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

C-reactive protein acute myeloid leukemia automatic capture bloodstream infection inflammation

Journal

Biomarkers in medicine
ISSN: 1752-0371
Titre abrégé: Biomark Med
Pays: England
ID NLM: 101312535

Informations de publication

Date de publication:
Aug 2023
Historique:
pubmed: 14 11 2023
medline: 14 11 2023
entrez: 14 11 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37962480
doi: 10.2217/bmm-2023-0419
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

635-642

Auteurs

Olav Sivertsen Garvik (OS)

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.

Pedro Póvoa (P)

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.
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.

Pernille Just Vinholt (PJ)

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

Stig Lønberg Nielsen (SL)

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.

Thøger Gorm Jensen (TG)

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.

Henrik Frederiksen (H)

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.

Ming Chen (M)

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

Ram Benny Dessau (RB)

Department of Clinical Microbiology, Zealand University Hospital, Ingemannsvej 46, Slagelse, 4200, Denmark.
Department of Regional Health Research, University of Southern Denmark.

John Eugenio Coia (JE)

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

Jens Kjølseth Møller (JK)

Department of Clinical Microbiology, Hospital Lillebaelt, Beriderbakken 4, Vejle, 7100, Denmark.
Department of Regional Health Research, University of Southern Denmark.

Kim Oren Gradel (KO)

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.

Classifications MeSH