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Abstract:The authors presented a letter on the article by Hao et al. published and who refused from PCI were compared. Factors associated with refuse from primary PCI were separated. Besides huge practical importance the study by Hao et al. had methodological dignities. They are dividing prehospital phase (time from symptom onset to admission) into 4 time frames (≤2, 2-6, 6-24, and ≥24 h) and separate analysis of PCI performance in five age subgroups of AMI patients (≤59, 60-69, 70-79, 80-89, and ≥90 years). These features of the study allow comprehensive analysis of medical care process among AMI patients in the MIYAGI-AMI Registry Study.But to our opinion the presented study had several limitations. Firstly, Hao et al. used a restricted set of clinical parameters of AMI patients to reveal predictors of refuse from primary PCI with the help of multivariate logistic regression analysis (age, sex, history of hypertension, diabetes mellitus, dyslipidemia, current smoking, prior myocardial infarction, infarction site, onset at night, ambulance use for admission, elapsed time from symptom onset to admission, and coexisting acute heart failure on admission). Other authors used expanded set of clinical parameters for similar goal that allow detailed analysis of the clinical status of patients with performed PCI and patients refused from intervention [2,3]. Furthermore, there is no clear description of the criteria for inclusion and exclusion of patients from the study by Hao et al. [1]. In this context, we would deeply appreciate if the authors could share some useful data with us. 1) Please, clarify a basis of selection of clinical characteristics for multivariate analysis? 2) What inclusion and exclusion criteria were used in the presented study?Secondly, the absence of separation of patients with STsegment elevation myocardial infarction (STEMI) and non-STEMI patients complicates the interpretation of the study results. It is major limitation of the MIYAGI-AMI Registry Study. It is known that ST-segment elevation on electrocardiogram (ECG) is a main factor associated with PCI performance among patients with acute coronary syndrome [3]. However, in both studies (ref.1 and ref.3) there are some similar results (in particular, the impact of gender and age to PCI perfomance). The other results of these studies complement each other and, of course, are of great scientific and practical interest. Conflict of interest: none declared. Editorial Comments
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