Derivation of a model to predict mortality in urban patients with accidental hypothermia: a retrospective observational study.AIM
 Accidental hypothermia in urban settings is associated with high mortality rates.  The purpose of this study was to evaluate prognostic factors and develop a prediction model in patients with accidental hypothermia in urban settings.


 We retrospectively reviewed medical records in patients with hypothermia brought to our hospital by ambulance in a 7-year study period.  Recursive partitioning analysis revealed that patients with accidental hypothermia could be divided into four groups: very high risk (FDP ≥ 14 µg/mL, PT-INR ≥ 1.4), high risk (FDP ≥ 14 µg/mL, PT-INR < 1.4), moderate risk (FDP < 14 µg/mL, GCS < 10), and low risk (FDP < 14 µg/mL, GCS ≥ 10).


 High FDP and PT-INR values and low GCS score on arrival at the emergency department were associated with in-hospital mortality in urban patients with hypothermia. 
THERM