Retrospective Analysis of Risk Factors for Urinary Tract Infection after Ureteral Calculi Surgery.

BACKGROUND: Ureteral calculi are a common diagnosis in the field of urology worldwide, and they represent a prevalent subtype of urolithiasis. Ureteroscopic stone surgery is the cornerstone treatment, but postoperative urinary tract infection (UTI) remains a clinical concern. Our study aims to analyse specific risk factors associated with postoperative UTIs following ureteroscopic stone surgery. METHODS: We conducted a case-control study and collected clinical data from 145 patients who underwent ureteroscopic lithotripsy at our hospital from January 2021 to January 2023. Binary logistic regression analysis was used to investigate risk factors for postoperative UTI. Receiver operating characteristic curves were plotted, and area under the curve (AUC) was calculated to evaluate the predictive value of each factor. RESULTS: Forty patients developed UTI after ureteroscopic stone surgery. Compared with the control group, the case group showed significant differences in stone size, history of diabetes mellitus and preoperative urine culture results (p < 0.05). Multivariable binary logistic regression analysis revealed that stone size (Odds Ratio (OR) = 1.952, p = 0.010), history of diabetes mellitus (OR = 2.438, p = 0.038) and preoperative urine culture (OR = 2.914, p = 0.009) were independent risk factors for postoperative UTI. The AUC values of stone size, history of diabetes mellitus and preoperative urine culture were 0.680, 0.627 and 0.630, respectively. The AUC of the combined prediction was 0.756. CONCLUSIONS: This study identified risk factors for postoperative UTI following ureteroscopic stone surgery and emphasised the importance of stone size, history of diabetes mellitus and preoperative urine culture in the diagnosis.

Identifying Hub Genes Related to Vascular Endothelial Cell Permeability Through Bioinformatics and Verification.

BACKGROUND: In this study, we aimed to identify the hub genes responsible for increased vascular endothelial cell permeability. METHODS: We applied the weighted Gene Expression Omnibus (GEO) database to mine dataset GSE178331 and ob-tained the most relevant high-throughput sequenced genes for an increased permeability of vascular endothelial cells due to inflammation. We constructed two weighted gene co-expression network analysis (WGCNA) networks, and the differential expression of high-throughput sequenced genes related to endothelial cell permeability were screened from the GEO database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the differential genes. Their degree values were obtained from the topological properties of protein-protein interaction (PPI) networks of differential genes, and the hub genes associated with an increased endothelial cell permeability were analyzed. Reverse transcription-polymerase chain reaction (RT-PCR) and western blotting techniques were used to detect the presence of these hub genes in TNF-α induced mRNA and the protein expression in endothelial cells. RESULTS: In total, 1,475 differential genes were mainly enriched in the cell adhesion and TNF-α signaling pathway. With TNF-α inducing an increase in the endothelial cell permeability and significantly increasing mRNA and protein expression levels, we identified three hub genes, namely PTGS2, ICAM1, and SNAI1. There was a significant difference in the high-dose TNF-α group and in the low-dose TNF-α group compared to the control group, in the endothelial cell permeability experiment (p = 0.008 vs. p = 0.02). Measurement of mRNA and protein levels of PTGS2, ICAM1, and SNAI1 by western blotting analysis showed that there was a significant impact on TNF-α and that there was a significant dose-dependent relationship (p < 0.05 vs. p < 0.01). CONCLUSIONS: The three hub genes identified through bioinformatics analyses in the present study may serve as biomarkers of increased vascular endothelial cell permeability. The findings offer valuable insights into the progress and mechanism of vascular endothelial cell permeability.