Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases.
Feike J LootsMarleen SmitsKevin JenniskensArtuur M LeeuwenbergPaul H J GiesenLotte RamermanRobert VerheijArthur Raymond Hubert van ZantenRoderick P VenekampPublished in: PloS one (2023)
Several patient characteristics identified during telephone triage of patients presenting to out-of-hours GP cooperatives were associated with sepsis-related adverse outcomes. Still, on a patient level, predictions were not sufficiently accurate for clinical purposes.
Keyphrases
- end stage renal disease
- ejection fraction
- intensive care unit
- case report
- emergency department
- newly diagnosed
- healthcare
- acute kidney injury
- prognostic factors
- palliative care
- cardiovascular events
- deep learning
- quality improvement
- risk factors
- machine learning
- social media
- mechanical ventilation
- pain management
- chronic pain
- septic shock
- acute respiratory distress syndrome
- aortic dissection
- respiratory failure