Bleischwitz Sinja, Winkelmann Tristan Salomon, Pfeifer Yvonne, Fischer Martin Alexander, Pfennigwerth Niels, Hammerl Jens André, Binsker Ulrike, Hans Jörg B, Gatermann Sören, Käsbohrer Annemarie, Werner Guido, Kreienbrock Lothar
Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine, 30559 Hanover, Germany.
Department of Infectious Diseases, Division of Nosocomial Pathogens and Antimicrobial Resistances, Robert Koch Institute, 38855 Wernigerode, Germany.
Antibiotics (Basel). 2024 Jul 16;13(7):656. doi: 10.3390/antibiotics13070656.
Resistance to last-resort antibiotics is a global threat to public health. Therefore, surveillance and monitoring systems for antimicrobial resistance should be established on a national and international scale. For the development of a One Health surveillance system, we collected exemplary data on carbapenem and colistin-resistant bacterial isolates from human, animal, food, and environmental sources. We pooled secondary data from routine screenings, hospital outbreak investigations, and studies on antimicrobial resistance. For a joint One Health evaluation, this study incorporates epidemiological metadata with phenotypic resistance information and molecular data on the isolate level. To harmonise the heterogeneous original information for the intended use, we developed a generic strategy. By defining and categorising variables, followed by plausibility checks, we created a catalogue for prospective data collections and applied it to our dataset, enabling us to perform preliminary descriptive statistical analyses. This study shows the complexity of data management using heterogeneous secondary data pools and gives an insight into the early stages of the development of an AMR surveillance programme using secondary data.
对最后手段抗生素的耐药性是对公共卫生的全球威胁。因此，应在国家和国际层面建立抗菌药物耐药性监测系统。为了开发一个“同一健康”监测系统，我们收集了来自人类、动物、食品和环境来源的耐碳青霉烯类和耐黏菌素细菌分离株的示例数据。我们汇总了来自常规筛查、医院暴发调查和抗菌药物耐药性研究的二手数据。为了进行联合“同一健康”评估，本研究将流行病学元数据与表型耐药性信息以及分离株水平的分子数据相结合。为了使异质的原始信息适用于预期用途，我们制定了一个通用策略。通过定义和分类变量，随后进行合理性检查，我们创建了一个用于前瞻性数据收集的目录，并将其应用于我们的数据集，使我们能够进行初步的描述性统计分析。这项研究展示了使用异质二手数据集进行数据管理的复杂性，并深入了解了使用二手数据开展抗菌药物耐药性监测计划的早期阶段。
