Association of early-onset diabetes, prediabetes and early glycaemic recovery with the risk of all-cause and cardiovascular mortality

Cardiovascular abnormalities already occurred in newly-diagnosed patients with early-onset type 2 diabetes

BACKGROUND

The prevalence of early-onset type 2 diabetes (EOD) is rapidly increasing. This study intends to screen for early cardiovascular abnormalities in patients newly diagnosed with EOD and evaluate the cardiovascular risk across cluster phenotypes.

METHOD

A total of 400 patients ≤ 40 years old with newly diagnosed type 2 diabetes were enrolled from the START cohort (the Study of The newly diAgnosed eaRly onset diabeTes). Cluster classification was performed using the K-means method based on age, BMI, HbA1c, HOMA2-β, HOMA2-IR, and GAD antibodies. Echocardiography and carotid ultrasound were performed within 3 months of diabetes diagnosis. Carotid ultrasound abnormalities included intimal thickening and plaque formation, while echocardiography assessed changes in cardiac structure and systolic/diastolic function. Cluster-specific partitioned polygenic scores (pPS) were used to validate our findings from a genetic perspective.

RESULT

Carotid artery abnormalities were detected in 26.3% of patients, and echocardiography abnormalities were observed in 20.0%. Patients with severe insulin resistant diabetes (SIRD) had the highest incidence of carotid artery abnormality (40.0%). After adjusting for relevant risk factors, fasting C-peptide levels were significantly associated with a 1.247-fold increase in the risk of carotid artery abnormalities. Left atrial enlargement was more prevalent in the SIRD (16.7%) and mild obesity-related diabetes (MOD) (18.5%) classifications. A high proportion of patients with SIRD had abnormal left ventricular geometry (36.1%). Increases in BMI, fasting C-peptide level and HOMA2IR were accompanied by a further increase in left atrial enlargement risk by 1.136-, 1.781- and 1.687-fold respectively. The pPS for lipodystrophy was higher in the EOD group with plaque formation, and showed a significant linear correlation with the ratio of the left atrial anteroposterior diameter to body surface area (LAAP/BSA) (R = 0.344, p < 0.001).

CONCLUSION

Heart and carotid artery abnormalities are common in patients with early-onset T2DM at the time of diagnosis. Patients with obesity and insulin resistance are at higher risk for cardiovascular abnormalities. Cluster classification based on clinical characteristics enables more accurate identification of patients at increased risk of cardiovascular complications at an early stage.

Impact of diabetes remission or progression on the incidence of cardiovascular disease in Japan: historical cohort study using a nationwide claims database

BACKGROUND

Previous studies demonstrated that diabetes remission can occur during intensive intervention and in real-world settings. However, the impact of diabetes remission in real-world settings on the incidence of cardiovascular disease (CVD) remains unclear.

METHODS

This retrospective cohort study included 299,967 individuals aged 20-72 years who underwent multiple checkups between 2008 and 2020 and completed ≥ 3 years of follow-up. Patients were divided into four groups according to changes in glycated hemoglobin levels and the use of diabetes medications during the 1-year baseline period: diabetes mellitus (DM)+/no remission, DM+/remission, DM-/no progression, and DM-/progression. The risk of CVD was evaluated using multivariable Cox regression analysis.

RESULTS

The median follow-up period was 5.0 years. The rates of CVD in the DM+/no remission, DM+/remission, DM-/no progression, and DM-/progression groups were 7.96, 4.76, 1.99, and 5.47 per 1000 person-years, respectively. Compared with DM+/no remission, DM+/remission reduced the risk of CVD [hazard ratio (HR) = 0.71, 95% confidence interval (CI) = 0.57-0.89]. Meanwhile, the HR for CVD in the DM+/remission group was 0.75 (95% CI = 0.56-0.99) for change in BMI ≤ 0%, versus 0.66 (95% CI = 0.45-0.96) for change in BMI > 0%.

CONCLUSIONS

In a real-world setting without intensive intervention, diabetes remission decreased the risk of CVD by approximately 30% regardless of changes in BMI, suggesting that diabetes remission can prevent CVD without weight loss in routine care and emphasizing the importance of achieving remission.

Prediabetes and atrial fibrillation risk stratification, phenotyping, and possible reversal to normoglycemia

Patients admitted with prediabetes and atrial fibrillation are at high risk for major adverse cardiac or cerebrovascular events independent of confounding variables. The shared pathophysiology between these three serious but common diseases and their association with atherosclerotic cardiovascular risk factors establish a vicious circle culminating in high atherogenicity. Because of that, it is of paramount importance to perform risk stratification of patients with prediabetes to define phenotypes that benefit from various interventions. Furthermore, stress hyperglycemia assessment of hospitalized patients and consensus on the definition of prediabetes is vital. The roles lifestyle and metformin play in prediabetes are well established. However, the role of glucagon-like peptide agonists and metabolic surgery is less clear. Prediabetes is considered an intermediate between normoglycemia and diabetes along the blood glucose continuum. One billion people are expected to suffer from prediabetes by the year 2045. Therefore, real-world randomized controlled trials to assess major adverse cardiac or cerebrovascular event risk reduction and reversal/prevention of type 2 diabetes among patients are needed to determine the proper interventions.

U-shaped association of uric acid to HDL cholesterol ratio (UHR) with ALL-cause and cardiovascular mortality in diabetic patients: NHANES 1999-2018

OBJECTIVE

To investigate the relationship between the uric acid to high-density lipoprotein cholesterol ratio (UHR) and ALL-cause and cardiovascular mortality among diabetic patients.

METHODS

This study utilized health data from diabetic patients included in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The Kaplan-Meier curves was employed to preliminarily explore the association between UHR, its components, and all-cause and cardiovascular mortality in diabetic patients, as well as to analyze UHR levels and mortality across different genders. Subsequently, the Cox proportional hazards model was used to further investigate the relationship between UHR, its components, and mortality in diabetic patients. Restricted cubic spline (RCS) curves were applied to examine the nonlinear relationship between UHR, its components, and mortality, with a particular focus on the association between UHR and mortality across different genders.

RESULTS

This longitudinal cohort study included a total of 6,370 participants, comprising 3,268 males and 3,102 females. Kaplan-Meier analysis revealed a positive correlation between UHR, UA, and mortality in diabetic patients, while the association between HDL and mortality was negligible. The Cox proportional hazards model demonstrated a positive association between UHR and mortality in the diabetic population, while the statistical effects of UA and HDL on mortality were less pronounced compared to UHR. When analyzed by gender, no significant linear relationship was observed between UHR and mortality in either males or females. Subsequently, RCS analysis indicated a U-shaped nonlinear relationship between UHR and mortality in the overall diabetic population and among female patients, with a similar trend observed in males. Furthermore, stratified RCS analysis confirmed the persistence of the U-shaped relationship between UHR and prognosis across most subgroups.

CONCLUSION

This study found a U-shaped relationship between UHR and both ALL-cause and cardiovascular mortality in diabetic population. This suggests that clinicians should control UHR around 9-10 to improve the long-term prognosis of diabetic patients.

The Effect of Glycemic Control on Cardiovascular Disease Progression in Adults With Early-Onset Type 2 Diabetes: A Longitudinal Cohort Analysis

Introduction Rising prevalence rates of type 2 diabetes mellitus (T2DM), particularly in younger populations, have made early-onset T2DM (diagnosed before age 40) an increasingly significant health concern. Early-onset T2DM is often associated with more rapid progression and increased complications, including cardiovascular disease (CVD). However, its specific impact on cardiovascular outcomes remains inadequately understood, particularly compared to T2DM in older populations. This study aimed to assess how glycemic management affects the course of CVD in individuals with early-onset T2DM. Methodology During the six months between December 2, 2023, and August 5, 2024, a longitudinal cohort study was carried out at Ayub Teaching Hospital in Abbottabad. In total, 470 adults with early-onset T2DM were included in the study cohort after applying exclusion criteria. Participants were classified into two groups based on glycated hemoglobin (HbA1c) values: those with HbA1c ≤ 7% and those with HbA1c > 7%. Using SPSS version 27 (IBM Corp., Armonk, NY, US), data were analyzed as follows: Baseline characteristics were compiled using descriptive statistics, with mean and standard deviation for continuous variables and frequencies for categorical variables. Time to cardiovascular events relative to glycemic control levels was assessed using Kaplan-Meier survival analysis. To examine the relationship between HbA1c levels and the risk of CVD development, Cox proportional hazards models were employed, adjusting for potential confounders such as age, sex, diabetes duration, BMI, and lipid profile. Differences in continuous variables were analyzed using two-sample t-tests, with p-values < 0.05 considered statistically significant. Results This study assessed the impact of glycemic management on CVD progression in individuals with early-onset T2DM. A total of 470 participants were included, with those having HbA1c > 7% showing a significantly higher risk for cardiovascular events (hazard ratio: 1.88, 95% CI: 1.25-2.85, p < 0.01). Participants with higher HbA1c levels also exhibited worse lipid profiles, including elevated LDL cholesterol (130.4 mg/dL vs. 115.2 mg/dL, p < 0.01) and triglycerides (178.6 mg/dL vs. 150.7 mg/dL, p < 0.01), along with increased blood pressure. These findings highlight the critical role of glycemic control in CVD risk, particularly in younger populations with early-onset T2DM. Conclusion Maintaining HbA1c levels below 7% is crucial for reducing cardiovascular risk in individuals with early-onset T2DM. This study highlights the importance of comprehensive management strategies that focus on glycemic control, lipid regulation, and blood pressure management. These strategies should be implemented through evidence-based interventions, such as lifestyle modifications (e.g., dietary changes, physical activity), pharmacological treatments (e.g., metformin, statins, antihypertensive medications), and regular monitoring to improve cardiovascular outcomes. While the findings are based on a cohort from Ayub Teaching Hospital, they are likely relevant to similar populations with early-onset T2DM, though generalizability to other regions or healthcare settings should be considered with caution.

Combined impact of prediabetes and hepatic steatosis on cardiometabolic outcomes in young adults

OBJECTIVES

This study aimed to investigate the impact of hepatic steatosis on cardiometabolic outcomes in young adults with prediabetes.

METHODS

A nationwide cohort study was conducted with 896,585 young adults under 40 years old without diabetes or previous history of cardiovascular disease. Hepatic steatosis was identified using a fatty liver index of ≥ 60. The outcomes of this study were incident diabetes (DM) and composite major adverse cardiovascular events (MACE), including myocardial infarction, stroke, or cardiovascular death.

RESULTS

During a median follow-up of 11.8 years, 27,437 (3.1%) incident DM cases and 6,584 (0.7%) MACE cases were recorded. Young adults with prediabetes had a significantly higher risk of incident DM (hazard ratio [HR]: 2.81; 95% confidence interval [CI]: 2.74-2.88; P-value: <0.001) and composite MACE risk (HR: 1.10; 95% CI: 1.03-1.17; P-value: 0.003) compared to individuals with normoglycemia, after adjusting for relevant covariates. Stratification based on hepatic steatosis showed that the combination of prediabetes and hepatic steatosis posed the highest risk for these outcomes, after adjusting for relevant covariates. For incident DM, the HRs (95% CI; P-value) were: 3.15 (3.05-3.26; <0.001) for prediabetes without hepatic steatosis, 2.89 (2.78-3.01; <0.001) for normoglycemia with hepatic steatosis, and 6.60 (6.33-6.87; <0.001) for prediabetes with hepatic steatosis. For composite MACE, the HRs (95% CI; P-value) were 1.05 (0.97-1.13; 0.235) for prediabetes without hepatic steatosis, 1.39 (1.27-1.51; <0.001) for normoglycemia with hepatic steatosis, and 1.60 (1.44-1.78; <0.001) for prediabetes with hepatic steatosis.

CONCLUSIONS

Prediabetes and hepatic steatosis additively increased the risk of cardiometabolic outcomes in young adults. These findings hold significance for physicians as they provide insights into assessing high-risk individuals among young adults with prediabetes.

Associations of Diabetes and Prediabetes With Mortality and Life Expectancy in China: A National Study

OBJECTIVE

To investigate the excess mortality and life-years lost associated with diabetes and prediabetes in China.

RESEARCH DESIGN AND METHODS

This national cohort study enrolled 135,405 participants aged 18 years or older from the general population in China. Cox proportional hazards regression models were used to estimate adjusted mortality rate ratio (RR). The life table method was used to estimate life expectancy.

RESULTS

Among the 135,405 participants, 10.5% had diabetes and 36.2% had prediabetes in 2013. During a median follow-up of 6 years, 5517 deaths were recorded, including 1428 and 2300 deaths among people with diabetes and prediabetes, respectively. Diabetes and prediabetes were significantly associated with increased risk of all-cause (diabetes: RR, 1.61 [95% CI 1.49, 1.73]; prediabetes: RR, 1.08 [95% CI 1.01, 1.15]), and cardiovascular disease (diabetes: RR, 1.59 [95% CI 1.41, 1.78]; prediabetes: RR, 1.10 [95% CI 1.00, 1.21]) mortality. Additionally, diabetes was significantly associated with increased risks of death resulting from cancer, respiratory disease, liver disease, and diabetic ketoacidosis or coma. Compared with participants with normoglycemia, life expectancy of those with diabetes and prediabetes was shorter, on average, by 4.2 and 0.7 years at age 40 years, respectively. The magnitude of the associations of diabetes and prediabetes with all-cause and cardiovascular disease mortality varied by age and residence.

CONCLUSIONS

In this national study, diabetes and prediabetes were significantly associated with reduced life expectancy and increased all-cause and cause-specific mortality risks. The disparities in excess mortality associated with diabetes and prediabetes between different ages and residences have implications for diabetes and prediabetes prevention and treatment programs.

Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine

Precision diagnosis is the keystone of clinical medicine. In East Asians, classical type 1 diabetes is uncommon in patients with youngonset diabetes diagnosed before age of 40, in whom a family history, obesity, and beta-cell and kidney dysfunction are key features. Young-onset diabetes affects one in five Asian adults with diabetes in clinic settings; however, it is often misclassified, resulting in delayed or non-targeted treatment. Complex aetiologies, long disease duration, aggressive clinical course, and a lack of evidence-based guidelines have contributed to variable care standards and premature death in these young patients. The high burden of comorbidities, notably mental illness, highlights the numerous knowledge gaps related to this silent killer. The majority of adult patients with youngonset diabetes are managed as part of a heterogeneous population of patients with various ages of diagnosis. A multidisciplinary care team led by physicians with special interest in young-onset diabetes will help improve the precision of diagnosis and address their physical, mental, and behavioral health. To this end, payors, planners, and providers need to align and re-design the practice environment to gather data systematically during routine practice to elucidate the multicausality of young-onset diabetes, treat to multiple targets, and improve outcomes in these vulnerable individuals.

Hypertension combined with atherosclerosis increases the risk of heart failure in patients with diabetes

The increase in heart failure risk in the diabetic population when hypertension and atherosclerosis are both present is still inconclusive. The aim of this study was to explore the effects of hypertension combined with atherosclerosis in diabetic population on the risk of heart failure. We selected 10,711 patients with diabetes who participated in the Kailuan study and completed brachial-ankle pulse wave velocity (baPWV) testing for statistical analysis. The subjects were divided into the non-hypertensive non-atherosclerotic, hypertensive, atherosclerotic, and hypertensive atherosclerotic groups based on their history of hypertension and atherosclerosis. At a median follow-up of 4.15 years, 227 cases of heart failure occurred. Compared with the non-hypertensive non-atherosclerotic group, the multifactorial Cox proportional risk regression model showed that the hazard ratio (HR) for heart failure in the hypertensive atherosclerotic group was 3.08 (95% confidence interval [CI]: 1.32-7.16), whereas the HR decreased to 2.38 (95% CI: 1.01-5.63) after gradual correction of lipid-lowering, glucose-lowering, and antihypertensive drugs. The subgroup analysis and sensitivity analysis were consistent with that of total population. In conclusion, patients with diabetes exposed to both hypertension and atherosclerosis had an increased heart failure risk, which was attenuated by the use of lipid-lowering, glucose-lowering, and antihypertensive drugs.

Age-specific differences in the association between prediabetes and cardiovascular diseases in China: A national cross-sectional study

BACKGROUND

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, the global burden of which is rising. It is still unclear the extent to which prediabetes contributes to the risk of CVD in various age brackets among adults. To develop a focused screening plan and treatment for Chinese adults with prediabetes, it is crucial to identify variations in the connection between prediabetes and the risk of CVD based on age.

AIM

To examine the clinical features of prediabetes and identify risk factors for CVD in different age groups in China.

METHODS

The cross-sectional study involved a total of 46239 participants from June 2007 through May 2008. A thorough evaluation was conducted. Individuals with prediabetes were categorized into two groups based on age. Chinese atherosclerotic CVD risk prediction model was employed to evaluate the risk of developing CVD over 10 years. Random forest was established in both age groups. SHapley Additive exPlanation method prioritized the importance of features from the perspective of assessment contribution.

RESULTS

In total, 6948 people were diagnosed with prediabetes in this study. In pre-diabetes, prevalences of CVD were 5 (0.29%) in the younger group and 148 (2.85%) in the older group. Overall, 11.11% of the younger group and 29.59% of the older group were intermediate/high-risk of CVD for prediabetes without CVD based on the Prediction for ASCVD Risk in China equation in ten years. In the younger age group, the 10-year risk of CVD was found to be more closely linked to family history of CVD rather than lifestyle, whereas in the older age group, resident status was more closely linked.

CONCLUSION

The susceptibility to CVD is age-specific in newly diagnosed prediabetes. It is necessary to develop targeted approaches for the prevention and management of CVD in adults across various age brackets.

The associations of risk of cardiovascular disease with development stages of diabetes in Chinese population: findings from a retrospective cohort study in QuZhou city

BACKGROUND

Risk analysis is an important area of research in diabetes and cardiovascular disease (CVD), both of which have significant global health burdens. Although there is evidence that patients with prediabetes and diabetes mellitus may have an increased risk of CVD, few studies have been conducted in mainland China.

METHODS

This retrospective cohort study utilized data from the Quzhou City Resident Health Information System and the Zhejiang Province Chronic Disease Surveillance System in China. Prediabetes and diabetes mellitus were the exposure interests, and the outcome event was defined as the onset of cardiovascular and cerebrovascular disease (including coronary heart disease and stroke). The start date of the study was January 1, 2015, and the follow-up deadline was December 31, 2020. Multivariate Cox proportional hazard model were used to assess the associations among prediabetes, diabetes, and CVD risk. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Our study used follow-up time as the time scale, while adjusting for age, sex, physical activity, smoking, alcohol consumption, BMI in the models Sensitivity analyses were conducted to assess the stability of the results, by excluding participants who smoked and drank alcohol, participants who developed CVD in the first year of follow-up.

RESULTS

In total, 138,970 participants were included in our study, with a mean follow-up of 5.8 years. The mean age of the participants was 58.82 ± 14.44 years, with 42.79% (n = 59,466) males and 57.21% (n = 79,504) females. During the study period 4357 cases of CVD were recorded. Participants with prediabetes (P = 0.003) and diabetes (P < 0.001) had a higher risk of CVD than those who were Normal (HR [95% CI]: 1.14 [1.05-1.24]; 1.68 [1.55-1.81], respectively). Prediabetes and patients living with diabetes had a 14% and 68% increased risk of CVD, respectively. The results of the sensitivity analyses were consistent with those of the main analyses after excluding those who developed CVD within one year of follow-up and those who were concurrent smokers or alcohol drinkers.

CONCLUSIONS

Our research found that prediabetes is significantly associated with the risk of diabetes and CVD.

Association of remnant cholesterol and newly diagnosed early-onset type 2 diabetes mellitus in Chinese population: A retrospective cross-sectional study

BACKGROUND

With the increasing incidence of diabetes worldwide, patients diagnosed with diabetes has been getting younger. Previous studies have shown that high remnant cholesterol (RC) level leads to an increased risk of cardiovascular disease events. However, the relationship between RC levels and newly diagnosed early-onset type 2 diabetes mellitus (T2DM) is unknown. This study aimed to explore the association between RC and newly diagnosed early-onset T2DM.

METHODS

A total of 606 patients newly diagnosed with early-onset T2DM and 619 gender-matched subjects with normal blood glucose levels were retrospectively enrolled in this study. All T2DM patients showed onset age of 18-40 years. Binary logistic regression analysis was performed to analyze independent risk factors and receiver operating characteristic (ROC) analysis was used to explore the predictive value of RC and other unconventional lipids. Moreover, the correlation between RC and insulin resistance in patients with newly diagnosed early-onset T2DM was also examined with binary logistic regression analysis and Spearman correlation analysis.

RESULTS

Increased RC level was an independent risk factor for early-onset T2DM (p < .05). The area under the curve on ROC analysis of RC was 0.805, 95% confidence interval (CI) was 0.781 ~ 0.826, sensitivity was 82.18% and specificity was 66.24%, which showed higher predictive value than those of triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and total cholesterol (TC)/HDL-C ratio. Cutoff value of RC was 0.32 mmol/L. Level of RC in early-onset T2DM patients with moderate or severe insulin resistance was significantly higher than that in patients with mild insulin resistance (p < .0001). No difference in RC levels was found between patients with moderate and severe insulin resistance (p > .05). RC was still correlated with insulin resistance after adjusting the conventional lipid parameters (TG, TC, HDL-C, and low-density lipoprotein cholesterol) using partial correlation analysis.

CONCLUSION

RC level was higher in patients with early-onset T2DM and was correlated to the degree of insulin resistance as well. Patients aged 18-40 years with RC >0.32 mmol/L showed an increased risk of developing T2DM.

Questionnaire-Based Survey of Diabetes Self-Care Activities and Barriers among Young Korean Adults with Early-Onset Diabetes

PURPOSE

Self-management of diabetes is a significant challenge. This study aimed to assess diabetes self-care activities and barriers among Korean young adults with diabetes mellitus.

MATERIALS AND METHODS

This study recruited 209 Korean adults with diabetes, with an onset age of 20-39 years, from four university hospitals. Demographic characteristics and the Summary of Diabetes Self-Care Activities (SDSCA) measure and Diabetes Self-Care Barriers Assessment Scale for Older Adults (DSCB-OA) scores were assessed using questionnaires.

RESULTS

The average age of study participants was 32.9±6.1 years. Their self-care activities, including adherence to recommended diabetes medication (5.6±2.4) and number of diabetes pills (5.5±2.3) in the SDSCA measure, were the most well-performed activities among all domains. Responses to inspection of the inside of shoes in the foot care activity (0.8±1.5) and specific exercise sessions in the exercise activity (1.6±1.9) reflected poor levels of compliance. According to the DSCB-OA questionnaire, the mean diabetes self-care barrier of DSCB-OA was 20.6±5.0 of total score 45. The greater perceived barriers to self-care on the DSCB-OA were having difficulty exercising regularly (1.9±0.7) and eating three meals and snacks leading to weight gain (1.9±0.8).

CONCLUSION

Young adults with early-onset diabetes showed a greater barrier to regular exercise and poor compliance with foot care and blood sugar testing. Healthcare providers must strengthen their relationship with young adults with diabetes to provide more education and guidelines for lifestyle modification focused on exercise and to promote higher compliance with diabetic self-care activities for improving clinical outcomes.

Comparison of clinical characteristics and disease burden between early- and late-onset type 2 diabetes patients: a population-based cohort study

BACKGROUND

The clinical characteristics of early-onset type 2 diabetes (T2D) patients are not fully understood. To address this gap, we conducted a cohort study to evaluate clinical characteristics and disease burden in the new-onset T2D population, especially regarding the progression of diseases.

METHODS

This cohort study was conducted using a population-based database. Patients who were diagnosed with T2D were identified from the database and were classified into early- (age < 40) and late-onset (age ≥ 40) groups. A descriptive analysis was performed to compare clinical characteristics and disease burden between early- and late-onset T2D patients. The progression of disease was compared using Kaplan‒Meier analysis.

RESULTS

A total of 652,290 type 2 diabetic patients were included. Of those, 21,347 were early-onset patients, and 300,676 were late-onset patients. Early-onset T2D patients had poorer glycemic control than late-onset T2D patients, especially at the onset of T2D (HbA1c: 9.3 [7.5, 10.9] for early-onset vs. 7.7 [6.8, 9.2] for late-onset, P < 0.001; random blood glucose: 10.9 [8.0, 14.3] for early-onset vs. 8.8 [6.9, 11.8] for late-onset, P < 0.001). Insulin was more often prescribed for early-onset patients (15.2%) than for late-onset patients (14.8%). Hypertension (163.0 [28.0, 611.0] days) and hyperlipidemia (114.0 [19.0, 537.0] days) progressed more rapidly among early-onset patients, while more late-onset patients developed hypertension (72.7% vs. 60.1%, P < 0.001), hyperlipidemia (65.4% vs. 51.0%, P < 0.001), cardiovascular diseases (66.0% vs. 26.7%, P < 0.001) and chronic kidney diseases (5.5% vs. 2.1%, P < 0.001) than early-onset patients.

CONCLUSIONS

Our study results indicate that patients with newly diagnosed early-onset T2D had earlier comorbidities of hypertension and hyperlipidemia. Both clinical characteristics and treatment patterns suggest that the degree of metabolic disturbance is more severe in patients with early-onset type 2 diabetes. This highlights the importance of promoting healthy diets or lifestyles to prevent T2D onset in young adults.

Elevated high-sensitivity C-reactive protein levels increase the risk of new-onset cardiac conduction disorders

BACKGROUND

Previous studies have reported that inflammatory responses can promote the onset of cardiovascular diseases; however, its association with cardiac conduction disorders remains unclear. The present community-based cohort study aimed to elucidate the effects of inflammatory responses on the risk of developing cardiac conduction disorders.

METHODS

After the exclusion of participants failing to meet the inclusion criteria, 86,234 eligible participants (mean age: 50.57 ± 11.88 years) were included. The participants were divided into high-sensitivity C-reactive protein (hsCRP)  ≤  3 mg/L, and hsCRP > 3 mg/L groups based on hsCRP values. Multivariate Cox proportional hazard model was used to analyze the relationship between inflammatory responses and various cardiac conduction disorders.

RESULTS

After adjusting for confounding factors, we observed that compared with the hsCRP ≤ 3 mg/L group, the hsCRP > 3 mg/L group exhibited increased risks of atrioventricular block (hazard ratio [HR]:1.64, 95%confidence interval [CI] 1.44-1.87) and left (HR:1.25, 95% CI 1.07-1.45) and right bundle branch block (HR:1.31, 95% CI 1.17-1.47). Moreover, the risk of various cardiac conduction disorders increased for every 1 standard deviation increase in log (hsCRP). The restricted cubic spline function confirmed a linear relationship between log (hsCRP) and the risk of developing cardiac conduction disorders (All nonlinearity P > 0.05).

CONCLUSIONS

High hsCRP levels are an independent risk factor for cardiac conduction disorders, and hsCRP levels are dose-dependently associated with the risk of conduction disorders. Our study results may provide new strategies for preventing cardiac conduction disorders.

6-Year trajectory of fasting plasma glucose (FPG) and mortality risk among individuals with normal FPG at baseline: a prospective cohort study

BACKGROUND

Higher fasting plasma glucose (FPG) levels were associated with an increased risk of all-cause mortality; however, the associations between long-term FPG trajectory groups and mortality were unclear, especially among individuals with a normal FPG level at the beginning. The aims of this study were to examine the associations of FPG trajectories with the risk of mortality and identify modifiable lifestyle factors related to these trajectories.

METHODS

We enrolled 50,919 individuals aged ≥ 20 years old, who were free of diabetes at baseline, in the prospective MJ cohort. All participants completed at least four FPG measurements within 6 years after enrollment and were followed until December 2011. FPG trajectories were identified by group-based trajectory modeling. We used Cox proportional hazards models to examine the associations of FPG trajectories with mortality, adjusting for age, sex, marital status, education level, occupation, smoking, drinking, physical activity, body mass index, baseline FPG, hypertension, dyslipidemia, cardiovascular disease or stroke, and cancer. Associations between baseline lifestyle factors and FPG trajectories were evaluated using multinomial logistic regression.

RESULTS

We identified three FPG trajectories as stable (n = 32,481), low-increasing (n = 17,164), and high-increasing (n = 1274). Compared to the stable group, both the low-increasing and high-increasing groups had higher risks of all-cause mortality (hazard ratio (HR) = 1.18 (95% CI 0.99-1.40) and 1.52 (95% CI 1.09-2.13), respectively), especially among those with hypertension. Compared to participants with 0 to 1 healthy lifestyle factor, those with 6 healthy lifestyle factors were more likely to be in the stable group (ORlow-increasing = 0.61, 95% CI 0.51-0.73; ORhigh-increasing = 0.20, 95% CI 0.13-0.32).

CONCLUSIONS

Individuals with longitudinally increasing FPG had a higher risk of mortality even if they had a normal FPG at baseline. Adopting healthy lifestyles may prevent individuals from transitioning into increasing trajectories.

Age at diagnosis, diabetes duration and the risk of cardiovascular disease in patients with diabetes mellitus: a cross-sectional study

Background

The purpose of the study was to evaluate characteristics and risk of cardiovascular disease (CVD) according to age at diagnosis and disease duration among adults with diabetes mellitus (DM).

Methods

The association between age at diagnosis, diabetes duration and CVD were examined in 1,765 patients with DM. High risk of estimated ten-year atherosclerotic cardiovascular disease (ASCVD) was performed by the Prediction for ASCVD Risk in China (China-PAR) project. Data were compared with analysis of variance and χ2 test, respectively. Multiple logistic regression was used to determine the risk factors of CVD.

Results

The mean age at diagnosis (± standard deviation) was 52.91 ± 10.25 years and diabetes duration was 8.06 ± 5.66 years. Subjects were divided into early-onset DM group (≤43 years), late-onset DM group (44 to 59 years), elderly-onset DM group (≥60 years) according to age at diagnosis. Diabetes duration was classified by 5 years. Both early-onset and longest diabetes duration (>15 years) had prominent hyperglycaemia. Diabetes duration was associated with the risk of ischemic stroke (odds ratio (OR), 1.091) and coronary artery disease (OR, 1.080). Early-onset group (OR, 2.323), and late-onset group (OR, 5.199), and hypertension (OR, 2.729) were associated with the risk of ischemic stroke. Late-onset group (OR, 5.001), disease duration (OR, 1.080), and hypertension (OR, 2.015) and hyperlipidemia (OR, 1.527) might increase the risk of coronary artery disease. Aged over 65 (OR, 10.192), central obesity (OR, 1.992), hypertension (OR, 18.816), cardiovascular drugs (OR, 5.184), antihypertensive drugs (OR, 2.780), and participants with disease duration >15 years (OR, 1.976) were associated with the high risk of estimated ten-year ASCVD in participants with DM.

Conclusion

Age at diagnosis, diabetes duration, hypertension and hyperlipidemia were independent risks of CVD. Longest (>15 years) diabetes duration increased the high risk of ten-year ASCVD prediction among Chinese patients with DM. It's urgent to emphasize the importance of age at diagnosis and diabetes duration to improve primary complication of diabetes.

Prediabetes and all-cause mortality in young patients undergoing coronary artery angiography: a multicenter cohort study in China

BACKGROUND

The prevalence of prediabetes is increasing in young adults and patients undergoing coronary angiography. However, whether prediabetes is a considerable risk factor for all-cause mortality remains undetermined in young patients undergoing coronary angiography.

METHODS

In this study, we retrospectively included 8868 young patients (men aged < 45 years, women aged < 55 years) who underwent coronary angiography (CAG). Patients were categorized as normoglycemic, prediabetes and diabetes according to the HbA1c level or documented history of diabetes. The association of all-cause mortality with diabetes and prediabetes was detected by Cox proportional hazards regression analysis.

RESULTS

A total of 3240 (36.5%) among 8868 young patients receiving CAG were prediabetes and 2218 (25.0%) were diabetes. 728 patients died during a median follow-up of 4.92 years. Compared to the normoglycemic group, prediabetes increased the risk of all-cause mortality in young CAG patients by 24%(adjusted HR: 1.24, 95% CI: 1.04-1.49, p = 0.019) and diabetes increased the risk of all-cause mortality by 46%(adjusted HR:1.46, 95% CI:1.2-1.79, p < 0.001). Subgroup analysis showed that diabetes and prediabetes increased the risk of death mainly in patients without comorbidities.

CONCLUSION

Prediabetes accounts for more than one-third of the young adults undergoing CAG and was associated with an increased risk of all-cause mortality, active prevention strategy should be considered for these patients.

Adding Estimated Cardiorespiratory Fitness to the Framingham Risk Score and Mortality Risk in a Korean Population-Based Cohort Study

BACKGROUND

The added value of non-exercise-based estimation of cardiorespiratory fitness (eCRF) to cardiovascular disease (CVD) risk factors for mortality risk has not been examined in Korean populations.

METHODS

This population-based prospective cohort study examined the relationship of the 10-year Framingham risk score (FRS) for CVD risk and eCRF with all-cause and CVD mortality in a representative sample of Korean adults aged 30 years and older. Data regarding a total of 38,350 participants (16,505 men/21,845 women) were obtained from the 2007-2015 Korea National Health and Nutrition Examination Survey (KNHANES). All-cause and CVD mortality were the main outcomes. The 10-year FRS point sum and eCRF level were the main exposures.

RESULTS

All-cause and CVD mortality was positively correlated with the 10-year FRS point summation and inversely correlated with eCRF level in this study population. The protective of high eCRF against all-cause and CVD mortality was more prominent in the middle and high FRS category than in the low FRS category. Notably, the FRS plus eCRF model has better predictor power for estimating mortality risk compared to the FRS only model.

CONCLUSIONS

The current findings indicate that eCRF can be used as an alternative to objectively measured CRF for mortality risk prediction.

Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder

OBJECTIVE

We propose an interpretable disease prediction model that efficiently fuses multiple types of patient records using a self-attentive fusion encoder. We assessed the model performance in predicting cardiovascular disease events, given the records of a general patient population.

MATERIALS AND METHODS

We extracted 798111 ses and 67 623 controls from the sample cohort database and nationwide healthcare claims data of South Korea. Among the information provided, our model used the sequential records of medical codes and patient characteristics, such as demographic profiles and the most recent health examination results. These two types of patient records were combined in our self-attentive fusion module, whereas previously dominant methods aggregated them using a simple concatenation. The prediction performance was compared to state-of-the-art recurrent neural network-based approaches and other widely used machine learning approaches.

RESULTS

Our model outperformed all the other compared methods in predicting cardiovascular disease events. It achieved an area under the curve of 0.839, while the other compared methods achieved between 0.74111 d 0.830. Moreover, our model consistently outperformed the other methods in a more challenging setting in which we tested the model's ability to draw an inference from more nonobvious, diverse factors.

DISCUSSION

We also interpreted the attention weights provided by our model as the relative importance of each time step in the sequence. We showed that our model reveals the informative parts of the patients' history by measuring the attention weights.

CONCLUSION

We suggest an interpretable disease prediction model that efficiently fuses heterogeneous patient records and demonstrates superior disease prediction performance.

Association Between Age at Diagnosis of Type 2 Diabetes and Cardiovascular Diseases: A Nationwide, Population-Based, Cohort Study

OBJECTIVES

Nationwide studies focusing on the impact of early-onset type 2 diabetes and obesity on the development of cardiovascular diseases (CVD) are limited in China. We aimed to investigate the association between age at diagnosis of type 2 diabetes and the risk of CVD, and to further examine the modifying effect of obesity on this association among Chinese adults.

METHODS

This study included 23,961 participants with previously diagnosed diabetes from a large nationwide population-based cohort study across mainland China. With an interviewer-assisted questionnaire, we collected detailed information on CVDs. Logistic regression analysis was used to evaluate the risk of CVDs associated with age at diagnosis of diabetes.

RESULTS

Compared with patients with late-onset diabetes (≥60 years), those with earlier-onset diabetes had increased risks for CVD, with adjusted ORs (95% CIs) of 1.72 (1.36-2.17), 1.52 (1.31-1.75) and 1.33 (1.19-1.48) for patients diagnosed aged <40, 40-49 and 50-59 years, respectively. Each 5-year earlier age at diagnosis of type 2 diabetes was significantly associated with 14% increased risk of CVD (OR, 1.14; 95%CI, 1.11-1.18). This association was more prominent for patients with obesity than those with normal body mass index (BMI). Significant interaction was detected between age at diagnosis and BMI categories on CVD risk (P for interaction=0.0457).

CONCLUSION

Early-onset type 2 diabetes was significantly associated with higher risk of CVD, and this association was more prominent among patients with obesity.

Risk Prediction of the Diabetes Missing Million: Identifying Individuals at High Risk of Diabetes and Related Complications

Early diagnosis and effective management of type 2 diabetes (T2D) are crucial in reducing the risk of developing life-changing complications such as heart failure, stroke, kidney disease, blindness and amputation, which are also associated with significant costs for healthcare providers. However, as T2D symptoms often develop slowly it is not uncommon for people to live with T2D for years without being aware of their condition-commonly known as the undiagnosed missing million. By the time a diagnosis is received, many individuals will have already developed serious complications. While the existence of undiagnosed diabetes has long been recognised, wide-reaching awareness among the general public, clinicians and policymakers is lacking, and there is uncertainty in how best to identify high-risk individuals. In this article we have used consensus expert opinion alongside the available evidence, to provide support for the diabetes healthcare community regarding risk prediction of the missing million. Its purpose is to provide awareness of the risk factors for identifying individuals at high, moderate and low risk of T2D and T2D-related complications. The awareness of risk predictors, particularly in primary care, is important, so that appropriate steps can be taken to reduce the clinical and economic burden of T2D and its complications.