Summary
Materials and Methods: The data of 243 patients presented with acute COPD exacerbation and 122 COPD patients with stable status as control group were analyzed retrospectively. The patients, whose arterial blood gas (ABG) studied, with Acute COPD exacerbation were identified as Group I. The patients whose venous blood gas (VBG) studied were identified as Group II and stable COPD patients whose ABG studied were identified as Control Group. The prognostic biomarker values were compared in the patients of Group I, Group II and Control Group.
Results: The mean age of the patients was 68.61 ± 11.02 and the mean age of the control group was 68.25 ± 11.07. It was found that platelet lymphocyte ratio (PLR) values were very high in both Group I and Group II compared to the control Group (P < 0.001). There was a significant difference related with mean erythrocyte distribution width (RDW) in Group I, mean erythrocyte volume (MCV)’ in group II, MPV and platelet count (PLT) in both Group I and Group II (P < 0.001).
Conclusions: Especially in acute COPD exacerbation, PLR may be a useful inflammatory biomarker to reflect the severity and activity of inflammation in COPD patients.
Introduction
The aim of this study is to compare the biomarker values of the patients presented with acute COPD exacerbation in emergency service to the biomarker values of stable COPD patients, to determine the biomarker which is more sensitive for COPD and to investigate the difference status according to gender.
Methods
Statistical Analysis
Descriptive statistics for the studied parameters were presented as mean, standard deviation, minimum and maximum values. One-way ANOVA was performed for the comparison of group means. Following One-Way Variance Analysis, Duncan multiple comparison test was also used to determine different groups. For determination linear relationships among the parameters, Pearson correlation analysis was carried out in each group. The significance level was set at P < 0.05. All statistical analyses were performed with the SPSS software package (version 21; SPSS Inc., Chicago, IL, USA).
Results
Table 1: Descriptive statistics and comparison results of the groups for the parameters.
Correlation values of the biomarkers compared to the Control Group; RDW was found to be negatively correlated with MCV, MPV was negatively correlated with MCV and PLT, and positively correlated with RDW (Tables 2,3). Correlation values in Group are as follows; RDW showed a significant negative correlation with age and MCV, and a significant positive correlation with MPV and PaCO2 in Group I. In Group II, RDW showed a significant correlation with MCV, a significant correlation with MPV and PaCO2 (Table 4).
Table 2: Pearson correlation coefficients for the parameters in group I.
Table 3: Pearson correlation coefficients for the parameters in group II
Table 4: Pearson correlation coefficients for the parameters in control group.
We investigated whether there is a significant difference in biomarkers between groups according to gender. A significant difference was found between men and women in MCV (P = 0.03) and MPV (P = 0.04).
Discussion
In the studies according to the GOLD categories of COPD, they show that RDW levels are associated with increased mortality risk. In their studies, Tertemiz et al. showed that high RDW levels were associated with severity of disease and low survival rates in COPD patients [14]. Seyhan et al. think that RDW may be high due to inflammation and oxidative stress and therefore high RDW levels may reflect an inflammatory condition in COPD patients. Thus, RDW level is one of the most important factors showing mortality [15]. Kalemci et al. showed that RDW and PDW values were independently related to the severity of COPD in another study [10]. Ozgul et al. determined that RDW levels in COPD patients were significantly higher than in healthy individuals in their studies [16]. As stated in these results, RDW became more prominent. However, PLR value has been found to be more prominent in our study. When RDW values in Group I and Group II were compared to the ones in the Control Group, it was determined that there was a significant difference in Group II, but not in Group I. RDW values in Group I and Group II were negatively correlated with MCV values and the results in our study were partially consistent with data in literature.
MPV value is one of the platelet function indices showing the platelet production rate and stimulation. In a literature survey by Ulasli et al. investigated that MPV decreased during COPD exacerbation compared to stable period and the Control Group [17]. Decrease in MPV values may show increased systemic inflammation during COPD exacerbation, therefore MPV can be used as a negative acute phase reactant during acute COPD exacerbation. However, Makhouf et al. reported that MPV and PDW values in COPD patients were significantly higher than in Control Group [18]. Steiropoulos et al. reported that MPV and WBC levels in the COPD patients were higher than in smokers having normal respiratory function; hence, there may be vascular risk together with COPD [1]. In this study MPV values were found to be high in acute COPD exacerbations. Measurements of variances in MPV during follow-up can be considered as a rapid and reliable tool in the assessment of inflammatory responses. These results show platelet activation and increased systemic inflammation in COPD patients. In a study by Karadeniz et al. showed a higher platelet number in COPD patients during acute exacerbation [19]. The study by Harrison et al. reported that there was a significant increase in thrombocytosis of the patients with acute COPD exacerbation in one-year. They stated that thrombocytosis caused a significant increase especially in hospital mortality, and it was correlated with the symptoms of type II respiratory failure and severity of exacerbation [20]. Chen et al. investigated that inflammatory biomarkers observed in routine blood tests can widely be used as differential diagnosis and prognostic assessment factors in many cases such as inflammatory diseases, cancer and cardiovascular diseases [21].
The limitation of this study was the low number of patients and its retrospective nature.
In conclusion, since the elevation of PLR in an inflammatory condition reflects the increase in platelet number and the decrease in lymphocyte, it is a useful inflammatory biomarker to reflect the severity and activity of inflammation particularly during acute exacerbation in COPD patients. In this study, PLR is more sensitive than other biomarkers used in the treatments and follow-up of the prognosis of COPD patients. Thus, PLR can be used as a biomarker in the follow-up of acute COPD exacerbation in emergency departments.
Declaration of conflicting interests
The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.
Funding
The authors received no financial support for the research and/or authorship of this article.