Effects of individual and integrated cumulative burden of blood pressure, glucose, low-density lipoprotein cholesterol, and C-reactive protein on cardiovascular risk

Life's Essential 8 Cardiovascular Health Score and Cardiorespiratory Fitness in the Community

BACKGROUND

The relation of cardiorespiratory fitness (CRF) to lifestyle behaviors and factors linked with cardiovascular health remains unclear. We aimed to understand how the American Heart Association's Life's Essential 8 (LE8) score (and its changes over time) relate to CRF and complementary exercise measures in community-dwelling adults.

METHODS AND RESULTS

Framingham Heart Study (FHS) participants underwent maximum effort cardiopulmonary exercise testing for direct quantification of peak oxygen uptake (V̇O2). A 100-point LE8 score was constructed as the average across 8 factors: diet, physical activity, nicotine exposure, sleep, body mass index, lipids, blood glucose, and blood pressure. We related total LE8 score, score components, and change in LE8 score over 8 years with peak V̇O2 (log-transformed) and complementary CRF measures. In age- and sex-adjusted linear models (N=1838, age 54±9 years, 54% women, LE8 score 76±12), a higher LE8 score was associated favorably with peak V̇O2, ventilatory efficiency, resting heart rate, and blood pressure response to exercise (all P<0.0001). A clinically meaningful 5-point higher LE8 score was associated with a 6.0% greater peak V̇O2 (≈1.4 mL/kg per minute at sample mean). All LE8 components were significantly associated with peak V̇O2 in models adjusted for age and sex, but blood lipids, diet, and sleep health were no longer statistically significant after adjustment for all LE8 components. Over an ≈8-year interval, a 5-unit increase in LE8 score was associated with a 3.7% higher peak V̇O2 (P<0.0001).

CONCLUSIONS

Higher LE8 score and improvement in LE8 over time was associated with greater CRF, highlighting the importance of the LE8 factors in maintaining CRF.

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.

Association of the cumulative triglyceride-glucose index with major adverse cardiovascular events in patients with type 2 diabetes

BACKGROUND

The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance and is associated with major adverse cardiovascular events (MACEs) in patients with type 2 diabetes mellitus (T2DM). However, the long-term effect of the TyG index on the incidence of MACEs remains unclear. We aimed to investigate the association between the cumulative TyG index and the risk of MACEs in patients with T2DM.

METHODS

This post-hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial assessed patients' (T2DM > 3 months) cumulative TyG index and MACE data from the study database. Five fasting blood glucose and triglyceride measurements, at baseline and the first four visits, were taken from 5695 participants who had not experienced MACEs. Cumulative exposure to the TyG index was calculated as the weighted sum of the mean TyG index value for each time interval (value × time). Multivariable-adjusted Cox proportional hazard models and restricted cubic spline analysis were used to determine the association between the cumulative TyG index and MACEs. The incremental predictive value of the cumulative TyG index was further assessed.

RESULTS

Over a median follow-up of 5.09 years, 673 (11.82%) MACEs occurred, including 256 (4.50%) cardiovascular disease (CVD) deaths, 288 (5.06%) non-fatal myocardial infarctions (MIs), and 197 (3.46%) strokes. The risk of developing MACEs increased with the cumulative TyG index quartile. After adjusting for multiple potential confounders, the hazard ratios for the very high cumulative TyG index group versus the low group were 1.59 (95% confidence interval [CI], 1.17-2.16), 1.97 (95% CI 1.19-3.26), and 1.66 (95% CI 1.02-2.70) for overall MACEs, CVD death, and non-fatal MI, respectively. Restricted cubic spline analysis also showed a cumulative increase in the risk of MACEs with an increase in the magnitude of the cumulative TyG index. The addition of the cumulative TyG index to a conventional risk model for MACEs improved the C-statistics, net reclassification improvement value, and integrated discrimination improvement value.

CONCLUSIONS

In patients with T2DM, the cumulative TyG index independently predicts the incidence of MACEs, and monitoring the long-term TyG index may assist with optimized-for-risk stratification and outcome prediction for MACEs. Trial registration URL: http://www.

CLINICALTRIALS

gov . Unique identifier: NCT00000620.

Cumulative burden of lipid profiles predict future incidence of ischaemic stroke and residual risk

Objectives

Incident ischaemic stroke (IS) risk may increase not only with lipids concentration but also with longer duration of exposure. This study aimed to investigate the impact of cumulative burden of lipid profiles on risk of incident IS.

Methods

A total of 43 836 participants were enrolled who participated in four surveys during 2006–2013. Individual cumulative lipid burden was calculated as number of years (2006–2013) multiplied by the levels of low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), non-HDL-C and triglyceride (TG), respectively. The primary outcome was defined as the incident IS during 2012–2017.

Results

During 4.67 years (±0.70 years) follow-up on average, we identified 1023 (2.33%) incident IS. Compared with respective reference groups, the HRs (95% CIs) of the upper tertile in cumulative TG burden, cumulative LDL-C burden, cumulative TC burden and cumulative non-HDL-C burden were 1.26 mmol/L (1.02–1.55 mmol/L), 1.47 mmol/L (1.25–1.73 mmol/L), 1.33 mmol/L (1.12–1.57 mmol/L) and 1.51 mmol/L (1.28–1.80 mmol/L) for incidence of IS, respectively. However, this association was not significant in cumulative HDL-C burden and IS (HR: 1.09; 95% CI: 0.79 to 1.52), after adjustment for confounding variables. Among 16 600 participants with low cumulative LDL-C burden, HRs (95% CI) for TC, TG, non-HDL-C and HDL-C with IS were 1.63 mmol/L (1.03–2.57 mmol/L), 1.65 mmol/L (1.19–2.31 mmol/L), 1.57 mmol/L (1.06–2.32 mmol/L) and 0.98 mmol/L (0.56–1.72 mmol/L), respectively.

Conclusions

We observed the correlation between cumulative burden of lipid profiles, except for cumulative burden of HDL-C, with the risk of incident IS. Cumulative burden of TC, TG and non-HDL-C may still predict IS in patients with low cumulative LDL-C burden.

Trial registration number

ChiCTR-TNRC-11001489.