Risk of Macrovascular and Microvascular Disease in Diabetes Diagnosed Using Oral Glucose Tolerance Test With and Without Confirmation by Hemoglobin A1c: The Whitehall II Cohort Study

Unveiling the hidden risks: albumin-corrected anion gap as a superior marker for cardiovascular mortality in type 2 diabetes: insights from a nationally prospective cohort study

Aims

Hypoalbuminemia can lead to underestimations of the true anion gap levels. There are few data on albumin-corrected serum anion gap (ACAG) status and mortality in the diabetes. The study aimed to examine the association between ACAG and all-cause, cardiovascular, and cancer mortality in type 2 diabetes (T2D) patients.

Methods

Herein, 8,161 diabetic adults were included in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. National Mortality Index (NDI) data were used for determining mortality outcomes through 31 December 2019. Cox proportional hazards models were used to estimate the risk of all-cause, cardiovascular, and cancer mortality. We conducted a mediation analysis using the counterfactual framework method to estimate how ACAG may be indirectly associated with increased mortality risk through mediators.

Results

A total of 2,309 deaths were documented over 8,161 person-years of follow up, including 659 cardiovascular and 399 cancer deaths. In multivariate analyses, higher ACAG levels had a significant correlation with an increase in all-cause (HR, 1.58; 95% CI, 1.38-1.81; P=0.001), cardiovascular (HR, 1.34; 95% CI, 1.05-1.72; P=0.019), and cancer (HR, 1.41; 95% CI, 1.02-1.96; P=0.018) mortality rates than the controls. Results of the mediation analysis showed that altered levels of C-reactive protein and estimated glomerular filtration rate (eGFR) explained 7.867% and 7.669% of the relation between serum ACAG and all-cause mortality, respectively (all P<0.05). Total cholesterol and HbA1c mediated 15.402% and 14.303% of the associations with cardiovascular mortality, respectively (all P<0.05).

Conclusions

Higher ACAG levels were significantly associated with increased all-cause, cardiovascular, and cancer mortality. Researchers suggest that patients with T2D who control ACAG in a normal state may be at a lower risk of mortality.

Routine measurement of cardiometabolic disease risk factors in primary care in England before, during, and after the COVID-19 pandemic: A population-based cohort study

BACKGROUND

This study estimated to what extent the number of measurements of cardiometabolic risk factors (e.g., blood pressure, cholesterol, glycated haemoglobin) were impacted by the COVID-19 pandemic and whether these have recovered to expected levels.

METHODS AND FINDINGS

A cohort of individuals aged ≥18 years in England with records in the primary care-COVID-19 General Practice Extraction Service Data for Pandemic Planning and Research (GDPPR) were identified. Their records of 12 risk factor measurements were extracted between November 2018 and March 2024. Number of measurements per 1,000 individuals were calculated by age group, sex, ethnicity, and area deprivation quintile. The observed number of measurements were compared to a composite expectation band, derived as the union of the 95% confidence intervals of 2 estimates: (1) a projected trend based on data prior to the COVID-19 pandemic; and (2) an assumed stable trend from before pandemic. Point estimates were calculated as the mid-point of the expectation band. A cohort of 49,303,410 individuals aged ≥18 years were included. There was sharp drop in all measurements in March 2020 to February 2022, but overall recovered to the expected levels during March 2022 to February 2023 except for blood pressure, which had prolonged recovery. In March 2023 to March 2024, blood pressure measurements were below expectation by 16% (-19 per 1,000) overall, in people aged 18 to 39 (-23%; -18 per 1,000), 60 to 79 (-17%; -27 per 1,000), and ≥80 (-31%; -57 per 1,000). There was suggestion that recovery in blood pressure measurements was socioeconomically patterned. The second most deprived quintile had the highest deviation (-20%; -23 per 1,000) from expectation compared to least deprived quintile (-13%; -15 per 1,000).

CONCLUSIONS

There was a substantial reduction in routine measurements of cardiometabolic risk factors following the COVID-19 pandemic, with variable recovery. The implications for missed diagnoses, worse prognosis, and health inequality are a concern.

Prevalence and determinants of diagnosed and undiagnosed diabetes in Hungary based on the nationally representative cross-sectional H-UNCOVER study

AIMS

To estimate prevalence of diagnosed (dDM) and undiagnosed diabetes (uDM) in Hungary and investigate determinants of uDM.

METHODS

Data was obtained from the nationally representative H-UNCOVER study. As laboratory measurements were available for 11/19 Hungarian counties, n = 5,974/17,787 people were eligible. After exclusions, 5,673 (representing 4,976,097 people) were included. dDM was defined by self-reporting, while uDM as negative self-reporting and elevated fasting glucose (≥7 mmol/l) and/or HbA1c (≥48 mmol/mol). Logistic regression for complex samples was used to calculate comparisons between dDM and uDM adjusted for age and BMI.

RESULTS

Diabetes prevalence was 12.0 %/11.9 % (women/men, 95 %CI:10.7-13.4 %/10.7-13.2 %), while 2.2 %/2.8 % (1.7-2.8 %/2.2-3.6 %) of women/men were uDM. While the proportion of uDM vs. dDM was similar for women ≥ 40, men in their forties had the highest odds for uDM. Neither unemployment (women/men OR:0.58 [0.14-2.45]/0.50 [0.13-1.92]), nor education level (tertiary vs. primary; women/men OR: 1.16 [0.53-2.56]/ 0.53 [0.24-1.18]) were associated with uDM. The risk of uDM was lower in both sexes with chronic morbidities.

CONCLUSIONS

We report higher prevalence of diabetes and undiagnosed diabetes than previous Hungarian estimates. The finding that socioeconomic factors are not associated to uDM suggests that universal health care could provide equitable access to diabetes diagnosis.

Impact of systematic diabetes screening on peri-operative infections in patients undergoing cardiac surgery

Detection of high glycated hemoglobin (A1c) is associated with worse postoperative outcomes, including predisposition to develop systemic and local infectious events. Diabetes and infectious Outcomes in Cardiac Surgery (DOCS) study is a retrospective case-control study aimed to assess in DM and non-DM cardiac surgery patients if a new screening and management model, consisting of systematic A1c evaluation followed by a specialized DM consult, could reduce perioperative infections and 30-days mortality. Effective July 2021, all patients admitted to the cardiac surgery of IRCCS ISMETT were tested for A1c. According to the new protocol, glucose values of patients with A1c ≥ 6% or with known diabetes were monitored. The diabetes team was activated to manage therapy daily until discharge or provide indications for the diagnostic-therapeutic process. Propensity score was used to match 573 patients managed according to the new protocol (the Screen+ Group) to 573 patients admitted before July 2021 and subjected to the traditional management (Screen-). Perioperative prevalence of infections from any cause, including surgical wound infections (SWI), was significantly lower in the Screen+ as compared with the Screen- matched patients (66 [11%] vs. 103 [18%] p = 0.003). No significant difference was observed in 30-day mortality. A1c analysis identified undiagnosed DM in 12% of patients without known metabolic conditions. In a population of patients undergoing cardiac surgery, systematic A1c evaluation at admission followed by specialist DM management reduces perioperative infectious complications, including SWI. Furthermore, A1c screening for patients undergoing cardiac surgery unmasks unknown DM and enhances risk stratification.

Causal Association of Arterial Stiffness With the Risk of Chronic Kidney Disease

Background

Previous studies on the direction of the association between arterial stiffness (AS) and chronic kidney disease (CKD) were inconsistent, leaving a knowledge gap in understanding the temporal sequence of the association.

Objectives

This study sought to assess the temporal and longitudinal relationship between AS and CKD.

Methods

The temporal relationship between AS measured by brachial ankle pulse wave velocity and CKD measured by estimated glomerular filtration rate (eGFR) was analyzed among 7,753 participants with repeated examinations in the Kailuan study using cross-lagged panel analysis. The longitudinal associations of AS status and vascular aging (VA) phenotype with incident CKD were analyzed among 10,535 participants.

Results

The adjusted cross-lagged path coefficient (β 1 = -0.03; 95% CI: -0.06 to -0.01; P < 0.0001) from baseline brachial ankle pulse wave velocity to follow-up eGFR was significantly greater than the path coefficient (β 2 = -0.01; 95% CI: -0.02 to 0.01; P = 0.6202) from baseline eGFR to follow-up brachial ankle pulse wave velocity (P < 0.0001 for the difference). During a median follow-up of 8.48 years, 953 cases of incident CKD (9.05%) occurred. After adjustment for confounders, borderline (HR: 1.17; 95% CI: 1.08-1.38) and elevated AS (HR: 1.39; 95% CI: 1.12-1.72) was associated a higher risk of CKD, compared with normal AS. Consistently, supernormal VA (HR: 0.76; 95% CI: 0.66-0.86) was associated with a decreased and early VA (HR: 1.36; 95% CI: 1.29-1.43) was associated with an increased risk of CKD, compared with normal VA.

Conclusions

AS appeared to precede the decrease in eGFR. Additionally, increased AS and early VA were associated with an increased risk of incident CKD.

Lower extremity arterial disease vs. coronary artery disease: mortality differences after revascularization

BACKGROUND AND AIMS

Patients undergoing revascularization for lower extremity arterial disease (LEAD) may face a higher risk of mortality than those with coronary artery disease (CAD). This study aimed to characterize the difference in mortality risk between patients undergoing revascularization for LEAD and CAD and identify associated factors.

METHODS

The 1-year database of 10 754 patients undergoing revascularization for CAD (n = 6349) and LEAD (n = 4405) was analysed. Poisson regression models were used to characterize interpopulation differences in mortality, adjusting for baseline clinical features, including age, sex, polyvascular disease, comorbidities, medications, and vulnerabilities.

RESULTS

Individuals with LEAD were older, were more likely to have polyvascular disease, had more comorbidities, and received fewer cardioprotective drugs than those with CAD. Vulnerabilities remained more common in the LEAD group even after adjusting for these clinical features. The crude risk ratio of mortality incidence for LEAD vs. CAD was 2.91 (95% confidence interval, 2.54-3.34), attenuated to 2.14 (1.83-2.50) after controlling for age, sex, and polyvascular disease. The percentage attenuation in the excessive mortality associated with LEAD was 29%. The stepwise addition of comorbidities, medications, and vulnerabilities as adjusting factors attenuated the incidence risk ratio to 1.48 (1.26-1.72), 1.33 (1.12-1.58), and 1.17 (0.98-1.39), respectively, and increased the percentage attenuation to 64%, 73%, and 86%, respectively.

CONCLUSIONS

Mortality risk was almost three-fold higher in patients undergoing revascularization for LEAD than in those with CAD. The excessive mortality was considerably attributable to inter-group differences in baseline characteristics, including potentially clinically or socially modifiable factors.

The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging

The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.

Predictive power of glycated hemoglobin in detecting severity of coronary artery disease in non-diabetic patients: A cross-sectional study in southern Iran

BACKGROUND

The relationship between hemoglobin A1c (HbA1c) levels and coronary artery disease (CAD) severity is still a matter of debate in non-diabetic patients. This study aimed to determine the association between HbA1c and the severity of CAD in non-diabetic patients.

METHODS

The present cross-sectional study was conducted in 2018-2019 on 133 non-diabetic patients with stable angina, unstable angina, or myocardial infarction (MI). They were selected through systematic random sampling. The data were collected by taking a complete medical history, calculating the SYNTAX score, and measuring HbA1c.

RESULTS

A SYNTAX score of >22 was significantly correlated with age, left ventricular ejection fraction, HbA1c, and total cholesterol. The mean SYNTAX score was higher in male patients, those with HbA1c >5.6, and patients with a primary clinical presentation of MI. The association between the SYNTAX score and HbA1c was found to be statistically significant (r = 0.659; P < .001). The odds of having a SYNTAX score of >22 for those with HbA1c >5.6 was 5.48 times higher than for those with HbA1c ≤ 5.6 (odds ratio [OR], 5.48; P < .001). The odds of three-vessel disease in individuals with an HbA1c level greater than 5.6 were found to be 4.80 times higher than in those with HbA1c levels at or below 5.6 (OR, 4.80; P = 0.002).

CONCLUSION

The present findings showed that HbA1c has the potential to predict the severity of CAD in non-diabetic individuals. HbA1c, even at levels within the normal range, was significantly correlated with SYNTAX scores.

Intermediate Hyperglycemia Increases the Risk of All-Cause Mortality in Premature Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention

Background

Hyperglycemia has been associated with an adverse prognosis in patients with premature coronary artery disease (CAD). However, whether the intermediate hyperglycemia status affects the risk of mortality in premature CAD patients treated with percutaneous coronary intervention (PCI), remains unclear.

Methods

We retrospectively included 14,585 premature CAD patients undergoing PCI from 2007 to 2020. Patients were divided into normal glycemia ( < 6%), intermediate hyperglycemia (6%-6.5%), and hyperglycemia ( ≥ 6.5%) according to hemoglobin A1c (HbA1c) level in whole blood. Follow-up all-cause mortality was defined as a primary outcome, and Cox proportional regression analysis was used to assess the association between glycemia status and the primary outcome.

Results

Among 14,585 premature CAD patients undergoing PCI (mean age 43.6 ± 7.6 years, 28.1% female), 2856 (19.6%) were diagnosed with intermediate hyperglycemia. Over a median follow-up of 4.62 years (2.72-7.19 years), patients with hyperglycemia were correlated with higher risk (hazard ratio [HR] 1.35, 95% confidence interval [CI] 1.19-1.54, p < 0.001) while patients with intermediate hyperglycemia were associated with intermediate mortality risk from all causes (HR 1.17, 95% CI 1.0-1.36, p = 0.049).

Conclusions

Intermediate hyperglycemia was positively associated with all-cause mortality risk in patients with premature CAD undergoing PCI. Active glucose-lowering therapy may be considered in these patients.

Clinical Trial Registration

NCT05050877.

Can prediabetes diagnosed using HemoglobinA1c or oral glucose tolerance test predict presence and severity of coronary artery disease in symptomatic patients?

We investigated whether prediabetes diagnosed by hemoglobinA1c (HbA1c) or oral glucose tolerance test (OGTT) could predict presence and severity of coronary artery disease (CAD) in symptomatic patients. The presence of plaque, stenosis, plaque characteristics, and coronary artery calcium (CAC) were evaluated by coronary CT angiography in 702 patients with suspicion of CAD. Patients were classified by glycemic status using the American Diabetes Association criteria for HbA1c and OGTT, and compared to their respective normal ranges. Prediabetes was observed in 24% by HbA1c and 72% by OGTT. Both prediabetes classifications were associated with increased presence of plaque, stenosis, calcified plaques, CAC >400, and a lower frequency of zero CAC compared to their respective normal range (all, p < 0.05). After adjusting for potential confounders, patients with HbA1c-prediabetes had an odds ratio of 2.1 (95% CI: 1.3-3.5) for CAC >400 and 1.5 (95% CI: 1.0-2.4) for plaque presence, while none of the associations for OGTT-prediabetes were significant. The receiver operating characteristic-curve for HbA1c-prediabetes showed an area under the curve of 0.81 for CAC >400 and 0.77 for plaque presence. Prediabetes defined by HbA1c predicts presence and severity of CAD. Although OGTT identified more patients with prediabetes, their risk of CAD were not explained by prediabetes using these diagnostic-criteria.

Prediabetes as a risk factor for new-onset atrial fibrillation: the propensity-score matching cohort analyzed using the Cox regression model coupled with the random survival forest

BACKGROUND

The glycemic continuum often indicates a gradual decline in insulin sensitivity leading to an increase in glucose levels. Although prediabetes is an established risk factor for both macrovascular and microvascular diseases, whether prediabetes is independently associated with the risk of developing atrial fibrillation (AF), particularly the occurrence time, has not been well studied using a high-quality research design in combination with statistical machine-learning algorithms.

METHODS

Using data available from electronic medical records collected from the National Taiwan University Hospital, a tertiary medical center in Taiwan, we conducted a retrospective cohort study consisting 174,835 adult patients between 2014 and 2019 to investigate the relationship between prediabetes and AF. To render patients with prediabetes as comparable to those with normal glucose test, a propensity-score matching design was used to select the matched pairs of two groups with a 1:1 ratio. The Kaplan-Meier method was used to compare the cumulative risk of AF between prediabetes and normal glucose test using log-rank test. The multivariable Cox regression model was employed to estimate adjusted hazard ratio (HR) for prediabetes versus normal glucose test by stratifying three levels of glycosylated hemoglobin (HbA1c). The machine-learning algorithm using the random survival forest (RSF) method was further used to identify the importance of clinical factors associated with AF in patients with prediabetes.

RESULTS

A sample of 14,309 pairs of patients with prediabetes and normal glucose test result were selected. The incidence of AF was 11.6 cases per 1000 person-years during a median follow-up period of 47.1 months. The Kaplan-Meier analysis revealed that the risk of AF was significantly higher in patients with prediabetes (log-rank p < 0.001). The multivariable Cox regression model indicated that prediabetes was independently associated with a significant increased risk of AF (HR 1.24, 95% confidence interval 1.11-1.39, p < 0.001), particularly for patients with HbA1c above 5.5%. The RSF method identified elevated N-terminal natriuretic peptide and altered left heart structure as the two most important risk factors for AF among patients with prediabetes.

CONCLUSIONS

Our study found that prediabetes is independently associated with a higher risk of AF. Furthermore, alterations in left heart structure make a significant contribution to this elevated risk, and these structural changes may begin during the prediabetes stage.

Insulin resistance mediates obesity-related risk of cardiovascular disease: a prospective cohort study

BACKGROUND

The mechanisms linking obesity to cardiovascular disease (CVD) are still not clearly defined. Individuals who are overweight or obese often develop insulin resistance, mediation of the association between obesity and CVD through the insulin resistance seems plausible and has not been investigated. This study aimed to evaluate whether and to what extend the effect of general and central obesity on cardiovascular disease (CVD) is mediated by insulin resistance.

METHODS

A total of 94,136 participants without CVD at baseline were recruited from the Kailuan study. Insulin resistance was evaluated by the triglyceride-glucose (TyG) index, calculating as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Mediation analysis using a new 2-stage regression method for survival data proposed by Valeri and VanderWeele was to explore the mediating effects of the TyG index on the association between obesity and CVD.

RESULTS

During a median follow-up of 13.01 years, we identified 7327 cases of CVD. Mediation analyses showed that 47.81% of the total association (hazard ratio [HR], 1.18; 95% confidence interval [CI], 1.12-1.24) between overweight and CVD was mediated through the TyG index (HR [indirect association], 1.07; 95% CI, 1.07-1.09), and the proportion mediated was 37.94% for general obesity. For central obesity, analysis by waist circumference, waist/hip, and waist/height categories yielded an attenuated proportion mediated of 32.01, 35.02, and 31.06% for obesity, taken normal weight as reference.

CONCLUSIONS

The association between obesity and CVD was mediated by TyG index, suggesting proper control of insulin resistance can be effective to reduce the effects of obesity on CVD.