Evidence map›Paper›PMID 40317387›Full record

ArticleClinical drug investigation2025

Cost-Effectiveness Analysis of Nirsevimab for the Prevention of Respiratory Syncytial Virus among Italian Infants.

Chiara Bini, A Marcellusi, D Cazzato, B Muzii, S Soudani, E Bozzola, F Midulla, E Baraldi, P Bonanni, S Boccalini and 1 more

Abstract read
In one paragraph

Article in Clinical drug investigation, 2025. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
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  5. Article
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

11 authors.

Chiara BiniCentre for Economics and International Studies-Economic Evaluation and Health Technology Assessment, Faculty of Economics, University of Rome "Tor Vergata", via Columbia 2, 00133, Rome, Italy. chiara.bini@uniroma2.it.ORCID http://orcid.org/0000-0001-5704-6542
A MarcellusiDepartment of Pharmaceutical Sciences-DISFARM, University of Milan, via G. Colombo, 71, 20133, Milan, Italy.
D CazzatoCentre for Economics and International Studies-Economic Evaluation and Health Technology Assessment, Faculty of Economics, University of Rome "Tor Vergata", via Columbia 2, 00133, Rome, Italy.
B MuziiSanofi, Rome, Italy.
S SoudaniSanofi, Lyon, France.
E BozzolaIRCCS Bambino Gesù Children Hospital, Rome, Italy.
F MidullaDepartment of Maternal Science, Paediatric Emergency Service, Sapienza University of Rome, Rome, Italy.
E BaraldiDepartment of Woman's and Child's Health, University Hospital of Padova, Padua, Italy.
P BonanniDepartment of Health Sciences, University of Florence, 50134, Florence, Italy.
S BoccaliniDepartment of Health Sciences, University of Florence, 50134, Florence, Italy.
L OrfeoNeonatal Intensive Care Unit, "Isola Tiberina Hospital-Gemelli Isola", 00186, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveRespiratory syncytial virus (RSV) is a major global cause of childhood respiratory infections, globally linked to significant morbidity and mortality, particularly leading in hospitalizations and death among infants below 1 year of age. A cost-effectiveness analysis was conducted to estimate the economically justifiable price (EJP) of nirsevimab, a new prophylaxis strategy protecting all infants against RSV lower respiratory tract infections (LRTIs), compared with a strategy consisting of palivizumab, protecting only high-risk infants and no preventive intervention for others.

methodsA static decision tree model previously published to evaluate the clinical and economic burden of RSV in Italy was used to determine the EJP of nirsevimab for the prevention of RSV medically attended lower respiratory tract infections (RSV-MA-LRTIs) in all infants experiencing their first RSV season, to become a cost-effective alternative compared with palivizumab only in high-risk infants and no preventive intervention for others. The EJP was estimated considering three different willingness-to-pay (WTP) thresholds. The National Health Service (NHS) perspective was considered in the base-case. Direct costs considered in the analysis were acquisition and administration costs of prophylaxis, costs of managing RSV infection (inpatient and outpatient care, and emergency department visits) and costs of handling complications following hospitalization per RSV event. Indirect costs were evaluated in the scenario analysis as productivity loss due to premature death for RSV infection. A discount rate of 3.0% was applied only to mid-long-term costs and outcomes.

resultsFrom the NHS perspective, over the first RSV season, nirsevimab in an all-infants population could be a cost-effective approach compared with palivizumab only in high-risk infants, with an EJP equal to €267, €365, and €400 considering a WTP threshold of €0, €22,000, and €30,000 per QALY saved, respectively. Considering only the palivizumab-eligible population, the model estimated that nirsevimab could be a cost-effective approach with an EJP equal to €3,467, €3,633, and €3,694 considering a WTP threshold of €0, €22,000, and €30,000 per QALY saved, respectively.

conclusionsA prophylaxis strategy against RSV infection targeting all infants with nirsevimab could represent a cost-effective option for both NHS and societal perspectives, and supports the implementation and the equity of RSV prevention for all infants.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntiviral AgentsRespiratory Syncytial Virus InfectionsCost-Benefit AnalysisCost-Effectiveness AnalysisDecision TreesHumansInfantInfant, NewbornItalyPalivizumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntiviral AgentsPalivizumab

Identifiers

PMID40317387
PMCPMC12144043

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.