PMID- 28964672
OWN - NLM
STAT- MEDLINE
DCOM- 20180827
LR  - 20180827
IS  - 1878-0210 (Electronic)
IS  - 1878-0210 (Linking)
VI  - 12
IP  - 1
DP  - 2018 Feb
TI  - Predictors of undiagnosed prevalent type 2 diabetes - The Danish General Suburban 
      Population Study.
PG  - 13-22
LID - S1751-9918(17)30140-7 [pii]
LID - 10.1016/j.pcd.2017.08.005 [doi]
AB  - AIMS: To investigate how self-reported risk factors (including socioeconomic 
      status) predict undiagnosed, prevalent type 2 diabetes mellitus (T2DM). To 
      externally validate Leicester Risk Assessment Score (LRAS), Finnish Diabetes Risk 
      Score (FINDRISC) and Danish Diabetes Risk Score (DDRS), and to investigate how 
      these predict a European Heart SCORE>/=5% in a Danish population study. METHODS: We 
      included 21,205 adults from the Danish General Suburban Population Study. We used 
      relative importance calculations of self-reported variables in prediction of 
      undiagnosed T2DM. We externally validated established prediction models reporting 
      ROC-curves for undiagnosed T2DM, pre-diabetes and SCORE. RESULTS: More than 20% 
      of people with T2DM were undiagnosed. The 7 most important self-rated predictors 
      in sequential order were high BMI, antihypertensive-therapy, age, cardiovascular 
      disease, waist-circumference, fitness compared to peers and family disposition 
      for T2DM. The Area Under the Curve for prediction of undiagnosed T2DM was 77.1 
      for LRAS; 75.4 for DDRS and 67.9 for FINDRISC. AUCs for SCORE was 75.1 for LRAS; 
      62.3 for DDRS and 54.3 for FINDRISC. CONCLUSIONS: BMI and self-reported 
      cardiovascular disease are important risk factors for undiagnosed T2DM. LRAS 
      performed better than DDRS and FINDRISC in prediction of undiagnosed T2DM and 
      SCORE>/=5%. SCORE performed best in predicting pre-diabetes.
CI  - Copyright (c) 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All 
      rights reserved.
FAU - Heltberg, Andreas
AU  - Heltberg A
AD  - Section of General Practice, Department of Public Health and Research Unit for 
      General Practice, University of Copenhagen, Denmark. Electronic address: 
      anhe@sund.ku.dk.
FAU - Andersen, John Sahl
AU  - Andersen JS
AD  - Section of General Practice, Department of Public Health and Research Unit for 
      General Practice, University of Copenhagen, Denmark.
FAU - Sandholdt, Hakon
AU  - Sandholdt H
AD  - Section of General Practice, Department of Public Health and Research Unit for 
      General Practice, University of Copenhagen, Denmark.
FAU - Siersma, Volkert
AU  - Siersma V
AD  - Section of General Practice, Department of Public Health and Research Unit for 
      General Practice, University of Copenhagen, Denmark.
FAU - Kragstrup, Jakob
AU  - Kragstrup J
AD  - Section of General Practice, Department of Public Health and Research Unit for 
      General Practice, University of Copenhagen, Denmark.
FAU - Ellervik, Christina
AU  - Ellervik C
AD  - Department of Production, Research, and Innovation, Region Zealand, Soro, 
      Denmark; Department of Laboratory Medicine, Boston Children's Hospital & Harvard 
      Medical School, Boston, MA, USA; Department of Clinical Medicine, Faculty of 
      Health and Medical Sciences, University of Copenhagen, Denmark.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20170928
PL  - England
TA  - Prim Care Diabetes
JT  - Primary care diabetes
JID - 101463825
RN  - 0 (Antihypertensive Agents)
SB  - IM
MH  - Adult
MH  - Age Factors
MH  - Aged
MH  - Aged, 80 and over
MH  - Antihypertensive Agents/therapeutic use
MH  - Area Under Curve
MH  - Blood Pressure/drug effects
MH  - Body Mass Index
MH  - Comorbidity
MH  - Cross-Sectional Studies
MH  - Denmark/epidemiology
MH  - Diabetes Mellitus, Type 2/diagnosis/*epidemiology
MH  - Educational Status
MH  - Female
MH  - Humans
MH  - Hypertension/diagnosis/drug therapy/epidemiology/physiopathology
MH  - Male
MH  - Middle Aged
MH  - Obesity/diagnosis/epidemiology
MH  - Physical Fitness
MH  - Prediabetic State/diagnosis/*epidemiology
MH  - Predictive Value of Tests
MH  - Prevalence
MH  - ROC Curve
MH  - Risk Assessment
MH  - Risk Factors
MH  - *Self Report
MH  - Social Class
MH  - *Socioeconomic Factors
MH  - *Suburban Health
MH  - Waist Circumference
MH  - Young Adult
OTO - NOTNLM
OT  - Fitness
OT  - Self assessment
OT  - Socioeconomic status
OT  - Undiagnosed diabetes
EDAT- 2017/10/02 06:00
MHDA- 2018/08/28 06:00
CRDT- 2017/10/02 06:00
PHST- 2017/03/23 00:00 [received]
PHST- 2017/08/26 00:00 [revised]
PHST- 2017/08/29 00:00 [accepted]
PHST- 2017/10/02 06:00 [pubmed]
PHST- 2018/08/28 06:00 [medline]
PHST- 2017/10/02 06:00 [entrez]
AID - S1751-9918(17)30140-7 [pii]
AID - 10.1016/j.pcd.2017.08.005 [doi]
PST - ppublish
SO  - Prim Care Diabetes. 2018 Feb;12(1):13-22. doi: 10.1016/j.pcd.2017.08.005. Epub 
      2017 Sep 28.