Evidence map›Paper›PMID 33637075›Full record

ReviewRespiratory research2021

Aerosol drug delivery to spontaneously-breathing preterm neonates: lessons learned.

Federico Bianco, Fabrizio Salomone, Ilaria Milesi, Xabier Murgia, Sauro Bonelli, Elena Pasini, Raffaele Dellacà, Maria Luisa Ventura, Jane Pillow

Open access · goldAbstract readReview
In one paragraph

Review in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Use of mucolytics and inhaled antibiotics in the NICU.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  10. Behavior of Microbubbles on Air-Aqueous Interfaces.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Journal of aerosol medicine and pulmonary drug delivery · 2022
    Article
  19. Article
  20. 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

9 authors at 5 institutions in 3 countries.

Federico BiancoDepartment of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.P.A., 43122, Parma, Italy. f.bianco@chiesi.com.ORCID http://orcid.org/0000-0002-5327-0878
Fabrizio SalomoneDepartment of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.P.A., 43122, Parma, Italy.
Ilaria MilesiDepartment of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.P.A., 43122, Parma, Italy.
Xabier MurgiaScientific Consultant, 48640, Bilbao, Spain.
Sauro BonelliDepartment of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.P.A., 43122, Parma, Italy.
Elena PasiniDepartment of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.P.A., 43122, Parma, Italy.
Raffaele DellacàTechRes Lab, Dipartimento Di Elettronica, Informazione E Bioingegneria (DEIB), Politecnico Di Milano University, Milano, Italy.
Maria Luisa VenturaNeonatal Intensive Care Unit, Fondazione MBBM-ASST-Monza, Monza, Italy.
Jane PillowSchool of Human Sciences, University of Western Australia, Perth, Australia.
Chiesi (Italy) · ITChiesi Foundation · ITFondazione Lanza · ITPolitecnico di Milano · ITThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivery of medications to preterm neonates receiving non-invasive ventilation (NIV) represents one of the most challenging scenarios for aerosol medicine. This challenge is highlighted by the undersized anatomy and the complex (patho)physiological characteristics of the lungs in such infants. Key physiological restraints include low lung volumes, low compliance, and irregular respiratory rates, which significantly reduce lung deposition. Such factors are inherent to premature birth and thus can be regarded to as the intrinsic factors that affect lung deposition. However, there are a number of extrinsic factors that also impact lung deposition: such factors include the choice of aerosol generator and its configuration within the ventilation circuit, the drug formulation, the aerosol particle size distribution, the choice of NIV type, and the patient interface between the delivery system and the patient. Together, these extrinsic factors provide an opportunity to optimize the lung deposition of therapeutic aerosols and, ultimately, the efficacy of the therapy.In this review, we first provide a comprehensive characterization of both the intrinsic and extrinsic factors affecting lung deposition in premature infants, followed by a revision of the clinical attempts to deliver therapeutic aerosols to premature neonates during NIV, which are almost exclusively related to the non-invasive delivery of surfactant aerosols. In this review, we provide clues to the interpretation of existing experimental and clinical data on neonatal aerosol delivery and we also describe a frame of measurable variables and available tools, including in vitro and in vivo models, that should be considered when developing a drug for inhalation in this important but under-served patient population.

Indexed as

Nebulizers and VaporizersAdministration, InhalationAerosolsBronchodilator AgentsDrug Delivery SystemsHumansInfant, NewbornNoninvasive VentilationPremature BirthRespiratory MechanicsAerosolsBronchodilator AgentsAerosol deliveryNebulizerNon-invasive ventilationPremature infantsPulmonary drug deliveryRespiratory distress syndromeSurfactant

Identifiers

PMID33637075
PMCPMC7908012
OpenAlexW3131350653

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.