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

antipsychotic agents critical illness delirium intensive care units patient discharge

Journal

Journal of intensive care medicine
ISSN: 1525-1489
Titre abrégé: J Intensive Care Med
Pays: United States
ID NLM: 8610344

Informations de publication

Date de publication:
30 Aug 2023
Historique:
medline: 30 8 2023
pubmed: 30 8 2023
entrez: 30 8 2023
Statut: aheadofprint

Résumé

We investigated the association of age, sex, race, and insurance status on antipsychotic medication use among intensive care unit (ICU) patients. Retrospective 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. Of 27,137 encounters identified, 6191 (22.8%) received antipsychotics. Age was significantly associated with the odds of receiving olanzapine ( Age, 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.

Identifiants

pubmed: 37644873
doi: 10.1177/08850666231198030
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8850666231198030

Auteurs

Jennifer Connell (J)

Vanderbilt University School of Medicine, Nashville, TN, USA.

Brittany McCann (B)

Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.

Xiaoke Feng (X)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.

Matthew S Shotwell (MS)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.

Christopher G Hughes (CG)

Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University Medical Center, Nashville, TN, USA.

Christina S Boncyk (CS)

Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University Medical Center, Nashville, TN, USA.

Classifications MeSH