Literature DB >> 20201994

Association between the neutrophil myeloperoxidase index and subsets of bacterial infections.

K Yonezawa1, O Horie, A Yoshioka, S Matsuki, T Tenjin, Y Tsukamura, M Yoneda, K Shibata, Y Koike, T Nomura, M Yokoyama, N Urahama, Mitsuhiro Ito.   

Abstract

The mean myeloperoxidase index (MPXI) is calculated during the routine complete blood count performed using the autoanalyzer ADVIA120/2120. The pattern of changes in the neutrophil myeloperoxidase levels in patients with specific infectious diseases was analyzed by assessing the MPXI levels. In patients with bacterial sepsis, identified by positive blood-culture tests, with (n = 29) and without (n = 51) systemic inflammatory response syndrome, the mean MPXI significantly reduced to -3.18 and -2.06, respectively. In contrast, among patients with nontuberculous nonseptic bacterial infections (n = 40), the mean MPXI significantly elevated to 5.51, while tuberculosis patients (n = 37) and patients with viral infection (n = 60) showed an unchanged MPXI (mean values, -0.46 and -1.06, respectively). Among the parameters of inflammation, only the C-reactive protein values showed a weak correlation with the MPXI levels.
[Conclusion] These results indicate that MPXI is correlated with some specific infectious states, i.e. MPXI is low in bacterial sepsis and high in nontuberculous nonseptic bacterial infections. MPXI appears to be an independent and useful biomarker for the diagnosis and follow-up of infectious diseases, especially when the MPXI values are obtained at regular intervals during the disease courses of the patients.
© 2010 Blackwell Publishing Ltd.

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Year:  2010        PMID: 20201994     DOI: 10.1111/j.1751-553X.2010.01227.x

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  7 in total

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3.  The Use of Delta Neutrophil Index and Myeloperoxidase Index for Predicting Acute Complicated Appendicitis in Children.

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Journal:  PLoS One       Date:  2016-02-09       Impact factor: 3.240

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Authors:  Yong Sung Cha; Kang Hyun Lee; Jong Wook Lee; Eun Hee Choi; Hyung Il Kim; Oh Hyun Kim; Kyoung Chul Cha; Hyun Kim; Sung Oh Hwang
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

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Authors:  Shaniya Ahmad; Prithvi Singh; Archana Sharma; Shweta Arora; Nitesh Shriwash; Arshad Husain Rahmani; Saleh A Almatroodi; Kailash Manda; Ravins Dohare; Mansoor Ali Syed
Journal:  Genes (Basel)       Date:  2019-12-04       Impact factor: 4.096

7.  Identification of the robust predictor for sepsis based on clustering analysis.

Authors:  Jae Yeon Jang; Gilsung Yoo; Taesic Lee; Young Uh; Juwon Kim
Journal:  Sci Rep       Date:  2022-02-11       Impact factor: 4.379

  7 in total

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