Introduction
The inflammation pattern of chronic obstructive pulmonary disease (COPD) includes neutrophils, macrophages and lymphocytes (mainly CD8). These cells release inflammatory mediators which attract cells from the blood flow that amplify the inflammatory process and induce structural changes. That process is even more amplified by oxidative stress and excess of proteases in the lung1.
Most patients with COPD have chronic concomitant diseases related to the same risk factors: to bacco, aging and inactivity, which cause a greater impact on prognosis and quality of life. Inflammatory mediators on blood flow may trigger or worsen other diseases present in these patients, such as: heart failure, ischemic heart disease, arterial hypertension (AHT), osteoporosis, normocytic anemia, diabetes and metabolic syndrome2.
However, there isn’t yet a clear definition of systemic inflammation in COPD. Its recognition has been based on studies showing an increase in the plasma concentration of various inflammatory markers: TNFα (tumor necrosis factor α), IL-6 (interleukin 6), IL-8 (interleukin 8), C-reactive protein (CRP), fibrinogen and leukocytes in patients with stable COPD, compared to the same parameters in a normal population3.
The release of these inflammatory proteins hurts the endothelium, inducing a severe failure of blood microflow4. The vascular endothelium, acting as a semi-permeable membrane, increases its perme ability whenever there is imbalance. Consequently, there is endothelial dysfunction that facilitates an abnormal filtration of proteins5,6.
In recent years, it has also been suggested that microalbuminuria could be a predictor of such endo thelial dysfunction. The glomerulus, as an extension of the vascular endothelium, is also hurt during the systemic inflammatory response, with severe consequences in local hemodynamic factors and the diameter of the pores, thus resulting in protein filtration7.
Basing on prior history, microalbuminuria and high-sensitivity CRP could be important indicators to predict systemic damage associated with COPD8.
Primary objective
To determine the microalbuminuria as potential biomarker of systemic inflammation in patients with stable COPD compared to non-COPD smokers.
Secondary objective
To consider the high-sensitivity C-reactive protein (CRP) as another possible indicator associated with this disease.
Materials and methods
Analytic, observational, cross-sectional study. We used as a sample a group of patients who spontane ously went to the outpatient offices of the Pulmonology Department of the Hospital Tránsito Cáceres de Allende and signed the informed consent (version 1.3 - 2017 approved by the Institutional Ethics Committee on Adult Health Research - Ministry of Health of the Province of Córdoba; attached as an nex), during the period between October 2017 and March 2019.
Inclusion criteria:
1. Patients diagnosed with stable COPD (defined according to GOLD [Global Initiative for Chronic Obstructive Lung Disease] by a post-bronchodilator FEV1/FVC [forced expiratory volume in first second/forced vital capacity] quotient < 0.70, confirming the presence of persistent airflow limitation in patients with the appropriate symptoms and exposed to noxious stimuli, mainly tobacco smoke)9: stages 1 [mild], 2 [moderate], 3 [severe], and 4 [very severe] according to the GOLD classification of COPD severity10, previously diagnosed through spirometry.
2. Age > 40 years.
3. Males and females.
Exclusion criteria:
1. Arterial hypertension (AHT).
2. Diabetes mellitus 1 and 2 (DM).
3. Exacerbated COPD, defined as acute worsening of respiratory symptoms that requires additional treatment; increased dyspnea, cough and sputum volume and purulence, in the last year11.
4. Acute chronic kidney disease.
5. Urinary tract infection (UTI).
6. Gross hematuria.
7. Pregnant women.
8. Patients who had exercised and had fever at the time of the consultation.
9. Pathological urine sediment.
Also, a control group was created of male and female smokers, older than 40 years, without COPD (airflow obstruction previously discarded by spirometry), without AHT or DM type 1 or 2 or acute respiratory infection, plus the remaining exclusion criteria previously established.
The following information was confirmed from each patient: age, smoking load (packs/year); patho logical personal history (according to medical records), and they all underwent a thorough pulmonary physical examination including oxygen arterial saturation and body mass index (BMI). Blood tests (see laboratory variables) and urine samples were requested, taking into account the first morning urine of three determinations with a maximum interval of one week between each sample. Patients made 3 visits to the hospital: the first visit when they were enrolled, underwent the physical examination and blood extraction and delivered the first urine sample; then the second and third visits when they delivered the second and third urine samples, respectively. Data obtained from each patient were registered in a form.
The following variables were analyzed:
o Demographic variables: age (years), gender, height (meters), weight (kg).
o Clinical variables: systolic arterial pressure (SAP) and diastolic arterial pressure (DAP) expressed in mmHg, calculated with the sphygmomanometer technique recommended by the VIII Joint Com mittee for AHT12, BMI expressed in kg/m2, oxygen saturation by means of the portable Choicemmed MD300C pulse oximeter, and pre- and post- bronchodilator spirometry, performed with a Medgraphic spirometer according to the recommendations of the ATS (American Thoracic Society)13, using mainly the FEV1 (% of the value previously mentioned) as a spirometric variable.
o Laboratory variables: complete cytological evaluation, high-sensitivity CRP, glycemia, urea, creati nine, MDRD (Modification of Diet in Renal Disease) (glomerular filtration), complete urine test and MAO (monoamine oxidase).
For determining the biochemical variables, we collected 10 ml of venous blood from the ulnar or radial veins.
Serum samples were centrifuged at 200 rpm for 10 minutes in a Giumelli centrifuge and processed in the COBA C 311 analyzer for determining the CRP (mg/L), particle-enhanced immunoturbidimetric test.
For the complete urine tests, we used SIEMENS Multistix reagent strips, Rolco 2080 centrifuge (1500 rpm, 5 minutes) and Labomed optical microscope (40x and 10x objectives). The urine samples were centrifuged at 200 rpm for 3 minutes and then processed in the COBA C 311 analyzer for the creatininuria and albuminuria dosage, the latter by immunoturbidimetric assay.
A patient was considered to have significant albuminuria when at least two to three determinations had urine creatinine values between 30 and 300 mg/g (< than 30 mg/g was considered normal). With regard to the high-sensitivity CRP, it was considered positive with a value ≥ 5 mg/L14-17.
Statistical analysis
Quantitative results were expressed as mean ± standard error comparing all possible combinations of pairs of mean values by multivariate ANAVA.
Qualitative results were expressed as numbers (percentage) and analyzed with the Chi-Square Test.
A significance level of p< 0.05 was established for all the cases. All the tests were performed with the InfoStat program, version 2018e.
Results
Results were obtained from the sample consisting of 47 individuals, one group of stable COPD (n= 27) and non-COPD smokers from the control group (n= 20).
COPD-associated conclusive and inconclusive variables were taken into account and used for com parative analysis with the corresponding control group. Taking into account the inconclusive variables, as shown in Table 1, both groups were homogeneous regarding gender, anthropometric characteristics, white blood cells count (including absolute and relative values of eosinophils and neutrophils), glycemia and oxygen saturation (%). This information is particularly interesting: the analysis of the group of COPD patients yielded a mean of 97.07 ± 0.18 in comparison with the control group, with a value of 97.45 ± 0.15, not showing significant differences between the groups.
As regards the systolic and diastolic arterial pressure, we found statistically significant differences (Table 1).
On the other hand, considering the COPD-related conclusive variables, Table 2 shows age distribu tion, smoking load (expressed in packs/year) and FEV1, with heterogeneity between the groups.
The degree of airflow obstruction in patients with COPD is expressed in Figure 1. Most patients showed mild and moderate obstruction, compared to a low percentage of severe and very severe ob struction.
As regards the variables that are the purpose of this study, we took into account the mean values for albuminuria and high-sensitivity CRP of the COPD group (n= 27), in comparison with the control group (n = 20) (Table 2). As for the albuminuria, since there were 3 determinations corresponding to 3 different urine samples, we calculated a mean value for those determinations that was analyzed together with the high-sensitivity CRP.
Thus, a mean albuminuria of 13.91 ± 5.04 was obtained in the COPD group, compared to 2.50 ± 0.36 in the control group (Figure 2). Also, the mean values for high-sensitivity CRP were compared, with a value of 5.06 ± 2.24 in patients with COPD and 2.46 ± 0.51 in patients from the control group (Figure 3). Both variables showed non-statistically significant differences between the study groups (p=0.058 for mean albuminuria and p=0.330 for high-sensitivity CRP).
Discussion
The fact that COPD has systemic effects in the form of structural and biochemical alterations in other organs apart from the lungs is an emerging phenomenon. It has been reported that the vascular endothe lium is an important site where the systemic effects of inflammation occur; thus, the microalbuminuria is an indirect manifestation of the systemic inflammation effect on the renal endothelial permeability18.
Various studies have suggested the microalbuminuria as a biomarker of COPD-associated systemic inflammation. Many of those studies considered not only the patients with stable obstructive disease, and didn’t discard other diseases that cause microalbuminuria, such as AHT and diabetes mellitus19-20-21.
It has been acknowledged that COPD is frequently associated with a certain degree of systemic inflammation. So, in patients undergoing stable stages of the disease, an increase in several systemic inflammation markers in the peripheral blood has been described: TNFα, IL-6, IL-8, C-reactive protein (CRP), fibrinogen, leukocytes and, in recent years, microalbuminuria22.
In our area, it is one of the first studies to determine a relationship of inflammatory markers, in this case microalbuminuria and high-sensitivity CRP, between patients with stable COPD and non-COPD smokers. A previous work from Casanova et al showed a similar fact, suggesting that microalbuminuria could help identify a subgroup of COPD patients with increased cardiovascular risk and a potential adverse prognosis. In that study, COPD patients showed significantly higher levels of microalbuminuria compared to smokers without obstruction, as opposed to what could be observed in this study, probably due to a small sample size and the cross-sectional nature of the study.
As for the CRP, it showed a tendency to increase in the COPD groups compared to control groups. Since the CRP was not significant, our study couldn’t show its positive association, just like it happened with microalbuminuria. It is important to underline that Casanova et al didn’t take this biomarker into account, considering that microalbuminuria is related to cardiovascular events and death to a greater extent than the CRP. These findings weren’t proven by our research. Perhaps they showed a larger albuminuria increase in their group of stable COPD patients by not discarding subjects with elevated numbers of AHT; in fact, they showed that patients with albuminuria had higher levels of systolic arte rial pressure. They could determine that PO2 and systolic arterial pressure were significant predictors of microalbuminuria levels. The microalbuminuria levels were inversely proportional to the PO2, thus establishing a high prevalence associated with hypoxemia, another finding not proven by our work.
The main results of our study consist in showing a CRP tendency to increase (which was found to be moderately above the cut-off point) and higher mean albuminuria (despite the fact that the values were within normal limits, without a microalbuminuria range) in COPD patients compared to the control groups, which could show a tendency to a higher degree of inflammation in patients with obstructive disease. We think the data weren’t statistically significant due to the reduced sample size.
Even though the potential of the COPD biomarkers is promising, at present there isn’t any truly dif fering marker that allows us to accurately predict the development and progression of the disease, the onset of exacerbations, the response to a particular treatment or the risk of mortality23. More studies are necessary in order to determine the correlation of certain biomarkers with systemic inflammation in COPD patients.
To conclude, the determination of albuminuria didn’t show significant differences between the groups. Even though a higher degree was evidenced in COPD patients compared to the control group, it wasn’t within the microalbuminuria range, so it can’t be considered as a biomarker of systemic inflammation in patients with stable COPD.
As for the high-sensitivity CRP, a tendency to increase was evidenced in COPD patients compared to the control group, but no significant difference was proven between the groups so as to consider it as another useful biomarker to predict associated systemic inflammation.