Diabetes duration and glycaemic control as predictors of cardiovascular disease and mortality

Microvascular burden and long-term risk of stroke and dementia in type 2 diabetes mellitus

OBJECTIVE

To examine the associations between microvascular disease (MVD) and risk of stroke, dementia, and their major subtypes among individuals with type 2 diabetes mellitus (T2DM).

METHODS

We included 26,173 participants with T2DM from the UK Biobank who had no known stroke or dementia at baseline. MVD burden was reflected by the presence of retinopathy, peripheral neuropathy, and chronic kidney disease. Cox regression models were used to estimate hazard ratios (HRs) and 95 % confidential intervals (CIs) of stroke and dementia associated with overall MVD burden and individual MVD.

RESULTS

During a median follow-up of 11.5 years, 1103 incident stroke (964 ischemic and 269 hemorrhagic stroke) and 813 incident dementia (312 Alzheimer's disease and 304 vascular dementia) cases were identified. The risk of stroke, dementia, and their major subtypes all increased with an increasing number of MVD (all P-trend <0.001). The adjusted HRs (95 % CIs) comparing three with no MVD were 5.03 (3.16, 8.02) for all stroke, 4.57 (2.75, 7.59) for ischemic stroke, and 6.60 (2.65, 16.43) for hemorrhagic stroke. The corresponding estimates were 4.28 (2.33, 7.86) for all-cause dementia, 6.96 (3.02, 16.01) for Alzheimer's disease, and 3.81 (1.40, 10.42) for vascular dementia. Among the three MVD, chronic kidney disease showed the strongest associations with both stroke subtypes, while peripheral neuropathy was most strongly associated with both dementia subtypes.

CONCLUSIONS

Risk of stroke, dementia, and their major subtypes increased with an increasing number of MVD. The associations of individual MVD with stroke and dementia varied substantially by types of MVD.

Diabetes severity and the risk of depression: A nationwide population-based study

BACKGROUND

In consideration of the substantial occurrence rates of diabetes mellitus (DM) and depression, it is imperative to identify patients with DM who are at an elevated risk of developing depression. Accordingly, this study aimed to examine whether the risk of depression escalated proportionally with the severity of diabetes.

METHODS

2,067,017 adults diagnosed with type 2 DM, with the exception of those diagnosed with depression either before or within one year of the index date, were identified from a nationwide population-based cohort in Korea. Severity scores for DM were established based on various factors, including insulin use, DM duration of at least 5 years, use of three or more oral hypoglycemic agents, the presence of chronic kidney disease (CKD), cardiovascular diseases (CVD), or diabetic retinopathy. Each of these attributes was assigned a score of one point for diabetes severity, and their cumulative sum was defined as a diabetes severity score, ranging from 0 to 6.

RESULTS

During a median follow-up of 6.2 years, 407,047 cases of major depression were identified. Each component contributing to the DM severity score was significantly associated with an increased risk of depression (all P-values <0.001), with insulin use and the presence of CVD demonstrating the most significant correlation with depression risk. As the DM severity score increased, the risk of depression was observed to significantly escalate (P for trend <0.001). After adjusting for potential confounding variables, the hazard ratios (95% confidence intervals) of depression were 1.15 (1.14-1.16) in 1 point, 1.28 (1.27-1.29) in 2 points, 1.45 (1.43-1.47) in 3 points, 1.70 (1.67-1.73) in 4 points, 1.91 (1.84-1.98) in 5 points, and 2.01 (1.79-2.26) in 6 points, respectively.

CONCLUSION

The results of this study indicate that diabetes severity is positively associated with an elevated risk of developing major depression. Based on these findings, it is feasible to consider targeting depression screening efforts towards individuals with higher diabetes severity scores.

Association of vitamin D and cognition in people with type 2 diabetes: a systematic review

CONTEXT

There is a high prevalence of vitamin D deficiency and impaired cognitive function in people with type 2 diabetes mellitus (T2DM).

OBJECTIVE

To critically and systematically review the literature on the association between vitamin D status and cognitive performance in people with type 2 diabetes.

DATA SOURCES

This review was conducted according to PRISMA recommendations. MEDLINE, SCOPUS, the Cochrane Library, and Web of Science databases were searched using the terms "Diabetes Mellitus, Type 2", "Cognitive Function", and "Vitamin D".

DATA EXTRACTION

Eight observational and 1 randomized study were included, containing data of 14 648 adult and elderly individuals (19-74 y). All extracted data were compiled, compared, and critically analyzed.

DATA ANALYSIS

There is no strong evidence that lower serum concentrations of vitamin D and vitamin D-binding protein are associated with worsening cognitive function in individuals with T2DM. Vitamin D supplementation (12 wk) improved the scores of some executive functioning tests, although there was no difference between low doses (5000 IU/wk) and high doses (50 000 IU/wk).

CONCLUSIONS

There is no high-quality evidence demonstrating an association between vitamin D status and cognitive function, or clinical benefits on cognition from vitamin D supplementation in individuals with T2DM. Future studies are needed. Systematic Review Registration: PROSPERO registration no. CRD42021261520.

Association between diabetic status and risk of all-cause and cause-specific mortality on dialysis following first kidney allograft loss

Background

Diabetes mellitus (DM) is associated with a greater risk of mortality in kidney transplant patients, primarily driven by a greater risk of cardiovascular disease (CVD)-related mortality. However, the associations between diabetes status at time of first allograft loss and mortality on dialysis remain unknown.

Methods

All patients with failed first kidney allografts transplanted in Australia and New Zealand between 2000 and 2020 were included. The associations between diabetes status at first allograft loss, all-cause and cause-specific mortality were examined using competing risk analyses, separating patients with diabetes into those with pre-transplant DM or post-transplant diabetes mellitus (PTDM).

Results

Of 3782 patients with a median (IQR) follow-up duration of 2.7 (1.1-5.4) years, 539 (14%) and 390 (10%) patients had pre-transplant DM or developed PTDM, respectively. In the follow-up period, 1336 (35%) patients died, with 424 (32%), 264 (20%) and 199 (15%) deaths attributed to CVD, dialysis withdrawal and infection, respectively. Compared to patients without DM, the adjusted subdistribution HRs (95% CI) for pre-transplant DM and PTDM for all-cause mortality on dialysis were 1.47 (1.17-1.84) and 1.47 (1.23-1.76), respectively; for CVD-related mortality were 0.81 (0.51-1.29) and 1.02 (0.70-1.47), respectively; for infection-related mortality were 1.84 (1.02-3.35) and 2.70 (1.73-4.20), respectively; and for dialysis withdrawal-related mortality were 1.71 (1.05-2.77) and 1.51 (1.02-2.22), respectively.

Conclusions

Patients with diabetes at the time of kidney allograft loss have a significant survival disadvantage, with the excess mortality risk attributed to infection and dialysis withdrawal.

Secondhand Smoke Exposure and Risk of Dementia in Nonsmokers: A Population-Based Cohort Study

BACKGROUND

Large population-based prospective studies are necessary to provide clarification on the associations of panoramic secondhand smoking burden, including prenatal and postnatal secondhand smoke (SHS) exposure, with the risk of developing dementia.

METHODS

Our study comprised a sample of 353,756 dementia-free individuals from the UK Biobank who were nonsmokers had data on the exposure of maternal smoking as well as SHS exposure in daily life, which was quantified in terms of hours per week (h/week) and whether they lived with household smokers. Multivariable Cox regression models were utilized to analyze the independent and joint associations of maternal smoking and daily life SHS exposure with dementia risk.

RESULTS

During a median follow-up of 11.8 years, 4,113 participants developed dementia. Compared with those who lived in the environment without smokers, multivariable-adjusted hazard ratios (HRs) (95% CIs) were 1.11 (1.02, 1.20) and 1.31 (1.13, 1.52) for those who exposed to SHS for >0 but ≤4 h/week and >4 h/week, respectively, and was 1.25 (1.13, 1.39) for those who lived with smokers in the household. A positive history of maternal smoking was associated with a modestly higher risk of dementia (HR = 1.07; 95% CI: 1.01, 1.15). Furthermore, compared with participants with neither history of maternal smoking nor exposure to SHS, a particularly higher risk of dementia was observed among those with both exposures (HR = 1.48; 95% CI: 1.18, 1.86). Additionally, the HR (95% CI) was 1.32 (1.10, 1.59) when comparing participants with a history of maternal smoking who lived with smokers in their households with those who had neither exposures.

CONCLUSIONS

Having a history of maternal smoking, longer exposure to SHS, and living with smokers in the household were each associated with an increased risk of developing dementia. Individuals who were simultaneously exposed to maternal smoking and SHS or lived with household smokers had a particularly higher dementia risk.

Diabetes duration, cholesterol levels, and risk of cardiovascular diseases in individuals with type 2 diabetes

OBJECTIVE

To investigate the association of diabetes duration with cardiovascular disease (CVD) risk and to examine the relationship between lipid levels and CVD risk over the duration.

METHODS

Using the Korean National Health Insurance Service Cohort database, we identified 2,359,243 subjects with type 2 DM aged ≥20 years in 2015-2016. Baseline lipid levels and diabetes duration were evaluated, and followed up until December 2020 (mean follow-up, 3.9 years). Subjects were categorized according to diabetes duration (new-onset, <5 years, 5-9 years, or ≥10 years). We analyzed the new-onset diabetes group with low-density lipoprotein cholesterol (LDL-C), <70 mg/dL, as the reference group. The hazard ratios (HRs) and 95% confidence intervals (CIs) of myocardial infarction (MI), and ischemic stroke (IS) were estimated using a Cox proportional hazards model adjusted for potential confounders.

RESULTS

During follow-up, 45,883 cases of MI and 53,538 cases of IS were identified. The risk of MI or IS began to increase at LDL-C ≥160 mg/dL in the new-onset diabetes group, and at LDL-C ≥130 mg/dL in the diabetes duration <5 years group. Among subjects with a diabetes duration of 5-9 years, LDL-C 100-129 mg/dL, LDL-C 130-159 mg/dL, and ≥160 mg/dL were significantly associated with the risk of MI, with HRs (95% CI) of 1.13 (1.04-1.22), 1.28 (1.17-1.39), and 1.58 (1.42-1.76), respectively. The risk of MI in the diabetes duration ≥10 years group was increased by 16%, even in the LDL-C 70-99 mg/dL population (HR [95% CI] 1.16 [1.08-1.25]).

CONCLUSIONS

This population-based longitudinal study revealed that the LDL-C cutoff level for increasing the risk of cardiovascular disease varied with diabetes duration, and that the target LDL-C level should depend on the duration.

The Association Between Exposure to Air Pollution and Dementia Incidence: The Modifying Effect of Smoking

BACKGROUND

The influence of overall air pollution on dementia risk and the potential effect modification by other risk factors remain to be clarified.

METHODS

We included 459 844 UK residents who were free of dementia and had data on the exposure to particulate matter (PM)2.5, PM2.5-10, PM10, NO2, and NOx during baseline recruitment. The combined exposure to various PMs and NOx was estimated by using an air pollution score. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia were estimated by multivariable Cox models.

RESULTS

During a median 11.7 years follow-up, 5 905 incident cases of all-cause dementia were identified. With the exception of PM2.5-10, all other air pollutants were separately associated with a higher risk of all-cause dementia (all p-trend < .001) with generally similar associations for dementia subtypes. An increasing air pollution score was associated with higher risks of all-cause as well as individual dementia outcomes, with adjusted HRs (95% CI) of 1.27 (1.18, 1.37) for all-cause dementia, 1.27 (1.14, 1.43) for Alzheimer's disease, and 1.35 (1.16, 1.57) for vascular dementia when comparing the highest with the lowest quartile of the score (all p-trend < .001). These associations of air pollution score with dementia and its subtypes were observed among never and former smokers but not among current smokers (all p-interaction 
< .030).

CONCLUSION

Air pollution was associated with a higher risk of dementia among nonsmokers but not current smokers. Additional studies are required to confirm our findings and to explore the potential mechanisms underlying the possible effect modification by smoking status.

Duration of Type 2 Diabetes and Incidence of Cancer: An Observational Study in England

OBJECTIVE

To investigate the association between duration of type 2 diabetes and cancer incidence.

RESEARCH DESIGN AND METHODS

In the Clinical Practice Research Datalink database, we identified 130,764 individuals with type 2 diabetes aged ≥35 years at diagnosis who were linked to hospital and mortality records. We used sex-stratified Royston-Parmar models with two timescales to estimate incidence rates of all cancers, the four commonest cancers in the U.K. (colorectal, lung, prostate, breast), and the obesity-related cancers (e.g., liver, ovary) between 1 January 1998 and 14 January 2019, by age and diabetes duration.

RESULTS

During 1,089,923 person-years, 18,977 incident cancers occurred. At the same age, rates of all cancers in men and women did not vary across durations ranging from diagnosis to 20 years; conversely, for any duration, there was a strong, positive association between age and cancer rates. In men, the rate ratio (95% CI) comparing 20 with 5 years of duration was 1.18 (0.82-1.69) at 60 years of age and 0.90 (0.75-1.08) at 80 years; corresponding ratios in women were 1.07 (0.71-1.63) and 0.84 (0.66-1.05). This pattern was observed also for the four commonest cancers. For obesity-related cancers, although rates were generally higher in individuals with a higher BMI, there was no association with duration at any level of BMI.

CONCLUSIONS

In this study, we did not find evidence of an association between duration of type 2 diabetes and risk of cancer, with the higher risk observed for longer durations related to ageing.

Risk Factors and Prediction Nomogram of Cognitive Frailty with Diabetes in the Elderly

Purpose

Diabetes is a well-recognized risk factor for cognitive frailty. This study aimed to investigate the influencing factors of cognitive frailty in elderly patients with diabetes and develop a nomogram for its assessment.

Methods

We collected the clinical data of diabetic patients aged 60 years or older and the patients were divided into training and validation cohorts at a ratio of 7:3. In the training cohort, logistic regression was used to screen out the influencing factors of cognitive frailty in elderly diabetic patients, and a risk prediction model and nomogram were constructed and verified in the validation cohort. The performance of the model was evaluated using various measures, including the area under the receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test and decision curve analysis.

Results

A total of 315 elderly diabetic patients were included, of which 87 (27.6%) patients had cognitive frailty. Age, albumin levels, calf circumference, duration of diabetes, intellectual activity, and depressive state were identified as independent risk factors for cognitive frailty in older patients with diabetes (P < 0.05). The training cohort and validation cohort demonstrated area under curve (AUC) values of 0.866 and 0.821, respectively.

Conclusion

Older patients with diabetes have a higher prevalence of cognitive frailty. The nomogram model exhibited satisfactory calibration and identification, providing a reliable tool for assessing the risk of cognitive frailty in individuals with diabetes.

Multicomponent prediction of 2-year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors

The current methods for the prediction of mortality and amputation for inpatients with diabetic foot (DF) use only conventional, simple variables, which limits their performance. Here, we used a random survival forest (RSF) model and multicomponent variables to improve the prediction of mortality and amputation for these patients. We performed a retrospective cohort study of 175 inpatients with DF who were recruited between 2014 and 2021. Thirty-one predictors in six categories were considered as potential covariates. Seventy percent (n = 122) of the participants were randomly selected to constitute a training set, and 30% (n = 53) were assigned to a testing set. The RSF model was used to screen appropriate variables for their value as predictors of 2-year all-cause mortality and amputation, and a multicomponent prediction model was established. Model performance was evaluated using the area under the curve (AUC) and the Hosmer-Lemeshow test. The AUCs were compared using the Delong test. Seventeen variables were selected to predict mortality and 23 were selected to predict amputation. Uric acid and alanine transaminase were the top two most useful variables for the prediction of mortality, whereas urine protein and platelet were the top variables for the prediction of amputation. The AUCs were 0.913 and 0.851 for the prediction of mortality for the training and testing sets, respectively; and the equivalent AUCs were 0.963 and 0.893 for the prediction of amputation. There were no significant differences between the AUCs for the training and testing sets for both the mortality and amputation models. These models showed a good degree of fit. Thus, the RSF model can predict mortality and amputation in inpatients with DF. This multicomponent prediction model could help clinicians consider predictors of different dimensions to effectively prevent DF from clinical outcomes .

Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study

Purpose: Evidence is limited regarding the associations of different dietary patterns with cardiovascular disease (CVD) risk among the population with diabetes. Thus, we aimed to explore the associations between three dietary patterns and CVD incidence among the population with diabetes. Materials and methods: We prospectively followed 22 473 diabetic patients from the UK Biobank at the baseline. The healthy dietary pattern was derived from a food frequency questionnaire; meanwhile, the Alternate Mediterranean Diet (AMED) and the Dietary Approaches to Stop Hypertension (DASH) diet were assessed based on the Oxford WebQ online 24 h dietary questionnaire. Results: During an average of 10.8 years of follow-up, 5209 incident CVD cases, including 3552 coronary heart disease (CHD) events and 881 strokes, were documented. After multivariate adjustment, a higher healthy diet score was negatively associated with CVD, CHD, and stroke incidence. The hazard ratios and 95% confidence intervals across increasing quintiles of healthy diet score were 0.86 (0.79-0.95), 0.83 (0.75-0.93), and 0.71 (0.57-0.88) for CVD, CHD, and stroke, respectively. A similar protective association with CVD incidence was found for the AMED but not the DASH diet. Conclusions: Adherence to healthy dietary patterns is related to a lower risk of developing CVD among diabetic patients. Our findings further provide vigorous evidence for formulating dietary adherence guidelines for diabetic patients to reduce the burden of CVD complications.

[Luces y sombras de la Guía Europea esc-2021 de Prevención de la Enfermedad Cardiovascular en la Práctica Clínica.]

General practitioners see in their consultation a a significant number of patients at high vascular risk (VR). The European Guidelines for Cardiovascular Disease Prevention (2021) recommend a new risk classification and intervention strategies on on vascular risk factors (RF), with the aim of providing a shared decision-making recommendations between professionals and patients. In this document we present a critical analysis of these guidelines, offering possible solutions that can be implemented in Primary Care. It should be noted that there are positive aspects (lights) such as that the SCORE2 (from forty to sixty-nine years) and SCORE2-OP models (from seventy to eighty-nine years) are based on more current cohorts and measure cardiovascular risk in a more accurately manner. In addition, it is proposed to differentiate different risk thresholds according to age-groups. For sake of practicality, cardiovascular risk can be estimated using different websites with the new computer models. However, among the negative aspects (shadows), it seems to be add complexity implementing nine subgroups of subjects according to their age or level of risk, with a defined thresholds that could cause a substantial increase in the potential number of subjects susceptible to treatment without a clear evidence that supports it. In addition, two-step RF interventions could delay achievement of therapeutic goals, especially in very high-risk patients, diabetics, or patients with cardiovascular disease. Given these limitations, in this document we propose practical recommendations in order to simplify and facilitate the implementation of the guideline in primary care.

Lipoprotein(a), family history of cardiovascular disease, and incidence of heart failure

Lipoprotein(a) (Lp(a)) is a largely genetically determined biomarker for cardiovascular disease (CVD), while its potential interplay with family history (FHx) of CVD, a measure of both genetic and environmental exposures, remains unclear. We examined the associations of Lp(a) in terms of circulating concentration or polygenetic risk score (PRS), and FHx of CVD with risk of incident heart failure (HF). Included were 299,158 adults from the UK Biobank without known HF and CVD at baseline. Hazards ratios (HRs) and 95% Cls were estimated by Cox regression models adjusted for traditional risk factors defined by the Atherosclerosis Risk in Communities study HF risk score. During the 11.8-year follow-up, 5,502 incidents of HF occurred. Higher levels of circulating Lp(a), Lp(a) PRS, and positive FHx of CVD were associated with higher risks of HF. Compared with individuals who had lower circulating Lp(a) and no FHx, HRs (95% CIs) of HF were 1.36 (1.25, 1.49), 1.31 (1.19, 1.43), and 1.42 (1.22, 1.67) for those with higher Lp(a) and a positive history of CVD for all family members, parents, and siblings, respectively; similar results were observed by using Lp(a) PRS. The risk estimates for HF associated with elevated Lp(a) and positive FHx were attenuated after excluding those with incident myocardial infarction (MI) during follow-up. Lp(a) and FHx of CVD were independent risk factors for incident HF, and the highest risk of HF was observed among individuals with both risk factors. The association may be partly mediated by myocardial infarction.

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.

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

Background

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

Methods

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

Results

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

Conclusion

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

The Association Between Diabetes Duration and Domain-Specific Cognitive Impairment: A Population-Based Study

BACKGROUND

Diabetes is a risk factor for cognitive impairment, and disease duration is associated with geriatric decline and functional disabilities.

OBJECTIVE

This study aimed to examine the association of diabetes duration with domain-specific cognitive impairment in elderly.

METHODS

A total of 3,142 participants from the National Health and Nutrition Examination Survey (NHANES) from the period between 2011 and 2014 were included. We assessed cognitive function using the Digit Symbol Substitution Test (DSST), the CERAD Word Learning (CERAD-WL) test, the CERAD Delayed Recall (CERAD-DR) test and animal fluency (AF) test.

RESULTS

After adjusting for age, sex, race/ethnicity, education level, and annual household income, we found that diabetes with a duration longer than 20 years were at 3.32-fold increased risk of DSST impairment (OR = 3.32, 95% CI: 1.95 to 5.67), 1.72-fold increased risk of CERAD-WL impairment (OR = 1.72, 95% CI: 1.13 to 2.62), and 1.76-fold increased risk of AF impairment (OR = 1.76, 95% CI: 1.23 to 2.53), compared with those with no diabetes. Associations were generally stronger in women than in men. Participants with diabetes, who were diagnosed at 50-59 years old were at increased risk of DSST impairment, CERAD-WL impairment, CERAD-DR impairment, and AF impairment per 5 years longer duration of diabetes.

CONCLUSION

Longer diabetes duration was associated with the increased risk of cognitive impairment, especially in processing speed and attention. The presence of chronic kidney disease was associated with the increased risk of DSST impairment.

Long-term exposure to air pollution and incident non-alcoholic fatty liver disease and cirrhosis: A cohort study

BACKGROUND AND AIMS

Epidemiological evidence regarding the association of air pollution with the risk of non-alcoholic fatty liver disease (NAFLD) is limited. This study was to examine the associations of long-term exposure to various air pollutants and overall air pollution with risk of incident NAFLD as well as cirrhosis, a major liver-related morbidity for NAFLD.

METHODS

Included were 456 687 UK residents. Air pollution data included PM_2.5 , PM_2.5-10 , PM₁₀ , NO₂ and NO_x . A weighted air pollution score was also generated from PM₁₀ and NO_x . Cox proportional hazard models were employed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

We identified 4978 cases of NAFLD and 1575 cases of incident cirrhosis, over a median follow-up of 11.9 years. PM_2.5 , PM₁₀ , NO₂ and NO_x exposures contributed to the excess risk of NAFLD associated with air pollution score; and the corresponding adjusted HRs (95% CI) were 1.10 (1.05, 1.14), 1.14 (1.09, 1.20), 1.19 (1.13, 1.24) and 1.11 (1.07, 1.15), respectively, for each interquartile range increase in the above specific air pollutants. Similar patterns were also indicated for cirrhosis risk. Alcohol consumption was an effect modifier for the association between air pollution score and NAFLD risk, whereas body mass index modified the association for cirrhosis risk.

CONCLUSION

Long-term exposure to air pollution was associated with risks of NAFLD and cirrhosis among the UK population.

Interaction of sex and diabetes on the association between hemoglobin glycation index, hemoglobin A1c and serum uric acid

BACKGROUND

Hemoglobin glycation index (HGI), which is calculated by blood glucose and hemoglobin A1c(HbA1c), reflects the individual discrepancy in HbA1c. This study aimed to investigate the association between HGI/HbA1c and serum uric acid(SUA) stratified by sex and diabetes.

METHODS

The study recruited 33772 participants who underwent physical examinations between April 2016 and August 2021 in Beijing Chao-Yang Hospital. A random subsample of 3000 subjects was utilized to calculate the formula of HGI and data of the remaining 30772 participants were used for analysis. HGI and HbA1c were categorized according to quartiles (Q1, Q2, Q3, Q4), using Q1 as the reference. We used multiple linear regression and restricted cubic splines for data analysis.

RESULTS

30772 participants with a mean age of 44.4 years old were included in the analysis, 48.6% (N = 14944) of which were female and 7.7% (N = 2363) with diabetes. Associations of HGI, HbA1c and SUA were modified by sex and diabetes. The relationship between SUA levels and HGI was positive in women without diabetes, with one unit increase in HGI associating with an 11.3 μmol/L increase in SUA (P < 0.001) after adjusting for other confounders. On average, each one-unit increase in HbA1c was associated with a 14.3 μmol/L decrease in SUA in women with diabetes, a 14.9 μmol/L decrease in SUA in men with diabetes, and a 16.5 μmol/L increase in SUA in women without diabetes (all P < 0.001). The SUA levels in men without diabetes showed a bell-shaped relation with HbA1c, increasing as the HbA1c rose to around 5.7% and then falling with a further increase of HbA1c (P < 0.001).

CONCLUSIONS

SUA levels were inversely correlated with HbA1c in diabetic patients, also in men with prediabetes (HbA1c ≥ 5.7%), but positively correlated with HbA1c and HGI in women without diabetes. Glycemic control may help to reduce the risk of hyperuricemia in non-diabetes women.

Microvascular Burden and Incident Heart Failure Among Middle-Aged and Older Adults With Type 1 or Type 2 Diabetes

OBJECTIVE

To examine the association between microvascular disease (MVD) and risk of heart failure (HF) among individuals with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM).

RESEARCH DESIGN AND METHODS

We included 1,713 and 28,624 participants with T1DM and T2DM, respectively, from the UK Biobank who were free of HF during enrollment. MVD burden reflected by the presence of retinopathy, peripheral neuropathy, and chronic kidney disease (CKD) at baseline was prospectively evaluated for the association with incidence of HF. Hazard ratios (HRs) and 95% CIs of HF were estimated by Cox regression models adjusted for multiple traditional risk factors.

RESULTS

There were 145 and 2,515 incident cases of HF recorded among participants with T1DM and T2DM, respectively, during a median follow-up of 11.5 years. The association between the number of MVD and HF was stronger among participants with T1DM than among those with T2DM (P for interaction <0.001). Compared with participants with no MVD, those with all three MVD had an adjusted HR (95% CI) of 11.37 (5.62, 22.99) in T1DM and 3.66 (2.74, 4.88) in T2DM. In T1DM, HRs (CIs) were 2.69 (1.75, 4.14) for retinopathy, 2.11 (1.38, 3.23) for peripheral neuropathy, and 2.21 (1.53, 3.18) for CKD. The corresponding estimates in T2DM were 1.24 (1.13, 1.36), 1.63 (1.36, 1.96), and 1.73 (1.59, 1.89), respectively.

CONCLUSIONS

While a heavier burden of MVD was associated with excess risk of HF both in T1DM and T2DM, the association was evidently more pronounced in T1DM.

Duration of Diabetes, Glycemic Control, and Risk of Heart Failure Among Adults With Diabetes: A Cohort Study

CONTEXT

The influences of diabetes duration and glycemic control and their potential interplays on the risk of heart failure (HF) remain unclear.

OBJECTIVE

This work aimed to investigate the association of diabetes duration and glycemic control with the risk of HF.

METHODS

A total of 23 754 individuals with diabetes but without HF during the baseline recruitment of UK Biobank were included in this study. Duration of diabetes was self-reported, and the status of glycemic control was reflected by glycated hemoglobin A1c (HbA1c) levels. Their associations with incident HF were assessed using multivariate Cox models adjusting for traditional risk factors.

RESULTS

Duration of diabetes and HbA1c levels both were positively associated with the risk of HF. The hazard ratios (HRs) (95% CI) for diabetes durations of 5 to less than 10, 10 to less than 15, and 15 years or more were 1.09 (0.97-1.23), 1.13 (0.97-1.30), and 1.32 (1.15-1.53), respectively (vs < 5 years); and the HRs for HbA1c of 53.0 to less than 58.5 mmol/mol (7.0% to < 7.5%), 58.5 to less than 63.9 mmol/mol (7.5% to < 8.0%), and 63.9 mmol/mol or greater (8.0%) were 1.15 (1.02-1.31), 1.07 (0.91-1.26), and 1.46 (1.30-1.65), respectively (vs < 53.0 mmol/mol [7.0%]). Individuals with the longest disease duration (≥ 15 years) and poorer glycemic control (HbA1c  ≥ 63.9 mmol/mol [8.0%]) had a particularly higher risk of HF (P for interaction = .026).

CONCLUSION

The risk of HF among individuals with diabetes increases with a longer duration of diabetes and increasing HbA1c levels. This finding may contribute to the individualized prevention of HF in patients with diabetes if being considered in clinical practices and policy-making.

Association between diabetes duration and 1-year prognosis of stroke: A national registry study

BACKGROUND AND PURPOSE

Diabetes mellitus is a strong independent risk factor for stroke recurrence. However, the association between diabetes duration and the prognosis of stroke remains uncertain. We aimed to characterize whether an association exists between diabetes duration and stroke outcomes in patients with ischemic stroke or transient ischemic attack (TIA).

METHODS

Between 2015 and 2018, 14,674 patients with ischemic stroke or TIA within 7 days and older than 18 years from the Third China National Stroke Registry (CNSR-III) were included in this analysis. Diabetes duration at baseline was collected by face-to-face interviews and further categorized into groups of without diabetes, diabetes < 4, 4 to <8 and ≥8 years. The association between diabetes duration and clinical outcomes, including stroke recurrence, poor function outcome (modified Rankin Scale score of 3-6), and all-cause mortality at the 1-year follow-up after stroke onset, was evaluated by a multivariable Cox proportional hazard regression model, competing risk model and logistic regression model with adjustment for demographic and clinical features.

RESULTS

Among the 14,674 patients included, the average age was 62.0 years, and 68.5% were male. There were 1419 (9.7%) patients who had stroke recurrence, 1912 (13.0%) who had poor function outcome, and 478 (3.3%) who had all-cause mortality at the 1-year follow-up. After adjusting for potential covariates, a diabetes duration ≥8 years was associated with an increased risk of 1-year stroke recurrence (adjusted hazards ratio [HR], 1.31; 95% CI, 1.05-1.64; p = .02) in comparison to those without Diabetes mellitus. Using a competing risk regression model, a diabetes duration ≥8 years was a significant risk factor for stroke recurrence (HR, 1.31; 95% CI, 1.12-1.53). In contrast, there was no significant association between diabetes duration < 4, 4 to <8 years and clinical outcomes.

CONCLUSIONS

Long-term diabetes duration (≥8 years), but not short-term diabetes duration, was associated with an increased risk of 1-year stroke recurrence in patients with ischemic stroke or TIA.

Global disease burden of stroke attributable to high fasting plasma glucose in 204 countries and territories from 1990 to 2019: An analysis of the Global Burden of Disease Study

BACKGROUND

High fasting plasma glucose (HFPG) is the leading risk factor contributing to the increase of stroke burden in the past three decades. However, the global distribution of stroke burden specifically attributable to HFPG was not studied in depth. Therefore, we analyzed the HFPG-attributable burden in stroke and its subtypes in 204 countries and territories from 1990 to 2019.

METHODS

Detailed data on stroke burden attributable to HFPG were obtained from the Global Burden of Disease Study 2019. The numbers and age-standardized rates of stroke disability-adjusted life years (DALYs), deaths, years lived with disability, and years of life lost between 1990 and 2019 were estimated by age, sex, and region.

RESULTS

In 2019, the age-standardized rate of DALYs (ASDR) of HFPG-attributable stroke was 354.95 per 100 000 population, among which 49.0% was from ischemic stroke, 44.3% from intracerebral hemorrhage, and 6.6% from subarachnoid hemorrhage. The ASDRs of HFPG-attributable stroke in lower sociodemographic index (SDI) regions surpassed those in higher SDI regions in the past three decades. Generally, the population aged over 50 years old accounted for 92% of stroke DALYs attributable to HFPG, and males are more susceptible to HFPG-attributable stroke than females across their lifetime.

CONCLUSIONS

Successful key population initiatives targeting HFPG may mitigate the stroke disease burden. Given the soaring population-attributable fractions of HFPG for stroke burden worldwide, each country should assess its disease burden and determine targeted prevention and control strategies.

Ambient Air Pollutants and Incident Microvascular Disease: A Cohort Study

Little is known about the links between long-term exposure to air pollution and risk of incident microvascular disease (retinopathy, peripheral neuropathy, and chronic kidney disease). This study included 396 014 UK residents free of microvascular disease and macrovascular disease at baseline. Annual means of PM2.5, PM2.5-10, PM10, NO2, and NOx were assessed by land use regression models for each participant. A weighted air pollution score was generated from PM10 and NOx. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). During a median follow-up of 11.7 years, 14 327 composite microvascular disease occurred. While none of the air pollutants showed any statistically significant association with the risk of retinopathy, all the air pollutants were linked to the risk of peripheral neuropathy and chronic kidney disease. The adjusted-HRs (95% CIs) for each interquartile range increase in air pollution score were 1.07 (1.05, 1.09), 1.01 (0.94, 1.07), 1.13 (1.08, 1.19), and 1.07 (1.05, 1.10) for overall microvascular disease, retinopathy, peripheral neuropathy, and chronic kidney disease, respectively. In conclusion, long-term exposure to overall air pollution was associated with higher risks of peripheral neuropathy and chronic kidney disease among the general UK population.

Differential effects of treatment targets on risks of adverse outcomes according to diabetes duration, age and complications: Can these characteristics be used to individualize diabetes treatment? The Rio de Janeiro type 2 diabetes cohort

AIMS

To investigate interactions between more/less strict treatment targets (HbA_1c, systolic blood pressure, LDL-cholesterol) and clinical characteristics (age, diabetes duration and presence of complications) for occurrence of cardiovascular/microvascular complications and mortality in type 2diabetes.

METHODS

690 individuals were followed-up for 10 years (median). Interactions between treatment targets, estimated as mean values during the first 2-years, and clinical characteristics were tested in multivariable Cox regressions adjusted for other risk factors. Hazard ratios (HRs) were estimated in stratified analyses for cardiovascular/microvascular outcomes and mortality.

RESULTS

During follow-up, 214 patients had a cardiovascular event (175 MACEs); and 265 died (132 cardiovascular deaths); there were 206 renal, 161 retinopathy and 181 peripheral neuropathy events. There were interactions between treatment parameters and clinical characteristics, in most of them the HRs were higher in older individuals, in those with longer diabetes durations and with complications, particularly for the cardiovascular outcomes and mortality. For microvascular outcomes the opposite was observed. For cardiovascular mortality, the HRs of higher HbA_1c were 1.31 (1.08-1.58) and 1.09 (0.88-1.34), respectively with longer/shorter diabetes duration (p-for-interaction 0.11); and 1.43 (1.14-1.79) and 1.02 (0.85-1.23) in older/younger individuals (p-for-interaction 0.019).

CONCLUSIONS

Our findings do not support less strict treatment targets for older individuals, with longer diabetes duration or with complications, particularly for cardiovascular and mortality prevention.

Predictors of mortality among patients with type 2 diabetes in Jordan

BACKGROUND

Diabetes Mellitus (DM) is a common metabolic disease associated with increased risk of mortality.

OBJECTIVE

The aim of this study was to examine predictors of mortality among patients with type 2 diabetes in the north of Jordan.

METHODS

Electronic data files for diabetes patients admitted between the period of 2014-2018 at a tertiary center in the north of Jordan were reviewed. Patient's characteristics, clinical and laboratory data, use of medications and mortality rate were collected.

RESULTS

Mean age of patients (n = 957) was 60.99 ± 0.37 (mean ± sem). Most of patients had multiple risk factors and underlying cardiovascular diseases (CVDs). Mortality rate was 10.1%. Univariate predictors of mortality included age, chronic kidney disease (CKD), acute kidney injury, hypertension, heart failure (HF), coronary artery disease, venous thromboembolism (VTE), stroke, atrial fibrillation (AF), and chronic obstructive pulmonary disease (COPD). As the number of CVDs increases, mortality rate also increases (Odd ratio 2.0, p < 0.0001). Use of insulin, aspirin, ACEi/ARBS, beta blockers, and diuretics were also associated with mortality. Fasting glucose and percentage of glycated hemoglobin were not associated with mortality. By multivariable logistic regression analysis adjusting for confounders and collinearity; age, HF, AF, COPD, VTE, and CKD were associated with mortality.

CONCLUSION

Key risk factors of mortality are CVDs and CKD indicating that the primary step of management should focus on optimizing risk factors to prevent diabetes complications and death.

Duration of Diabetes and Incident Heart Failure: The ARIC (Atherosclerosis Risk In Communities) Study

OBJECTIVES

This study assessed the association of diabetes duration with incident heart failure (HF).

BACKGROUND

Diabetes increases HF risk. However, the independent effect of diabetes duration on incident HF is unknown.

METHODS

We included 9,734 participants (mean age 63 years, 58% women, 22% Black) at ARIC (Atherosclerosis Risk In Communities) Visit 4 (1996-1998) without HF or coronary heart disease. We calculated diabetes duration at Visit 4 (baseline), utilizing diabetes status at the first 4 ARIC visits spaced 3 years apart, and self-reported diagnosis date for those with diabetes diagnosed before Visit 1. We used Cox regression to estimate associations of diabetes duration with incident HF, accounting for intercurrent coronary heart disease and other risk factors. We performed analyses stratified by age (<65 years or ≥65 years), race, sex, and glycemic control (hemoglobin A1C [HbA1C] consistently <7%, vs HbA1C ≥7%), with tests for interaction.

RESULTS

Over 22.5 years of follow-up, there were 1,968 HF events. Compared to those without diabetes, HF risk rose with longer diabetes duration, with the highest risk among those with ≥15 y diabetes duration (HR: 2.82; 95% CI: 2.25-3.63). Each 5-year increase in diabetes duration was associated with a 17% (95% CI: 11-22) relative increase in HF risk. Similar results were observed across HF subtypes. The HF and diabetes duration associations were stronger among those aged <65 years, those with HbA1C ≥7%, those with a body mass index ≥30 kg/m2, women, and Blacks (all P interactions <0.05).

CONCLUSIONS

Delaying diabetes onset may augment HF prevention efforts, and therapies to improve HF outcomes might target those with long diabetes duration.

Relationship Between Skeletal Muscle Mass to Visceral Fat Area Ratio and Cardiovascular Risk in Type 2 Diabetes

PURPOSE

Either visceral fat or muscle mass is identified to be correlated with cardiometabolic diseases, especially in type 2 diabetes (T2DM). But, the synergistical effect of visceral fat along with skeletal muscle on the risk of cardiovascular diseases (CVD) in T2DM still remains controversial. Thus, we investigated the relationship between skeletal muscle mass to visceral fat area ratio (SVR) and 10-yr CVD risk scores.

PATIENTS AND METHODS

A total of 291 T2DM patients aged 40-80 years were enrolled in the current study. SVR was evaluated based on bioelectrical impedance measurements. Both Framingham risk score system and China-PAR risk model were applied to estimate future 10-yr CVD risk in T2DM population.

RESULTS

The 10-yr CVD risk scores increased with the decreased SVR tertiles in T2DM (All P<0.001). SVR value was obviously lower in the high-risk group than that of low- or moderate-risk group (All P<0.05). However, no significant differences were observed in BMI among different CVD risk groups. Besides, SVR was correlated with Framingham risk score (r=-0.408; P<0.001) and China-PAR risk score (r=-0.336; P<0.001). HOMA-IR, triglycerides and blood pressure were also inversely related to SVR (All P<0.05). Furthermore, SVR value was independently correlated with both Framingham 10-yr CVD risk score (β=-0.074, P=0.047) and China-PAR risk score (β=-0.100, P=0.004) after adjustment for confounding factors, including age, gender, BMI, FPG, HbA1c, diabetes duration, albumin, creatinine, uric acid, smoking, blood pressure and blood lipid. The linear regression analysis was also conducted for men and women, respectively, indicating that the negative relationship between SVR and 10-yr CVD risk was observed in men but not in women.

CONCLUSION

T2DM populations who have lower SVR value are more likely to increase CVD risk. SVR levels show marked and inverse correlation with estimated 10-yr CVD risk in T2DM, indicating that SVR could be a valuable parameter to assess the risk of CVD events in clinical practice, especially in men.