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Predisposing factors for delirium in the surgical intensive care unit

Overview of attention for article published in Critical Care, September 2001
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

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186 Mendeley
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Title
Predisposing factors for delirium in the surgical intensive care unit
Published in
Critical Care, September 2001
DOI 10.1186/cc1044
Pubmed ID
Authors

Mustafa Aldemir, Sakir Özen, Ismail H Kara, Aytekin Sir, Bilsel Baç

Abstract

Delirium is a sign of deterioration in the homeostasis and physical status of the patient. The objective of our study was to investigate the predisposing factors for delirium in a surgical intensive care unit (ICU) setting. Between January 1996 and 1997, we screened prospectively 818 patients who were consecutive applicants to the general surgery service of Dicle-University Hospital and had been kept in the ICU for delirium. All patients were hospitalized either for elective or emergency services and were treated either with medication and/or surgery. Suspected cases of delirium were identified during daily interviews. The patients who had changes in the status of consciousness (n = 150) were consulted with an experienced consultation-liaison psychiatrist. The diagnosis of delirium was based on Diagnostic and Statistical Manual of Mental Disorders (revised third edition) criteria and established through psychiatric interviews. Patients were divided into two groups: the "delirious group" (DG) (n = 90) and the "non-delirious group" (NDG) (n = 728). During delirium, all abnormal findings related to physical conditions, laboratory features, and additional diseases were evaluated as probable risk factors of delirium. Of 818 patients, 386 (47.2%) were male and 432 (52.8%) were female. Delirium developed in 90 of 818 patients (11%). The cases of delirium in the DG were more frequent among male patients (63.3%) than female patients (36.7%) (chi2 = 10.5, P = 0.001). The mean age was 48.9 +/- 18.1 and 38.5 +/- 13.8 years in the DG and NDG, respectively (t = 6.4, P = 0.000). Frequency of delirium is higher in the patients admitted to the Emergency Department (chi2 = 43.6, P = 0.000). The rate of postoperative delirium was 10.9%, but there was no statistical difference related to operations between the DG and NDG (chi2 = 0.13, P = 0.71). The length of stay in the ICU was 10.7 +/- 13.9 and 5.6 +/- 2.9 days in the DG and NDG, respectively (t = 0.11, P = 0.000). The length of stay in hospital was 15.6 +/- 16.5 and 8.1 +/- 2.7 days in the DG and NDG, respectively (t = 11.08, P = 0.000). Logistic regression was used to explore the associations between probable risk factors and delirium. Delirium was not correlated with conditions such as hypertension, hypo/hyperpotassemia, hypernatremia, hypoalbuminemia, hypo/hyperglycemia, cardiac disease, emergency admission, age, length of stay in the ICU, length of stay in hospital, and gender. It was determined that conditions such as respiratory diseases (odds ratio [OR] = 30.6, 95% confidence interval [CI] = 9.5-98.4), infections (OR = 18.0, 95% CI = 3.5-90.8), fever (OR = 14.3, 95% CI = 4.1-49.3), anemia (OR = 5.4, 95% CI = 1.6-17.8), hypotension (OR = 19.8, 95% CI = 5.3-74.3), hypocalcemia (OR = 30.9, 95% CI = 5.8-163.2), hyponatremia (OR = 8.2, 95% CI = 2.5-26.4), azotemia (OR = 4.6, 95% CI = 1.4-15.6), elevated liver enzymes (OR = 6.3, 95% CI = 1.2-32.2), hyperamylasemia (OR = 43.4, 95% CI = 4.2-442.7), hyperbilirubinemia (OR = 8.7, 95% CI = 2.0-37.7) and metabolic acidosis (OR = 4.5, 95% CI = 1.1-17.7) were predicting factors for delirium. We determined that conditions such as respiratory diseases, infections, fever, anemia, hypotension, hypocalcemia, hyponatremia, azotemia, elevated liver enzymes, hyperamylasemia, hyperbilirubinemia and metabolic acidosis were predicting factors for delirium.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Australia 1 <1%
India 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 181 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 13%
Student > Postgraduate 20 11%
Other 18 10%
Student > Bachelor 18 10%
Professor > Associate Professor 16 9%
Other 53 28%
Unknown 37 20%
Readers by discipline Count As %
Medicine and Dentistry 94 51%
Nursing and Health Professions 18 10%
Psychology 6 3%
Social Sciences 4 2%
Neuroscience 4 2%
Other 22 12%
Unknown 38 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 December 2016.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Critical Care
#3,509
of 6,554 outputs
Outputs of similar age
#7,280
of 42,141 outputs
Outputs of similar age from Critical Care
#2
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 42,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.