic tissues in blood culture bottles on laboratory workflow and cost. The workflow was process mapped, decision tree models were constructed using probabilities of positive and negative cultures drawn from our published study (T. N. Peel, B. L. Dylla, J. G. Hughes, D. T. Lynch, K. E. Greenwood-Quaintance, A. C. Cheng, J. N. Mandrekar, and R. Patel, mBio 7:e01776-15, 2016, https://doi.org/10.1128/mBio.01776-15), and the processing times and resource costs from the laboratory staff time viewpoint were used to compare periprosthetic tissues culture processes using conventional techniques with culture in blood culture bottles. Sensitivity analysis was performed using various rates of positive cultures. Annualized labor savings were estimated based on salary costs from the U.S. Labor Bureau for Laboratory staff. The model demonstrated a 60.1% reduction in mean total staff time with the adoption of tissue inoculation into blood culture bottles compared to conventional techniques (mean ± standard deviation, 30.7 ± 27.6 versus 77.0 ± 35.3 h per month, respectively; P < 0.001). The estimated annualized labor cost savings of culture using blood culture bottles was $10,876.83 (±$337.16). Sensitivity analysis was performed using various rates of culture positivity (5 to 50%). Culture in blood culture bottles was cost-effective, based on the estimated labor cost savings of $2,132.71 for each percent increase in test accuracy. In conclusion, culture of periprosthetic tissue in blood culture bottles is not only more accurate than but is also cost-saving compared to conventional culture methods.
Copyright © 2017 American Society for Microbiology.

Keywords:  diagnosis; laboratory costs; laboratory workflow; prosthetic joint infection; semiautomated

Mesh:

Year:  2017        PMID: 28701418      PMCID: PMC5648717          DOI: 10.1128/JCM.00652-17

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


  17 in total

1.  Future clinical and economic impact of revision total hip and knee arthroplasty.

Authors:  Steven M Kurtz; Kevin L Ong; Jordana Schmier; Fionna Mowat; Khaled Saleh; Eva Dybvik; Johan Kärrholm; Göran Garellick; Leif I Havelin; Ove Furnes; Henrik Malchau; Edmund Lau
Journal:  J Bone Joint Surg Am       Date:  2007-10       Impact factor: 5.284

2.  Comparison of the BACTEC blood culture system versus conventional methods for culture of normally sterile body fluids.

Authors:  Emel Sesli Cetin; Selçuk Kaya; Mustafa Demirci; Buket Cicioglu Aridogan
Journal:  Adv Ther       Date:  2007 Nov-Dec       Impact factor: 3.845

3.  Optimal Periprosthetic Tissue Specimen Number for Diagnosis of Prosthetic Joint Infection.

Authors:  Trisha N Peel; Tim Spelman; Brenda L Dylla; John G Hughes; Kerryl E Greenwood-Quaintance; Allen C Cheng; Jayawant N Mandrekar; Robin Patel
Journal:  J Clin Microbiol       Date:  2016-12-28       Impact factor: 5.948

4.  Adoption of lean principles in a high-volume molecular diagnostic microbiology laboratory.

Authors:  P Shawn Mitchell; Jayawant N Mandrekar; Joseph D C Yao
Journal:  J Clin Microbiol       Date:  2014-05-14       Impact factor: 5.948

5.  Impact of the economic downturn on total joint replacement demand in the United States: updated projections to 2021.

Authors:  Steven M Kurtz; Kevin L Ong; Edmund Lau; Kevin J Bozic
Journal:  J Bone Joint Surg Am       Date:  2014-04-16       Impact factor: 5.284

6.  Multicenter clinical evaluation of a continuous monitoring blood culture system using fluorescent-sensor technology (BACTEC 9240).

Authors:  F S Nolte; J M Williams; R C Jerris; J A Morello; C D Leitch; S Matushek; L D Schwabe; F Dorigan; F E Kocka
Journal:  J Clin Microbiol       Date:  1993-03       Impact factor: 5.948

7.  Prospective evaluation of criteria for microbiological diagnosis of prosthetic-joint infection at revision arthroplasty. The OSIRIS Collaborative Study Group.

Authors:  B L Atkins; N Athanasou; J J Deeks; D W Crook; H Simpson; T E Peto; P McLardy-Smith; A R Berendt
Journal:  J Clin Microbiol       Date:  1998-10       Impact factor: 5.948

Review 8.  Prosthetic joint infection.

Authors:  Aaron J Tande; Robin Patel
Journal:  Clin Microbiol Rev       Date:  2014-04       Impact factor: 26.132

Review 9.  Modern clinical microbiology: new challenges and solutions.

Authors:  Pierre-Edouard Fournier; Michel Drancourt; Philippe Colson; Jean-Marc Rolain; Bernard La Scola; Didier Raoult
Journal:  Nat Rev Microbiol       Date:  2013-08       Impact factor: 60.633

10.  Improved Diagnosis of Prosthetic Joint Infection by Culturing Periprosthetic Tissue Specimens in Blood Culture Bottles.

Authors:  Trisha N Peel; Brenda L Dylla; John G Hughes; David T Lynch; Kerryl E Greenwood-Quaintance; Allen C Cheng; Jayawant N Mandrekar; Robin Patel
Journal:  mBio       Date:  2016-01-05       Impact factor: 7.867

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  8 in total

1.  First case of periprosthetic joint infection due to Clostridioides difficile in China.

Authors:  Yang Song; Hong Yi Shao; Xiang Cheng; Yu Guo
Journal:  BMC Infect Dis       Date:  2021-05-21       Impact factor: 3.090

2.  Detection of Clinical Cutibacterium acnes Isolates in Different Becton Dickinson Blood Culture Vials.

Authors:  R J Rentenaar; S M Kusen; G M A Riemens-van Zetten; M S M van Mourik
Journal:  J Clin Microbiol       Date:  2017-12-26       Impact factor: 5.948

3.  Comparison of Diagnostic Accuracy of Periprosthetic Tissue Culture in Blood Culture Bottles to That of Prosthesis Sonication Fluid Culture for Diagnosis of Prosthetic Joint Infection (PJI) by Use of Bayesian Latent Class Modeling and IDSA PJI Criteria for Classification.

Authors:  Qun Yan; Melissa J Karau; Kerryl E Greenwood-Quaintance; Jayawant N Mandrekar; Douglas R Osmon; Matthew P Abdel; Robin Patel
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

4.  Differential Contributions of Specimen Types, Culturing, and 16S rRNA Sequencing in Diagnosis of Prosthetic Joint Infections.

Authors:  Lone Heimann Larsen; Vesal Khalid; Yijuan Xu; Trine Rolighed Thomsen; Henrik C Schønheyder
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

5.  The Journey of Cultures Taken During Revision Joint Arthroplasty: Preanalytical Phase.

Authors:  Kier M Blevins; Karan Goswami; Javad Parvizi
Journal:  J Bone Jt Infect       Date:  2019-05-21

6.  Clinical Outcomes of Culture-Negative and Culture-Positive Periprosthetic Joint Infection: Similar Success Rate, Different Incidence of Complications.

Authors:  Zhiyang Xu; Changyu Huang; Yiming Lin; Yongfa Chen; Xinyu Fang; Zida Huang; Chaofan Zhang; Zhenzhen Zhang; Wenming Zhang
Journal:  Orthop Surg       Date:  2022-06-09       Impact factor: 2.279

7.  Cost-benefit analysis of antibiofilm microbiological techniques for peri-prosthetic joint infection diagnosis.

Authors:  Carlo L Romanò; Maria Teresa Trentinaglia; Elena De Vecchi; Nicola Logoluso; David A George; Ilaria Morelli; Lorenzo Drago
Journal:  BMC Infect Dis       Date:  2018-04-02       Impact factor: 3.090

Review 8.  Diagnostic Methods for Prosthetic Joint Infection in Korea.

Authors:  Kyung Hwa Park; Robin Patel
Journal:  Infect Chemother       Date:  2018-09
  8 in total

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