肝硬化患者药物使用患病率的变化:一项使用药物效益方案数据的回顾性队列研究。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2023-12-01 Epub Date: 2023-10-13 DOI:10.1007/s40801-023-00390-2
Kelly L Hayward, Rianne A Weersink, Christina M Bernardes, Carolyn McIvor, Tony Rahman, Richard Skoien, Paul J Clark, Katherine A Stuart, Gunter Hartel, Patricia C Valery, Elizabeth E Powell
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引用次数: 0

摘要

背景:安全和适当地使用药物对于改善肝硬化患者的健康状况至关重要。然而,人们对澳大利亚肝硬化患者的药物数量和类型知之甚少,因为这种情况主要发生在社区。我们旨在描述肝硬化患者的处方特征,并探索药物组使用随时间的变化。方法:提取2016年1月1日至2020年6月30日期间同意CirCare参与者的药物福利计划数据(多点、前瞻性、观察性研究)。包括从肝硬化诊断到肝移植或死亡的处方。根据已发表的循证建议确定了配药的安全性分类。在6个月的时间间隔内对药物使用模式进行分析。使用广义估计方程模型来估计药物消费随时间的变化。结果:在随访期间,522名患者(平均年龄60岁,70%为男性,34%为招募时失代偿期患者)共开出89615张处方,平均每名患者开出136张[四分位间距(IQR)62-237]处方,平均每位患者开出16种(IQR 11-23)独特药物(总n=9306种药物)。最常用的药物是质子泵抑制剂(PPIs)(73%的患者至少服用一次)、阿片类药物(68%)和抗生素(89%)。多药治疗很普遍,在每个时间段内,59-69%的观察参与者服用了五种或五种以上的独特药物。处方药的使用随着时间的推移而增加(p结论:多药治疗在肝硬化患者中很常见,一些药物组可能过度使用。需要提高药物警惕,未来的药物安全工作应针对高风险处方实践,并促进社区药物合理化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changing Prevalence of Medication Use in People with Cirrhosis: A Retrospective Cohort Study Using Pharmaceutical Benefits Scheme Data.

Background: Safe and appropriate use of medicines is essential to improve health outcomes in cirrhosis. However, little is known about the number and type of medicines dispensed to people with cirrhosis in Australia, as this predominantly occurs in the community. We aimed to characterise the prescriptions dispensed to people with cirrhosis and explore changes in the use of medication groups over time.

Methods: Pharmaceutical Benefits Scheme data between 1 January 2016 and 30 June 2020 was extracted for consenting CirCare participants (multi-site, prospective, observational study). Prescriptions dispensed from cirrhosis diagnosis until liver transplant or death were included. Safety classifications for dispensed medicines were defined using published evidence-based recommendations. The pattern of medication use was analysed in 6-monthly time intervals. Generalised estimating equations models were used to estimate the change in consumption of medicines over time.

Results: Five hundred twenty-two patients (mean age 60 years, 70% male, 34% decompensated at recruitment) were dispensed 89,615 prescriptions during the follow-up period, representing a median of 136 [interquartile range (IQR) 62-237] prescriptions and a median of 16 (IQR 11-23) unique medicines per patient (total n = 9306 medicines). The most commonly used medicines were proton pump inhibitors (PPIs) (dispensed at least once to 73% of patients), opioids (68%) and antibiotics (89%). Polypharmacy was prevalent, with 59-69% of observed participants in each time period dispensed five or more unique medicines. Prescription medication use increased over time (p < 0.001) independently of age, comorbidity burden and liver disease aetiology. The likelihood of taking PPIs, opioids, antidepressants and inhaled medicines also increased with each successive time period. Use of angiotensin therapies, metformin and statins differed over time between patients with compensated versus decompensated cirrhosis. General practitioners prescribed 69% of dispensed medicines, including a higher proportion of 'unsafe' and 'safety unknown' medicines compared with consultants/specialists (p < 0.001).

Conclusions: Polypharmacy is common in people with cirrhosis and some medication groups may be overused. Pharmacovigilance is required and future medication safety efforts should target high-risk prescribing practices and promote medication rationalisation in the community.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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