| Title |
The major risk factors for delirium in a clinical setting
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, July 2016
|
| DOI | 10.2147/ndt.s112017 |
| Pubmed ID | |
| Authors |
Harin Kim, Seockhoon Chung, Yeon Ho Joo, Jung Sun Lee |
| Abstract |
We aimed to determine the major risk factors for the development of delirium in patients at a single general hospital by comparison with a control group. We reviewed the medical records of 260 delirium patients and 77 control patients. We investigated age, sex, and risk factors for delirium in the total delirium group (n=260), the delirium medical subgroup (n=142), and the delirium surgical subgroup (n=118). Logistic regression analysis adjusting for age and sex was performed to identify the odds ratio. The mean age and the percentage of males were significantly higher in the delirium group compared with the control group (68.9 vs 54.3 years and 70% vs 41.6%, respectively). Risk factors for the delirium group were lower plasma albumin, hypertension, mechanical ventilation, and antipsychotic drug use. Plasma sodium level and hypertension were important risk factors for the delirium medical subgroup. Stroke history, hypertension, ICU care, and medication were important risk factors for the delirium surgical subgroup. Lower plasma albumin, hypertension, mechanical ventilation, and antipsychotic drug use are important risk factors for delirium. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 25% |
| Student > Postgraduate | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Researcher | 6 | 8% |
| Other | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 43% |
| Nursing and Health Professions | 6 | 8% |
| Agricultural and Biological Sciences | 4 | 5% |
| Psychology | 4 | 5% |
| Neuroscience | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2016.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,902
of 3,132 outputs
Outputs of similar age
#237,605
of 367,266 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#78
of 107 outputs
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