Daily prediction of next-day disease severity in critically ill patients: A prospective cohort study

Daily prediction models can predict next-day disease severity in overall, respiration, cardiovascular, and renal function amongst ICU patients. They offer clinical benefits within a range of probability thresholds and could support decision-making for ICU physicians.

Authors

Institutions

Publication Details

Journal
Australian Critical Care
Published
2025-04-25
DOI
https://doi.org/10.1016/j.aucc.2025.101230
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Daily prediction of next-day disease severity in critically ill patients: A prospective cohort study

Harold Snieder, Èmese Robin Hélène Heijkoop, Gerton A. Lunter, Frederik Keus et al.
Australian Critical Care
Sepsis Diagnosis and Treatment
article

Daily prediction of next-day disease severity in critically ill patients: A prospective cohort study

Harold Snieder, Èmese Robin Hélène Heijkoop, Gerton A. Lunter, Frederik Keus, Wenbo Zhang, Eline G. M. Cox, Peter H.J. van der Voort, Manon Klaver
article en

Abstract

Daily prediction models can predict next-day disease severity in overall, respiration, cardiovascular, and renal function amongst ICU patients. They offer clinical benefits within a range of probability thresholds and could support decision-making for ICU physicians.

Australian Critical CareVol. 38(4)
University Medical Center Groningen (NL)
China Scholarship Council
Openalex Percentile: Top 87%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.