UNASSIGNED: A total of 362 patients LEASO who received vascular intervention were recruited in this study. Serum HMGB1 levels were measured by enzyme-linked immunosorbent assay. Logistic regression analysis was used to identify the influencing factors associated with vascular restenosis. The R procedure was used to create nomogram model. Receiver operating characteristic (ROC) analysis was used to determine the predictive value of serum HMGB1 and nomogram model for vascular restenosis.
UNASSIGNED: Of the 362 LEASO patients included, 103 (28.45%) developed restenosis within 6 months of postoperative follow-up. Postoperative HMGB1 levels were significantly higher in patients with restenosis compared to those with non-restenosis. Postoperative HMGB1 levels were significantly and positively correlated with the severity of postoperative restenosis (r = 0.819). The AUC of postoperative HMGB1 for the diagnosis of postoperative restenosis was 0.758 (95% CI: 0.703-0.812), with a sensitivity and specificity of 56.31% and 82.24%, respectively. Multivariate logistic regression analysis showed that diabetes, smoking, regular postoperative medication, increased fibrinogen, decreased red blood cells, increased hs-CRP, and increased postoperative HMGB1 were independently associated with postoperative restenosis in patients with LEASO. The C-index of the nomogram prediction model constructed based on the seven influencing factors mentioned above was 0.918. The nomogram model was significantly more predictive of postoperative restenosis in LEASO patients compared with a single postoperative HMGB1 (AUC: 0.918, 95% CI: 0.757-0.934).
UNASSIGNED: Postoperative serum HMGB1 is an independent risk factor associated with postoperative vascular restenosis in patients with LEASO, and a novel nomogram model based on postoperative serum HMGB1 combined with clinical characteristics may help to accurately predict the risk of postoperative restenosis in patients with LEASO.
UNASSIGNED:本研究共招募了362名接受血管介入治疗的LEASO患者。采用酶联免疫吸附法检测血清HMGB1水平。采用Logistic回归分析确定血管再狭窄的影响因素。R程序用于创建列线图模型。受试者工作特征(ROC)分析用于确定血清HMGB1和列线图模型对血管再狭窄的预测价值。
未经批准:在纳入的362名LEASO患者中,术后随访6个月内103例(28.45%)出现再狭窄。再狭窄患者术后HMGB1水平明显高于非再狭窄患者。术后HMGB1水平与术后再狭窄程度呈正相关(r=0.819)。术后HMGB1诊断术后再狭窄的AUC为0.758(95%CI:0.703-0.812),敏感性和特异性分别为56.31%和82.24%,分别。多因素logistic回归分析显示,吸烟,术后常规用药,纤维蛋白原增加,红细胞减少,hs-CRP升高,术后HMGB1升高与LEASO患者术后再狭窄独立相关。根据上述7个影响因素构建的列线图预测模型的C指数为0.918。与单个术后HMGB1相比,列线图模型对LEASO患者术后再狭窄的预测能力更高(AUC:0.918,95%CI:0.757-0.934)。
UNASSIGNED:术后血清HMGB1是LEASO患者术后血管再狭窄的独立危险因素,基于术后血清HMGB1结合临床特征的新型列线图模型可能有助于准确预测LEASO患者术后再狭窄的风险。