基于医院的高血压患者颈动脉硬化发生风险列线图的建立

doi:10.3969/j.issn.1006-5253.2020.03.005

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (1031 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective To establish a predictive model for the risk of carotid atherosclerosis in patients with hypertension and evaluate it. Methods Patients with hypertension in our hospital from June 2016 to December 2018 were analyzed retrospectively.The clinical data, main biochemical indexes and intima-medium thickness value of carotid artery were collected. SPSS 25.0 and R 3.6.1 software were used for statistical analysis, and the prediction model was established and evaluated. Results Univariate and multivariate analysis showed that age ≥ 60 years, elevated low density lipoprotein cholesterol and alkaline phosphatase were independent risk factors for carotid atherosclerosis in patients with hypertension. According to the variables selected by Logistic regression model, the risk nomograph was established. The C-index is 0.770, and the distinguishing ability of the model is good. The AUC calculated by ROC curve is 0.770, and the accuracy of the model is good. The evaluation of Calibration curve and Decision curve shows that the consistency and benefit of the model are still available. Conclusion The accuracy of the nomograph for the risk of carotid atherosclerosis in patients with hypertension is reasonable, which has a certain reference value in the clinical work and individual risk analysis. However, due to the small sample size and the limited source of cases,it still needs to be verified by large sample and multicenter research.

Key words： hypertension carotid atherosclerosis risk prediction model nomograp

Received: 19 December 2019

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Shen Qundi

Cite this article:

Shen Qundi. Establishment of a hospital-based nomogram of the risk of carotid atherosclerosis in patients with hypertension[J]. journal1, 2020, 27(3): 211-214.

URL:

http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2020.03.005 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2020/V27/I3/211

[1]中华人民共和国卫生部心血官病研究中心.中国高血压防治指南：2009年修订版[M].北京：人民卫生出版社，2009:85.
[2]李运刚，于振江，贾汇刚.脑梗死患者Essen脑卒中风险评估量表与颈动脉内膜-中层厚度的相关性[J].中国老年学杂志，2016，36（6)：1495-1496.
[3] 程丽，冯燕娴.碱性磷酸酶在动脉粥样硬化性疾病中的研究进展及意义[J].淮海医药，2018，36(6)：760-763.
[4]周亮良.通心络胶囊联合阿托伐他汀钙胶囊治疗颈动脉粥样硬化临床研究[J].新中医，2019,51（11）:89-92.
[5]周月琴，凌迎春，沈群弟，等.高血压患者血清瘦素与颈动脉硬化的相关性分析[J].中国公共卫生管理，2019,35（1）:10-12.
[6]张晶.阿托伐他汀治疗老年高血压患者动脉硬化的临床分析[J].中国实用医药，2019,14（29)：85-86.
[7]胡诗雨，任力杰，韩漫夫，等.深圳地区颈动脉粥样硬化与年龄、性别的相关性研究[J].中国微侵袭神经外科杂志，2014，19（5）：213-214.
[8] 国华，宋军平.不同年龄段脑梗死患者颅外颈动脉粥样硬化特点分析[J].南昌大学学报(医学版)，2012,52（10）:54-56.
[9]SCHUTTE R,HUISMAN H W,MALAN L,et al.alkaline phosphatase and arterial structure andfunction in hypertensive African men:the SABPA study[J].Int J Cardiol,2013,167(5):1995-2001.
[10]NANNIPIERI M,GONZALES C,BALDI S,et al.Liver enzymes,the metabolic syndrome,and incident diabetes:the mexico city diabetes study[J].Diabetes Care,2005,28（7):1757-1762.[11]YE Y C,LIU HM,ZHOU Y,et al.Association between serum alkaline phosphatase and carotid atherosclerosis in a chinese population:acommunity-based cross-sectional study[J].Biomed Environ Sci,2019，32(6)：446-453.
[12]CASELLA I B,SOTELO F J,YAMAZAKI Y,et al.Comparison ofcommon carotid artery intima-media thickness between brazilianeuro-descendants and afro-descendants with atherosclerosis risk factors[J].Clinics,2009,64（7)：657-664.
[13]董茜，李燕，魏方菲，等.血清碱性磷酸酶水平与动态血压及中心动脉压的关系[J].中华高血压杂志，2013，21（10）：969-973.
[14]HIGGINS C L,ISBILIR S,BASTO P,et al.Distribution of alkalinephosphatase,osteopontin,RANK ligand and osteoprotegerin in caleified human carotid atheroma[J].Protein J，2015,34(5):315-328.
[15]查晓娟，江明菲，李荣，等.高尿酸血症的列线图模型建立[J].皖南医学院学报，2019,38(2):180-182.[16]石亚飞，陈伟，曹宇，等.非小细胞肺癌患者预后影响因素分析及预测列线图构建[J].中国医院药学杂志，2018，38(20):2137-2140.