Evidence map›Paper›PMID 32530142›Full record

ArticleInfluenza and other respiratory viruses2020

The association between influenza infections in primary care and intensive care admissions for severe acute respiratory infection (SARI): A modelling approach.

Liselotte van Asten, Angie Luna Pinzon, Jan van de Kassteele, Gé Donker, Dylan W de Lange, Dave A Dongelmans, Nicolette F de Keizer, Wim van der Hoek

Open access · goldAbstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Liselotte van AstenCentre for Infectious Disease Control Netherlands, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.ORCID 0000-0002-4123-7595
Angie Luna PinzonCentre for Infectious Disease Control Netherlands, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Jan van de KassteeleCentre for Infectious Disease Control Netherlands, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Gé DonkerNivel Primary Care Database - sentinel practices, Utrecht, the Netherlands.
Dylan W de LangeNational Intensive Care Evaluation, Amsterdam, the Netherlands.
Dave A DongelmansNational Intensive Care Evaluation, Amsterdam, the Netherlands.
Nicolette F de KeizerNational Intensive Care Evaluation, Amsterdam, the Netherlands.
Wim van der HoekCentre for Infectious Disease Control Netherlands, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
National Institute for Public Health and the Environment · NLAmsterdam University Medical Centers · NLNetherlands Institute for Health Services Research · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of severe influenza virus infections is poorly known, for which surveillance of severe acute respiratory infection (SARI) is encouraged. Hospitalized SARI patients are however not always tested for influenza virus infection. Thus, to estimate the impact of influenza circulation we studied how influenza in primary care relates to intensive care unit (ICU) admissions using a modelling approach.

methodsWe used time-series regression modelling to estimate a) the number of SARI admissions to ICU associated with medically attended influenza infections in primary care; b) how this varies by season; and c) the time lag between SARI and influenza time series. We analysed weekly adult ICU admissions (registry data) and adult influenza incidence (primary care surveillance data) from July 2007 through June 2016.

resultsDepending on the year, 0% to 12% of annual SARI admissions were associated with influenza (0-554 in absolute numbers; population rate: 0/10 000-0.39/10 000 inhabitants), up to 27% during influenza epidemics. The average optimal fitting lag was +1 week (SARI trend preceding influenza by 1 week), varying between seasons (-1 to +4) with most seasons showing positive lags.

conclusionUp to 12% of yearly SARI admissions to adult ICU are associated with influenza, but with large year-to-year variation and higher during influenza epidemics. In most years, SARI increases earlier than medically attended influenza infections in the general population. SARI surveillance could thus complement influenza-like illness surveillance by providing an indication of the season-specific burden of severe influenza infections and potential early warning of influenza activity and severity.

Indexed as

Critical CareHospitalizationHumansIncidenceInfluenza, HumanIntensive Care UnitsModels, StatisticalPrimary Health CareRegression AnalysisRespiratory Tract InfectionsSeasonsSeverity of Illness IndexassociationILIinfluenzaintensive carepneumoniaregression modelSARIseasonalitySurveillancetime seriestrends

Identifiers

PMID32530142
PMCPMC7431650
OpenAlexW3035018004

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.