For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
18
views
24
references
 Top references
cited by
30
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      174
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The effect of change in fasting glucose on the risk of myocardial infarction, stroke, and all-cause mortality: a nationwide cohort study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The effect of change in blood glucose levels on the risk of cardiovascular disease among individuals without diabetes is currently unclear. We aimed to examine the association of change in fasting serum glucose with incident cardiovascular disease and all-cause mortality among representative large population.

          Methods

          We analyzed the data from retrospective cohort of Korean National Health Insurance Service. In total, 260,487 Korean adults aged over 40 years, without diabetes mellitus and cardiovascular disease at baseline measured change in fasting serum glucose according to the criteria of impaired and diabetic fasting glucose status: normal fasting glucose (NFG, fasting glucose: < 100 mg/dL), impaired fasting glucose (IFG, fasting glucose: 100.0–125.9 mg/dL), and diabetic fasting glucose (DFG, fasting glucose: ≥ 126.0 mg/dL). Compared to the persistently unchanged group (i.e. NFG to NFG or IFG to IFG), Cox proportional hazards regression analyses were performed in the changed group to obtain the hazards ratio (HR) with 95% confidence interval (CI) for the subsequent median 8-year myocardial infarction, stroke, and all-cause mortality.

          Results

          Compared to individuals with persistent NFG (i.e., NFG to NFG), individuals who shifted from NFG to DFG had an increased risk of stroke (HR [95% CI]: 1.19 [1.02–1.38]) and individuals who shifted from NFG to IFG or DFG had increased risks of all-cause mortality (HR [95% CI]: 1.08 [1.02–1.14] for NFG to IFG and 1.56 [1.39–1.75] for NFG to DFG). Compared to individuals with persistent IFG, individuals who shifted from IFG to DFG had an increased risk of MI and all-cause mortality (HR [95% CI]: 1.65 [1.20–2.27] and 1.16 [1.02–1.33], respectively).

          Conclusions

          Increasing fasting glucose in non-diabetic population is associated with risks of the MI, stroke, and all-cause mortality, which is more rapid, more severe.

          Electronic supplementary material

          The online version of this article (10.1186/s12933-018-0694-z) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Cohort profile: the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) in Korea

          Sang Cheol Seong, Yeon-Yong Kim, Sue K. Park … (2017)
          Purpose The National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) is a cohort of participants who participated in health screening programmes provided by the NHIS in the Republic of Korea. The NHIS constructed the NHIS-HEALS cohort database in 2015. The purpose of this cohort is to offer relevant and useful data for health researchers, especially in the field of non-communicable diseases and health risk factors, and policy-maker. Participants To construct the NHIS-HEALS database, a sample cohort was first selected from the 2002 and 2003 health screening participants, who were aged between 40 and 79 in 2002 and followed up through 2013. This cohort included 514 866 health screening participants who comprised a random selection of 10% of all health screening participants in 2002 and 2003. Findings to date The age-standardised prevalence of anaemia, diabetes mellitus, hypertension, obesity, hypercholesterolaemia and abnormal urine protein were 9.8%, 8.2%, 35.6%, 2.7%, 14.2% and 2.0%, respectively. The age-standardised mortality rate for the first 2 years (through 2004) was 442.0 per 100 000 person-years, while the rate for 10 years (through 2012) was 865.9 per 100 000 person-years. The most common cause of death was malignant neoplasm in both sexes (364.1 per 100 000 person-years for men, 128.3 per 100 000 person-years for women). Future plans This database can be used to study the risk factors of non-communicable diseases and dental health problems, which are important health issues that have not yet been fully investigated. The cohort will be maintained and continuously updated by the NHIS.
          Article 0 comments Cited 341 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mortality and causes of death in the WHO Multinational Study of Vascular Disease in Diabetes.

            N. Morrish, S.-L. Wang, L Stevens … (2001)
            We aimed to examine the mortality rates, excess mortality and causes of death in diabetic patients from ten centres throughout the world. A mortality follow-up of 4713 WHO Multinational Study of Vascular Disease in Diabetes (WHO MSVDD) participants from ten centres was carried out, causes of death were ascertained and age-adjusted mortality rates were calculated by centre, sex and type of diabetes. Excess mortality, compared with the background population, was assessed in terms of standardised mortality ratios (SMRs) for each of the 10 cohorts. Cardiovascular disease was the most common underlying cause of death, accounting for 44 % of deaths in Type I (insulin-dependent) diabetes mellitus and 52 % of deaths in Type II (non-insulin-dependent) diabetes mellitus. Renal disease accounted for 21% of deaths in Type I diabetes and 11% in Type II diabetes. For Type I diabetes, all-cause mortality rates were highest in Berlin men and Warsaw women, and lowest in London men and Zagreb women. For Type II diabetes, rates were highest in Warsaw men and Oklahoma women and lowest in Tokyo men and women. Age adjusted mortality rates and SMRs were generally higher in patients with Type I diabetes compared with those with Type II diabetes. Men and women in the Tokyo cohort had a very low excess mortality when compared with the background population. This study confirms the importance of cardiovascular disease as the major cause of death in people with both types of diabetes. The low excess mortality in the Japanese cohort could have implications for the possible reduction of the burden of mortality associated with diabetes in other parts of the world.
            Article 0 comments Cited 325 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Glucose tolerance and cardiovascular mortality: comparison of fasting and 2-hour diagnostic criteria.

              (2001)
              New diagnostic criteria for diabetes based on fasting blood glucose (FBG) level were approved by the American Diabetes Association. The impact of using FBG only has not been evaluated thoroughly. The fasting and the 2-hour glucose (2h-BG) criteria were compared with regard to the prediction of mortality. Existing baseline data on glucose level at fasting and 2 hours after a 75-g oral glucose tolerance test from 10 prospective European cohort studies including 15 388 men and 7126 women aged 30 to 89 years, with a median follow-up of 8.8 years, were analyzed. Hazards ratios for death from all causes, cardiovascular disease, coronary heart disease, and stroke were estimated. Multivariate Cox regression analyses showed that the inclusion of FBG did not add significant information on the prediction of 2h-BG alone (P>.10 for various causes), whereas the addition of 2h-BG to FBG criteria significantly improved the prediction (P<.001 for all causes and P<.005 for cardiovascular disease). In a model including FBG and 2h-BG simultaneously, hazards ratios (95% confidence intervals) in subjects with diabetes on 2h-BG were 1.73 (1.45-2.06) for all causes, 1.40 (1.02-1.92) for cardiovascular disease, 1.56 (1.03-2.36) for coronary heart disease, and 1.29 (0.66-2.54) for stroke mortality, compared with the normal 2h-BG group. Compared with the normal FBG group, the corresponding hazards ratios in subjects with diabetes on FBG were 1.21 (1.01-1.44), 1.20 (0.88-1.64), 1.09 (0.71-1.67), and 1.64 (0.88-3.07), respectively. The largest number of excess deaths was observed in subjects who had impaired glucose tolerance but normal FBG levels. The 2h-BG is a better predictor of deaths from all causes and cardiovascular disease than is FBG.
              Article 0 comments Cited 245 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Sang Min Park: +82-2-2072-3331 , smpark.snuh@gmail.com
                Journal
                Journal ID (nlm-ta): Cardiovasc Diabetol
                Journal ID (iso-abbrev): Cardiovasc Diabetol
                Title: Cardiovascular Diabetology
                Publisher: BioMed Central (London )
                ISSN (Electronic): 1475-2840
                Publication date (Electronic): 7 April 2018
                Publication date PMC-release: 7 April 2018
                Publication date Collection: 2018
                Volume: 17
                Electronic Location Identifier: 51
                Affiliations
                [1 ]ISNI 0000 0004 0647 4960, GRID grid.411651.6, Department of Family Medicine, Health Promotion Center, , Chung-Ang University Hospital, ; Seoul, South Korea
                [2 ]ISNI 0000 0004 0470 5905, GRID grid.31501.36, Clinical Medical Sciences, College of Medicine, , Seoul National University, ; Seoul, South Korea
                [3 ]ISNI 0000 0001 0302 820X, GRID grid.412484.f, Department of Family Medicine, , Seoul National University Hospital, ; Seoul, South Korea
                Article
                Publisher ID: 694
                DOI: 10.1186/s12933-018-0694-z
                PMC ID: 5889526
                PubMed ID: 29626936
                SO-VID: b6a7e252-019e-4159-9815-f9352280d83e
                Copyright © © The Author(s) 2018
                License:

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                Date received : 7 December 2017
                Date accepted : 28 March 2018
                Categories
                Subject: Original Investigation
                Custom metadata
                issue-copyright-statement © The Author(s) 2018

                ScienceOpen disciplines: Endocrinology & Diabetes
                Keywords: prediabetes,blood glucose,myocardial infarction,stroke,mortality
                Data availability:
                ScienceOpen disciplines: Endocrinology & Diabetes
                Keywords: prediabetes, blood glucose, myocardial infarction, stroke, mortality

                Comments

                Comment on this article

                scite_

                Similar content174

                See all similar

                Cited by30

                See all cited by

                Most referenced authors917

                See all reference authors