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Sepsis biomarkers for early diagnosis of bacteremia in emergency department

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J INFECTION DEVELOPING COUNTRIES
DOI: 10.3855/jidc.17221

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Key words; sepsis; bacteremia; biomarkers; emergency department; early diagnosis

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This study compared the diagnostic values of individual and composite biomarkers in predicting bacteremia in adults. The results showed that combined biomarkers, especially combined 2, had the best predictive performance and could be used as a diagnostic tool for bacteremia before culture results are available.
Introduction: We compared the diagnostic values of individual and composite biomarkers used in the prediction of bacteremia in adult Methodology: First-hour blood levels of C- reactive protein, procalcitonin, interleukin-6, lactate, lipopolysaccharide-binding protein and white blood cell count were collected from a 30-person control group and 47 adult patients. Patients included in this study were admitted to the emergency department on suspicion of sepsis. We categorized patients according to presence/absence of sepsis and bacteremia. Our control group was categorized as S-B -, septic patients with bacteremia were S+B+, and septic patients without bacteremia were S+B-. Results: All biomarkers showed a statistically significant elevation when S+B- and S+B+ groups were compared with the S-B-. When S+B+ group was compared with the S+B- group only procalcitonin and lactate levels had statistically significant elevation (p < 0.005). Regression analysis demonstrated that lactate and procalcitonin were independently associated with having bacteremia in the state of sepsis and HosmerLemeshow score was 0.772. The areas under the curve (AUC) values of biomarkers procalcitonin, lactate, C-reactive protein, combined 1 (procalcitonin+ lactate), and combined 2 (procalcitonin + lactate + C-reactive protein) were 0.773, 0.744, 0.523, 0.806, and 0.829 respectively. Conclusions: Combination of tests such as combined 1 or combined 2 were highly predictive of bacteremia in adult septic patients. Combined 2 demonstrated the best predictive performance and could be utilized as a tool to assist diagnosis of bacteremia before culture results are available.

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