You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effect of a fever control protocol-based strategy on ventilator-associated pneumonia in severely brain-injured patients
|
|---|---|
| Published in |
Critical Care, December 2014
|
| DOI | 10.1186/s13054-014-0689-4 |
| Pubmed ID | |
| Authors |
Yoann Launey, Nicolas Nesseler, Audren Le Cousin, Fanny Feuillet, Ronan Garlantezec, Yannick Mallédant, Philippe Seguin |
| Abstract |
IntroductionFever is associated with a poor outcome in severely brain-injured patients, and its control is one of the therapies used in this condition. But, fever suppression may promote infection, and severely brain-injured patients are frequently exposed to infectious diseases, particularly ventilator-associated pneumonia (VAP). Therefore, we designed a study to explore the role of a fever control protocol in VAP development during neuro-intensive care.MethodsAn observational study was performed on severely brain-injured patients hospitalized in a university ICU. The primary goal was to assess whether fever control was a risk factor for VAP in a prospective cohort in which a fever control protocol was applied and in a historical control group. Moreover, the density of VAP incidence was compared between the two groups. The statistical analysis was based on a competing risk model multivariate analysis.ResultsThe study included 189 brain-injured patients (intervention group, n¿=¿98, and historical control group, n¿=¿91). The use of a fever control protocol was an independent risk factor for VAP (hazard ratio 2.73, 95% confidence interval [1.38, 5.38; P¿=¿0.005]). There was a significant increase in the incidence of VAP in patients treated with a fever control protocol (26.1 versus 12.5 VAP cases per 1000 days of mechanical ventilation). In cases in which a fever control protocol was applied for >3 days, we observed a higher rate of VAP in comparison with the rate among patients treated for ¿3 days.ConclusionFever control in brain-injured patients was a major risk factor for VAP occurrence, particularly when applied for >3 days. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 13% |
| United Kingdom | 2 | 13% |
| Greece | 1 | 7% |
| Italy | 1 | 7% |
| Japan | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Other | 7 | 13% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 8 | 15% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 57% |
| Nursing and Health Professions | 3 | 6% |
| Psychology | 3 | 6% |
| Economics, Econometrics and Finance | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 January 2015.
All research outputs
#3,554,951
of 25,371,288 outputs
Outputs from Critical Care
#2,763
of 6,554 outputs
Outputs of similar age
#47,242
of 360,859 outputs
Outputs of similar age from Critical Care
#40
of 126 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th 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 has gotten more attention than average, scoring higher than 57% of its peers.
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 360,859 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 86% of its contemporaries.
We're also able to compare this research output to 126 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 68% of its contemporaries.