Diabetes, Obesity & Metabolism最新文献

Aim: To investigate the extent to which joint risk factor control might attenuate the excess risk of chronic kidney disease (CKD) in participants with obesity.

Patients and methods: We included a total of 97 538 participants who were obese at baseline and matched 97 538 normal weight control participants from the UK Biobank in the analysis. The degree of joint risk factor control was assessed based on six major CKD risk factors, including blood pressure, glycated haemoglobin, low-density lipoprotein cholesterol, albuminuria, smoking and physical activity. The Cox proportional hazards models were used to estimate associations between the degree of risk factor control and risk of CKD, following participants from their baseline assessment until the occurrence of CKD, death, or the end of the follow-up period.

Results: Among participants with obesity, joint risk factor control showed an association with a stepwise reduction of incident CKD risk. Each additional risk factor control corresponded to an 11% (hazard ratio: 0.89; 95% confidence interval: 0.86-0.91) reduced risk of CKD among participants with obesity, with the optimal controlling of all six risk factors associated with a 49% (hazard ratio: 0.51; 95% confidence interval: 0.43-0.61) decrease in risk of CKD. Furthermore, in individuals with obesity who jointly controlled all six risk factors, the excess risk of CKD associated with obesity was effectively neutralized compared with normal weight control subjects. Notably, the protective correlations between the degree of joint risk factor control and the incidence of CKD were more pronounced in men compared with women, in individuals with a lower healthy food score versus a higher score, and among diabetes medication users as opposed to non-users (p_interaction = 0.017, 0.033 and 0.014, respectively).

Conclusion: The joint risk factor control is associated with an inverse association of CKD risk in an accumulative manner among individuals with obesity. Achieving ideal control over risk factors may effectively counterbalance the excessive risk of CKD typically associated with obesity.

Aim: To assess the association of Life's Essential 8 (LE8) and the presence of abdominal aortic calcification (AAC) with mortality among middle-aged and older individuals.

Methods: Participants aged older than 40 years were enrolled from the National Health and Nutrition Examination Survey 2013-2014. AAC was assessed using dual-energy X-ray absorptiometry. Mortality data were ascertained through linkage with the National Death Index until 31 December 2019. The LE8 score incorporates eight components: diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose and blood pressure. The total LE8 score, an unweighted average of all components, was categorized into low (0-49), medium (50-79) and high (80-100) scores.

Results: This study included 2567 individuals, with a mean LE8 score of 67.28 ± 0.48 and an AAC prevalence of 28.28%. Participants with low LE8 scores showed a significantly higher prevalence of AAC (odds ratio = 2.12 [1.12-4.19]) compared with those with high LE8 scores. Over a median 6-year follow-up, there were 222 all-cause deaths, and 55 cardiovascular deaths occurred. Participants with AAC had an increased risk of all-cause (hazard ratio [HR] = 2.17 [1.60-2.95]) and cardiovascular (HR = 2.35 [1.40-3.93]) mortality. Moreover, individuals with AAC and low or medium LE8 scores exhibited a 137% (HR = 2.37 [1.58-3.54]) and 119% (HR = 2.19 [1.61-2.99]) higher risk of all-cause mortality, as well as a 224% (HR = 3.24 [1.73-6.04]) and 125% (HR = 2.25 [1.24-4.09]) increased risk of cardiovascular mortality, respectively.

Conclusions: The LE8 score correlates with AAC prevalence in middle-aged and older individuals and serves as a valuable tool for evaluating the risk of all-cause and cardiovascular mortality in individuals with AAC.

Aims: To investigate the relationship between cardiorespiratory fitness (CRF) and liver fat content (LFC) in community-based participants and highlight their relationship in people with different body mass indices (BMIs).

Materials and methods: Using UK Biobank data, CRF was estimated with bicycle ergometer fitness testing and was evaluated based on physical work capacity at 75% maximum heart rate (PWC_75%). LFC was quantified through liver proton density fat fraction (PDFF) on magnetic resonance imaging. Multivariate linear regression models were used to analyse the associations of CRF and BMI with absolute reduction and percentage change in PDFF (%).

Results: In total, 5765 participants with a mean age of 55.57 years and a median (range) follow-up of 10.7 (4.0-17.7) years were included. Compared with the lowest PWC_75% tertile, the absolute reduction and percentage change in PDFF in the highest PWC_75% tertile were -0.450 (95% confidence interval [CI] -0.699 to -0.192) and -4.152 (95% CI -6.044 to -2.104), respectively. These associations were independent of BMI, and individuals with obesity and normal weight had the largest absolute reduction and percentage change in LFC, respectively (p for interaction <0.001). Joint analysis showed that PWC_75% and BMI had a negative dose-response relationship with PDFF. These associations were consistent in different sex and age subgroups (p for interaction >0.05).

Conclusions: There was a significant negative association between CRF and LFC, and this association was independent of BMI. The results of this study strongly recommend improving CRF to mitigate LFC.

Aim: To examine the bidirectional association between type 2 diabetes (T2D) and irritable bowel syndrome (IBS) in a large prospective population cohort.

Methods: Participants free of IBS at baseline in the UK Biobank were included in the analysis of T2D and incident IBS (cohort 1), with 11 140 T2D patients and 413 979 non-T2D patients. Similarly, those free of T2D at baseline were included in the analysis of IBS and incident T2D (cohort 2), with 21 944 IBS patients and 413 979 non-IBS patients. Diagnoses of T2D and IBS were based on International Classification of Disease-10 codes. The Cox proportional hazards model was used to estimate adjusted hazard ratios (HRs).

Results: In cohort 1, 8984 IBS cases were identified during a median 14.5-year follow-up. Compared with non-T2D, T2D patients had a 39.0% increased risk of incident IBS (HR = 1.39, 95% confidence interval [CI]: 1.23-1.56, P < .001), with a higher IBS risk in those with higher fasting blood glucose levels (HR = 1.43, 95% CI: 1.19-1.72, P < .001) or longer T2D duration (HR = 1.47, 95% CI: 1.23-1.74, P < .001). In cohort 2, 29 563 incident T2D cases were identified. IBS patients had an 18.0% higher risk of developing T2D versus non-IBS patients (HR = 1.18, 95% CI: 1.12-1.24, P < .001). A similar excess T2D risk was observed in IBS patients with a duration of either less than 10 years, or of 10 years or longer. Further sensitivity analysis and subgroup analysis indicated consistent findings.

Conclusions: T2D and IBS exhibit a bidirectional association, with an increased risk of co-morbidity. Awareness of this association may improve the prevention and management of both diseases.

Aim: To evaluate the association between changes in haemoglobin A1c (HbA1c) and the concurrent incidence of cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM) patients.

Method: We conducted a retrospective cohort study among T2DM patients with HbA1c measurement after T2DM diagnosis between August 2009 and September 2010. The patients were classified into six subgroups based on baseline HbA1c (<7%; 7%-7.9%; ≥8%) and age (<65; ≥65 years), and then clustered into classes by HbA1c trajectory and CVD incidence over the 12-year follow-up period using joint latent class mixture models. We explored the HbA1c trajectories and CVD incidences in each latent class. Multinomial logistic regression was used to compare the baseline characteristics among different latent classes.

Results: A total of 128 843 T2DM patients were included with a median follow-up period of 11.7 years. Ten latent classes were identified in patients with baseline HbA1c ≥ 8% and age <65 years, while seven classes were identified in the other five groups. Among all the identified latent classes, patients with fluctuating HbA1c trajectories, characterized by alternating periods of increase and decrease, had higher CVD incidences. Male patients, and patients with higher baseline HbA1c and use of antidiabetic drugs were more likely to have a fluctuating HbA1c trajectory. More specifically, patients aged < 65 years with younger age or a smoking habit, and patients aged ≥ 65 years with a longer duration of T2DM were more likely to have a fluctuating HbA1c trajectory.

Conclusion: We found that T2DM patients with fluctuating HbA1c trajectories could have a higher CVD risk. Different trajectory-associated characteristics in age subgroups highlight the need for individualized management of T2DM patients.

Objective: To evaluate the effectiveness of integrated personalized diabetes management (iPDM) through telemedicine (tele-iPDM) with regard to glycaemic control.

Methods: A 6-month single-centre, open-label, prospective randomized controlled trial enrolled insulin-treated patients with type 2 diabetes, aged 18-65 years with glycated haemoglobin (HbA1c) levels of 7.5%-10.5%. The tele-iPDM group received insulin adjustment by investigators through a cloud-based telemonitoring platform for 6 months (blood glucose monitoring reviewed weekly from Weeks 0 to 12 and then monthly from Weeks 13 to 24). The control group performed self-monitoring and insulin adjustment. The primary outcome was the difference in HbA1c change from baseline between the two groups at 24 weeks. Secondary outcomes included changes in HbA1c at 12 weeks, fasting plasma glucose, body weight, body mass index (BMI), the percentage of individuals achieving HbA1c <7% at 24 weeks, the percentage of individuals with an HbA1c reduction of >0.5% at 24 weeks, and incidences of hypoglycaemic events.

Results: A total of 151 participants were enrolled, with a mean age of 53.36 ± 8.08 years and a mean diabetes duration of 12.38 ± 8.47 years. The baseline HbA1c was 8.47 ± 0.76%. The mean HbA1c decreased from baseline to 12 and 24 weeks in both groups. At 12 weeks, HbA1c reduction from baseline was -1.2% (95%CI -1.42 to -0.98) in the tele-iPDM group and -0.57% (95%CI -0.79 to -0.36) in the control group. The mean difference in HbA1c between the tele-iPDM and usual care groups at 12 weeks was -0.63% (95%CI -0.94 to -0.32; p < 0.001). At 24 weeks, HbA1c reduction from baseline was -1.14% (95%CI -1.38 to -0.89) in the tele-iPDM group and - 0.49% (95%CI -0.73 to -0.25) in the control group. The mean difference in HbA1c between the tele-iPDM and usual care groups was -0.65% (95%CI -0.99 to -0.30; p < 0.001). There were no significant differences in body weight, BMI, or hypoglycaemic events between the two groups.

Conclusion: Telemonitoring can support the iPDM care model in individuals with insulin-treated type 2 diabetes. It improves the efficiency of diabetes care, enhances glycaemic control at 12 weeks, and sustains glycaemic control at 24 weeks.

Aim: To assess the association of intake of sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs) and natural juices (NJs) with new-onset atrial fibrillation (AF) in people with prediabetes or diabetes.

Methods: A total of 31 433 participants with prediabetes and diabetes from the UK Biobank were included. Information on the intake of SSBs, ASBs and NJs was accessed by 24-hour dietary recalls from 2009 to 2012. The study outcome was new-onset AF.

Results: During a median follow-up of 12.0 years, 2470 (7.9%) AF cases were documented. Both the intake of SSBs (per 1 unit/day increment; adjusted hazard ratio [HR] = 1.11; 95% confidence interval [CI]: 1.04-1.18) and ASBs (per 1 unit/day increment; adjusted HR = 1.08; 95% CI: 1.02-1.14) were linearly and positively associated with new-onset AF, while NJ intake was not significantly associated with new-onset AF (per 1 unit/day increment; adjusted HR = 1.00; 95% CI: 0.93-1.08). Accordingly, compared with non-consumers, participants who consumed more than one unit per day of SSBs (adjusted HR = 1.30; 95% CI: 1.11-1.53) or ASBs (adjusted HR = 1.21; 95% CI:1.05-1.40) had an increased risk of AF. Substituting 1 unit/day of NJs for SSBs was associated with a 9% (adjusted HR = 0.91; 95% CI: 0.83-0.99) lower risk of new-onset AF, while replacing SSBs with ASBs was not significantly associated with new-onset AF (adjusted HR = 0.97; 95% CI: 0.89-1.06).

Conclusions: Both the intake of SSBs and ASBs were linearly and positively associated with new-onset AF, while NJ intake did not show a significant association with AF in people with prediabetes or diabetes. Replacing an equivalent amount of SSB intake with NJs, but not ASBs, was associated with a lower risk of AF.

Aim: To evaluate the potential association between suicidality and glucagon-like peptide-1 receptor agonists (GLP-1RAs), as well as other medications used for obesity and diabetes, using comprehensive global data.

Materials and methods: This study utilized the World Health Organization's pharmacovigilance database, encompassing adverse drug reaction reports from 1967 to 2023, from 170 countries (total reports, N = 131 255 418). We present the reported odds ratios (RORs) with 95% confidence intervals (CIs) and information component (IC) with IC₀₂₅ regarding the association between GLP-1RA use and suicidality.

Results: Although reports of GLP-1RA-associated suicidality increased gradually from 2005 to 2023 (n = 332), no evidence of an association was observed (ROR 0.15 [95% CI 0.13 to 0.16]; IC -2.77 [IC₀₂₅ -2.95]). The lack of evidence of an association persisted regardless of whether GLP-1RAs were used for diabetes treatment (ROR 0.13 [95% CI 0.11 to 0.14]; IC -2.95 [IC₀₂₅ -3.14]) or obesity treatment (ROR 0.44 [95% CI 0.34 to 0.58]; IC -1.16 [IC₀₂₅ -1.62]). However, an association was found between suicidality and other diabetes medications excluding GLP-1RAs (ROR 1.13 [95% CI 1.10 to 1.15]; IC 0.17 [IC₀₂₅ 0.13]). Similarly, the potential association with suicidality was observed in medications used to treat obesity excluding GLP-1RAs (ROR 1.08 [95% CI 1.01 to 1.14]; IC 0.10 [IC₀₂₅ 0.01]).

Conclusions: The suspected association between GLP-1RA use and suicidality, as raised by the European Medicines Agency, was not found in our global analysis. This indicates that the sporadic reports of GLP-1RA-associated suicidality are likely influenced by factors such as comorbidities present in the GLP-1RA user population.