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Atherosclerosis is a diffuse process that involves vessel structures. In recent years, the relation of noninvasive parameters such as intima-media thickening (IMT), arterial distensibility (AD), and stiffness index (SI) to cardiovascular diseases has been researched. However, we have not found any study that has included all these parameters. The aim of this study is to examine the relation between the presence of coronary artery disease (CAD) and its risk factors to AD, SI, and IMT, which are the noninvasive predictors of atherosclerotic process in the carotid artery. Included in the study were 180 patients who were diagnosed as having CAD by coronary angiography (those with at least > or = 30% stenosis in the coronary arteries) and, as a control group, 53 persons who had normal appearing coronary angiographies. IMT, AD, and SI values of all the patients in the study were measured by echo-Doppler imaging (AD formula = 2 x (AoS - AoD)/PP x AoD, SI formula = (SBP/DBP)/([AoS - AoD]/AoD). Significantly increased IMT (0.82 +/- 0.1, 0.57 +/- 0.1, p<0.05), decreased AD (0.25 +/- 0.9, 0.37 +/- 0.1, p<0.05), and increased SI (13 +/- 4, 8 +/- 3, p<0.05) values were detected in the CAD group compared to the control group. A significant correlation was found between IMT and presence of diabetes mellitus (DM), systolic blood pressure, total cholesterol, and presence of plaque in carotids, and age. In the coronary artery disease group there was a significant correlation between AD and age, systolic blood pressure, and HDL cholesterol levels, while there was no significant correlation with plaque development. A significant correlation was also found between stiffness index and systolic blood pressure and age; however, there was no relation between number of involved vessels and IMT, AD, and SI. We found sensitivity, specificity, and positive predictive and negative predictive values for CAD diagnosis to be 70%, 75%, 77%, and 66%, respectively. In CAD cases, according to data in this study, IMT and SI increased while AD decreased, and this was detected by carotid artery Doppler ultrasonography. Therefore, it was concluded that these cheaper, noninvasive, and easily available parameters could be used in early diagnosis of CAD.

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Background Pain has been frequently described as a clinical feature of COVID‐19, and the main pain syndromes that have been associated with the acute phase of this disease so far are headache, myalgia, arthralgia, and neuropathic pain. Understanding the characteristics of pain symptoms is crucial for a better clinical approach. Methods Patients who were diagnosed as having COVID‐19 using reverse transcription‐polymerase chain reaction were included in the study. Patients were asked to complete a 51‐item questionnaire via a phone interview, which included questions on demographics, acute COVID‐19 symptoms, the presence of pain symptoms, and their characteristics in the acute phase of COVID‐19. Results A total of 222 out of 266 patients with COVID‐19 participated in the study, yielding a response rate of 83.5%. A total of 159 patients reported at least one kind of pain syndrome with a prevalence of 71.6%. Myalgia was reported in 110 (49.6%) patients, headache in 109 (49.1%), neuropathic pain symptoms in 55 (24.8%), and polyarthralgia in 30 (13.5%) patients. A total of 66 patients reported only one type of pain, 46 reported two types, 42 reported three types, and five patients reported all four types of pain. Logistic regression analysis showed that there were significant associations between these pain syndromes and a strong association was found between neuropathic pain and headache. Conclusion Pain is a frequently observed symptom of mild‐to‐moderate COVID‐19. There are significant relationships between pain syndromes in COVID‐19, which may be due to a sequence of common etiologic factors. Significance This study described the main pain syndromes associated acute phase of mild‐to‐moderate COVID‐19 and its associated features. Headaches and pain of neuropathic characteristics were prevalent in this sample.

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