Objective To create the new type critical illness score scale based on logistic regression pre-diction model,and to evaluate its predictive value for the patient transferring to intensive care unit (ICU) and death.Methods The clinical data in 1000 patients were retrospectively collected from the HIS system of this hospital from October 2022 to October 2023.The new critical illness score scale was created based on the model in predicting the ICU transfer rate created by the previous studies.The modified early warning score (MEWS) and acute physiology and chronic health evaluation Ⅱ (APCHEⅡ) score served as reference respec-tively,the predictive value of the new type critical illness score scale for patient transferring to ICU and death was evaluated by using the receiver operating characteristic (ROC) curve and area under curve (AUC).Results The ICU transfer rate of the patients was 29.8％,and the mortality rate was 8.10％.The new type critical illness score scale,MEWS and APCHEⅡ scores of the patients who were transferred to ICU or died were significant-ly higher than those of the patients who were not transferred to ICU or died (P<0.05).The predictive value of the new critical illness scale,MEWS,and APCHEⅡ scores for ICU transfer was high (P<0.05).AUC was 0.917,0.922 and 0.934 respectively,the sensitivity was 82.26％,84.22％ and 90.57％ respectively,the speci-ficity was 80.36％,73.50％ and 83.45％ respectively and the Youden index was 62.62％,57.72％ and 74.02％,respectively.The predictive value of the new type critical illness score scale,MEWS and APCHEⅡ scores for the death was high (P<0.05).AUC was 0.924,0.914 and 0.933 respectively,the sensitivity was 93.48％,86.38％ and 84.67％ respectively,the specificity was 73.46％,79.38％ and 88.69％ respectively,and the Youden index was 66.94％,65.76％ and 73.36％ respectively.Conclusion The predictive value of the new type critical illness score scale for the patients transferring to ICU and death is basically consistent with that of the traditional scales,which could serve as a new evaluation tool for ICU patients.