Cotteret C, Vallières E, Roy H, Ovetchkine P, Longtin J, Bussières J-F
Unité de recherche en pratique pharmaceutique, département de pharmacie, centre hospitalier Sainte-Justine, 3175, chemin de la Côte-Sainte-Catherine, H3T 1C5 Montréal QC, Canada.
Laboratoire de microbiologie, centre hospitalier Sainte-Justine, 3175, chemin de la Côte-Sainte-Catherine, H3T 1C5 Montréal QC, Canada.
Arch Pediatr. 2016 Oct;23(10):1040-1049. doi: 10.1016/j.arcped.2016.07.004. Epub 2016 Sep 16.
To reduce risks of antibiotic resistance, governmental and learned societies decreed the optimal use of antibiotics. The relation between antibiotic consumption and bacterial resistance increase has been clearly demonstrated over the last several years. Antibiotic consumption data and bacterial sensitivity data are regularly published, but very few publications have searched for a correlation between these two variables. This study focused on antibiotic use and consumption as well as bacterial sensitivity to these antibiotics.
The main objective was to describe the changes in antibiotic consumption and bacterial sensitivity in a mother-child teaching hospital. The secondary objectives were to explore whether antibiotic use and bacterial sensitivity were correlated and to comment on the usefulness of these data for clinicians.
This was a 5-year retrospective, descriptive, cross-sectional study. All samples from usually sterile biologic liquids of hospitalized pediatric patients were included in the study. The samples from outpatient clinics were excluded. All types of bacteria identified in more than 30 isolates were included in the study. The antibiotics usually used to treat these bacteria were included. To assess antibiotic consumption, we calculated the number of days of therapy per 1000 patient-days for hospitalized pediatric patients and we calculated the Pearson correlation coefficient between antibiotic consumption and sensitivity rates to these antibiotics. Two scenarios were explored: one with correlation by year and one with the next year for bacterial sensitivity.
During the study period (2010-2011 to 2014-2015), overall antibiotics consumption remained relatively stable. Concerning bacterial sensitivity, we noted important changes (sensitivity rates increased for 12 antibiotic-bacteria pairs, remained stable for five, and decreased for 15). We found three significant correlations for the first scenario: Pseudomonas aeruginos-ceftazidime (P=0.01), P. aeruginosa-ciprofloxacin and fluoroquinolone consumption (P=0.02), Enterococcus sp-ampicillin and penicillin consumption (P=0.04). For the second scenario, we found only two significant correlations: coagulase-negative Staphylococcus-oxacilline and penicillin consumption (P=0.02), P. aeruginosa/piperacillin (P=0.04).
This exploratory study allowed us to describe antibiotic consumption and bacterial sensitivity progression. To our knowledge, this is the first study exploring the correlation between antibiotic consumption and the bacterial sensitivity rate in pediatrics in Canada. It remains very difficult to show this correlation between these two variables because of the multiple sources of bacterial resistance. These data are particularly useful for the antimicrobial stewardship programs and for clinicians.
为降低抗生素耐药风险,政府和学术团体颁布了抗生素的优化使用规定。在过去几年中,抗生素使用量与细菌耐药性增加之间的关系已得到明确证实。抗生素使用数据和细菌敏感性数据会定期公布,但很少有出版物探究这两个变量之间的相关性。本研究聚焦于抗生素的使用和消费情况以及细菌对这些抗生素的敏感性。
主要目的是描述一家母婴教学医院抗生素使用和细菌敏感性的变化。次要目的是探究抗生素使用与细菌敏感性是否相关,并评价这些数据对临床医生的有用性。
这是一项为期5年的回顾性、描述性横断面研究。纳入研究的是住院儿科患者通常无菌生物液体的所有样本。排除门诊样本。研究纳入了在30多个分离株中鉴定出的所有细菌类型。纳入了通常用于治疗这些细菌的抗生素。为评估抗生素使用情况,我们计算了住院儿科患者每1000患者日的治疗天数,并计算了抗生素使用量与这些抗生素敏感性率之间的Pearson相关系数。探讨了两种情况:一种是逐年相关性,另一种是细菌敏感性与下一年的相关性。
在研究期间(2010 - 2011年至2014 - 2015年),总体抗生素使用量保持相对稳定。关于细菌敏感性,我们注意到有重要变化(12对抗生素 - 细菌对的敏感性率上升,5对保持稳定,15对下降)。对于第一种情况,我们发现了三个显著相关性:铜绿假单胞菌 - 头孢他啶(P = 0.01)、铜绿假单胞菌 - 环丙沙星和氟喹诺酮类使用量(P = 0.02)、肠球菌属 - 氨苄西林和青霉素使用量(P = 0.04)。对于第二种情况,我们仅发现了两个显著相关性:凝固酶阴性葡萄球菌 - 苯唑西林和青霉素使用量(P = 0.02)、铜绿假单胞菌/哌拉西林(P = 0.04)。
这项探索性研究使我们能够描述抗生素使用和细菌敏感性的进展情况。据我们所知,这是加拿大第一项探究儿科抗生素使用量与细菌敏感性率之间相关性的研究。由于细菌耐药性的多种来源,要证明这两个变量之间的这种相关性仍然非常困难。这些数据对抗菌药物管理计划和临床医生特别有用。