↓ Skip to main content

Post-stroke pneumonia at the stroke unit – a registry based analysis of contributing and protective factors

Overview of attention for article published in BMC Neurology, July 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
88 Mendeley
citeulike
1 CiteULike
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.
Title
Post-stroke pneumonia at the stroke unit – a registry based analysis of contributing and protective factors
Published in
BMC Neurology, July 2016
DOI 10.1186/s12883-016-0627-y
Pubmed ID
Authors

Karl Matz, Leonhard Seyfang, Alexandra Dachenhausen, Yvonne Teuschl, Jaakko Tuomilehto, Michael Brainin, MD for the Austrian Stroke Unit Registry Collaborators

Abstract

To investigate prevalence and risk factors for post stroke pneumonia (PSP) in patients with acute ischemic stroke treated at stroke units (SU). We analysed data from the Austrian Stroke Unit registry concerning admissions from January 2003 to December 2013 and assessed the prevalence of PSP at the stroke unit. Patients with and without PSP were compared in univariate and multivariate models searching for factors associated with the occurrence of PSP at the SU. Three thousand one hundred eleven patients (5.2 %) of 59,558 analysed patients were diagnosed with PSP. While age and stroke severity were non-modifiable factors associated with PSP, modifiable risk factors included chronic alcohol consumption and atrial fibrillation. Patients who developed neurological, cardiac, and other infective complications showed a higher prevalence of PSP, an increased prevalence was also found in connection with the placement of nasogastric tubes or urinary catheters. Female sex, left hemispheric stroke, cryptogenic stroke pathogenesis and additionally, treatment with lipid lowering drugs were factors associated with a lower PSP prevalence. Pneumonia in acute ischemic stroke is associated with a variety of modifiable and unmodifiable factors that allow to identify patients at high risk of developing PSP and to focus on early preventive measures at the SU. Further studies could use the results of this study to explore potential benefits of specific interventions targeted at these factors.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
United Kingdom 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 13%
Student > Master 9 10%
Student > Postgraduate 8 9%
Student > Doctoral Student 8 9%
Student > Bachelor 6 7%
Other 21 24%
Unknown 25 28%
Readers by discipline Count As %
Medicine and Dentistry 25 28%
Neuroscience 14 16%
Nursing and Health Professions 6 7%
Unspecified 4 5%
Psychology 4 5%
Other 4 5%
Unknown 31 35%
Attention Score in Context

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 08 November 2016.
All research outputs
#19,859,542
of 24,406,515 outputs
Outputs from BMC Neurology
#2,019
of 2,592 outputs
Outputs of similar age
#288,327
of 370,448 outputs
Outputs of similar age from BMC Neurology
#50
of 55 outputs
Altmetric has tracked 24,406,515 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,592 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 11th percentile – i.e., 11% 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 370,448 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.