Incidence and predictors of delirium among the intensive care unit patients at Jimma Medical Center, Southwest Ethiopia

Objective: Delirium is characterized by impaired attention and awareness, accompanied by cognitive deficits. It develops rapidly and poses a considerable burden on healthcare systems. Patients in the intensive care unit (ICU) are particularly vulnerable to developing delirium. This study aims to determine the incidence and predictors of delirium among ICU patients at Jimma Medical Center in southwest Ethiopia in 2023. . Methods: A prospective observational cohort study was conducted on 403 patients aged≥18 years admitted to emergency, surgical, and medical ICUs at Jimma Medical Center in southwest Ethiopia. Patients were assessed twice daily for delirium using the Richmond agitation sedation scale (RASS) and confusion assessment method (CAM). The association between independent variables and delirium incidence was analyzed using Cox proportional hazards (PH) regression. A univariate Cox PH model screened variables at a 0.25 significance level, followed by a multivariable Cox PH model for significant variables. Variables with a P-value≤0.05 were considered significantly associated with delirium incidence among ICU patients. Results: The findings of this study revealed that the overall occurrence of delirium among critically ill ICU patients was 118 (29.3%) (95% CI: 25%,34%), and the rest, 70.7% of the participants, were censored (95% CI: 66,75). The incidence rate of delirium among intensive care unit patients was 21.2 (95% CI: 17.8,25.4) per 1000 person-days of observation. Chronic obstructive pulmonary disease (AHR: 1.94; 95% CI: 1.23,3.56), stroke (AHR: 1.8; 95%CI: 1.98,3.73), Oxygen Saturation less than 90% (AHR:1.61; 95% CI: 1.11,2.34) and Obesity (AHR: 0.35; 95%CI: 0.13,0.84) were independent predictors of delirium among ICU patients. conclusion: This study found that, with an incidence rate of 21.2 occurrences per 1000 person-days of observation, delirium greatly affects the outcome of intensive care unit patients in the Jimma Medical Center. The study identifies several factors that independently predict the occurrence of delirium in ICU patients, including obesity, stroke, low oxygen saturation levels, and COPD. Interestingly, our findings suggest that admission for heart failure may have a protective effect against delirium. Therefore, health professionals ought to give special attention to patients with identified predictors.

Authors

Institutions

Publication Details

Journal
Frontiers in Emergency Medicine
Published
2024-11-26
DOI
https://doi.org/10.18502/fem.v8i4.17082
Citations
1
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incidence and predictors of delirium among the intensive care unit patients at Jimma Medical Center, Southwest Ethiopia

Abdata Workina, Fikadu Abebe, Edmialem Getahun Mesfin, Taye Mezgebu Ashine et al.
1 citations
Frontiers in Emergency Medicine
Intensive Care Unit Cognitive Disorders
0.42
article

Incidence and predictors of delirium among the intensive care unit patients at Jimma Medical Center, Southwest Ethiopia

Abdata Workina, Fikadu Abebe, Edmialem Getahun Mesfin, Taye Mezgebu Ashine, Asaminew Habtamu, Be-ede Lemma, Feyissa Tolessa, Adebabay Wondimagegn, Achalu Kelbessa
article en
1 citations

Abstract

Objective: Delirium is characterized by impaired attention and awareness, accompanied by cognitive deficits. It develops rapidly and poses a considerable burden on healthcare systems. Patients in the intensive care unit (ICU) are particularly vulnerable to developing delirium. This study aims to determine the incidence and predictors of delirium among ICU patients at Jimma Medical Center in southwest Ethiopia in 2023. . Methods: A prospective observational cohort study was conducted on 403 patients aged≥18 years admitted to emergency, surgical, and medical ICUs at Jimma Medical Center in southwest Ethiopia. Patients were assessed twice daily for delirium using the Richmond agitation sedation scale (RASS) and confusion assessment method (CAM). The association between independent variables and delirium incidence was analyzed using Cox proportional hazards (PH) regression. A univariate Cox PH model screened variables at a 0.25 significance level, followed by a multivariable Cox PH model for significant variables. Variables with a P-value≤0.05 were considered significantly associated with delirium incidence among ICU patients. Results: The findings of this study revealed that the overall occurrence of delirium among critically ill ICU patients was 118 (29.3%) (95% CI: 25%,34%), and the rest, 70.7% of the participants, were censored (95% CI: 66,75). The incidence rate of delirium among intensive care unit patients was 21.2 (95% CI: 17.8,25.4) per 1000 person-days of observation. Chronic obstructive pulmonary disease (AHR: 1.94; 95% CI: 1.23,3.56), stroke (AHR: 1.8; 95%CI: 1.98,3.73), Oxygen Saturation less than 90% (AHR:1.61; 95% CI: 1.11,2.34) and Obesity (AHR: 0.35; 95%CI: 0.13,0.84) were independent predictors of delirium among ICU patients. conclusion: This study found that, with an incidence rate of 21.2 occurrences per 1000 person-days of observation, delirium greatly affects the outcome of intensive care unit patients in the Jimma Medical Center. The study identifies several factors that independently predict the occurrence of delirium in ICU patients, including obesity, stroke, low oxygen saturation levels, and COPD. Interestingly, our findings suggest that admission for heart failure may have a protective effect against delirium. Therefore, health professionals ought to give special attention to patients with identified predictors.

Frontiers in Emergency Medicine
Jimma University (ET), St. Paul's Hospital Millennium Medical College (ET), Wachemo University
Good health and well-being
Openalex Percentile: Top 33%
Intensive Care Unit Cognitive Disorders
0.42
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.