Chronic coronary syndrome (CCS) is a progressive disease, which often first manifests as acute coronary syndrome (ACS). Imaging modalities are clinically useful in making decisions about the management of patients with CCS. Accumulating evidence has demonstrated that myocardial ischemia is a surrogate marker for CCS management; however, its ability to predict cardiovascular death or nonfatal myocardial infarction is limited. Herein, we present a review that highlights the latest knowledge available on coronary syndromes and discuss the role and limitations of imaging modalities in the diagnosis and management of patients with coronary artery disease. This review covers the essential aspects of the role of imaging in assessing myocardial ischemia and coronary plaque burden and composition. Furthermore, recent clinical trials on lipid-lowering and anti-inflammatory therapies have been discussed. Additionally, it provides a comprehensive overview of intracoronary and noninvasive cardiovascular imaging modalities and an understanding of ACS and CCS, with a focus on histopathology and pathophysiology.
Objectives: It is well known that blood pressure (BP) exhibits BP variation in patients with hemodialysis (HD). We have previously reported that high visit-to-visit blood pressure variability is independently correlated with cardiovascular mortality in maintenance HD patients. However, the characteristics of long-term BP variability remains to be elucidated in these patients. The present study, therefore aimed to investigate the characteristics of month-by-month blood pressure variability, as an indicator of longterm blood pressure variability, and the relationship between month-by-month blood pressure variability and cardiovascular mortality in these patients. Design and method:A total of 324 maintenance HD patients, who could be followed for 60 months, were recruited. We used variation independent of the mean (VIM), which was estimated using systolic BP (SBP) in pre-dialysis and post-dialysis at the beginning of the month in 12 consecutive months (pre-VIM-SBP and post-VIM-SBP), as an index of month-by-month BP variability. We also estimated the average of 12 values of differences between the highest and lowest SBP values during a dialysis session (average D SBP) and the difference between SBP in January and February and SBP in July and August (seasonal variability of SBP).We investigated (1) the reproducibility of these values, (2) the relationship between these values and background factors, and (3) the association between these values and mortality.
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