Detection of Infections by Computerized Capture of Peaks in Longitudinally Measured C-reactive Protein Levels
Saved in:
| Title: | Detection of Infections by Computerized Capture of Peaks in Longitudinally Measured C-reactive Protein Levels |
|---|---|
| Authors: | Olav Sivertsen Garvik, Pedro Póvoa, Pernille Just Vinholt, Stig Lønberg Nielsen, Thøger Gorm Jensen, Henrik Frederiksen, Ming Chen, Ram Benny Dessau, John Eugenio Coia, Jens Kjølseth Møller, Kim Oren Gradel |
| Source: | Biomarkers in Medicine. 17:635-642 |
| Publisher Information: | Informa UK Limited, 2023. |
| Publication Year: | 2023 |
| Subject Terms: | Myeloid, Adult, Leukemia, C-Reactive Protein/metabolism, Acute/diagnosis, bloodstream infection, Sepsis/diagnosis, Bacteremia, acute myeloid leukemia, 3. Good health, C-reactive protein, Leukemia, Myeloid, Acute, C-Reactive Protein, inflammation, Sepsis, Humans, automatic capture, Biomarkers, Retrospective Studies |
| Description: | We developed four algorithms for the automatic capture of C-reactive protein (CRP) peaks in 296 adult patients with acute myeloid leukemia who had bloodstream infection (BSI) episodes, negative blood cultures (BCs) or possible infections where no BCs were performed. The algorithms detected CRP peaks for 418-446 of the 586 documented BSI episodes (71.3-76.1%) and 2714-3118 of the 4382 negative BCs (61.9-71.2%). The four algorithms captured 382-789 CRP peaks in which there were neither BSI episodes nor negative BCs. We conclude that automatic capture of CRP peaks is a tool for the monitoring of BSI episodes and possibly other infections in patients with acute myeloid leukemia. |
| Document Type: | Article |
| Language: | English |
| ISSN: | 1752-0371 1752-0363 |
| DOI: | 10.2217/bmm-2023-0419 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/37962480 |
| Accession Number: | edsair.doi.dedup.....1f301e07b30940271e4b122bbed22e58 |
| Database: | OpenAIRE |
| Abstract: | We developed four algorithms for the automatic capture of C-reactive protein (CRP) peaks in 296 adult patients with acute myeloid leukemia who had bloodstream infection (BSI) episodes, negative blood cultures (BCs) or possible infections where no BCs were performed. The algorithms detected CRP peaks for 418-446 of the 586 documented BSI episodes (71.3-76.1%) and 2714-3118 of the 4382 negative BCs (61.9-71.2%). The four algorithms captured 382-789 CRP peaks in which there were neither BSI episodes nor negative BCs. We conclude that automatic capture of CRP peaks is a tool for the monitoring of BSI episodes and possibly other infections in patients with acute myeloid leukemia. |
|---|---|
| ISSN: | 17520371 17520363 |
| DOI: | 10.2217/bmm-2023-0419 |
Full Text Finder
Nájsť tento článok vo Web of Science