Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2023
Age in addition to RETTS triage priority substantially improves 3-day mortality prediction in emergency department patients: a multi-center cohort study.
Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Individual Patient Sociodemographic Characteristics Are Associated With Waiting Time to Physician Assessment in Seven Swedish Emergency Departments: An Observational 5-Year Cohort Study of Emergency Department Visits in the Stockholm Region.Journal of the American College of Emergency Physicians open · 2025Article
- Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.BMC medical informatics and decision making · 2025Observational
- Prehospital lactate analysis in suspected sepsis improves detection of patients with increased mortality risk: an observational study.Critical care (London, England) · 2025Observational
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Authors and funding
5 authors.
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Abstract
backgroundPrevious studies have shown varying results on the validity of the rapid emergency triage and treatment system (RETTS), but have concluded that patient age is not adequately considered as a risk factor for short term mortality. Little is known about the RETTS system's performance between different chief complaints and on short term mortality. We therefore aimed to evaluate how well a model including both RETTS triage priority and patient age (TP and age model) predicts 3-day mortality compared to a univariate RETTS triage priority model (TP model). Secondarily, we aimed to evaluate the TP model compared to a univariate age model (age model) and whether these three models' predictive performance regarding 3-day mortality varies between patients with different chief complaints in an unsorted emergency department patient population.
methodsThis study was a prospective historic observational cohort study, using logistic regression on a cohort of patients seeking emergency department care in Stockholm during 2012-2016. Patient visits were stratified into the 10 chief complaint categories (CCC) with the highest number of deceased patients within 3 days of arrival, and to "other chief complaints". Patients with priority 1 were excluded.
resultsThe studied cohort contained 1,690,981 visits by 788,046 different individuals. The TP and age model predicted 3-day mortality significantly and substantially better than both univariate models in the total population and in each studied CCC. The age model predicted 3-day mortality significantly and substantially better than the TP model in the total population and for all but three CCCs and was not inferior in any CCC. There were substantial differences between the studied CCCs in the predictive ability of each of the three models.
conclusionsAdding patient age to the RETTS triage priority system significantly and substantially improves 3-day mortality prediction compared to RETTS priority alone. Age alone is a non-inferior predictor of 3-day mortality compared to RETTS priority. The impact on 3-day mortality prediction of adding patient age to RETTS priority varies between CCCs but is substantial for all CCCs and for the total population. Including age as a variable in future revisions of RETTS could substantially improve patient safety.
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