The relationship between C-reactive protein and prognostic factors in chronic obstructive pulmonary disease

Systemic Manifestations of COPD and the Impact of Dual Bronchodilation with Tiotropium/Olodaterol on Cardiac Function and Autonomic Integrity

Background: Chronic obstructive pulmonary disease (COPD) has significant systemic manifestations, including cardiovascular morbidity. The main aim of our study was to evaluate the effect of short-term COPD treatment with tiotropium/olodaterol (TIO/OLO) 5/5 μg on cardiac function and autonomic integrity. Methods: Twenty-nine patients with newly diagnosed moderate-to-severe COPD were enrolled. We performed pulmonary function tests, cardiac magnetic resonance, cardiac 123I-metaiodobenzylguanidine (123I-MIBG) imaging and analysis of blood biomarkers on our study subjects. The correlations between the tests' results were evaluated at baseline. The changes in pulmonary and cardiac parameters from baseline through 12 weeks were assessed. Results: Significant associations between pulmonary function tests' results and high-sensitivity C-reactive protein (hs-CRP), as well as interleukin-22 (IL-22), were observed at baseline. Treatment with TIO/OLO significantly improved lung function as measured by spirometry and body plethysmography. Moreover, we found that the cardiac index increased from 2.89 (interquartile range (IQR) 1.09) to 3.21 L/min/m2 (IQR 0.78) (p = 0.013; N = 18) and the late heart-to-mediastinum ratio improved from 1.88 (IQR 0.37) to 2 (IQR 0.41) (p = 0.026; N = 16) after 12 weeks of treatment. Conclusions: Treatment with TIO/OLO improves lung function and positively impacts cardiac function and autonomic integrity, suggesting that dual bronchodilation might have a potential in decreasing the risk for cardiac events in COPD. Hs-CRP and IL-22 might be beneficial in determining the intensity of systemic inflammation in COPD. Further research with a larger cohort is needed to enhance the initial results of this study.

FeNO, systemic inflammation and other risk factors for osteoporosis in COPD

Introduction: The bone is one of the tissues that is adversely affected as a result of inflammation in COPD. The aim of this study is to examine the relationship between airway inflammation, systemic inflammation and osteoporosis in COPD. Material and methods: A cross-sectional study was performed, including 50 patients with stable COPD. FeNO as a marker of airway inflammation; hs-CRP, WBC and fibrinogen as systemic inflammation markers; arterial blood gas, BMI and FEV1 were measured. To identify osteoporosis, DEXA was performed. Results: The prevalence of osteoporosis was 26%. Osteoporosis was associated with WBC and hs-CRP (OR: 1.80, 95% CI, 1.26-2.57 and OR: 2.32, 95% CI, 1.28-4.20, respectively). It was observed that the risk increased as FEV1 and BMI decreased (OR: 0.94, 95% CI, 0.89-0.98 and OR: 0.75, 95% CI, 0.61-0.91, respectively). There was no relationship between osteoporosis and FeNO and fibrinogen (OR: 1.05, 95% CI, 0.99-1.12 and OR: 1.04, 95% CI 0.98-1.09, respectively). Arterial blood gases (PaO2 and PaCO2) were not effective on osteoporosis (OR: 1.01, 95% CI, 0.95-1.05 and OR: 1.04, 95% CI, 0.90-1.19, respectively). The cut-off values of hs-CRP and WBC for osteoporosis risk were 15.9 mg/L and 11.6 x 109/L, respectively. Conclusions: Osteoporosis was associated with low BMI, airway stenosis and high levels of hs-CRP and WBC.

Comparison of High-Sensitive CRP, RDW, PLR and NLR between Patients with Chronic Obstructive Pulmonary Disease and Chronic Heart Failure

Background:

Chronic obstructive pulmonary disease (COPD) is a chronic systemic inflammation, which has similar signs and symptoms to chronic heart failure (CHF).

Objective:

To compare high-sensitive C-reactive protein (hsCRP) level and selected blood indices in patients with COPD and CHF.

Methods:

This prospective cross-sectional study (July 2019-July 2020) was conducted on patients aged 40-70 years old with a previous diagnosis of COPD, CHF, and cor pulmonale. They were divided into four groups: 1) patients with COPD, who were hospitalized due to exacerbation of dyspnea, 2) patients with CHF without a history of COPD, 3) patients with CHF and history of COPD (COPD+CHF), and finally 4) patients who had concomitant COPD and cor pulmonale condition. Spirometry, echocardiography, and six-minute walking test were performed. The hsCRP level was assessed at the beginning and end of hospital admission. Finally, RDW, neutrophil, lymphocyte, platelet counts, neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) were measured. Data were analyzed by SPSS software (α = 0.05).

Results:

In total, 140 patients were enrolled. The highest hsCRP level was observed in patients in the COPD+CHF group, and the lowest level was found in patients with CHF. Overall, a significant difference was observed in the hsCRP level at the beginning and the end of admission (P =0.0001). HsCRP had a positive correlation with the duration of hospital stay and a negative correlation with the results of the six-minute walking test. The lymphocyte counts and PLR had significant positive correlations with the six-minute walking test (R =0.38, P =0.0001 vs. R =0.325, P =0.001, respectively), and significant negative correlations with duration of hospital stay (R =-0.317, P =0.0001 vs. R =-0.380, P =0.001, respectively). At the admission, a significant difference in hsCRP was only observed comparing the COPD and cor pulmonale groups (OR =1.097, P =0.002). There were significant differences in the six-minute walking test comparing the COPD group with either of CHF or COPD+CHF groups. Significant differences were noted in the hospital stay duration comparing the COPD group with all other groups.

Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction

The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute respiratory disease that has been classified as a pandemic by the World Health Organization (WHO). The sudden spike in the number of infections and high mortality rates have put immense pressure on the public healthcare systems. Hence, it is crucial to identify the key factors for mortality prediction to optimize patient treatment strategy. Different routine blood test results are widely available compared to other forms of data like X-rays, CT-scans, and ultrasounds for mortality prediction. This study proposes machine learning (ML) methods based on blood tests data to predict COVID-19 mortality risk. A powerful combination of five features: neutrophils, lymphocytes, lactate dehydrogenase (LDH), high-sensitivity C-reactive protein (hs-CRP), and age helps to predict mortality with 96% accuracy. Various ML models (neural networks, logistic regression, XGBoost, random forests, SVM, and decision trees) have been trained and performance compared to determine the model that achieves consistently high accuracy across the days that span the disease. The best performing method using XGBoost feature importance and neural network classification, predicts with an accuracy of 90% as early as 16 days before the outcome. Robust testing with three cases based on days to outcome confirms the strong predictive performance and practicality of the proposed model. A detailed analysis and identification of trends was performed using these key biomarkers to provide useful insights for intuitive application. This study provide solutions that would help accelerate the decision-making process in healthcare systems for focused medical treatments in an accurate, early, and reliable manner.

Prevalence and characteristics of venous thromboembolism in severe exacerbation of chronic obstructive pulmonary disease in a tertiary care hospital in India

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) carries a high risk of venous thromboembolism (VTE). Pulmonary embolism (PE) and AECOPD increase the mortality and morbidity risk associated with each other. Racial and ethnic differences in VTE risk have been documented in multiple studies. However, there is a dearth of reliable Indian data on the same. This study was planned to find the prevalence of VTE in the setting of severe AECOPD in a tertiary care hospital in India and to identify the clinical, laboratory and radiological characteristics of VTE in severe AECOPD. A total of 156 consecutive patients admitted with severe AECOPD and meeting the specified inclusion and exclusion criteria were recruited. Thorough workup of all patients was done including ABG, serum D dimer, ECG, compression ultrasound of lower limbs and 2-D echocardiography. Patients with high pre-test probability score, or intermediate pre-test probability score at presentation with serum D dimer above the age adjusted cut-off underwent computerised tomography pulmonary angiography (CTPA).  Results were analysed using SPSS version 23.  Sixteen (10.3%) patients had VTE, 15 (93.75%) of them being cases of isolated PE. Female gender, higher cumulative past exposure to corticosteroid, higher alveolar-arterial gradient, right ventricular dysfunction, and higher mean pulmonary artery pressure were associated with increased risk for VTE. The prevalence of VTE in AECOPD in this study among an Indian population is higher than among other Asians, but lower than among the Blacks, the Caucasians and the Middle-East ethnicities. Since a vast majority of VTE presents as PE without DVT in the setting of AECOPD, the absence of deep vein thrombosis of lower limbs does not rule PE in the setting.

Comparative analysis of COPD associated with tobacco smoking, biomass smoke exposure or both

Background

Exposure to noxious gases and particles contained in both tobacco smoking (TS) and biomass smoke (BS) are well recognized environmental risk factors for chronic obstructive pulmonary disease (COPD). COPD is characterized by an abnormal inflammatory response, both in the pulmonary and systemic compartments. The differential effects of TS, BS or their combined exposure have not been well characterized yet. This study sought to compare the lung function characteristics and systemic inflammatory response in COPD patients exposed to TS, BS or their combination.

Methods

Sociodemographic, clinical and lung functional parameters were compared across 49 COPD patients with a history of smoking and no BS exposure (TS COPD), 31 never-smoker COPD patients with BS exposure (BS COPD), 46 COPD patients with a combined exposure (TS + BS COPD) and 52 healthy controls (HC) who have never been exposed neither to TS or BS. Blood cell counts, C-reactive protein (CRP), fibrinogen and immunoglobulin E (IgE) levels were quantified in all four groups.

Results

TS + BS COPD patients exhibited significantly lower oxygen saturation than the rest of groups (p < 0.01). Spirometry and diffusing capacity were significantly higher in BS than in TS or TS + BS patients. CRP levels were significantly higher in TS COPD patients than in BS COPD group (p < 0.05), whereas fibrinogen was raised in COPD patients with a history of smoking (TS and TS + BS) when compared to control subjects (p < 0.01). Finally, COPD patients with BS exposure (BS and BS + TS groups) showed higher IgE levels than TS and HC (p < 0.05).

Conclusions

There are significant physiological and inflammatory differences between COPD patients with TS, BS and TS + BS exposures. The latter had worse blood oxygenation, whereas the raised levels of IgE in BS exposed patients suggests a differential Th2 systemic inflammatory pattern triggered by this pollutant.

Review of biomarkers to assess the effects of switching from cigarettes to modified risk tobacco products

Context: One approach to reducing the harm caused by cigarette smoking, at both individual and population level, is to develop, assess and commercialize modified risk alternatives that adult smokers can switch to. Studies to demonstrate the exposure and risk reduction potential of such products generally involve the measuring of biomarkers, of both exposure and effect, sampled in various biological matrices.Objective: In this review, we detail the pros and cons for using several biomarkers as indicators of effects of changing from conventional cigarettes to modified risk products.Materials and methods: English language publications between 2008 and 2017 were retrieved from PubMed using the same search criteria for each of the 25 assessed biomarkers. Nine exclusion criteria were applied to exclude non-relevant publications.Results: A total of 8876 articles were retrieved (of which 7476 were excluded according to the exclusion criteria). The literature indicates that not all assessed biomarkers return to baseline levels following smoking cessation during the study periods but that nine had potential for use in medium to long-term studies.Discussion and conclusion: In clinical studies, it is important to choose biomarkers that show the biological effect of cessation within the duration of the study.

Predictive value of ADAMTS-13 on concealed chronic renal failure in COPD patients

Background

Impaired renal function is often neglected in COPD patients. Considering that COPD patients usually have an ongoing prothrombotic state and systemic inflammation status, we investigated the association among them and explored the predictive value of a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13 (ADAMTS-13), on concealed chronic renal failure (CRF) in COPD patients.

Methods

COPD patients were recruited from the First Affiliated Hospital of Sun Yat-Sen University between January 2015 and December 2016. Control was selected from contemporaneous hospitalized patients without COPD and matched by age and gender at a ratio of 1:1. Estimated glomerular filtration rate (eGFR) was calculated by using the Chronic Kidney Disease Epidemiology Collaboration formula, and all subjects were categorized as having normal renal function (eGFR ≥60 mL min^-1 1.73 m^-2) and having concealed CRF (normal serum creatinine while eGFR <60 mL min^-1 1.73 m^-2). Independent correlates of concealed CRF were investigated by logistic regression analysis, and receiver operating characteristic (ROC) curves were used to determine the predictive value of ADAMTS-13.

Results

In total, 106 COPD and 106 non-COPD patients were finally recruited, and the incidences of concealed CRF were 19.81% and 7.55%, respectively. ADAMTS-13 (odds ratio [OR] =0.858, 95% CI =0.795-0.926), D-dimer (OR =1.095, 95% CI =1.027-1.169), and C-reactive protein (OR =1.252, 95% CI =1.058-1.480) were significantly associated with concealed CRF. Sensitivity and specificity at an ADAMTS-13 cutoff of 318.72 ng/mL were 100% and 81.2%, respectively. The area under the ROC curve was 0.959.

Conclusion

Prothrombotic state and systemic inflammation status might contribute to explaining the high incidence of concealed CRF in COPD, and plasma ADAMTS-13 levels may serve as a strong predictor.

FEV1 and FVC and systemic inflammation in a spinal cord injury cohort

Background

Systemic inflammation has been associated with reduced pulmonary function in individuals with and without chronic medical conditions. Individuals with chronic spinal cord injury (SCI) have clinical characteristics that promote systemic inflammation and also have reduced pulmonary function. We sought to assess the associations between biomarkers of systemic inflammation with pulmonary function in a chronic SCI cohort, adjusting for other potential confounding factors.

Methods

Participants (n = 311) provided a blood sample, completed a respiratory health questionnaire, and underwent spirometry. Linear regression methods were used to assess cross-sectional associations between plasma C-reactive protein (CRP) and interleukin-6 (IL-6) with forced expiratory volume in one second (FEV₁), forced vital capacity (FVC), and FEV₁/FVC.

Results

There were statistically significant inverse relationships between plasma CRP and IL-6 assessed in quartiles or continuously with FEV₁ and FVC. In fully adjusted models, each interquartile range (5.91 mg/L) increase in CRP was associated with a significant decrease in FEV₁ (−55.85 ml; 95% CI: -89.21, −22.49) and decrease in FVC (−65.50 ml; 95% CI: -106.61, −24.60). There were similar significant findings for IL-6. There were no statistically significant associations observed with FEV₁/FVC.

Conclusion

Plasma CRP and IL-6 in individuals with chronic SCI are inversely associated with FEV₁ and FVC, independent of SCI level and severity of injury, BMI, and other covariates. This finding suggests that systemic inflammation associated with chronic SCI may contribute to reduced pulmonary function.

Electronic supplementary material

The online version of this article (doi:10.1186/s12890-017-0459-6) contains supplementary material, which is available to authorized users.

Convergence in the Epidemiology and Pathogenesis of COPD and Pneumonia

Chronic obstructive pulmonary disease (COPD) is one of the main causes of human mortalities globally after heart disease and stroke. There is increasing evidence of an aetiological association between COPD and pneumonia, the leading infectious cause of death globally in children under 5 years. In this review, we discuss the known risk factors of COPD that are also shared with pneumonia including smoking, air pollution, age and immune suppression. We review how lung pathology linked to a previous history of pneumonia may heighten susceptibility to the development of COPD in later life. Furthermore, we examine how specific aspects of COPD immunology could contribute to the manifestation of pneumonia. Based on the available evidence, a convergent relationship is becoming apparent with respect to the pathogenesis of COPD and pneumonia. This has implications for the management of both diseases, and the development of new interventions.

Cross-sectional associations of pulmonary function with systemic inflammation and oxidative stress in individuals with chronic spinal cord injury

CONTEXT/OBJECTIVE

Systemic inflammation, and to a lesser extent oxidative stress, have been associated with reduced pulmonary function. Our objective was to evaluate the associations between biomarkers of inflammation (C-reactive protein (CRP), interleukin-6 (IL-6)) and novel makers of global oxidative stress (fluorescent oxidation products (FLOx)) with spirometric and lung volume measures in individuals with chronic spinal cord injury (SCI).

DESIGN

Cross-sectional study.

SETTING

Veterans Affairs Medical Center.

PARTICIPANTS

One-hundred thirty-seven men with chronic SCI participating in an epidemiologic study.

METHODS

Participants provided a blood sample, completed health questionnaires, and underwent pulmonary function testing, including helium dilution measurement of functional residual capacity (FRC). General linear models were used to model associations between increasing quartiles of inflammation or oxidative stress with each outcome measure, after adjustment for a number of potential confounders.

OUTCOME MEASURES

Percent-predicted forced vital capacity in one second (FEV1), percent-predicted forced vital capacity (FVC), FEV1/FVC, percent-predicted residual volume (RV), percent-predicted FRC, and percent-predicted total lung capacity (TLC).

RESULTS

After adjustment for a number of confounders, participants with higher levels of CRP and IL-6 had lower percent-predicted FEV1 and FVC measurements. There were no clear patterns of association with any of the oxidative stress biomarkers or other outcome measures.

CONCLUSION

Increased systemic inflammation was associated with reductions in FEV1 and FVC independent of a number of covariates. Although the mechanism is uncertain, these results suggest that reductions in pulmonary function in SCI are associated with systemic inflammation.

Metabolic syndrome in patients with chronic obstructive pulmonary disease: frequency and relationship with systemic inflammation

BACKGROUND

Metabolic syndrome (MetS) is frequent in patients with chronic obstructive pulmonary disease (COPD). Systemic inflammation plays an important role in both COPD and MetS. The aim of this study was to assess the frequency of MetS in COPD patients and to evaluate the status of systemic inflammation in COPD patients with MetS and those without MetS.

METHODS

This cross-sectional study included 98 consecutive stable COPD patients. The MetS was defined using the criteria of the International Diabetes Federation. Components of MetS and markers of systemic inflammation: C-reactive protein (CRP), fibrinogen, and leukocyte count were measured. All patients underwent spirometry. The staging of COPD was made according to the Global initiative for chronic obstructive lung disease (GOLD) criteria.

RESULTS

MetS was present in 37.8 % COPD patients. The frequencies of MetS in patients with GOLD stages I, II, III, and IV were 33.3 %, 48.8 %, 31.6 %, and 23.1 %, respectively. MetS frequencies were not significantly different between GOLD stages. The multivariate logistic regression analysis revealed leukocyte count and CRP level as significant independent predictors of the presence of Mets in COPD patients (OR =1.321, 95%CI: 1.007-1.628, p =0.009 and OR =1.184, 95%CI: 1.020-1.376, p =0.027 respectively).

CONCLUSIONS

This study shows that MetS is frequent in patients with COPD. Systemic inflammatory markers are higher in COPD patients with MetS than in patients without MetS. These findings suggest that physicians should screen COPD patients for associated MetS and elevated circulatory inflammatory markers. Management of these disorders should reduce the risk of cardiovascular morbidity and mortality in these patients. Hippokratia 2016, 20(2):110-114.

Adipokine CTRP-5 as a Potential Novel Inflammatory Biomarker in Chronic Obstructive Pulmonary Disease

Local and systemic inflammation often present in chronic obstructive pulmonary disease (COPD). Adipokines are secretory protein mediators by adipose tissue, which have been found to involve in inflammatory responses in many chronic inflammatory diseases. Therefore, we performed this preliminary clinical study to investigate the possible association between 2 adipokines, C1q/tumor necrosis factor-related protein-3 and -5 (CTRP-3 and CTRP-5), with lung function and other markers of inflammation in COPD. Serum CTRP-3 and CTRP-5 levels were measured in 73 COPD patients and 54 health controls, together with lung function and levels of adiponectin, CRP, TNF-α, and MPO in both groups. Pearson's partial correlation was used to analyze the correlations between CTRPs and other serum markers or lung function. Serum CTRP-5 was significantly elevated in COPD patients (0.41 ± 0.35 versus 0.29 ± 0.28 μg/ml, P = 0.01) and correlated inversely with FEV1/FVC ratio in all patients (r = -0.31, P = 0.001). In COPD patients, CTRP-5 was also correlated negatively with FEV1% predicted (r = -0.464, P < 0.001) and had a positive association with CRP levels (r = 0.262, P = 0.04). However, serum CTRP-3 levels were not correlated with measures of lung function or systemic inflammation. In conclusion, circulating CTRP-5 was associated with the severity of airflow obstruction and systemic inflammation in patients with COPD, which suggests that it may be used as a potential novel inflammatory biomarker in COPD. Further studies should be performed to clarify the exact role of CTRP-5 on the pathogenesis and outcomes of COPD.