Mean platelet volume as a predictor of pulmonary hypertension in patients with stable COPD

Abstract

Background: Pulmonary hypertension (PH) is one of the most common complications developed during the course of chronic obstructive pulmonary disease (COPD). Platelet activation plays an important role in its pathophysiology, and mean platelet volume (MPV) is considered a respectable index of platelet activation. The aim of this work is to assess the ability of MPV in predicting PH secondary to COPD as well as its severity.

Methods: A cross-sectional study was conducted on 228 stable COPD patients. CBC, echocardiography, and pulmonary function tests were performed.

Results: The prevalence of PH in stable COPD patients was high (63%), and the majority of patients had a mild degree (33%). There was no significant association between PH presence with different COPD grade, but, in very severe COPD, severe PH was significantly presented. MPV in COPD patients with PH was significantly higher than those without (9.02±1.14 vs 7.11±0.98, P<0.001). Moreover, a significant statistical rising of MPV with increased severity of PH. Multivariate regression analysis of predictors of PH demonstrated that; MPV is a real predictor of PH in such patients. The likelihood probability of PH increased up to 7-times with increasing one unit of MPV; (OR=6.7). A cut-off value of MPV >7.25 had 96% sensitivity and 76% specificity in predicting PH.

Conclusion: MPV was higher in COPD patients with PH and positively correlated with PH severity. If the data are to be confirmed, MPV may be taken into consideration in decision-making and management of COPD patients.

Introduction

Chronic obstructive pulmonary disease (COPD) is a progressive and irreversible airway inflammation that leads to persistence airflow obstruction. It is also associated with many secondary consequences depending on the severity of the disease and the frequency of the inflammatory process.^1,2

Pulmonary hypertension (PH) can be defined, regardless of its etiological cause, as chronic persistent elevation of pulmonary artery pressure and pulmonary vascular resistance, which subsequently leads to right side heart failure.³ The WHO classified PH into four groups, while the PH secondary to COPD placed in group (3).⁴

It was discussed in 2018, during the 6th World Symposium on PH, to revise the hemodynamic definition and lower the threshold of mean pulmonary artery pressure (mPAP) in diagnosis of PH from ⩾25 mmHg to >20 mmHg, but this new definition is still premature.^5–7

The prevalence of PH in stable COPD is widely ranged (20–91%) depending on many prospective views, such as PH definition, COPD severity grades, and the methods by which the pulmonary pressure is measured.^8,9

COPD as a chronic systemic disease has been associated with low grade inflammatory disorder, which is demonstrated by an increase of inflammatory cytokines, blood leucocytes, C-reactive proteins, and many other inflammatory markers.^10,11 Besides that chronic inflammatory state, pulmonary thrombosis was reported in 25% of COPD patients,¹² which may be due to platelets dysfunction and clotting system activation.^13,14

Whatever the cause of platelet activation (either due to systemic inflammation, oxidative stress condition, or hypoxemia),¹⁵ the cascade of platelet aggregation has begun, leading to release of its chemical mediators and producing endothelial injury.^13–16 The reactive platelet cells contain alpha and delta dens granules, the alpha granules stored a large amount of platelets growth factors (PGF), vasoactive substance as thromboxan A2 (TX A2), and many cytokines, such as interleukin (IL1 and 6), while delta granules stored a large amount of serotonin.^17–20 The injured endothelium acts as a thrombogenic focus,²¹ which subsequently attracts more and more platelets and starts to release plenty of vasoactive substance, causing pulmonary vasoconstriction, proliferation of smooth muscle cells, and pulmonary remodeling.²²

So, the platelets were involved in PH pathophysiology by different mechanisms of action; (1) thrombosis formation due to pulmonary vascular endothelial dysfunction, (2) inflammatory cytokines release, especially IL6, and (3) serotonin production, which was responsible for neutrophils aggregation producing various cycles of the inflammatory process.²²

Mean platelet volume is one of the platelet indices which reflect its activity; it is a simple and easy way to predict platelets dysfunction, either by excess production and small size formation or large size with insufficient production.^23–25

To our knowledge, there is no evidence in using MPV; a simple inflammatory marker, in predicting secondary PH in stable COPD patients, so the objectives of the current study were to try to answer that lack of information.

Methods

Study design and population

A multicenter cross-sectional study was carried out at Bani-Swaif University Hospitals, Zagazig University Hospitals, and Abbassia Chest Hospital Outpatient Clinics from March 2017 to the end of May 2018, and included stable COPD patients. The research was approved by Bani-Swaif and Zagazig University Ethical Committees. The enrolled cases were diagnosed as regarding GOLD criteria, then classified accordingly Stable COPD was diagnosed clinically when the patient symptoms resembled the pre-exacerbation state and there was no need for hospital admission²⁶

Exclusion criteria

The number of patients fulfilling the eligible criteria of the study reached 300; 72 patients were excluded, as shown in Figure 1.

Figure 1.

Flow chart of the studied patients.

Pulmonary function tests

Spirometric pulmonary functions were done using the Spirometry system (Master screen 2001, version 4.5, Erich Jaeger GMBH, Germany) in triple readings records, and the highest value was selected.

Echocardiography

All enrolled patients were subjected to trans-thoracic echocardiography using Ultrasound system (Vivid I, GE Healthcare, Little Chalfont, UK), with a 2.5 MHz transducer. The simplified Bernoulli equation (4*TRV2) was used to calculate the pressure gradient over the tricuspid valve, and finally summated with right aerial pressure (RAP) to calculate the Pulmonary Artery Systolic Pressure (PASP), which is equal to Right Ventricular Systolic Pressure (RVSP). The patients seemed to have PH if RVSP >30 mmHg. The patients seemed to have PH if PASP >30 mmHg, and were classified into mild (30–50 mmHg), moderate (50–70 mmHg), and severe (>70 mmHg) degrees.²⁷

Biochemical measurement

Including routine CBC; TLC, PLT, HB, and RBC with special consideration to MPV.

Statistical methods

The statistical analysis was done using Minitab 17.1.0.0 for windows (Minitab Inc., 2013, Pennsylvania, USA). Continuous date were presented as mean and SD, and categorical data as number and percent. The normality of data were examined using Shapilo Wilk test. Comparison between two continuous groups was done using independent Student's t-test and more than two groups with one-way ANOVA test. The two categorical groups or more were statistically analyzed using chi-square test. Pearson correlation coefficient test was used to examine the correlation between MPV and PASP in different COPD groups. Logistic regression analysis test with step wise elimination was used to predict the factors associated with PH, also the simple linear regression equation was estimated to predict PASP from MPV. The accuracy of MPV was assessed with receiver operating curve analysis, assuming that the area under the ROC curve of 0.9 for this study was significant with a margin of type I error 0.05 and type II error 0.1, the sample size calculated with a minimum total number of 70 and a minimum number of cases with PH of 35 using SigmaPlot software 12.5.0.38 for windows (SigmaPlot, Systat Software Inc. UK, 2011). All tests were two sided, P<0.05 was considered significant.

Results

The demographic and clinical criteria of the studied patients are summarized in Table 1. Depending on FEV1%, the studied patients were classified according to the degree of airway obstruction into moderate (88 patients, 39%), severe (75 patients, 33%), and very severe (65 patients, 28%) groups according to GOLD classification protocol.

Table 1.

Characteristics of the studied patients (n=228).

Variable	mean/n	SD/%
Age (mean, SD)	63.30	9.22
Smoking status (n, %)
Smoker	105.00	46.05
Ex-smoker	123.00	53.95
Smoking index (mean, SD)	53.40	46.49
Co-morbidity (n, %)	21.00	9.21
DM	9.00	3.95
HTN	16.00	7.02
TLC (mean, SD)	7.06	3.09
RBCs (mean, SD)	4.75	0.78
HB (mean, SD)	12.89	1.57
PLT count (mean, SD)	257.67	77.02
MPV (mean, SD)	8.33	1.42
Arterial O2 Saturation (mean, SD)	93.64	2.65
PASP (mean, SD)	43.24	17.61

Abbreviations: SD, standard deviation; n, number; DM, diabetes mellitus; HTN, hypertension; TLC, total leucocytes count (cell/µL)³; RBCs, red blood cell count (cell/µL)³; HB, hemoglobin (mg/dL); PLT, platelets count (cell/µL)³; MPV, mean platelet volume (fL); PASP, pulmonary artery systolic pressure (mmHg).

The prevalence of PH in stable COPD patients was high (63%), and the majority of patients with PH were in the mild degree (33%) group, while both moderate and severe PH represented 15% each. There were no significant associations of PH presence with different degrees of COPD (P=0.35) (Figure 2), but, in the very severe COPD groups, a severe degree of PH was significantly presented (P=0.002) (Figure 3).

Figure 2.

PH status in different COPD groups.

Figure 3.

Severity degree of PH in different COPD groups.

Considering the correlation between COPD stage with PASP and MPV, a significant statistical elevation of both PASP (mmHg) and MPV (fL) was reported in very severe COPD group (P=0.02 and <0.001, respectively) (Table 2), Moreover, the correlation between MPV and PASP was significantly positive, whatever the degree of COPD severity (r=0.79; P<0.001) (Figure 4).

Table 2.

PH and MPV in correlation with different COPD groups

Variable	COPD grades						P
Moderate (n=88)		Severe (n=75)		Very severe (n=65)
PH (n, %)	54	61.36	45	60	46	70.77	0.35#
PH grades (n, %)
Mild	32	36.36	18	24	26	40	0.002#
Moderate	17	19.32	14	18.67	4	6.15
Severe	5	5.68	13	17.33	16	24.62
MPV (mean, SD)	8.01	1.07	8.18	1.7	8.93	1.32	<0.001$
PASP (mean, SD)	39.48	15.38	44.2	18.8	47.23	18.24	0.02$

Notes: ^#Chi-square test, ^$One way ANOVA test, P<0.05 is considered significant.

Abbreviations: COPD, chronic obstructive pulmonary disease; MPV, mean platelet volume (fL); PASP, pulmonary artery systolic pressure (mmHg); PH, pulmonary hypertension.

Figure 4.

Correlation between MPV and PASP.

MPV in COPD patients with PH was significantly higher than those without (9.02±1.14 vs 7.11±0.98, P<0.001). Moreover, a significant statistical rising of MPV with increased severity of PH, P<0.001 (Table 3).

Table 3.

MPV in patients with PH

	MPV		P
PH	Mean	SD
No (n=83)	7.11	0.98	<0.001^
Yes (n=145)	9.02	1.14
PH grades
Mild (n=76)	8.32	0.77	<0.001$
Moderate (n=35)	9.14	0.66
Severe (n=34)	10.49	0.71

Notes: ^Independent t-test, ^$One way ANOVA test, P<0.05 considered significant.

Abbreviations: MPV, mean platelet volume; PH, pulmonary hypertension.

Multivariate regression analysis of predictors of PH demonstrated that; MPV and PLT cell counts were significantly capable in predicting PH. The likelihood probability of PH increased up to 7 times with increasing one unit of MPV (OR=6.7, P<0.001) (Table 4).

Table 4.

Predictors of PH in COPD patients using adjusted logistic regression models

Variables	OR	95% CI	P
PLT	1.02	(1.0077–1.0300)	0.001
MPV	6.70	(4.1205–10.8903)	<0.001
TLC	0.98	(0.7376–1.2944)	0.87
FEV1	0.99	(0.9673–1.0122)	0.37
Exacerbation frequency	0.59	(0.3454–1.0122)	0.051

Notes: Pearson; X²=210.5, P=0.9, the model was adjusted for all variables using stepwise elimination.

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in the first second; MPV, mean platelet volume (fL); PH, pulmonary hypertension; PLT, platelets count; TLC, total leucocytes count.

The validity of MPV in predicting PH was excellent and significant; the AUC was 0.9 (P<0.001) (Figure 5A). A cut-off value of MPV >7.25 had 96% sensitivity and 76% specificity in predicting PH. In predicting severe PH, the AUC was 0.95 (P<0.001) (Figure 5B). A cut-off value of MPV >9.75 had 94% sensitivity and 89% specificity in predicting severe PH.

Figure 5.

ROC curve analysis of MPV. (A) In predicting PH. (B) In predicting severe PH.

There was no statistically significant difference in mean MPV or mPAP with increased number of exacerbation per year, as shown in Figures 6 and 7.

Figure 6.

Correlation between exacerbation frequency and MPV.

Figure 7.

Correlation between exacerbation frequency and PASP.

The linear regression analysis of MPV established that it hada statistically significant predictive ability for PASP reading, P<0.001, and it accounted for 63.7% of the explained variability in PASP. The regression equation was: PASP=(−38.93+9.869 MPV) (Figure 8).

Figure 8.

PASP prediction equation using MPV.

Discussion

Due to the higher prevalence of COPD, PH associated with COPD was one of the most frequent causes of PH² The 5-year survival rate was only 36% in COPD patients with initial mPAP >25 mmHg, compared to 62% in those with initial mPAP ≤25 mmHg²⁸

The current study reported a 63% prevalence of PH in the studied COPD patients, mild PH represented 33%, while moderate and severe PH represented 15% each. This is in agreement with Maula et al²⁹ and Ali,³⁰ in their studies; the prevalence of PH was 65.4% and 60%, respectively, which closely resembled the international studies by Chaouat et al³¹ and Chatila et al.³² Also, Gajanan and Pophale³³ agreed that the frequencies of mild, moderate, and severe PH were 23%, 18%, and 12%, respectively. On the contrary, Naeije³⁴ recorded a lower prevalence, of less than 10%.

The prevalence of PH in COPD was varied from one study to another; from 18%³⁵ to up to 91%,³⁶ but most studies were based on pulmonary hemodynamic assessments conducted in those referred for surgical procedures; a prevalence cannot be generalized to the whole COPD population³⁷

The current study examined the MPV and its correlation with COPD severity grades, with furthermore correlation with PH presence, it was established that the MPV was significantly increased by increasing the severity of COPD (P<0.001) (Table 2), and also had a significant statistical elevation in patients with PH compared to those without. In comparing the MPV level in each PH degree, a significant statistical elevation was present in the severe PH group, P<0.001 (Table 3). That correlation between PASP was independently present, whatever the degree of COPD (r=0.79; P<0.001) (Figure 4).

Consistent with a recent report,³⁰ a significant positive correlation between MPV and increased severity of PAH was found. Another study³⁸ found that the MPV was increased with more advancement of COPD stage, but with an insignificant statistical difference, this might be due to the small sample size and lower number of patients at stage IV included in that study. Other contrasting reports^16,38 stated that MPV was not correlated with pulmonary function results nor COPD severity stage.

The platelet dysfunction in patients with COPD was summarized in many studies;^{12–14,39–42} platelets activation, increased aggregation, and platelet volume in pulmonary vessels which could possibly lead to PH and pulmonary thrombosis. Hence, Alessandri et al¹² found pulmonary thrombosis in approximately 25% of patients with COPD on autopsy. Also, Bansal et al²¹ added a significantly higher MPV in patients with COPD, which could possibly contribute to increased pulmonary thrombosis and hypertension.

In line with the current work, the relationship between MPV and PH had been shown in previous studies. Can et al⁴³ reported that MPV levels were higher in patients with PH than in the control groups (9.1 vs 8.2, P<0.001) and concluded that platelet activation may directly impact the pathogenesis of PH. Other studies have shown that patients with COPD had increased MPV values, especially in those with known PH.^12,39 Also, Varol et al⁴⁴ investigated MPV levels in patients with PH, and they found that MPV levels were higher in patients than in the control groups (8.68 vs 8.02, P=0.006) and concluded that increased MPV was present in patients with PH.

Güvenc et al⁴⁵ agreed, in their study (Comparison of mean platelet volume values among different causes of pulmonary hypertension) that MPV values in the PH group were increased compared to healthy controls, but, in his study, sub-group analysis revealed that MPV levels in the COPD group were higher compared to normal controls; this finding did not reach statistical significance. This difference may be due to the small number of COPD patients included in his analysis. On the other hand, Arslan et al,⁴⁶ who evaluated MPV among children with congenital heart disease (CHD) in left-to-right shunt patients with and without PAH, a significant decrease in MPV was noted in patients with PH than those without. This may be explained by a different mechanism of PH among patients with congenital heart disease than those with thrombo-embolic or hypoxic PH³⁰

During COPD exacerbation, the baseline inflammatory state becomes worse, and increased pro-inflammatory cytokines such as CRP,TNF-α and IL-6 may be involved in platelet activation.⁴⁷

Also, COPD exacerbation has a cumulative effect on FEV1. Patients who experienced up to one moderate-to-severe exacerbation yearly had a 37% faster reduction in lung function than those without exacerbation.⁴⁸ In the present study; a trend of increase MPV with more advancement of airway obstruction was reported (Table 2).

The link between exacerbation frequency (as a possible cause of chronic platelet activation) with either mean platelet volume or PASP was assessed; no statistical significant difference in mean MPV or mPAP with increased number of exacerbation per year, as shown in Figures 6 and 7. Also, when exacerbation frequency was taken into consideration in the logistic regression model, it did not appear as a significant independent predictor of the final outcome assessed; PH. This may be explained by returning of inflammatory parameters that were consistent with an acute exacerbation to baseline values.³⁰

The present work introduces a novel idea about using the MPV as an easy and reusable index to predict PH, severe PH, and PASP in patients with COPD.

Our study limitation was the diagnosis of PH using Trans-thoracic Doppler echocardiography but in real practice the detection of PH was made mostly by echocardiography, and right heart catheterization (the gold standard diagnostic method for PH) is an invasive and expensive procedure.

A meta-analysis had shown that; Trans-thoracic Doppler echocardiography had good sensitivity (83%), reasonable specificity (72%), and a correlation of 0.7 with invasively acquired measurements.^49,50

D’Alto et al⁴⁹ enrolled 161 patients referred for a suspicion of pulmonary hypertension, which was prospectively evaluated by a Doppler echocardiography performed by dedicated cardiologists within 1 hour of an indicated right heart catheterization. These authors used a Bland & Altman analysis to define accuracy (which was good) and precision (which was acceptable, but for population studies) of Doppler echocardiography prediction of invasively measured pulmonary vascular pressures and flow. They concluded that there were no significant biases between echocardiographic and catheterization measurements of mean pulmonary artery pressure (mPAP) and other measured variables. Thus, the echocardiographic measurements compared to catheterization measurements taken as a gold standard were highly accurate.

Conclusion

MPV, a marker of platelet activity, was increased in COPD patients who developed PH and positively correlated with PH severity. If our data are to be confirmed, MPV may be taken in consideration in decision-making and management of COPD patients.

Ethics approval and informed consent

The research was approved from Bani-Swaif and Zagazig University Ethical Committees. Written informed consents were obtained from all participants. This study was conducted in accordance with the Declaration of Helsinki.

Author contributions

MFM, AA, and AA were responsible for study design, patient selection, and data collection. MSA and MG were responsible for performing Echocardiography for all selected patients. AMS was responsible for laboratory investigations. All authors contributed toward data analysis, drafting and revising the paper, gave final approval of the version to be published and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.