Study 02 · BMC Medical Informatics and Decision Making
Breathing emergencies and nonlinear risk
How response time, age and sex interact with high-risk time-sensitive triage among 132,395 breathing-problem missions.
How response time, age and sex interact with high-risk time-sensitive triage among 132,395 breathing-problem missions.
Retrospective observational analysis of 132,395 breathing-problem missions in Stockholm, 2017–2022. Multiple models were explored, with PD and ICE plots used to examine nonlinear relationships.
Method
Retrospective observational analysis of 132,395 breathing-problem missions in Stockholm, 2017–2022. Multiple models were explored, with PD and ICE plots used to examine nonlinear relationships.
Key findings
Age was the most important model feature. Patients older than 60 showed complex rising HRTS probability at prolonged response times beyond two hours; discrimination was modest (AUC 0.66).
Operational relevance
Extended waits may justify systematic reassessment, especially when demographic and clinical vulnerability could be underestimated at the first call.
Interpretation boundaries
The exploratory model is not validated for patient-level prediction or dispatch automation and was based on limited variables from one region.