Kietselaer, Bastiaan L J H

Objective To explore associations between general health-related problems and subclinical coronary artery disease (CAD), determined by CT coronary calcium score (CT-CCS), in a general population. Design A cross-sectional design. Setting This study was performed in a prospective population-based cohort, examining the health and health-related behaviour of individuals living in the Northern Netherlands. Participants The initial cohort comprised 6763 participants ≥45 years of age who underwent CT-scanning. Participants were included for the current analysis if they filled in three validated questionnaires (Symptomatic Checklist-90, Research and Development Survey-36 and Reviving the Early Diagnosis of CardioVascular Diseases questionnaire (RED-CVD)) and did not have a history of cardiovascular disease. The final analysis included 6530 participants. Primary outcome measure Backward-stepwise and forward-stepwise logistic regression analyses were performed to determine associations between general health-related problems and subclinical CAD (CCS≥100 and ≥300). Results The median age was 53 years (25th, 75th percentile: 48, 58); 57% were women. CRCS≥100 was found in 1236 (19%) participants, 437 (12%) in women and 799 (29%) men and CCS≥300 in 643 (9.9%) participants of which 180 (4.8%) were women and 463 (16.6%) men. In univariate analysis, in women the expectation of health to worsen (OR=1.13, 95% CI: 1.05 to 1.21), and in men reduced exercise intolerance (OR=1.14, 95% CI: 1.06 to 1.23) were associated with CCS≥100. The total RED-CVD score in women (OR=1.06, (95% CI: 1.05 to 1.08) and men (OR=1.07, 95% CI: 1.06 to 1.09), and in men also reduced exercise intolerance (OR=1.15, 95% CI: 1.06 to 1.25) and headache (OR=0.55, 95% CI: 0.38 to 0.79) were associated with CCS≥300. In multivariate analyses, only general health expectation in women was still significantly associated with subclinical CAD (CCS≥300) (OR=1.92, 95% CI: 1.56 to 2.37). Conclusion Only a few general health-related problems were associated with the presence of subclinical CAD in the general population, however, these problems showed no strong association. Therefore, using health-related symptoms does not seem useful to pre-select for CT-CCS. Trial registration number CCMO Register, NL17981.042.07 and NL58592.042.16.

Introduction The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients. Methods and analysis Data from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of 24 months after acute infection. Next to the clinical characteristics measured in individual cohorts, the CORFU questionnaire on long COVID-19 outcomes and determinants will be administered digitally at 3, 6, 12, 18 and 24 months after the infection. The primary outcome is the prevalence of long COVID-19 symptoms up to 2 years after acute infection. Secondary outcomes are health-related quality of life (eg, EQ-5D), physical functioning, and the prevalence of thromboembolic complications, respiratory complications, cardiovascular diseases and endothelial dysfunction. A prediction model and a patient platform prototype will be developed. Ethics and dissemination Approval was obtained from the medical research ethics committee of Maastricht University Medical Center+ and Maastricht University (METC 2021-2990) and local committees of the participating cohorts. The project is supported by ZonMW and EuroQol Research Foundation. Results will be published in open access peer-reviewed scientific journals and presented at (inter)national conferences. Trial registration number NCT05240742 .