| Objective To analyze the expression of hypoxia-inducible factor-1α (HIF-1α) and kidney injury molecule-1 (KIM-1) in children with IgA vasculitis (IgAV) and its value in predicting kidney injury.Methods A total of 118 children with IgAV treated in our hospital from January 2023 to December 2024 were enrolled in the study.According to the presence or absence of kidney injury, they were divided into the control group (without kidney injury, n=78) and the observation group (with kidney injury, n=40). The levels of HIF-1α, KIM-1, serum creatinine (Scr), blood urea nitrogen (BUN), and uric acid (UA) were compared between the two groups. Pearson correlation analysis was used to analyze the correlation between HIF-1α, KIM-1 levels and Scr, BUN, UA levels. The receiver operating characteristic (ROC) curve was used to analyze the clinical value of HIF-1α and KIM-1 levels in predicting the occurrence of kidney injury in children with IgAV.Results The levels of HIF-1α, KIM-1, Scr, BUN, and UA in the observation group were all higher than those in the control group (P＜0.001). Pearson correlation analysis showed that HIF-1α, KIM-1 levels were all positively correlated with Scr, BUN, and UA levels in children with IgAV (P＜0.001). ROC curve analysis showed that the best critical value of HIF-1α level for predicting kidney injury in children with IgAV was 27.80 pg/mL, the area under the curve at this time was 0.921 (95% CI： 0.855～0.987, P＜0.001), the sensitivity was 87.50%, and the specificity was 88.46%. The best critical value of KIM-1 level for predicting kidney injury in children with IgAV was 1.85 ng/mL, the area under the curve at this time was 0.949 (95% CI： 0.897～1.000， P＜0.001), the sensitivity was 90.00%, and the specificity was 96.15%.Conclusion The HIF-1α and KIM-1 are highly expressed in children with IgAV with kidney injury, the levels of HIF-1α and KIM-1 are positively correlated with the degree of kidney injury of the children with IgAV, and the detection of HIF-1α and KIM-1 levels in children with IgAV has high clinical value in predicting the occurrence of kidney injury. |
