Journals / Turkish Journal of Veterinary and Animal Sciences / 2020 / Cilt: 44 - Sayı: 3

Statistical analysis of the relationship between mortality and nosocomial factors in patients with septicemia and the importance of Pseudomonas aeruginosa

Pages
573–580
Publication Date
2020-06-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

P. aeruginosa is an important pathogen that contributes to increased risks of mortality and zoonotic transmission among patients with sepsis.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The ongoing evolution of sepsis as a condition constitutes a global health concern and necessitates continuous monitoring and investigation of incidence rates, mortality factors, and disease patterns.
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Key Findings & Data:Continuous variables are represented as means and standard deviations, whereas binary variables are represented as percentages and frequency values.
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Conclusion & Impact:P. aeruginosa is an important pathogen that contributes to increased risks of mortality and zoonotic transmission among patients with sepsis.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Septicemia · Pseudomonas aeruginosa · zoonotic transmission

Abstract

The ongoing evolution of sepsis as a condition constitutes a global health concern and necessitates continuous monitoring and investigation of incidence rates, mortality factors, and disease patterns. This study sought to elucidate the frequency of bacterial cultures in patients with septicemia at our hospital and identify the factors influencing mortality. Zoonotic risk factors with reference to the literature were also taken into account.Independent variables of all patients diagnosed with sepsis were retrospectively screened to reveal factors affecting mortality. Incomplete or unclear data were not included. Continuous variables are represented as means and standard deviations, whereas binary variables are represented as percentages and frequency values. The distribution was evaluated using the Kolmogorov?Smirnov test. Separately, the Student's t-test or Mann-Whitney U test was used to compare differences for continuous variables between independent groups according to distribution status. Dichotomous variables were evaluated using the chi-squared or Fisher's exact test. Significant results found during univariate analysis were reevaluated using linear and binary logistic regression. Neither the length of hospital stay nor patient age was statistically significant, for mortality. Among dichotomous variables, sex also did not impact the mortality rate. Meanwhile, Salmonella, Shigella, and Pseudomonas aeruginosa infections were found to cause mortality. During the final statistical analysis using multiple logistic regression, only P. aeruginosa was a factor influencing the mortality rate. P. aeruginosa is an important pathogen that contributes to increased risks of mortality and zoonotic transmission among patients with sepsis.

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Cite This Article

DÜLGER, D. (2020). Statistical analysis of the relationship between mortality and nosocomial factors in patients with septicemia and the importance of Pseudomonas aeruginosa. Turkish Journal of Veterinary and Animal Sciences, Cilt: 44 - Sayı: 3, 573–580. https://ajindex.com/articles/114949

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