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1.
J Psychosom Res ; 91: 68-74, 2016 12.
Article in English | MEDLINE | ID: mdl-27894465

ABSTRACT

OBJECTIVE: During an acute myocardial infarction, patients often use denial as a coping mechanism which may provide positive mood regulating effects but may also prolong prehospital delay time (PHD). However, empirical evidences are still sparse. METHODS: This cross-sectional study included 533 ST-elevated myocardial infarction (STEMI) patients from the Munich Examination of Delay in Patients Experiencing Acute Myocardial Infarction (MEDEA) study. Data on sociodemographic, clinical and psycho-behavioral characteristics were collected at bedside. The outcome was assessed using the Cardiac Denial of Impact Scale (CDIS) with the median split as cutoff point. A total of 206 (41.8%) STEMI patients were thus classified as deniers. RESULTS: Deniers were less likely to suffer from major depression (p=0.04), anxiety (p=0.01) and suboptimal well-being (p=0.01) compared to non-deniers during the last six months prior to STEMI. During STEMI, they were less likely to perceive severe pain strength (p=0.04) and racing heart (p=0.02). Male deniers were also less likely to perceive shortness of breath (p=0.03) and vomiting (p=0.01). Denial was not associated with overall delay time. However, in the time window of 3 to 24h, denial accounted for roughly 40min extra delay (356 vs. 316.5min p=0.02 n=196). CONCLUSIONS: Denial not only contributes to less suffering from acute heart related symptoms and negative affectivity but also leads to a clinically significant delay in the prevalent group.


Subject(s)
Adaptation, Psychological , Delayed Diagnosis , Denial, Psychological , ST Elevation Myocardial Infarction/diagnosis , ST Elevation Myocardial Infarction/psychology , Aged , Cross-Sectional Studies , Electrocardiography , Female , Germany , Hospitals , Humans , Illness Behavior , Male , Middle Aged , Outcome Assessment, Health Care , Personality Inventory/statistics & numerical data , Psychometrics , Retrospective Studies , Sex Factors , Type D Personality
2.
Int J Cardiol ; 201: 581-6, 2015 Dec 15.
Article in English | MEDLINE | ID: mdl-26334383

ABSTRACT

BACKGROUND: Scarce evidence yields conflicting results regarding the effect of prodromal chest pain (PCP) on pre-hospital delay during an acute myocardial infarction (AMI). We aimed to assess the impact of PCP on delay. METHODS: Data was collected on 619 ST-elevated MI patients from the multicenter Munich Examination of Delay in Patients Experiencing Acute Myocardial Infarction (MEDEA) study. Patients with any PCP (which was subdivided into undefined PCP, possible and definite angina) within a year before AMI were identified using the Rose questionnaire, administered in bedside interviews. The influence of PCP and its subdivisions (all compared to no PCP) was assessed using logistic regression (with cut-offs of 2 h, 6 h, and a 4-category ordinal outcome). RESULTS: Any type of PCP was reported by men (50.6%) more than women (34.6%) (OR=1.9; 95% CI: 1.3 to 2.8; p=.001). The median delay of patients with PCP was not significantly different to delay in patients with no PCP (p=.327). Prolonged delay times were observed in women with PCPs of lesser degree of cardiac confirmation, while the opposite was observed in men. In women, possible angina was more strongly associated with delay <2 h (OR=6.8; 95% CI=2 to 23.8) than any PCP (OR=2.6; 95% CI=1.2 to 5.7). CONCLUSIONS: For men, PCPs of increasing cardiac confirmation are associated with prolonged delay. For women, PCPs of lesser cardiac confirmation are more likely to lead to prolonged delay. Future studies should investigate mediating factors.


Subject(s)
Chest Pain/epidemiology , Emergency Medical Services , Myocardial Infarction/complications , Risk Assessment/methods , Chest Pain/diagnosis , Chest Pain/etiology , Cross-Sectional Studies , Female , Follow-Up Studies , Germany/epidemiology , Humans , Incidence , Male , Middle Aged , Myocardial Infarction/diagnosis , Myocardial Infarction/surgery , Pain Measurement , Percutaneous Coronary Intervention , Prognosis , Sex Distribution , Sex Factors , Time Factors
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