Is Intermittent Abdominal Pressure Ventilation Still Relevant? A Multicenter Retrospective Pilot Study.
Valeria VolpiEleonora VolpatoElena CompalatiPierucci PaolaAntonello NicoliniAgata LaxLaura FagettiAnna AnnunziataRosa CauteruccioGiuseppe FiorentinoPaolo Innocente BanfiPublished in: Journal of clinical medicine (2023)
Non-invasive ventilatory support (NVS) is a technique used to reduce respiratory work in neuromuscular diseases, preventing the progression of respiratory failure. NVS is usually administered via a nasal or an oronasal mask, causing discomfort, especially in patients ventilated for more than 16 h/day. Intermittent abdominal pressure ventilation (IAPV) differs completely from conventional NVS and consists of a portable ventilator and a corset with Velcro closures as the interface. In our study, the practicability and efficacy of IAPV were studied in three Italian centers monitoring 28 neuromuscular patients using IAPV who were then retrospectively analyzed. The primary outcomes were an improvement in hypoxemia and the normalization of hypercapnia, and the secondary outcome was an improvement in quality of life. Data were collected at baseline (T0) and after two hours of ventilation (T1), with follow-ups at three months (T2) and six months (T3). Statistical significance was found for PaCO 2 over time (F (2.42) = 7.63, p = 0.001) and PaO 2 (W = 0.539, p = 0.033). The time of NVS usage also significantly affected the quality of life (F (2.14) = 6.90, p = 0.010), as seen when comparing T0 and T3. As an alternative ventilation method, IAPV is still relevant today and could become a key part of daytime support, especially for patients who do not tolerate standard daytime NVS with an oral interface.
Keyphrases
- respiratory failure
- mechanical ventilation
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- prognostic factors
- intensive care unit
- peritoneal dialysis
- depressive symptoms
- cross sectional
- skeletal muscle
- machine learning
- data analysis
- deep learning