The predictive value of SII,PNI,AGR on the severity of ulcerative colitis
Objective To investigate the changes of systemic immune-inflammation index(SII),prognostic nutri-tional index(PNI),albumin to globulin ratio(AGR)in ulcerative colitis(UC),and the predictive value for moderate to severe UC.Methods A total of 361 patients with UC admitted to the Affiliated Hospital of Xuzhou Medical University from Sep.2018 to Mar.2023 were selected.According to the modified Mayo score,the patients were divided into re-mission group(n=36)and active group(n=325),of which the active group was further divided into mild group(n=80),moderate group(n=206)and severe group(n=39).The degree of intestinal mucosal lesions was evaluated ac-cording to Mayo endoscopic score.The range of intestinal lesions was divided into E1 group(n=90),E2 group(n=129)and E3 group(n=117)by Montreal classification.Neutrophils,lymphocytes,platelets,albumin,AGR and colonoscopy findings were collected to calculate SII and PNI.The relationship between inflammatory nutritional biomark-ers and the severity of UC,Mayo endoscopic score and the extent of intestinal lesions were analyzed.Results The SII level of UC patients in the moderate severe group was significantly higher than that in the non-moderate severe group,while the PNI,AGR,Alb and BMI levels were significantly lower than those in the non-moderate severe group.With the increase of UC disease activity,the expansion of the range of intestinal lesions,and the increase of intestinal mucosi-tis,SII increased significantly,while PNI and AGR decreased significantly(P＜0.001).Logistic regression analysis showed that SII,PNI,AGR and Alb were independent influencing factors of patients with moderate to severe UC;ROC curve showed that SII,PNI,AGR,Alb and combined indicators had predictive value,and the combined index SII+Alb+BMI had the highest predictive value for moderate to severe UC,with AUC of 0.780(95％CI:0.734-0.822,P＜0.001).Conclusion SII,PNI and AGR have predictive value for the severity of UC,and can be used as potential bi-omarkers to evaluate the severity of UC.
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