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Personalized Medicine for the Management of RDS in Preterm Neonates.
De Luca, Daniele; Autilio, Chiara; Pezza, Lucilla; Shankar-Aguilera, Shivani; Tingay, David G; Carnielli, Virgilio P.
Affiliation
  • De Luca D; Division of Paediatrics and Neonatal Critical Care, "A. Béclère" Medical Centre, Paris Saclay University Hospitals, APHP, Paris, France, dm.deluca@icloud.com.
  • Autilio C; Physiopathology and Therapeutic Innovation Unit-INSERM U999, Paris Saclay University, Paris, France, dm.deluca@icloud.com.
  • Pezza L; Department of Biochemistry and Molecular Biology and Research Institute "Hospital 12 de Octubre," Complutense University, Madrid, Spain.
  • Shankar-Aguilera S; Paediatric Intensive Care Unit, Department of Anaesthesiology and Critical Care, University Hospital "A. Gemelli"- IRCCS, Rome, Italy.
  • Tingay DG; Division of Paediatrics and Neonatal Critical Care, "A. Béclère" Medical Centre, Paris Saclay University Hospitals, APHP, Paris, France.
  • Carnielli VP; Neonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Neonatology ; 118(2): 127-138, 2021.
Article in En | MEDLINE | ID: mdl-33735866
Continuous positive airway pressure and surfactant represent the first- and second-line treatment for respiratory distress syndrome in preterm neonates, as European and American guidelines, since 2013 and 2014, respectively, started to recommend surfactant replacement only when continuous positive airway pressure fails. These recommendations, however, are not personalized to the individual physiopathology. Simple clinical algorithms may have improved the diffusion of neonatal care, but complex medical issues can hardly be addressed with simple solutions. The treatment of respiratory distress syndrome is a complex matter and can be only optimized with personalization. We performed a review of tools to individualize the management of respiratory distress syndrome based on physiopathology and actual patients' need, according to precision medicine principles. Advanced oxygenation metrics, lung ultrasound, electrical impedance tomography, and both quantitative and qualitative surfactant assays were examined. When these techniques were investigated with diagnostic accuracy studies, reliability measures have been meta-analysed. Amongst all these tools, quantitative lung ultrasound seems the more developed for the widespread use and has a higher diagnostic accuracy (meta-analytical AUC = 0.952 [95% CI: 0.951-0.953]). Surfactant adsorption (AUC = 0.840 [95% CI: 0.824-0.856]) and stable microbubble test (AUC = 0.800 [95% CI: 0.788-0.812]) also have good reliability, but need further industrial development. We advocate for a more accurate characterization and a personalized approach of respiratory distress syndrome. With the above-described currently available tools, it should be possible to personalize the treatment of respiratory distress syndrome according to physiopathol-ogy.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome, Newborn / Pulmonary Surfactants Type of study: Guideline / Prognostic_studies / Qualitative_research Limits: Humans / Newborn Language: En Journal: Neonatology Journal subject: PERINATOLOGIA Year: 2021 Document type: Article Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome, Newborn / Pulmonary Surfactants Type of study: Guideline / Prognostic_studies / Qualitative_research Limits: Humans / Newborn Language: En Journal: Neonatology Journal subject: PERINATOLOGIA Year: 2021 Document type: Article Country of publication: Switzerland