中老年体检人群颈动脉易损斑块的影响因素及列线图模型的建立
作者:
作者单位:

(1. 苏州大学附属第一医院健康管理中心,江苏 苏州 215006;2. 泰州市人民医院老年医学科,江苏 泰州 225300)

作者简介:

通讯作者:

中图分类号:

R543.4

基金项目:

江苏省干部保健课题(BJ20009)


Influencing factors of and a nomogram model formulation for vulnerable carotid artery plaques in middle-aged and elderly patients
Author:
Affiliation:

1. Health Management Center, First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China;2. Department of Geriatrics, Taizhou People′s Hospital, Taizhou 225300, Jiangsu Province, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的 分析中老年体检人群颈动脉易损斑块的相关危险因素,并构建列线图预测模型。方法 回顾性分析2021年9月至12月于苏州大学附属第一医院健康管理中心行颈部血管彩超检查的1612例体检者的体检资料。根据颈部血管彩色多普勒超声检查分为易损斑块组(287例)及非易损斑块组(1325例),统计分析2组一般资料、血常规及生化等实验室指标。采用单因素分析及多因素logistic回归分析筛选发生易损斑块的危险因素,联合各独立因素构建发生易损斑块的列线图预测模型,并对模型的预测性和区分度进行验证。采用SPSS(26.0)及R Studio(4.0.2)软件进行统计分析及图形绘制。根据数据类型,组间比较分别采用t检验及χ2检验。结果 与非易损斑块组比较,易损斑块组患者年龄更大,男性、高血压及糖尿病史占比更高,差异均有统计学意义(均P<0.05);易损斑块组患者中性粒细胞计数、单核细胞计数、中性粒细胞/淋巴细胞比值、空腹血糖、肌酐较非易损斑块组患者升高,易损斑块组患者血小板计数、血小板/淋巴细胞比值、白蛋白、总胆固醇、低密度脂蛋白胆固醇较非易损斑块组患者降低,差异均有统计学意义(均P<0.05)。多因素logistic回归分析结果显示年龄(OR=1.099,95%CI 1.078~1.120,P<0.001)、高血压(OR=1.848,95%CI 1.351~2.527,P<0.001)、糖尿病(OR=3.757,95%CI 2.614~5.400,P<0.001)、中性粒细胞/淋巴细胞比值(OR=2.025,95%CI 1.055~3.885,P=0.034)是颈动脉易损斑块的独立危险因素。利用上述指标构建回归方程并绘制列线图预测模型,对发生易损斑块的列线图模型进行内部验证,C检验参数为0.778,校准曲线显示,模型一致性较好,受试者工作特征曲线下面积为0.781(95%CI 0.752~0.809)。结论 中老年体检者发生颈动脉易损斑块的列线图预测模型预测能力和区分能力较好,可用于中老年体检人群颈动脉易损斑块的预测。

    Abstract:

    Objective To analyze the risk factors of the vulnerable carotid artery plaques in the middle-aged and elderly people undergoing physical examination and to formulate a predictive nomogram model. Methods A retrospective analysis was performed of the physical-examination data of 1 612 patients who underwent cervical vascular Doppler ultrasonography at Health Management Center of the First Affiliated Hospital of Soochow University from September 2021 to December 2021. According to ultrasonographic findings, the patients were divided into vulnerable plaque group (n=287) and non-vulnerable plaque group (n=1 325). Statistical analysis were done of the general data, results of routine blood test, biochemical and other laboratory indicators of the two groups. The risk factors for the occurrence of vulnerable plaques were screened with univariate analysis and multivariate logistic regression, and a predictive nomogram model for the occurrence of vulnerable plaques was formulated by combining the independent factors, and the predictiveness and discrimination of the model were verified. SPSS 26.0 and R Studio 4.0.2 were used for statistical analysis and graphics. Depending on the data type, t-test andχ2 test were used for comparison between groups. Results Compared with the non-vulnerable plaque group, the patients in vulnerable plaque group were older with a higher proportion of males, hypertension and diabetes history, the differences being statistically significant (P<0.05 for all). The vulnerable plaque group were higher than the non-vulnerable plaque group in neutrophil count, monocyte count, neutrophil to lymphocyte ratio, fasting plasma glucose and creatinine, but lower in platelet count, platelet-to-lymphocyte ratio, albumin, total cholesterol and low-density lipoprotein cholesterol, all with statistically significant difference (P<0.05 for all). Multivariate logistic regression analysis showed that age (OR=1.099,95%CI 1.078-1.120, P<0.001), hypertension (OR=1.848,95%CI 1.351-2.527, P<0.001), diabetes mellitus (OR=3.757,95%CI 2.614-5.400, P<0.001), and neutrophil count/lymphocyte count ratio (OR=2.025,95%CI 1.055-3.885, P=0.034) were independent risk factors of vulnerable carotid plaque. The above indicators were used to formulate a regression equation and draw a predictive nomogram for the occurrence of vulnerable plaque, and an internal verification of it was performed. With a parameter of 0.778 for C test, the calibration curve showed good consistency of the model with an area under the receiver operating characteristic curve of 0.781 (95%CI 0.752-0.809). Conclusion The predictive histogram model for the occurrence of vulnerable carotid plaque in middle-aged and elderly patients is good. The predictiveness and discrimination can be used to predict vulnerable carotid plaque in middle-aged and elderly people undergoing physical examination.

    参考文献
    相似文献
    引证文献
引用本文

张代义,吴琼,李桢允,严苏,浦剑虹.中老年体检人群颈动脉易损斑块的影响因素及列线图模型的建立[J].中华老年多器官疾病杂志,2022,21(12):923~928

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-06-09
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-01-09
  • 出版日期: