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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sleep-disordered breathing is a risk factor for delirium after cardiac surgery: a prospective cohort study
|
|---|---|
| Published in |
Critical Care, September 2014
|
| DOI | 10.1186/s13054-014-0477-1 |
| Pubmed ID | |
| Authors |
Jens Roggenbach, Marvin Klamann, Rebecca von Haken, Thomas Bruckner, Matthias Karck, Stefan Hofer |
| Abstract |
IntroductionDelirium is a frequent complication after cardiac surgery. Although various risk factors for postoperative delirium have been identified, the relationship between nocturnal breathing disorders and delirium has not yet been elucidated. This study evaluated the relationship between sleep-disordered breathing (SDB) and postoperative delirium in cardiac surgery patients without a previous diagnosis of obstructive sleep apnea.MethodsIn this prospective cohort study, 92 patients undergoing elective cardiac surgery with extracorporeal circulation were evaluated for both SDB and postoperative delirium. Polygraphic recordings were used to calculate the apnea-hypopnea index (AHI; mean number of apneas and hypopneas per hour recorded) of all patients preoperatively. Delirium was assessed during the first four postoperative days using the Confusion Assessment Method. Clinical differences between individuals with and without postoperative delirium were determined with univariate analysis. The relationship between postoperative delirium and those covariates that were associated with delirium in univiariate analysis was determined by multivariate logistic regression model.ResultsThe median overall preoperative AHI was 18.3 (interquartile range, 8.7 to 32.8). Delirium was diagnosed in 44 patients. The median AHI differed significantly between patients with and without postoperative delirium (28 versus 13; P¿=¿0.001). A preoperative AHI of 19 or higher was associated with an almost six-fold increased risk of postoperative delirium (odds ratio, 6.4; 95% confidence interval, 2.6 to 15.4; P <0.001). Multivariate logistic regression analysis showed that preoperative AHI, age, smoking, and blood transfusion were independently associated with postoperative delirium.ConclusionPreoperative SDB (for example, undiagnosed obstructive sleep apnea) were strongly associated with postoperative delirium, and may be a risk factor for postoperative delirium. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 9% |
| Mexico | 1 | 9% |
| Norway | 1 | 9% |
| Brazil | 1 | 9% |
| United Kingdom | 1 | 9% |
| Japan | 1 | 9% |
| Colombia | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 9 | 12% |
| Student > Doctoral Student | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 59% |
| Nursing and Health Professions | 7 | 9% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 16 | 21% |
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 11 May 2023.
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
#52,918
of 250,094 outputs
Outputs of similar age from Critical Care
#39
of 112 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 250,094 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.