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老年骨科患者停用精神活性药物:来自GIOG2.0意大利调查的结果。

Deprescribing psychoactive drugs in older orthogeriatric patients: findings from the GIOG2.0 Italian survey.

作者信息

Cavalli Andrea, De Vincentis Antonio, Pedone Claudio, Laudisio Alice, Santoro Lucrezia, Ferrara Maria Cristina, Trevisan Caterina, Tassistro Elena, Valsecchi Maria Grazia, Castoldi Giuseppe, Mussi Chiara, Sergi Giuseppe, Ungar Andrea, Volpato Stefano, Papalia Rocco, Incalzi Raffaele Antonelli, Bellelli Giuseppe

机构信息

Research Unit of Geriatrics, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, Roma, 00128, Italy.

Research Unit of Internal Medicine, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, Roma, 00128, Italy.

出版信息

BMC Geriatr. 2025 Mar 1;25(1):138. doi: 10.1186/s12877-025-05695-1.

Abstract

BACKGROUND

Psychoactive drugs represent a major contributor to falls in older people. This study aims to evaluate the prescribing practice of psychoactive drugs in older people hospitalized for hip fracture (HF) and to explore independent correlates of deprescribing.

METHODS

Multicenter prospective observational study including patients with HF admitted to 13 Orthogeriatric wards of the Italian Group of Orthogeriatrics (July 2019-August 2022). Patients underwent a comprehensive geriatric assessment. The use of psychoactive drugs associated with a higher risk of falls was assessed using a dedicated checklist. Deprescribing was defined as any reduction in the number of psychoactive drugs upon discharge, and independent correlates of deprescribing were explored using logistic regression analyses. Cluster analysis by Partitioning around Medoids was also performed in the hypothesis that selected clusters of characteristics could be associated with deprescribing.

RESULTS

One thousand eight hundred fifty-four older individuals (mean age 84 years, 77% females) were studied; 1190 (64%) were not prescribed any psychoactive drug, while 474 (26%), 129 (7%), and 61 (3%) took 1, 2, 3 or more psychoactive drugs, respectively. Among 664 patients on psychoactive drugs on admission, 177 (27%) had fewer prescriptions at discharge, mainly anxiolytics from 89 to 10 (50-6%), antipsychotics from 49 to 12 (28-7%) and antidepressants from 98 to 28 (55-16%). On the other count, 51 (8%) were prescribed more psychoactive drugs, mostly antidepressants from 25 to 45 (49-88%) and antipsychotics from 7 to 17 (14-17%). Functional autonomy (ADL aOR 0.87 [95%CI 0.78-0.97] p < 0.001), polipharmacy (aOR 1.15 [95%CI 1.03-1.29] p < 0.001) and the occurrence of post-operative delirium (aOR 1.71 [95%CI 1.09-2.66] p < 0.017) were independent correlates of deprescribing. More specifically, the clustering procedure could not improve the characterization of deprescribing; conversely, the deprescribing propensity significantly depended upon the center-specific prescriptive practice, not explained by other clinical-epidemiological factors.

CONCLUSION

Only a small proportion of patients hospitalized for HF undergoes deprescribing of psychoactive drugs, with considerable heterogeneity among centers, suggesting that the physician's attitude rather than patient-related factors affects deprescribing.

摘要

背景

精神活性药物是导致老年人跌倒的主要因素之一。本研究旨在评估因髋部骨折(HF)住院的老年人精神活性药物的处方情况,并探讨减药的独立相关因素。

方法

多中心前瞻性观察性研究,纳入意大利老年骨科组13个老年骨科病房收治的HF患者(2019年7月至2022年8月)。患者接受了全面的老年综合评估。使用专门的检查表评估与跌倒风险较高相关的精神活性药物的使用情况。减药定义为出院时精神活性药物数量的任何减少,并使用逻辑回归分析探讨减药的独立相关因素。还进行了围绕中心点划分的聚类分析,假设选定的特征聚类可能与减药有关。

结果

共研究了1854名老年人(平均年龄84岁,77%为女性);1190名(64%)未开具任何精神活性药物,而474名(26%)、129名(7%)和61名(3%)分别服用1、2、3种或更多种精神活性药物。在入院时服用精神活性药物的664名患者中,177名(27%)出院时处方减少,主要是抗焦虑药从89例减至10例(50 - 6%),抗精神病药从49例减至12例(28 - 7%),抗抑郁药从98例减至28例(55 - 16%)。另一方面,51名(8%)患者开具了更多的精神活性药物,主要是抗抑郁药从25例增至45例(49 - 88%),抗精神病药从7例增至17例(14 - 17%)。功能自主性(ADL调整后比值比0.87 [95%置信区间0.78 - 0.97] p < 0.001)、多重用药(调整后比值比1.15 [95%置信区间1.03 - 1.29] p < 0.001)和术后谵妄的发生(调整后比值比1.71 [95%置信区间1.09 - 2.66] p < 0.017)是减药的独立相关因素。更具体地说,聚类程序并不能改善对减药的特征描述;相反,减药倾向显著取决于特定中心的处方习惯,而不受其他临床流行病学因素的解释。

结论

因HF住院的患者中只有一小部分接受了精神活性药物的减药治疗,各中心之间存在相当大的异质性,这表明医生的态度而非患者相关因素影响减药。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79c/11871694/a3762d0150f6/12877_2025_5695_Fig1_HTML.jpg

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