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The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.
Connell, Jennifer; McCann, Brittany; Feng, Xiaoke; Shotwell, Matthew S; Hughes, Christopher G; Boncyk, Christina S.
Afiliação
  • Connell J; Vanderbilt University School of Medicine, Nashville, TN, USA.
  • McCann B; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Feng X; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Shotwell MS; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Hughes CG; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Boncyk CS; Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University Medical Center, Nashville, TN, USA.
J Intensive Care Med ; 39(2): 176-182, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37644873
ABSTRACT

PURPOSE:

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

METHODS:

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.

RESULTS:

Of 27,137 encounters identified, 6191 (22.8%) received antipsychotics. Age was significantly associated with the odds of receiving olanzapine (P < .001), quetiapine (P = .001), and haloperidol (P = .0046). Male sex and public insurance status were associated with increased odds of receiving antipsychotics olanzapine, quetiapine, and haloperidol (Male vs Female OR 1.13, 95% CI [1.04, 1.24], P = .0005; OR 1.22, 95% CI [1.10, 1.34], P = .0001; OR 1.28, 95% CI [1.17, 1.40], P < .0001, respectively; public insurance vs private insurance OR 1.32, 95% CI [1.20, 1.46], P < .0001; OR 1.21, 95% CI [1.09, 1.34], P = .0004; OR 1.15, 95% CI [1.04, 1.27], P = .0058, respectively). Black race was also associated with a decreased odds of receiving all antipsychotics (olanzapine (P = .0177), quetiapine (P = .004), haloperidol (P = .0041)).

CONCLUSIONS:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antipsicóticos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antipsicóticos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article