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英格兰和威尔士医院中痴呆症、抑郁症和处方药之间的多维关系。

Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals.

机构信息

Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry~Londonderry, Northern Ireland, UK.

Department of Computer Science, University of Bath, Bath, UK.

出版信息

BMC Med Inform Decis Mak. 2022 Oct 7;22(1):262. doi: 10.1186/s12911-022-01892-9.

Abstract

BACKGROUND

Dementia is a group of symptoms that largely affects older people. The majority of patients face behavioural and psychological symptoms (BPSD) during the course of their illness. Alzheimer's disease (AD) and vascular dementia (VaD) are two of the most prevalent types of dementia. Available medications provide symptomatic benefits and provide relief from BPSD and associated health issues. However, it is unclear how specific dementia, antidepressant, antipsychotic, antianxiety, and mood stabiliser drugs, used in the treatment of depression and dementia subtypes are prescribed in hospital admission, during hospital stay, and at the time of discharge. To address this, we apply multi-dimensional data analytical approaches to understand drug prescribing practices within hospitals in England and Wales.

METHODS

We made use of the UK National Audit of Dementia (NAD) dataset and pre-processed the dataset. We evaluated the pairwise Pearson correlation of the dataset and selected key data features which are highly correlated with dementia subtypes. After that, we selected drug prescribing behaviours (e.g. specific medications at the time of admission, during the hospital stay, and upon discharge), drugs and disorders. Then to shed light on the relations across multiple features or dimensions, we carried out multiple regression analyses, considering the number of dementia, antidepressant, antipsychotic, antianxiety, mood stabiliser, and antiepileptic/anticonvulsant drug prescriptions as dependent variables, and the prescription of other drugs, number of patients with dementia subtypes (AD/VaD), and depression as independent variables.

RESULTS

In terms of antidepressant drugs prescribed in hospital admission, during stay and discharge, the number of sertraline and venlafaxine prescriptions were associated with the number of VaD patients whilst the number of mirtazapine prescriptions was associated with frontotemporal dementia patients. During admission, the number of lamotrigine prescriptions was associated with frontotemporal dementia patients, and with the number of valproate and dosulepin prescriptions. During discharge, the number of mirtazapine prescriptions was associated with the number of donepezil prescriptions in conjunction with frontotemporal dementia patients. Finally, the number of prescriptions of donepezil/memantine at admission, during hospital stay and at discharge exhibited positive association with AD patients.

CONCLUSION

Our analyses reveal a complex, multifaceted set of interactions among prescribed drug types, dementia subtypes, and depression.

摘要

背景

痴呆症是一组主要影响老年人的症状。大多数患者在疾病过程中会出现行为和心理症状(BPSD)。阿尔茨海默病(AD)和血管性痴呆(VaD)是最常见的两种痴呆症。现有的药物可提供对症治疗,并缓解 BPSD 及相关健康问题。然而,尚不清楚用于治疗抑郁症和痴呆亚型的特定痴呆症、抗抑郁药、抗精神病药、抗焦虑药和情绪稳定剂药物在入院时、住院期间和出院时的具体使用情况。为了解决这个问题,我们应用多维数据分析方法来了解英格兰和威尔士医院的药物处方实践。

方法

我们利用英国国家痴呆症审计(NAD)数据集并对其进行预处理。我们评估了数据集的皮尔逊相关系数,并选择了与痴呆亚型高度相关的关键数据特征。之后,我们选择了药物处方行为(例如入院时、住院期间和出院时的特定药物)、药物和疾病。然后,为了揭示多个特征或维度之间的关系,我们进行了多次回归分析,将痴呆症、抗抑郁药、抗精神病药、抗焦虑药、情绪稳定剂和抗癫痫药/抗惊厥药的处方数量作为因变量,将其他药物的处方数量、痴呆亚型(AD/VaD)患者数量和抑郁症作为自变量。

结果

在入院时、住院期间和出院时开具的抗抑郁药方面,舍曲林和文拉法辛的处方数量与 VaD 患者数量相关,而米氮平的处方数量与额颞叶痴呆患者相关。入院时,拉莫三嗪的处方数量与额颞叶痴呆患者以及丙戊酸和多虑平的处方数量相关。出院时,米氮平的处方数量与伴有额颞叶痴呆患者的多奈哌齐处方数量相关。最后,入院时、住院期间和出院时的多奈哌齐/美金刚处方数量与 AD 患者呈正相关。

结论

我们的分析揭示了所开药物类型、痴呆亚型和抑郁症之间存在复杂的、多方面的相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fbe/9547465/5f90cafcc498/12911_2022_1892_Fig1_HTML.jpg

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