Evidence map›Paper›PMID 38851739›Full record

ArticleBMC infectious diseases2024

The Hospital Burden of Flu in Italy: a retrospective study on administrative data from season 2014-2015 to 2018-2019.

Riccardo Cipelli, Serena Falato, Eleonora Lusito, Giovanni Maifredi, Michele Montedoro, Paola Valpondi, Alberto Zucchi, Maria Vittoria Azzi, Laura Zanetta, Maria Rosaria Gualano and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. The economic burden of seasonal influenza - China, 2010-2019.Human vaccines & immunotherapeutics · 2026
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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

13 authors.

Riccardo CipelliIQVIA Solutions Italy Srl, Via Fabio Filzi 29, Milan, 20124, Italy. riccardo.cipelli@iqvia.com.
Serena FalatoIQVIA Solutions Italy Srl, Via Fabio Filzi 29, Milan, 20124, Italy.
Eleonora LusitoIQVIA Solutions Italy Srl, Via Fabio Filzi 29, Milan, 20124, Italy.
Giovanni MaifrediSS Epidemiologia, Agenzia di Tutela della Salute di Brescia, Brescia, Italy.
Michele MontedoroUVARP ASL Foggia, San Severo c/o Ospedale, Italy.
Paola ValpondiULSS 8 Berica, Vicenza, Italy.
Alberto ZucchiUOC Servizio Epidemiologia presso ATS di Bergamo, Bergamo, Italy.
Maria Vittoria AzziSanofi SpA, Milan, Italy.
Laura ZanettaSanofi SpA, Milan, Italy.
Maria Rosaria GualanoSaint Camillus International University of Health Sciences, Rome, Italy.
Entela XoxiUniversità Cattolica del Sacro Cuore, Alta Scuola di Economia e Management dei Sistemi Sanitari (ALTEMS), Rome, Italy.
Paola Giovanna Marchisio *Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, University of Milan, Milan, Italy.
Silvana Castaldi *Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvery year in Italy, influenza affects about 4 million people. Almost 5% of them are hospitalised. During peak illness, enormous pressure is placed on healthcare and economic systems. This study aims to quantify the clinical and economic burden of severe influenza during 5 epidemic seasons (2014-2019) from administrative claims data.

methodsPatients hospitalized with a diagnosis of influenza between October 2014, and April 2019, were analyzed. Clinical characteristics and administrative information were retrieved from health-related Administrative Databases (ADs) of 4 Italian Local Health Units (LHUs). The date of first admission was set as the Index Date (ID). A follow-up period of six months after ID was considered to account for complications and re-hospitalizations, while a lookback period (2 years before ID) was set to assess the prevalence of underlying comorbidities.

resultsOut of 2,333 patients with severe influenza, 44.1% were adults ≥ 65, and 25.6% young individuals aged 0-17. 46.8% had comorbidities (i.e., were at risk), mainly cardiovascular and metabolic diseases (45.3%), and chronic conditions (24.7%). The highest hospitalization rates were among the elderly (≥ 75) and the young individuals (0-17), and were 37.6 and 19.5/100,000 inhabitants/year, respectively. The average hospital stay was 8 days (IQR: 14 - 4). It was higher for older individuals (≥ 65 years, 11 days, [17 - 6]) and for those with comorbidities (9 days, [16 - 6]), p-value < 0.001. Similarly, mortality was higher in elderly and those at risk (p-value < 0.001). Respiratory complications occurred in 12.7% of patients, and cardiovascular disorders in 5.9%. Total influenza-related costs were €9.7 million with hospitalization accounting for 95% of them. 47.3% of hospitalization costs were associated with individuals ≥ 65 and 52.9% with patients at risk. The average hospitalisation cost per patient was € 4,007.

conclusionsThis retrospective study showed that during the 2014-2019 influenza seasons in Italy, individuals of extreme ages and those with pre-existing medical conditions, were more likely to be hospitalized with severe influenza. Together with complications and ageing, they worsen patient's outcome and may lead to a prolonged hospitalization, thus increasing healthcare utilization and costs. Our data generate real-world evidence on the burden of influenza, useful to inform public health decision-making.

Indexed as

HospitalizationInfluenza, HumanAdolescentAdultAgedAged, 80 and overChildChild, PreschoolComorbidityCost of IllnessDatabases, FactualFemaleHumansInfantInfant, NewbornItalyAdministrative databaseBurdenComorbiditiesComplicationsCostsHospitalizationInfluenzaLocal health unitsSecondary health care

Identifiers

PMID38851739
PMCPMC11162570

What OpenQuestion holds

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LicenceCC BY
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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.