PMID- 27847807
OWN - NLM
STAT- MEDLINE
DCOM- 20170306
LR  - 20181113
IS  - 2314-6141 (Electronic)
IS  - 2314-6133 (Print)
VI  - 2016
DP  - 2016
TI  - Comorbidity in Adult Patients Hospitalized with Type 2 Diabetes in Northeast 
      China: An Analysis of Hospital Discharge Data from 2002 to 2013.
PG  - 1671965
LID - 1671965
AB  - This study aims to evaluate the comorbidity burden and patterns among adult 
      patients hospitalized with a diagnosis of type 2 diabetes mellitus (T2DM) in 
      Northeast China using hospital discharge data derived from the electronic medical 
      record database between 2002 and 2013. 12.8% of 4,400,892 inpatients aged >/=18 had 
      a diagnosis of T2DM. Sex differences in prevalence varied among those aged <50, 
      50-59, and >/=60. Twenty-seven diseases were determined as major comorbidities of 
      T2DM. Essential hypertension was the most common comorbidity of T2DM (absolute 
      cooccurrence risk, 58.4%), while T2DM was also the most popular comorbidity of 
      essential hypertension. Peripheral and visceral atherosclerosis showed the 
      strongest association (relative cooccurrence risk, RCoR 4.206). For five leading 
      comorbidities among patients aged >/=40, male patients had a stronger association 
      with disorders of lipid metabolism than female patients (RCoR 2.779 versus 
      2.099), and female patients had a stronger association with chronic renal failure 
      than male patients (RCoR 2.461 versus 2.155). Leading comorbidities, except 
      chronic renal failure, had declining associations with T2DM with increased age. 
      Collectively, hospital discharge data can be used to estimate disease prevalence 
      and identify comorbidities. The findings provided comprehensive information on 
      comorbidity patterns, helping policy makers and programs in public health domains 
      to estimate and evaluate the epidemic of chronic diseases.
FAU - Chen, Hui
AU  - Chen H
AUID- ORCID: 0000-0003-2256-0861
AD  - School of Biomedical Engineering, Capital Medical University, Beijing, China; 
      Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical 
      Application, Capital Medical University, Beijing, China.
FAU - Zhang, Yaoyun
AU  - Zhang Y
AD  - School of Biomedical Informatics, The University of Texas Health Science Center 
      at Houston, Houston, TX, USA.
FAU - Wu, Di
AU  - Wu D
AD  - Department of Endocrinology, Genetics, and Metabolism, Beijing Children's 
      Hospital, Capital Medical University, Beijing, China.
FAU - Gong, Chunxiu
AU  - Gong C
AD  - Department of Endocrinology, Genetics, and Metabolism, Beijing Children's 
      Hospital, Capital Medical University, Beijing, China.
FAU - Pan, Qing
AU  - Pan Q
AD  - School of Biomedical Engineering, Capital Medical University, Beijing, China.
FAU - Dong, Xiao
AU  - Dong X
AD  - School of Biomedical Informatics, The University of Texas Health Science Center 
      at Houston, Houston, TX, USA.
FAU - Wu, Yonghui
AU  - Wu Y
AD  - School of Biomedical Informatics, The University of Texas Health Science Center 
      at Houston, Houston, TX, USA.
FAU - Zhang, Kuan
AU  - Zhang K
AUID- ORCID: 0000-0003-4195-1198
AD  - School of Biomedical Engineering, Capital Medical University, Beijing, China; 
      Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical 
      Application, Capital Medical University, Beijing, China.
FAU - Wang, Shiping
AU  - Wang S
AD  - Health Information Center, Dalian, Liaoning, China.
FAU - Lei, Jianbo
AU  - Lei J
AUID- ORCID: 0000-0002-0807-1407
AD  - Health Science Center, Peking University, Beijing, China; School of Medical 
      Informatics and Engineering, Southwest Medical University, Luzhou, Sichuan, 
      China.
FAU - Xu, Hua
AU  - Xu H
AUID- ORCID: 0000-0002-5274-4672
AD  - School of Biomedical Informatics, The University of Texas Health Science Center 
      at Houston, Houston, TX, USA.
LA  - eng
PT  - Journal Article
DEP - 20161025
PL  - United States
TA  - Biomed Res Int
JT  - BioMed research international
JID - 101600173
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Algorithms
MH  - China/epidemiology
MH  - Comorbidity
MH  - Data Collection
MH  - Databases, Factual
MH  - Diabetes Mellitus, Type 2/*complications/*epidemiology
MH  - Electronic Health Records
MH  - Female
MH  - Hospitalization/statistics & numerical data
MH  - Humans
MH  - Lipid Metabolism
MH  - Male
MH  - Middle Aged
MH  - Models, Statistical
MH  - *Patient Discharge
MH  - Risk Factors
MH  - Sex Factors
MH  - Young Adult
PMC - PMC5099493
EDAT- 2016/11/17 06:00
MHDA- 2017/03/07 06:00
PMCR- 2016/10/25
CRDT- 2016/11/17 06:00
PHST- 2016/05/10 00:00 [received]
PHST- 2016/09/01 00:00 [revised]
PHST- 2016/09/21 00:00 [accepted]
PHST- 2016/11/17 06:00 [entrez]
PHST- 2016/11/17 06:00 [pubmed]
PHST- 2017/03/07 06:00 [medline]
PHST- 2016/10/25 00:00 [pmc-release]
AID - 10.1155/2016/1671965 [doi]
PST - ppublish
SO  - Biomed Res Int. 2016;2016:1671965. doi: 10.1155/2016/1671965. Epub 2016 Oct 25.