Yoshida Kiryu, Sugawara Hirohito, Mizuyama Hiroki, Shigematsu Hiroya, Fujita Takafumi, Saito Yoshinori, Kato Masanori, Takeshima Akiko, Yamamoto Masahiro, Ito Hidetoshi
Division of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Cureus. 2025 Jul 11;17(7):e87749. doi: 10.7759/cureus.87749. eCollection 2025 Jul.
Introduction Patients initiating hemodialysis (HD) are at high risk for cardiovascular disease. The ankle-brachial index (ABI) is a simple and widely used tool to detect peripheral artery disease and reflects different patterns of vascular calcification: low ABI indicates intimal arterial calcification, while high ABI may suggest medial arterial calcification (MAC). Coronary artery calcium score (CACS), a marker of coronary atherosclerosis, may reflect both IAC and MAC, though it does not distinguish between them. However, the association between ABI and CACS at HD initiation remains unclear. Methods In this single-center cross-sectional study, we included 204 patients who initiated HD and underwent both ABI and coronary CT between November 2013 and December 2023, at the time of dialysis initiation. Patients with ischemic heart disease or prior peritoneal dialysis were excluded to reduce confounding due to coronary interventions or altered baseline parameters. ABI was measured using an automated oscillometric device; the mean of bilateral values was used. ABI was categorized as low (≤0.90), normal (0.91-1.30), or high (>1.30). CACS was compared using the Wilcoxon rank-sum test. Multivariable restricted cubic spline (RCS) models with three knots assessed nonlinear associations between ABI and log-transformed CACS. Logistic regression evaluated the association between the ABI group and high CACS (>400). Models were adjusted for age, sex, diabetes, BMI, smoking status, estimated glomerular filtration rate, serum albumin, CRP, calcium, phosphate, and statin use. Subgroup analyses by sex and diabetes status were also performed. Results Median CACS values with IQRs were 930.5 (159.3-2241.1) for the low ABI group, 315.7 (58.5-1046.6) for the normal ABI group, and 54.3 (0.0-413.5) for the high ABI group. Compared to the normal group, low ABI was significantly associated with higher CACS (p = 0.037), while high ABI was associated with lower CACS (p = 0.002). RCS analysis in the unadjusted model showed a curve similar to group-wise comparisons. In the age-adjusted and fully adjusted models, the spline curve in the low ABI range tended to decline. Logistic regression showed a similar trend: low ABI was associated with high CACS in the unadjusted model (OR 2.74, p = 0.029), but the association diminished in the fully adjusted model (OR 1.29, p = 0.651). High ABI was associated with lower odds of high CACS across models, though not statistically significant. Although statistical significance was inconsistent, subgroup analyses stratified by sex and diabetes showed directionally similar trends, and interaction terms in logistic models were not significant. Conclusions In patients at the initiation of HD, low ABI (≤0.9) was associated with higher CACS, whereas high ABI (>1.3) was associated with lower CACS. Multivariable analysis indicated that elevated CACS in the low ABI group may be largely influenced by background factors such as age. In contrast, the relatively low CACS in the high ABI group may suggest delayed progression of MAC from peripheral to central arteries, although this remains a hypothesis-generating observation. These findings underscore the potential utility of ABI and CACS as complementary tools for early cardiovascular risk stratification in incident HD patients and may inform future research on vascular calcification dynamics.
引言 开始进行血液透析(HD)的患者患心血管疾病的风险很高。踝臂指数(ABI)是一种简单且广泛应用于检测外周动脉疾病的工具,它反映了不同类型的血管钙化:低ABI表明内膜动脉钙化,而高ABI可能提示中膜动脉钙化(MAC)。冠状动脉钙化评分(CACS)是冠状动脉粥样硬化的一个标志物,它可能反映内膜动脉钙化(IAC)和中膜动脉钙化(MAC)两者,尽管它无法区分这两者。然而,HD开始时ABI与CACS之间的关联仍不清楚。
方法 在这项单中心横断面研究中,我们纳入了204例在2013年11月至2023年12月期间开始进行HD且在透析开始时同时接受了ABI测量和冠状动脉CT检查的患者。排除患有缺血性心脏病或曾接受腹膜透析的患者,以减少因冠状动脉干预或基线参数改变而导致的混杂因素。使用自动示波装置测量ABI;采用双侧测量值的平均值。ABI被分类为低(≤0.90)、正常(0.91 - 1.30)或高(>1.30)。使用Wilcoxon秩和检验比较CACS。具有三个节点的多变量受限立方样条(RCS)模型评估ABI与对数转换后的CACS之间的非线性关联。逻辑回归评估ABI组与高CACS(>400)之间的关联。模型对年龄、性别、糖尿病、体重指数、吸烟状况、估计肾小球滤过率、血清白蛋白、CRP、钙、磷和他汀类药物使用情况进行了调整。还按性别和糖尿病状态进行了亚组分析。
结果 低ABI组的CACS中位数及四分位数间距为930.5(159.3 - 2241.1),正常ABI组为315.7(58.5 - 1046.6),高ABI组为54.3(0.0 - 413.5)。与正常组相比,低ABI与更高的CACS显著相关(p = 0.037),而高ABI与更低的CACS相关(p = 0.002)。未调整模型中的RCS分析显示出与分组比较相似的曲线。在年龄调整模型和完全调整模型中,低ABI范围内的样条曲线呈下降趋势。逻辑回归显示出类似趋势:在未调整模型中,低ABI与高CACS相关(OR 2.74,p = 0.029),但在完全调整模型中这种关联减弱(OR 1.29,p = 0.651)。在各个模型中,高ABI与高CACS的较低几率相关,尽管无统计学意义。尽管统计学显著性不一致,但按性别和糖尿病分层的亚组分析显示出方向相似的趋势,且逻辑模型中的交互项无统计学意义。
结论 在HD开始时的患者中,低ABI(≤0.9)与更高的CACS相关,而高ABI(>1.3)与更低的CACS相关。多变量分析表明,低ABI组中CACS升高可能在很大程度上受年龄等背景因素影响。相比之下,高ABI组中相对较低的CACS可能提示MAC从外周动脉向中心动脉的进展延迟,尽管这仍是一个有待进一步研究验证的观察结果。这些发现强调了ABI和CACS作为新发HD患者早期心血管风险分层的补充工具的潜在效用,并可能为未来关于血管钙化动态变化的研究提供参考。