“…Predicting ICU mortality plays an important role in patient care and resource allocation, Early identi cation and management are associated with lower mortality [1,2]. At present, there are many predictive scoring systems including Acute Physiology Chronic Health Evaluation II (APACHE II), Organ Dysfunction and Infection System, Sequential Organ Failure Assessment (SOFA) and Simpli ed Acute Physiology Score (SAPS) for hospital outcomes [3][4][5], especially for mortality [6,7], Among which APACHE II score is the most common and well-known effective prediction scoring method. At present, most studies use the APACHE II score within 24 h of admission to predict the outcomes of patients [2,8], However, for the rst 24 h of ICU admission, many patients have several comorbid conditions, and selecting only one principal diagnostic category may be very di cult, Moreover, the condition of patients was unstable and their physiological indexes uctuated greatly, All these factors had a great impact on APACHE II score within 24 h, which leads to inaccurate prognosis of hospital outcomes.…”