Introduction
Chronic Obstructive Pulmonary Disease (COPD) is an irreversible inflammation of bronchial airways which results in parenchymal involvement as well as mucociliary malfunction. This disease is found in 5% of adults and it is responsible for one-fourth of death. It has been estimated that by the year 2020, COPD will be the third cause of death worldwide and a key factor of a society’s health and hygiene due to the patient’s repeated hospitalization requirements during exacerbation attacks owing to bacterial colonization in the lower parts of the respiratory system. This disease possesses a high mortality and morbidity rate and several factors involve in patients outcome, such that the role of inflammatory and thrombotic factors of the disease are not negligible (1-3).
White blood cells, especially neutrophils, which indicate the severity of inflammation in COPD patients, do not have a certain count and change in number throughout the stable and exacerbated phases of the disease. This is the result of the change of inflammation severity throughout different phases of the disease which can have a significant effect on the duration of the disease and the pulmonary function (4).
The mean platelet volume (MPV) is an indicator of platelet size, function, and activity. The larger platelets have dense granules which produce more serotonin, B-thromboglobulin and thromboxane A2 compared to the smaller types. Therefore, an increase of this marker indicates a higher risk of thrombotic events (5, 6). Furthermore, we are aware of the role of platelets in the inflammation process. The size of platelets present in the blood circulation and MPV are different, based on the severity of inflammation. In severe inflammatory conditions such as rheumatoid arthritis, MPV decreases due to the fact that only small platelets are in the blood circulation while the larger platelets are consumed at the inflammation site. In cases where there is less inflammation, such as psoriasis, MPV increases. As a result, the change in MPV can indicate both pre-inflammatory and pre-thrombotic activities (7-9). Although several studies have been conducted, the role of MPV in the outcome of COPD patients is not yet known and there have been inconsistent reports of the results of MPV changes (10-12).
Red Cell Distribution of Width (RDW) indicates the difference in the size of red blood cells or anisocytosis. In cases of inflammation such as COPD, RDW increases due to inhibition of erythropoiesis (13). This laboratory test which is proportional to the neutrophil-to-lymphocyte ratio can have a prognostic role in determining the outcome and mortality rate of these patients (14-17). Also, its increase in COPD patients can demonstrate failure in the right ventricle (18).
The aim of this study was to evaluate CBC related tests (WBC, PMN, MPV, RDW) besides mean pulmonary artery pressure (mPAP) and forced expiratory volume-one second (FEV1) in COPD exacerbated patients in order to determine the association of each test with patients’ outcome. In the present study, the patient’s outcomes were hospital mortality (primary outcome), and also the need for ICU admission (secondary outcome). We tried to answer this question: Were these paraclinical parameters associated with mortality or ICU admission?
Materials and Methods
This cross-sectional study was done at the Kerman Afzalipour Hospital, in the southeast of Iran on patients with exacerbated COPD referred to the emergency department from June 21, 2016, through June 21, 2017. At the beginning stages, before initiating the treatment, Complete Blood Count (CBC) tests were conducted on all the patients less than one hour. When the patients were stabilized after receiving treatment protocol for COPD patients, pulmonary function test (PFT) and echocardiography for measurement of ejection fraction (EF) and mean pulmonary artery pressure (mPAP) were done. The inclusion criteria for the study was all COPD exacerbation patients (sudden worsening of shortness of breath, quantity, and color of sputum) whose airway obstruction had an FEV1/FVC ratio less than 0.7 based on spirometric results (less than 12% or 200 cc increase in FEV1 after 15 minute receiving 2 puffs salbutamol) and rule out the other obstructive pulmonary diseases. Patients with increased inflammatory response or thrombotic problems such as deep vein thrombosis (DVT), pulmonary emboli, malignancies, febrile diseases, systemic hypertension, history of obstructive sleep apnea (OSA), renal failure, diabetes, left ventricular heart failure, patients being treated by anti-inflammatory medications such as corticosteroids, NSAIDs, ACEIs and statin drugs, patients with a history of antiplatelets or anti-coagulants therapy within the past two weeks, anemia, patients unwilling to cooperate, were excluded from the study (Figure 1).
Figure 1. Flow chart showing enrollment of patients
CBC and its related tests (WBC, PMN, MPV, RDW) were collected blood in tubes that contained potassium citrate and tests were done less than an hour after the blood sampling. A pulmonary function test was done by an experienced technician for all patients in the respiratory room. Before doing the tests, the complete process was explained to the technician to perform the tests. On account of the obtained results, the severity of the disease was classified according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD). A pulmonologist interpreted and approved the results. Besides, echocardiography was performed by Ejection Fraction (EF) and cardiologists to measure mean Pulmonary Artery Pressure (mPAP) to rule out the left ventricle heart failure in coronary care unit (CCU). An emergency medicine resident follow-up of the patients after diagnosis until the patients died or discharged. All of the data were obtained from handwritten files by an emergency medicine resident. An emergency medicine specialist frequently supervised data collection. In-hospital mortality and ICU admission were defined as the primary and secondary outcomes of this study, respectively. The hospital mortality was recorded by emergency medicine resident after checking hospital records. The ICU admission was done on the basis of pre-defined protocol and certified pulmonologist. This study followed the Helsinki Accords (1975), revised in Hong Kong (1989). The Ethics Committee of Kerman University of Medical Sciences approved the study (IR.KMU.REC 1394.566). We obtained informed consent from all patients before entering the study.
CBC and its related tests, FEV1, mPAP were the variables considered to be potentially correlated with the outcomes. These variables were considered quantitatively for their association with hospital mortality (primary outcome) and ICU admission (secondary outcome).
The description of quantitative variables was measured by Mean (±SD), qualitative variables by frequency and severity of association by Odds ratio (OR) and 95% confidence interval (CI). When p-value was less than 0.05, this test was considered statistically significant. If p-value was less than 0.25 in t-test and χ2 tests in univariate analysis, we were entered these variables in logistic regression model (19). In multivariate model, we used the backward conditional method. STATA version 12.0 (Stata Corp, College Station, TX, USA) was used for analysis.
Results
All quantitative variables that carried the potential possibility of hospital mortality and ICU admission were statistically analyzed by using univariate analysis. There was a significant difference between the variables and hospital mortality in this statistical model. Subsequently, Odds Ratio (OR) analysis was done to evaluate the severity of this association on the same variables (Table 2). For both univariate and multivariate analysis, MPV and RDW were both multiplied by 10 to evaluate its effects on the patient’s outcome by a 0.1 increase or decrease since the change of 1 unit causes a great influence in the outcome and complicates obtaining of the results. For every 0.1 increase in MPV and RDW, there would be an 8 and 1% increase in-hospital mortality rate, respectively.
Table 1. Patients’ characteristics in COPD patients
Variables |
N(%) |
Sex |
|
Male |
628 (58.26) |
Female |
450 (41.74) |
GOLD staging |
|
II |
442 (41) |
III |
636 (59) |
Age(y) ,Mean±SD |
70.13±12.26 |
WBC, Mean±SD |
8362.05±4953.72 |
PMN, Mean±SD |
77.74±10.39 |
Hb, Mean±SD |
13.44±7.17 |
MPV, Mean±SD |
9.11±1.04 |
RDW, Mean±SD |
13.79±2.27 |
Plt, Mean±SD |
135630.4±80049.70 |
mPAP(mmHg),Mean±SD |
37.22±7.29 |
EF(%), Mean±SD |
54.92±5.97 |
FE,Mean±SD |
49.30±6.91 |
Outcome |
|
A: Hospital mortality (%) |
93 (8.63) |
B: ICU Admission (%) |
88 (8.19) |
Abbreviation: WBC; White blood cell, PMN; Polymor-phonuclear leukocytes, Hb; Hemoglobin, MPV; Mean platelet volume, RDW; Red cell distribution width, Plt; platelet, mPAP; mean pulmonary artery pressure, EF; Ejection fraction, FEVI; Forced expiratory volume-one second
Table 2. Univariate regression analysis of variables according to their association with mortality
Variable |
Mortality |
OR (95%CI) |
P-value |
Age |
1.00(0.99-1.02) |
0.37 |
Sex |
1.00(0.65-1.55) |
0.96 |
CBC |
|
|
WBC
PMN |
1.01(1.01-1.02)
1.06(1.03-1.09) |
<0.0001
<0.0001 |
Hb |
1.11(1.02-1.20) |
0.01 |
MPV*10 |
1.08(1.05-1.10) |
<0.0001 |
RDW*10
Plt |
1.01(1.009-1.02)
1.00(0.99-1.01) |
<0.0001
0.08 |
PFT |
|
|
FE |