Background We aimed to evaluate the impact of coronavirus disease 2019 (COVID-19)-related lockdown on adherence to lifestyle and drug regimens in stay-at-home chronic coronary syndromes patients living in urban and rural areas. Methods A cross-sectional population-based study was perfomed in patients with chronic coronary syndromes. A sample of 205 patients was randomly drawn from the RICO (Observatoire des infarctus de Côte d'Or) cohort. Eight trained interviewers collected data by phone interview during week 16 (April 13 to April 19), i.e. 4 weeks after implementation of the French lockdown (start March 17, 2020). Results Among the 195 patients interviewed (of the 205, 3 had died, 1 declined, 6 lost), mean age was 65.5 ± 11.1 years. Only six patients (3%) reported drug discontinuation, mainly driven by media influence or family members. All 166 (85%) patients taking aspirin continued their prescribed daily intake. Lifestyle rules were less respected since almost half (45%) declared >25% reduction in physical activity, 26% of smokers increased their tobacco consumption by >25%, and 24% of patients increased their body weight > 2 kg. The decrease in physical activity and the increase in smoking were significantly greater in urban patients (P < .05). Conclusions The COVID-19-related lockdown had a negative impact on lifestyle in a representative sample of stay-at-home CCS patients.

Aims Cardiovascular co‐morbidities like congestive heart failure (CHF) alter the course of coronavirus disease 2019. Factors associated with the outbreak and lockdown can exacerbate CHF. Methods and results We analysed the answers of 124 randomly selected CHF outpatients (mean age 71.0 ± 14.0 years, 60.5% male) interviewed by phone during the sixth and seventh weeks of the lockdown. Most patients were treated for New York Heart Association class II (38.7%) and reduced ejection fraction HF (70.2%). Psychological distress (Kessler 6 score ≥ 5) was common (18.5%), and 21.8% felt worse than before the lockdown. Few patients ( n = 10) adjusted their intake of HF medications, always on medical prescription. Decreased physical activity was common (41.9%) and more frequent in women ( P = 0.025) and urban dwellers ( P = 0.009). Almost half of respondents (46.0%) declared increased screen time, but only few declared more alcohol intake (4.0%). Weight gain was common (27.4%), and 44.4% of current smokers increased tobacco consumption. Adherence to recommended salt or fluid intake restrictions was reduced in 14.5%. Increase in HF symptoms was commonly reported (21.8%) and tended to be higher in women than in men ( P = 0.074). Of the 23 patients who had a phone teleconsultation during the pandemic, 16 had initially planned an in‐person consultation that they switched for teleconsultation. Conclusions During the lockdown, psychological distress and decreased well‐being were common in CHF outpatients, and there was an increase in unhealthy lifestyle behaviours. These changes may negatively impact short‐term and long‐term prognoses. Medication adherence was maintained, and limitations in access to care were partly counterbalanced by use of telehealth.

The ORBI risk score provides a readily useable and efficient tool to identify patients at high-risk of developing CS during hospitalization following STEMI, which may aid in further risk-stratification and thus potentially facilitate pre-emptive clinical decision making.

Acute infection is suspected of involvement in the onset of acute myocardial infarction (MI). We aimed to assess the incidence, pathogenesis and prognosis of post-infectious MI. All consecutive patients hospitalized for an acute MI in coronary care units were prospectively included. Post-infectious MI was defined by a concurrent diagnosis of acute infection at admission. Type 1 MI (acute plaque disruption) or Type 2 MI (imbalance in oxygen supply/demand) were adjudicated according to the universal definition of MI. From the 4573 patients admitted for acute MI, 466 (10%) had a concurrent acute infection (median age 78 (66–85) y, 60% male), of whom 313 (67%) had a respiratory tract infection. Type 2 MI was identified in 72% of post-infectious MI. Compared with other MI, post-infectious MI had a worse in-hospital outcome (11 vs. 6% mortality, p < 0.01), mostly from cardiovascular causes. After adjusting for confounders, acute infections were no more associated with mortality (odds ratio 0.72; 95% confidence interval 0.43–1.20). In the group of post-infectious MI, Type 1 MI and respiratory tract infection were associated with a worse prognosis (respective odds ratio 2.44; 95% confidence interval: 1.12–5.29, and 2.89; 1.19–6.99). In this large MI survey, post-infectious MI was common, accounting for 10% of all MI, and doubled in-hospital mortality. Respiratory tract infection and Type 1 post-infectious MI were associated with a worse prognosis.