肾移植前潜在受者髂动脉钙化的非增强计算机断层扫描分布。

Adrian Marcuzzi, Stella Wang, Pascal N Tyrrell, Pradeep Ravichandran, Danny Marcuzzi, Vikramaditya Prabhudesai, Robert Stewart
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引用次数: 2

摘要

目的:探讨髂总动脉(CIAs)与髂外动脉(EIAs)的钙化是否存在显著差异,并探讨临床因素与钙化分布的关系。方法:对214例肾移植患者进行术前常规非增强计算机断层扫描的回顾性分析。对患者的左CIA、左EIA、右CIA和右EIA进行Agatston评分。回顾性检索筛选5个临床因素(糖尿病、高血压、冠心病、吸烟和透析)的患者记录。采用双侧t检验、优势比和通过广义估计方程(GEE)计算的多元线性回归对数据进行评估。结果:CIA的对数变换Agatston评分显著高于EIA (t = 9.57, P < 0.0001),平均差异为1.5078(95%置信区间:1.1962 ~ 1.8194),表明EIA相对节省。左右两侧钙化无明显差异。广义估计方程发现,CAD和吸烟与EIA节约存在独立的正相关(GEE分别为2.6464 [P = 0.0197]和1.9092 [P = 0.0470])。年龄也显着相关,并表明在患者的一生中EIA保留相对稳定(GEE = 1.0711 [P < .0001])。结论:本研究显示终末期肾病患者的EIA节约具有统计学意义,并确定CAD和吸烟是相关因素。这一现象值得进一步研究其生物学机制和EIA保护对移植后预后的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution of Iliac Artery Calcification on Unenhanced Computed Tomography Scans Performed on Potential Recipients Prior to Renal Transplantation.

Purpose: To investigate whether a significant difference exists between the calcification of the common iliac arteries (CIAs) and the external iliac arteries (EIAs) and test for associations between clinical factors and the distribution of calcification.

Methods: A retrospective review of renal transplant candidates who underwent a routine preoperative unenhanced computed tomography yielded 214 patients. Agatston scores for the patients' left CIA, left EIA, right CIA, and right EIA were assigned. A retrospective search of patient records screened for 5 clinical factors (diabetes, hypertension, coronary artery disease [CAD], smoking, and dialysis). Data were assessed using a 2-sided t test, odds ratio, and a multivariate linear regression calculated through generalized estimating equation (GEE).

Results: The log-transformed Agatston scores in the CIA were found to be significantly greater than that in the EIA (t = 9.57, P < .0001), with a mean difference of 1.5078 (95% confidence interval: 1.1962-1.8194), indicating relative EIA sparing. There were no significant differences in calcification between the right and left sides. Generalized estimating equation found that CAD and smoking demonstrated independent positive associations with EIA sparing (GEE = 2.6464 [P = .0197] and 1.9092 [P = .0470], respectively). Age was also significantly associated and indicated that EIA sparing remained relatively constant throughout patients' lives (GEE = 1.0711 [P < .0001]).

Conclusion: This study has demonstrated statistically significant EIA sparing in end-stage renal disease patients and identified CAD and smoking as associated factors. This phenomenon warrants further investigation into its biological mechanisms and the impact of EIA sparing on outcomes following transplants.

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