Evidence map›Paper›PMID 36071375›Full record

ArticleBMC infectious diseases2022

Excess hospitalizations and mortality associated with seasonal influenza in Portugal, 2008-2018.

Filipe Froes, Mafalda Carmo, Hugo Lopes, Geoffray Bizouard, Catarina Gomes, Margarida Martins, Hélène Bricout, Caroline de Courville, Jaime Correia de Sousa, Carlos Rabaçal and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 33 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

12 authors at 8 institutions in 3 countries.

Filipe FroesICU, Thorax Department, Centro Hospitalar Universitário Lisboa Norte, Av. Prof. Egas Moniz MB, 1649-028, Lisbon, Portugal. filipe.froes@gmail.com.
Mafalda CarmoIQVIA, Barcelona, Spain.
Hugo LopesIQVIA, Lisbon, Portugal.
Geoffray BizouardIQVIA, Paris, France.
Catarina GomesSanofi, Lisbon, Portugal.
Margarida MartinsSanofi, Lisbon, Portugal.
Hélène BricoutSanofi, Lyon, France.
Caroline de CourvilleSanofi, Lyon, France.
Jaime Correia de SousaLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
Carlos RabaçalVila Franca de Xira Hospital, Lisbon, Portugal.
João F RaposoAPDP and NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.
Carlos Robalo CordeiroPulmonology Department, Coimbra University Hospital, University of Coimbra, Coimbra, Portugal.
Sanofi (France) · FRUniversidade Nova de Lisboa · PTCentro Hospitalar Lisboa Norte · PTHospital Vila Franca de Xira · PTInstituto Químico Biológico · ESIQVIA (France) · FRUniversity of Coimbra · PTUniversity of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza can have a domino effect, triggering severe conditions and leading to hospitalization or even death. Since influenza testing is not routinely performed, statistical modeling techniques are increasingly being used to estimate annual hospitalizations and deaths associated with influenza, to overcome the known underestimation from registers coded with influenza-specific diagnosis. The aim of this study was to estimate the clinical and economic burden of severe influenza in Portugal.

methodsThe study comprised ten epidemic seasons (2008/09-2017/18) and used two approaches: (i) a direct method of estimating the seasonal influenza hospitalization incidence, based on the number of National Health Service hospitalizations with influenza-specific International Classification of Diseases (ICD) codes (ICD-9: 487-488; ICD-10: J09-J11), as primary or secondary diagnosis; (ii) an indirect method of estimating excess hospitalizations and deaths using broader groups of ICD codes in time-series models, computed for six age groups and four groups of diagnoses: pneumonia or influenza (ICD-9: 480-488, 517.1; ICD-10: J09-J18), respiratory (ICD-9: 460-519; ICD-10: J00-J99), respiratory or cardiovascular (R&C, ICD-9: 390-459, 460-519; ICD-10: I00-I99, J00-J99), and all-cause. Means are reported excluding the H1N1pdm09 pandemic (2009/10).

resultsThe mean number of hospitalizations coded as due to influenza per season was 1,207, resulting in 11.6 cases per 100,000 people. The mean direct annual cost of these hospitalizations was €3.9 million, of which 78.6% was generated by patients with comorbidities. Mean annual influenza-associated R&C hospitalizations were estimated at 5356 (min: 456; max: 8776), corresponding to 51.5 cases per 100,000 (95% CI: 40.9-62.0) for all age groups and 199.6 (95% CI: 163.9-235.8) for the population aged ≥ 65 years. The mean direct annual cost of the estimated excess R&C hospitalizations was €15.2 million for all age groups and €12.8 million for the population aged ≥ 65 years. Mean annual influenza-associated all-cause deaths per 100,000 people were estimated at 22.7 for all age groups.

conclusionsThe study findings suggest that there is an under-detection of influenza in the Portuguese population. A high burden of severe influenza remains to be addressed, not only in the elderly population but also in younger people.

Indexed as

Influenza, HumanAgedHospitalizationHumansPandemicsPortugalSeasonsState MedicineBurdenCardiovascularExcessHospitalizationInfluenzaMortalityPortugalRespiratory

Identifiers

PMID36071375
PMCPMC9450401
OpenAlexW4294875707

What OpenQuestion holds

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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.