Education and cardiovascular disease (CVD) are inversely associated but the mediating factors have not been totally elucidated. Our aim was to analyze the mediating role of modifiable risk factors. Cohort study using the REGICOR population cohorts. Participants without previous CVD were included (n = 9226). Marginal structural models were used to analyze the association between education and CVD incidence at 6 years of follow-up. Mediation by modifiable risk factors (diabetes, dyslipidemia, hypertension, smoking, body mass index, and physical activity) was assessed using the counterfactual framework. Participants with a university degree had a CVD incidence hazard ratio (HR) of 0.51 (95% confidence interval (CI) = 0.30, 0.85), compared to those with primary or lower education. Only hypertension, BMI, and diabetes mediated the association between education and CVD incidence, accounting for 26% of the association (13.9, 6.9, and 5.2%, respectively). Sensitivity analyses showed that hypertension was the strongest mediator (average causal mediation effect [95% CI] = increase of 2170 days free of CVD events [711, 4520]). The association between education and CVD incidence is partially mediated by hypertension, BMI, and diabetes. Interventions to decrease the prevalence of these risk factors could contribute to diminish the CVD inequalities associated with educational level.

Objective: To examine the association between chronic immune-mediated diseases (rheumatoid arthritis, systemic lupus erythematosus or the following chronic immune-mediated inflammatory diagnoses groups: inflammatory bowel diseases, inflammatory polyarthropathies, systemic connective tissue disorders and spondylopathies) and the 6-year coronary artery disease, stroke, cardiovascular disease incidence and overall mortality; and to estimate the population attributable fractions for all four end-points for each chronic immune-mediated inflammatory disease. Methods: Cohort study of individuals aged 35–85 years, with no history of cardiovascular disease from Catalonia (Spain). The coded diagnoses of chronic immune-mediated diseases and cardiovascular diseases were ascertained and registered using validated codes, and date of death was obtained from administrative data. Cox regression models for each outcome according to exposure were fitted to estimate HRs in two models ¹ : after adjustment for sex, age, cardiovascular risk factors and ² further adjusted for drug use. Population attributable fractions were estimated for each exposure. Results: Data were collected from 991 546 participants. The risk of cardiovascular disease was increased in systemic connective tissue disorders (model 1: HR=1.38 (95% CI 1.21 to 1.57) and model 2: HR=1.31 (95% CI 1.15 to 1.49)), rheumatoid arthritis (HR=1.43 (95% CI 1.26 to 1.62) and HR=1.31 (95% CI 1.15 to 1.49)) and inflammatory bowel diseases (HR=1.18 (95% CI 1.06 to 1.32) and HR=1.12 (95% CI 1.01 to 1.25)). The effect of anti-inflammatory treatment was significant in all instances (HR=1.50 (95% CI 1.24 to 1.81); HR=1.47 (95% CI 1.23 to 1.75); HR=1.43 (95% CI 1.19 to 1.73), respectively). The population attributable fractions for all three disorders were 13.4%, 15.7% and 10.7%, respectively. Conclusion: Systemic connective tissue disorders and rheumatoid arthritis conferred the highest cardiovascular risk and population impact, followed by inflammatory bowel diseases.

Objective To assess the usefulness of hand-held cardiac ultrasound (HCU) performed by family doctors (FDs) in primary care, with web-based remote expert support interpretation, in a cohort of patient with symptoms or physical examination signs suggestive of cardiovascular disease. Methods This prospective observational study included 1312 consecutive patients, in three remote primary care areas, with symptoms or physical examination signs suggestive of cardiovascular disease. In 859 patients (group A), FDs had indicated conventional echocardiography (CE), and in 453 (Group B) the study was performed to complement the physical examination. HCU was carried out by 14 FDs after a short training period. The scans and preliminary FD reports were uploaded on a web-based program for remote expert support interpretation in <24 h. Results Experts considered HCU to be inconclusive in 116 (8.8%) patients. FD and expert agreement on diagnosis was moderate (K=0.40–0.70) except in mitral stenosis (K=0.29) and in left atrial dilation (K=0.38). Diagnostic agreement between expert interpretation and CE was good (K=0.66–0.85) except in mitral stenosis (K=0.43). After remote expert interpretation, conventional echocardiograms were finally requested by FDs in only 276 (32.1%) patients, and discharges increased by 10.2%. Furthermore, significant heart diseases were diagnosed in 32 (7%) patients of group B. Conclusions HCU performed at the point of care by FDs with remote expert support interpretation using a web-based system is feasible, rapid and useful for detecting significant echocardiographic abnormalities and reducing the number of unnecessary echocardiographic studies.

To determine the prevalence of chronic kidney disease and associated risk factors in subjects over 60 years of age, as well as its staging by determining the glomerular filtration rate (GFR). Cross-sectional observational study. Primary Health Care. Patients≥60 years of age who were seen in 40 Primary Health Care centres with serum creatinine measured in a central laboratory between January 1 and December 31, 2010. kidney transplant, home care. Social-demographic and anthropometric data, cardiovascular risk factors, and diseases established according to electronic clinical records. Serum creatinine was measured using standardised Jaffe kinetic method, and GFR estimated with MDRD-4-IDMS and CKD-EPI. A total of 97,665 subjects (57.3% women, median age 70.0 years [Q1: 65.0, Q3: 77.0]). GFR-MDRD prevalence<60=15.1% (16.6% in women, 13.2% in men; P<.001) and increased with age. Multivariate analysis showed a positive association between GFR-MDRD<60 and age (OR=1.74; 95% CI 1.70 to 1.77), hypertension (OR=2.18; 95% CI 2.08 to 2.30), heart failure (OR=2.03; 95% CI 1.83 to 2.25), atrial fibrillation (OR=1.57; 95% CI 1.41 to 1.76), ischaemic heart disease (OR=1.40; 95% CI 1.30 to 1.50), peripheral arterial disease (OR=1.31; 95% CI 1.09 to 1.57), dyslipidaemia (OR=1.28; 95% CI 1.23 to 1.33), diabetes (OR=1.26; 95% CI 1.17 to 1.34), and stroke (OR=1.17; 95% CI 1.09 to 1.25). The GFR-CKD-EPI model showed an increase in OR with age and male sex, that became significant as a chronic kidney disease risk factor. Chronic kidney disease has considerable prevalence in subjects≥60 years seen in Primary Health Care, more in women, and increasing with age. Hypertension, more than diabetes, was the main associated cardiovascular risk factor.

Background: Chronic Kidney Disease (CKD), Type 2 Diabetes (T2D) and Hypertension (HTN) are frequently associated with adverse outcomes. We aimed to estimate the impact of a prior diagnosis of T2D and/or HTN on clinical characteristics, cardiovascular events (CVE) and all-cause mortality (ACM) of patients with CKD. Methods: We conducted a retrospective cohort study based on primary care electronic health records of people without atherosclerotic cardiovascular disease, aged 18–90 years with incident CKD between January 1, 2007, and December 31, 2017. The association between CKD groups classified according to prior diagnosis of T2D and/or HTN and risk of ACM and CVE at follow-up was evaluated with Cox and Fine-Gray regression models, respectively. Results: 398,477 patients were included. Median age was 74 years and 55.2% were women. Individuals were classified as CKD with HTN (51.9%), CKD with T2D (3.87%), CKD with HTN/T2D (31.4%) and CKD without HTN/T2D (12.9%). In the multivariate analysis, with the CKD without HTN/T2D group as reference, the ACM Hazard Ratio (HR) was 0.74 (95%CI 0.72–0.75) for the CKD with HTN group, 0.81 (95%CI 0.79–0.83) for CKD with HTN/T2D and 1.14 (95%CI 1.10–1.19) for the CKD with T2D group. The sub distribution HRs for CVE were 1.40 (95%CI 1.34–1.47), 1.70 (95%CI 1.61–1.80) and 1.37 (95%CI 1.26–1.48), respectively. Conclusion: In patients with CKD, the risk of ACM and CVE differed in patients with previous HTN and/or T2D. These comorbidities can help identify individuals at higher risk of adverse outcomes and improve the management of patients with CKD in primary care.