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To explore the efficacy of prostatic artery embolization (PAE) for lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH) during long-term follow-up and analyze predictors related to LUTS recurrence.This was a single-center retrospective study involving 125 BPH patients with LUTS who underwent PAE from February 2014 to February 2020. The median follow-up was 36 months. Clinical success was defined as reductions in the International Prostate Symptom Score (IPSS) and quality of life (QoL) score and no need for any other treatment for LUTS; otherwise, it was regarded as a clinical failure. Recurrence was defined as a clinical failure that occurred after an initial success. Cumulative clinical success rates, recurrence rates and re-intervention rates were evaluated. Friedman test was performed to compare differences in IPSS, QoL and prostatic volume (PV) among baseline and follow-up times. Predictors for LUTS recurrence were analyzed with the univariate and multivariate Cox regression model.Technical success (bilateral PAE) rate was 92.8% (116/125). Significant differences in IPSS, QoL and PV were observed between baseline and follow-up time points (P 0.001). The cumulative clinical success rates at 2, 3, 4 and 5 years were 82.4%, 65.5%, 52.4% and 37.4%. The cumulative recurrence rates and re-intervention rates at 1, 2 and 5 years were 6.8%, 12.7%, 60.4% and 5.9%, 10.2%, 50.8%, respectively. Unilateral PAE was an significant predictor of recurrence (P 0.05).PAE is an effective treatment option for LUTS. Unilateral PAE is a significant independent predictor of LUTS recurrence.

Accurately predicting the spatial distribution of soil organic matter (SOM) content is of great significance for improving soil quality and improving the level of regional soil management. In order to explore the optimal model for predicting the SOM content of farmland in the Weibei Dryland of Shaanxi Province, the influence factors closely related to SOM content were selected as the modeling covariables, and a geographic detector, the ordinary kriging method (OK), geographic weighted regression model (GWR), partial least squares regression model (PLS), geographically weighted regression extended model (GWR