ArticleUrolithiasis2026
Midnight-noon ebb-flow acupoint application alleviates Double-J stent syndrome after ureteroscopic surgery: a retrospective study.
Article in Urolithiasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Double-J (DJ) stent is the most widely used drainage tube in upper urinary tract surgery, but it can cause a series of symptoms such as hematuria, bladder irritation, and low back syndrome. Existing methods are generally low-efficiency and have side effects. Acupoint application therapy, guided by the Traditional Chinese Medicine (TCM) theory of Midnight-noon ebb-flow (Zi Wu Liu Zhu), is a potential approach to alleviate these clinical symptoms. This study explores the clinical application value of acupoint patching based on the midnight-noon ebb-flow method in patients with DJ stent syndrome. A retrospective cohort study was conducted, including 132 patients who underwent ureteroscopy with DJ stent placement. Based on the therapeutic regimen received, patients were categorized into two groups: a control group (conventional acupoint application) and an observation group (midnight-noon ebb-flow acupoint application). Comparative analysis was performed on pain scores, bladder irritation symptoms, gross hematuria incidence, and traditional Chinese medicine syndrome scores during Double-J stent placement between the two groups. After intervention, clinical symptoms of DJ stent syndrome were alleviated in both groups, and the clinical efficacy in the observation group was significantly higher than that in the control group. Improvement in bladder irritation symptoms and pain in the observation group was more significant than in the control group. However, there was no significant difference in gross hematuria symptoms compared to the control group. Acupoint patching based on the midnight-noon ebb-flow method effectively improves DJ stent syndrome, alleviates clinical symptoms, and enhances the quality of life for patients.
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