Development trajectory and risk factors of delirium in ICU patients

Objective To explore the different trajectories and risk factors of delirium in ICU patients, and to provide theoretical basis for delirium management.Methods From March 2023 to December 2023, ICU patients from The First Hospital of Lanzhou University were selected by convenient sampling method. Baseline and delirium assessments were performed at 24 hours (T1) after admission to the ICU using the general data questionnaire, Confusion Assessment Method of Intensive Care Unit (CAM-ICU), and Confusion Assessment Method for the Intensive Care Unit-7 (CAM-ICU-7), Richmond Agitation-Sedation Scale (RASS). Patients who developed delirium were continuously monitored at day 2, 3, 4, and 5 (T2-T5) time points after admission using RASS, CAM-ICU, and CAM-ICU-7. The latent class growth model was used to identify the category of delirium trajectory, and the influencing factors of different categories were analyzed.Results 269 ICU patients were included, of which 126 patients experienced delirium and 102 patients with delirium participated in the whole 5 times of investigation, the incidence of delirium in ICU patients was 42.86%. The potential category growth model showed that the model with 3 subgroups fitted best. The 3 subgroups were named as the persistent delirium group(30.4%), the high-risk declining group(29.4%), and the low-risk rising group(40.2%). The univariate analysis showed that gender, type of sedatives and RASS score at different time points influenced the development trajectory of delirium (P

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.12173/j.issn.1004-5511.202405097
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
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article

Development trajectory and risk factors of delirium in ICU patients

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Development trajectory and risk factors of delirium in ICU patients

article en

Abstract

Objective To explore the different trajectories and risk factors of delirium in ICU patients, and to provide theoretical basis for delirium management.Methods From March 2023 to December 2023, ICU patients from The First Hospital of Lanzhou University were selected by convenient sampling method. Baseline and delirium assessments were performed at 24 hours (T1) after admission to the ICU using the general data questionnaire, Confusion Assessment Method of Intensive Care Unit (CAM-ICU), and Confusion Assessment Method for the Intensive Care Unit-7 (CAM-ICU-7), Richmond Agitation-Sedation Scale (RASS). Patients who developed delirium were continuously monitored at day 2, 3, 4, and 5 (T2-T5) time points after admission using RASS, CAM-ICU, and CAM-ICU-7. The latent class growth model was used to identify the category of delirium trajectory, and the influencing factors of different categories were analyzed.Results 269 ICU patients were included, of which 126 patients experienced delirium and 102 patients with delirium participated in the whole 5 times of investigation, the incidence of delirium in ICU patients was 42.86%. The potential category growth model showed that the model with 3 subgroups fitted best. The 3 subgroups were named as the persistent delirium group(30.4%), the high-risk declining group(29.4%), and the low-risk rising group(40.2%). The univariate analysis showed that gender, type of sedatives and RASS score at different time points influenced the development trajectory of delirium (P

SHILAP Revista de lepidopterología
Openalex Percentile: Top 60%
Mycorrhizal Fungi and Plant Interactions
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