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Delirium in the geriatric unit: proton-pump inhibitors and other risk factors

Overview of attention for article published in Clinical Interventions in Aging, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
18 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
99 Mendeley
Title
Delirium in the geriatric unit: proton-pump inhibitors and other risk factors
Published in
Clinical Interventions in Aging, April 2016
DOI 10.2147/cia.s103349
Pubmed ID
Authors

Jan Szewieczek, Iwona Otremba, Krzysztof Wilczyński

Abstract

Delirium remains a major nosocomial complication of hospitalized elderly. Predictive models for delirium may be useful for identification of high-risk patients for implementation of preventive strategies. Evaluate specific factors for development of delirium in a geriatric ward setting. Prospective cross-sectional study comprised 675 consecutive patients aged 79.2±7.7 years (66% women and 34% men), admitted to the subacute geriatric ward of a multiprofile university hospital after exclusion of 113 patients treated with antipsychotic medication because of behavioral disorders before admission. Comprehensive geriatric assessments including a structured interview, physical examination, geriatric functional assessment, blood sampling, ECG, abdominal ultrasound, chest X-ray, Confusion Assessment Method for diagnosis of delirium, Delirium-O-Meter to assess delirium severity, Richmond Agitation-Sedation Scale to assess sedation or agitation, visual analog scale and Doloplus-2 scale to assess pain level were performed. Multivariate logistic regression analysis revealed five independent factors associated with development of delirium in geriatric inpatients: transfer between hospital wards (odds ratio [OR] =2.78; confidence interval [CI] =1.54-5.01; P=0.001), preexisting dementia (OR =2.29; CI =1.44-3.65; P<0.001), previous delirium incidents (OR =2.23; CI =1.47-3.38; P<0.001), previous fall incidents (OR =1.76; CI =1.17-2.64; P=0.006), and use of proton-pump inhibitors (OR =1.67; CI =1.11-2.53; P=0.014). Transfer between hospital wards, preexisting dementia, previous delirium incidents, previous fall incidents, and use of proton-pump inhibitors are predictive of development of delirium in the geriatric inpatient setting.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 23%
Student > Bachelor 18 18%
Unspecified 15 15%
Student > Doctoral Student 9 9%
Researcher 9 9%
Other 25 25%
Readers by discipline Count As %
Medicine and Dentistry 42 42%
Nursing and Health Professions 24 24%
Unspecified 17 17%
Psychology 4 4%
Social Sciences 2 2%
Other 10 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 October 2018.
All research outputs
#1,426,179
of 13,715,693 outputs
Outputs from Clinical Interventions in Aging
#195
of 1,396 outputs
Outputs of similar age
#37,428
of 262,840 outputs
Outputs of similar age from Clinical Interventions in Aging
#7
of 59 outputs
Altmetric has tracked 13,715,693 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,396 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 85% 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 262,840 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 85% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.