Evidence map›Paper›PMID 37644873›Full record

ArticleJournal of intensive care medicine2024

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.

Jennifer Connell, Brittany McCann, Xiaoke Feng, Matthew S Shotwell, Christopher G Hughes, Christina S Boncyk

Open access · hybridAbstract read
In one paragraph

Article in Journal of intensive care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jennifer ConnellVanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0002-9433-249X
Brittany McCannDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Xiaoke FengDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Matthew S ShotwellDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Christopher G HughesDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Christina S BoncykDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-9661-4696
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Pathophysiology of postoperative delirium and the use of biomimetic sleep as a treatment strategy in the CSICUR01AG053582 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JOHNSON-AKEJU, OLUWASEUN · 2016 to 2020
$4.0M
Altering Sedation Paradigms to Improve Brain Injury and Survival in Severe SepsisR01HL111111 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PANDHARIPANDE, PRATIK · 2012 to 2017
$3.7M
The INSIGHT-ICU Study: Illuminating Neuropsychological dysfunction and Systemic Inflammatory mechanisms Gleaned after Hospitalization in Trauma-ICU StudyR01GM120484 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PATEL, MAYUR B · 2017 to 2021
$3.0M
NHLBI NIH HHS R01 HL111111NIA NIH HHS R01 AG053582NIGMS NIH HHS R01 GM120484
6 · The paper itself

Abstract

purposeWe investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients. MATERIALS AND

methodsRetrospective study of adults admitted to ICUs at a tertiary academic center. Patient characteristics, hospital course, and medication (olanzapine, quetiapine, and haloperidol) data were collected. Logistic regression models evaluated the independent association of age, sex, race, and insurance status on the use of each antipsychotic, adjusting for prespecified covariates.

resultsOf 27,137 encounters identified, 6191 (22.8%) received antipsychotics. Age was significantly associated with the odds of receiving olanzapine (

conclusionsAge, sex, race, and insurance status were associated with the use of all antipsychotic medications investigated, highlighting the importance of investigating the potential impact of these prescribing decisions on patient outcomes across diverse populations. Recognizing how nonmodifiable patient factors have the potential to influence prescribing practices may be considered an important factor toward optimizing medication regimens.

Indexed as

Antipsychotic AgentsAdultBenzodiazepinesFemaleHaloperidolHumansIntensive Care UnitsMaleOlanzapineQuetiapine FumarateRetrospective StudiesAntipsychotic AgentsBenzodiazepinesHaloperidolOlanzapineQuetiapine Fumarateantipsychotic agentscritical illnessdeliriumintensive care unitspatient discharge

Identifiers

PMID37644873
PMCPMC10771026
OpenAlexW4386272531

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.