Methodology

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

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

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Pedro Póvoa

https://orcid.org/0000-0002-7069-7304

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

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

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Pernille Just Vinholt

https://orcid.org/0000-0002-2035-0169

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

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Stig Lønberg Nielsen

https://orcid.org/0000-0002-7780-7131

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

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Thøger Gorm Jensen

https://orcid.org/0000-0002-3889-0016

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

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Henrik Frederiksen

https://orcid.org/0000-0001-8905-0220

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

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Ming Chen

https://orcid.org/0000-0002-5393-1103

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

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Ram Benny Dessau

https://orcid.org/0000-0002-1497-6309

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

Department of Regional Health Research, University of Southern Denmark

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John Eugenio Coia

https://orcid.org/0000-0002-4966-8453

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

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Jens Kjølseth Møller

https://orcid.org/0000-0002-5547-5498

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

Department of Regional Health Research, University of Southern Denmark

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Kim Oren Gradel

*Author for correspondence: Tel.: +45 2115 8085;

E-mail Address: kim.gradel@rsyd.dk

https://orcid.org/0000-0002-5611-2031

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Published Online:14 Nov 2023https://doi.org/10.2217/bmm-2023-0419

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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.

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Vol. 17, No. 15

Supplemental Materials

Metrics

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History

Received 4 July 2023

Accepted 22 September 2023

Published online 14 November 2023

Published in print August 2023

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Keywords

Supplementary data

To view the supplementary data that accompany this paper please visit the journal website at: www.futuremedicine.com/doi/suppl/10.2217/bmm-2023-0419

Author contributions

OS Garvik, P Póvoa and KO Gradel conceptualized the study. OS Garvik implemented the study. OS Garvik and KO Gradel wrote the manuscript. All authors contributed to the manuscript review and editing process.

Acknowledgments

The authors thank the Open Patient Data Explorative Network, Odense University Hospital, Region of Southern Denmark (www.sdu.dk/ki/open) for help with data management and storage on its research server.

Financial disclosure

The authors have no financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending or royalties.

Competing interests disclosure

P Póvoa receives honoraria for lectures from and serves on advisory boards for Abionic, Merck Sharp & Dohme, Sanofi, Gilead, Mundipharma and Pfizer. The authors have no other competing interests or relevant affiliations with any organization or entity with an interest in or conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Writing disclosure

No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. In addition, for investigations involving human subjects, informed consent has been obtained from the participants involved.

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