21
views
0
recommends
+1 Recommend
2 collections
    0
    shares

          The flagship journal of the Society for Endocrinology. Learn more

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

      Metabolic disorders during pregnancy and postpartum cardiometabolic risk

      editorial

      Read this article at

      ScienceOpenPublisherPMC
          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

          Hormonal changes during pregnancy can trigger gestational diabetes (GDM), which is constantly increasing. Its main characteristic is pronounced insulin resistance, but it appears to be a multifactorial process involving several metabolic factors; taken together, the latter leads to silent or clinically evident cardiovascular (CV) events. Insulin resistance and central adiposity are of crucial importance in the development of metabolic syndrome, and they appear to correlate with CV risk factors, including hypertension and atherogenic dyslipidaemia. Hypertensive disease of pregnancy (HDP) is more likely to be an accompanying co-morbidity in pregnancies complicated with GDM. There is still inconsistent evidence as to whether or not co-existent GDM and HDP have a synergistic effects on postpartum risk of cardiometabolic disease; however, this synergism is becoming more accepted since both these conditions may promote endothelial inflammation and early atherosclerosis. Regardless of the presence or absence of the synergism between GDM and HDP, these conditions need to be dealt early enough, in order to reduce CV morbidity and to improve health outcomes for both women and their offspring.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

          Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P<0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non-laboratory-based predictors. A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care.
            • Record: found
            • Abstract: found
            • Article: not found

            Type 2 diabetes across generations: from pathophysiology to prevention and management.

            Type 2 diabetes is now a pandemic and shows no signs of abatement. In this Seminar we review the pathophysiology of this disorder, with particular attention to epidemiology, genetics, epigenetics, and molecular cell biology. Evidence is emerging that a substantial part of diabetes susceptibility is acquired early in life, probably owing to fetal or neonatal programming via epigenetic phenomena. Maternal and early childhood health might, therefore, be crucial to the development of effective prevention strategies. Diabetes develops because of inadequate islet β-cell and adipose-tissue responses to chronic fuel excess, which results in so-called nutrient spillover, insulin resistance, and metabolic stress. The latter damages multiple organs. Insulin resistance, while forcing β cells to work harder, might also have an important defensive role against nutrient-related toxic effects in tissues such as the heart. Reversal of overnutrition, healing of the β cells, and lessening of adipose tissue defects should be treatment priorities. Copyright © 2011 Elsevier Ltd. All rights reserved.
              • Record: found
              • Abstract: found
              • Article: not found

              Epidemiology of gestational diabetes mellitus and its association with Type 2 diabetes.

              Gestational diabetes (GDM) is defined as carbohydrate intolerance that begins or is first recognized during pregnancy. Although it is a well-known cause of pregnancy complications, its epidemiology has not been studied systematically. Our aim was to review the recent data on the epidemiology of GDM, and to describe the close relationship of GDM to prediabetic states, in addition to the risk of future deterioration in insulin resistance and development of overt Type 2 diabetes. We found that differences in screening programmes and diagnostic criteria make it difficult to compare frequencies of GDM among various populations. Nevertheless, ethnicity has been proven to be an independent risk factor for GDM, which varies in prevalence in direct proportion to the prevalence of Type 2 diabetes in a given population or ethnic group. There are several identifiable predisposing factors for GDM, and in the absence of risk factors, the incidence of GDM is low. Therefore, some authors suggest that selective screening may be cost-effective. Importantly, women with an early diagnosis of GDM, in the first half of pregnancy, represent a high-risk subgroup, with an increased incidence of obstetric complications, recurrent GDM in subsequent pregnancies, and future development of Type 2 diabetes. Other factors that place women with GDM at increased risk of Type 2 diabetes are obesity and need for insulin for glycaemic control. Furthermore, hypertensive disorders in pregnancy and afterwards may be more prevalent in women with GDM. We conclude that the epidemiological data suggest an association between several high-risk prediabetic states, GDM, and Type 2 diabetes. Insulin resistance is suggested as a pathogenic linkage. It is possible that improving insulin sensitivity with diet, exercise and drugs such as metformin may reduce the risk of diabetes in individuals at high risk, such as women with polycystic ovary syndrome, impaired glucose tolerance, and a history of GDM. Large controlled studies are needed to clarify this issue and to develop appropriate diabetic prevention strategies that address the potentially modifiable risk factors.

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                May 2018
                30 April 2018
                : 7
                : 5
                : E1-E4
                Affiliations
                [1 ]Department of Internal Medicine and Medical Specialties University of Palermo, Palermo, Italy
                [2 ]Diabetes Centre Second Department of Internal Medicine, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
                Author notes
                Correspondence should be addressed to A M Patti: pattiangelomaria@ 123456gmail.com
                Article
                EC180130
                10.1530/EC-18-0130
                5970277
                29712720
                a195009e-a198-4db0-945b-8d64770364a6
                © 2018 The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 23 April 2018
                : 30 April 2018
                Categories
                Editorial

                cardiovascular risk,gestational diabetes,hypertension,metabolic syndrome

                Comments

                Comment on this article

                Related Documents Log