Comorbidity Analysis According to Sex and Age in Hypertension Patients in China
Liu, Jiaqi1; Ma, James3; Wang, Jiaojiao1; Zeng, Daniel Dajun1; Song, Hongbin4; Wang, Ligui4; Cao, Zhidong1,2; Zhidong Cao
发表期刊INTERNATIONAL JOURNAL OF MEDICAL SCIENCES
2016
卷号13期号:2页码:99-107
文章类型Article
摘要
Background: Hypertension, an important risk factor for the health of human being, is often accompanied by various comorbidities. However, the incidence patterns of those comorbidities have not been widely studied.
Aim: Applying big-data techniques on a large collection of electronic medical records, we investigated sex-specific and age-specific detection rates of some important comorbidities of hypertension, and sketched their relationships to reveal the risk for hypertension patients. 
Methods: We collected a total of 6,371,963 hypertension-related medical records from 106 hospitals in 72 cities throughout China. Those records were reported to a National Center for Disease Control in China between 2011 and 2013. Based on the comprehensive and geographically distributed data set, we identified the top 20 comorbidities of hypertension, and disclosed the sex-specific and age-specific patterns of those comorbidities. A comorbidities network was constructed based on the frequency of co-occurrence relationships among those comorbidities.
Results: The top four comorbidities of hypertension were coronary heart disease, diabetes, hyperlipemia, and arteriosclerosis, whose detection rates were 21.71% (21.49% for men vs 21.95% for women), 16.00% (16.24% vs 15.74%), 13.81% (13.86% vs 13.76%), and 12.66% (12.25% vs 13.08%), respectively. The age-specific detection rates of comorbidities showed five unique patterns and also indicated that nephropathy, uremia, and anemia were significant risks for patients under 39 years of age. On the other hand, coronary heart disease, diabetes, arteriosclerosis, hyperlipemia, and cerebral infarction were more likely to occur in older patients. The comorbidity network that we constructed
indicated that the top 20 comorbidities of hypertension had strong co-occurrence correlations.

Conclusions: Hypertension patients can be aware of their risks of comorbidities based on our sex-specific results, age-specific patterns, and the comorbidity network. Our findings provide useful insights into the comorbidity prevention, risk assessment, and early warning for hypertension patients.
关键词Hypertension Comorbidity Electronic Medical Records Detection Rate Network Analysis
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.7150/ijms.13456
关键词[WOS]QUALITY-OF-LIFE ; CO-MORBIDITIES ; UNITED-STATES ; PREVALENCE ; AWARENESS ; DISEASE ; RISK ; OBESITY ; NETWORKS ; TRENDS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(91024030 ; Important National Science & Technology Specific Projects(2012ZX10004801 ; 71025001 ; 2013ZX10004218) ; 91224008 ; 91324007)
WOS研究方向General & Internal Medicine
WOS类目Medicine, General & Internal
WOS记录号WOS:000371306200002
引用统计
被引频次:33[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11186
专题多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者Zhidong Cao
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Cloud Comp Ctr, Dongguan, Peoples R China
3.Univ Colorado, Coll Business, Colorado Springs, CO 80907 USA
4.Acad Mil Med Sci, Inst Dis Control & Prevent, Beijing, Peoples R China
第一作者单位中国科学院自动化研究所
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Liu, Jiaqi,Ma, James,Wang, Jiaojiao,et al. Comorbidity Analysis According to Sex and Age in Hypertension Patients in China[J]. INTERNATIONAL JOURNAL OF MEDICAL SCIENCES,2016,13(2):99-107.
APA Liu, Jiaqi.,Ma, James.,Wang, Jiaojiao.,Zeng, Daniel Dajun.,Song, Hongbin.,...&Zhidong Cao.(2016).Comorbidity Analysis According to Sex and Age in Hypertension Patients in China.INTERNATIONAL JOURNAL OF MEDICAL SCIENCES,13(2),99-107.
MLA Liu, Jiaqi,et al."Comorbidity Analysis According to Sex and Age in Hypertension Patients in China".INTERNATIONAL JOURNAL OF MEDICAL SCIENCES 13.2(2016):99-107.
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