PMID- 29982638
OWN - NLM
STAT- MEDLINE
DCOM- 20190514
LR  - 20221207
IS  - 1945-7197 (Electronic)
IS  - 0021-972X (Linking)
VI  - 103
IP  - 9
DP  - 2018 Sep 1
TI  - Regional Differences in the Prevalence of Coronary Heart Disease and Stroke in 
      Patients With Type 2 Diabetes in China.
PG  - 3319-3330
LID - 10.1210/jc.2018-00422 [doi]
AB  - BACKGROUND: There are large regional variations in the prevalence and mortality 
      of cardiovascular disease in general populations in China. It remains uncertain 
      whether the prevalence in type 2 diabetes mellitus (T2DM) varies by region in 
      China. METHODS: We analyzed data of 219,522 Chinese patients with T2DM retrieved 
      from the China National HbA1c Surveillance System in 2012. We used the Chinese 
      population distribution in 2010 to standardize prevalence of coronary heart 
      disease (CHD), stroke, and composite of both in 30 provinces and seven geological 
      regions. Multivariable logistic regression was performed to obtain ORs and CIs of 
      provinces/geological regions for CHD, stroke, and composite of both. RESULTS: Age 
      and sex standardized prevalence of CHD, stroke, and composite of both was, 
      respectively, 4.59% (95% CI, 4.58 to 4.60), 1.79% (1.79 to 1.80), and 5.85% (5.84 
      to 5.86), in contrast to 0.60% of CHD, 0.80% of stroke, and 1.37% of composite of 
      both in the general population in China. After adjustment for traditional risk 
      factors, Northeast had the highest risks of CHD, stroke, and composite of both, 
      and North had the second highest risks of CHD, stroke, and composite of both 
      among the seven regions, both being higher than any other regions (all P values < 
      0.05). The ORs of Northeast vs Southwest were up to 2.60 (2.35 to 2.88) for CHD, 
      2.49 (2.15 to 2.88) for stroke, and 2.61 (2.38 to 2.86) for composite of both. 
      CONCLUSIONS: There were large variations in risks of CHD, stroke, and composite 
      of both in T2DM in China with Northeast and North having the highest risks.
FAU - Lyu, Yuanjun
AU  - Lyu Y
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Tianjin 
      Medical University, Tianjin, China.
AD  - Department of Endocrinology, Tianjin Hospital, Tianjin, China.
FAU - Luo, Yingying
AU  - Luo Y
AD  - Department of Endocrinology, Peking University People's Hospital, Beijing, China.
FAU - Li, Changping
AU  - Li C
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Tianjin 
      Medical University, Tianjin, China.
FAU - Guo, Xiaohui
AU  - Guo X
AD  - Department of Endocrinology, Peking University First Hospital, Beijing, China.
FAU - Lu, Juming
AU  - Lu J
AD  - Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
FAU - Wu, Honghua
AU  - Wu H
AD  - Department of Endocrinology, Peking University First Hospital, Beijing, China.
FAU - Huo, Xiaoxu
AU  - Huo X
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Tianjin 
      Medical University, Tianjin, China.
FAU - Gu, Weijun
AU  - Gu W
AD  - Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
FAU - Yang, Guoqing
AU  - Yang G
AD  - Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
FAU - Ji, Linong
AU  - Ji L
AD  - Department of Endocrinology, Peking University People's Hospital, Beijing, China.
FAU - Yang, Xilin
AU  - Yang X
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Tianjin 
      Medical University, Tianjin, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - J Clin Endocrinol Metab
JT  - The Journal of clinical endocrinology and metabolism
JID - 0375362
RN  - 0 (Glycated Hemoglobin A)
RN  - 0 (hemoglobin A1c protein, human)
SB  - IM
MH  - Aged
MH  - China/epidemiology
MH  - Coronary Disease/*epidemiology/etiology
MH  - Diabetes Mellitus, Type 2/blood/*complications
MH  - Female
MH  - Geography
MH  - Glycated Hemoglobin/analysis
MH  - Humans
MH  - Logistic Models
MH  - Male
MH  - Middle Aged
MH  - *Population Surveillance
MH  - Prevalence
MH  - Risk Factors
MH  - Stroke/*epidemiology/etiology
EDAT- 2018/07/10 06:00
MHDA- 2019/05/15 06:00
CRDT- 2018/07/09 06:00
PHST- 2018/02/22 00:00 [received]
PHST- 2018/06/27 00:00 [accepted]
PHST- 2018/07/10 06:00 [pubmed]
PHST- 2019/05/15 06:00 [medline]
PHST- 2018/07/09 06:00 [entrez]
AID - 5047769 [pii]
AID - 10.1210/jc.2018-00422 [doi]
PST - ppublish
SO  - J Clin Endocrinol Metab. 2018 Sep 1;103(9):3319-3330. doi: 10.1210/jc.2018-00422.