Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit

Current studies have shown that hospitalized ICU patients have a high risk of IHCA, with an incidence of about 0.6-7.8%. Early prediction of the occurrence of IHCA in severe patients can provide early intervention, prevent the deterioration of the disease, and reduce the incidence of IHCA. Therefore, researchers wanted to verify the efficacy of MEWS, NEWS, and CART scores in predicting IHCA in ICU inpatients, and to establish an early-warning scoring model that could effectively predict the risk of IHCA occurrence in ICU inpatients during hospitalization.