Association between blood pressure, inflammation and spirometry parameters in chronic obstructive pulmonary disease

Arslan, Sülhattin; Yıldız, Gürsel; Özdemır, Levent; Kaysoydu, Erdal; Özdemi̇r, Bülent

doi:10.3904/kjim.2017.284

Cited by 11 publications

(9 citation statements)

References 40 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The accumulation of inflammatory cytokines may induce respiratory histopathologic changes. Increasing evidence supports that the presence of systemic inflammatory cytokines increased the risks of COPD and the comorbidities occurrence (7). Circulatory proinflammatory cytokine CRP is an important marker of systemic chronic inflammation.…”

Section: Discussionmentioning

confidence: 99%

“…Accumulating data have demonstrated that activated inflammatory cells and inflammatory cytokines lead to systemic inflammation, which is associated with extrarespiratory manifestations of COPD (5). C-reactive protein (CRP) and systemic inflammatory markers were increased in COPD patients (6,7). However, the potential molecular mechanism of inflammation-induced COPD is unclear.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Low Vitamin D Status Is Associated with Inflammation in Patients with Chronic Obstructive Pulmonary Disease

Fei

Tan

et al. 2021

The Journal of Immunology

View full text Add to dashboard Cite

Vitamin D deficiency is associated with increased risks of chronic obstructive pulmonary disease (COPD). Nevertheless, the mechanisms remain unknown. This study analyzed the correlations between vitamin D levels and inflammation in COPD patients. One hundred and one patients with COPD and 202 control subjects were enrolled. Serum 25(OH)D level and inflammatory cytokines were detected. Serum 25(OH)D was decreased and inflammatory cytokines were increased in COPD patients. According to forced expiratory volume in 1 s, COPD patients were divided into three grades. Furthermore, serum 25(OH)D was gradually decreased in COPD patients ranging from grade 1–2 to 4. Serum 25(OH)D was inversely associated with inflammatory cytokines in COPD patients. Further analysis found that NF-κB and AP-1 signaling were activated in COPD patients. Besides, inflammatory signaling was gradually increased in parallel with the severity of COPD. By contrast, pulmonary nuclear vitamin D receptor was decreased in COPD patients. In vitro experiments showed that 1,25(OH)2D3 inhibited LPS-activated inflammatory signaling in A549 cells (human lung adenocarcinoma cell). Mechanically, 1,25(OH)2D3 reinforced physical interactions between vitamin D receptor with NF-κB p65 and c-Jun. Our results indicate that vitamin D is inversely correlated with inflammatory signaling in COPD patients. Inflammation may be a vital mediator of COPD progress in patients with low vitamin D levels.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Low Vitamin D Status Is Associated with Inflammation in Patients with Chronic Obstructive Pulmonary Disease

Fei

Tan

et al. 2021

The Journal of Immunology

View full text Add to dashboard Cite

show abstract

“…The systolic blood pressure (SBP) and diastolic blood pressure (DBP) and pulse rate significantly are different in COPD patients as compared to in the manage group. The only pathophysiology can understand its complications [ 69 ]. The red blood cell distribution width (RDW) values were significantly higher in COPD patients as compared to the control group.…”

Section: Discussionmentioning

confidence: 99%

Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques

et al. 2021

View full text Add to dashboard Cite

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option is available only for stable-phase patients. Recently, the assessment and prediction techniques that are used have been determined to be inadequate for acute exacerbation of chronic obstructive pulmonary disease patients. To magnify the monitoring and treatment of acute exacerbation COPD patients, we need to rely on the AI system, because traditional methods take a long time for the prognosis of the disease. Machine-learning techniques have shown the capacity to be effectively used in crucial healthcare applications. In this paper, we propose a voting ensemble classifier with 24 features to identify the severity of chronic obstructive pulmonary disease patients. In our study, we applied five machine-learning classifiers, namely random forests (RF), support vector machine (SVM), gradient boosting machine (GBM), XGboost (XGB), and K-nearest neighbor (KNN). These classifiers were trained with a set of 24 features. After that, we combined their results with a soft voting ensemble (SVE) method. Consequently, we found performance measures with an accuracy of 91.0849%, a precision of 90.7725%, a recall of 91.3607%, an F-measure of 91.0656%, and an AUC score of 96.8656%, respectively. Our result shows that the SVE classifier with the proposed twenty-four features outperformed regular machine-learning-based methods for chronic obstructive pulmonary disease (COPD) patients. The SVE classifier helps respiratory physicians to estimate the severity of COPD patients in the early stage, consequently guiding the cure strategy and helps the prognosis of COPD patients.

show abstract

“…Проте, можливий розвиток ХОЗЛ і на фоні раніше існуючої гіпертонічної хвороби або симптоматичної артеріальної гіпертензії. Кожна з цих нозологій значно змінює перебіг та наслідки цих захворювань [4].…”

Section: дана стаття є фрагментом ндр кафедри клінічної фармакологіїunclassified

Parameters of Spectral and Temporal Analysis of Heart Rate Variability in the Conditions of Disregulation of Apoptotic Activity in Bronchopulmonary Pathology and Comorbidity With Arterial Hypertension

Tyaglaya

2019

Act. Probl. of the Modern Med.

View full text Add to dashboard Cite

According to numerous reports, the prevalence rate of systemic arterial hypertension in patients with chronic pulmonary diseases varies from 0.4 to 27.7%. The number of authors have shown a decrease in heart rate variability against the background of hypertension, mainly due to the SDNN (the standard deviation of the normal-to-normal RR intervals) and RMSSD (the root mean square of successive RR-interval differences), indicating a decrease in parasympathetic effects on the heart rhythm and a relative increase in sympathetic tone. Objective: to study changes in heart rate variability parameters depending on the level of apoptotic processes in patients with arterial hypertension against the background of chronic obstructive pulmonary disease. Materials and methods. We examined 25 men with a diagnosis of arterial hypertension stage II and chronic obstructive pulmonary disease stage II without clinically significant comorbidities, whose average age was 51.72±1.22; more than 80% of them were active smokers, pack-years index was 17.06±2.41, the harmful professional factor were indicated by 1/4 people. The verification of arterial hypertension was carried out in accordance with the Order of the Ministry of Health of Ukraine dated May 24, 2012 № 384. All patients were diagnosed with stage II of hypertension. Arterial hypertension degree was diagnosed in 12% patients – first, in 28% patients – second and in 60% patients, respectively, third. Participants expressed their willingness to be included in medical research. Results. Index SDNN statistically significantly (p<0.05) in parallel with the elevation of the values of the marker of apoposis of caspase-9 decreased by 13.68%, comparing between groups of patients less and more than IV quartile according to the values of caspase-9. The LF (Low Frequency power: frequency activity in the 0.04 - 0.15Hz range) value in patients with a cohort of less and more than IV quartile according to the values of caspase-9 showed a statistically significant decrease by 32.67% (p <0.05). HF (High Frequency power: frequency activity in the 0.15 - 0.40Hz range) with an increase in the activity of apoptosis processes according to the values of caspase-9 decreased most significantly significant, by 48.92% (p <0.05). To assess the direction, the tightness and the nature of the relationship between the indices between the studied variables, a regression analysis was conducted to construct a functional dependence. As independent argument (X) considered the level of caspase-9 activity, and as a dependent variable (Y) considered the indicator LF / HF (LF/HF Ratio: A ratio of Low Frequency to High Frequency). The obtained data indicated that the correlation between numerical variables in patients with caspase-9 level less than 4 quartiles had an unreliable character, while in patients with high expression of this cysteine protease the correlation obtained with a high degree of accuracy and adequacy was approximated by the model of exponential form, and namely: Y = 4,0578 * exp (0,0901 * X) at R = 0,547, R2 = 0,30, normalized R2 = 0,29, p = 0,0083). Conclusion. Elevation of the state of the sympathetic part of the autonomic nervous system and a decrease in the activity of the parasympathetic part of the autonomic support, which can potentially be associated with an increased risk of serious cardiovascular cases in patients with this comorbidity, were found in patients with chronic obstructive pulmonary disease against the background of arterial hypertension.

show abstract

Association between blood pressure, inflammation and spirometry parameters in chronic obstructive pulmonary disease

Cited by 11 publications

References 40 publications

Low Vitamin D Status Is Associated with Inflammation in Patients with Chronic Obstructive Pulmonary Disease

Low Vitamin D Status Is Associated with Inflammation in Patients with Chronic Obstructive Pulmonary Disease

Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques

Parameters of Spectral and Temporal Analysis of Heart Rate Variability in the Conditions of Disregulation of Apoptotic Activity in Bronchopulmonary Pathology and Comorbidity With Arterial Hypertension

Contact Info

Product

Resources

About