Literature DB >> 24462198

Prediction of blood culture results by measuring procalcitonin levels and other inflammatory biomarkers.

Takao Arai1, Kenichiro Kumasaka2, Katuhiro Nagata2, Taihei Okita2, Taishi Oomura2, Akira Hoshiai2, Masaharu Koyama2, Shoichi Ohta2, Tetsuo Yukioka2.   

Abstract

BACKGROUND: It would be helpful if we could predict positive or negative blood culture results. This study considered the usefulness of measuring procalcitonin (PCT) level and standard clinical biomarkers such as white blood cell (WBC) count, C-reactive protein (CRP) level, and platelet (PLT) count to predict blood culture results.
METHOD: We retrospectively analyzed the data from 422 specimens collected at our emergency center within the preceding 36 consecutive months. Primary component analysis (PCA) was used for detecting the degree of the relational contribution of each of the 4 biomarkers to the blood culture results.
RESULTS: Procalcitonin alone (cut-off value, 0.5 ng/mL) yielded a positive blood culture rate of 34.0%. Procalcitonin plus 3 biomarkers (WBC, CRP, and PLT) analyzed by PCA yielded 45.9% or 35.3% when a case was in the first or fourth quadrant, which was significantly higher than cases in the second or third quadrant. Primary component analysis also revealed that positive blood culture results were mainly affected by primary component 1, to which PCT and PLT (not WBC or CRP) predominantly contribute.
CONCLUSION: Although it is difficult to predict blood culture results, even using 4 biomarkers analyzed by PCA, our new finding that blood culture results are affected not by WBC and CRP, but mainly by PCT and PLT, might help explain the mechanism of sepsis.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24462198     DOI: 10.1016/j.ajem.2013.12.035

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  9 in total

1.  Comparison of serum procalcitonin in respiratory infections and bloodstream infections.

Authors:  Yanhui Zhu; Yulin Yuan; Huayi Huang
Journal:  Int J Clin Exp Med       Date:  2015-11-15

2.  Clinical characteristics and predictors of mortality in patients with candidemia: a six-year retrospective study.

Authors:  Xiaojiong Jia; Congya Li; Ju Cao; Xianan Wu; Liping Zhang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-07-20       Impact factor: 3.267

3.  Procalcitonin is a marker of gram-negative bacteremia in patients with sepsis.

Authors:  Shun Yuan Guo; Yin Zhou; Qing Feng Hu; Jiong Yao; Hong Wang
Journal:  Am J Med Sci       Date:  2015-06       Impact factor: 2.378

Review 4.  A Review of the Value of Procalcitonin as a Marker of Infection.

Authors:  Richard Taylor; Adriana Jones; Steven Kelly; Michael Simpson; Jordan Mabey
Journal:  Cureus       Date:  2017-04-10

5.  Developing Machine-Learning Prediction Algorithm for Bacteremia in Admitted Patients.

Authors:  Ebrahim Mahmoud; Mohammed Al Dhoayan; Mohammad Bosaeed; Sameera Al Johani; Yaseen M Arabi
Journal:  Infect Drug Resist       Date:  2021-02-25       Impact factor: 4.003

6.  Diagnostic Accuracy of Procalcitonin for Differentiating Bacteraemic Gram-Negative Sepsis from Gram-Positive Sepsis.

Authors:  Beliz Bilgili; Murat Haliloğlu; Melek Süzer Aslan; İsmet Sayan; Umut Sabri Kasapoğlu; İsmail Cinel
Journal:  Turk J Anaesthesiol Reanim       Date:  2018-02-01

7.  Diagnostic Accuracy of Procalcitonin for Predicting Blood Culture Results in Patients With Suspected Bloodstream Infection: An Observational Study of 35,343 Consecutive Patients (A STROBE-Compliant Article).

Authors:  Abderrahim Oussalah; Janina Ferrand; Pierre Filhine-Tresarrieu; Nejla Aissa; Isabelle Aimone-Gastin; Fares Namour; Matthieu Garcia; Alain Lozniewski; Jean-Louis Guéant
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.889

8.  Serum procalcitonin as an independent diagnostic markers of bacteremia in febrile patients with hematologic malignancies.

Authors:  Mina Yang; Seung Jun Choi; Jaewoong Lee; Dong Gun Lee; Yoon-Joo Kim; Yeon-Joon Park; Eun-Jee Oh
Journal:  PLoS One       Date:  2019-12-10       Impact factor: 3.240

9.  Can We Reduce Negative Blood Cultures With Clinical Scores and Blood Markers? Results From an Observational Cohort Study.

Authors:  Svenja Laukemann; Nina Kasper; Prasad Kulkarni; Deborah Steiner; Anna Christina Rast; Alexander Kutz; Susan Felder; Sebastian Haubitz; Lukas Faessler; Andreas Huber; Christoph A Fux; Beat Mueller; Philipp Schuetz
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.