TY  - JOUR
UR  - http://doi.org/10.3390/diagnostics14121292
VL  - 14
N2  - Aim: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. Methods: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. Results: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919?0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832?0.871) and 365-day (AUC = 0.806; 95% CI: 0.778?0.833) mortality. Discussion: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses.
Y1  - 2024/06//
TI  - A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study
ID  - uneatlantico13000
AV  - public
KW  - predictive models; emergency medical services; long-term mortality
IS  - 12
SN  - 2075-4418
A1  - Enriquez de Salamanca Gambara, Rodrigo
A1  - Sanz-García, Ancor
A1  - del Pozo Vegas, Carlos
A1  - López-Izquierdo, Raúl
A1  - Sánchez Soberón, Irene
A1  - Delgado Benito, Juan F.
A1  - Martínez Díaz, Raquel
A1  - Mazas Pérez-Oleaga, Cristina
A1  - Martínez López, Nohora Milena
A1  - Dominguez Azpíroz, Irma
A1  - Martín-Rodríguez, Francisco
JF  - Diagnostics
ER  -