Associations of Type 2 Diabetes Onset Age With Cardiovascular Disease and Mortality: The Kailuan Study

The interaction effect between BMI, diabetes and age at diabetes onset on the risk of thyroid cancer: A population-based cohort study in Shanghai, China

AIM

To determine the association of the presence of diabetes and, among persons with diabetes, the age at type 2 diabetes mellitus (T2DM) onset, BMI and the interactive effect with the subsequent thyroid cancer risk.

MATERIALS AND METHODS

We conducted a population register-based longitudinal cohort study in Shanghai, including 428 568 persons with new-onset T2DM matched with the general population. The risk of thyroid cancer among subgroups was calculated based on standardized incidence ratio (SIR), hazard ratio (HR) and Cox proportional hazards models.

RESULTS

In total, 1142 thyroid cancer cases were identified during 8 years of follow-up, with an incidence rate of 59.01/100 000 person-years and a higher risk (SIR = 1.21) compared with the general population. The earlier age at T2DM onset and higher BMI were associated with an increasing risk of thyroid cancer independently (onset age <50, SIR: 1.46; BMI ≥30.0 kg/m2, SIR: 1.93), with the highest risk in patients with both BMI ≥30.0 kg/m2 and onset age <50 years (SIR = 3.91, HR = 3.04). Among patients with T2DM onset age <60 years, SIR increased with higher BMI, while there were no trends when onset age ≥60 years. Among patients with BMI ≥25.0 kg/m2, SIR increased with an earlier onset age, whereas no trends were shown in the BMI <24.9 kg/m2 groups. Obese (BMI ≥30.0 kg/m2) patients had a significantly higher HR of thyroid cancer only when T2DM onset age <60 years.

CONCLUSIONS

Both earlier age of T2DM onset (<50 years) and higher BMI (≥30 kg/m2) contributed to the higher risk of thyroid cancer. Patients with young-onset T2DM and obesity are considered more vulnerable to thyroid cancer development.

Risk stratification for cardiovascular disease based on prior coronary artery disease, cerebrovascular disease and type 2 diabetes mellitus

AIMS/INTRODUCTION

History of coronary artery disease (CAD), cerebrovascular disease (CeVD), type 2 diabetes and their combined effect on cardiovascular disease are essential for cardiovascular risk management. We investigated the association of prior CAD, prior CeVD, type 2 diabetes and their combination with the risk of cardiovascular disease.

MATERIALS AND METHODS

This is a historical cohort study including 342,033 participants (aged 18-72 years) followed up for ≥5 years between 2008 and 2016. Participants were classified into eight groups (with or without prior CAD, prior CeVD and type 2 diabetes). Type 2 Diabetes was defined by fasting plasma glucose and glycated hemoglobin levels, and antidiabetic drug prescription. Prior and subsequent CAD and CeVD were identified according to claims using International Classification of Diseases 10th Revision codes, medical procedures and questionnaires. Cox regression models were used to evaluate the risk of cardiovascular events.

RESULTS

The median follow-up period was 6.4 years. The incidence of composite cardiovascular events of CAD and CeVD in the CAD-/CeVD-, CAD+/CeVD-, CAD-/CeVD+ and CAD+/CeVD+ groups were 1.92 and 6.94, 25.14 and 31.98 per 1,000 person-years in non-diabetes participants, and 8.66, 18.04, 39.98 and 60.72 in type 2 diabetes patients, respectively. Hazard ratios of cardiovascular events compared with CAD-/CeVD-/non-diabetes were 1.66 (95% confidence interval 1.55-1.78) in CAD-/CeVD-/type 2 diabetes and 1.84 (1.56-2.18) in CAD+/CeVD-/non-diabetes. CeVD+ was linked to a 4-7-fold increase in the risk of cardiovascular events regardless of CAD+ or type 2 diabetes.

CONCLUSIONS

Type 2 diabetes increased the risk of cardiovascular disease as high as a history of CAD, whereas prior CeVD alone increased the risk of future CeVD without additional effects by type 2 diabetes.

All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration

BACKGROUND

Evidence on type 2 diabetes onset age and duration on mortality risk has been limited by short follow-up, inadequate control for confounding, missing repeated measurements, and inability to cover the full range of onset age, duration, and major causes of death. Moreover, scarce data dissect how type 2 diabetes onset age and duration shape life expectancy.

METHODS

We evaluate prospectively these topics based on 270,075 eligible participants in the Nurses' Health Studies and Health Professionals Follow-up Study, leveraging repeated measurements throughout up to 40 years of follow-up. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

In fully adjusted analyses, incident early onset type 2 diabetes (diagnosed <40 years of age) was associated with significantly higher mortality from all-causes (HR, 95% CI was 3.16, 2.64-3.79; vs. individuals without type 2 diabetes), cardiovascular disease (6.56, 4.27-10.1), respiratory disease (3.43, 1.38-8.51), neurodegenerative disease (5.13, 2.09-12.6), and kidney disease (8.55, 1.98-36.9). The relative risk elevations declined dramatically with each higher decade of age at diagnosis for deaths from most of these causes, though the absolute risk difference increased continuously. A substantially higher cumulative incidence of mortality and a greater loss in life expectancy were associated with younger age at type 2 diabetes diagnosis. Longer disease duration was associated with generally higher relative and absolute risk of mortality.

CONCLUSION

Early onset of type 2 diabetes and longer disease duration are associated with substantially increased risk of all-cause and cause-specific mortality and greater loss in life expectancy.

Association of lifestyle with reduced stroke risk in 41 314 individuals with diabetes: Two prospective cohort studies in China

AIM

To investigate the associations of individual and combined healthy lifestyle factors (HLS) with the risk of stroke in individuals with diabetes in China.

METHODS

This prospective analysis included 41 314 individuals with diabetes [15 191 from the Comprehensive Research on the Prevention and Control of the Diabetes (CRPCD) project and 26 123 from the China Kadoorie Biobank (CKB) study]. Associations of lifestyle factors, including cigarette smoking, alcohol consumption, physical activity, diet, body shape and sleep duration, with the risk of stroke, intracerebral haemorrhage (ICH) and ischaemic stroke (IS) were assessed using Cox proportional hazard models.

RESULTS

During median follow-up periods of 8.02 and 9.05 years, 2499 and 4578 cases of stroke, 2147 and 4024 of IS, and 160 and 728 of ICH were documented in individuals with diabetes in the CRPCD and CKB cohorts, respectively. In the CRPCD cohort, patients with ≥5 HLS had a 14% lower risk of stroke (hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.75-0.98) than those with ≤2 HLS. In the CKB cohort, the adjusted HR (95% CI) for patients with ≥5 HLS were 0.74 (0.66-0.83) for stroke, 0.74 (0.66-0.83) for IS, and 0.57 (0.42-0.78) for ICH compared with those with ≤2 HLS. The pooled adjusted HR (95% CI) comparing patients with ≥5 HLS versus ≤2 HLS was 0.79 (0.69-0.92) for stroke, 0.80 (0.68-0.93) for IS, and 0.60 (0.46-0.78) for ICH.

CONCLUSIONS

Maintaining a healthy lifestyle was associated with a lower risk of stroke, IS and ICH among individuals with diabetes.

Associations of serum uric acid variability with neuroimaging metrics and cognitive decline: a population-based cohort study

BACKGROUND

The relationship between variation in serum uric acid (SUA) levels and brain health is largely unknown. This study aimed to examine the associations of long-term variability in SUA levels with neuroimaging metrics and cognitive function.

METHODS

This study recruited 1111 participants aged 25-83 years from a multicenter, community-based cohort study. The SUA concentrations were measured every two years from 2006 to 2018. We measured the intraindividual SUA variability, including the direction and magnitude of change by calculating the slope value. The associations of SUA variability with neuroimaging markers (brain macrostructural volume, microstructural integrity, white matter hyperintensity, and the presence of cerebral small vessel disease) and cognitive function were examined using generalized linear models. Mediation analyses were performed to assess whether neuroimaging markers mediate the relationship between SUA variation and cognitive function.

RESULTS

Compared with the stable group, subjects with increased or decreased SUA levels were all featured by smaller brain white matter volume (beta =  - 0.25, 95% confidence interval [CI] - 0.39 to - 0.11 and beta =  - 0.15, 95% CI - 0.29 to - 0.02). Participants with progressively increased SUA exhibited widespread disrupted microstructural integrity, featured by lower global fractional anisotropy (beta =  - 0.24, 95% CI - 0.38 to - 0.10), higher mean diffusivity (beta = 0.16, 95% CI 0.04 to 0.28) and radial diffusivity (beta = 0.19, 95% CI 0.06 to 0.31). Elevated SUA was also associated with cognitive decline (beta =  - 0.18, 95% CI - 0.32 to - 0.04). White matter atrophy and impaired brain microstructural integrity mediated the impact of SUA increase on cognitive decline.

CONCLUSIONS

It is the magnitude of SUA variation rather than the direction that plays a critical negative role in brain health, especially for participants with hyperuricemia. Smaller brain white matter volume and impaired microstructural integrity mediate the relationship between increased SUA level and cognitive function decline. Long-term stability of SUA level is recommended for maintaining brain health and preventing cognitive decline.

Discordance between Remnant Cholesterol and Low-density Lipoprotein Cholesterol Predicts Cardiovascular Disease: the Kailuan Prospective Cohort Study

BACKGROUND

Previous studies have shown that remnant cholesterol (RC) was associated with cardiovascular disease (CVD). The study aim to identify the association of RC and the discordance between RC and lipoprotein cholesterol (LDL-C) with CVD.

METHODS

Data was obtained from the Kailuan study. RC was calculated as the non high-density lipoprotein cholesterol minus LDL-C. Discordant RC and LDL-C were defined by percentile difference and clinical cutoff points. Cox proportional hazard models were used to explore the association of RC and the discordance between RC and LDL-C with CVD.

RESULTS

Total of 96,769 participants were inclued, with the median age of 51.61 years, 79.56% of male. There was a significant association between RC levels and the risk of CVD, with an HR of 1.10 (95% CI, 1.08-1.13) in the continuous analysis. The discordantly high RC group had a significant increase in CVD, MI, and stroke risk, with HRs of 1.18 (95%CI, 1.10-1.26), 1.23 (1.06-1.43), and 1.15 (1.07-1.24), respectively. Compared to the group with low LDL-C and low RC, the group with low LDL-C and high RC had significantly higher incidences of CVD (HR, 1.33 [95% CI, 1.26-1.40]), MI (HR, 1.59 [95% CI, 1.41-1.80]), and stroke (HR, 1.28 [95% CI, 1.20-1.35]).

CONCLUSIONS

Elevated levels of RC and discordantly high RC with LDL-C both were associated with the risk of CVD, MI, and stroke. These findings demonstrate the clinical significance of identifying residual risk related to RC.

Evaluating the incidence of complications among people with diabetes according to age of onset: Findings from the UK Biobank

AIMS

To examine the impact of current age, age at diagnosis, and duration of diabetes on the incidence rate of complications among people with type 2 diabetes.

METHODS

Baseline data from 19,327 individuals with type 2 diabetes in the UK Biobank were analysed. Poisson regression was used to model incidence rates by current age, age at diagnosis, and duration of diabetes for the following outcomes: myocardial infarction (MI), heart failure (HF), stroke, end-stage kidney diseases (ESKD), chronic kidney diseases (CKD), liver diseases, depression, and anxiety.

RESULTS

The mean age at baseline was 60.2 years, and median follow-up was 13.9 years. Diabetes duration was significantly longer among those with younger-onset type 2 diabetes (diagnosed at <40 years) compared to later-onset type 2 diabetes (diagnosed at ≥40 years), 16.2 and 5.3 years, respectively. Incidence rates of MI, HF, stroke, and CKD had strong positive associations with age and duration of diabetes, whereas incidence rates of ESKD liver diseases, and anxiety mainly depended on duration of diabetes. The incidence rates of depression showed minor variation by age and duration of diabetes and were highest among those diagnosed at earlier ages. No clear evidence of an effect of age of onset of diabetes on risk of complications was apparent after accounting for current age and duration of diabetes.

CONCLUSIONS

Our study indicates age at diagnosis of diabetes does not significantly impact the incidence of complications, independently of the duration of diabetes. Instead, complications are primarily influenced by current age and diabetes duration.

Association between Urine Specific Gravity as a Measure of Hydration Status and Risk of Type 2 Diabetes: The Kailuan Prospective Cohort Study

Diabetes, especially type 2 diabetes (T2D), poses an unprecedented challenge to global public health. Hydration status also plays a fundamental role in human health, especially in people with T2D, which is often overlooked. This study aimed to explore the longitudinal associations between hydration status and the risk of T2D among the Chinese population. This study used data from the large community-based Kailuan cohort, which included adults who attended physical examinations from 2006 to 2007 and were followed until 2020. A total of 71,526 participants who eventually met the standards were divided into five hydration-status groups based on their levels of urine specific gravity (USG). Multivariable and time-dependent Cox proportional hazards models were employed to evaluate the associations of baseline and time-dependent hydration status with T2D incidence. Restricted cubic splines (RCS) analysis was used to examine the dose-response relationship between hydration status and the risk of T2D. Over a median 12.22-year follow-up time, 11,804 of the participants developed T2D. Compared with the optimal hydration-status group, participants with dehydration and severe dehydration had a significantly increased risk of diabetes, with adjusted hazard ratios (95% CI) of 1.30 (1.04-1.63) and 1.38 (1.10-1.74). Time-dependent analyses further confirmed the adverse effects of impending dehydration, dehydration, and severe dehydration on T2D incidence by 16%, 26%, and 33% compared with the reference group. Inadequate hydration is significantly associated with increased risks of T2D among Chinese adults. Our findings provided new epidemiological evidence and highlighted the potential role of adequate hydration status in the early prevention of T2D development.

Challenges and pitfalls of youth-onset type 2 diabetes

The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) are increasing. The rise in frequency and severity of childhood obesity, inclination to sedentary lifestyle, and epigenetic risks related to prenatal hyperglycemia exposure are important drivers of the youth-onset T2DM epidemic and might as well be responsible for the early onset of diabetes complications. Indeed, youth-onset T2DM has a more extreme metabolic phenotype than adult-onset T2DM, with greater insulin resistance and more rapid deterioration of beta cell function. Therefore, intermediate complications such as microalbuminuria develop in late childhood or early adulthood, while end-stage complications develop in mid-life. Due to the lack of efficacy and safety data, several drugs available for the treatment of adults with T2DM have not been approved in youth, reducing the pharmacological treatment options. In this mini review, we will try to address the present challenges and pitfalls related to youth-onset T2DM and summarize the available interventions to mitigate the risk of microvascular and macrovascular complications.

Association between age at diagnosis and all-cause mortality in type 2 diabetes: the Renal Insufficiency and Cardiovascular Events (RIACE) Italian Multicenter Study

AIMS

It is unclear whether type 2 diabetes diagnosed in young adulthood is associated with increased severity than that occurring later in life beyond longer lifetime exposure to hyperglycemia. This study aimed at assessing the independent association of age at type 2 diabetes diagnosis with all-cause mortality.

METHODS

This prospective cohort study enrolled 15,773 Caucasian patients with type 2 diabetes in 19 Italian centers in 2006-2008. Cardiometabolic risk profile and presence of complications and comorbidities were assessed at baseline and participants were stratified by quartiles of age at diabetes diagnosis. All-cause mortality was verified on 31 October 2015.

RESULTS

Valid information on vital status was retrieved for 15,656 participants (99.3%). Patients in the lowest quartile had the longest diabetes duration, the worst glycemic control and the highest prevalence of insulin treatment, obesity, atherogenic dyslipidemia, and smoking habits. All complications were inversely associated with age at diabetes diagnosis after adjustment for age and sex, but not after further adjustment for diabetes duration. Percentages of death, Kaplan-Meier estimates, and unadjusted hazard ratios and mortality rates increased from the lowest to the highest quartile. In contrast, when adjusting for age and sex, participants falling in the lowest quartile, showed the highest mortality risk [hazard ratio 1.321 (95% confidence interval 1.196-1.460), P < 0.0001]. However, differences among quartiles disappeared after adjustment for diabetes duration, complications/comorbidities, or other cardiovascular risk factors.

CONCLUSIONS

Type 2 diabetes onset in young adulthood is associated with increased mortality that is mainly driven by longer diabetes duration favoring the development of complications.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00715481, retrospectively registered 15 July, 2008.

Increased Risk of Cardiometabolic Disease in Ideal Weight Adults With History of Overweight/Obesity in China: A Prospective Cohort Study

BACKGROUND

Overweight and obesity represent critical modifiable determinants in the prevention of cardiometabolic disease (CMD). However, the long-term impact of prior overweight/obesity on the risk of CMD in later life remains unclear. We aimed to investigate the association between longitudinal transition of body mass index (BMI) status and incident CMD.

METHODS AND RESULTS

This prospective cohort study included 57 493 CMD-free Chinese adults from the Kailuan Study. BMI change patterns were categorized according to the BMI measurements obtained during the 2006 and 2012 surveys. The primary end point was a composite of myocardial infarction, stroke, and type 2 diabetes. Cox regression models were used to evaluate the associations of transitions in BMI with overall CMD events and subtypes, with covariates selected on the basis of the directed acyclic graph. During a median follow-up of 7.62 years, 8412 participants developed CMD. After considering potential confounders, weight gain pattern (hazard ratio [HR], 1.34 [95% CI, 1.23-1.46]), stable overweight/obesity (HR, 2.12 [95% CI, 2.00-2.24]), and past overweight/obesity (HR, 1.73 [95% CI, 1.59-1.89]) were associated with the incidence of CMD. Similar results were observed in cardiometabolic multimorbidity, cardiovascular disease, and type 2 diabetes. Additionally, triglyceride and systolic blood pressure explained 8.05% (95% CI, 5.87-10.22) and 12.10% (95% CI, 9.19-15.02) of the association between past overweight/obesity and incident CMD, respectively.

CONCLUSIONS

A history of overweight/obesity was associated with an increased risk of CMD, even in the absence of current BMI abnormalities. These findings emphasize the necessity for future public health guidelines to include preventive interventions for CMD in individuals with past overweight/obesity.

Incident Cancer Risk in Patients with Incident Type 2 Diabetes Mellitus in Hungary (Part 1)

(1) Background: Patients with type 2 diabetes mellitus (T2DM) are at higher risk of cancer but how these two diseases associate is still debated. The goal of this study was the assessment of the overall incidence of cancer among patients with newly diagnosed T2DM in Hungary. (2) Methods: A nationwide, retrospective, longitudinal study was performed using a Hungarian database. After exclusion of cases of age < 18 years, with gestational diabetes, with polycystic ovary syndrome, and with type 1 and prevalent type 2 diabetes mellitus, the incident T2DM (approx. 50,000 cases yearly) and for comparison, the diabetes-free Hungarian adult population (approx. 7,000,000 cases yearly) was included in the study. The primary endpoints were the overall and site-specific incidence and annual percentage change of the incidence of cancer in both populations. (3) Results: The overall incidence of cancer in patients amounted to 29.4/1000 and 6.6/1000 with or without T2DM, respectively, and the OR (95%CI) of cancer of the T2DM group was 4.32 (4.14-4.53), p < 0.0001. The risk of having cancer was age dependent. The incidence of cancer was declining in the non-diabetic but was unchanged in the T2DM population. The average lag time of diagnosing cancer after the detection of T2DM was 3.86 months. (4) Conclusions: Incident T2DM is associated with a significantly higher overall risk of incident cancer, with a reverse correlation of age. Newly registered T2DM patients were suggested to be screened for cancer within 6 months.

Arterial stiffness and risk of new-onset fragility fracture in Chinese men and women: The Kailuan cohort study

BACKGROUND

Previous studies have shown an association between increased arterial stiffness and reduced bone mineral density. However, the relationship between arterial stiffness and fragility fracture remains unclear. In this study, we explored the impact of arterial stiffness on the risk of new-onset fragility fracture.

METHODS

The study included 53,107 participants in the Kailuan Study in whom brachial-ankle pulse wave velocity (baPWV) measurements were obtained between 2010 and 2021. All participants were free of fragility fractures at baseline. A Cox proportional hazard regression model was used to estimate the hazard ratio (HR) and 95 % confidence interval (CI) for incident fragility fracture on the baseline baPWV groups: <1400 cm/s (reference), 1400 ≤ baPWV < 1800 cm/s, and ≥1800 cm/s.

RESULTS

In total, 327 incident fragility fractures were recorded during an average follow-up of 4.99 ± 3.02 years. After adjustment for potential confounders, the HR for the risk of new-onset fragility fracture was 1.66 (95 % CI 1.14-2.42) for the arterial stiffness group in comparison with the normal baPWV group. The risk of fragility fracture was higher in men (HR 1.64, 95 % CI 1.05-2.57). There was a linear association between higher baPWV and fragility fracture.

CONCLUSIONS

Arterial stiffness as measured by baPWV was associated with the risk of fragility fracture.

Low Awareness of Diabetes as a Major Risk Factor for Cardiovascular Disease in Middle- and High-Income Countries

OBJECTIVE

Awareness of diabetes as a major risk factor for cardiovascular disease (CVD) may enhance uptake of screening for diabetes and primary prevention of CVD.

RESEARCH DESIGN AND METHODS

The American Heart Association conducted an online survey in 50 countries. The main outcome of this study was the proportion of individuals in each country who recognized diabetes as a CVD risk factor. We also examined variation by sex, age, geographic region, and country-level economic development.

RESULTS

Among 48,988 respondents, 15,747 (32.1%) identified diabetes as a major CVD risk factor. Awareness was similar among men and women, but increased with age, and was greater in high-income than in middle-income countries.

CONCLUSIONS

Two-thirds of adults in surveyed countries did not recognize diabetes as a major CVD risk factor. Given the increasing global burden of diabetes and CVD, this finding underscores the need for concerted efforts to raise public health awareness.

Fragmented QRS as a Predictor of Cardiovascular Events in Patients with Type 2 Diabetes Mellitus: A 36-Month Follow-Up Data

BACKGROUND

Major cardiovascular events (MACE) are more common in type 2 diabetes mellitus (T2DM) patients, and early diagnosis can prevent significant morbidity and mortality. The aim of this study was to investigate the predictiveness of fragmented QRS (fQRS) showing MACE in T2DM patients.

METHODS

A total of 227 T2DM patients (mean age 52, 51% male) without any cardiovascular disease who came to the cardiology outpatient clinic between March 01 and July 31, 2019, were included in the study. The patients were divided into 2 groups according to fQRS on electrocardiography (ECG), and 36 months of follow-up was done. The development of acute coronary syndrome, coronary revascularization, and cerebrovascular accident were accepted as MACE.

RESULTS

More MACE was seen in the group with fQRS on ECG (P =.026). Although there were more fQRS in patients with proteinuria, it was not statistically significant (P =.069). More myocardial infarcts (7.9%) and more cerebrovascular events (6.3%) were seen in the group with fQRS. While revascularization was performed on 3 patients in the fQRS group, revascularization was not performed on the patients in the non-fqrs group. In multiple Cox regression analysis, fQRS showed an independent predictor of MACE [P =.025, hazard ratio = 2.42 (1.117-5.221)], more MACE was seen in the fQRS (+) group in the kaplan-meier analysis (P =.022).

CONCLUSION

More MACE was seen in the fQRS group in T2DM patients without a previous history of cardiovascular events. Fragmented QRS was found to be an independent predictor in showing MACE. Care should be taken in terms of MACE development in T2DM patients with fQRS.

Association Between Age at Diabetes Diagnosis and Subsequent Incidence of Cancer: A Longitudinal Population-Based Cohort

OBJECTIVE

Diabetes presenting at a younger age has a more aggressive nature. We aimed to explore the association of age at type 2 diabetes mellitus (T2DM) diagnosis with subsequent cancer incidence in a large Chinese population.

RESEARCH DESIGN AND METHODS

The prospective population-based longitudinal cohort included 428,568 newly diagnosed T2DM patients from 2011 to 2018. Participants were divided into six groups according to their age at diagnosis: 20-54, 55-59, 60-64, 65-69, 70-74, and ≥75 years. The incidence of overall and 14 site-specific cancers was compared with the Shanghai general population including 100,649,346 person-years.

RESULTS

A total of 18,853 and 582,643 overall cancer cases were recorded in the T2DM cohort and the general population. The age-standardized rate of overall cancer in T2DM patients was 501 (95% CI: 491, 511) per 100,000 person-years, and the standardized incidence ratio (SIR) was 1.10 (1.09, 1.12). Younger age at T2DM diagnosis was associated with higher incidence of overall and site-specific cancers. SIRs for overall cancer with T2DM diagnosis at ages 20-54, 55-59, 60-64, 65-69, 70-74, and ≥75 years were 1.48 (1.41, 1.54), 1.30 (1.25, 1.35), 1.19 (1.15, 1.23), 1.16 (1.12, 1.20), 1.06 (1.02, 1.10), and 0.86 (0.84, 0.89), respectively. Similar trends were observed for site-specific cancers, including respiratory, colorectum, stomach, liver, pancreatic, bladder, central nervous system, kidney, and gallbladder cancer and lymphoma among both males and females.

CONCLUSIONS

Our findings highlight the necessity of stratifying management for T2DM according to age of diagnosis. As with a range of vascular outcomes, age-standardized cancer risks are greater in earlier compared with later onset T2DM.

Association between age at diagnosis of type 2 diabetes and cardiovascular morbidity and mortality risks: A nationwide population-based study

AIMS

We aimed to investigate the association between the age at diagnosis of type 2 diabetes and the risk of cardiovascular (CVD) outcomes in comparison with nondiabetic counterparts.

METHODS

A total of 634,350 patients with newly diagnosed type 2 diabetes between January 1, 2012, and December 31, 2014 were included in a Korean population cohort study. Nondiabetic matched controls were selected from the general population in a 1:2 ratio. Participants were followed until the end of 2019 for CVD outcomes and mortality.

RESULTS

During 5.7 years of follow-up, patients with type 2 diabetes diagnosed at ≤40 years of age had the highest excess risk for most outcomes relative to controls, with an adjusted hazard ratio (HR) (95 % CI) of 6.08 (5.51-6.70) for total mortality, 7.10 (6.66-7.58) for hospitalization for heart failure, and 5.04 (4.86-5.24) for coronary heart disease. All risks attenuated progressively with each increasing decade of diagnostic age.

CONCLUSION

In this population-based cohort study, a younger age at diagnosis of type 2 diabetes was associated with a higher relative risk of mortality and CVD outcomes. Therefore, primary prevention of type 2 diabetes is desirable at all ages but is particularly important at younger ages.

Effect of 10-year cumulative blood pressure exposure on atherosclerotic cardiovascular disease of different age groups: kailuan cohort study

Background

The level at which cumulative blood pressure (BP) can increase the risk of ASCVD in different age groups remains unclear. This study aimed to investigate the association of 10-year cumulative BP levels with the long-term risk of ASCVD of different age groups.

Methods

Cumulative BP exposure was assessed using the time-weighted average (TWA) BP divided into four BP groups. The participants were also divided into four groups according to their baseline age (<50, 50-59, 60-69, or ≥70 years). The association between TWA BP and the risk of ASCVD was assessed by age group using multivariate Cox models. The China-PAR prediction model was used to assess the ability of TWA BP to predict ASCVD.

Results

In the group aged <50 years, the hazard ratios and 95% confidence intervals for the risk of ASCVD were 2.66 (1.04-6.80), 3.38 (1.54-7.43), and 3.13 (1.36-7.24) for the elevated BP, stage 1 hypertension, and stage 2 hypertension groups, respectively, when compared with the normal BP group. There was a significant difference in the risk of ASCVD between the age groups, with participants aged <50 years having the highest risk, followed by those aged 50-59, 60-69, and ≥70 years.

Conclusions

The risk of ASCVD with high cumulative BP exposure was age-dependent, with a gradual decrease in risk with increasing age.

Cardiovascular disease risk in early-onset vs late-onset type 2 diabetes in China: A population-based cross-sectional study

BACKGROUND

This study investigated the effects of early-onset type 2 diabetes (EOD) vs late-onset type 2 diabetes (LOD) on nonfatal cardiovascular diseases (CVD) in China.

METHODS

We conducted a cross-sectional survey of 46 239 participants from 14 provinces in China from 2007 to 2008, selecting 4949 participants with type 2 diabetes for analysis. Participants were categorized as EOD (<40 years) or LOD (≥40 years) based on age at diabetes diagnosis. Sociodemographic and nonfatal CVD information was collected through an interviewer-assisted questionnaire and clinical examination. Logistic regression analysis was used to investigate the nonfatal CVD risk.

RESULTS

Out of 4949 participants with type 2 diabetes, 390 (7.88%) had nonfatal CVD. Participants with EOD had a higher age-standardized prevalence of nonfatal CVD than those with LOD (11.4% vs 4.4%). Compared to LOD patients, EOD patients tended to be males and had a higher family history of diabetes, unhealthy lifestyle behaviors, and lower blood pressure levels. After adjustment for age and sex, EOD patients had a higher risk of nonfatal CVD than LOD patients (odds ratio [OR] 2.3, 95% CI 1.5-3.5). After further adjustment for diabetes duration, use of drugs, and other risk factors, the OR of nonfatal CVD was reduced but significant (OR 1.8, 95% CI 1.1-2.9). Sensitivity analysis revealed that EOD patients with metabolic syndrome had an increased nonfatal CVD risk compared to LOD patients (OR 2.0, 95% CI 1.2-3.5).

CONCLUSIONS

EOD patients are at increased risk of nonfatal CVD. Individualized intervention and management measures for EOD patients are necessary.

Development of machine learning-based models to predict 10-year risk of cardiovascular disease: a prospective cohort study

BACKGROUND

Previous prediction algorithms for cardiovascular diseases (CVD) were established using risk factors retrieved largely based on empirical clinical knowledge. This study sought to identify predictors among a comprehensive variable space, and then employ machine learning (ML) algorithms to develop a novel CVD risk prediction model.

METHODS

From a longitudinal population-based cohort of UK Biobank, this study included 473 611 CVD-free participants aged between 37 and 73 years old. We implemented an ML-based data-driven pipeline to identify predictors from 645 candidate variables covering a comprehensive range of health-related factors and assessed multiple ML classifiers to establish a risk prediction model on 10-year incident CVD. The model was validated through a leave-one-center-out cross-validation.

RESULTS

During a median follow-up of 12.2 years, 31 466 participants developed CVD within 10 years after baseline visits. A novel UK Biobank CVD risk prediction (UKCRP) model was established that comprised 10 predictors including age, sex, medication of cholesterol and blood pressure, cholesterol ratio (total/high-density lipoprotein), systolic blood pressure, previous angina or heart disease, number of medications taken, cystatin C, chest pain and pack-years of smoking. Our model obtained satisfied discriminative performance with an area under the receiver operating characteristic curve (AUC) of 0.762±0.010 that outperformed multiple existing clinical models, and it was well-calibrated with a Brier Score of 0.057±0.006. Further, the UKCRP can obtain comparable performance for myocardial infarction (AUC 0.774±0.011) and ischaemic stroke (AUC 0.730±0.020), but inferior performance for haemorrhagic stroke (AUC 0.644±0.026).

CONCLUSION

ML-based classification models can learn expressive representations from potential high-risked CVD participants who may benefit from earlier clinical decisions.

Associations of Clinical Risk Factors and Novel Biomarkers With Age at Onset of Type 2 Diabetes

CONTEXT

Younger onset of type 2 diabetes (T2D) was associated with higher risks of vascular complications and mortality.

OBJECTIVE

To prospectively assess risk profiles for incident T2D stratified by age at onset.

METHODS

A total of 471 269 participants free of T2D at baseline were included from the UK Biobank. Approximately 70 clinical, lipid, lipoprotein, inflammatory, and metabolic markers, and genetic risk scores (GRSs) were analyzed. Stratified Cox proportional-hazards regression models were used to estimate hazard ratios (HRs) for T2D with age of diagnosis divided into 4 groups (≤50.0, 50.1-60.0, 60.1-70.0, and >70.0 years).

RESULTS

During 11 years of follow-up, 15 805 incident T2D were identified. Among clinical risk factors, obesity had the highest HR at any age, ranging from 13.16 (95% CI, 9.67-17.91) for 50.0 years and younger to 4.13 (3.78-4.51) for older than 70.0 years. Other risks associated with T2D onset at age 50.0 years and younger included dyslipidemia (3.50, 2.91-4.20), hypertension (3.21, 2.71-3.80), cardiovascular disease (2.87, 2.13-3.87), parental history of diabetes (2.42, 2.04-2.86), education lower than college (1.89, 1.57-2.27), physical inactivity (1.73, 1.43-2.10), smoking (1.38, 1.13-1.68), several lipoprotein particles, inflammatory markers, liver enzymes, fatty acids, amino acids, as well as GRS. Associations of most risk factors and biomarkers were markedly attenuated with increasing age at onset (P interaction <.05), and some were not significant for onset at age older than 70.0 years, such as smoking, systolic blood pressure, and apolipoprotein B.

CONCLUSION

Most risk factors or biomarkers had stronger relative risks for T2D at younger ages, which emphasizes the necessity of promoting primary prevention among younger individuals. Moreover, obesity should be prioritized.

Association Between New-Onset Type 2 Diabetes and Cardiac Conduction Diseases: A Prospective Cohort Study

BACKGROUND

Cardiac conduction diseases can lead to life-threatening outcomes. However, the evidence on risk factors for conduction disease that is needed to underpin prevention strategies is limited. The present study aimed to determine the association between type 2 diabetes and cardiac conduction diseases.

METHODS AND RESULTS

This study included 101 080 participants free of prevalent diabetes and cardiac conduction diseases at baseline from the Kailuan Study. All participants were monitored biennially until December 31, 2020. During follow-up, 14 397 participants were diagnosed as having type 2 diabetes. For each case subject, 1 control subject was randomly selected, matched for age (±1 year) and sex. The final analysis comprised 10 744 case-control pairs. Cox regression models with age as the underlying time scale were used. During a median follow-up of 5.46 years, 571 incident events occurred, including 164 atrioventricular blocks, 414 bundle-branch blocks (BBBs), 274 right BBBs, and 210 left BBBs. After adjustment for potential confounders, participants with type 2 diabetes diagnosed had greater relative risks for most outcomes relative to controls, with hazard ratios of 1.42 (95% CI, 1.18-1.67) for conduction diseases, 1.40 (95% CI, 1.00-1.96) for atrioventricular blocks, 1.43 (95% CI, 1.16-1.75) for BBBs, and 1.69 (95% CI, 1.15-2.49) for left BBBs. In contrast, no association between diabetes and right BBB was observed.

CONCLUSIONS

In this study, participants with type 2 diabetes are at an increased risk of cardiac conduction disease but not associated with the development of right BBB.

Visit-to-visit blood pressure variability and the risk of cardiovascular disease: a prospective cohort analysis

Large blood pressure (BP) variability contributed to subclinical brain disease thus may be implicated in the development of cardiovascular disease (CVD). This study included 64,810 CVD-free participants who attended the first two examinations from the Kailuan study to investigate the association of BP variation, considering its magnitude, direction, and time interval prior to CVD diagnosis, with the risk of CVD in Chinese population. Magnitude and directional BP variability was calculated as absolute BP difference or BP difference value divided by mean BP over 2 sequential visits, respectively. During a median follow-up of 10.91 years, a total of 4129 cases of CVD. A large SBP variability (the highest vs the lowest tertile) was associated with a higher risk of CVD (adjusted HR, 1.31; 95% CI, 1.22-1.41). The associations were stronger with longer time intervals, the hazard ratio (HR) with 95% confidence interval (CI) for CVD was 1.30 (95% CI, 1.20-1.39) at 1 years, 1.32 (1.18-1.40) at 3 years, and 1.34 (1.20-1.45) at 5 years. For directional SBP variability, rise in SBP was associated with an increased risk of CVD (HR, 6.17; 95% CI, 5.65-6.75), while fall in SBP was associated with a decreased risk of CVD (HR, 0.52; 95% CI, 0.46-0.59). Subgroup analysis showed the significant associations were only observed in men (Pint = 0.0010). Similar patterns were observed for DBP variability and CVD subtypes. The results indicated that a large SBP variation in rise direction was associated with an increased risk of incident CVD, especially in men.

Transitions in Metabolic Health and Onset Age of Cardiovascular Diseases

INTRODUCTION

The cardiometabolic risk associated with metabolically healthy obesity remains the subject of debate. It is unclear whether changes in metabolically healthy obesity status affect premature cardiovascular disease (CVD) risk. Authors aimed to investigate the association of metabolically healthy obesity and its transition over time with incident CVD by age at onset.

METHODS

In a community-based, prospective cohort study, 54,441 adults without CVD in or before 2010 were followed for incident CVD until 2020. This sample was analyzed in 2022. Four age groups were examined (<55, 55-65, 65-75, and ≥75 years) for CVD onset. In each age group, participants were cross-classified by BMI categories and metabolic health. The Cox proportional hazards model with age as the underlying time scale was used to examine the associations of metabolic health status and its transition with CVD across BMI categories.

RESULTS

During a median follow-up of 9.59 years, 3,038 participants developed CVD. Individuals with metabolically unhealthy obesity at baseline had the highest hazard ratio for CVD onset at any age, ranging from 2.68 (95% CI=2.02, 3.55) for CVD onset in those aged <55 years to 1.55 (95% CI=1.09, 2.10) for CVD onset in those aged ≥75 years. Individuals who had metabolically healthy obesity at baseline or even remained metabolically healthy during 2006-2010 were still at increased risk of premature CVD, and the association attenuated with increasing age of CVD onset.

CONCLUSIONS

The metabolically healthy obesity phenotype is dynamic and its transition to a metabolically unhealthy phenotype or even stable metabolically healthy obesity is associated with an increased risk of CVD. The associations were more evident for CVD onset at younger ages.

Excessive weight gain onset-age and risk of developing diabetes mellitus: a large, prospective Chinese cohort study

Background

Excessive weight gain and obesity are widely accepted as risk factors for diabetes mellitus, and the age at which obesity onsets may be related to the development of cardiovascular diseases and certain cancers. Here, we aimed to investigate associations between the onset-age of overweight/obesity and risk of developing diabetes mellitus in China.

Methods

42,144 people with the normal weight range and without diabetes at baseline, were enrolled from the Kailuan cohort which began on the 1st June 2006. All participants were followed-up, biennially, until 31st December 2017. During follow-up, 11,220 participants had become overweight/obese. For each case, one normal-weight control was matched according to age ( ± 1 year) and sex. Our final analysis included 10,858 case-control pairs. An age-scaled Cox model was implemented to estimate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for diabetes mellitus incidence across age-groups.

Results

At a median follow-up of 5.46 years, 1,403 cases of diabetes mellitus were identified. After multivariate adjustments, age-scaled Cox modelling suggested that risk gradually attenuated with every 10 year increase in age of onset of overweight/obesity. Diabetes mellitus adjusted HRs (aHRs) for new-onset overweight/obesity at <45years, 45-54 years, and 55-64 years were 1.47 (95%CI, 1.12-1.93), 1.38 (95%CI, 1.13-1.68), 1.32 (95%CI, 1.09-1.59), respectively. However, new-onset of overweight/obesity at ≥65 years did not relate to diabetes mellitus (aHR, 1.20; 95%CI, 0.92-1.57). This trend was not observed in women or the new-onset obesity subgroup but was evident in men and the new overweight onset subgroup.

Conclusion

Participants with early onset of excessive weight gain issues are at considerably higher risk of developing diabetes mellitus compared to those who maintain a normal weight.

Relationship between the cumulative exposure to atherogenic index of plasma and ischemic stroke: a retrospective cohort study

BACKGROUND

Atherogenic index of plasma (AIP) has been demonstrated as a surrogate marker for ischemic stroke, but there is limited evidence for the effect of long-term elevation of AIP on ischemic stroke. Therefore, we aimed to characterize the relationship between cumulative exposure to AIP and the risk of ischemic stroke.

METHODS

A total of 54,123 participants in the Kailuan Study who attended consecutive health examinations in 2006, 2008, and 2010 and had no history of ischemic stroke or cancer were included. The time-weighted cumulative AIP (cumAIP) was calculated as a weighted sum of the mean AIP values for each time interval and then normalized to the total duration of exposure (2006-2010). Participants were divided into four groups according to quartile of cumAIP: the Q1 group, ≤-0.50; Q2 group, - 0.50 to - 0.12; Q3 group, - 0.12 to 0.28; and Q4 group, ≥ 0.28. Cox proportional hazard models were used to evaluate the relationship between cumAIP and ischemic stroke by calculating hazard ratios (HRs) and 95% confidence intervals (95% CIs).

RESULTS

After a median follow-up of 11.03 years, a total of 2,742 new ischemic stroke events occurred. The risk of ischemic stroke increased with increasing quartile of cumAIP. After adjustment for potential confounders, Cox regression models showed that participants in the Q2, Q3, and Q4 groups had significantly higher risks of ischemic stroke than those in the Q1 group. The HRs (95% CIs) for ischemic stroke in the Q2, Q3, and Q4 groups were 1.17 (1.03, 1.32), 1.33 (1.18, 1.50), and 1.45 (1.28, 1.64), respectively. The longer duration of high AIP exposure was significantly associated with increased ischemic stroke risk.

CONCLUSIONS

High cumulative AIP is associated with a higher risk of ischemic stroke, which implies that the long-term monitoring and maintenance of an appropriate AIP may help prevent such events.

Association of the age of onset of metabolic syndrome with the risk of all cancer types

BACKGROUND

The association between the age at onset of metabolic syndrome and cancer risk remains unknown. This study explored the association between age at metabolic syndrome onset and the risk of overall and site-specific cancer incidence.

METHODS

This study included 31,688 participants with new-onset metabolic syndrome and 31,688 participants matched according to sex, age (±1 y), and examination year among the 179,328 participants who underwent Kailuan health examinations from 2006 to 2017 in Tangshan, China. Weighted Cox regression was used to calculate the hazard ratios and 95% confidence intervals of new-onset metabolic syndrome for overall and site-specific cancer incidence across age groups. Population-attributable risk proportions were used to estimate the number of cases that could be prevented by eliminating the risk factors from the population.

RESULTS

During an average follow-up period of 10.22 y, we identified 2,710 cases of cancer and 4,218 deaths that occurred before the diagnosis of cancer. With an increase in metabolic syndrome onset age, the hazards of overall cancer incidence were gradually attenuated. The average hazard ratios (95% confidence intervals) of overall cancer were 1.94 (1.25-2.99) for metabolic syndrome onset age <45 year old, 1.41 (1.15-1.71) for age 45-54 years old, 1.38 (1.11-1.73) for age 55-64 years old, and 1.07 (0.89-1.28) for age ≥65 years old, respectively (p for interaction = 0.005). Similar results were obtained for colorectal, liver, and breast cancers in the site-specific analysis.

CONCLUSIONS

New-onset metabolic syndrome was associated with a higher risk of overall cancer and incidence of several types of cancer, and the associations were stronger with a younger age of onset.

TRIAL REGISTRATION

Kailuan Study, ChiCTR2000029767 (Registered February 12, 2020, https://www.chictr.org.cn/showprojEN.html?proj=48316).

Age at Type 2 Diabetes Diagnosis and Cause-Specific Mortality: Observational Study of Primary Care Patients in England

OBJECTIVE

To examine the associations between age at type 2 diabetes diagnosis and the relative and absolute risk of all-cause and cause-specific mortality in England.

RESEARCH DESIGN AND METHODS

In this cohort study using primary care data from the Clinical Practice Research Datalink, we identified 108,061 individuals with newly diagnosed type 2 diabetes (16-50 years of age), matched to 829,946 individuals without type 2 diabetes. We estimated all-cause and cause-specific mortality (cancer, cardiorenal, other [noncancer or cardiorenal]) by age at diagnosis, using competing-risk survival analyses adjusted for key confounders.

RESULTS

Comparing individuals with versus without type 2 diabetes, the relative risk of death decreased with an older age at diagnosis: the hazard ratio for all-cause mortality was 4.32 (95% CI 3.35-5.58) in individuals diagnosed at ages 16-27 years compared with 1.53 (95% CI 1.46-1.60) at ages 48-50 years. Smaller relative risks by increasing age at diagnosis were also observed for cancer, cardiorenal, and noncancer or cardiorenal death. Irrespective of age at diagnosis, the 10-year absolute risk of all-cause and cause-specific mortality were higher in individuals with type 2 diabetes; yet, the absolute differences were small.

CONCLUSIONS

Although the relative risk of death in individuals with versus without type 2 was higher at younger ages, the 10-year absolute risk of all investigated causes of death was small and similar in the two groups. Further multidecade studies could help estimate the long-term risk of complications and death in individuals with early-onset type 2 diabetes.

Obesity and Cardiac Conduction Block Disease in China

Importance

Although a high body mass index (BMI) has been found to be associated with increased risk of cardiac conduction block (CCB) in older adults, no further studies have investigated the association between obesity and CCB in the general population.

Objective

To investigate the association between obesity and CCB, including its subtypes.

Design, Setting, and Participants

This cohort study used data from participants in the Kailuan Study in China (2006-2018) who had completed a physical examination in 2006 (baseline) and had not experienced CCB before baseline. Data analysis was conducted from March to September 2023.

Exposures

Obesity status was defined by BMI in 3 groups: normal weight (18.5 to <24), overweight (24 to <28), and obesity (≥28).

Main Outcome and Measures

The primary outcome was CCB, which was diagnosed from standard 12-lead electrocardiography. The primary end point included high-grade atrioventricular block (HAVB), complete right bundle branch block, complete left bundle branch block, left anterior fascicular block (LAFB), and left posterior fascicular block. First-degree atrioventricular block (FAVB), second-degree type 1 AVB, HAVB, complete and incomplete right and left bundle branch block, LAFB, and left posterior fascicular block were considered separately as secondary end points.

Results

Among 86 635 participants (mean [SD] age, 50.8 [11.9] years; 68 205 males [78.7%]), there were 33 259 individuals with normal weight (38.4%), 37 069 individuals with overweight (42.8%), and 16 307 individuals with obesity (18.8%). The mean (SD) follow-up was 10.6 (3.07) years. In the multivariable Cox proportional hazards regression analysis, obesity was associated with an increased risk of incident CCB (hazard ratio [HR], 1.21; 95% CI, 1.04-1.42) vs normal BMI. In secondary analysis, obesity was associated with an increased risk of FAVB (HR, 1.44; 95% CI, 1.21-1.73), HAVB (HR, 1.99; 95% CI, 1.03-3.82), and LAFB (HR, 1.29; 95% CI, 1.03-1.62) vs normal BMI. There was no association between obesity and other CCB subtypes. Obesity was associated with a greater increase in risk of CCB vs normal BMI in older (aged ≥65 years; HR, 1.44; 95% CI, 1.05-1.96) vs younger (aged <65 years; HR, 1.13; 95% CI, 0.96-1.34) participants (P for interaction < .001) and those with diabetes (HR, 2.16; 95% CI, 1.24-3.76) vs without diabetes (HR, 1.19; 95% CI, 1.02-1.39) (P for interaction = .02).

Conclusions and Relevance

This study found that obesity was associated with an increased risk of CCB, with greater increases in risk for FAVB, HAVB, and LAFB. Individuals who were older and those who had diabetes had larger increases in risk.

10-Year Cardiovascular Risk in Patients With Newly Diagnosed Type 2 Diabetes Mellitus

BACKGROUND

Contemporary data on cardiovascular disease (CVD) risk in patients with newly diagnosed type 2 diabetes mellitus (T2DM) is needed to guide appropriate preventive management.

OBJECTIVES

The authors sought to investigate sex- and age-specific 10-year CVD risk in patients with newly diagnosed T2DM compared with the general population.

METHODS

A cohort study was conducted of all Danish patients with T2DM diagnosed between 2006 and 2013 (n = 142,587) and sex- and age-matched individuals from the general population (n = 388,410), all without prior atherosclerotic CVD. Ten-year CVD risk (myocardial infarction, stroke, and fatal CVD) was estimated.

RESULTS

A total of 52,471 CVD events were recorded. Compared with the general population, the 10-year CVD risks were higher in patients with T2DM in both sexes and across all age groups, especially among younger individuals. For example, patients aged 40 to 49 years had the largest 10-year CVD risk difference (T2DM 6.1% vs general population 3.3%; risk difference: 2.8%, subdistribution HR: 1.91; 95% CI: 1.76-2.07). The age when a given CVD risk was reached differed substantially between the cohorts. Thus, a 10-year CVD risk of 5% was reached at age 43 in men with T2DM compared with 12 years later, at age 55, in men without T2DM. A 10-year CVD risk of 5% was reached at age 51 in women with T2DM and 10 years later, at age 61, in women without T2DM.

CONCLUSIONS

Newly diagnosed T2DM increased 10-year CVD risk across both sexes and all age groups, especially among younger patients, with CVD occurring ≤12 years earlier than in general population individuals.

Prognostic Nutritional Index Combined with Triglyceride-Glucose Index to Contrast a Nomogram for Predicting Contrast-Induced Kidney Injury in Type 2 Diabetes Mellitus Patients with Acute Coronary Syndrome After Percutaneous Coronary Intervention

Objective

Our objective was to develop and validate a nomogram model aiming at predicting the risk of contrast-induced acute kidney injury (CI-AKI) following percutaneous coronary intervention (PCI) in patients suffering from type 2 diabetes mellitus (T2DM) and also diagnosed with acute coronary syndrome (ACS).

Methods

The study gathered data from 722 T2DM patients with ACS who received PCI treatment at the Affiliated Hospital of Xuzhou Medical University between February 2019 and December 2022, serving as the training set. Considering the validation set, the study included 217 patients who received PCI at the East Affiliated Hospital of Xuzhou Medical University. The patients were classified into CI-AKI and non-CI-AKI groups. The study employed univariate and multivariate logistic analysis for identifying independent risk factors for CI-AKI, followed by developing a predictive nomogram model for CI-AKI risk using R software. The predictive performance and clinical utility of the nomogram were assessed through internal and external validation, utilizing the areas under the receiver operating characteristic curve (AUC-ROC), the Hosmer-Lemeshow test and calibration correction curve, and decision curve analysis (DCA).

Results

The nomogram comprised four variables: age, estimated glomerular filtration rate (eGFR), triglyceride-glucose (TyG) index, and prognostic nutritional index (PNI). The AUC-ROC were 0.785 (95% confidence interval (CI) 0.729-0.841) and 0.802 (95% CI 0.699-0.905) for the training and validation cohorts, respectively, indicating a high discriminative ability of the nomogram. The calibration assessment and decision curve analysis have substantiated the strong concordance and clinical usefulness of the aforementioned.

Conclusion

The nomogram exhibits favorable discrimination and accuracy, enabling it to visually and individually identify pre-procedure high-risk patients, and possesses a predictive capacity regarding CI-AKI incidence after PCI in patients diagnosed with both T2DM and ACS.

Association Between Blood Calcium, Magnesium, and Non-alcoholic Fatty Liver Disease in Adults: a Cohort-Based Case-Control Study

Previous studies have shown that calcium (Ca), magnesium (Mg), and Ca/Mg ratio are associated with inflammation and metabolic disorders, but their relationship with non-alcoholic fatty liver disease (NAFLD) is unclear. Thus, we aimed to explore the association between Ca, Mg, Ca/Mg ratio, and NAFLD in Chinese adults. We conducted a case-control study based on the Kailuan Cohort in China, including 1816 cases and 1111 gender- and age-matched controls. Dose-response relationships between blood Ca, Mg, Ca/Mg ratio, and NAFLD were evaluated using restricted cubic splines. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. A negative association between blood Ca (overall association P < 0.001 and linear association P < 0.001) and NAFLD as well as Ca/Mg ratio (overall association P = 0.002 and linear association P = 0.024) and NAFLD was observed. Compared with the highest quartile, the adjusted OR (95% CI) for the lowest quartile of Ca and Ca/Mg ratio was 2.116 (1.679-2.667) and 1.358 (1.076-1.713), respectively. A U-shaped relationship was found for blood Mg and NAFLD, with the highest OR of 1.685 in the lowest quartile group when using the second quartile as a reference. Additionally, we observed the interaction between alanine aminotransferase and blood Ca (P = 0.024), total cholesterol (P = 0.017), low-density lipoprotein-cholesterol (P = 0.013), and blood Mg, as well as total cholesterol and Ca/Mg ratio (P = 0.014). Lower blood Ca and Ca/Mg ratio were significantly associated with the risk of NAFLD. Liver function or lipid metabolism parameters may modify their association, suggesting an individualized prevention strategy for NAFLD.

Current insights and emerging trends in early-onset type 2 diabetes

Type 2 diabetes diagnosed in childhood or early adulthood is termed early-onset type 2 diabetes. Cases of early-onset type 2 diabetes are increasing rapidly globally, alongside rising obesity. Compared with a diagnosis later in life, an earlier-onset diagnosis carries an unexplained excess risk of microvascular complications, adverse cardiovascular outcomes, and earlier death. Women with early-onset type 2 diabetes also have a higher risk of adverse pregnancy outcomes. The high burden of complications renders individuals with early-onset type 2 diabetes at future risk of multimorbidity and interventions to reverse these concerning trends should be a priority. Within the early-onset cohort, disease pathophysiology and interventions have been better studied in paediatric-onset (<19 years) type 2 diabetes compared to adults; however, young adults aged 19-39 years (a larger number proportionally) are not well characterised and are also invisible in the current evidence base supporting management, which is derived from trials in later-onset type 2 diabetes. Young adults with type 2 diabetes face challenges in self-management that older individuals are less likely to experience (being in education or of working age, higher diabetes distress, and possible obesity-related stigma and diabetes-related stigma). There is a major research gap as to the optimal strategies to deploy in managing type 2 diabetes in adolescents and young adults, given that current models of care appear to not work as well in this age group. In the face of manifold risk factors (obesity, female sex, social deprivation, non-White European ethnicity, and genetic risk factors) prevention strategies with tailored lifestyle interventions, where needed, are likely to have greater success, but more evidence is needed. In this Review, we draw on evidence from both adolescents and young adults to provide a contemporary update on the current insights and emerging trends in early-onset type 2 diabetes.

Mean arterial pressure trajectory with premature cardiovascular disease and all-cause mortality in young adults: the Kailuan prospective cohort study

Background

The association between mean arterial pressure (MAP) trajectory in young adults and risk of cardiovascular diseases (CVD) and all-cause mortality is not well-characterized. The objective of this study was to investigate the effects of different MAP trajectory on the risk of CVD and all-cause mortality among the young.

Methods

In the Kailuan cohort study, 19,171 participants aged 18-40 years were enrolled without CVD (including myocardial infarction, stroke, atrial fibrillation and heart failure). The potential hybrid model was used to fit different trajectory patterns according to longitudinal changes of MAP. Hazard ratios and 95% confidence intervals for risk of CVD and all-cause mortality were analyzed using Cox proportional hazard regression models for participants with different trajectories.

Results

Five distinct MAP trajectories were identified during 2006-2013. Each of the trajectories was labelled as low-stable, middle-stable, decreasing, increasing, or high-stable. With the low-stable trajectory group as the reference, the multivariate adjusted HR (95%CI) of CVD for the middle-stable, decreasing, increasing and high-stable groups were 2.49 (1.41-4.40), 5.18 (2.66-10.06), 5.91 (2.96-11.80) and 12.68 (6.30-25.51), respectively. The HR (95%CI) for all-cause deaths were 1.27 (0.84-1.94), 2.01 (1.14-3.55), 1.96 (1.04-4.3.72), and 3.28 (1.69-6.37), respectively.

Conclusion

In young adults, MAP trajectories were associated with the risk of CVD or all-cause mortality and increasing MAP trajectories within the currently designated "normal" range may still increase the risk for CVD.

Higher risk of adverse cardiovascular outcomes in females with type 2 diabetes Mellitus: an Umbrella review of systematic reviews

BACKGROUND

Previous studies have shown that females with type 2 diabetes mellitus (T2DM) may have excess mortality risk compared to their male counterparts. An important next step to address the high global burden of T2DM and cardiovascular disease (CVD) is an umbrella review to summarize data on sex differences in cardiovascular outcomes for patients with T2DM and assess the strength of the evidence observed.

METHODS AND RESULTS

Medline and Embase were searched from inception till 7 August 2022 for systematic reviews and meta-analyses studying the effects of sex on cardiovascular outcomes in T2DM patients. Results from reviews were synthesized with a narrative synthesis, with a tabular presentation of findings and forest plots for reviews that performed a meta-analysis. 27 review articles evaluating sex differences in cardiovascular outcomes were included. Females with T2DM had a higher risk of developing coronary heart disease (CHD; RRR: 1.52, 95%CI: 1.32-1.76, P < 0.001), acute coronary syndrome (ACS; RRR: 1.38, 95%CI: 1.25-1.52, P < 0.001), heart failure (RRR: 1.09, 95%CI: 1.05-1.13, P < 0.001) than males. Females had a higher risk of all-cause mortality (RRR: 1.13, 95%CI: 1.07-1.19, P < 0.001), cardiac mortality (RRR: 1.49, 95%CI: 1.11-2.00, P = 0.009) and CHD mortality (RRR: 1.44, 95%CI: 1.20-1.73, P < 0.001) as compared to males.

CONCLUSIONS

This umbrella review demonstrates that females with T2DM have a higher risk of cardiovascular outcomes than their male counterparts. Future research should address the basis of this heterogeneity and epidemiological factors for better quality of evidence, and identify actionable interventions that will narrow these sex disparities.

New-Onset Age of Nonalcoholic Fatty Liver Disease and Cancer Risk

Importance

The onset age of nonalcoholic fatty liver disease (NAFLD) is decreasing, and whether earlier ages of NAFLD onset are associated with increased cancer risk is currently unclear.

Objective

To explore the association between NAFLD new-onset age and cancer risk.

Design, Setting, and Participants

This cohort study was conducted among 179 328 participants included in the Kailuan Cohort Study between 2006 and 2021. In total, 46 100 incident NAFLD cases were identified. For each case, a participant matched by age (older or younger by 1 year) and sex was randomly selected to create a new matched study cohort. Data were analyzed from December 2022 through April 2023.

Exposure

Onset of NAFLD.

Main Outcomes and Measures

The association between the onset age of NAFLD and the risk of different cancer types was evaluated using weighted Cox regression models. Population-attributable fractions (PAFs) were used to quantify the association of NAFLD with cancer risk at different ages.

Results

Among 63 696 participants (mean [SD] age, 51.37 [12.43] years; ‭10 932 females [17.2%] and ‭52 764 males [82.8%]), 31 848 individuals had NAFLD and 31 848 individuals were in the control group. During a median (IQR) follow-up of 10.16 (7.89-11.67) years, 2415 patients were diagnosed with cancer. Compared with the matched group, patients aged less than 45 years at NAFLD onset exhibited a higher risk of cancer (average hazard ratio [AHR], 1.52; 95% CI, 1.09-2.12), and as the onset age of NAFLD increased, the cancer risk decreased (ages 45-54 years: AHR, 1.50; 95% CI, 1.15-1.97; ages 55-64 years: AHR, 1.13; 95% CI, 0.97-1.33; ages >65 years: AHR, 0.75; 95% CI, 0.45-1.27; P for interaction < .001). Among patients aged less than 45 years at NAFLD onset, cancers were mainly digestive system and lung cancers, with AHR values of 2.00 (95% CI, 1.08-3.47) and 2.14 (95% CI, 1.05-4.36), respectively. PAFs also showed that in patients aged less than 45 years at NAFLD onset, 17.83% (95% CI, 4.92%-29.86%) of cancer risk was attributable to NAFLD.‬‬‬‬.

Conclusions and Relevance

This study found that NAFLD was associated with increased cancer risk and there was an interaction with onset age, such that the younger the onset age of NAFLD, the greater the cancer risk.

Better Life's Essential 8 Is Associated With Lower Risk of Diabetic Kidney Disease: A Community-Based Study

Background Diabetic kidney disease (DKD) is a common diabetic complication and increases the complexity of diabetes management. No prospective study has focused on the association between DKD and Life's Essential 8 (LE8). Our study aims to examine the association between LE8 and DKD risk. Methods and Results A total of 7605 participants, aged 54.32±9.77 years, and 4688 participants, aged 56.11±10.38 years, were included in the longitudinal and trajectory analyses, respectively, from 2006 to 2020. The DKD was confirmed using data collected during each follow-up. LE8 was based on 4 health behaviors and 4 health factors. The range of each metric was 0 to 100, and the overall LE8 score was calculated as the unweighted average of all 8 component metric scores. The trajectories of LE8 during 2006 to 2010 were classified using latent mixture models. Cox models and restricted cubic splines were applied. After a median follow-up of 12.41 and 6.71 years in longitudinal and trajectory analyses, respectively, the DKD incidence decreased, with the LE8 level increasing (P-trend<0.05), and the linearity assumption for this relationship (P-nonlinear=0.685) had been satisfied. Adjusted hazard ratios (HRs) for the highest tertile were 0.77 (95% CI, 0.69-0.87) and 0.70 (95% CI, 0.62-0.78) in baseline and time-updated LE8 scores, respectively, compared with the lowest tertile. Adjusted HR was 0.53 (95% CI, 0.41-0.69) for the stable-high pattern compared with the stable-low pattern. Conclusions Although LE8 is an indicator of cardiovascular health, the beneficial impact of a high LE8 score is also evident in the protection of renal health among patients with diabetes.

Brachial-ankle pulse wave velocity is a stronger predictor than blood pressure for atherosclerotic cardiovascular diseases and all-cause mortality: a cohort study

Whether brachial-ankle pulse wave velocity (baPWV) is a better predictive indicator than blood pressure (BP) for atherosclerotic cardiovascular diseases (ASCVD) events and all-cause mortality in the general population has not yet been established. The current study included 47,659 participants from the Kailuan cohort in China, who underwent the baPWV test and were free of ASCVD, atrial fibrillation, and cancer at baseline. The hazard ratios (HRs) of ASCVD and all-cause mortality were evaluated using the Cox proportional hazards model. The predictive ability of baPWV, systolic BP (SBP), and diastolic BP (DBP) for ASCVD and all-cause mortality was evaluated using the area under the curve (AUC) and concordance index (C-index). Within the median follow-up period of 3.27 and 3.32 person-years, 885 ASCVD events and 259 deaths occurred, respectively. The HRs of ASCVD and all-cause mortality increased with the increase of baPWV, SBP, and DBP. When baPWV, SBP, and DBP were analyzed as continuous variables, the adjusted HRs were 1.29 (95% CI, 1.22-1.37), 1.28 (95% CI, 1.20-1.37), and 1.26 (95% CI, 1.17-1.34) for each standard deviation increase, respectively. The AUC and C-index for baPWV in predicting ASCVD and all-cause mortality were 0.744 and 0.750, respectively, while those for SBP were 0.697 and 0.620, those for DBP were 0.666 and 0.585. The AUC and C-index of baPWV were higher than those of SBP and DBP (P < 0.001). Therefore, baPWV is an independent predictor of ASCVD and all-cause mortality in the general Chinese population, and its predictive ability is superior to that of BP. baPWV is a more ideal screening method for ASCVD in large-scale population.

Age at diagnosis modifies associations of type 2 diabetes with cancer incidence and mortality: a retrospective matched-cohort study

AIMS/HYPOTHESIS

The age-specific associations between type 2 diabetes and cancer risk are not fully understood. The aim of this study was to assess how age at diagnosis modifies the associations between type 2 diabetes and cancer risk.

METHODS

We used data from the Yinzhou Health Information System, and included 42,279 individuals who were newly diagnosed with type 2 diabetes between 2010 and 2014, as well as 166,010 age- and sex-matched control individuals without diabetes who were selected randomly from the electronic health records of the entire population. Patients were divided into four age groups according to age at diagnosis: <50, 50-59, 60-69 and ≥70 years. Stratified Cox proportional hazards regression models, with age as the time scale, were used to estimate the HRs and 95% CIs for the associations of type 2 diabetes with the risks of overall and site-specific cancers. Population-attributable fractions were also calculated for outcomes associated with type 2 diabetes.

RESULTS

During median follow-up periods of 9.20 and 9.32 years, we identified 15,729 incident cancer cases and 5383 cancer deaths, respectively. Patients diagnosed with type 2 diabetes before 50 years of age had the highest relative risks of cancer incidence and mortality, with HRs (95% CI) of 1.35 (1.20, 1.52) for overall cancer incidence, 1.39 (1.11, 1.73) for gastrointestinal cancer incidence, 2.02 (1.50, 2.71) for overall cancer mortality, and 2.82 (1.91, 4.18) for gastrointestinal cancer mortality. Risk estimates decreased gradually with each decade increase in diagnostic age. The population-attributable fractions for overall cancer and gastrointestinal cancer mortality also decreased with increasing age.

CONCLUSIONS/INTERPRETATION

The associations of type 2 diabetes with cancer incidence and mortality varied by age at diagnosis, with a higher relative risk among patients who were diagnosed at a younger age.

Supra-additive effect of chronic inflammation and atherogenic dyslipidemia on developing type 2 diabetes among young adults: a prospective cohort study

BACKGROUND

Both elevated inflammation and atherogenic dyslipidemia are prominent in young-onset diabetes and are increasingly identified as biologically intertwined processes that contribute to diabetogenesis. We aimed to investigate the age-specific risks of type 2 diabetes (T2D) upon concomitant chronic inflammation and atherogenic dyslipidemia.

METHODS

Age-stratified Cox regression analysis of the risk of incident diabetes upon co-exposure to time-averaged cumulative high-sensitivity C-reactive protein (CumCRP) and atherogenic index of plasma (CumAIP) among 42,925 nondiabetic participants from a real-world, prospective cohort (Kailuan Study).

RESULTS

During a median 6.41 years of follow-up, 3987 T2D developed. Isolated CumAIP and CumCRP were significantly associated with incident T2D in the entire cohort and across all age subgroups. Both CumAIP and CumCRP were jointly associated with an increased risk of diabetes (P-interaction = 0.0126). Compared to CumAIP < -0.0699 and CumCRP < 1 mg/L, co-exposure to CumAIP ≥ - 0.0699 and CumCRP ≥ 3 mg/L had a significant hazard ratio (HR) [2.55 (2.23-2.92)] after adjusting for socio-demographic, life-style factors, family history of diabetes, blood pressure, renal function and medication use. The co-exposure-associated risks varied greatly by age distribution (P-interaction = 0.0193): < 40 years, 6.26 (3.47-11.28); 40-49 years, 2.26 (1.77-2.89); 50-59 years, 2.51 (2.00-3.16); 60-69 years, 2.48 (1.86-3.30); ≥ 70 years, 2.10 (1.29-3.40). In young adults (< 45 years), both exposures had a significant supra-additive effect on diabetogenesis (relative excess risk due to interaction: 0.80, 95% CI 0.10-1.50).

CONCLUSIONS

These findings highlight the need for age-specific combined assessment and management of chronic inflammation and dyslipidemia in primary prevention against T2D, particularly for young adults. The clinical benefit derived from dual-target intervention against dyslipidemia and inflammation will exceed the sum of each part alone in young adults.

Association of the time course of Chinese visceral adiposity index accumulation with cardiovascular events in patients with hypertension

BACKGROUND

The Chinese visceral adiposity index (CVAI), a simple surrogate measure of visceral fat, is significantly associated with cardiovascular disease (CVD) risk in the general population. This study aimed to evaluate the association of cumulative CVAI (cumCVAI) exposure and its accumulation time course with CVD risk among patients with hypertension.

METHODS

This prospective study involved 15,350 patients with hypertension from the Kailuan Study who were evaluated at least three times in the observation period of 2006 to 2014 (2006-2007, 2010-2011, and 2014-2015) and who were free of myocardial infarction and stroke before 2014. The cumCVAI was calculated as the weighted sum of the mean CVAI for each time interval (value × time). The time course of CVAI accumulation was categorized by splitting the overall accumulation into early (cumCVAI_06 - 10) and late (cumCVAI_10 - 14) accumulation, or the slope of CVAI versus time from 2006 to 2014 into positive and negative.

RESULTS

During the 6.59-year follow-up period, 1,184 new-onset CVD events were recorded. After adjusting for confounding variables, the hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD were 1.35 (1.13-1.61) in the highest quartile of cumCVAI, 1.35 (1.14-1.61) in the highest quartile of the time-weighted average CVAI, 1.26 (1.12-1.43) in those with a cumulative burden > 0, and 1.43 (1.14-1.78) for the group with a 10-year exposure duration. When considering the time course of CVAI accumulation, the HR (95% CI) for CVD was 1.33 (1.11-1.59) for early cumCVAI. When considering the combined effect of cumCVAI accumulation and its time course, the HR (95% CI) for CVD was 1.22 (1.03-1.46) for cumCVAI ≥ median with a positive slope.

CONCLUSIONS

In this study, incident CVD risk depended on both long-term high cumCVAI exposure and the duration of high CVAI exposure among patients with hypertension. Early CVAI accumulation resulted in a greater risk increase than later CVAI accumulation, emphasizing the importance of optimal CVAI control in early life.

The impact of fasting plasma glucose variability on osteoporotic fractures

Purpose

To investigate the impact of FPG variability on osteoporotic fractures in the entire community population.

Methods

All participants were from the Kailuan Study. Participants completed three consecutive surveys from 2006-2007, 2008-2009, and 2010-2011. We excluded individuals with an osteoporotic fracture in or prior to the index year and those without complete FPG records at the first 3 examinations. All participants were followed from the date of the 3rd examination to the first occurrence of an endpoint event or December 31, 2021. According to the SD of FPG levels, the included subjects were divided into three groups. A Cox proportional hazards model was performed to further analyze the effect of different FPG-SD groups on the risk of osteoporotic fractures.

Results

Ultimately, the study population included 57295 participants. During a median follow-up time of 11.00 years, we documented 772 new osteoporotic fracture cases. When evaluating the FPG-SD level as a categorical variable, the HRs for osteoporotic fractures were 1.07 (95% CI: 0.89-1.29) for T2 and 1.32 (95% CI: 1.10-1.60) for T3 when compared with T1. We found that increased FPG variability was associated with a greater risk of osteoporotic fractures in people with diabetes than in those without diabetes (47% vs. 32%).

Conclusion

Increased FPG variability was an independent predictor of incident osteoporotic fracture, especially in individuals older than 50 years old, nonobese individuals, diabetes patients, and individuals with positive FPG-SD variability.

Metabolic Dysfunction-associated fatty liver disease and incident heart failure risk: the Kailuan cohort study

BACKGROUND

Recently, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed to replace non-alcoholic fatty liver disease (NAFLD) to emphasize the pathogenic association between fatty liver disease and metabolic dysfunction. Studies have found that MAFLD independently increases the risk of myocardial infarction and stroke. But the relationship between MAFLD and heart failure (HF) is not fully understood.

OBJECTIVES

This study aimed to explore the association between MAFLD and the risk of HF.

METHODS

The study included 98,685 participants without HF selected from the Kailuan cohort in 2006. All participants were divided into non-MAFLD group and MAFLD group according to MAFLD diagnostic criteria. After follow-up until December 31, 2020, the Cox regression analysis model was used to calculate the effect of MAFLD on the risk of HF.

RESULTS

During the median follow-up of 14.01 years,3260 cases of HF were defined, the HF incidence density of non-MAFLD group and MAFLD group was 2.19/1000pys and 3.29/1000pys, respectively. Compared with the non-MAFLD group, participants with MAFLD had an increased risk of HF (HR: 1.40, 95% CI: 1.30-1.50); in addition, an exacerbation of fatty liver disease was associated with an increased risk of HF in people with MAFLD. We also observed a higher risk of HF among the different metabolic dysfunction of MAFLD in people with both fatty liver disease and type 2 diabetes (HR, 1.95; 95% CI, 1.73-2.20).

CONCLUSIONS

Our findings suggest that the risk of HF was significantly increased in participants with MAFLD, and an exacerbation of fatty liver disease was associated with an increased risk of HF in people with MAFLD. In addition, we should pay more attention to people with MAFLD with type 2 diabetes.

Association of serum uric acid to lymphocyte ratio, a novel inflammatory biomarker, with risk of stroke: A prospective cohort study

MAIN PROBLEM

Inflammation plays an important role in the pathological progress associated with stroke. Serum uric acid (SUA) to lymphocyte ratio (ULR), a novel inflammatory biomarker, has been considered as a better risk stratification tool of adverse outcomes than SUA or lymphocyte alone. This study aimed to investigate whether ULR produced more predictive value for stroke and explore the potential mediators of the associations.

METHODS

This study enrolled 93,023 Chinese participants without stroke and myocardial infarction at baseline. Cox proportional hazard models were used to analyze the associations of ULR with stroke and subtypes. Mediation analyses were conducted to explore potential mediators of the associations.

RESULTS

During a median follow-up of 13.00 years, 6081 cases of incident stroke occurred, including 5048 cases of ischemic stroke (IS) and 900 cases of hemorrhagic stroke (HS). After adjustment for confounders, the Q4 group was associated with a higher risk of HS (HR, 1.25; 95% CI, 1.03-1.50), but not with total stroke (HR, 1.07; 95% CI, 1.03-1.13) or IS (HR, 1.04; 95% CI, 0.97-1.12). No significant associations were found between SUA or lymphocyte and any stroke. ULR outperformed SUA or lymphocytes alone in predicting stroke. Additionally, the significant association between ULR and HS was partially mediated by systolic blood pressure (20.32%), diastolic blood pressure (11.18%) and estimated glomerular filtration rate (9.19%).

CONCLUSIONS

ULR was significantly associated with the risk of HS, but not with IS. Systolic blood pressure, diastolic blood pressure and estimated glomerular filtration rate were potential mediators for the association.

Protocol for Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS): rationale, design and database building

INTRODUCTION

Multi-modality medical imaging study, especially brain MRI, greatly facilitates the research on subclinical brain disease. However, there is still a lack of such studies with a wider age span of participants. The Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS) was designed to address this issue with a large sample size population.

METHODS AND ANALYSIS

We aim to enrol at least 1000 subjects in META-KLS. All the participants without contraindications will perform multi-modality medical imaging, including brain MRI, retinal fundus photograph, fundus optical coherence tomography (OCT) and ultrasonography of the internal carotid artery (ICA) every 2-4 years. The acquired medical imaging will be further processed with a standardised and validated workflow. The clinical data at baseline and follow-up will be collected from the KaiLuan Study. The associations between multiple risk factors and subclinical brain disease are able to be fully investigated. Researches based on META-KLS will provide a series of state-of-the-art evidence for the prevention of neurological diseases and common chronic diseases.

ETHICS AND DISSEMINATION

The Kailuan Study and META-KLS have been approved by the Medical Ethics Committee of Kailuan General Hospital (IRB number: 2008 No. 1 and 2021002, respectively). Written informed consent will be acquired from each participant. Results are expected to be published in professional peer-reviewed journals beginning in 2023.

TRIAL REGISTRATION NUMBER

NCT05453877.

Association between triglyceride-glucose index and risk of cardiovascular disease among postmenopausal women

OBJECTIVE

We aimed to examine the association of triglyceride-glucose index (TyG) with risk for cardiovascular disease (CVD) among postmenopausal women.

METHODS

A total of 7741 participants met the inclusion criteria, and were included in the analysis. The TyG index was calculated as ln (triglyceride [mg/dL] × fasting blood glucose [mg/dL]/2). The participants were classified into four groups by the quartiles of TyG index, and the Q1 group was used as the reference group. The cumulative incidence of CVD for the groups were compared using the Kaplan-Meier curves. The association between the TyG index and risk of CVD among postmenopausal women was assessed by the Cox proportional hazards models (hazard ratio [HR], 95% confidence intervals [CI]).

RESULTS

During a median follow-up of 12 years, a total of 383 (4.95%) participants developed incident CVD. After adjusting for potential confounding factors, a high baseline TyG index (Q4 group) was associated with higher future risk of CVD, the HR (95% CI) of CVD risk was 1.70 (1.21-2.38) in Q4 group compared with the Q1 group. Subgroup analyses showed the Q4 group was significantly associated with the risk of CVD, regardless of age at menopause (younger than 50 years; 50 years and older) and obesity status.

CONCLUSIONS

Higher TyG index at baseline as a marker of insulin resistance (IR), is associated with higher risk of future CVD among postmenopausal women. The TyG index may serve as a simple and easy marker for early identification of high-risk individuals in the postmenopausal women.

Temporal relationship between atherogenic dyslipidemia and inflammation and their joint cumulative effect on type 2 diabetes onset: a longitudinal cohort study

BACKGROUND

Concurrent atherogenic dyslipidemia and elevated inflammation are commonly observed in overt hyperglycemia and have long been proposed to contribute to diabetogenesis. However, the temporal relationship between them and the effect of their cumulative co-exposure on future incident type 2 diabetes (T2D) remains unclear.

METHODS

Longitudinal analysis of data on 52,224 participants from a real-world, prospective cohort study (Kailuan Study) was performed to address the temporal relationship between high-sensitivity C-reactive protein (hsCRP) and the atherogenic index of plasma (AIP, calculated as triglyceride/high-density lipoprotein) in an approximately 4-year exposure period (2006/2007 to 2010/2011). After excluding 8824 participants with known diabetes, 43,360 nondiabetic participants were included for further analysis of the T2D outcome. Cox regression models were used to examine the adjusted hazard ratios (aHRs) upon the cumulative hsCRP (CumCRP) and AIP (CumAIP) in the exposure period.

RESULTS

In temporal analysis, the adjusted standardized correlation coefficient (β1) of hsCRP_2006/2007 and AIP_2010/2011 was 0.0740 (95% CI, 0.0659 to 0.0820; P < 0.001), whereas the standardized correlation coefficient (β2) of AIP_2006/2007 and hsCRP_2010/2011 was - 0.0293 (95% CI, - 0.0385 to - 0.0201; P < 0.001), which was significantly less than β1 (P < 0.001). During a median follow-up of 7.9 years, 5,118 T2D cases occurred. Isolated exposure to CumAIP or CumCRP was dose-dependently associated with T2D risks, independent of traditional risk factors. Significant interactions were observed between the median CumAIP (- 0.0701) and CumCRP thresholds (1, 3 mg/L) (P = 0.0308). Compared to CumAIP < - 0.0701 and CumCRP < 1 mg/L, those in the same CumAIP stratum but with increasing CumCRP levels had an approximately 1.5-fold higher T2D risk; those in higher CumAIP stratum had significantly higher aHRs (95% CIs): 1.64 (1.45-1.86), 1.87 (1.68-2.09), and 2.04 (1.81-2.30), respectively, in the CumCRP < 1, 1 ≤ CumCRP < 3, CumCRP ≥ 3 mg/L strata. Additionally, the T2D risks in the co-exposure were more prominent in nonhypertensive, nondyslipidemic, nonprediabetic, or female participants.

CONCLUSIONS

These findings suggest a stronger association between elevated hsCRP and future AIP changes than vice versa and highlight the urgent need for combined assessment and management of chronic inflammation and atherogenic dyslipidemia in primary prevention, particularly for those with subclinical risks of T2D.

Effect of Aerobic Exercise on Arterial Stiffness in Individuals with Different Smoking Statuses

This study aimed to investigate the immediate effects of acute bout of aerobic exercise on arterial stiffness in individuals with different smoking statuses. A total of 940 male individuals (mean age of 36.82±7.76 years) in the Kailuan study cohort were selected to participate in the fifth National Physical Fitness Monitoring. All participants completed measurements of brachial - ankle pulse wave velocity (baPWV) before and after twice-quantitative cycle ergometer exercise. Four groups were defined: (1) non-smokers (n=231), (2) former smokers (n=165), (3) light smokers (1-10 cigarettes/day, n=254), (4) heavy smokers (>10 cigarettes/day, n=290). Generalized linear models were established to analyze between-group differences in the change in baPWV before and after acute aerobic exercise in individuals with different smoking statuses. Overall, after acute aerobic exercise, baPWV was immediately decreased significantly (-33.55 cm/s [95% CI, - 39.69 to -27.42]). Compared with non-smokers, former smokers, light smokers, and heavy smokers showed a greater decrease in baPWV (-12.17 cm/s [95%CI, - 30.08 to 5.75], - 18.43 cm/s [95%CI, -34.69 to - 2.16], and -22.46 cm/s [95%CI, - 38.39 to - 6.54]) respectively. There is a transient decrease in baPWV in individuals with different smoking statuses. Compared with non-smokers, baPWV decreased more significantly in light and heavy smokers.

Associations of Traumatic Injury with Abnormal Glucose Metabolism: A Population-Based Prospective Cohort Study

Purpose

Empirical data on the association between traumatic injury and abnormal glucose metabolism risk is limited. This study aimed to investigate the association between traumatic injury and abnormal glucose metabolism.

Patients and Methods

This study included 153,162 participants in the Kailuan Study from 2006 to 2013. Participants with abnormal glucose metabolism at baseline were excluded. All participants were monitored every two years until December 31, 2019. During follow-up, 1915 subjects with a first traumatic injury (defined as a physical injury caused by an external force) were identified. For each subject with traumatic injury, one control subject was randomly selected and matched for age (± 3 years) and sex. A total of 3830 subjects were included in the final analysis. Cox proportional hazards models were used to examine the association between traumatic injury and the subsequent risk of abnormal glucose metabolism.

Results

During a median follow-up of 6.91 (3.57-9.41) years, 990 abnormal glucose metabolism events occurred. After adjustment for demographics, lifestyle behaviors, and traditional risk factors, those who had traumatic injury compared to controls were 32% more likely to develop any abnormal glucose metabolism (hazard ratio [HR] 1.32; 95% confidence interval [CI]1.16-1.49), including impaired fasting glucose (IFG) (HR 1.29; 95% CI 1.12-1.48) and diabetes (HR 1.37; 95% CI 1.10-1.70). The risks for abnormal glucose metabolism, IFG, and diabetes in subjects with moderate-severe injury were higher than in subjects with mild injury for the 1-year follow-up period, while the association was not significantly different by injury severity for the whole follow-up period.

Conclusion

Traumatic injury was associated with an increased risk of abnormal glucose metabolism. However, the risks of outcome events decreased as the follow-up period extended. Improved short- and long-term prevention and management strategies for controlling glucose are needed for individuals with traumatic injury.

Global burden of type 2 diabetes in adolescents and young adults, 1990-2019: systematic analysis of the Global Burden of Disease Study 2019

OBJECTIVE

To estimate the global burden of type 2 diabetes in adolescents and young adults (aged 15-39 years) from 1990 to 2019.

DESIGN

Systematic analysis.

DATA SOURCE

Global Burden of Disease Study 2019. Participants aged 15-39 years from 204 countries and territories, 1990-2019.

MAIN OUTCOMES MEASURES

Age standardised incidence rate, age standardised disability adjusted life years (DALY) rate, and age standardised mortality rate for type 2 diabetes in people aged 15-39 years from 1990 to 2019, and proportional DALY attributable to different risk factors.

RESULTS

From 1990 to 2019, significant increases in age standardised incidence rate and age standardised DALY rate were found for type 2 diabetes in adolescents and young adults globally (P<0.001). Age standardised incidence rate (per 100 000 population) increased from 117.22 (95% confidence interval 117.07 to 117.36) in 1990 to 183.36 (183.21 to 183.51) in 2019, and age standardised DALY rate (per 100 000 population) increased from 106.34 (106.20 to 106.48) in 1990 to 149.61 (149.47 to 149.75) in 2019. The age standardised mortality rate (per 100 000 population) was modestly increased from 0.74 (0.72 to 0.75) in 1990 to 0.77 (0.76 to 0.78) in 2019. When grouped by countries with different sociodemographic indexes, countries with a low-middle and middle sociodemographic index had the highest age standardised incidence rate and age standardised DALY rate in 2019, whereas countries with a low sociodemographic index had the lowest age standardised incidence rate but the highest age standardised mortality rate. Women generally had higher mortality and DALY rates than men at ages <30 years, but differences between the sexes were reversed in those aged >30 years except in countries with a low sociodemographic index. The main attributable risk factor for DALY for early onset type 2 diabetes was high body mass index in all regions by sociodemographic index. The proportional contribution of other risk factors varied across regions, however, with higher proportions of ambient particulate air pollution and smoking in countries with a high sociodemographic index and higher proportions of household air pollution from solid fuels and diet low in fruit in countries with a low sociodemographic index.

CONCLUSIONS

Early onset type 2 diabetes is a growing global health problem in adolescents and young adults, especially in countries with a low-middle and middle sociodemographic index. A greater disease burden in women aged <30 years was found. Specific measures are needed in countries with different levels of socioeconomic development because of the variable attributable risk factors for type 2 diabetes in adolescents and young adults.