Acta Scientific Microbiology (ISSN: 2581-3226)

Research Article Volume 5 Issue 5

Can Routine Laboratory Biomarkers Predict Bloodstream Infections by Gram-negative Bacteria?

Daniela Dambroso-Altafini1,2, Thatiany C Menegucci3, Bruno Buranello Costa2, Danielle Shinohara1, Sheila AB Nishiyama1, Josmar Mazucheli4 and Maria Cristina Bronharo Tognim1*

1Department of Basic Health Sciences, State University of Maringá, Maringá, Paraná, Brazil

2Maringá University Hospital, State University of Maringá, Maringá, Paraná, Brazil

3Department of Medicine, University Paranaense, Umuarama, Paraná, Brazil

4Department of Statistic, State University of Maringá, Maringá, Paraná, Brazil

*Corresponding Author: Maria Cristina Bronharo Tognim, Department of Basic Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.

Received: March 08, 2022; Published: April 11, 2022

Abstract

Bloodstream infections caused by Gram-negative bacteria (BSI-GN) pose clinical challenges due to their severity and difficulty of treatment. Thus, the present study demonstrated the ability of routine laboratorial biomarkers (RLB) values to detect BSI-GN before the final blood culture (BC) report, including RLB values obtained at the time of BC collection (0h) and also 48 and 24 hours before BC collection from patients who had BSI-GN. We retrospectively analyzed data of 6787 patients who collected BC, admitted in a teaching hospital, in Maringa, Brazil. Correlation between RLB and positive BC was assessed using Student's t test or chi-square test. Values of p ≤ 0.01 or p ≤ 0.05 were considered statistically significant. 320 patients (181 BSI-GN and 139 BSI-GP) over 18 years old was included in the study. We evaluated 49 RLB of which 14 showed statistically significant differences (p ≤ 0.01) at T0h. The intra-abdominal initial infections focus showed OR 2.6 (1.37-4.97); p = 0.003, patients with the urinary tract as the initial infectious focus had an OR 2.0 (1.04-4.4); p = 0.04. We concluded that RLB data, analyzed mainly together with the initial infectious focus data, could predict BSI-GN. These analyses could direct in empirical treatment while the BC result is not available.

Keywords:Blood Culture; Laboratory Biomarkers; Bloodstream Infections; Gram-negative; Gram-positive

References

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Citation

Citation: Maria Cristina Bronharo Tognim., et al. “Can Routine Laboratory Biomarkers Predict Bloodstream Infections by Gram-negative Bacteria?". Acta Scientific Microbiology 5.5 (2022): 57-61.

Copyright

Copyright: © 2022 Maria Cristina Bronharo Tognim., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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