BACKGROUND: Patients with COPD face an increased risk of cardiovascular disease and increased cardiac mortality. Carotid femoral pulse wave velocity (cf-PWV) is a validated measure of arterial stiffness, a well recognized predictor of adverse cardiovascular outcomes, and offers higher predictive value than classical cardiovascular risk factors. We investigated the association between COPD and arterial stiffness using cf-PWV as a noninvasive technique. METHODS: This clinical study was prospective, observational, and cross-sectional. Sixty-two subjects with stable COPD and 22 healthy controls underwent physical examination, chest x-rays, pulmonary function tests, arterial blood gas analysis, and 6-min walk test, and cf-PWV was measured via a validated tonometry system. RESULTS: The COPD subjects had greater arterial stiffness than the control subjects, and that difference was associated with lower FEV 1 , P aO 2 , and oxygen saturation during the 6-min walk test. We observed higher cf-PWV in the COPD subjects with severe COPD than in the subjects with mild to moderate COPD. Only FEV 1 was an independent predictor of cf-PWV. CONCLUSIONS: Our results suggest that arterial stiffness is increased in subjects with more severe and advanced COPD than in those with mild to moderate COPD. Air flow limitation and hypoxemia may induce increased arterial stiffness in COPD patients.
BackgroundChronic obstructive pulmonary disease (COPD) is a chronic inflammatory condition, and progresses with acute exacerbations. (AE). During AE, levels of acute phase reactants such as C-reactive protein (CRP) and inflammatory cells in the circulation increase. Soluble urokinase-type plasminogen activator receptor (suPAR) levels increase in acute viral and bacterial infections and in diseases involving chronic inflammation. The purpose of this study was to investigate the effectiveness of suPAR in predicting diagnosis of AE of COPD (AE-COPD) and response to treatment.MethodsThe study population consisted of 43 patients diagnosed with AE-COPD and 30 healthy controls. suPAR, CRP, and fibrinogen levels were measured on the first day of hospitalization and on the seventh day of treatment.ResultsWe found that fibrinogen (P<0.001), CRP (P<0.001), and suPAR (P<0.001) were significantly higher in patients with AE-COPD than in healthy controls. Fibrinogen (P<0.001), CRP (P=0.001), and suPAR (P<0.001) were significantly decreased by the seventh day of treatment. However, the area under receiver operator characteristic curve showed that suPAR is superior to CRP and fibrinogen in distinguishing AE-COPD. There was a correlation between fibrinogen, CRP, and suPAR. However, only fibrinogen was a powerful predictor of suPAR in multiple linear regression. In multiple logistic regression, only suPAR and fibrinogen were strong predictors of AE-COPD (P=0.002 and P=0.014, respectively). Serum suPAR was negatively correlated with forced expiratory volume in 1 second (r=−478, P=0.001).ConclusionsuPAR is a marker of acute inflammation. It is well correlated with such inflammation markers as CRP and fibrinogen. suPAR can be used as a predictor of AE-COPD and in monitoring response to treatment.
It is difficult to distinguish coronavirus disease‐2019 (COVID‐19) from other viral respiratory tract infections owing to the similarities in clinical and radiological findings. This study aims to determine the clinical importance of platelet count and platelet indices in the differentiation of COVID‐19 from influenza and the value of these parameters in the differential diagnosis of COVID‐19. The medical records of the patients and the electronic patient monitoring system were retrospectively analyzed. Demographic characteristics, admission symptoms, laboratory findings, radiological involvement, comorbidities, and mortality of the patients were recorded. Forty‐three patients diagnosed with influenza and 54 diagnosed with COVID‐19 were included in the study. The average age of the COVID‐19 patients was lower than that of the influenza patients (influenza: 60.5 years, COVID‐19: 52.4 years; pp = 0.024),.024), and the male gender was predominant in the COVID‐19 group (influenza: 42%, COVID‐19: 56%). According to laboratory findings, the mean platelet volume (MPV) and MPV/platelet ratio were statistically significantly lower, whereas the eosinophil count and platelet distribution width levels were significantly higher (p < 0.05) in the COVID‐19 group. It was found that the most common symptom in both groups was dyspnea and that the symptom was more prevalent among influenza patients. In the diagnosis of COVID‐19, the platelet count and platelet indices are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID‐19 from influenza during seasonal outbreaks of the latter.
Background. The course of chronic obstructive pulmonary disease (COPD) is accompanied by acute exacerbations. The purpose of this study is to determine the association of serum magnesium level with acute exacerbations in COPD (COPD-AE). Materials and Methods. Eighty-nine patients hospitalized with COPD-AE were included. Hemogram, biochemical tests, and arterial blood gases were analyzed. Pulmonary function tests were performed in the stable period after discharge. Patients were followed up at 3 monthly periods for one year. Results. Mean age of the patients was 70.4 ± 7.8 (range 47–90) years. Mean number of COPD-AE during follow-up was 4.0 ± 3.6 (range 0–15). On Spearman correlation analysis there were significant negative correlations between number of COPD-AE and predicted FEV1% (P = 0.001), total protein (P = 0.024), globulin (P = 0.001), creatinine (P = 0.001), and uric acid levels (P = 0.036). There were also significant positive correlations between number of COPD-AE and serum magnesium level (P < 0.001) and platelet count (P = 0.043). According to linear regression analysis predicted FEV1% (P = 0.011), serum magnesium (P < 0.001), and globulin (P = 0.006) levels were independent predictors of number of COPD-AE. Conclusions. In this small prospective observational study we found that serum magnesium level during exacerbation period was the most significant predictor of frequency of COPD-AE.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.