Use of a predictor panel to evaluate susceptibility testing methods for ampicillin-sulbactam

Author:

Bradford P A1,Sanders C C1

Affiliation:

1. Department of Medical Microbiology, Creighton University, Omaha, Nebraska 68178-0213.

Abstract

A predictor panel of clinical isolates that produce a variety of types and amounts of beta-lactamases was used to assess the accuracies of a variety of susceptibility tests for ampicillin-sulbactam. Combinations of ampicillin-sulbactam in ratios of 1:1 and 2:1 and with sulbactam held constant at concentrations of 4 and 8 micrograms/ml were examined in dilution tests performed in agar and broth. In addition, disks containing 10/10, 20/10, 20/20, and 20/30 micrograms of ampicillin-sulbactam were examined in diffusion tests. The results indicated that the MICs obtained in broth microdilution tests performed with each of the four combinations differed, on average, less than twofold. Of the disks tested, the 20/10-micrograms ampicillin-sulbactam disk provided the best separation between susceptible and resistant strains when interpretive criteria for resistance was a zone size of < or = 16 mm and that for susceptibility was a zone size of > or = 21 mm. This disk also gave the highest overall agreement with MICs, regardless of the combination used in the broth microdilution test. Discrepancies between agar and broth microdilution MICs were greater than twofold, on average, and this necessitated recommendation of separate criteria for the two methods. Thus, a predictor panel was very useful in identifying the parameters of susceptibility tests that were most accurate in identifying strains that were susceptible and resistant to ampicillin-sulbactam.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Reference19 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3