Discussion
illness, ARDS, sepsis, TG, septic
SEPSIS, ARDS, EVENT
In this retrospective cohort study, a prediction model for predicting the ARDS risk in sepsis patients admitted to ICU was developed. Through verification, this model had a good predictive ability as well as discrimination.ARDS is considered to be a serious and acute inflammatory lung injury, and could increase the severity of illness and brought a worse outcome for patients with sepsis [Nowadays, nomogram has proven to be an effective tool in predicting an individual’s probability of a clinical event, and it is consistent with the requirements of integrated model [The present study had some strengths. Firstly, the relatively large sample size of this study makes the results convincing. Secondly, we developed a model with an intuitive and easy to use based on some clinical indicators to predict the ARDS risk of ICU patients with sepsis. Simultaneously, the result of internal validation showed that the prediction model had a good discrimination and accuracy in predicting the risk of ARDS for sepsis patients. Nevertheless, we also acknowledged that there were some limitations in this study. Firstly, due to all patients from MIMIC-IV database and only septic patients in ICU were considered, we were unable to confirm whether this developed prediction model was applicable to patients with sepsis who were not admitted to the ICU. More prospective studies are needed to validate this result. Secondly, this is a retrospective cohort study, some variables with more than 20% missing values (ALT, ALB, TG, LDL-C, HDL-C, AST, NEUT, SaO