Win Ratio Analyses of Piperacillin-Tazobactam Versus Meropenem for Ceftriaxone-Nonsusceptible Escherichia coli or Klebsiella pneumoniae Bloodstream Infections: Post Hoc Insights From the MERINO Trial

优势比 哌拉西林/他唑巴坦 美罗培南 医学 内科学 肺炎克雷伯菌 置信区间 临床终点 他唑巴坦 头孢曲松 析因分析 哌拉西林 临床试验 抗生素 微生物学 抗生素耐药性 生物 亚胺培南 大肠杆菌 细菌 生物化学 基因 铜绿假单胞菌 遗传学
作者
Melissa J. Hardy,Patrick N. A. Harris,David L. Paterson,Mark D. Chatfield,Yin Mo,Paul Anantharajah Tambyah,David Chien Lye,Tau H. Lee,Mesut Yılmaz,Thamer H. Alenazi,Yaseen M. Arabi,Marco Falcone,Matteo Bassetti,Elda Righi,Benjamin A. Rogers,Souha S. Kanj,Hasan Bhally,Jonathan R. Iredell,Marc Mendelson,Tom Boyles
出处
期刊:Clinical Infectious Diseases [Oxford University Press]
卷期号:78 (6): 1482-1489 被引量:5
标识
DOI:10.1093/cid/ciae050
摘要

Abstract Background Clinical trials of treatments for serious infections commonly use the primary endpoint of all-cause mortality. However, many trial participants survive their infection and this endpoint may not truly reflect important benefits and risks of therapy. The win ratio uses a hierarchical composite endpoint that can incorporate and prioritize outcome measures by relative clinical importance. Methods The win ratio methodology was applied post hoc to outcomes observed in the MERINO trial, which compared piperacillin-tazobactam with meropenem. We quantified the win ratio with a primary hierarchical composite endpoint, including all-cause mortality, microbiological relapse, and secondary infection. A win ratio of 1 would correspond to no difference between the 2 antibiotics, while a ratio <1 favors meropenem. Further analyses were performed to calculate the win odds and to introduce a continuous outcome variable in order to reduce ties. Results With the hierarchy of all-cause mortality, microbiological relapse, and secondary infection, the win ratio estimate was 0.40 (95% confidence interval [CI], .22–.71]; P = .002), favoring meropenem over piperacillin-tazobactam. However, 73.4% of the pairs were tied due to the small proportion of events. The win odds, a modification of the win ratio accounting for ties, was 0.79 (95% CI, .68–.92). The addition of length of stay to the primary composite greatly minimized the number of ties (4.6%) with a win ratio estimate of 0.77 (95% CI, .60–.99; P = .04). Conclusions The application of the win ratio methodology to the MERINO trial data illustrates its utility and feasibility for use in antimicrobial trials.
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