Pezzani Maria Diletta, Tornimbene Barbara, Pessoa-Silva Carmem, de Kraker Marlieke, Rizzardo Sebastiano, Salerno Nicola Duccio, Harbarth Stephan, Tacconelli Evelina
Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Surveillance, Evidence & Laboratory Strengthening Unit, SPC Department, AMR Division, World Health Organization, Geneva, Switzerland.
Clin Microbiol Infect. 2021 Jan 13;27(5):687-96. doi: 10.1016/j.cmi.2021.01.004.
The health impact of antimicrobial resistance (AMR) has not been included in the Global Burden of Disease (GBD) report, as reliable data have been lacking. AMR burden estimates have been derived from models combining incidence and/or prevalence data from national and/or international surveillance systems and mortality estimates from clinical studies. Depending on utilized empirical data, statistical methodology and applied endpoints, the validity and reliability of results can differ substantially.
We assessed comprehensiveness, and internal and external validity of studies estimating the clinical impact of infections caused by the priority antibiotic resistant pathogens monitored by the WHO Global Antimicrobial Resistance Surveillance System.
Ovid MEDLINE, January 1950 to March 2019, In-Process and other non-indexed citations were searched.
Studies reporting mortality, length of hospital stay, duration of the disease until remission and/or death, complications, hospital re-admissions, and follow-up beyond hospital discharge were eligible.
The literature was searched according to the Cochrane recommendations and reported according to Preferred Reporting Items for Systematic Reviews.
Two-hundred and eighty-six studies out of 3529 were eligible. Studies derived mainly from high-income countries (215, 75%) and relied on data from retrospective (226, 79%), single-centre (201, 70%), cohort studies (243, 85%). The health impact was mostly limited to all-cause mortality (128, 45%) with heterogeneity in timing of assessment; attributable length of hospital stay was seldom adjusted for pre-infection admission time and a few studies had enough follow-up for assessing long-term sequelae. Overall, adjustment for confounding has shown a substantial improvement. Data on health state definitions and duration of diseases are generally lacking, precluding calculation of disability-adjusted life years, critical for application of the GBD study methodology.
Efforts to improve harmonization, representativeness, quality of AMR surveillance data and cohort studies to determine AMR attributable mortality and morbidity are urgently required. Policy makers need accurate and detailed burden estimates to inform prioritization of resource allocation, and to select the most effective intervention strategies to halt the AMR crisis.
由于缺乏可靠数据,抗菌药物耐药性(AMR)对健康的影响尚未纳入《全球疾病负担》(GBD)报告。AMR负担估计值来自结合了国家和/或国际监测系统的发病率和/或患病率数据以及临床研究死亡率估计值的模型。根据所使用的经验数据、统计方法和应用的终点指标,结果的有效性和可靠性可能有很大差异。
我们评估了估计由世界卫生组织全球抗菌药物耐药性监测系统监测的重点抗生素耐药病原体引起的感染的临床影响的研究的全面性、内部和外部有效性。
检索了1950年1月至2019年3月的Ovid MEDLINE,包括在研和其他未索引的文献。
报告死亡率、住院时间、疾病缓解和/或死亡前的持续时间、并发症、再次入院以及出院后随访情况的研究符合要求。
按照Cochrane推荐方法检索文献,并根据系统评价的首选报告项目进行报告。
3529项研究中有286项符合要求。这些研究主要来自高收入国家(215项,75%),且依赖回顾性数据(226项,79%)、单中心数据(201项,70%)、队列研究数据(243项,85%)。健康影响大多局限于全因死亡率(128项,45%),评估时间存在异质性;住院时间的归因长度很少根据感染前入院时间进行调整,且很少有研究进行足够的随访以评估长期后遗症。总体而言,对混杂因素的调整有了显著改善。通常缺乏关于健康状态定义和疾病持续时间的数据,这使得无法计算伤残调整生命年,而这对于应用GBD研究方法至关重要。
迫切需要努力提高AMR监测数据和队列研究的协调性、代表性和质量,以确定AMR所致的死亡率和发病率。政策制定者需要准确而详细的负担估计值,以便为资源分配的优先排序提供依据,并选择最有效的干预策略来遏制AMR危机。