Estimating severity of influenza epidemics from severe acute respiratory infections (SARI) in intensive care units

被引:14
作者
van Asten, Liselotte [1 ]
Pinzon, Angie Luna [1 ]
de Lange, Dylan W. [2 ,3 ]
de Jonge, Evert [2 ,4 ]
Dijkstra, Frederika [1 ]
Marbus, Sierk [1 ]
Donker, Ge A. [5 ]
van der Hoek, Wim [1 ]
de Keizer, Nicolette F. [2 ,6 ]
机构
[1] Natl Inst Publ Hlth & Environm RIVM, Ctr Infect Dis Control Netherlands, Bilthoven, Netherlands
[2] Natl Intens Care Evaluat, Amsterdam, Netherlands
[3] Univ Utrecht, Univ Med Ctr, Dept Intens Care Med, Utrecht, Netherlands
[4] Leiden Univ, Med Ctr, Dept Intens Care, Leiden, Netherlands
[5] Nivel Primary Care Database Sentinel Practices, Utrecht, Netherlands
[6] Amsterdam UMC, Dept Med Informat, Amsterdam Publ Hlth Res Inst, Locat AMC, Amsterdam, Netherlands
来源
CRITICAL CARE | 2018年 / 22卷
关键词
Severe acute respiratory infections; SARI; Intensive care; Influenza; Pneumonia; Severity; Burden; COMMUNITY-ACQUIRED PNEUMONIA; MORTALITY; SURVEILLANCE; ILLNESS; BURDEN; VIRUS; TIME;
D O I
10.1186/s13054-018-2274-8
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BackgroundWhile influenza-like-illness (ILI) surveillance is well-organized at primary care level in Europe, few data are available on more severe cases. With retrospective data from intensive care units (ICU) we aim to fill this current knowledge gap. Using multiple parameters proposed by the World Health Organization we estimate the burden of severe acute respiratory infections (SARI) in the ICU and how this varies between influenza epidemics.MethodsWe analyzed weekly ICU admissions in the Netherlands (2007-2016) from the National Intensive Care Evaluation (NICE) quality registry (100% coverage of adult ICUs in 2016; population size 14 million) to calculate SARI incidence, SARI peak levels, ICU SARI mortality, SARI mean Acute Physiology and Chronic Health Evaluation (APACHE) IV score, and the ICU SARI/ILI ratio. These parameters were calculated both yearly and per separate influenza epidemic (defined epidemic weeks). A SARI syndrome was defined as admission diagnosis being any of six pneumonia or pulmonary sepsis codes in the APACHE IV prognostic model. Influenza epidemic periods were retrieved from primary care sentinel influenza surveillance data.ResultsAnnually, an average of 13% of medical admissions to adult ICUs were for a SARI but varied widely between weeks (minimum 5% to maximum 25% per week). Admissions for bacterial pneumonia (59%) and pulmonary sepsis (25%) contributed most to ICU SARI. Between the eight different influenza epidemics under study, the value of each of the severity parameters varied. Per parameter the minimum and maximum of those eight values were as follows: ICU SARI incidence 558-2400 cumulated admissions nationwide, rate 0.40-1.71/10,000 inhabitants; average APACHE score 71-78; ICU SARI mortality 13-20%; ICU SARI/ILI ratio 8-17 cases per 1000 expected medically attended ILI in primary care); peak-incidence 101-188 ICU SARI admissions in highest-incidence week, rate 0.07-0.13/10,000 population).ConclusionsIn the ICU there is great variation between the yearly influenza epidemic periods in terms of different influenza severity parameters. The parameters also complement each other by reflecting different aspects of severity. Prospective syndromic ICU SARI surveillance, as proposed by the World Health Organization, thereby would provide insight into the severity of ongoing influenza epidemics, which differ from season to season.
引用
收藏
页数:10
相关论文
共 39 条
[1]   Space-time analysis of pneumonia hospitalisations in the Netherlands [J].
Beninca, Elisa ;
van Boven, Michiel ;
Hagenaars, Thomas ;
van der Hoek, Wim .
PLOS ONE, 2017, 12 (07)
[2]   Pneumonia in US hospitalized patients with influenza-like illness: BioSense, 2007-2010 [J].
Benoit, S. R. ;
Burkom, H. ;
McIntyre, A. F. ;
Kniss, K. ;
Brammer, L. ;
Finelli, L. ;
Jain, S. .
EPIDEMIOLOGY AND INFECTION, 2013, 141 (04) :805-815
[3]   Developing a system to estimate the severity of influenza infection in England: findings from a hospital-based surveillance system between 2010/2011 and 2014/2015 [J].
Boddington, N. L. ;
Verlander, N. Q. ;
Pebody, R. G. .
EPIDEMIOLOGY AND INFECTION, 2017, 145 (07) :1461-1470
[4]   A New Sentinel Surveillance System for Severe Influenza in England Shows a Shift in Age Distribution of Hospitalised Cases in the Post-Pandemic Period [J].
Bolotin, Shelly ;
Pebody, Richard ;
White, Peter J. ;
McMenamin, James ;
Perera, Luke ;
Nguyen-Van-Tam, Jonathan S. ;
Barlow, Thomas ;
Watson, John M. .
PLOS ONE, 2012, 7 (01)
[5]  
Bonmarin I., 2015, EURO SURVEILL, V20
[6]  
Brandsema P, 2012, Annual report surveillance respiratory infectious diseases 2011
[7]  
Brinkman S, 2013, CRIT CARE MED, V41, P1229, DOI 10.1097/CCM.0b013e31827ca4e1
[8]   Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons [J].
Buda, S. ;
Tolksdorf, K. ;
Schuler, E. ;
Kuhlen, R. ;
Haas, W. .
BMC PUBLIC HEALTH, 2017, 17
[9]   Community-acquired pneumonia in the United Kingdom: a call to action [J].
James Chalmers ;
James Campling ;
Gillian Ellsbury ;
Peter M. Hawkey ;
Harish Madhava ;
Mary Slack .
Pneumonia, 9 (1)
[10]   Influenza and Community-acquired Pneumonia Interactions: The Impact of Order and Time of Infection on Population Patterns [J].
Davis, Brian M. ;
Aiello, Allison E. ;
Dawid, Suzanne ;
Rohani, Pejman ;
Shrestha, Sourya ;
Foxman, Betsy .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2012, 175 (05) :363-367