Department of Clinical Microbiology, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark;
Clin Epidemiol. 2010 Aug 9;2:171-8. doi: 10.2147/clep.s10139.
Bacteremia is associated with high morbidity and mortality. Improving prevention and treatment requires better knowledge of the disease and its prognosis. However, in order to study the entire spectrum of bacteremia patients, we need valid sources of information, prospective data collection, and complete follow-up. In North Denmark Region, all patients diagnosed with bacteremia have been registered in a population-based database since 1981. The information has been recorded prospectively since 1992 and the main variables are: the patient's unique civil registration number, date of sampling the first positive blood culture, date of admission, clinical department, date of notification of growth, place of acquisition, focus of infection, microbiological species, antibiogram, and empirical antimicrobial treatment. During the time from 1981 to 2008, information on 22,556 cases of bacteremia has been recorded. The civil registration number makes it possible to link the database to other medical databases and thereby build large cohorts with detailed longitudinal data that include hospital histories since 1977, comorbidity data, and complete follow-up of survival. The database is suited for epidemiological research and, presently, approximately 60 studies have been published. Other Danish departments of clinical microbiology have recently started to record the same information and a population base of 2.3 million will be available for future studies.
菌血症与高发病率和死亡率相关。为了改善预防和治疗,我们需要更好地了解该疾病及其预后。然而,为了研究菌血症患者的全貌,我们需要有效的信息来源、前瞻性数据收集和完整的随访。在丹麦北地区,自 1981 年以来,所有诊断为菌血症的患者都在一个基于人群的数据库中进行登记。自 1992 年以来,信息一直是前瞻性记录的,主要变量包括:患者独特的公民登记号码、首次阳性血培养样本的日期、入院日期、临床科室、生长通知日期、感染部位、感染源、微生物物种、药敏试验和经验性抗菌治疗。在 1981 年至 2008 年期间,共记录了 22556 例菌血症病例。公民登记号码使得将数据库与其他医疗数据库相关联成为可能,从而构建了具有详细纵向数据的大型队列,其中包括自 1977 年以来的住院记录、合并症数据和生存的完整随访。该数据库适合于进行流行病学研究,目前已经发表了大约 60 项研究。其他丹麦临床微生物学部门最近开始记录相同的信息,未来的研究将有 230 万人口的基础数据可用。