PMID- 23856414
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20130722
LR  - 20211021
IS  - 1758-5996 (Print)
IS  - 1758-5996 (Electronic)
IS  - 1758-5996 (Linking)
VI  - 5
IP  - 1
DP  - 2013 Jul 15
TI  - Predictive models for type 2 diabetes onset in middle-aged subjects with the 
      metabolic syndrome.
PG  - 36
LID - 10.1186/1758-5996-5-36 [doi]
AB  - OBJECTIVE: To investigate the predictive value of different biomarkers for the 
      incidence of type 2 diabetes mellitus (T2DM) in subjects with metabolic syndrome. 
      METHODS: A prospective study of 525 non-diabetic, middle-aged Lithuanian men and 
      women with metabolic syndrome but without overt atherosclerotic diseases during a 
      follow-up period of two to four years. We used logistic regression to develop 
      predictive models for incident cases and to investigate the association between 
      various markers and the onset of T2DM. RESULTS: Fasting plasma glucose (FPG), 
      body mass index (BMI), and glycosylated haemoglobin can be used to predict 
      diabetes onset with a high level of accuracy and each was shown to have a 
      cumulative predictive value. The estimated area under the receiver-operating 
      characteristic curve (AUC) for this combination was 0.92. The oral glucose 
      tolerance test (OGTT) did not show cumulative predictive value. Additionally, 
      progression to diabetes was associated with high values of aortic pulse-wave 
      velocity (aPWV). CONCLUSION: T2DM onset in middle-aged metabolic syndrome 
      subjects can be predicted with remarkable accuracy using the combination of FPG, 
      BMI, and HbA1c, and is related to elevated aPWV measurements.
FAU - Ozery-Flato, Michal
AU  - Ozery-Flato M
AD  - Machine Learning and Data Mining group, IBM Research - Haifa, Mount Carmel, Haifa 
      3498825, Israel. ozery@il.ibm.com.
FAU - Parush, Naama
AU  - Parush N
FAU - El-Hay, Tal
AU  - El-Hay T
FAU - Visockiene, Zydrune
AU  - Visockiene Z
FAU - Ryliskyte, Ligita
AU  - Ryliskyte L
FAU - Badariene, Jolita
AU  - Badariene J
FAU - Solovjova, Svetlana
AU  - Solovjova S
FAU - Kovaite, Milda
AU  - Kovaite M
FAU - Navickas, Rokas
AU  - Navickas R
FAU - Laucevicius, Aleksandras
AU  - Laucevicius A
LA  - eng
PT  - Journal Article
DEP - 20130715
PL  - England
TA  - Diabetol Metab Syndr
JT  - Diabetology & metabolic syndrome
JID - 101488958
PMC - PMC3717122
EDAT- 2013/07/17 06:00
MHDA- 2013/07/17 06:01
PMCR- 2013/07/15
CRDT- 2013/07/17 06:00
PHST- 2013/03/19 00:00 [received]
PHST- 2013/07/04 00:00 [accepted]
PHST- 2013/07/17 06:00 [entrez]
PHST- 2013/07/17 06:00 [pubmed]
PHST- 2013/07/17 06:01 [medline]
PHST- 2013/07/15 00:00 [pmc-release]
AID - 1758-5996-5-36 [pii]
AID - 10.1186/1758-5996-5-36 [doi]
PST - epublish
SO  - Diabetol Metab Syndr. 2013 Jul 15;5(1):36. doi: 10.1186/1758-5996-5-36.