Published in:
01-11-2020 | Ureterorenoscopy | Original Article
A treatment strategy to help select patients who may not need secondary intervention to remove symptomatic ureteral stones after previous stenting
Published in: World Journal of Urology | Issue 11/2020
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Purpose
This study aimed at evaluating whether removal of the ureteral stent the day before scheduled secondary intervention facilitates spontaneous ureteral stone passage and thus can spare the pre-stented patient this surgery.
Methods
Retrospective analysis of a single-centre consecutive series of 216 patients after previous stenting due to a symptomatic ureteral stone from 01/2013 to 01/2018. Indwelling stents were removed under local anaesthesia. Patients were told to filter their urine overnight. Multivariate analysis was performed to assess predictive factors for spontaneous stone passage.
Results
34% (74/216) of patients had spontaneous stone passage while the stent was indwelling. Of the remaining 142 patients, 41% (58/142) had spontaneous stone passage within 24 h after stent removal. Only 84/216 (39%) patients needed secondary intervention. Multivariate logistic regression analysis of all 216 patients showed a significant association between spontaneous stone passage and smaller stone size (p < 0.001), distal stone location (p = 0.046) and stent dwell time (p = 0.02). Predictive factors for spontaneous stone passage after stent removal were smaller size (p < 0.001), distal location (p = 0.001), and stone movement while the stent was indwelling (p = 0.016). A treatment strategy was established that helps select patients suitable for conservative management.
Conclusions
The majority (61%) of ureteral stones passed spontaneously after pre-stenting; 34% while the stent was indwelling, 27% within 24 h after stent removal. Besides distal stone location, stone size (< 6 mm) and stone movement (≥ 5 cm) while the stent is indwelling indicate patients who are likely to pass their ureteral stone spontaneously after stent removal. The treatment strategy (decision tree) presented here helps identify those patients.