Procalcitonin levels among patients with fever secondary to severe intracerebral infection. A cross-sectional study.

Sao Paulo Med J

MD. Professor, Department of Anesthesia and Reanimation, Fırat Üniversitesi Tıp Fakültesi, Elazig, Turkey.

Published: March 2020

Background: Making the differential diagnosis between central fever and infectious fever is critically important among intracerebral hemorrhage patients followed up in intensive care units (ICUs). Serum procalcitonin (PCT) has been found to be a promising biomarker for the initial diagnosis of infection, even before culturing results.

Objectives: To investigate the relationship between PCT and both fever etiologies and C-reactive protein (CRP) levels among critically ill patients with suspected intracerebral hemorrhage.

Design And Setting: Cross-sectional study in a public university hospital in Elazig, Turkey.

Methods: ICU patients diagnosed with intracerebral hemorrhage and normal procalcitonin levels were included in this study. From clinical assessments and cultures, they were classified as presenting either infectious or central fever. The sensitivity and specificity of PCT and CRP for predicting infection were calculated using a receiver operating characteristic (ROC) curve.

Results: There were 98 ICU patients with diagnoses of intracerebral hemorrhage. The median (interquartile range) PCT levels of patients with infectious and central fever were 4 (0.9-11) and 0.1 (0.1-0.4) ng/ml, respectively, with a statistically significant intergroup difference (P < 0.001). The areas under the ROC curve for predicting infectious or central fever PCT and CRP were 0.958 (P < 0.001) and 0.816 (P < 0.001), respectively. A statistically significant positive correlation was detected between PCT and CRP levels in patients with infectious fever (rho: 0.461; P = 0.003), but not in patients with central fever.

Conclusions: PCT can possibly be used as a biomarker to differentiate between infectious and central fever among ICU patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744013PMC
http://dx.doi.org/10.1590/1516-3180.2018.0458220719DOI Listing

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