Cardiovascular Risk Age Reflects Arterial Status: Middle-Aged People Showed Equivalent Arterial Stiffness to Older People in the Same Risk Category.

AIM: The concept of risk age may help overcome an excessive weight of age in cardiovascular risk functions. This study aimed to evaluate the equivalence of risk age with arterial stiffness by comparing people with increased risk age and individuals with the same chronological and risk age. In order to materialize this aim, we categorized individuals based on cardiovascular risk and compared groups with increased risk factors (other than age) and groups with normal levels. METHODS: This is a cross-sectional population-level study carried out in Girona province within the context of the REGICOR study (Girona Heart Registry). In this study, individuals aged 35-90 years who had a brachial-ankle pulse wave velocity measurement and with no previous cardiovascular disease or peripheral arterial disease were included. Cardiovascular risk was estimated with the FRESCO (in 35-79 year-olds), SCORE2 (in 35-69 year-olds), and SCORE2-OP (in 70-90 year-olds) functions and categorized to calculate and compare (in each category) the median chronological age in the group with increased risk factors and the reference. Arterial stiffness was assessed with the brachial-ankle pulse wave velocity (baPWV). The analyses were carried out separately by sex. RESULTS: In this study, 2499 individuals were included, with a mean age of 59.7 and 46.9% of men. Men presented worse health condition, including a higher mean cardiovascular disease risk score. Both men and women with increased levels of risk factors showed worse health condition than the respective men and women with optimal levels. In each risk category, the groups with higher risk age than chronological age (increased risk factors) were similar in baPWV values to the groups with the same chronological and risk ages (reference), who were consistently older. CONCLUSIONS: In categories with the same cardiovascular risk, the arterial stiffness of participants with a higher risk factor burden (increased risk age) matched that of older participants with the rest of the risk factors at optimal levels (same chronological and risk age). These results support the guidelines on the utilization of risk age to explain heightened cardiovascular risk, particularly among individuals in middle age.

Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models.

BACKGROUND: In younger individuals, low absolute risk of cardiovascular disease (CVD) may conceal an increased risk age and relative risk of CVD. Calculation of risk age is proposed as an adjuvant to absolute CVD risk estimation in European guidelines. We aimed to compare the discriminative ability of available risk age models in prediction of CVD in rheumatoid arthritis (RA). Secondly, we also evaluated the performance of risk age models in subgroups based on RA disease characteristics. METHODS: RA patients aged 30-70 years were included from an international consortium named A Trans-Atlantic Cardiovascular Consortium for Rheumatoid Arthritis (ATACC-RA). Prior CVD and diabetes mellitus were exclusion criteria. The discriminatory ability of specific risk age models was evaluated using c-statistics and their standard errors after calculating time until fatal or non-fatal CVD or last follow-up. RESULTS: A total of 1974 patients were included in the main analyses, and 144 events were observed during follow-up, the median follow-up being 5.0 years. The risk age models gave highly correlated results, demonstrating R2 values ranging from 0.87 to 0.97. However, risk age estimations differed > 5 years in 15-32% of patients. C-statistics ranged 0.68-0.72 with standard errors of approximately 0.03. Despite certain RA characteristics being associated with low c-indices, standard errors were high. Restricting analysis to European RA patients yielded similar results. CONCLUSIONS: The cardiovascular risk age and vascular age models have comparable performance in predicting CVD in RA patients. The influence of RA disease characteristics on the predictive ability of these prediction models remains inconclusive.

Emission of black carbon from rural households kitchens and assessment of lifetime excess cancer risk in villages of North India.

The use of biomass solid fuels (BSFs) for cooking, contribute significantly to the household air pollution (HAP) in developing countries. Emissions resulting from a variety of BSFs (cow dung cakes, wood, and agriculture residues) contain a significant amount of air pollutants, which are now recognized for their role in climatic change and adverse human health impacts. In the current study, daily variations in black carbon (BC) or Short-Lived Climate Forcer concentrations were studied from rural household kitchens using portable aethalometer. The hourly average concentration of BC ranges from 5.4 µg·m-3 to 34.9 µg·m-3 for various types of household kitchens. The peak levels of BC were found to be significantly higher, when compared to World Health Organization PM2.5 limits for ambient air and hence pose a threat to the health of the vulnerable population, i.e., women, children, older adults and those who have health problems. The study also highlights the variation of BC concentration in different kitchen type. The average BC concentration in indoor, outdoor and semi-open kitchen was observed to be 14.54, 14.28 and 24.69 µg·m-3, respectively. The excess lifetime carcinogenic risk for cooking 4 h/day in these kitchens in the North Indian villages was estimated to be 1.25 × 10-7, 1.22 × 10-7, and 2.12 × 10-7 respectively. Age-specific excess cancer deaths due to BC exposure were measured highest in children below four years of age in Chandigarh, India. Hence, there is a need to shift the BSF users to clean fuel alternatives to reduce the exposure to HAP. This can be achieved by generating local/regional evidences of BSFs associated health risks to support policy interventions. Further, more research is required to improve the air quality in indoor micro-environments and specifically in kitchens. NOVELTY: The first study reporting the near real-time measurements of BC from different types of rural households kitchens of north India. Diurnal pattern of BC concentration was also studied including the effect of chimney, ventilation and kitchen size on observed BC concentration. This study also estimates lifetime excess cancer risk due to BC exposure in rural households in India. The recent 'Global Burden of Disease' report identifies household air pollutants as a major cause of disease and disability in Asia. The study will help to plan suitable policies and intervention to reduce household air pollution in the region.