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Antipsychotic prescribing patterns during and after critical illness: a prospective cohort study

Overview of attention for article published in Critical Care, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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134 X users
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3 Facebook pages

Citations

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80 Dimensions

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106 Mendeley
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Title
Antipsychotic prescribing patterns during and after critical illness: a prospective cohort study
Published in
Critical Care, November 2016
DOI 10.1186/s13054-016-1557-1
Pubmed ID
Authors

Jason E. Tomichek, Joanna L. Stollings, Pratik P. Pandharipande, Rameela Chandrasekhar, E. Wesley Ely, Timothy D. Girard

Abstract

Antipsychotics are used to treat delirium in the intensive care unit (ICU) despite unproven efficacy. We hypothesized that atypical antipsychotic treatment in the ICU is a risk factor for antipsychotic prescription at discharge, a practice that might increase risk since long-term use is associated with increased mortality. After excluding patients on antipsychotics prior to admission, we examined antipsychotic use in a prospective cohort of ICU patients with acute respiratory failure and/or shock. We collected data on medication use from medical records and assessed patients for delirium using the Confusion Assessment Method for the ICU. Using multivariable logistic regression, we analyzed whether age, delirium duration, atypical antipsychotic use, and discharge disposition (each selected a priori) were independent risk factors for discharge on an antipsychotic. We also examined admission Acute Physiology and Chronic Health Evaluation (APACHE) II score, haloperidol use, and days of benzodiazepine use in post hoc analyses. After excluding 18 patients due to prior antipsychotic use and three who withdrew, we included 500 patients. Among 208 (42%) treated with an antipsychotic, median (interquartile range) age was 59 (49-69) years and APACHE II score was 26 (22-32), characteristics that were similar among antipsychotic nonusers. Antipsychotic users were more likely than nonusers to have had delirium (93% vs. 61%, p < 0.001). Of the 208 antipsychotic users, 172 survived to hospital discharge, and 42 (24%) of these were prescribed an antipsychotic at discharge. Treatment with an atypical antipsychotic was the only independent risk factor for antipsychotic prescription at discharge (odds ratio 17.6, 95% confidence interval 4.9 to 63.3; p < 0.001). Neither age, delirium duration, nor discharge disposition were risk factors (p = 0.11, 0.38, and 0.12, respectively) in the primary regression model, and post hoc analyses found APACHE II (p = 0.07), haloperidol use (p = 0.16), and days of benzodiazepine use (p = 0.31) were also not risk factors for discharge on an antipsychotic. In this study, antipsychotics were used to treat nearly half of all antipsychotic-naïve ICU patients and were prescribed at discharge to 24% of antipsychotic-treated patients. Treatment with an atypical antipsychotic greatly increased the odds of discharge with an antipsychotic prescription, a practice that should be examined carefully during medication reconciliation since these drugs carry "black box warnings" regarding long-term use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 134 X users 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Other 11 10%
Student > Master 11 10%
Professor > Associate Professor 9 8%
Student > Bachelor 8 8%
Student > Ph. D. Student 8 8%
Other 24 23%
Unknown 35 33%
Readers by discipline Count As %
Medicine and Dentistry 44 42%
Nursing and Health Professions 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Psychology 2 2%
Agricultural and Biological Sciences 1 <1%
Other 5 5%
Unknown 38 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 November 2020.
All research outputs
#548,036
of 25,709,917 outputs
Outputs from Critical Care
#353
of 6,603 outputs
Outputs of similar age
#11,007
of 417,548 outputs
Outputs of similar age from Critical Care
#5
of 94 outputs
Altmetric has tracked 25,709,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 94% 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 417,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.