PubTransformer

A site to transform Pubmed publications into these bibliographic reference formats: ADS, BibTeX, EndNote, ISI used by the Web of Knowledge, RIS, MEDLINE, Microsoft's Word 2007 XML.

Prevalence of Undiagnosed Diabetes in Rheumatoid Arthritis: an OGTT Study.

Abstract Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by an excess of cardiovascular disease (CVD) risk, estimated to be at least 50% greater when compared to the general population. Although the widespread diffusion of type 2 diabetes mellitus (T2DM) awareness, there is still a significant proportion of patients with T2DM that remain undiagnosed. Aim of this cross-sectional study was to evaluate the prevalence of undiagnosed diabetes and prediabetes in RA patients. For the present study, 100 consecutive nondiabetic RA patients were recruited. Age- and sex-matched subjects with noninflammatory diseases (osteoarthritis or fibromyalgia) were used as controls. After overnight fasting, blood samples were obtained for laboratory evaluation including serum glucose, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, triglycerides, uric acid, erythrocyte sedimentation rate (ESR), high sensitivity C-reactive protein (hs-CRP), rheumatoid factor (RF), and anti-Cyclic Citrullinated Peptide Antibodies (ACPA). A standard Oral Glucose Tolerance Test (OGTT) with 75 g of glucose was performed and blood samples were collected at time 0, 30, 60, 90, and 120 minutes, for measurement of plasma glucose concentrations. The prevalence of impaired fasting glucose (IFG) (9/100 vs 12/100, P = 0.49), impaired glucose tolerance (IGT) (19/100 vs 12/100, P = 0.17), and concomitant IFG/IGT (5/100 vs 9/100, P = 0.27) was similar between groups, whereas the prevalence of diabetes was significantly higher in RA patients (10/100 vs 2/100, P = 0.02). In a logistic regression analysis, increasing age (OR = 1.13, 95% CI 1.028-1.245, P = 0.01) and disease duration (OR = 1.90, 95% CI 1.210-2.995, P = 0.005) were both associated with an increased likelihood of being classified as prediabetes (i.e. IFG and/or IGT) or T2DM. A ROC curve was built to evaluate the predictivity of disease duration on the likelihood of being diagnosed with T2DM. The area under the ROC curve was 0.67 (95% CI: 0.56-0.78, P = 0.004). We identified the best cut-off of 33 months that yielded a sensitivity of 61% and a specificity of 70% for classification of T2DM patients. According to our data, RA seems to be characterized by an elevated prevalence of undiagnosed diabetes, especially in patients with longer disease duration.
PMID
Related Publications

Prevalence of type II diabetes mellitus in population of Krakow.

Fasting plasma glucose as initial screening for diabetes and prediabetes in irish adults: The Diabetes Mellitus and Vascular health initiative (DMVhi).

Role of various indices derived from an oral glucose tolerance test in the prediction of conversion from prediabetes to type 2 diabetes.

Period prevalence of abnormal glucose tolerance and cardiovascular risk factors among obese children attending an obesity centre in Italy.

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

Authors

Mayor MeshTerms
Keywords
Journal Title medicine
Publication Year Start




PMID- 26886599
OWN - NLM
STAT- MEDLINE
DA  - 20160218
DCOM- 20160706
LR  - 20170224
IS  - 1536-5964 (Electronic)
IS  - 0025-7974 (Linking)
VI  - 95
IP  - 7
DP  - 2016 Feb
TI  - Prevalence of Undiagnosed Diabetes in Rheumatoid Arthritis: an OGTT Study.
PG  - e2552
LID - 10.1097/MD.0000000000002552 [doi]
AB  - Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by an
      excess of cardiovascular disease (CVD) risk, estimated to be at least 50% greater
      when compared to the general population. Although the widespread diffusion of
      type 2 diabetes mellitus (T2DM) awareness, there is still a significant
      proportion of patients with T2DM that remain undiagnosed. Aim of this
      cross-sectional study was to evaluate the prevalence of undiagnosed diabetes and 
      prediabetes in RA patients. For the present study, 100 consecutive nondiabetic RA
      patients were recruited. Age- and sex-matched subjects with noninflammatory
      diseases (osteoarthritis or fibromyalgia) were used as controls. After overnight 
      fasting, blood samples were obtained for laboratory evaluation including serum
      glucose, total cholesterol, high-density lipoprotein (HDL)-cholesterol,
      low-density lipoprotein (LDL)-cholesterol, triglycerides, uric acid, erythrocyte 
      sedimentation rate (ESR), high sensitivity C-reactive protein (hs-CRP),
      rheumatoid factor (RF), and anti-Cyclic Citrullinated Peptide Antibodies (ACPA). 
      A standard Oral Glucose Tolerance Test (OGTT) with 75 g of glucose was performed 
      and blood samples were collected at time 0, 30, 60, 90, and 120 minutes, for
      measurement of plasma glucose concentrations. The prevalence of impaired fasting 
      glucose (IFG) (9/100 vs 12/100, P = 0.49), impaired glucose tolerance (IGT)
      (19/100 vs 12/100, P = 0.17), and concomitant IFG/IGT (5/100 vs 9/100, P = 0.27) 
      was similar between groups, whereas the prevalence of diabetes was significantly 
      higher in RA patients (10/100 vs 2/100, P = 0.02). In a logistic regression
      analysis, increasing age (OR = 1.13, 95% CI 1.028-1.245, P = 0.01) and disease
      duration (OR = 1.90, 95% CI 1.210-2.995, P = 0.005) were both associated with an 
      increased likelihood of being classified as prediabetes (i.e. IFG and/or IGT) or 
      T2DM. A ROC curve was built to evaluate the predictivity of disease duration on
      the likelihood of being diagnosed with T2DM. The area under the ROC curve was
      0.67 (95% CI: 0.56-0.78, P = 0.004). We identified the best cut-off of 33 months 
      that yielded a sensitivity of 61% and a specificity of 70% for classification of 
      T2DM patients. According to our data, RA seems to be characterized by an elevated
      prevalence of undiagnosed diabetes, especially in patients with longer disease
      duration.
FAU - Ursini, Francesco
AU  - Ursini F
AD  - From the Department of Health Sciences (FU, ER, FA, MLH, LD, CB, SN, RDG, GDS);
      University of Catanzaro "Magna Graecia", Catanzaro; Rheumatology Department of
      Lucania (SD, IO); San Carlo Hospital of Potenza, Potenza; and CNR-IFC (GT),
      Clinical Epidemiology and Pathophysiology of Hypertension and Renal Diseases,
      Ospedali Riuniti, Reggio Calabria, Italy.
FAU - Russo, Emilio
AU  - Russo E
FAU - D'Angelo, Salvatore
AU  - D'Angelo S
FAU - Arturi, Franco
AU  - Arturi F
FAU - Hribal, Marta Letizia
AU  - Hribal ML
FAU - D'Antona, Lucia
AU  - D'Antona L
FAU - Bruno, Caterina
AU  - Bruno C
FAU - Tripepi, Giovanni
AU  - Tripepi G
FAU - Naty, Saverio
AU  - Naty S
FAU - De Sarro, Giovambattista
AU  - De Sarro G
FAU - Olivieri, Ignazio
AU  - Olivieri I
FAU - Grembiale, Rosa Daniela
AU  - Grembiale RD
LA  - eng
PT  - Journal Article
PT  - Observational Study
PL  - United States
TA  - Medicine (Baltimore)
JT  - Medicine
JID - 2985248R
RN  - 0 (Lipids)
RN  - 9007-41-4 (C-Reactive Protein)
SB  - AIM
SB  - IM
MH  - Age Factors
MH  - Aged
MH  - Arthritis, Rheumatoid/*epidemiology
MH  - Body Mass Index
MH  - C-Reactive Protein/analysis
MH  - Cross-Sectional Studies
MH  - Diabetes Mellitus, Type 2/*diagnosis/*epidemiology
MH  - Female
MH  - Glucose Intolerance/diagnosis/epidemiology
MH  - Glucose Tolerance Test
MH  - Humans
MH  - Lipids/blood
MH  - Male
MH  - Middle Aged
MH  - Prediabetic State/diagnosis/epidemiology
MH  - Prevalence
MH  - ROC Curve
PMC - PMC4998599
OID - NLM: PMC4998599
COI - The authors have no funding and conflicts of interest to disclose.
EDAT- 2016/02/18 06:00
MHDA- 2016/07/07 06:00
CRDT- 2016/02/18 06:00
AID - 10.1097/MD.0000000000002552 [doi]
AID - 00005792-201602150-00006 [pii]
PST - ppublish
SO  - Medicine (Baltimore). 2016 Feb;95(7):e2552. doi: 10.1097/MD.0000000000002552.

<?xml version="1.0" encoding="UTF-8"?>
<b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography"  xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" >
</b:Sources>