title: Cardiometabolic Risk Profiles in Patients With Impaired Fasting Glucose and/or Hemoglobin A1c 5.7% to 6.4%: Evidence for a Gradient According to Diagnostic Criteria: The PREDAPS Study.
abstract: It has been suggested that the early detection of individuals with prediabetes can help prevent cardiovascular diseases. The purpose of the current study was to examine the cardiometabolic risk profile in patients with prediabetes according to fasting plasma glucose (FPG) and/or hemoglobin A1c (HbA1c) criteria.Cross-sectional analysis from the 2022 patients in the Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS Study) was developed. Four glycemic status groups were defined based on American Diabetes Association criteria. Information about cardiovascular risk factors-body mass index, waist circumference, blood pressure, cholesterol, triglycerides, uric acid, gamma-glutamyltransferase, glomerular filtration-and metabolic syndrome components were analyzed. Mean values of clinical and biochemical characteristics and frequencies of metabolic syndrome were estimated adjusting by age, sex, educational level, and family history of diabetes.A linear trend (P < 0.001) was observed in most of the cardiovascular risk factors and in all components of metabolic syndrome. Normoglycemic individuals had the best values, individuals with both criteria of prediabetes had the worst, and individuals with only one-HbA1c or FPG-criterion had an intermediate position. Metabolic syndrome was present in 15.0% (95% confidence interval: 12.6-17.4), 59.5% (54.0-64.9), 62.0% (56.0-68.0), and 76.2% (72.8-79.6) of individuals classified in normoglycemia, isolated HbA1c, isolated FPG, and both criteria groups, respectively.In conclusion, individuals with prediabetes, especially those with both criteria, have worse cardiometabolic risk profile than normoglycemic individuals. These results suggest the need to use both criteria in the clinical practice to identify those individuals with the highest cardiovascular risk, in order to offer them special attention with intensive lifestyle intervention programs.
authors.affiliation: From the Department of Preventive Medicine and Public Health (History of Science), Universidad Complutense de Madrid (CG-G, ER), Instituto de Investigación Sanitaria del Hospital Clinico San Carlos (IdISSC), Madrid (CG-G, ER), Torrero-La Paz Health Center, Zaragoza (FJS, JMM), Department of Preventive Medicine and Quality Management, Hospital General Universitario Gregorio Marañón, Madrid (AD-R), Raval-Sud Primary Care Team, Barcelona (JF-N), Martín de Vargas Health Center, Madrid (RS), Tafalla Health Center, Navarra (JD), Azpilagaña Primary Care Team, Navarra (PB-C), Porriño Health Center, Pontevedra (JG-S), Hereza Health Center, Madrid (SA), Zumaia Health Center, Guipúzcua (PE), La Victoria de Acentejo Health Center, Santa Cruz de Tenerife (LC), Es Castell Basic Health Unit, Islas Baleares (MS), Yecla Health Center, Murcia (JM-C), Family and Community Medicine Teaching Unit, Cantabria (PM), Endocrinology and Nutrition Department, Del Mar Hospital, Barcelona (AG); and Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain (ER).
authors.forename: Carolina
authors.initials: C
authors.lastname: Giráldez-García
authors.forename: F Javier
authors.initials: FJ
authors.lastname: Sangrós
authors.forename: Alicia
authors.initials: A
authors.lastname: Díaz-Redondo
authors.forename: Josep
authors.initials: J
authors.lastname: Franch-Nadal
authors.forename: Rosario
authors.initials: R
authors.lastname: Serrano
authors.forename: Javier
authors.initials: J
authors.lastname: Díez
authors.forename: Pilar
authors.initials: P
authors.lastname: Buil-Cosiales
authors.forename: F Javier
authors.initials: FJ
authors.lastname: García-Soidán
authors.forename: Sara
authors.initials: S
authors.lastname: Artola
authors.forename: Patxi
authors.initials: P
authors.lastname: Ezkurra
authors.forename: Lourdes
authors.initials: L
authors.lastname: Carrillo
authors.forename: J Manuel
authors.initials: JM
authors.lastname: Millaruelo
authors.forename: Mateu
authors.initials: M
authors.lastname: Seguí
authors.forename: Juan
authors.initials: J
authors.lastname: Martínez-Candela
authors.forename: Pedro
authors.initials: P
authors.lastname: Muñoz
authors.forename: Albert
authors.initials: A
authors.lastname: Goday
authors.forename: Enrique
authors.initials: E
authors.lastname: Regidor
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000097:blood / Q000175:diagnosis* / Q000209:etiology; D003430:Cross-Sectional Studies; D003937:Diagnosis, Differential; D005215:Fasting / Q000097:blood*; D005260:Female; D005500:Follow-Up Studies; D006442:Glycated Hemoglobin / Q000378:metabolism*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011236:Prediabetic State / Q000097:blood / Q000150:complications*; D012307:Risk Factors
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin