Identifying clinical subtypes in acute dyspnoea patients admitted to the emergency department: a secondary model-based clustering of prospective cohorts
Kamilė Čerlinskaitė-Bajorė, Nikola Kozhuharov, Mojtaba Ahmadiankalati, Desiree Wussler, Maria Belkin, Christian Mueller, Jelena Čelutkienė, Alexandre Mebazaa, Sabri Soussi · 2026
Read Identifying clinical subtypes in acute dyspnoea patients admitted to the emergency department: a secondary model-based clustering of prospective cohorts by Kamilė Čerlinskaitė-Bajorė, Nikola Kozhuharov, Mojtaba Ahmadiankalati, Desiree Wussler, Maria Belkin, Christian Mueller, Jelena Čelutkienė, Alexandre Mebazaa, Sabri Soussi (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/PMC13537452.txt.
Description
Čerlinskaitė-Bajorė and colleagues used clustering to carve emergency patients with acute breathlessness into subtypes that cut across usual diagnoses. Their 2026 study reuses two prospective European cohorts with more than three thousand patients in all. Breathlessness has many causes and the categories predict outcomes poorly, so the team clustered patients on nine admission readings and built a rule tree to reproduce the grouping.
Čerlinskaitė-Bajorė found four subtypes, labeled non-inflammatory, tachycardic, anaemic, and hypoxemic, with inflammation and heart-related blood markers rising stepwise from the first to the last. Belonging to a subtype predicted ninety-day death even with risk factors accounted for. The hypoxemic group faced roughly four to five times the risk of the baseline group in the two cohorts. Adding subtype to a risk model improved its accuracy in both cohorts, backing cluster-based triage for tailored emergency care of breathless patients.
Catalog record
| CREATOR | Kamilė Čerlinskaitė-Bajorė, Nikola Kozhuharov, Mojtaba Ahmadiankalati, Desiree Wussler, Maria Belkin, Christian Mueller, Jelena Čelutkienė, Alexandre Mebazaa, Sabri Soussi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |