Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications

The predictive model developed in this study for the occurrence of delirium in ICU patients has been validated, demonstrating high predictive efficacy and offering significant clinical early warning guidance.

Authors

Institutions

Publication Details

Journal
International Journal of General Medicine
Published
2025-07-01
DOI
https://doi.org/10.2147/ijgm.s526749
Citations
1
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
1.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications

Zilong Qiu, Wenhao Qu, G. Zhang, Weisong Zhang et al.
1 citations
International Journal of General Medicine
Intensive Care Unit Cognitive Disorders
1.55
article

Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications

Zilong Qiu, Wenhao Qu, G. Zhang, Weisong Zhang, Xia Li, Xuan Sun, Tao Wang
article en
1 citations

Abstract

The predictive model developed in this study for the occurrence of delirium in ICU patients has been validated, demonstrating high predictive efficacy and offering significant clinical early warning guidance.

International Journal of General MedicineVol. Volume 18
Nantong University (CN), Yancheng Third People's Hospital (CN)
Openalex Percentile: Top 18%
Intensive Care Unit Cognitive Disorders
1.55
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.