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Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes—an international multicentre retrospective studyResearch in context

Authors :
Roelie M. Wösten-van Asperen
Hannah M. la Roi-Teeuw
Rombout BE. van Amstel
Lieuwe DJ. Bos
Wim JE. Tissing
Iolanda Jordan
Christian Dohna-Schwake
Gabriella Bottari
John Pappachan
Roman Crazzolara
Rosanna I. Comoretto
Agniezka Mizia-Malarz
Andrea Moscatelli
María Sánchez-Martín
Jef Willems
Colin M. Rogerson
Tellen D. Bennett
Yuan Luo
Mihir R. Atreya
E.Vincent S. Faustino
Alon Geva
Scott L. Weiss
Luregn J. Schlapbach
L Nelson Sanchez-Pinto
Marina Caballero
Adriana Margarit
Roi Campos
Paula Möller
Carmela Serpe
Angela Amigoni
Maria Damps
Alessia Montaguti
Giacomo Tardini
Juliane Bubeck-Wardenburg
Reid Farris Farris
Mark Hall
Grace Chong
Sareen Shah
Robinder Khemani
Emily Stroup
Source :
EClinicalMedicine, Vol 65, Iss , Pp 102252- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Background: Identifying phenotypes in sepsis patients may enable precision medicine approaches. However, the generalisability of these phenotypes to specific patient populations is unclear. Given that paediatric cancer patients with sepsis have different host response and pathogen profiles and higher mortality rates when compared to non-cancer patients, we determined whether unique, reproducible, and clinically-relevant sepsis phenotypes exist in this specific patient population. Methods: We studied patients with underlying malignancies admitted with sepsis to one of 25 paediatric intensive care units (PICUs) participating in two large, multi-centre, observational cohorts from the European SCOTER study (n = 383 patients; study period between January 1, 2018 and January 1, 2020) and the U.S. Novel Data-Driven Sepsis Phenotypes in Children study (n = 1898 patients; study period between January 1, 2012 and January 1, 2018). We independently used latent class analysis (LCA) in both cohorts to identify phenotypes using demographic, clinical, and laboratory data from the first 24 h of PICU admission. We then tested the association of the phenotypes with clinical outcomes in both cohorts. Findings: LCA identified two distinct phenotypes that were comparable across both cohorts. Phenotype 1 was characterised by lower serum bicarbonate and albumin, markedly increased lactate and hepatic, renal, and coagulation abnormalities when compared to phenotype 2. Patients with phenotype 1 had a higher 90-day mortality (European cohort 29.2% versus 13.4%, U.S. cohort 27.3% versus 11.4%, p

Details

Language :
English
ISSN :
25895370
Volume :
65
Issue :
102252-
Database :
Directory of Open Access Journals
Journal :
EClinicalMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.321a489219864978bfeed9d74886200b
Document Type :
article
Full Text :
https://doi.org/10.1016/j.eclinm.2023.102252