The Cardiovascular Pharmacology of Nonsteroidal Anti-Inflammatory Drugs.
The Cardiovascular Pharmacology of Nonsteroidal Anti-Inflammatory Drugs.
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非甾体抗炎药的心血管药理学。
DOI：
10.1016/j.tips.2017.05.008
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发表时间：
2017-08
影响因子：
13.8
通讯作者：
FitzGerald GA
中科院分区：
文献类型：
--
作者：
Grosser T;Ricciotti E;FitzGerald GA
非甾体抗炎药（NSAID）的心血管和肾脏不良反应（如心肌梗死和高血压）的主要分子机制比大多数药物副作用更详细。然而，关于化学上不同的NSAID之间心血管安全性的差异及其并发症的相对易感性知之甚少。在这里，我们讨论了不同的非甾体抗炎药的药代动力学和药效学的异质性可能会影响他们的心血管风险。我们考虑了模型系统研究、机械临床试验、随机对照试验荟萃分析和最近两项大型临床试验（SCOT和PRECISION）提供的证据，这两项试验专门用于比较环氧化酶（考克斯）-2选择性NSAID塞来昔布与传统NSAID的心血管安全性。我们的结论是，SCOT和PRECISION显然没有比较等效剂量，并且有其他局限性，使其倾向于低估塞来昔布的相对风险。
The principal molecular mechanisms underlying the cardiovascular and renal adverse effects of nonsteroidal anti-inflammatory drugs (NSAIDs), such as myocardial infarction and hypertension, are understood in more detail than most side effects of drugs. Less is known, however, about differences in the cardiovascular safety profile between chemically distinct NSAIDs and their relative predisposition to complications. Here, we discuss how heterogeneity in the pharmacokinetics and pharmacodynamics of distinct NSAIDs may be expected to affect their cardiovascular risk profile. We consider evidence afforded by studies in model systems, mechanistic clinical trials, a meta-analysis of randomized controlled trials, and two recent large clinical trials, SCOT and PRECISION, designed specifically to compare the cardiovascular safety of the cyclooxygenase (COX)-2 selective NSAID, celecoxib, with traditional NSAIDs. We conclude that SCOT and PRECISION have apparently not compared equipotent doses and have other limitations that bias them towards underestimation of the relative risk of celecoxib.
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DOI：
10.1161/atvbaha.112.247726
发表时间：
2012-06
期刊：
Arteriosclerosis, thrombosis, and vascular biology
影响因子：
--
作者：
Caplin B;Leiper J
通讯作者：
Leiper J
影响因子：
20.1
作者：
Arehart, Eric;Stitham, Jeremiah;Hwa, John
通讯作者：
Hwa, John
影响因子：
2
作者：
Berges, Alienor;Robertson, Jonathan;Chen, Chao
通讯作者：
Chen, Chao
影响因子：
168.9
作者：
Cannon, Christopher P.;Curtis, Sean P.;Laine, Loren
通讯作者：
Laine, Loren
影响因子：
37.8
作者：
Barbieri, Silvia S.;Amadio, Patrizia;Tremoli, Elena
通讯作者：
Tremoli, Elena