与潜在他汀类药物相关的处方级联相关的可修改他汀类药物特征。

IF 2.9 3区 医学 Q2 PHARMACOLOGY & PHARMACY Pharmacotherapy Pub Date : 2023-12-01 Epub Date: 2023-10-06 DOI:10.1002/phar.2883
Grace Hsin-Min Wang, Earl Morris, Scott M Vouri, Shailina Keshwani, Stephan Schmidt, Carl J Pepine, Steven M Smith
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引用次数: 0

摘要

研究目的:临床医生可能会开新药(标志性药物)来治疗他汀类药物相关(指标性药物)不良事件,构成一个处方级联。我们旨在确定与处方级联风险较低相关的可改变的他汀类药物特征(强度和个体他汀类药物),以在存在他汀类药物相关不良事件的情况下为临床决策提供信息。设计:基于我们之前工作的二次分析,高通量序列对称分析筛选潜在的他汀类药物相关处方级联。数据来源:2005年至2019年间的MarketScan商业和医疗保险补充保险索赔数据库。患者:2007年至2018年间开始服用他汀类药物的成年人,并且在他汀类药物开始使用前和使用后至少720天和360天连续参加同一医疗保健计划。干预:在先前确定的57个潜在处方级联中,本研究评估了42个样本量≥500的他汀类标志物二元组。测量:我们测量了患者在他汀类药物开始使用后-360天内的基线特征,并报告了可改变的他汀类药物特征。我们还进行了逻辑回归,并报告了在调整基线特征后,可改变他汀类药物特征的95%置信区间(CI)的调整优势比(aOR)。主要结果:我们确定了1307867名符合研究标准的他汀类药物引发剂(21%为老年人,52%为女性)。与开始服用低强度他汀类药物的患者相比,那些开始服用中强度或高强度他汀类药的患者出现29个(69%)处方级联的几率明显更大,包括抗糖尿病药物,如二肽基肽酶4(DPP-4)抑制剂(aOR 1.22;95%CI,1.11-1.35)和胰高血糖素样肽-1(GLP-1)类似物(aOR 1.31;95%CI:1.16-1.47),和阿片类药物(aOR 1.18;95%CI,1.13-1.23)。个体他汀类药物的选择对34(81%)的处方级联也有不同的影响。例如,与辛伐他汀引发剂相比,洛伐他汀引发剂引发渗透性泻药的概率显著更高(aOR 1.09;95%CI,1.03-1.15),阿托伐他汀引发剂引发的概率显著更低(aOR 0.92;95%CI为0.89-0.94)。结论:与低强度他汀类药物相比,在许多潜在的处方级联中,高强度他汀类药物与风险增加有关,而个体他汀类药物的选择会双向影响处方级联的风险。
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Modifiable statin characteristics associated with potential statin-related prescribing cascades.

Study objective: Clinicians may prescribe new medications (marker drug) to treat statin-related (index drug) adverse events, constituting a prescribing cascade. We aimed to identify modifiable statin characteristics (intensity and individual statin agents) associated with lower risk of prescribing cascades to inform clinical decisions in the presence of statin-related adverse events.

Design: A secondary analysis based on our previous work, a high-throughput sequence symmetry analysis screening for potential statin-related prescribing cascades.

Data source: MarketScan Commercial and Medicare Supplemental Insurance claims databases between 2005 and 2019.

Patients: Adults who initiated a statin between 2007 and 2018, and who were continuously enrolled in the same healthcare plan for at least 720 days before and 360 days after statin initiation.

Intervention: Among the previously identified 57 potential prescribing cascades, 42 statin-marker class dyad with a sample size of ≥ 500 were assessed in this study.

Measurements: We measured patients' baseline characteristics within -360 days of statin initiation and reported by modifiable statin characteristics. We also performed logistic regression and reported the adjusted odds ratios (aOR) with 95% confidence intervals (CI) of modifiable statin characteristics after adjusting for baseline characteristics.

Main results: We identified 1,307,867 statin initiators who met the study criteria (21% elderly, 52% female). Compared with patients initiating low-intensity statins, those initiating moderate- or high-intensity statins had significantly greater odds to develop 29 (69%) prescribing cascades, including antidiabetic drugs such as dipeptidyl peptidase 4 (DPP-4) inhibitors (aOR 1.22; 95% CI, 1.11-1.35) and glucagon-like peptide-1 (GLP-1) analogs (aOR 1.31; 95% CI, 1.16-1.47), and opioids (aOR 1.18; 95% CI, 1.13-1.23). Individual statin agent selection also had a differential effect on 34 (81%) of the prescribing cascades. For example, compared with simvastatin initiators, the probability of initiating osmotically acting laxatives was significantly higher for lovastatin initiators (aOR 1.09; 95% CI, 1.03-1.15) and significantly lower in atorvastatin initiators (aOR 0.92; 95% CI, 0.89-0.94).

Conclusion: Compared with low-intensity statins, high-intensity statins are associated with increased risk in many potential prescribing cascades, while the choice of individual statin agents affects the risk of prescribing cascades bidirectionally.

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来源期刊
Pharmacotherapy
Pharmacotherapy 医学-药学
CiteScore
7.80
自引率
2.40%
发文量
93
审稿时长
4-8 weeks
期刊介绍: Pharmacotherapy is devoted to publication of original research articles on all aspects of human pharmacology and review articles on drugs and drug therapy. The Editors and Editorial Board invite original research reports on pharmacokinetic, bioavailability, and drug interaction studies, clinical trials, investigations of specific pharmacological properties of drugs, and related topics.
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