Evaluating the effect of heart and respiratory rate measurement errors on the ability to predict the outcome of high flow nasal cannula therapy: a multi-centre study
In this multi-centre study, the recently introduced TabPFN ML model outperformed currently available methods for predicting the outcome of HFNC therapy even when realistic levels of measurement errors were included in the clinical data on RR and HR. The predictive performance of this ML model can be further improved by minimizing measurement errors using more advanced monitoring, and/or by additionally using arterial blood gas measurements.
Authors
- Letícia Kawano-Dourado (ORCID: https://orcid.org/0000-0003-0784-1331)
- Alexandre Biasi Cavalcanti (ORCID: https://orcid.org/0000-0003-2798-6263)
- Enrico Clini (ORCID: https://orcid.org/0000-0002-1515-5094)
- Israel Silva Maia (ORCID: https://orcid.org/0000-0003-3467-5287)
- Sina Saffaran (ORCID: https://orcid.org/0000-0001-9296-180X)
- António M. Esquinas (ORCID: https://orcid.org/0000-0003-0571-2050)
- Declan G. Bates (ORCID: https://orcid.org/0000-0003-1395-9846)
- John G. Laffey (ORCID: https://orcid.org/0000-0002-1246-9573)
- Hang Yu
- Roberto Tonelli (ORCID: https://orcid.org/0000-0002-7222-7824)
- Qingchen Zhang (ORCID: https://orcid.org/0000-0003-2937-0585)
- Lucas Martins de Lima (ORCID: https://orcid.org/0009-0004-2282-8850)
Institutions
- University of Modena and Reggio Emilia (IT)
- Ollscoil na Gaillimhe – University of Galway (IE)
- Hainan University (CN)
- University Hospital Galway (IE)
- University of Warwick (GB)
- Hospital General Universitario Morales Meseguer (ES)
- Azienda Ospedaliero-Universitaria di Modena (IT)
- Instituto Murciano de Investigación Biosanitaria (ES)
Publication Details
- Journal
- Critical Care
- Published
- 2025-11-22
- DOI
- https://doi.org/10.1186/s13054-025-05765-1
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- Royal Academy of Engineering
- National Natural Science Foundation of China
- Engineering and Physical Sciences Research Council