ASSOCIATION OF AGE, GENDER, AND PLATELET INDICES WITH BLOOD CULTURES AND ISOLATED BACTERIA IN SEPSIS
DOI:
https://doi.org/10.55629/pakjpathol.v33i1.682Abstract
Objectives: Present study explored the association of sepsis with patients’ age, sex, and platelet indices [Platelet Count (PC), Mean platelet volume (MPV), MPV/PC)] with blood cultures and isolated bacteria.
Material and Methods: Adult patients (18-70 years old) with clinically diagnosed “sepsis” and had at least one blood culture and complete blood count performed during January to September 2020 were included in this cross-sectional study conducted at a tertiary care hospital in Pakistan. Data was collected regarding patients' age, sex, platelet indices, blood culture and bacterial profile.
Results: In 150 patients (79.3% females and 20.7 % males), Staphylococcus aureus was the most frequently isolated pathogen (52%) followed by Pseudomonas aeruginosa (12%). Chi-square test failed to reveal any association of gender (χ2 0.33, p 0.6); age (χ2 3.17, p 0.20); PC (χ2 0.1, p 0.9); MPV (χ2 2.36, p 0.30); MPV/PC (χ2 0.02; p 0.9) with blood culture results. No association was found between gender (χ2 0.68, p 0.4); age (χ2 2.99, p 0.84); PC (χ2 0.8, p 0.8); MPV (χ2 0.98, p 0.75); and MPV/PC (χ2 0.27; p 0.6) with isolated bacteria. Binary logistic regression showed that culture results and bacterial profile outcome cannot be predicted based on gender, age, PC, MPV or MPV/PC (p 0.50, 0.95, 0.83, 0.12, 0.84 and p 0.16, 0.12, 0.28, 0.43, 0.39 respectively).
Conclusion: The predominant bacteria in our subjects was Staphylococcus aureus, followed by Pseudomonas aeruginosa. Blood culture results and bacterial profile are not associated with and cannot be predicted based on age, gender and platelet indices.
Key Words: Blood culture, Mean platelet volume, Pathogens, Platelet count, Sepsis.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Aamna Latif, Rabia Latif, Uzma Ishaq, Sara Ali Zaidi, Nimra Anwar, Jahanzeb Malik
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Readers may “Share-copy and redistribute the material in any medium or format” and “Adapt-remix, transform, and build upon the material”. The readers must give appropriate credit to the source of the material and indicate if changes were made to the material. Readers may not use the material for commercial purpose. The readers may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.