• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Funding
  • Research Data
  • Organizations
  • Researchers
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Outcome prediction in pediatric fever in neutropenia: Development of clinical decision rules and external validation of published rules based on data from the prospective multicenter SPOG 2015 FN definition study.
 

Outcome prediction in pediatric fever in neutropenia: Development of clinical decision rules and external validation of published rules based on data from the prospective multicenter SPOG 2015 FN definition study.

Options
  • Details
BORIS DOI
10.48350/185190
Date of Publication
2023
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Contributor
Santschi, Marina
Universitätsklinik für Kinderheilkunde
Ammann, Roland
Universitätsklinik für Kinderheilkunde
Agyeman, Philipp Kwame Abayieorcid-logo
Universitätsklinik für Kinderheilkunde
Ansari, Marc
Bodmer, Nicole
Brack, Eva Katharinaorcid-logo
Universitätsklinik für Kinderheilkunde
König, Christaorcid-logo
Universitätsklinik für Kinderheilkunde
Subject(s)

600 - Technology::610...

Series
PLoS ONE
ISSN or ISBN (if monograph)
1932-6203
Publisher
Public Library of Science
Language
English
Publisher DOI
10.1371/journal.pone.0287233
PubMed ID
37531403
Description
BACKGROUND

Fever in neutropenia (FN) remains a serious complication of childhood cancer therapy. Clinical decision rules (CDRs) are recommended to help distinguish between children at high and low risk of severe infection. The aim of this analysis was to develop new CDRs for three different outcomes and to externally validate published CDRs.

PROCEDURE

Children undergoing chemotherapy for cancer were observed in a prospective multicenter study. CDRs predicting low from high risk infection regarding three outcomes (bacteremia, serious medical complications (SMC), safety relevant events (SRE)) were developed from multivariable regression models. Their predictive performance was assessed by internal cross-validation. Published CDRs suitable for validation were identified by literature search. Parameters of predictive performance were compared to assess reproducibility.

RESULTS

In 158 patients recruited between April 2016 and August 2018, 360 FN episodes were recorded, including 56 (16%) with bacteremia, 30 (8%) with SMC and 72 (20%) with SRE. The CDRs for bacteremia and SRE used four characteristics (type of malignancy, severely reduced general condition, leucocyte count <0.3 G/L, bone marrow involvement), the CDR for SMC two characteristics (severely reduced general condition and platelet count <50 G/L). Eleven published CDRs were analyzed. Six CDRs showed reproducibility, but only one in both sensitivity and specificity.

CONCLUSIONS

This analysis developed CDRs predicting bacteremia, SMC or SRE at presentation with FN. In addition, it identified six published CDRs that show some reproducibility. Validation of CDRs is fundamental to find the best balance between sensitivity and specificity, and will help to further improve management of FN.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/169058
Show full item
File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
journal.pone.0287233.pdftextAdobe PDF1.02 MBAttribution (CC BY 4.0)publishedOpen
BORIS Portal
Bern Open Repository and Information System
Build: 960e9e [21.08. 13:49]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo