High risk perception (HRP) is fundamental for adequate health behavior. However, its impact on rapid access to cardiac care after the onset of acute myocardial infarction (AMI) is not known. Conflicting evidence exists about sources that promote HRP. Data on sociodemographic and clinical characteristics of 588 AMI patients who participated in the Munich Examination of Delay in Patients Experiencing Acute Myocardial Infarction (MEDEA) study were collected at the bedside. Adjusted multivariate logistic regression models identified factors associated with HRP. Only 13.4% (n = 79) of patients had a favorable HRP level. The HRP patients did not differ from those with low risk perception (LRP) in terms of sex, age, other sociodemographic features, and somatic risk factors. Among the univariate contributors to HRP were prodromal chest pain (p = 0.0004), symptom mismatch during AMI (p < 0.0001), depression (p = 0.01), and anxiety (p = 0.005). However, family history of AMI, a previous AMI, and knowledge of AMI remained significant in the multivariate regression model. Median delay time to reach a hospital-based emergency facility after the onset of AMI was 127 min (interquartile range [IQR]: 83-43, p = 0.02) in HRP patients and 216 min (IQR: 106-721) in LRP patients. An increasing risk perception score was associated with a corresponding stepwise decline in median delay time (p > 0.004). Self-perceived AMI risk is associated in a dose-response relationship with the time needed to reach coronary care emergency facilities. Recurrent AMI, family history of AMI, and sufficient knowledge of MI contribute to risk perception, whereas somatic risk factors do not.
Keyphrases
- acute myocardial infarction
- end stage renal disease
- healthcare
- ejection fraction
- newly diagnosed
- risk factors
- heart failure
- prognostic factors
- left ventricular
- percutaneous coronary intervention
- emergency department
- risk assessment
- gene expression
- coronary artery disease
- palliative care
- depressive symptoms
- cardiac arrest
- machine learning
- physical activity
- pain management
- deep learning
- patient reported
- health insurance
- aortic stenosis
- electronic health record
- st segment elevation myocardial infarction
- st elevation myocardial infarction
- transcatheter aortic valve replacement
- data analysis
- drinking water
- deep brain stimulation
- affordable care act