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视觉模拟评分量表得分作为区分肾绞痛与腰背痛的预测工具的应用

The Use of Visual Analogue Scale Score as a Predicting Tool in Differentiating Renal Colic From Lumbar Back Pain.

作者信息

Caniklioğlu Mehmet, Özkaya Muharrem

机构信息

Urology, Bozok University Faculty of Medicine, Yozgat, TUR.

Urology, Sinop Atatürk State Hospital, Sinop, TUR.

出版信息

Cureus. 2021 Jul 13;13(7):e16377. doi: 10.7759/cureus.16377. eCollection 2021 Jul.

Abstract

Introduction Renal colic is often confused with low back pain (LBP) and other pathologies. Computed tomography (CT) is frequently used to reach a definitive diagnosis, but its use increases the exposure to radiation. Researchers have tried to predict urinary stones in patients presenting with flank pain. Several scoring systems have been introduced; however, none of them provide a prediction based on the physical examination of the patient upon initial presentation to the outpatient clinic. In this study, we aimed to investigate whether we can predict the presence of stone with visual analogue scale (VAS) questionnaire during the first admission. Materials and methods Patients with complaints of flank pain were started to be followed for three months in our urology clinic. After the definitive diagnosis was made the patients were classified into two groups: renal colic group (group 1; n=36) and the LBP group (group 2; n=30). Results In logistic regression analysis, the possibility of renal colic increased 5.4 times more per one-unit increase in the VAS score. In receiver operating characteristic (ROC) analyses, when the VAS was 4.5, the diagnosis of renal colic could be made with 88% sensitivity and 71% specificity. Conclusion If the VAS score is ≤ 4 in patients that have flank pain without limitation of movement, it is more likely to manage these patients with a simple medical treatment plan. In these patients, unnecessary ultrasonography (US) scans be reduced by 86.3% and unnecessary CT scans by 88.8%. A VAS score of ≥5 should warn the clinician about the necessity of routine urinary stone examinations.

摘要

引言

肾绞痛常与腰痛(LBP)及其他病症相混淆。计算机断层扫描(CT)常用于明确诊断,但其使用会增加辐射暴露。研究人员试图对出现胁腹疼痛的患者的尿路结石进行预测。已引入了几种评分系统;然而,它们均未基于患者首次到门诊就诊时的体格检查提供预测。在本研究中,我们旨在调查在首次入院时能否通过视觉模拟量表(VAS)问卷预测结石的存在。

材料与方法

在我们的泌尿外科门诊,对主诉胁腹疼痛的患者进行了为期三个月的随访。在做出明确诊断后,将患者分为两组:肾绞痛组(第1组;n = 36)和腰痛组(第2组;n = 30)。

结果

在逻辑回归分析中,VAS评分每增加一个单位,肾绞痛的可能性增加5.4倍。在受试者工作特征(ROC)分析中,当VAS为4.5时,诊断肾绞痛的灵敏度为88%,特异度为71%。

结论

对于无活动受限的胁腹疼痛患者,如果VAS评分≤4,则更有可能采用简单的医疗治疗方案来处理这些患者。在这些患者中,不必要的超声(US)扫描可减少86.3%,不必要的CT扫描可减少88.8%。VAS评分≥5应提醒临床医生注意常规尿路结石检查的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6df6/8362862/4860b9c7bf9a/cureus-0013-00000016377-i01.jpg

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