Impaired Fasting Glucose in Nondiabetic Range: Is It a Marker of Cardiovascular Risk Factor Clustering?
BACKGROUND
Impaired fasting glucose (IFG) through the nondiabetic range (100-125 mg/dL) is not considered in the cardiovascular (CV) risk profile.


OBJECTIVE
To compare the clustering of CV risk factors (RFs) in nondiabetic subjects with normal fasting glucose (NFG) and IFG.


METHODS
Cross-sectional study in 3739 nondiabetic subjects. Demographics, medical history, and CV risk factors were collected and lipid profile, fasting glucose levels (FBG), C-reactive protein (hsCRP), blood pressure (BP), anthropometric measurements, and aerobic capacity were determined.


RESULTS
559 (15%) subjects had IFG: they had a higher mean age, BMI, waist circumference, non-HDL cholesterol, BP, and hsCRP (p < 0.0001) and lower HDL (p < 0.001) and aerobic capacity (p < 0.001). They also had a higher prevalence of hypertension (34% versus 25%; p < 0.001), dyslipidemia (79% versus 74%; p < 0.001), and obesity (29% versus 16%; p < 0.001) and a higher Framingham risk score (8% versus 6%; p < 0.001). The probability of presenting 3 or more CV RFs adjusted by age and gender was significantly higher in the top quintile of fasting glucose (≥98 mg/dL; OR = 2.02; 1.62-2.51).


CONCLUSIONS
IFG in the nondiabetic range is associated with increased cardiovascular RF clustering.
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Giovanna
G
Valentino
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Verónica
V
Kramer
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Lorena
L
Orellana
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
María José
MJ
Bustamante
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Cinthia
C
Casasbellas
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Marcela
M
Adasme
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Alejandra
A
Salazar
Departamento de Matemáticas, Universidad de la Serena, La Serena, Chile.
Carlos
C
Navarrete
División de Enfermedades Cardiovasculares, Facultad de Medicina, Escuela de Medicina, Pontificia Universidad Católica de Chile, 8330074 Santiago, Chile.
Mónica
M
Acevedo
D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism*; D001794:Blood Pressure; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000097:blood* / Q000175:diagnosis; D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D005215:Fasting / Q000097:blood*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged
D015415:Biomarkers; D001786:Blood Glucose; D002097:C-Reactive Protein; D002784:Cholesterol