Modelling ventilation with spontaneous breaths: Improving accuracy with shape functions and slice method
The new bedside models, especially RDEA + Slice, demonstrate promise in enhancing mechanical ventilation management. By accurately capturing ventilatory mechanics in presence of SBs, they hold potential to refine ventilator settings, reduce lung injury risks, and integrate with real-time diagnostic tools for detecting patient-ventilator asynchronies-ultimately supporting more personalized and effective ICU care.
Authors
- Andrés Fabricio Caballero-Lozada (ORCID: https://orcid.org/0000-0002-4161-4805)
- José Isidro García Melo (ORCID: https://orcid.org/0000-0003-1672-7768)
- Andrés Valencia (ORCID: https://orcid.org/0000-0002-3588-5270)
- Alejandro Segura
- Guillermo Jaramillo
- Iván Ruiz
Institutions
- Hospital Universitario del Valle ESE (CO)
- Universidad del Valle (CO)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108685
- Citations
- 1
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Universidad Santiago de Cali