bei Google ScholarTitelangaben
Neugebauer, Ute ; Trenkmann, Sabine ; Bocklitz, Thomas ; Schmerler, Diana ; Kiehntopf, Michael ; Popp, Jürgen:
Fast differentiation of SIRS and sepsis from blood plasma of ICU patients using Raman spectroscopy.
In: Journal of Biophotonics.
Bd. 7
(2014)
Heft 3-4
.
- S. 232-240.
ISSN 1864-0648
DOI: https://doi.org/10.1002/jbio.201400010
Abstract
Currently, there is no biomarker that can reliable distinguish between infectious and non-infectious systemic inflammatory response syndrome (SIRS). However, such a biomarker would be of utmost importance for early identification and stratification of patients at risk to initiate timely and appropriate antibiotic treatment.
Within this proof of principle study, the high potential of Raman spectroscopy for the fast differentiation of non-infectious SIRS and sepsis is demonstrated. Blood plasma collected from 70 patients from the intensive care unit (31 patients with sepsis and 39 patients classified with SIRS without infection) was analyzed by means of Raman spectroscopy. A PCA-LDA based classification model was trained with Raman spectra from test samples and yielded for sepsis a sensitivity of 1.0 and specificity of 0.82. These results have been confirmed with an independent dataset (prediction accuracy 80%).
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Eingestellt am: | 15 Mai 2023 13:16 |
| Letzte Änderung: | 15 Mai 2023 13:16 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76351 |