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
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 (HbA1...
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| Veröffentlicht in: | Medicine (Baltimore) 2015-11, Vol.94 (44), p.e1935-e1935 |
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| creator | Giráldez-García, Carolina Sangrós, F Javier Díaz-Redondo, Alicia Franch-Nadal, Josep Serrano, Rosario Díez, Javier Buil-Cosiales, Pilar García-Soidán, F Javier Artola, Sara Ezkurra, Patxi Carrillo, Lourdes Millaruelo, J Manuel Seguí, Mateu Martínez-Candela, Juan Muñoz, Pedro Goday, Albert Regidor, Enrique |
| description | 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 |
| doi_str_mv | 10.1097/MD.0000000000001935 |
| format | Article |
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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.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000001935</identifier><identifier>PMID: 26554799</identifier><language>eng</language><publisher>United States: Lippincott, Williams & Wilkins. Wolters Kluwer Health</publisher><subject>Adult ; Aged ; Blood Glucose - metabolism ; Blood sugar ; Body Mass Index ; Cardiovascular diseases ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - etiology ; Case studies ; Cross-Sectional Studies ; Diagnosis, Differential ; Estudi de casos ; Factors de risc en les malalties ; Fasting - blood ; Female ; Follow-Up Studies ; Glucèmia ; Glycated Hemoglobin A - metabolism ; Humans ; Malalties cardiovasculars ; Male ; Middle Aged ; Observational Study ; Prediabetic State - blood ; Prediabetic State - complications ; Risk Factors ; Risk factors in diseases</subject><ispartof>Medicine (Baltimore), 2015-11, Vol.94 (44), p.e1935-e1935</ispartof><rights>cc-by (c) Giráldez-García, C. et al., 2015 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es">http://creativecommons.org/licenses/by/3.0/es</a></rights><rights>Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c282t-68cebb890715b7650f72762f204d2a77c14e94eb41ad4b851fdd5fe6e54209963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915900/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915900/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,26951,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26554799$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Giráldez-García, Carolina</creatorcontrib><creatorcontrib>Sangrós, F Javier</creatorcontrib><creatorcontrib>Díaz-Redondo, Alicia</creatorcontrib><creatorcontrib>Franch-Nadal, Josep</creatorcontrib><creatorcontrib>Serrano, Rosario</creatorcontrib><creatorcontrib>Díez, Javier</creatorcontrib><creatorcontrib>Buil-Cosiales, Pilar</creatorcontrib><creatorcontrib>García-Soidán, F Javier</creatorcontrib><creatorcontrib>Artola, Sara</creatorcontrib><creatorcontrib>Ezkurra, Patxi</creatorcontrib><creatorcontrib>Carrillo, Lourdes</creatorcontrib><creatorcontrib>Millaruelo, J Manuel</creatorcontrib><creatorcontrib>Seguí, Mateu</creatorcontrib><creatorcontrib>Martínez-Candela, Juan</creatorcontrib><creatorcontrib>Muñoz, Pedro</creatorcontrib><creatorcontrib>Goday, Albert</creatorcontrib><creatorcontrib>Regidor, Enrique</creatorcontrib><creatorcontrib>PREDAPS Study Group</creatorcontrib><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</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>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.</description><subject>Adult</subject><subject>Aged</subject><subject>Blood Glucose - metabolism</subject><subject>Blood sugar</subject><subject>Body Mass Index</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Case studies</subject><subject>Cross-Sectional Studies</subject><subject>Diagnosis, Differential</subject><subject>Estudi de casos</subject><subject>Factors de risc en les malalties</subject><subject>Fasting - blood</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Glucèmia</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Humans</subject><subject>Malalties cardiovasculars</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Observational Study</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - complications</subject><subject>Risk Factors</subject><subject>Risk factors in diseases</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>XX2</sourceid><recordid>eNpdkt9q2zAYxc3YWLtuTzAYuinsJqkk60_Ui0FI0rTQstB27FLI8udEm22lklzok-31pqxZ6CYQQuic33cEpyg-EjwmWMmzm_kYv1hElfxVcUx4KUZcCfa6OMaY8pFUkh0V72L8kTWlpOxtcUQF50wqdVz8mplQO99BMpVvnUW3Lv5Eq-Ab10JErkcrkxz0KaLvLm3QVbc1LkCNLkxMrl-jZTtYHwGZvj7zAV1C59etr7JxSiziY3mKkkdizE7P0eLR1dBbQE1WGrQMpt6h0dRan1NkWpbOnVn3PsMtmgWXIDhzju43gFa3i_l0dYfu0lA_vS_eNKaN8GF_nhTfLhb3s8vR9dfl1Wx6PbJ0QtNITCxU1URhSXglBceNpFLQhmJWUyOlJQwUg4oRU7NqwklT17wBAZxRrJQoT4ovz9ztUHVQ2xw3mFZvg-tMeNLeOP3vS-82eu0fNVOEK4wzgDwDbBysDmAhWJP-GA-X3aZYUk2FoJhnz-f90OAfBohJdy5aaFvTgx-iJrKkAmMhJ1la7vHBxxigOUQjWO9qom_m-v-aZNenl786eP72ovwNnWm4Lg</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Giráldez-García, Carolina</creator><creator>Sangrós, F Javier</creator><creator>Díaz-Redondo, Alicia</creator><creator>Franch-Nadal, Josep</creator><creator>Serrano, Rosario</creator><creator>Díez, Javier</creator><creator>Buil-Cosiales, Pilar</creator><creator>García-Soidán, F Javier</creator><creator>Artola, Sara</creator><creator>Ezkurra, Patxi</creator><creator>Carrillo, Lourdes</creator><creator>Millaruelo, J Manuel</creator><creator>Seguí, Mateu</creator><creator>Martínez-Candela, Juan</creator><creator>Muñoz, Pedro</creator><creator>Goday, Albert</creator><creator>Regidor, Enrique</creator><general>Lippincott, Williams & Wilkins. 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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.</abstract><cop>United States</cop><pub>Lippincott, Williams & Wilkins. Wolters Kluwer Health</pub><pmid>26554799</pmid><doi>10.1097/MD.0000000000001935</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Blood Glucose - metabolism Blood sugar Body Mass Index Cardiovascular diseases Cardiovascular Diseases - blood Cardiovascular Diseases - diagnosis Cardiovascular Diseases - etiology Case studies Cross-Sectional Studies Diagnosis, Differential Estudi de casos Factors de risc en les malalties Fasting - blood Female Follow-Up Studies Glucèmia Glycated Hemoglobin A - metabolism Humans Malalties cardiovasculars Male Middle Aged Observational Study Prediabetic State - blood Prediabetic State - complications Risk Factors Risk factors in diseases |
| 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 |
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