Abstract:Objective To investigate the clinical value of blood cell analysis, biochemical indicators and its composite indexes in the prediction of severe drug eruption (SDE).Methods A total of 299 patients with drug eruption treated in Xiaogan Central Hospital from January 2017 to December 2022 were selected as the research subjects, and composite indexes such as red blood cell distribution width to albumin ratio (RAR), prognostic nutrition index (PNI) and the neutrophil to lymphocyte ratio (NLR) were calculated by comparing the general conditions of SDE and non-SDE patients, including age and gender, laboratory indicators (blood cell analysis and biochemical indicators). In comparative analysis, multivariate binary logistic regression analysis was performed by selecting statistically significant indicators, the risk factors affecting the occurrence of SDE were selected, and the receiver operating characteristic (ROC) curve was used to analyze the clinical predictive value of blood cell analysis, biochemical indicators and composite indexes on SDE.Results In general, the proportion of previous hypertension history and smoking in SDE group was higher than that in non-SDE group (P<0.05), and the length of hospital stay of SDE group was greater than that of non-SDE group (P<0.05), while the differences in gender, diabetes and alcohol history were not statistically significant (P>0.05). Among the laboratory test indexes, NLR, RAR, alanine aminotransferase, aspartate aminotransferase, adenosine deaminase (ADA), total bilirubin, direct bilirubin, γ glutamyl transferase, creatinine in SDE group were greater than those in non-SDE group (P<0.05), platelet (PLT), lymphocyte number, albumin, PNI, prealbumin, alkaline phosphatase, sodium, chloride, calcium in SDE group were smaller than those in non-SDE group (P<0.05), and the differences in other laboratory indicators were not statistically significant (P>0.05). Multivariate binary logistic regression analysis showed that RAR is a risk factor for SDE. ROC curve analysis showed that the area under the curve (AUC) of NLR, RAR, ADA and PLT in predicting SDE were 0.689, 0.732, 0.659 and 0.253, respectively, and RAR had a good predictive value for SDE.Conclusion RAR has guiding significance for the prediction of patients with SDE.