Abstract

BackgroundSyndromic 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.MethodsSince 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.ResultsThe 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.ConclusionsIn 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.

Highlights

  • Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza

  • The first was the Pandemic Hospital Based Surveillance (Pandemische Influenza Krankenhaus-Surveillance (PIKS)) that was implemented by the Robert Koch Institute (RKI) to collect data on hospital admissions diagnosed with laboratory confirmed influenza [9]

  • We described the establishment of an ICD-10-based inpatient syndromic sentinel system and its application to the analysis of five influenza seasons

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Summary

Introduction

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. Reports of ARI activity and corresponding results from virological sentinel surveillance are published yearround and data are sent to ECDC and WHO for inclusion in the international influenza surveillance networks (EISN, FluID, FluNet [2, 3]) This sentinel system (Working Group Influenza/Arbeitsgemeinschaft Influenza (AGI)) has proven its value in providing timely and reliable information on influenza activity in Germany and the burden of disease, especially during the pandemic 2009 [4,5,6]. The aim to establish a sustainable, timely and cost-efficient approach that could collect data during seasonal influenza epidemics and pandemics remained a priority

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