Cargando…

Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes

OBJECTIVE: To examine the change in fasting blood glucose (FBG) during repeated assessments over time and its potential impact on the risk of developing myocardial infarction (MI). RESEARCH DESIGN AND METHODS: This prospective cohort study included 68,297 participants without diabetes (mean age 49 y...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Cheng, Chen, Shuohua, Vaidya, Anand, Wu, Yuntao, Wu, Zhijun, Hu, Frank B., Kris-Etherton, Penny, Wu, Shouling, Gao, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652588/
https://www.ncbi.nlm.nih.gov/pubmed/28887409
http://dx.doi.org/10.2337/dc17-0610
_version_ 1783273086261395456
author Jin, Cheng
Chen, Shuohua
Vaidya, Anand
Wu, Yuntao
Wu, Zhijun
Hu, Frank B.
Kris-Etherton, Penny
Wu, Shouling
Gao, Xiang
author_facet Jin, Cheng
Chen, Shuohua
Vaidya, Anand
Wu, Yuntao
Wu, Zhijun
Hu, Frank B.
Kris-Etherton, Penny
Wu, Shouling
Gao, Xiang
author_sort Jin, Cheng
collection PubMed
description OBJECTIVE: To examine the change in fasting blood glucose (FBG) during repeated assessments over time and its potential impact on the risk of developing myocardial infarction (MI). RESEARCH DESIGN AND METHODS: This prospective cohort study included 68,297 participants without diabetes (mean age 49 years) who were free of MI, stroke, and cancer prior to or in 2010 (baseline of the current analysis). FBG concentrations were measured in 2006, 2008, and 2010. The FBG trajectories during 2006–2010, the primary exposure of the current study, were identified by latent mixture modeling. Incident MI cases were confirmed via review of medical records by cardiologists. RESULTS: We identified five discrete FBG trajectories according to FBG range and changing pattern over time: elevated-stable (n = 3,877), elevated-decreasing (n = 7,060), moderate-increasing (n = 10,298), moderate-stable (n = 40,352), and low-stable (n = 6,710). During 4 years of follow-up, we documented 283 incident MI cases. Relative to the moderate-stable pattern (FBG ranged from 4.9 to 5.1 mmol/L), adjusted hazard ratios (HRs) were 1.53 (95% CI 1.04, 2.26) for the elevated-stable pattern (FBG ranged from 6.1 to 6.3 mmol/L) and HR 0.61 (95% CI 0.38, 0.98) for the elevated-decreasing pattern (FBG decreased from 6.0 to 5.4 mmol/L), after adjustment for potential confounders such as age, sex, lifestyle factors, obesity, medical history, blood pressure, blood lipids, and C-reactive protein. Consistently, cumulative average and increasing rate of FBG during 2006–2010, but not a single baseline FBG, predicted future risk of MI. CONCLUSIONS: We found that discrete FBG trajectories were significantly associated with subsequent risk of MI in individuals without diabetes. These observations suggest that long-term trajectories of FBG may be important for risk prediction of MI and possibly other macrovascular diseases.
format Online
Article
Text
id pubmed-5652588
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher American Diabetes Association
record_format MEDLINE/PubMed
spelling pubmed-56525882018-11-01 Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes Jin, Cheng Chen, Shuohua Vaidya, Anand Wu, Yuntao Wu, Zhijun Hu, Frank B. Kris-Etherton, Penny Wu, Shouling Gao, Xiang Diabetes Care Cardiovascular and Metabolic Risk OBJECTIVE: To examine the change in fasting blood glucose (FBG) during repeated assessments over time and its potential impact on the risk of developing myocardial infarction (MI). RESEARCH DESIGN AND METHODS: This prospective cohort study included 68,297 participants without diabetes (mean age 49 years) who were free of MI, stroke, and cancer prior to or in 2010 (baseline of the current analysis). FBG concentrations were measured in 2006, 2008, and 2010. The FBG trajectories during 2006–2010, the primary exposure of the current study, were identified by latent mixture modeling. Incident MI cases were confirmed via review of medical records by cardiologists. RESULTS: We identified five discrete FBG trajectories according to FBG range and changing pattern over time: elevated-stable (n = 3,877), elevated-decreasing (n = 7,060), moderate-increasing (n = 10,298), moderate-stable (n = 40,352), and low-stable (n = 6,710). During 4 years of follow-up, we documented 283 incident MI cases. Relative to the moderate-stable pattern (FBG ranged from 4.9 to 5.1 mmol/L), adjusted hazard ratios (HRs) were 1.53 (95% CI 1.04, 2.26) for the elevated-stable pattern (FBG ranged from 6.1 to 6.3 mmol/L) and HR 0.61 (95% CI 0.38, 0.98) for the elevated-decreasing pattern (FBG decreased from 6.0 to 5.4 mmol/L), after adjustment for potential confounders such as age, sex, lifestyle factors, obesity, medical history, blood pressure, blood lipids, and C-reactive protein. Consistently, cumulative average and increasing rate of FBG during 2006–2010, but not a single baseline FBG, predicted future risk of MI. CONCLUSIONS: We found that discrete FBG trajectories were significantly associated with subsequent risk of MI in individuals without diabetes. These observations suggest that long-term trajectories of FBG may be important for risk prediction of MI and possibly other macrovascular diseases. American Diabetes Association 2017-11 2017-09-08 /pmc/articles/PMC5652588/ /pubmed/28887409 http://dx.doi.org/10.2337/dc17-0610 Text en © 2017 by the American Diabetes Association. http://www.diabetesjournals.org/content/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.
spellingShingle Cardiovascular and Metabolic Risk
Jin, Cheng
Chen, Shuohua
Vaidya, Anand
Wu, Yuntao
Wu, Zhijun
Hu, Frank B.
Kris-Etherton, Penny
Wu, Shouling
Gao, Xiang
Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title_full Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title_fullStr Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title_full_unstemmed Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title_short Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes
title_sort longitudinal change in fasting blood glucose and myocardial infarction risk in a population without diabetes
topic Cardiovascular and Metabolic Risk
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652588/
https://www.ncbi.nlm.nih.gov/pubmed/28887409
http://dx.doi.org/10.2337/dc17-0610
work_keys_str_mv AT jincheng longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT chenshuohua longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT vaidyaanand longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT wuyuntao longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT wuzhijun longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT hufrankb longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT krisethertonpenny longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT wushouling longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes
AT gaoxiang longitudinalchangeinfastingbloodglucoseandmyocardialinfarctionriskinapopulationwithoutdiabetes