PDF(Pubmed)
Abstract：
UNASSIGNED: To develop a novel and accurate nomogram to predict survival without amputation in patients with acute lower limb ischemia (ALLI) during the first year following endovascular therapy.
UNASSIGNED: Patients with ALLI who underwent endovascular therapy in our department between January 2012 and September 2020 were screened and included in the research. The included patients were randomly divided into a training and validation cohorts, respectively. Univariate and multivariate analyses were used in the training cohort to identify independent risk factors for amputation-free survival (AFS). A nomogram was then developed according to the identified independent risk factors. The nomogram was then validated in the validation cohort.
UNASSIGNED: 415 Chinese patients with 417 affected limbs were included in this study. Among these patients, 311 patients were classified into the training cohort and 104 patients were assigned to the validation cohort. Most patients were men (n = 240) and the average age of patients was 71.43 (standard deviation 8.86) years old. After the univariate and multivariate analyses, advanced age (p < 0.001), history of smoking (p < 0.001), atrial fibrillation (p < 0.001), and insufficient outflow (p = 0.001) were revealed as independent risk factors for AFS during the first year. The nomogram yielded AUROC values of 0.912 (95 % confidence interval [CI]: 0.873-0.950) and 0.889 (95 % CI: 0.812-0.967) in the training and validation cohorts, respectively.
UNASSIGNED: Advanced age, history of smoking, atrial fibrillation, and insufficient outflow were independent negative predictors for AFS in ALLI patients treated by endovascular therapy. The novel nomogram offered an accurate prediction of AFS in ALLI patients.
UNASSIGNED: Patients with ALLI who underwent endovascular therapy in our department between January 2012 and September 2020 were screened and included in the research. The included patients were randomly divided into a training and validation cohorts, respectively. Univariate and multivariate analyses were used in the training cohort to identify independent risk factors for amputation-free survival (AFS). A nomogram was then developed according to the identified independent risk factors. The nomogram was then validated in the validation cohort.
UNASSIGNED: 415 Chinese patients with 417 affected limbs were included in this study. Among these patients, 311 patients were classified into the training cohort and 104 patients were assigned to the validation cohort. Most patients were men (n = 240) and the average age of patients was 71.43 (standard deviation 8.86) years old. After the univariate and multivariate analyses, advanced age (p < 0.001), history of smoking (p < 0.001), atrial fibrillation (p < 0.001), and insufficient outflow (p = 0.001) were revealed as independent risk factors for AFS during the first year. The nomogram yielded AUROC values of 0.912 (95 % confidence interval [CI]: 0.873-0.950) and 0.889 (95 % CI: 0.812-0.967) in the training and validation cohorts, respectively.
UNASSIGNED: Advanced age, history of smoking, atrial fibrillation, and insufficient outflow were independent negative predictors for AFS in ALLI patients treated by endovascular therapy. The novel nomogram offered an accurate prediction of AFS in ALLI patients.
摘要：
■开发一种新颖且准确的列线图，以预测血管内治疗后第一年急性下肢缺血（ALLI）患者的无截肢生存率。
■在2012年1月至2020年9月期间在我们部门接受血管内治疗的ALLI患者被筛查并纳入研究。将纳入的患者随机分为训练和验证队列，分别。在训练队列中使用单变量和多变量分析来确定无截肢生存（AFS）的独立危险因素。然后根据确定的独立风险因素制定列线图。然后在验证队列中验证列线图。
■本研究纳入了415例中国患者，其中417例患肢。在这些患者中,311名患者被分类到训练队列中，104名患者被分配到验证队列中。大多数患者为男性（n=240），患者的平均年龄为71.43（标准差8.86）岁。在单变量和多变量分析之后，高龄(p<0.001)，吸烟史（p<0.001），心房颤动（p<0.001），和流出不足(p=0.001)被揭示为第一年AFS的独立危险因素。在训练和验证队列中，列线图得出的AUROC值为0.912（95％置信区间[CI]：0.873-0.950）和0.889（95％CI：0.812-0.967），分别。
■高龄，吸烟史,心房颤动,在接受血管内治疗的ALLI患者中，流出不足是AFS的独立阴性预测因子。新的列线图提供了ALLI患者AFS的准确预测。
■在2012年1月至2020年9月期间在我们部门接受血管内治疗的ALLI患者被筛查并纳入研究。将纳入的患者随机分为训练和验证队列，分别。在训练队列中使用单变量和多变量分析来确定无截肢生存（AFS）的独立危险因素。然后根据确定的独立风险因素制定列线图。然后在验证队列中验证列线图。
■本研究纳入了415例中国患者，其中417例患肢。在这些患者中,311名患者被分类到训练队列中，104名患者被分配到验证队列中。大多数患者为男性（n=240），患者的平均年龄为71.43（标准差8.86）岁。在单变量和多变量分析之后，高龄(p<0.001)，吸烟史（p<0.001），心房颤动（p<0.001），和流出不足(p=0.001)被揭示为第一年AFS的独立危险因素。在训练和验证队列中，列线图得出的AUROC值为0.912（95％置信区间[CI]：0.873-0.950）和0.889（95％CI：0.812-0.967），分别。
■高龄，吸烟史,心房颤动,在接受血管内治疗的ALLI患者中，流出不足是AFS的独立阴性预测因子。新的列线图提供了ALLI患者AFS的准确预测。
