用于预测输尿管支架相关症状的新型斯坦利支架症状状态评分(s5 评分

IF 0.5 Q4 UROLOGY & NEPHROLOGY
Javangula Venkatasurya Rao Prakash, Palanisamy Venkatachalam Thiruvarul, Arun Kumar Paranjothi, Sattanathan Vetrichandar, Krishnan Vembu Arasi, Vetrivel Natarajan, Girish Sharma
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引用次数: 0

摘要

众所周知,输尿管内手术经常需要放置双 J(DJ)输尿管支架。这些患者在放置 DJ 支架后可能会出现与支架相关的症状(SRS),这可能会增加发病率,给患者带来痛苦。虽然已经对导致 SRS 的术中和术后因素进行了研究,但在这些症状的术前预测方面还缺乏研究,而这正是当务之急。因此,我们旨在找出输尿管镜碎石(URSL)手术后可能导致 SRS 的因素。此外,我们还希望建立一个评分系统,帮助我们预测 SRS 的可能性,并采取必要的措施将其降到最低。我们的研究包括 150 个使用 DJ 支架的 URSL 病例,我们将各种因素与 SRS 的存在联系起来。我们记录了可能导致 SRS 的术前、术中和术后因素的相关信息。所有患者均填写了输尿管支架症状问卷(USSQ),以评估支架置入后 1 周和 3 周以及支架移除后 1 周的症状。统计数据使用 SPSS 24 统计软件进行评估。研究发现,SRS 与体重指数(BMI)> 25 kg/m2、腰部疼痛、结石大小> 1 cm、血尿、双侧结石病、远端卷曲不完全、远端越过中线等因素有统计学相关性,这些因素可预测 SRS 的发生。根据重要的术前因素,我们构建了斯坦利支架症状状态评分(S5 评分),该评分可预测发生 SRS 的可能性。透彻了解可能导致 SRS 的因素有助于我们采取措施,降低与这种频繁手术相关的发病率。斯坦利支架症状状态评分(S5 评分)可预测术前这些症状的发生。这是首个此类评分,将为深入了解和预测术前这些症状铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Stanley Stent Symptom Status Score (s5 score) for predicting ureteral stent-related symptoms
It is a known fact that endourological procedures frequently require placement of double J (DJ) ureteral stent. These patients can have stent-related symptoms (SRS) after DJ stent placement which can be distressing with increased morbidity. Though intraoperative and postoperative factors for SRS have been studied, research work is deficient in preoperative prediction of these symptoms which is the need of the hour. Thus, we aim to find out the factors which can lead to SRS after ureteroscopic lithotripsy (URSL) surgeries. Further, we aim to establish a scoring system which will help us predict the possibility of SRS and take necessary actions to minimise them. Our study includes 150 URSL cases with DJ stenting where we correlated various factors with the presence of SRS. Information regarding preoperative, intraoperative and postoperative factors which may lead to SRS were noted down. All patients completed Ureteral Stent Symptom Questionnaire (USSQ) to evaluate the symptoms at 1 and 3 weeks after stent placement and 1 week after removal of the stent. The statistical data were evaluated using SPSS 24 Statistics. In our study, we found that SRS correlated statistically with factors namely body mass index (BMI) > 25 kg/m2, loin pain, stone size > 1 cm, haematuria, bilateral stone disease, incomplete distal curl, distal end crossing midline and these could predict the occurrence of SRS. Based on the significant preoperative factors, we constructed the Stanley Stent Symptom Status Score (S5 Score) which predicts the possibility of developing SRS. Thorough understanding of factors which can lead to SRS can help us take steps to reduce the morbidity related with this frequent procedure. Stanley Stent Symptom Status Score (S5 Score) predicts the occurrence of these symptoms preoperatively. This score is first of its kind which will pave the way for deeper understanding and prediction of these symptoms preoperatively.
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来源期刊
African Journal of Urology
African Journal of Urology UROLOGY & NEPHROLOGY-
CiteScore
1.00
自引率
0.00%
发文量
58
审稿时长
9 weeks
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