Buda S, Tolksdorf K, Schuler E, Kuhlen R, Haas W
Robert Koch Institute, Department for infectious disease epidemiology, Respiratory infections unit, Seestr. 10, 13353, Berlin, Germany.
HELIOS KLINIKEN GmbH, Friedrichstraße 136, 10117, Berlin, Germany.
BMC Public Health. 2017 Jun 30;17(1):612. doi: 10.1186/s12889-017-4515-1.
Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons.
Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system.
The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used.
In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD.
按照世界卫生组织对流感的建议,对严重急性呼吸道感染(SARI)进行症状监测对于评估疾病的严重程度很重要。2015年,罗伯特·科赫研究所(RKI)开始与一家私立医院网络合作,利用基于国际疾病分类第十版(ICD - 10)编码的病例数据开发一个SARI监测系统。对该系统的首次描述展示了其在五个流感季节分析中的应用。
自2015年第40周起,每周更新的出院患者总体及呼吸道疾病患者的匿名数据(包括主要和次要诊断的ICD - 10编码)从网络数据中心传输至RKI。还提供了回顾性数据集。我们的描述性分析基于2012年第1周至2016年第20周期间收集的47家哨点医院的数据。我们基于ICD - 用于呼吸道感染(J09 - J22)出院诊断的10编码应用了三种不同的SARI病例定义(CD):基本病例定义(BCD),仅使用主要诊断;敏感病例定义(SCD),使用主要和次要诊断;及时病例定义(TCD),仅使用住院时间不超过一周患者的主要诊断。我们比较了这些病例定义在严重程度、年龄分布和及时性方面的情况,并与国家初级保健哨点系统的结果进行了比较。
2013年,47家哨点医院涵盖了德国所有医院出院患者的3.6%。SCD包含的患者数量是BCD的2.2倍,是TCD的3.6倍。SARI病例的时间进程与初级保健监测结果和流感病毒传播情况吻合良好。符合TCD的患者在3周后已全部上报,这在几种病例定义中是最快的。在5岁以下最年轻年龄组的患者中,SARI病例的比例最高。然而,60岁及以上年龄组的SARI病例贡献最多。这与所使用的病例定义无关。
总体而言,现有数据和实施的报告系统适合为德国住院患者的SARI提供及时可靠的信息。我们基于ICD - 10的方法被证明对满足SARI监测要求很有用。这种探索性方法为数据结构提供了有价值的见解,并强调了不同病例定义的优势。