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. 2019 Oct 14;9(3):2045894019877157. doi: 10.1177/2045894019877157

Epidemiology and initial management of pulmonary arterial hypertension: real-world data from the Hellenic pulmOnary hyPertension rEgistry (HOPE)

Alexandra Arvanitaki 1, Maria Boutsikou 2, Anastasia Anthi 3, Sotiria Apostolopoulou 4, Aikaterini Avgeropoulou 5, Eftychia Demerouti 4, Dimitrios Farmakis 1, Christos Feloukidis 1, George Giannakoulas 1, Haralambos Karvounis 1, Panagiotis Karyofyllis 4, Ioanna Mitrouska 6, Sophia Mouratoglou 1, Katerina K Naka 7, Stylianos E Orfanos 3, Evangelia Panagiotidou 8, Georgia Pitsiou 8, Spyridon Rammos 4, Eleni Stagaki 3, Ioannis Stanopoulos 8, Adina Thomaidi 9, Helen Triantafyllidi 3, Iraklis Tsangaris 3, Dimitrios Tsiapras 4, Vassilios Voudris 4, Athanasios Manginas 2; on behalf of the Hellenic Society for the Study of Pulmonary Hypertension (HSSPH)
PMCID: PMC6792282  PMID: 31662847

Abstract

Pulmonary arterial hypertension (PAH) is a heterogenous clinical entity with poor prognosis, despite recent major pharmacological advances. To increase awareness about the pathophysiology, epidemiology, and management of the disease, large national registries are required. The Hellenic pulmOnary hyPertension rEgistry (HOPE) was launched in early 2015 and enrolls patients from all pulmonary hypertension subgroups in Greece. Baseline epidemiologic, diagnostic, and initial treatment data of consecutive patients with PAH are presented in this article. In total, 231 patients with PAH were enrolled from January 2015 until April 2018. At baseline, about half of patients with PAH were in World Health Organization functional class II. The majority of patients with PAH (56.7%) were at intermediate 1-year mortality risk, while more than one-third were low-risk patients, according to an abbreviated risk stratification score. Half of patients with PAH were on monotherapy, 38.9% received combination therapy, while prostanoids were used only in 12.1% of patients. In conclusion, baseline data of the Greek PAH population share common characteristics, but also have some differences with other registries, the most prominent being a better functional capacity. This may reflect earlier diagnosis of PAH that in conjunction with the increased proportion of patients with atypical PAH could partially explain the preference for monotherapy and the limited use of prostanoids in Greece. Nevertheless, early, advanced specific therapy is strongly recommended.

Keywords: clinical characteristics, risk stratification, specific medical treatment, pulmonary arterial hypertension

Introduction

Pulmonary arterial hypertension (PAH) is a rare heterogenous disease of the pulmonary vasculature, defined by an increased mean pulmonary artery pressure (mPAP) ≥25 mmHg, a pulmonary artery wedge pressure (PAWP) <15 mmHg, and increased pulmonary vascular resistance (PVR) ≥3 Wood Units.1 PAH is characterized by an adverse remodeling of the small pulmonary arteries with progressive increase in PVR that eventually leads to right heart failure and death, if not treated promptly. It could be idiopathic, familial, induced by drugs and toxins, or may be associated with a wide spectrum of diseases, such as connective tissue disease (CTD), congenital heart disease (CHD), portal hypertension, or schistosomiasis.24 A Task Force from the 6th World Symposium on Pulmonary Hypertension recently proposed a new definition of pre-capillary pulmonary hypertension (PH), with mPAP > 20 mmHg, PAWP < 15 mmHg, and PVR ≥ 3 Wood Units; however, prospective trials are required to determine whether this PH population might benefit from specific management.5

Despite major advances in pharmacotherapy of PAH in the last 15 years,6 we still lack thorough knowledge about the pathophysiology and the epidemiology of PAH. Although large national and international registries715 have so far provided useful information on the epidemiology, the diagnosis, and management of patients with PAH, regional differences certainly exist regarding patients' characteristics, diagnostic workup, and treatment availability. Moreover, since the registries include a mix of PAH patients with advanced age and various comorbidities, there is a scientific need for more epidemiological data from different countries, with different healthcare organization and financial background, in order to obtain a more comprehensive view of PAH worldwide.

Prompted by the increasing number of patients with PH who have been treated in expert centers in Greece so far and by the lack of epidemiological and management data for the Greek population, the Hellenic Society for the Study of Pulmonary Hypertension established a national network on PH. In this initial observational study, we present baseline data regarding the epidemiology, diagnosis, and management of patients with PAH in Greece.

Methods

The Hellenic Pulmonary Hypertension Registry (HOPE) is a PH registry that was launched in January 2015 and continues to enroll patients, mainly with PAH. The HOPE registry has been approved by the Institutional Review Board of each one of the nine participating PH expert centers in Greece according to the Declaration of Helsinki. All patients provided written informed consent for their inclusion in the study. Documentation has been Internet-based (PAH tool by Inovultus Lda, Portugal) and includes demographics, type of PH according to the European Guidelines,1 comorbidities, clinical symptoms and signs, World Heart Organization (WHO) functional class (FC), 6-minute walk distance (6-MWD), N-terminal pro-brain natriuretic peptide (NT-proBNP) serum levels, echocardiographic parameters, hemodynamics, lung function tests, computed tomography data, ventilation/perfusion scintigraphy, and detailed information about medications for PH, including supportive measures, such as oxygen therapy and anticoagulation, as well as PAH-specific medical therapy. The participating centers enter all of their eligible patients on a consecutive basis. Data are collected at the time of first visit of patients at the PH centers and at least in 6-month intervals or whenever the patient has a predefined clinical event (death, transplantation, PAH-related hospitalization, deterioration in FC, any unscheduled change in PAH therapy, or other serious adverse events).

The cut-off date for the data analysis of the present study was April 2, 2018. Inclusion criteria for this study were a diagnosis of PAH according to the definitions of the 2015 guidelines,1 age ≥14 years, and availability of data from right heart catheterization showing an mPAP ≥25 mmHg, a PAWP ≤ 15 mmHg, and PVR ≥ 3 Wood units. The exception was patients with Eisenmenger syndrome who could be diagnosed only by echocardiography. Classification of specific PAH subtype was assigned by the investigator reporting the case to the registry. The present study focused only on patients' baseline data, that is data at the time of first visit of patients at the PH centers, since follow-up data were not available yet for the majority of PAH patients.

An abbreviated version of the 2015 European Society of Cardiology (ESC)/European Respiratory Society (ERS) risk stratification strategy was used to categorize patients as low, intermediate, or high risk, as proposed by Hoeper et al.16 WHO FC, 6-MWD, NT-proBNP, right atrial pressure (RAP), cardiac index (CI), and mixed venous oxygen saturation at baseline were used for the risk stratification, if available.16 The cut-off values proposed in the European guidelines1 were graded 1–3 (1: low risk, 2: intermediate risk, and 3: high risk). For each patient, the sum of all grades was divided by the number of available variables and rounded to the next integer to define the risk group.16,17

Statistical methods

Data were presented as mean ± standard deviation for continuous variables with normal distribution, and as median and interquartile range for non-normally distributed variables. Categorical variables were presented as frequencies and percentages (%). Continuous variables were compared using the t-test for independent samples or the Mann–Whitney U test, while the chi-square test or the Fisher exact test was used to assess categorical variables. For multiple comparisons, one-way ANOVA or the Kruskal–Wallis test with post hoc analysis was used as appropriate. A p-value < 0.05 was considered statistically significant in this study. Data were analyzed using the SPSS version 23.0.

Results

Baseline characteristics

Between January 2015 and April 2018, 231 patients with PAH from nine PH centers from all over Greece were enrolled. Figure 1 shows the distribution of 231 patients across the various types of PAH. The most frequent PAH subtypes were idiopathic PAH (IPAH) (82, 35%), PAH due to CTD (71, 31%), and PAH associated with CHD (60, 26%). Four patients (2%) had heritable PAH (HPAH), three patients (1%) had PAH induced by drugs and toxins, six patients (3%) had PAH due to portal hypertension, and five patients (2%) had PAH due to more than one etiology. The most frequent cause of PAH-CTD was systemic sclerosis in 63% of patients, while Eisenmenger syndrome was present in 36% of patients with PAH-CHD. In PAH-CHD, simple type defects were the most frequent etiology (76%).

Figure 1.

Figure 1.

Classification of patients with PAH. The distribution of 231 patients across the various types of PAH in Greece (absolute number; %) is shown.

HOPE: Hellenic pulmOnary hyPertension rEgistry; PAH: pulmonary arterial hypertension.

Baseline demographic and clinical characteristics of the overall PAH population and among the three main PAH subgroups (IPAH/HPAH, PAH-CTD, and PAH-CHD) are presented in Table 1. About two-thirds of patients with PAH were women (mean age 51.8 ± 18.6 years). Female predominance was more prominent in PAH-CTD patients (78.8%), who were also older (60.9 ± 11.8 years) when compared with PAH-CHD patients (38.5 ± 22.1 years). Arterial hypertension and obesity were the most frequent comorbidities in the overall PAH population, being present in one-quarter of them. Furthermore, IPAH/HPAH subgroup presented notably more comorbidities than the other subgroups (Table 1).

Table 1.

Baseline demographics and clinical characteristics of patients with PAH and differences among subgroups.

PAH IPAH/HPAH PAH-CTD PAH-CHD p Value*
Subjects 231 86 (37.2) 71 (30.7) 60 (25.9)
 Female 149 (64.5) 48 (55.8) 56 (78.8) 37 (61.6) 0.009
 Age (years) 51.8 ± 18.6 53.5 ± 15.5§$ 60.9 ± 11.8§# 38.5 ± 22.1$# <0.0001
 BMI (kg/m2) 25.5 (7.7) 27.5 (6.9)$ 25.8 (8.0) 22.9 (6.6)$ <0.0001
Comorbidities
 Atrial fibrillation 10 (4.3) 4 (4.6) 2 (2.8) 4 (6.6) 0.578
 Arterial hypertension 59 (25.5) 31 (36.0) 23 (32.4) 4 (6.6) <0.0001
 Dyslipidemia 29 (12.6) 11 (12.8) 15 (2.1) 2 (3.3) 0.010
 Diabetes 30 (13) 17 (19.7) 8 (11.2) 2 (3.3) 0.012
 CAD 16 (6.9) 9 (10.4) 6 (8.4) 0 0.041
 Obesity 58 (25.1) 24 (27.9) 19 (26.7) 10 (16.6) 0.255
 Hypothyroidism 39 (16.9) 12 (13.9) 16 (22.5) 11 (18.3) 0.377
 Smoking 10 (4.3) 5 (5.8) 3 (4.2) 0 0.178
Symptoms
 Dyspnea 186 (80.5) 67 (77.9) 66 (92.9) 41 (68.3) 0.002
 Fatigue 120 (51.9) 40 (46.5) 40 (56.0) 30 (50.0) 0.468
 Palpitations 58 (25.1) 20 (23.2) 19 (2.7) 17 (28.3) 0.769
 Chest pain 21 (9.1) 11 (12.8) 6 (8.4) 3 (5.0) 0.267
 Syncope 16 (6.9) 6 (6.9) 4 (5.6) 4 (6.6) 0.941
 RHF 6 (2.6) 28 (32.5) 21 (29.5) 10 (16.6) 0.09
Functional signs
 Loud P2 82 (35.5) 39 (45.3) 24 (33.8) 16 (26.7) 0.06
 Cyanosis 42 (18.2) 13 (15.1) 15 (21.1) 14 (23.3) 0.42
 Clubbing 22 (9.5) 8 (9.3) 6 (8.5) 8 (13.3) 0.62
 JVD 37 (16) 8 (9.3) 13 (18.3) 12 (20.0) 0.14
 Hepatomegaly 21 (9.1) 7 (8.1) 6 (8.5) 6 (10.0) 0.92
 Hepatojugular reflux 27 (11.7) 10 (11.6) 8 (11.3) 7 (11.7) 0.97
 Ascites 10 (4.3) 5 (5.8) 1 (1.4) 2 (3.3) 0.34
 Edema 61 (26.4) 21 (24.4) 21 (29.6) 13 (21.7) 0.56
 Systolic murmur 34 (14.7) 13 (15.1) 8 (11.3) 11 (18.3) 0.52

Note: Categorical variables are presented as frequency and percentage, n (%).

Continuous variables are presented as mean value ± standard deviation or median value with interquartile range.

*

Statistical significance among the three PAH subgroups: p < 0.05

§

p < 0.05 between IPAH/HPAH and PAH-CTD for continuous variables.

$

p < 0.05 between IPAH/HPAH and PAH-CHD for continuous variables.

#

p < 0.05 between PAH-CTD and PAH-CHD for continuous variables.

BMI: body mass index; CAD: coronary artery disease; HPAH: hereditary pulmonary arterial hypertension; IPAH: idiopathic pulmonary arterial hypertension; JVD: jugular vein distension; PAH: pulmonary arterial hypertension; PAH-CHD; pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD: pulmonary arterial hypertension associated with connective tissue disease; P2: pulmonary component of second cardiac sound; RHF: right heart failure.

About half of patients with PAH (55%) were mildly symptomatic at baseline in WHO FC II, with dyspnea and fatigue being the most frequent presenting symptoms. No significant differences were found among subgroups regarding their FC; however, PAH-CTD patients achieved shorter 6-MWD than the other PAH subgroups (326.3 ± 114.0 m, p = 0.002) (Table 2). Hemodynamics were reported on 212 patients (91.8 %). Vasoreactivity test was performed in 37 patients with PAH and was positive in 5 patients (13.5%). The mPAP (47.1 ± 15.5 mmHg) and PVR (8.1 (6.4) Wood units) were increased in PAH population, with the lowest values of both variables detected in the PAH-CTD subgroup (p < 0.0001). A significant increase of SVO2 was also detected in PAH-CHD group in comparison to the other subgroups (p = 0.002). Moreover, the diffusion lung capacity was significantly decreased in PAH-CTD group (35.3 ± 16.4%, p < 0.0001), while PAH-CHD group presented signs of restrictive ventilatory impairment in spirometry (decreased forced expiratory volume and forced vital capacity) (Table 2). Finally, more than half of patients were considered as intermediate risk for 1-year mortality (56.7%), while patients with PAH-CHD were equally classified as low and intermediate risk, without however significant differences among subgroups (p = 0.278).

Table 2.

Baseline clinical assessment and hemodynamics of patients with PAH and differences among subgroups.

PAH IPAH/HPAH PAH-CTD PAH-CHD p Value*
Subjects 231 86 (37.2) 71 (30.7) 60 (25.9)
WHO FC
 I 10 (4.3) 7 (8.1) 0 3 (5.0) 0.06
 II 127 (55.0) 45 (52.3) 35 (49.3) 38 (63.3)
 III 84 (36.4) 28 (32.5) 33 (46.4) 18 (30.0)
 IV 10 (4.3) 6 (6.9) 3 (4.2) 1 (1.6)
6-MWD (m) N=230 (76.6%) 373.4 ± 118.1 399.3 ± 118.2§ 326.3 ± 114.0§# 384.7 ± 114.5# 0.002
NT-pro BNP (pg/mL) N = 155 (51.6%) 503.0 (1480.2) 535.0 (1071.5) 632.0 (2133.5) 261.0 (1690.0) 0.453
Risk stratification
 Low risk 85 (36.8) 28 (32.5) 24 (33.8) 29 (48.3) 0.278
 Intermediate risk 131 (56.7) 51 (59.3) 41 (57.7) 29 (48.3)
 High risk 15 (6.5) 7 (8.1) 6 (8.4) 2 (3.3)
Echocardiography
 RV hypertrophy 65 (43.6) 32 (37.2) 14 (19.7) 17 (28.3) 0.006
 RVEDD (mm) 38.2 ± 8.8 39.0 ± 10.4 37.3 ± 8.5 37.6 ± 5.2 0.744
 TAPSE (mm) 19.3 ± 4.9 19.3 ± 5.1 19.3 ± 4.1 18.4 ± 5.2 0.741
 TR Vmax (m/s) 3.9 ± 0.7 4.0 ± 0.6 3.7 ± 0.6# 4.3 ± 0.7# 0.001
 RVSP (mmHg) 71.2 ± 26.0 78.1 ± 24.6§ 65.3 ± 22.6§# 89.7 ± 30.3# <0.0001
Right heart catheterization, N = 212 (91.8%)
 mRAP (mmHg) 8.8 ± 5.0 9.1 ± 4.6 7.7 ± 4.7 9.7 ± 6.2 0.096
 mPAP (mmHg) 47.1 ± 15.5 49.5 ± 12.8§$ 39.9 ± 10.8§# 57.1 ± 20.8$# <0.0001
 PAWP (mmHg) 10.9 ± 3.8 10.6 ± 4.0 11.0 ± 3.6 11.3 ± 3.8 0.613
 CO (L/min) 4.5 ± 1.5 4.6 ± 1.6 4.5 ± 1.4 4.2 ± 1.5 0.346
 CI (L/min/m2) 2.6 ± 0.8 2.5 ± 0.9 2.6 ± 0.6 2.8 ± 0.9 0.143
 PVR (WU) 8.1 (6.4) 8.6 (5.5)§$ 5.6 (4.8)§# 10.7 (11.8)$# <0.0001
 HR (bpm) 79.7 ± 12.6 76.9 ± 11.2$ 80.5 ± 12.0 84.9 ± 14.6$ 0.005
 SVO2 (%) 69.4 ± 8.1 67.4 ± 7.5§ 68.2 ± 7.4# 73.8 ± 9.7§# 0.002
LFT, N = 105 (45.4%)
 FEV1 (%) 81.9 ± 20.1 86.2 ± 16.7$ 79.5 ± 21.6 58.8 ± 19.9$ 0.008
 FVC (%) 84.1 ± 20.1 89.6 ± 17.3$ 80.4 ± 22.3 64.1 ± 24.2$ 0.009
 FEV1/FVC (%) 81.5 ± 11.2 80.9 ± 1 2.7 82.5 ± 9.2 72.8 ± 9.2 0.25
 DLCO (%) 47.6 ± 24.1 56.6 ± 23.7§$ 35.3 ± 16.4§ 88.5 ± 21.6$ <0.0001
CPET, N = 30 (13.0%)
 VO2max (mL/kg/min) 14.2 ± 3.6 14.3 ± 3.4 12.7 ± 3.6 16.2 ± 1.5 0.33
 VO2max (%) 58.7 ± 17.1 60.4 ± 17.7 56.8 ± 17.6 46 ± 1.4 0.52

Categorical variables are presented as frequency and percentage, n (%).

Continuous variables are presented as mean value ± standard deviation or median value with interquartile range.

*

Statistical significance among the three PAH subgroups: p < 0.05.

§

p < 0.05 between IPAH/HPAH and PAH-CTD for continuous variables.

$

p < 0.05 between IPAH/HPAH and PAH-CHD for continuous variables.

#

p < 0.05 between PAH-CTD and PAH-CHD for continuous variables.

6-MWD: 6-minute walk distance; bpm: beats per minute; CI: cardiac index; CO: cardiac output; CPET: cardiopulmonary exercise testing; DLCO: diffusing capacity for carbon monoxide; FC: functional class; FEV1: forced expiratory volume during the first second of expiration; FVC: forced vital capacity; HPAH: hereditary pulmonary arterial hypertension; HR: heart rate; IPAH: idiopathic pulmonary arterial hypertension; LFT: lung function test; mPAP: mean pulmonary artery pressure; mRAP: mean right atrial pressure; NT-proBNP: N-terminal pro-brain natriuretic peptide; PAH: pulmonary arterial hypertension; PAH-CHD: pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD: pulmonary arterial hypertension associated with connective tissue disease; PAWP: pulmonary artery wedge pressure; PVR: pulmonary vascular resistance; RV: right ventricle; RVEDD: right ventricular end-diastolic diameter; RVSP: right ventricular systolic pressure; SvO2: oxygen saturation in pulmonary artery; TAPSE: tricuspid annular plane systolic excursion; TR Vmax: maximal velocity of tricuspid regurgitation; VO2max: oxygen consumption at maximum exercise; WHO: World Health Organization; WU: Wood units.

Medical therapy

Table 3 presents data about supportive and specific PAH medical therapy in the overall PAH population and among PAH subgroups. As far as supportive therapy is concerned, about one-fifth of patients with PAH received oxygen therapy at baseline, half of them were on diuretics, while nearly a quarter of them received an oral anticoagulant. Among PAH subgroups, 4 out of 10 patients with IPAH/HPAH received an oral anticoagulant and more than half of them were on diuretics. Furthermore, oxygen therapy was prescribed in more than one-third of patients with PAH-CTD.

Table 3.

Baseline medical therapy in patients with PAH and differences among subgroups.

PAH IPAH/HPAH PAH-CTD PAH-CHD p Value*
Subjects 231 86 (37.2) 71 (30.7) 60 (25.9)
Supportive therapy
 Oxygen therapy 50 (21.6) 22 (25.5) 24 (33.8) 4 (6.6) 0.001
 Diuretics 111 (48.1) 49 (56.9) 36 (50.7) 21 (35.0) 0.031
 OAC 60 (25.9) 35 (40.6) 16 (22.5) 9 (15.0) 0.001
Targeted PAH therapy 207 (89.6) 79 (91.8) 65 (91.5) 51 (85.0) 0.340
 PDE5i 111 (48.1) 52 (60.5) 37 (52.1) 17 (28.3) 0.001
 sGC 6 (2.6) 4 (4.6) 2 (2.8) 0 0.241
 ERA 167 (72.3) 55 (63.9) 52 (73.2) 48 (80.0) 0.099
Prostanoids 28 (12.1) 16 (18.6) 10 (15.4) 1 (1.6) 0.007
 iv epoprostenol 8 (28.6) 5 (31.2) 1 (10.0) 1 (100) 0.216
 sc treprostinil 5 (17.6) 2 (12.5) 3 (30.0) 0 0.275
 inh iloprost 15 (53.6) 9 (56.2) 6 (60.0) 0 0.039
 Selexipag 3 (1.3) 2 (2.3) 0 1 (1.6) 0.451
No PAH therapy 24 (10.4) 7 (8.1) 6 (8.4) 9 (15.0) 0.340
Monotherapy 117 (50.6) 35 (40.6) 36 (50.7) 37 (61.6) 0.044
 PDE5i 25 (21.4) 11 (31.4) 10 (27.7) 3 (8.1) 0.005
 sGC 3 (2.6) 2 (5.7) 1 (2.7) 0 0.383
 ERA 84 (71.8) 17 (48.5) 25 (69.4) 34 (91.9) <0.0001
 Prostanoids 2 (1.7) 2 (5.7) 0 0 0.119
Double combination 71 (30.7) 34 (39.5) 22 (28.2) 12 (20.0) 0.043
 PDE5i + ERA 58 (81.6) 28 (82.3) 19 (86.3) 12 (100) 0.300
 PDE5i + Prostanoid 8 (11.2) 5 (14.7) 2 (9.1) 0 0.345
 ERA + Prostanoid 3 (4.2) 2 (5.8) 1 (4.5) 0 0.694
Triple combination 19 (8.2) 10 (11.6) 7 (12.7) 2 (3.3) 0.201

Note: Categorical variables are presented as frequency and percentage, n (%).

*

Statistical significance among the three PAH subgroups: p < 0.05.

ERA: endothelin receptor agonists; HPAH: hereditary pulmonary arterial hypertension; inh: inhaled; IPAH: idiopathic pulmonary arterial hypertension; iv: intravenous; OAC: oral anticoagulant; PAH: pulmonary arterial hypertension; PAH-CHD; pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD: pulmonary arterial hypertension associated with connective tissue disease; PDE5i: phosphodiesterase type 5 inhibitors; sc: subcutaneous; sGC: guanylate cyclase stimulator.

Only 1 out of 10 patients with PAH did not receive a targeted PAH medical therapy at baseline. About half of patients received a phosphodiesterase type 5 inhibitor (PDE5i), while nearly three-fourth of them received an endothelin receptor agonist (ERA). Prostanoid use was limited in 12.1% of patients with PAH. Half of patients with PAH were on monotherapy at baseline, mainly with an ERA (71.8%), while 38.9% of them received a combination therapy (mostly an ERA with a PDE5i) (Table 3).

Among PAH subgroups, oral combination therapy was most frequently used in IPAH/HPAH (51.1%). PDE5i and prostanoid use were also higher in this subgroup (60.5% and 18.6%, respectively). The majority of patients with PAH-CHD received an ERA (80%), either as monotherapy (56.6%) or combination therapy (23.3%) (Table 3). Calcium channel blockers (CCBs) were most frequently prescribed in PAH-CTD (19.7%), mainly due to digital ulcers and comorbidities, but also in five patients with IPAH due to positive vasoreactivity test.

Risk stratification in PAH

Table 4 presents the baseline characteristics of patients with PAH according to their 1-year mortality risk. All patients had available more than two out of six variables required for the calculation of modified PAH risk score. The majority of patients with PAH were at intermediate risk (56.7%), more than one-third were low risk (36.8%) and only 6.5% were high-risk patients. The estimated 1-year mortality risk was associated, as expected, with WHO FC, 6-MWD, NTproBNP, mean RAP, CI, and SVO2, but also with age, body mass index, mPAP, PVR and echocardiographically derived right ventricular diameter at end-diastole, maximal tricuspid regurgitation velocity, and right ventricular systolic pressure. As for the medical therapy, mortality risk at baseline was associated with the number of administered PAH-specific drugs. The majority of high-risk patients received a combination therapy (66.6%), while most low-risk patients were on monotherapy (68.2%), primarily with an ERA (74.1%). Furthermore, the need for oxygen therapy and diuretics was greater in high-risk patients when compared with low- and intermediate-risk ones.

Table 4.

Differences in baseline clinical assessment, hemodynamics, and therapeutic management of patients with PAH according to their 1-year mortality risk.

N = 231 Low risk Intermediate risk High risk p Value*
Subjects 85 (36.8) 131 (56.7) 15 (6.5)
 Female 58 (68.2) 80 (61.0) 10 (66.7) 0.550
 Age (years) 48.0 (27.0)§$ 56.0 (20.0)§ 58.0 (23.0)$ <0.0001
 BMI (kg/m2) 24.2 (7.8)$ 25.7 (7.2)# 30.2 (8.7)$# 0.025
WHO FC
 I 8 (9.4) 2 (1.5) 0 <0.0001
 II 64 (75.3) 62 (47.3) 1 (6.6)
 III 13 (15.3) 62 (47.3) 9 (60.0)
 IV 0 5 (3.8) 5 (33.3)
6-MWD (m) 446.6 ± 87.9§$ 341.5 ± 104.8§# 183.4 ± 109.1$# <0.0001
NT-proBNP (pg/mL) 176.5 (175.3)§$ 810.5 (1357.0)§# 4259.0 (3607.0)$# <0.0001
Echocardiography
 RVEDD (mm) 34.0 (9.0)$ 39.0 (12.0)# 54.0 (18.5)$# 0.009
 TAPSE (mm) 20.0 (7.0) 18.0 (6.0) 17.0 (9.0) 0.1
 TR Vmax (m/s) 3.6 (0.9)$ 4.0 (0.8)# 4.6 (1.3)$# 0.001
 RVSP (mmHg) 59.0 (31.2)$ 70.0 (28.0)# 102.5 (41.5)$# <0.0001
Right heart catheterization
 mRAP (mmHg) 6.0 (4.8)§$ 9.0 (6.0)§# 16.5 (5.3)$# <0.0001
 mPAP (mmHg) 42.0 (20.5)$ 45.0 (17.0)# 58.5 (16.3)$# <0.0001
 PAWP (mmHg) 9.8 ± 3.6§$ 11.3 ± 3.7§ 12.9 ± 4.1$ 0.013
 CO (L/min) 4.7 (2.3)§$ 4.0 (1.6)§# 3.2 (0.6)$# <0.0001
 CI (L/min/m2) 2.8 (0.9)§$ 2.2 (0.9)§# 1.7 (0.3)$# <0.0001
 PVR (WU) 6.4 (5.9)$ 8.1 (5.9)# 14.2 (7.4)$# <0.0001
 HR (bpm) 79.8 ± 12.1 79.1 ± 12.9 84.5 ± 13.1 0.43
 SVO2 (%) 74.3 ± 5.1§$ 67.3 ± 7.8§# 59.7 ± 8.7$# <0.0001
Supportive therapy
 Oxygen therapy 10 (11.7) 34 (25.9) 6 (40.0) 0.010
 Diuretics 29 (34.1) 70 (53.4) 12 (80.0) 0.001
 OAC 16 (18.8) 40 (30.5) 4 (26.6) 0.159
Targeted PAH therapy 80 (94.1) 113 (86.2) 14 (93.3) 0.161
 PDE5i 31 (36.5) 70 (53.4) 10 (66.7) 0.017
 sGC 2 (2.4) 2 (1.5) 2 (13.3) 0.024
 ERA 63 (74.1) 90 (68.7) 12 (80.0) 0.517
 Prostanoids 8 (9.4) 17 (12.9) 3 (20.0) 0.173
 iv epoprostenol 3 (37.5) 4 (23.5) 1 (33.3) 0.757
 sc treprostinil 0 3 (17.6) 2 (66.6) 0.037
 inh iloprost 5 (62.5) 10 (58.8) 0 0.142
 Selexipag 0 2 (1.5) 1 (6.6) 0.103
No PAH therapy 5 (5.8) 18 (13.7) 1 (6.6) 0.161
Monotherapy 58 (68.2) 55 (42.0) 4 (26.6) <0.0001
 PDE5i 12 (20.7) 12 (21.8) 1 (25.0) 0.973
 sGC 1 (1.7) 1 (1.8) 1 (25.0) 0.015
 ERA 43 (74.1) 39 (70.9) 2 (50.0) 0.572
 Prostanoids 1 (1.7) 1 (1.8) 0 0.964
Double combination 19 (22.4) 46 (35.1) 6 (40.0) 0.101
 PDE5i + ERA 15 (78.9) 40 (86.9) 6 (100.0) 0.409
 PDE5i + Prostanoid 2 (10.5) 6 (13.0) 0 0.632
 ERA + Prostanoid 2 (10.5) 1 (2.1) 0 0.272
Triple combination 3 (3.5) 12 (9.1) 4 (26.6) 0.009

Note: Categorical variables are presented as frequency and percentage, n (%).

Continuous variables are presented as mean value ± standard deviation or median value with interquartile range.

*

Statistical significance among low-, intermediate- and high-risk patients with pulmonary arterial hypertension: p < 0.05.

§

p < 0.05 between low- and intermediate- risk patients for continuous variables.

$

p < 0.05 between low- and high-risk patients for continuous variables.

#

p < 0.05 between intermediate- and high-risk patients for continuous variables.

6-MWD: 6-minute walk distance; BMI: body mass index; bpm: beats per minute; CI: cardiac index; CO: cardiac output; ERA: endothelin receptor agonists; FC: functional class; HR: heart rate; inh: inhaled; iv: intravenous; mPAP: mean pulmonary artery pressure; mRAP: mean right atrial pressure; NT-proBNP: N-terminal pro-brain natriuretic peptide; OAC: oral anticoagulant; PAH: pulmonary arterial hypertension; PAWP: pulmonary artery wedge pressure; PDE5i: phosphodiesterase type 5 inhibitors; PVR: pulmonary vascular resistance; RVEDD: right ventricular end-diastolic diameter; RVSP: right ventricular systolic pressure; sc: subcutaneous; sGC: guanylate cyclase stimulator; SvO2; oxygen saturation in pulmonary artery; TAPSE: tricuspid annular plane systolic excursion; TR Vmax: maximal velocity of tricuspid regurgitation; WHO: World Health Organization; WU: wood units.

Discussion

This is the first National Registry on PΑH in Greece, supported by nine expert PH centers nationally, providing baseline information on demographics, epidemiology, clinical characteristics, and treatment management of the Greek patient population with PAH. The registry is among the most recent in Europe and the United States, as it was launched in January 2015. Although the number of patients included in the cohort is relatively small compared with other registries, most of the findings regarding epidemiology and clinical presentation are comparable with other cohorts (Table 5).8,10,11,13,14,18,19 Our population in terms of demographic characteristics such as age, female predominance, and obesity prevalence, was similar to other registries.8,10,11,13,14,18,19 Furthermore, hypertension, obesity, and diabetes mellitus were the most common comorbidities in PAH and especially in the IPAH/HPAH subgroup. This may be associated with late diagnosis of PAH—after the fifth decade of life in the majority of our patients and reflects the presence of a novel clinical entity of “atypical” PAH, highlighted also in other registries.13,20 On the other hand, our cohort included a larger proportion of PAH-CHD (26%) and PAH-CTD (31%), compared with other registries, while only a minority due to drugs and toxins, human immunodeficiency virus, and portal hypertension (Table 5). This difference could be explained by the fact that most tertiary centers for CHD in Greece are participating in this registry, thus PAH is diagnosed early in the course of the disease. Moreover, the increased risk of developing PAH in the presence of systemic sclerosis and other CTDs, has raised awareness and resulted in the implementation of a close echo-based screening of these cases, which probably explains the larger number of reported PAH-CTD in our cohort.2123 However, in terms of other PAH etiologies the percentage is lower than in most other registries and is probably related to low overall physician awareness of PAH in these patients.8,9,13,18,19,24

Table 5.

Comparative baseline demographic, clinical, hemodynamic, and treatment data between patients with PAH in Greece and other PAH Registries.

Registry Ref. HOPE REVEAL 13 COMPERA 10 FRENCH 19 SPANISH 8 SWISS 14 ENGLISH 11 GIESSEN 18
Enrollment period 2015–2018 2006–2009 2007–2011 2002–2003 1998–2008 1998–2012 2001–2009 1993–2008
PAH population, n 231 2525 1278 674 866 517 482 685
PAH classification (%)
 IPAH 35.0 46.2 65.6 39.2 30.0 60.0 92.9 42.9
 HPAH 2.0 2.7 N/A 3.9 N/A N/A 5.4 N/A
 DPAH 1.0 5.0 N/A 9.5 3.2 2.0 1.7 N/A
 HIV-PAH 0 2.0 N/A 6.2 N/A N/A 0 4.1
 PAH-CTD 31.0 25.3 19.6 15.3 15.0 18.0 0 21.2
 PAH-CHD 25.9 9.8 7.3 11.3 16.0 8.0 0 13.3
 Po-PAH 3.0 5.0 3.9 10.4 7.0 5.0 0 7.4
Demographics N=587
 Female (%) 64.5 79.5 60.3 65.3 71.0 60.0 69.9 65.0
 Age (years) 51.8 ± 18.6 53.0 ± 14.0 71.0 (16.0) 50.0 ± 15.0 45.0 ± 17.0 57.0 ± 16.0 50.1 (17.1) 51.0 (16.0)
 BMI (kg/m2) 25.5 (7.7) Ν/Α Ν/Α 24.4 ± 5.5 Ν/Α 26.0 ± 7.0 28.3 ± 6.3 Ν/Α
Comorbidities (%)
 Arterial hypertension 25.5 40.2 Ν/Α Ν/Α Ν/Α Ν/Α 5.3 (24/455) Ν/Α
 Diabetes 13.0 12.0 Ν/Α Ν/Α Ν/Α Ν/Α 14.3 (65/455) Ν/Α
 Obesity 25.1 33.3 Ν/Α Ν/Α Ν/Α Ν/Α Ν/Α
 Smoking 4.3 Ν/Α Ν/Α Ν/Α Ν/Α Ν/Α 14.4 (52/361) Ν/Α
WHO FC (%)
 II 55.0 N/A 9.0 24.0 31.0 24.0 15.5 19.0
 III/IV 40.7 73.6 (1348/1831) 91.0 75.0 69.0 75.0 79.6 67.7
6-MWD (m) 373.4 ± 118.1 366.0 ± 126.0 293.0 (126.0) 329.0 ± 109.0 363.0 ± 120.0 362.0 ± 137.0 292.4 (123.0) 325.0 (126.0)
Right heart catheterization
 mRAP (mmHg) 8.8 ± 5.0 9.3 ± 5.6 8.0 (5.0) 8.0 ± 5.0 9.0 ± 5.0 9.0 ± 4.0 10.1 (6.0) 8.0 (6.0)
 mPAP (mmHg) 47.1 ± 15.5 50.7 ± 13.6 44.0 (12.0) 55.0 ± 15.0 54.0 ± 16.0 48.0 ± 15.0 54.1 (13.9) 51.0 (16.0)
 CI (mL/min/m2) 2.6 ± 0.8 2.4 ± 0.8 2.2 (0.7) 2.5 ± 0.8 2.6 ± 0.9 2.5 ± 0.8 2.1 (0.7) 2.3 (0.8)
 PVR (WU) 8.1 (6.4) N/A 9.6 (5.5) N/A 12.0 ± 6.0 9.4 ± 5.6 12.8 (6.3) 10.6 (9)
 SVO2 (%) 69.4 ± 8.1 62.9 ± 10.0 63.0 (8.0) 63.0 ± 9.0 N/A 63.0 ± 10.0 61.5 (9.5) 61.0 (10.0)
PAH-specific therapy (%) N = 517 N = 479 N = 510
 No therapy 10.4 3.5 0 N/A N/A 28.0 0.6 11.4
 Monotherapy 50.6 46.1 85.0 N/A N/A 59.0 97.2 71.8
 Combination therapy 38.9 50.4 15.0 N/A N/A 13.0 2.2 16.8
 PDE5i 48.1 49.0 62.4 N/A N/A 22.0 29.2 N/A
 ERAs 72.3 47.0 55.4 N/A N/A 52.0 44.3 N/A
 Prostanoids 12.1 40.5 2.7 N/A N/A 14.0 18.8 N/A

Note: Categorical variables are presented as percentage.

Continuous variables are presented as mean value ± standard deviation or median value and interquartile range.

6-MWD: 6-minute walk distance; BMI: body mass index; CI: cardiac index; DPAH: pulmonary arterial hypertension induced by drugs and toxins; ERA: endothelin receptor agonists; FC: functional class; HIV-PAH: human immunodeficiency virus-pulmonary arterial hypertension; HPAH: hereditary pulmonary arterial hypertension; IPAH: idiopathic pulmonary arterial hypertension; mPAP: mean pulmonary artery pressure; mRAP: mean right atrial pressure; N/A: not applicable; PAH: pulmonary arterial hypertension; PAH-CHD: pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD: pulmonary arterial hypertension associated with connective tissue disease; PDE5i: phosphodiesterase type 5 inhibitors; Po-PAH: porto-pulmonary hypertension; PVR: pulmonary vascular resistance; SvO2: oxygen saturation in pulmonary artery; WHO: World Health Organization; WU: Wood units.

Furthermore, in accordance with other PAH cohorts, dyspnea and fatigue were the most common symptoms at baseline. However, our population had more favorable clinical characteristics at diagnosis, since half of patients were in WHO II FC (Table 5). The 6-MWD distance was slightly better compared with other registries, while hemodynamics (lower mPAP and PVR, higher SVO2%) were slightly more favorable in our population.8,10,11,1315,18,19 Similar to other registries, the majority of the PAH population was at intermediate 1-year mortality risk, according to the modified PAH risk assessment score.13,16,17 This observation implies that PAH patients in our cohort may have underestimated their symptoms and their FC, quite common in the PAH-CHD cohort,25 which could have led the physician to opt for monotherapy. It should be taken into consideration that echocardiography is widely available in Greece. Thus, the fact that most Greek patients have easy access to this, inexpensive in our country, first-line screening tool may be associated with earlier diagnosis in the course of the disease.

In terms of supportive therapy, diuretics were used by approximately half of patients with PAH. Oral anticoagulants were also frequently used in IPAH/HPAH subgroup, despite the fact that the recommendation for their administration in patients with IPAH has been downgraded to IIb according to the latest ESC Guidelines.1

Almost half of PAH patients received monotherapy at baseline assessment. ERAs and PDE5i, the former more frequently, were used as monotherapy. Within PAH group, ERAs were more frequently given as monotherapy in PAH-CHD subgroup, while PDE5i in PAH-CTD subgroup. These results are in agreement with previous reports demonstrating ERAs and PDE5i being the most widely used treatment-specific drugs.911,13,14 ERA and PDE5i combination was also the most widely used combination in PAH group, although the rate of dual therapy was lower than previously reported.13 This is possibly related to the better WHO FC of the majority of our population, the large proportion of patients with Eisenmenger syndrome,1 and the high prevalence of patients with PAH and comorbidities6 that could explain why most patients received monotherapy. However, there were also registries that reported a much lower use of combination therapy at baseline compared with our cohort.10,11,14,18 Furthermore, the use of prostanoids as monotherapy or combination therapy was lower in our cohort when compared with other registries.11,13,14 In general, treatment management was in line with the ESC/ERS treatment guidelines.1,2 However, the satisfactory functional status (WHO I/II) of the majority of patients in our cohort, in contrast to other European registries, may partially explain the low percentage of prostanoid use in this population, albeit a more aggressive approach could also be considered.26 Additionally, the intravenous route of administration along with the known side effects might have contributed to the low percentage of use of parenteral prostanoids as monotherapy or combination therapy in our cohort.

A limitation of this study is the relatively small sample size which does not yet permit the application of more sophisticated statistical methods that would provide reliable prognostic information. Additionally, in this paper, information regarding only the initial assessment is presented. Thus, data regarding the clinical course, survival, and evolution of treatment management over time are still pending.

In conclusion, this study indicates that the demographic, clinical, and management data of patients with PAH in Greece did not differ significantly when compared with other countries. However, the initial clinical assessment shows that although most PAH patients are of intermediate risk, their functional capacity is better than previously reported in similar populations. This may reflect an improvement in the timely identification of patients at risk for developing PAH and lead to early diagnosis of the disease; yet, adaptation of a contemporary aggressive targeted strategy should be encouraged.

Acknowledgements

We would like to thank the following co-investigators for their contribution in the HOPE Registry:

AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki: Vasilios Grosomanidis, Pavlos Rouskas, Κonstantinos Kouskouras, Irene Nikolaou, Despoina Parcharidou, and Stavros Hadjimiltiades

Cardiology Department, Mediterraneo Hospital, Glyfada, Athens: Lilika Papa and Antonios Marsonis

Multidisciplinary Pulmonary Hypertension Center, Attikon University General Hospital; National and Kapodistrian University of Athens Medical School, Athens: Apostolos Armaganidis, Dimitrios Konstantonis, Frantzeska Frantzeskaki, Michalis Rizos, Olympia Apostolopoulou, Michalis Lignos, Alexandra Frogoudaki, Loukianos Rallidis, Christos Pappas, Athanasios Pappas, Roza Vrettou, John Lekakis, Efstathios Ιliodromitis, Pelagia Katsimbri, Dimitrios Boumpas, Theofanis Karageorgas, Antonios Fanouriakis, Panagiotis Vlachoyiannopoulos, Spyridon Papiris, Efrosini Manali, Andrianna Papaioannou, Aikaterini Vlami, Panagiotis Lymperopoulos, Stylianos Argentos, Maria Mademli, Nikolaos Kelekis, Athanasios Tzioufas, Ioannis Armeniakos, Trapali Xeni Geronikola, Konstantina Ntai, Vasiliki Tsangkari, Elli Mitrakou, and Marina Kontogiorgi

Cardiology-Pediatric Cardiology Department, Onassis Cardiac Surgery Center, Athens: George Athanasopoulos, George Karatasakis, Genovefa Kolovou, Maria Koutelou, Katerina Marathia, Irene Mastorakou, Stamatios Adamopoulos, Eftychia Sbarouni, Athanasios Dritsas, Sofia Thomopoulou, Ioannis Iakovou, Ioannis Kriaras, Athanasios Theodorakos, Olga Karapanagiotou, Stamatia Kampanarou, Spyridoula Katsilouli, Evangelos Leontiades, Panagiota Georgiadou, and Varvara Papadopoulou

Cardiology Department, Hippokration General Hospital, Athens: Eleutherios Pashalidis and Ioannis Leontitsis

Department of Thoracic Medicine, University Hospital of Heraklion, Heraklion, Crete, Greece: Georgios Prinianakis, Alexandros Patrianakos, Dimitrios Georgopoulos, Eumorfia Kondili, Nikolaos Tzanakis, Michalis Fanaridis, Markella Antonogiannaki, and Maria Bolaki

2nd Department of Cardiology, University of Ioannina Medical School, University Hospital of Ioannina: Aris Bechlioulis and Lampros Michalis

Cardiology Department, Democritus University of Thrace, Alexandroupolis, Greece: Stavros Konstantinides

Cardiothoracic Surgery Department, St. Luke’s Clinic, Panorama, Thessaloniki: Antonios Pitsis

Fourth Department of Internal Medicine, Hippokration General Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki: Theodoros Dimitroulas

Ethical approval

The HOPE Registry received ethical approval from the Institutional Review Board of every participating center (AHEPA University Hospital, Thessaloniki; Mediterraneo Hospital, Athens; Attikon University General Hospital, Athens; Onassis Cardiac Surgery Center, Athens; Hippokration University General Hospital, Athens; Heraklion University Hospital, Crete; University Hospital of Ioannina; “G. Papanikolaou” Hospital, Thessaloniki; and University Hospital of Alexandroupolis) according to the Declaration of Helsinki, and all patients provided written informed consent for their inclusion in the study.

Authors’ contribution

Alexandra Arvanitaki and Maria Boutsikou contributed equally to the design of this work, the acquisition, analysis, and interpretation of data, and drafted and revised the article for important intellectual content. Athanasios Manginas made a substantial contribution to the concept and design of this work and revised the article critically for important intellectual content. The rest of the authors contributed to the acquisition of patients’ data and revised the article critically for important intellectual content.

Conflict of interest

Alexandra Arvanitaki and Maria Boutsikou were financially supported from the Hellenic Society for the Study of Pulmonary Hypertension. Anastasia Anthi reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas, Bayer, ELPEN, GSK, MSD, Lilly, and United Therapeutics. Eftychia Demerouti is an advisory board member for Actelion Pharmaceuticals Hellas, MSD Hellas, and GlaxoSmithKline and an honorarium speaker for Actelion Pharmaceutical Hellas and MSD Hellas. George Giannakoulas reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas, Bayer, ELPEN, Galenica-Ferrer, GSK, Pfizer, Lilly, MSD, and United Therapeutics. Haralambos Karvounis reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas, Bayer, ELPEN, Galenica-Ferrer, GSK, Pfizer, Lilly, and MSD. Ioanna Mitrouska reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas, Bayer, ELPEN, MSD, and GSK. Katerina K. Naka reports lecture fees from Novartis, Medtronic, and Abbott, while she serves as an investigator in randomized clinical trials and/or registries sponsored by Novartis, Merck, Amgen, BMS, Boehringer Ingelheim, Pfizer, and Actelion Pharmaceutical Hellas, outside the submitted work. Stylianos E. Orfanos reports receiving research grants and/or honoraria and/or consultancy fees from Actelion Pharmaceutical Hellas, Bayer, ELPEN, Galenica-Ferrer, GSK, MSD, Pharmaserve Lilly, PharmaSwiss, Pfizer, and United Therapeutics. Georgia Pitsiou reports receiving honoraria and consultancy fees from Actelion Pharmaceutical Hellas, Bayer, ELPEN, MSD, and GSK. Ioannis Stanopoulos reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas. Iraklis Tsangaris reports receiving honoraria and consultancy fees from Actelion Pharmaceuticals Hellas, Bayer, ELPEN, GSK, Pfizer, Lilly, and United Therapeutics. Athanasios Manginas reports consultation fees from Astra Zeneca, Bayer, ELPEN, Actelion Pharmaceuticals Hellas, and MSD. The rest of the authors report no conflicts of interest.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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