Response to "A predictive model for serious adverse events in adults with acute poisoning in prehospital and hospital care".

OBJECTIVE:The objective of this study was to design a risk model with variables determined before hospital arrival to predict the risk of serious adverse events in patients with acute poisoning. METHODS:A preliminary prospective, multicentre cohort study of adults with prehospital diagnosis of acute intoxication was conducted. The study was carried out in the Public Health System of the Community of Castilla-Leon (Spain), including seven advanced life support units and five hospitals, between April 1, 2018, and June 30, 2019. People aged >18 years with a main prehospital diagnosis of acute poisoning admitted to a referral hospital on advanced life support were included. The main outcome measure was prehospital and hospital serious adverse events in patients with acute poisoning. RESULTS:We included 221 patients, with a median age of 47 years (interquartile range: 33-61). The most frequent cause of poisoning was psychopharmaceuticals (111 cases, 49.8%): 38 (17.2%) patients had a serious adverse event, with a hospital mortality of 4.1% (nine cases) in the 30 days after the index event. The final model included age ≥65 years (odds ratio [OR]: 9.59, 95% confidence interval [CI]: 3.48-26.45; p < 0.001), oxygen saturation/fraction of inspired oxygen index ≤300 (OR: 15.03, 95% CI: 5.74-39.33; p < 0.001), and point-of-care lactate ≥4 mmol/L (OR: 7.68, 95% CI: 2.88-20.45; p < 0.001). The poisoning Early Warning Score was constructed from these three variables, and 1 point was assigned to each variable. The area under the curve of the score was 0.896 (95% CI: 0.82-0.96; p < 0.001). CONCLUSIONS:The poisoning Early Warning Score may help in decision-making and promote early identification of high-risk patients with acute poisoning in the prehospital context.