Department of Metabolic Medicine, Osaka University Graduate School of Medicine.
J Atheroscler Thromb. 2013;20(9):726-32. doi: 10.5551/jat.18283. Epub 2013 Jun 6.
We investigated whether any seasonal variation is observed in the incidence, severity and prognosis of critical limb ischemia (CLI) requiring endovascular therapy.
We analyzed a multicenter database of 1,568 consecutive CLI cases undergoing primary endovascular therapy for infrainguinal lesions between July 2004 and June 2011. The monthly incidence was assessed according to the cumulative number of cases in each month, using a simple moving average. The data were fitted to a nonlinear regression model with a cosine function. The monthly proportion of cases in each Rutherford classification among the overall CLI population was assessed using a multinomial logistic regression model. The monthly risk of major amputation was evaluated using a Cox proportional hazard regression model.
Significant seasonal variation was observed in the incidence of CLI (p<0.01). It was higher in the period from winter to spring, with a peak in March, and lower in the period from summer to autumn, with a trough in September; the fold difference between the peak and trough was 2.2. The seasonal variation was more markedly observed in the cases with a more severe Rutherford class. The proportion of cases in each Rutherford class among the overall CLI population also exhibited significant seasonal variation (p<0.01). In addition, the risk of major amputation demonstrated significant seasonal variation (p=0.03); however, the statistical significance was lost following adjustment for the Rutherford classification (p=0.10).
Seasonal variation is observed in the incidence and severity of CLI. The seasonality of the limb prognosis is likely explained by that of the CLI severity.
我们旨在探究是否存在需要血管内治疗的严重肢体缺血(CLI)的发病、严重程度和预后的季节性变化。
我们分析了 2004 年 7 月至 2011 年 6 月期间 1568 例连续 CLI 患者接受下肢血管腔内治疗的多中心数据库。根据每个月的累积病例数,使用简单移动平均法评估每月的发病率。将数据拟合到具有余弦函数的非线性回归模型中。使用多项逻辑回归模型评估每个 Rutherford 分类在整体 CLI 人群中的每月病例比例。使用 Cox 比例风险回归模型评估主要截肢的每月风险。
观察到 CLI 的发病存在显著的季节性变化(p<0.01)。从冬季到春季,发病率较高,峰值出现在 3 月,从夏季到秋季,发病率较低,谷值出现在 9 月;峰值与谷值之间的差异为 2.2。在 Rutherford 分类更严重的情况下,季节性变化更为明显。整体 CLI 人群中每个 Rutherford 分类的病例比例也表现出显著的季节性变化(p<0.01)。此外,主要截肢的风险也表现出显著的季节性变化(p=0.03);然而,在调整 Rutherford 分类后,这种统计学意义丧失(p=0.10)。
CLI 的发病和严重程度存在季节性变化。肢体预后的季节性可能由 CLI 严重程度的季节性解释。