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

The Association of Nonmodifiable Patient Factors on Antipsychotic Medication use in the Intensive Care Unit.
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DOI:
10.1177/08850666231198030
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发表时间:
2024-02
影响因子:
3.1
通讯作者:
Boncyk, Christina S.
Boncyk, Christina S.
中科院分区:
医学3区
文献类型:
--
作者:
Connell, Jennifer;Mccann, Brittany;Feng, Xiaoke;Shotwell, Matthew S.;Hughes, Christopher G.;Boncyk, Christina S.

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我们调查了重症监护室(ICU)患者中年龄、性别、种族和保险状况与抗精神病药物使用的关系。对在三级学术中心入住ICU的成人进行的回顾性研究。收集患者特征、住院过程和药物(奥氮平、奎替利和氟哌啶醇)数据。Logistic回归模型评估了年龄、性别、种族和保险状况对每种抗精神病药物使用的独立相关性,并对预先设定的协变量进行了调整。在确定的27,137次接触中,6191次(22.8%)接受了抗精神病药物治疗。年龄与接受奥氮平(P <0.001)、奎替利(P = 0.001)和氟哌啶醇(P = 0.0046)的几率显著相关。男性和公共保险状况与接受抗精神病药物奥氮平、奎替利和氟哌啶醇的几率增加相关(男性vs女性: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;公共保险vs私人保险: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)。黑人也与接受所有抗精神病药物(奥氮平(P = .0177),奎替鲁(P = .004),氟哌啶醇(P = .0041))的几率降低有关。年龄、性别、种族和保险状况与研究的所有抗精神病药物的使用相关,突出了研究这些处方决定对不同人群患者结局的潜在影响的重要性。认识到不可改变的患者因素有可能影响处方的做法可能被认为是一个重要的因素,优化用药方案。
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 (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)). 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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