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Degree of Left Renal Vein Compression Predicts Nutcracker Syndrome

机译:左肾静脉压缩程度预测胡桃夹综合征

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Nutcracker syndrome (NS) refers to symptomatic compression of the left renal vein (LRV) between the abdominal aorta and superior mesenteric artery with potential symptoms including hematuria, proteinuria, left flank pain, and renal venous hypertension. No consensus diagnostic criteria exist to guide endovascular treatment. We aimed to evaluate the specificity of LRV compression to NS symptoms through a retrospective study including 33 NS and 103 control patients. The size of the patent lumen at point of compression and normal portions of the LRV were measured for all patients. Multiple logistic regression analyses (MLR) assessing impact of compression, body mass index (BMI), age, and gender on the likelihood of each symptom with NS were obtained. NS patients presented most commonly with abdominal pain (72.7%), followed by hematuria (57.6%), proteinuria (39.4%), and left flank pain (30.3%). These symptoms were more commonly seen than in the control group at 10.6, 11.7, 6.8, and 1.9%, respectively. The degree of LRV compression for NS was 74.5% and 25.2% for controls (p < 0.0001). Higher compression led to more hematuria (p < 0.0013), abdominal pain (p < 0.006), and more proteinuria (p < 0.002). Furthermore, the average BMI of NS patients was 21.4 and 27.2 for controls (p < 0.001) and a low BMI led to more abdominal pain (p < 0.005). These results demonstrate a strong correlation between the degree of LRV compression on imaging in diagnosing NS.
机译:Nutcracker综合征(NS)是指腹主动脉和优质肠系膜动脉之间的左肾静脉(LRV)的症状压缩与血尿,蛋白尿,左侧疼痛和肾静脉高血压在内的潜在症状。没有共识诊断标准来引导血管内治疗。我们的目标是通过回顾性研究评估LRV压缩对NS症状的特异性,包括33 ns和103患者。针对所有患者测量压缩点处的专利腔的尺寸和LRV的正常部分。获得了评估压缩,体重指数(BMI),年龄和性别对NS各种症状的可能性影响的多重逻辑回归分析(MLR)。 NS患者最常呈现腹痛(72.7%),其次是血尿(57.6%),蛋白尿(39.4%)和左侧疼痛(30.3%)。这些症状比在10.6,11.7,6.8和1.9%的对照组中更常见。对照的NS的LRV压缩程度为74.5%和25.2%(P <0.0001)。更高的压缩导致更多的血尿(p <0.0013),腹痛(p <0.006),更高的蛋白尿(p <0.002)。此外,NS患者的平均BMI为21.4和27.2,用于对照(P <0.001),低BMI导致更多的腹痛(P <0.005)。这些结果表明了LRV压缩程度与诊断NS成像的程度之间的相关性。

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