Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/34886
Title: | Sepsis Diagnostics: Intensive Care Scoring Systems Superior to MicroRNA Biomarker Testing |
Author(s): | Schumann, Julia Link, Fabian Krohn, Knut Burgdorff, Anna-Maria Christel, Annett |
Granting Institution: | Martin-Luther-Universität Halle-Wittenberg |
Issue Date: | 2020-09-16 |
Type: | Article |
Language: | English |
Publisher: | Universitäts- und Landesbibliothek Sachsen-Anhalt |
Subjects: | sepsis inflammation biomarker sequential organ failure assessment (SOFA) score miRNA cytokines |
Abstract: | Sepsis represents a serious medical problem accounting for numerous deaths of critically ill patients in intensive care units (ICUs). An early, sensitive, and specific diagnosis is considered a key element for improving the outcome of sepsis patients. In addition to classical laboratory markers, ICU scoring systems and serum miRNAs are discussed as potential sepsis biomarkers. In the present prospective observational study, the suitability of miRNAs in sepsis diagnosis was tested based on proper validated and normalized data (i.e., absolute quantification by means of Droplet Digital PCR (ddPCR)) in direct comparison to classical sepsis markers and ICU scores within the same patient cohort. Therefore, blood samples of septic intensive care patients (n = 12) taken at day of admission at ICU were compared to non-septic intensive care patients (n = 12) and a healthy control group (n = 12). Our analysis indicates that all tested biomarkers have only a moderate informative power and do not allow an unequivocal differentiation between septic and non-septic ICU patients. In conclusion, there is no standalone laboratory parameter that enables a reliable diagnosis of sepsis. miRNAs are not superior to classical parameters in this respect. It seems recommendable to measure multiple parameters and scores and to interpret them with regard to the clinical presentation. |
URI: | https://opendata.uni-halle.de//handle/1981185920/35086 http://dx.doi.org/10.25673/34886 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Original Publication: | 10.3390/diagnostics10090701 |
Appears in Collections: | Medizinische Fakultät MLU |
Files in This Item:
File | Description | Size | Format | |
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published_paper.pdf | 8.57 MB | Adobe PDF | View/Open |