scholarly journals A comparison of follow-up rates of women with gestational diabetes before and after the updated National Institute for Health and Care Excellence guidance advocating routine follow-up, and the association with neighbourhood deprivation

2019 ◽  
Vol 19 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Sebastian Walsh ◽  
Mahmoud Mahmoud ◽  
Htwe Htun ◽  
Sheena Hodgett ◽  
David Barton
Keyword(s):  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Fasting Glucose ◽  
Neighbourhood Deprivation ◽  
Small Areas ◽  
Significant Difference ◽  
Before And After ◽  
Nice Guidance

Background: Gestational diabetes mellitus (GDM) occurs in one in every 23 UK pregnancies. GDM identifies the mother as high-risk for development of type 2 diabetes. The National Institute for Health and Care Excellence (NICE) published updated guidance in February 2015 recommending routine follow-up of women with GDM.Aims: This cohort study compared follow-up rates of women with GDM before and after the updated guidance. We also investigated for an association between follow-up rates and deprivation.Methods: Participants were identified from the database of the GDM service of two English hospitals and were organised into two cohorts: ‘pre-guidance’ (2012–2015) and ‘post-guidance’ (2015–2016). Using the recommendations of the NICE guidance as the follow-up standard, we used the hospitals’ computer system to compare follow-up rates of the two cohorts. The English Indices of Deprivation split the country into 32,844 small areas and rank them in order of deprivation such that 1 is the most deprived area and 32,844 is the least deprived. We compared the patients’ postcodes against the English Indices of Deprivation to investigate the relative levels of neighbourhood deprivation of those followed up compared with those not followed up. The Z statistic was used to test for statistical significance.Results: 535 participants were included (pre-guidance n=306, post-guidance n=229). Baseline average age (pre-guidance 32.2 years, post-guidance 32.5 years), body mass index (30.7 kg/m2, 30.9 kg/m2) and fasting glucose (4.9 mmol/L, 4.8 mmol/L) were all comparable between cohorts. The follow-up rate improved from 60.5% in the pre-guidance group to 69.9% in the post-guidance group. The median deprivation rank of those followed up was 14,565 compared with 13,393 in those not followed up. This difference was not found to be significant.Conclusion: A higher proportion of women with GDM were followed up with screening for type 2 diabetes after the updated NICE guidance in 2015 recommended routine follow-up. Across the study, over a third of women were not followed up. There was no statistically significant difference in the deprivation levels of those women followed up compared with those not followed up.

scholarly journals Type 1 and type 2 diabetes after gestational diabetes: a 23 year cohort study

Diabetologia ◽  
2020 ◽  
Vol 63 (10) ◽  
pp. 2123-2128 ◽  
Author(s):  
Anna-Maaria Auvinen ◽  
Kaisu Luiro ◽  
Jari Jokelainen ◽  
Ilkka Järvelä ◽  
Mikael Knip ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Cohort Study ◽  
Gestational Diabetes ◽  
Fasting Glucose ◽  
University Hospital ◽  
Characteristic Analysis

Abstract Aims/hypothesis The aim of this work was to examine the progression to type 1 and type 2 diabetes after gestational diabetes mellitus (GDM) in a 23 year follow-up study. Methods We carried out a cohort study of 391 women with GDM diagnosed by an OGTT or the use of insulin treatment during pregnancy, and 391 age- and parity-matched control participants, who delivered in 1984–1994 at the Oulu University Hospital, Finland. Diagnostic cut-off levels for glucose were as follows: fasting, ≥4.8 mmol/l; 1 h, ≥10.0 mmol/l; and 2 h, ≥8.7 mmol/l. Two follow-up questionnaires were sent (in 1995–1996 and 2012–2013) to assess the progression to type 1 and type 2 diabetes. Mean follow-up time was 23.1 (range 18.7–28.8) years. Results Type 1 diabetes developed (5.7%) during the first 7 years after GDM pregnancy and was predictable at a 2 h OGTT value of 11.9 mmol/l during pregnancy (receiver operating characteristic analysis: AUC 0.91, sensitivity 76.5%, specificity 96.0%). Type 2 diabetes increased linearly to 50.4% by the end of the follow-up period and was moderately predictable with fasting glucose (AUC 0.69, sensitivity 63.5%, specificity 68.2%) at a level of 5.1 mmol/l (identical to the fasting glucose cut-off recommended by the International Association of Diabetes and Pregnancy Study Groups [IADPSG) and WHO]). Conclusions/interpretation All women with GDM should be intensively monitored for a decade, after which the risk for type 1 diabetes is minimal. However, the incidence of type 2 diabetes remains linear, and therefore individualised lifelong follow-up is recommended.

scholarly journals Association of biological antirheumatic therapy with risk for type 2 diabetes: a retrospective cohort study in incident rheumatoid arthritis

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e042246
Author(s):  
Sanjoy K Paul ◽  
Olga Montvida ◽  
Jennie H Best ◽  
Sara Gale ◽  
Attila Pethö-Schramm ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Type 2 Diabetes ◽  
T Cell ◽  
Disease Modifying Antirheumatic Drugs ◽  
Antirheumatic Therapy ◽  
Treatment Groups ◽  
Significant Difference ◽  
Necrosis Factor

ObjectiveTo explore possible associations of treatment with biological disease-modifying antirheumatic drugs (bDMARDs), including T-cell-based and interleukin-6 inhibition (IL-6i)-based therapies, and the risk for type 2 diabetes mellitus (T2DM) in patients with rheumatoid arthritis (RA).Study design, setting and participantsFive treatment groups were selected from a United States Electronic Medical Records database of 283 756 patients with RA (mean follow-up, 5 years): never received bDMARD (No bDMARD, n=125 337), tumour necrosis factor inhibitors (TNFi, n=34 873), IL-6i (n=1884), T-cell inhibitors (n=5935) and IL-6i+T cell inhibitor abatacept (n=1213). Probability and risk for T2DM were estimated with adjustment for relevant confounders.ResultsIn the cohort of 169 242 patients with a mean 4.5 years of follow-up and a mean 641 200 person years of follow-up, the adjusted probability of developing T2DM was significantly lower in the IL-6i (probability, 1%; 95% CI 0.6 to 2.0), T-cell inhibitor (probability, 3%; 95% CI 2.3 to 3.3) and IL-6i+T cell inhibitor (probability, 2%; 95% CI 0.1 to 2.9) groups than in the No bDMARD (probability, 5%; 95% CI 4.6 to 4.9) and TNFi (probability, 4%; 95% CI 3.7 to 4.7) groups. Compared with No bDMARD, the IL-6i and IL-6i+T cell inhibitor groups had 37% (95% CI of HR 0.42 to 0.96) and 34% (95% CI of HR 0.46 to 0.93) significantly lower risk for T2DM, respectively; there was no significant difference in risk in the TNFi (HR 0.99; 95% CI 0.93 to 1.06) and T-cell inhibitor (HR 0.96; 95% CI 0.82 to 1.12) groups.ConclusionsTreatment with IL-6i, with or without T-cell inhibitors, was associated with reduced risk for T2DM compared with TNFi or No bDMARDs; a less pronounced association was observed for the T-cell inhibitor abatacept.

scholarly journals 1118 Characteristics of patients with gestational diabetes that follow up postpartum for type 2 diabetes testing

2021 ◽  
Vol 224 (2) ◽  
pp. S688-S689
Author(s):  
Nora Miles ◽  
Lauren Pavlik ◽  
Vishmaya Saravanan ◽  
Rachel Harrison ◽  
Anna Palatnik ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gestational Diabetes

scholarly journals Association of Alcohol Drinking With Incident Type 2 Diabetes and Pre-diabetes: the Guangzhou Biobank Cohort Study

2021 ◽  
Author(s):  
Mei Jiao Li ◽  
Jing Ren ◽  
Wei Sen Zhang ◽  
Chao Qiang Jiang ◽  
Ya Li Jin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Polymorphisms ◽  
Impaired Fasting Glucose ◽  
Alcohol Drinking ◽  
Fasting Glucose ◽  
Heavy Alcohol ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Abstract Background To examine associations of baseline alcohol drinking with incident type 2 diabetes or impaired fasting glucose, and explore whether the associations were modified by genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) and alcohol dehydrogenase-1B (ADH1B).Methods Information of alcohol consumption was collected at baseline from 2003 to 2008. Incident type 2 diabetes was defined as fasting glucose ≥7.0 mmol/l or post-load glucose ≥11.1 mmol/l at follow-up examination (2008-2012), self-reported type 2 diabetes and/or initiation of hypoglycemia medication or insulin during follow-up. Impaired fasting glucose was defined as fasting glucose ≥5.6 mmol/l and <7 mmol/l. Results Of 15,716 participants without diabetes and 11,232 participants without diabetes and impaired fasting glucose at baseline, 1,624 (10.33%) developed incident type 2 diabetes, and 1,004 (8.94%) developed incident impaired fasting glucose during average 4 years of follow-up. After adjusting for sex, age, education, occupation, personal annual income, smoking, physical activity, body mass index, waist/hip ratio, health status, family history of diabetes, compared with never drinking, occasional or moderate alcohol drinking was not associated with risk of incident type 2 diabetes+impaired fasting glucose (odds ratio (OR) 1.08, 95% confidence interval (CI) 0.94-1.25, and 0.89 (0.68-1.16), respectively), but heavy alcohol drinking was associated with a higher risk of incident type 2 diabetes+impaired fasting glucose (1.83, 1.25-2.69). No interactions of sex, overweight/obesity and genetic polymorphisms of ADH1B or ALDH2 genes with alcohol drinking on incident type 2 diabetes and/or impaired fasting glucose were found (p for interaction from 0.12 to 0.81). Conclusions Our results support a detrimental effect of heavy alcohol use on impaired fasting glucose and type 2 diabetes. No protective effect was found for those carrying lower risk alleles for ADH1B and ALDH2 genes.

scholarly journals Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts

Diabetologia ◽  
2019 ◽  
Vol 62 (12) ◽  
pp. 2298-2309 ◽  
Author(s):  
Ari V. Ahola-Olli ◽  
Linda Mustelin ◽  
Maria Kalimeri ◽  
Johannes Kettunen ◽  
Jari Jokelainen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Young Adults ◽  
Fasting Glucose ◽  
Diabetes Risk ◽  
Increased Risk ◽  
Metabolic Biomarkers ◽  
Incident Cases ◽  
Future Diabetes

Abstract Aims/hypothesis Metabolomics technologies have identified numerous blood biomarkers for type 2 diabetes risk in case−control studies of middle-aged and older individuals. We aimed to validate existing and identify novel metabolic biomarkers predictive of future diabetes in large cohorts of young adults. Methods NMR metabolomics was used to quantify 229 circulating metabolic measures in 11,896 individuals from four Finnish observational cohorts (baseline age 24–45 years). Associations between baseline metabolites and risk of developing diabetes during 8–15 years of follow-up (392 incident cases) were adjusted for sex, age, BMI and fasting glucose. Prospective metabolite associations were also tested with fasting glucose, 2 h glucose and HOMA-IR at follow-up. Results Out of 229 metabolic measures, 113 were associated with incident type 2 diabetes in meta-analysis of the four cohorts (ORs per 1 SD: 0.59–1.50; p< 0.0009). Among the strongest biomarkers of diabetes risk were branched-chain and aromatic amino acids (OR 1.31–1.33) and triacylglycerol within VLDL particles (OR 1.33–1.50), as well as linoleic n-6 fatty acid (OR 0.75) and non-esterified cholesterol in large HDL particles (OR 0.59). The metabolic biomarkers were more strongly associated with deterioration in post-load glucose and insulin resistance than with future fasting hyperglycaemia. A multi-metabolite score comprised of phenylalanine, non-esterified cholesterol in large HDL and the ratio of cholesteryl ester to total lipid in large VLDL was associated with future diabetes risk (OR 10.1 comparing individuals in upper vs lower fifth of the multi-metabolite score) in one of the cohorts (mean age 31 years). Conclusions/interpretation Metabolic biomarkers across multiple molecular pathways are already predictive of the long-term risk of diabetes in young adults. Comprehensive metabolic profiling may help to target preventive interventions for young asymptomatic individuals at increased risk.

scholarly journals Cardiac resynchronization therapy and its effects in patients with type 2 DIAbetes mellitus OPTimized in automatic vs. echo guided approach. Data from the DIA-OPTA investigators

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Celestino Sardu ◽  
Pasquale Paolisso ◽  
Valentino Ducceschi ◽  
Matteo Santamaria ◽  
Cosimo Sacra ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Cox Regression Analysis ◽  
Significant Difference

Abstract Objectives To evaluate the effects of cardiac resynchronization therapy (CRTd) in patients with type 2 diabetes mellitus (T2DM) optimized via automatic vs. echocardiography-guided approach. Background The suboptimal atrio-ventricular (AV) and inter-ventricular (VV) delays optimization reduces CRTd response. Therefore, we hypothesized that automatic CRTd optimization might improve clinical outcomes in T2DM patients. Methods We designed a prospective, multicenter study to recruit, from October 2016 to June 2019, 191 consecutive failing heart patients with T2DM, and candidate to receive a CRTd. Study outcomes were CRTd responders rate, hospitalizations for heart failure (HF) worsening, cardiac deaths and all cause of deaths in T2DM patients treated with CRTd and randomly optimized via automatic (n 93) vs. echocardiography-guided (n 98) approach at 12 months of follow-up. Results We had a significant difference in the rate of CRTd responders (68 (73.1%) vs. 58 (59.2%), p 0.038), and hospitalizations for HF worsening (12 (16.1%) vs. 22 (22.4%), p 0.030) in automatic vs. echocardiography-guided group of patients. At multivariate Cox regression analysis, the automatic guided approach (3.636 [1.271–10.399], CI 95%, p 0.016) and baseline highest values of atrium pressure (automatic SonR values, 2.863 [1.537–6.231], CI 95%, p 0.006) predicted rate of CRTd responders. In automatic group, we had significant difference in SonR values comparing the rate of CRTd responders vs. non responders (1.24 ± 0.72 g vs. 0.58 ± 0.46 g (follow-up), p 0.001), the rate of hospitalizations for HF worsening events (0.48 ± 0.29 g vs. 1.18 ± 0.43 g, p 0.001), and the rate of cardiac deaths ( 1.13 ± 0.72 g vs. 0.65 ± 0.69 g, p 0.047). Conclusions Automatic optimization increased CRTd responders rate, and reduced hospitalizations for HF worsening. Intriguingly, automatic CRTd and highest baseline values of SonR could be predictive of CRTd responders. Notably, there was a significant difference in SonR values for CRTd responders vs. non responders, and about hospitalizations for HF worsening and cardiac deaths. Clinical trial ClinicalTrials.gov Identifier NCT04547244.

scholarly journals Can the Onset of Type 2 Diabetes Be Delayed by a Group-Based Lifestyle Intervention in Women with Prediabetes following Gestational Diabetes Mellitus (GDM)? Findings from a Randomized Control Mixed Methods Trial

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Angela O’Dea ◽  
Marie Tierney ◽  
Brian E. McGuire ◽  
John Newell ◽  
Liam G. Glynn ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Gestational Diabetes ◽  
Lifestyle Intervention ◽  
Intervention Group ◽  
Outcome Variable ◽  
Control Group ◽  
One Year

Objective. To evaluate a 12-week group-based lifestyle intervention programme for women with prediabetes following gestational diabetes (GDM).Design. A two-group, mixed methods randomized controlled trial in which 50 women with a history of GDM and abnormal glucose tolerance postpartum were randomly assigned to intervention (n=24) or wait control (n=26) and postintervention qualitative interviews with participants.Main Outcome Measures. Modifiable biochemical, anthropometric, behavioural, and psychosocial risk factors associated with the development of type 2 diabetes. The primary outcome variable was the change in fasting plasma glucose (FPG) from study entry to one-year follow-up.Results. At one-year follow-up, the intervention group showed significant improvements over the wait control group on stress, diet self-efficacy, and quality of life. There was no evidence of an effect of the intervention on measures of biochemistry or anthropometry; the effect on one health behaviour, diet adherence, was close to significance.Conclusions. Prevention programmes must tackle the barriers to participation faced by this population; home-based interventions should be investigated. Strategies for promoting long-term health self-management need to be developed and tested.

scholarly journals Motivational Interviewing to Improve Self-efficacy in Type 2 Diabetes Management

2020 ◽  
Author(s):  
Masumeh Hemmati Maslakpak ◽  
Naser Parizad ◽  
Amir Ghahremani ◽  
Vahid Alinejad
Keyword(s):  
Type 2 Diabetes ◽  
Motivational Interviewing ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Intervention Group ◽  
Significant Difference ◽  
Before And After ◽  
Quasi Experimental ◽  
The Mean

Abstract Background Self-efficacy predicts adherence to treatment in patients with diabetes. Motivational interviewing could be a promising intervention to increase the patients’ motivation to follow therapeutic recommendations. The present study aimed to assess the effects of motivational interviewing on self-efficacy in type 2 diabetes management. Methods This quasi-experimental study with a pretest-posttest design was conducted on 60 patients with type 2 diabetes, who were members of the Bukan Diabetes Association in Iran. The patients were selected using a random number table and were randomly allocated into intervention (n = 30) and control (n = 30) groups. Five motivational interviewing sessions (30–45 minutes) were held for the intervention group (two sessions per week). Data were collected using a demographic questionnaire and the diabetes management self-efficacy scale (DMSES). Data were analyzed with SPSS software version 14.0 using descriptive and inferential statistics. Results Sixty patients entered the analysis. A significant difference was observed in the mean score of diabetes management self-efficacy between the two groups before and after the intervention (P = 0.014). The mean score of self-efficacy in diabetes management was increased significantly in the intervention group after MI (P = 0.001). Conclusions Motivational interviewing improved self-efficacy in diabetes management. Thus, this approach is recommended to be used in patients with type 2 diabetes in order to increase their self-efficacy.

Sign in / Sign up

Export Citation Format

Share Document