Detailed Information on Publication Record
2023
Patient Stratification for Antibiotic Prescriptions Based on the Bound-Free Phase Detection Immunoassay of C-Reactive Protein in Serum Samples
JOHANNSEN, Benita, Desiree BAUMGARTNER, Michal KARPÍŠEK, David STEJSKAL, Noemie BOILLAT-BLANCO et. al.Basic information
Original name
Patient Stratification for Antibiotic Prescriptions Based on the Bound-Free Phase Detection Immunoassay of C-Reactive Protein in Serum Samples
Authors
JOHANNSEN, Benita, Desiree BAUMGARTNER, Michal KARPÍŠEK (203 Czech Republic, belonging to the institution), David STEJSKAL, Noemie BOILLAT-BLANCO, Jose KNUESLI, Marcus PANNING, Nils PAUST, Roland ZENGERLE and Konstantinos MITSAKAKIS (guarantor)
Edition
BIOSENSORS-BASEL, Basel, MDPI, 2023, 2079-6374
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30104 Pharmacology and pharmacy
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 5.400 in 2022
RIV identification code
RIV/00216224:14160/23:00133242
Organization unit
Faculty of Pharmacy
UT WoS
001132725700001
Keywords in English
immunoassay; bound-free phase; C-reactive protein; clinical samples; diagnostics; biomarkers; patient stratification; respiratory tract infections
Změněno: 5/4/2024 07:46, Mgr. Daniela Černá
Abstract
V originále
C-reactive protein is a well-studied host response biomarker, whose diagnostic performance depends on its accurate classification into concentration zones defined by clinical scenario-specific cutoff values. We validated a newly developed, bead-based, bound-free phase detection immunoassay (BFPD-IA) versus a commercial CE-IVD enzyme-linked immunosorbent assay (ELISA) kit and a commercial CE-IVD immunoturbidimetric assay (ITA) kit. The latter was performed on a fully automated DPC Konelab 60i clinical analyzer used in routine diagnosis. We classified 53 samples into concentration zones derived from four different sets of cutoff values that are related to antibiotic prescription scenarios in the case of respiratory tract infections. The agreements between the methods were ELISA/ITA at 87.7%, ELISA/BFPD-IA at 87.3%, and ITA/-BFPD-IA at 93.9%, reaching 98-99% in all cases when considering the calculated relative combined uncertainty of the single measurement of each sample. In a subgroup of 37 samples, which were analyzed for absolute concentration quantification, the scatter plot slopes' correlations were as follows: ELISA/ITA 1.15, R-2 = 0.97; BFPD-IA/ELISA 1.12, R-2 = 0.95; BFPD-IA/ITA 0.95, R-2 = 0.93. These very good performances and the agreement between BFPD-IA and ITA (routine diagnostic), combined with BFPD-IA's functional advantages over ITA (and ELISA)-such as quick time to result (similar to 20 min), reduced consumed reagents (only one assay buffer and no washing), few and easy steps, and compatibility with nucleic-acid-amplification instruments-render it a potential approach for a reliable, cost-efficient, evidence-based point-of-care diagnostic test for guiding antibiotic prescriptions.