↓ Skip to main content

PRospective Observational POLIsh Study on post-stroke delirium (PROPOLIS): methodology of hospital-based cohort study on delirium prevalence, predictors and diagnostic tools

Overview of attention for article published in BMC Neurology, June 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
143 Mendeley
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
PRospective Observational POLIsh Study on post-stroke delirium (PROPOLIS): methodology of hospital-based cohort study on delirium prevalence, predictors and diagnostic tools
Published in
BMC Neurology, June 2015
DOI 10.1186/s12883-015-0351-z
Pubmed ID
Authors

Elzbieta Klimiec, Tomasz Dziedzic, Katarzyna Kowalska, Aleksandra Szyper, Joanna Pera, Paulina Potoczek, Agnieszka Slowik, Aleksandra Klimkowicz-Mrowiec

Abstract

Between 10 % to 48 % of patients develop delirium in acute phase of stroke. Delirium determinants and its association with other neuropsychiatric disturbances in stroke are poorly understood. The wildly accepted predictive model of post-stroke delirium is still lacking. This is a prospective, observational, single-center study in patients with acute phase of stroke. We aim to include 750 patients ≥18 years with acute stroke or transient ischemic attack admitted to the stroke unit within 48 hours after stroke onset. The goals of the study are: 1) to determine frequency of delirium and subsyndromal delirium in Polish stroke patients within 7 days after admission to the hospital; 2) to determine factors associated with incidence, severity and duration of delirium and subsyndromal delirium and to create a predictive model for post-stroke delirium; 3) to determine the association between delirium and its cognitive, psychiatric, behavioral and functional short and long-term consequences; 4) to validate scales used for delirium diagnosis in stroke population. Patients will be screened for delirium on daily basis. The diagnosis of delirium will be based on DSM-V criteria. Abbreviated version of Confusion Assessment Method and Confusion Assessment Method for the Intensive Care Unit will be used for delirium and sub-delirium screening. Severity of delirium symptoms will be assessed by Delirium Rating Scale Revised 98 and Cognitive Test for Delirium. Patients who survive will undergo extensive neuropsychological, neuropsychiatric and functional assessment 3 and 12 months after the stroke. This study is designed to provide information on clinical manifestation, diagnostic methods and determinants of delirium spectrum disorders in acute stroke phase and their short and long-term consequences. Collected information allow us to create a predictive model for post-stroke delirium.

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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 13%
Student > Master 18 13%
Researcher 13 9%
Student > Doctoral Student 13 9%
Student > Ph. D. Student 12 8%
Other 29 20%
Unknown 39 27%
Readers by discipline Count As %
Medicine and Dentistry 48 34%
Psychology 16 11%
Nursing and Health Professions 12 8%
Neuroscience 6 4%
Social Sciences 3 2%
Other 14 10%
Unknown 44 31%
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 15 April 2016.
All research outputs
#18,417,643
of 22,815,414 outputs
Outputs from BMC Neurology
#1,888
of 2,435 outputs
Outputs of similar age
#190,099
of 264,783 outputs
Outputs of similar age from BMC Neurology
#29
of 39 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 12th percentile – i.e., 12% 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 264,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.