LAUSR

evaluation of early assessment tools for earthquake patients. To the The article by Hai Hu, et al is inspiring. 1 The study identified nine independent mortal-ity-related factors that contributed to adult earthquake trauma patients (AETPs) in-patient mortality and constructed an instruction, which is a nomogram, to screen for AETPs with a higher risk of in-patient mortality. This instruction makes sense because it uses simple prehospital factors, which produces great practical value in disaster environments where resources are scarce. However, this instruction is novel and needs to be verified. To verify the effectiveness of the novel instruction in earthquake trauma patients, earthquake casualty data from a tertiary hospital in the 2008 Wenchuan earthquake were studied retrospectively. The patients ’ age, respiratory rate (RR), pulse rate, diastolic blood pressure (DBP), Glasgow Coma Score (GCS), crush injury, coronary heart disease (CHD), malignant tumor, chronic kidney disease upon admission, and the outcome (in-hospital death) were collected. Statistical Product and Service Solutions (SPSS) Version 26.0.0.0 (IBM Corporation; Armonk, New York USA) was used to perform a Receiver Operating Characteristic curve (ROC curve) analysis and calculate the Area Under Curve (AUC). In total, 1,847 trauma patients who admitted in the hospital in the 2008 Wenchuan earthquake were extracted from the hospital electronic registration system. Excluding instances that lacked of RR (n = 31), DBP (n = 52), GCS (n = 19), and CHD (n = 34), a total of 1,711 cases were enrolled the study and 38 cases (2.22%) were dead. The