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External validation of the Michigan PICC catheter–associated bloodstream infections score (MPC score) for predicting the risk of peripherally inserted central catheter–associated bloodstream infections: A single-center study in Japan

Published online by Cambridge University Press:  20 December 2021

Hirotaka Sakai ,
Mitsunaga Iwata  and
Teruhiko Terasawa Open the ORCID record for Teruhiko Terasawa [Opens in a new window]
Hirotaka Sakai
Affiliation:
Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
Mitsunaga Iwata
Affiliation:
Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
Teruhiko Terasawa*
Affiliation:
Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
*
Author for correspondence: Teruhiko Terasawa, E-mail: terasawa@fujita-hu.ac.jp
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Abstract

The Michigan peripherally inserted central catheter–associated bloodstream infection score (MPC score) had been developed for hospitalized medical patients but had not been externally validated. A retrospective analysis of a clinically heterogeneous case-mix in a university hospital cohort in Japan failed to validate its originally reported good performance.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 44 , Issue 3 , March 2023 , pp. 480 - 483
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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References

Chopra, V, Anand, S, Krein, SL, Chenoweth, C, Saint, S. Bloodstream infection, venous thrombosis, and peripherally inserted central catheters: reappraising the evidence. Am J Med 2012;125:733–741.CrossRefGoogle ScholarPubMed
Rubin, DS, Apfelbaum, JL, Tung, A. Trends in central venous catheter insertions by anesthesia providers: an analysis of the medicare physician supplier procedure summary from 2007 to 2016. Anesth Analg 2020;130:1026–1034.CrossRefGoogle ScholarPubMed
Herc, E, Patel, P, Washer, LL, Conlon, A, Flanders, SA, Chopra, V. A model to predict central-line-associated bloodstream infection among patients with peripherally inserted central catheters: the MPC score. Infect Control Hosp Epidemiol 2017;38:1155–1166.CrossRefGoogle Scholar
National Healthcare Safety Network (NHSN). Bloodstream infection (BSI) events. Centers for Disease Control and Prevention website. https://www.cdc.gov/nhsn/pdfs/pscmanual/4psc_clabscurrent.pdf. Published Jan 2021. Accessed August 19, 2021.Google Scholar
Royston, P, Altman, DG. External validation of a Cox prognostic model: principles and methods. BMC Med Res Methodol 2013;13:33.CrossRefGoogle ScholarPubMed
Vickers, AJ, Elkin, EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 2006;26:565–574.CrossRefGoogle ScholarPubMed
Steyerberg, EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York: Springer International; 2019.CrossRefGoogle Scholar
Riley, RD, van der Windt, D, Croft, P, Moons, KGM. Prognosis Research in Healthcare: Concepts, Methods, and Impact. New York: Oxford Universty Press; 2019.CrossRefGoogle Scholar
Collins, GS, Ogundimu, EO, Altman, DG. Sample size considerations for the external validation of a multivariable prognostic model: a resampling study. Stat Med 2016;35:214–226.CrossRefGoogle Scholar
Debray, TP, Vergouwe, Y, Koffijberg, H, Nieboer, D, Steyerberg, EW, Moons, KG. A new framework to enhance the interpretation of external validation studies of clinical prediction models. J Clin Epidemiol 2015;68:279–289.CrossRefGoogle ScholarPubMed
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