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Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons

Authors: S. Buda, K. Tolksdorf, E. Schuler, R. Kuhlen, W. Haas

Published in: BMC Public Health | Issue 1/2017

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Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.
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Literature
1.
go back to reference Szecsenyi J, Uphoff H, Ley S, Brede HD. Influenza surveillance: experiences from establishing a sentinel surveillance system in Germany. J Epidemiol Community Health. 1995;49(Suppl 1):9–13.CrossRefPubMedPubMedCentral Szecsenyi J, Uphoff H, Ley S, Brede HD. Influenza surveillance: experiences from establishing a sentinel surveillance system in Germany. J Epidemiol Community Health. 1995;49(Suppl 1):9–13.CrossRefPubMedPubMedCentral
4.
go back to reference Martirosyan L, Paget WJ, Jorgensen P, Brown CS, Meerhoff TJ, Pereyaslov D, et al. The community impact of the 2009 influenza pandemic in the WHO European region: a comparison with historical seasonal data from 28 countries. BMC Infect Dis. 2012;12:36.CrossRefPubMedPubMedCentral Martirosyan L, Paget WJ, Jorgensen P, Brown CS, Meerhoff TJ, Pereyaslov D, et al. The community impact of the 2009 influenza pandemic in the WHO European region: a comparison with historical seasonal data from 28 countries. BMC Infect Dis. 2012;12:36.CrossRefPubMedPubMedCentral
6.
go back to reference der Heiden MA, Kopke K, Buda S, Buchholz U, Haas W. Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11. PLoS One. 2013;8(7):e64593.CrossRef der Heiden MA, Kopke K, Buda S, Buchholz U, Haas W. Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11. PLoS One. 2013;8(7):e64593.CrossRef
7.
go back to reference Krause G, Gilsdorf A, Becker J, Bradt K, Dreweck C, Gartner B, et al. first exchange of experiences concerning the H1N1 pandemic in Germany 2009/2010: report on a workshop held march 22-23, 2010, in Berlin. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(5):510–9.CrossRefPubMed Krause G, Gilsdorf A, Becker J, Bradt K, Dreweck C, Gartner B, et al. first exchange of experiences concerning the H1N1 pandemic in Germany 2009/2010: report on a workshop held march 22-23, 2010, in Berlin. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(5):510–9.CrossRefPubMed
8.
go back to reference Schaade L, Reuss A, Haas W, Krause G. Pandemic preparedness planning. What did we learn from the influenza pandemic (H1N1) 2009? Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(12):1277–82.CrossRefPubMed Schaade L, Reuss A, Haas W, Krause G. Pandemic preparedness planning. What did we learn from the influenza pandemic (H1N1) 2009? Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(12):1277–82.CrossRefPubMed
9.
go back to reference Adlhoch C, Wadl M, Behnke M, Pena Diaz LA, Clausmeyer J, Eckmanns T. Pandemic influenza a(H1)pdm09 in hospitals and intensive care units - results from a new hospital surveillance, Germany 2009/2010. Influenza Other Respir Viruses. 2012;6(6):e162–8.CrossRefPubMedPubMedCentral Adlhoch C, Wadl M, Behnke M, Pena Diaz LA, Clausmeyer J, Eckmanns T. Pandemic influenza a(H1)pdm09 in hospitals and intensive care units - results from a new hospital surveillance, Germany 2009/2010. Influenza Other Respir Viruses. 2012;6(6):e162–8.CrossRefPubMedPubMedCentral
10.
go back to reference Nachtnebel M, Greutelaers B, Falkenhorst G, Jorgensen P, Dehnert M, Schweiger B, et al. Lessons from a one-year hospital-based surveillance of acute respiratory infections in Berlin- comparing case definitions to monitor influenza. BMC Public Health. 2012;12:245.CrossRefPubMedPubMedCentral Nachtnebel M, Greutelaers B, Falkenhorst G, Jorgensen P, Dehnert M, Schweiger B, et al. Lessons from a one-year hospital-based surveillance of acute respiratory infections in Berlin- comparing case definitions to monitor influenza. BMC Public Health. 2012;12:245.CrossRefPubMedPubMedCentral
11.
go back to reference World Health Organization: Evolution of a pandemic A(H1N1) 2009. April 2009 – August 2010. Edited by World Health Organization, 2nd edition edn. World Health Organization: Evolution of a pandemic A(H1N1) 2009. April 2009 – August 2010. Edited by World Health Organization, 2nd edition edn.
12.
go back to reference Buda S, Köpke K, Haas W. Epidemiological characteristics of the influenza pandemic (H1N1) 2009 in Germany based on the mandatory notification of cases. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(12):1223–30.CrossRefPubMed Buda S, Köpke K, Haas W. Epidemiological characteristics of the influenza pandemic (H1N1) 2009 in Germany based on the mandatory notification of cases. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(12):1223–30.CrossRefPubMed
13.
go back to reference Van Kerkhove MD, Vandemaele KA, Shinde V, Jaramillo-Gutierrez G, Koukounari A, Donnelly CA, et al. Risk factors for severe outcomes following 2009 influenza a (H1N1) infection: a global pooled analysis. PLoS Med. 2011;8(7):e1001053.CrossRefPubMedPubMedCentral Van Kerkhove MD, Vandemaele KA, Shinde V, Jaramillo-Gutierrez G, Koukounari A, Donnelly CA, et al. Risk factors for severe outcomes following 2009 influenza a (H1N1) infection: a global pooled analysis. PLoS Med. 2011;8(7):e1001053.CrossRefPubMedPubMedCentral
14.
go back to reference World Health Organization: WHO Global Epidemiological Surveillance Standards for Influenza (January 2014). In Geneva; 2014. World Health Organization: WHO Global Epidemiological Surveillance Standards for Influenza (January 2014). In Geneva; 2014.
15.
go back to reference Meerhoff TJ, Simaku A, Ulqinaku D, Torosyan L, Gribkova N, Shimanovich V, et al. Surveillance for severe acute respiratory infections (SARI) in hospitals in the WHO European region - an exploratory analysis of risk factors for a severe outcome in influenza-positive SARI cases. BMC Infect Dis. 2015;15(1):1.CrossRefPubMedPubMedCentral Meerhoff TJ, Simaku A, Ulqinaku D, Torosyan L, Gribkova N, Shimanovich V, et al. Surveillance for severe acute respiratory infections (SARI) in hospitals in the WHO European region - an exploratory analysis of risk factors for a severe outcome in influenza-positive SARI cases. BMC Infect Dis. 2015;15(1):1.CrossRefPubMedPubMedCentral
17.
go back to reference Benoit SR, Burkom H, McIntyre AF, Kniss K, Brammer L, Finelli L, et al. Pneumonia in US hospitalized patients with influenza-like illness: BioSense, 2007-2010. Epidemiol Infect. 2013;141(4):805–15.CrossRefPubMed Benoit SR, Burkom H, McIntyre AF, Kniss K, Brammer L, Finelli L, et al. Pneumonia in US hospitalized patients with influenza-like illness: BioSense, 2007-2010. Epidemiol Infect. 2013;141(4):805–15.CrossRefPubMed
20.
go back to reference Köpke K, Prahm K, Buda S, Haas W. Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEEDARI) in Germany. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016;59(11):1484–91.CrossRefPubMed Köpke K, Prahm K, Buda S, Haas W. Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEEDARI) in Germany. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016;59(11):1484–91.CrossRefPubMed
24.
go back to reference Cromer D, van Hoek AJ, Jit M, Edmunds WJ, Fleming D, Miller E. The burden of influenza in England by age and clinical risk group: a statistical analysis to inform vaccine policy. The Journal of infection. 2014;68(4):363–71.CrossRefPubMed Cromer D, van Hoek AJ, Jit M, Edmunds WJ, Fleming D, Miller E. The burden of influenza in England by age and clinical risk group: a statistical analysis to inform vaccine policy. The Journal of infection. 2014;68(4):363–71.CrossRefPubMed
25.
go back to reference Falconer E, Keddy M, Milne WK. Impact of the H1N1 influenza pandemic in two rural emergency departments. Rural Remote Health. 2012;12:2063.PubMed Falconer E, Keddy M, Milne WK. Impact of the H1N1 influenza pandemic in two rural emergency departments. Rural Remote Health. 2012;12:2063.PubMed
26.
go back to reference Huang QS, Baker M, McArthur C, Roberts S, Williamson D, Grant C, et al. Implementing hospital-based surveillance for severe acute respiratory infections caused by influenza and other respiratory pathogens in New Zealand. Western Pacific surveillance and response journal : WPSAR. 2014;5(2):23–30.CrossRefPubMedPubMedCentral Huang QS, Baker M, McArthur C, Roberts S, Williamson D, Grant C, et al. Implementing hospital-based surveillance for severe acute respiratory infections caused by influenza and other respiratory pathogens in New Zealand. Western Pacific surveillance and response journal : WPSAR. 2014;5(2):23–30.CrossRefPubMedPubMedCentral
27.
go back to reference McLeod M, Mason K, White P, Read D. The 2005 wellington influenza outbreak: syndromic surveillance of wellington hospital emergency department activity may have provided early warning. Aust N Z J Public Health. 2009;33(3):289–94.CrossRefPubMed McLeod M, Mason K, White P, Read D. The 2005 wellington influenza outbreak: syndromic surveillance of wellington hospital emergency department activity may have provided early warning. Aust N Z J Public Health. 2009;33(3):289–94.CrossRefPubMed
28.
go back to reference Pan American Health Organization. Operational guidelines for intensified national SARI surveillance. Washington, D.C.: Edited by PAHO; 2011. Pan American Health Organization. Operational guidelines for intensified national SARI surveillance. Washington, D.C.: Edited by PAHO; 2011.
29.
go back to reference Priest P, Kelly H. Influenza case definitions need to be fit for purpose. Euro Surveill. 2015;20(25):29–30.CrossRefPubMed Priest P, Kelly H. Influenza case definitions need to be fit for purpose. Euro Surveill. 2015;20(25):29–30.CrossRefPubMed
30.
go back to reference Zwaans WA, Mallia P, van Winden ME, Rohde GG. The relevance of respiratory viral infections in the exacerbations of chronic obstructive pulmonary disease-a systematic review. J Clin Virol. 2014;61(2):181–8.CrossRefPubMed Zwaans WA, Mallia P, van Winden ME, Rohde GG. The relevance of respiratory viral infections in the exacerbations of chronic obstructive pulmonary disease-a systematic review. J Clin Virol. 2014;61(2):181–8.CrossRefPubMed
31.
go back to reference Kaiser SV, Bakel LA, Okumura MJ, Auerbach AD, Rosenthal J, Cabana MD. Risk factors for prolonged length of stay or complications during pediatric respiratory hospitalizations. Hospital pediatrics. 2015;5(9):461–73.CrossRefPubMed Kaiser SV, Bakel LA, Okumura MJ, Auerbach AD, Rosenthal J, Cabana MD. Risk factors for prolonged length of stay or complications during pediatric respiratory hospitalizations. Hospital pediatrics. 2015;5(9):461–73.CrossRefPubMed
32.
go back to reference Smith C, Curran MD, Roddick I, Reacher M. Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza a(H1N1)pdm09 at a UK teaching hospital. Epidemiol Infect. 2015;143(6):1125–8.CrossRefPubMed Smith C, Curran MD, Roddick I, Reacher M. Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza a(H1N1)pdm09 at a UK teaching hospital. Epidemiol Infect. 2015;143(6):1125–8.CrossRefPubMed
33.
go back to reference Molbak K, Espenhain L, Nielsen J, Tersago K, Bossuyt N, Denissov G, Baburin A, Virtanen M, Fouillet A, Sideroglou T et al: Excess mortality among the elderly in European countries, December 2014 to February 2015. Euro Surveill 2015, 20(11). Molbak K, Espenhain L, Nielsen J, Tersago K, Bossuyt N, Denissov G, Baburin A, Virtanen M, Fouillet A, Sideroglou T et al: Excess mortality among the elderly in European countries, December 2014 to February 2015. Euro Surveill 2015, 20(11).
34.
go back to reference Suess T, Remschmidt C, Schink S, Schweiger B, Heider A, Milde J, et al., Comparison of shedding characteristics of seasonal influenza virus (sub)types and influenza A(H1N1)pdm09; Germany. PLoS One. 2007-2011:2012. Suess T, Remschmidt C, Schink S, Schweiger B, Heider A, Milde J, et al., Comparison of shedding characteristics of seasonal influenza virus (sub)types and influenza A(H1N1)pdm09; Germany. PLoS One. 2007-2011:2012.
35.
go back to reference Rothberg MB, Haessler SD, Brown RB. Complications of viral influenza. Am J Med. 2008;121(4):258–64.CrossRefPubMed Rothberg MB, Haessler SD, Brown RB. Complications of viral influenza. Am J Med. 2008;121(4):258–64.CrossRefPubMed
36.
go back to reference Louie JK, Hacker JK, Gonzales R, Mark J, Maselli JH, Yagi S, et al. Characterization of viral agents causing acute respiratory infection in a san Francisco University medical center clinic during the influenza season. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2005;41(6):822–8.CrossRef Louie JK, Hacker JK, Gonzales R, Mark J, Maselli JH, Yagi S, et al. Characterization of viral agents causing acute respiratory infection in a san Francisco University medical center clinic during the influenza season. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2005;41(6):822–8.CrossRef
37.
go back to reference Gutierrez-Cuadra M, Gonzalez-Fernandez JL, Rodriguez-Cundin P, Farinas-Alvarez C, San Juan MV, Parra JA, et al. Clinical characteristics and outcome of patients with pandemic 2009 influenza a(H1N1)v virus infection admitted to hospitals with different levels of health-care. Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia. 2012;25(1):56–64. Gutierrez-Cuadra M, Gonzalez-Fernandez JL, Rodriguez-Cundin P, Farinas-Alvarez C, San Juan MV, Parra JA, et al. Clinical characteristics and outcome of patients with pandemic 2009 influenza a(H1N1)v virus infection admitted to hospitals with different levels of health-care. Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia. 2012;25(1):56–64.
38.
go back to reference Hayward AC, Fragaszy EB, Bermingham A, Wang L, Copas A, Edmunds WJ, et al. Comparative community burden and severity of seasonal and pandemic influenza: results of the flu watch cohort study. Lancet Respir Med. 2014;2(6):445–54.CrossRefPubMed Hayward AC, Fragaszy EB, Bermingham A, Wang L, Copas A, Edmunds WJ, et al. Comparative community burden and severity of seasonal and pandemic influenza: results of the flu watch cohort study. Lancet Respir Med. 2014;2(6):445–54.CrossRefPubMed
Metadata
Title
Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons
Authors
S. Buda
K. Tolksdorf
E. Schuler
R. Kuhlen
W. Haas
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4515-1

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