Detection of infections by computerized capture of peaks in longitudinally measured C-reactive protein levels-Reference-Cited by-同舟云学术

Detection of infections by computerized capture of peaks in longitudinally measured C-reactive protein levels

Published:2023-08 Issue:15 Volume:17 Page:635-642
ISSN:1752-0363
Container-title:Biomarkers in Medicine
language:en
Short-container-title:Biomarkers in Medicine

Author:

Garvik Olav Sivertsen¹^ORCID,Póvoa Pedro¹²³^ORCID,Vinholt Pernille Just⁴^ORCID,Nielsen Stig Lønberg⁵^ORCID,Jensen Thøger Gorm⁶^ORCID,Frederiksen Henrik⁷^ORCID,Chen Ming⁸^ORCID,Dessau Ram Benny⁹¹⁰^ORCID,Coia John Eugenio¹¹^ORCID,Møller Jens Kjølseth¹²¹⁰^ORCID,Gradel Kim Oren¹^ORCID

Affiliation:

1. Research Unit of Clinical Epidemiology, Institute of Clinical Research, University of Southern Denmark and Center for Clinical Epidemiology, Odense University Hospital, Kløvervænget 30, Entrance 216, Ground Floor, Odense C, 5000, Denmark

2. NOVA Medical School, Comprehensive Health Research Center, New University of Lisbon, Campo Mártires da Pátria 130, Lisbon, 1169-056, Portugal

3. Department of Intensive Care, São Francisco Xavier Hospital, Centro Hospitalar de Lisboa Ocidental, Estrada do Forte do Alto do Duque, Lisbon, 1449-005, Portugal

4. Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Sdr. Boulevard 29, Entrance 40, Odense C, 5000, Denmark

5. Department of Infectious Diseases, Odense University Hospital and Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Kløvervænget 4, Odense C, 5000, Denmark

6. Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, University of Southern Denmark, JB Winsløws Vej 21, Second Floor, Odense C, 5000, Denmark

7. Department of Hematology, Odense University Hospital and Research Unit of Hematology, Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, Entrance 112, 12th Floor, Odense C, 5000, Denmark

8. Department of Clinical Microbiology, Hospital of Southern Jutland, Kresten Philipsens Vej 15, Aabenraa, 6200, Denmark

9. Department of Clinical Microbiology, Zealand University Hospital, Ingemannsvej 46, Slagelse, 4200, Denmark

10. Department of Regional Health Research, University of Southern Denmark

11. Department of Clinical Microbiology, Hospital South West Jutland and Department of Regional Health Research, University of Southern Denmark, Finsensgade 35, Esbjerg, 6700, Denmark

12. Department of Clinical Microbiology, Hospital Lillebaelt, Beriderbakken 4, Vejle, 7100, Denmark

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.

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

Link

https://www.futuremedicine.com/doi/pdf/10.2217/bmm-2023-0419

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