Acute brain dysfunction clusters in COVID-19: a pilot machine learning-based analysis of the COVID-D cohort
Nekane Romero-García, Víctor Montosa-i-Micó, David Fernández-Narro, Juan M. García-Gómez, Luis Hurtado, Eduardo Passariello, Fabio Silvio Taccone, Chiara Robba, Rameela Raman, Onur M. Orun, Pratik Pandharipande, Brenda T. Pun, E. Wesley Ely, Rafael Badenes, Carlos Sáez · 2026
Read Acute brain dysfunction clusters in COVID-19: a pilot machine learning-based analysis of the COVID-D cohort by Nekane Romero-García, Víctor Montosa-i-Micó, David Fernández-Narro, Juan M. García-Gómez, Luis Hurtado, Eduardo Passariello, Fabio Silvio Taccone, Chiara Robba, Rameela Raman, Onur M. Orun, Pratik Pandharipande, Brenda T. Pun, E. Wesley Ely, Rafael Badenes, Carlos Sáez (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13247105.txt.
Description
Romero-García and co-authors used machine learning to sort intensive-care patients with brain dysfunction in this 2026 Intensive Care Medicine Experimental pilot study. Delirium and coma in critically ill COVID-19 patients vary widely, making prognosis hard. Working from an international database of the pandemic's first wave, the team clustered more than sixteen hundred patients using only data from their first ICU day.
Four reproducible groups emerged with distinct profiles. One with mild respiratory failure woke fastest and spent the least time on ventilators; others, defined by moderate or early severe lung failure, endured longer delirium. Intriguingly, the clusters did not differ in twenty-eight-day survival. The authors offer the grouping as a pilot step toward tailoring delirium prevention, needing prospective testing in today's ICUs.
Catalog record
| CREATOR | Nekane Romero-García, Víctor Montosa-i-Micó, David Fernández-Narro, Juan M. García-Gómez, Luis Hurtado, Eduardo Passariello, Fabio Silvio Taccone, Chiara Robba, Rameela Raman, Onur M. Orun, Pratik Pandharipande, Brenda T. Pun, E. Wesley Ely, Rafael Badenes, Carlos Sáez |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |