Short-Term Impact of Iron Deficiency in Different Subsets of Patients with Precapillary Pulmonary Hypertension from an Eastern European Pulmonary Hypertension Referral Center.

BACKGROUND: Over the last few decades, interest in the role of iron status in pulmonary hypertension (PH) has grown considerably due to its potential impact on symptoms, exercise capacity (as assessed by the 6-minute walk distance [6MWD]), prognosis, and mortality. The aim of the present study was to identify iron deficiency (ID) prevalence in specific precapillary PH subgroups of Romanian patients and its short-term impact on 6MWD. PATIENTS AND METHODS: Complete datasets from 25 precapillary PH adults were examined and included in the analysis. Data were collected at baseline and after continuous follow-up of an average of 13.5 months. Enrolled patients were assigned to group 1 (pulmonary arterial hypertension) or subgroup 4.1 (chronic thromboembolic pulmonary hypertension), and individualized targeted therapy was prescribed. General characteristics, World Health Organization functional class, 6MWD, pulse oximetry, laboratory parameters, and echocardiographic and hemodynamic parameters were recorded. Ferritin values and transferrin saturation were used to assess ID.
RESULTS: At baseline, 16 out of 25 patients were iron deficient. The univariate linear regression analysis did not show a statistically significant impact of ID on 6MWD (p=0.428). In multivariate regression analysis, possible predictors of 6MWD, including ID, were not statistically significant at baseline or after an average of 13.5 months follow-up (p=0.438, 0.361, respectively) and ID indicates a negative impact on 6MWD independent of applied corrections.
CONCLUSION: The results of this study demonstrate that 1.4.1 subgroup PAH patients have an increased prevalence of ID compared with other etiologies. ID has a negative impact on the functional status (assessed by 6MWD), in specific groups and subgroups of patients with precapillary PH, albeit not independently nor significant to other known predictors such as age, gender, oxygen saturation, and hemoglobin value. These data can be integrated with global research and are consistent with phenotypes of patients diagnosed with PH of different etiologies.

Introduction

According to current guidelines, pulmonary hypertension (PH) is defined as an increase in mean pulmonary arterial pressure (mPAP) to ≥25 mmHg at rest as determined by right heart catheterization.1,2 An mPAP of ≥25 mmHg is associated with a pulmonary artery wedge pressure (PWP) of ≤15 mmHg, whereas a pulmonary vascular resistance (PVR) of ≥3.0 Wood units defines precapillary PH.1 An updated hemodynamic definition of pulmonary hypertension was released in 2019 at the Sixth World Symposium on Pulmonary Hypertension. The proposed new definition is characterized by mPAP >20 mmHg, while precapillary PH is defined as mPAP >20 mmHg, PWP ≤15 mmHg and PVR ≥3 WU.2 The hemodynamic definition takes both pathological factors and therapeutic approaches into account to classify the clinical conditions associated with PH in five patient groups.1

Worldwide, the incidence of PH is not systematically reported, nor is data related to the prevalence of pulmonary arterial hypertension (PAH, group 1) and chronic thromboembolic pulmonary hypertension (CTEPH, subgroup 4.1) in different subgroups. Both PAH and CTEPH are rare and devastating diseases, which invariably progress to right heart failure and premature death.3 Documentation of PH epidemiology is necessary for standardization of diagnostic and therapeutic management practices, with a particular emphasis on aligning variations among different geographic and economic regions worldwide. Details of the incidence, prevalence, and survival rate of PAH and CTEPH patients in Central and Eastern Europe are published in the Czech Republic registry, Russian National Registry, and Latvian nationwide PH registry.4–6

Several risk assessment tools have been developed to stratify patients, assess mortality risk, and tailor therapy in pulmonary hypertension cases.1,7–10 Sonnweber et al published a comparative analysis in which seven different risk assessment methods were compared, and concluded that there is still a need for new tools in intermediate- and high-risk precapillary PH patients, the present methods being inaccurate for predicting mortality.11

In some clinical circumstances, modified, simplified score calculators that include little accessible data and undependable or invasive hemodynamic parameters can be used to predict 1-year mortality and long-term transplant-free survival in adult PAH or PAH associated with congenital heart disease (PAH-CHD) patients.12–15

Over the few past decades, considerable interest in the role of iron status in idiopathic PAH and PAH-CHD has developed due to its potential impact on symptoms, exercise capacity (as assessed by the 6-minute walk distance [6MWD]), prognosis, and mortality.16,17 Iron deficiency is highly prevalent in PH patients, ranging from 27% to 63% of cases.18 In current practice, decreased values of serum ferritin and transferrin saturation indicate iron deficiency the need for iron replenishment. Several studies have evaluated the potential benefit of iron administration, highlighting significant positive outcomes in terms of improved exercise capacity, New York Heart Association (NYHA) functional classification of heart failure, and quality of life.19 Correction of iron deficiency has to be done with caution, especially in PAH-CHD patients because an excessive erythropoietic response could aggravate blood viscosity, as suggested by Broberg et al.20

Available data about the management of PAH and CTEPH patients in Romania are minimal, especially concerning short- and medium-term survival.

This research aimed to identify iron deficiency prevalence, and its short-term impact (determination and prediction) on functional capacity as assessed by the 6MWD test, in specific precapillary pulmonary hypertension groups and subgroups of patients from a single Romanian referral center. This is the first study presenting real-life data in a cluster of Romanian PAH and CTEPH patients over 18 years of age.

Materials and Methods

Study Participants and Design

Data records from a total of 48 precapillary PH patients (October 2015 to February 2021) were examined at the beginning of this retrospective study. At the time of the analysis, the records were incomplete for 23, and consequently a cohort of 25 adult patients (15 women), diagnosed and treated according to recommendations and drugs approved in Romania, were included in the analysis. The mean sample age was 46.40±18.64 years. The females were on average younger than the males (40.07 vs 55.94 years).

The present research includes data (demographic, laboratory test, functional status) available for each patient at baseline and continuously thereafter over a mean period of 13.5 months. We regard our study as short-term given this brief follow-up.

The data were obtained from a tertiary-level institution, the County Emergency Clinical Hospital, National Centre for Adult Pulmonary Hypertension Treatment, Targu Mures, Romania.

Depending on the clinical diagnosis, the enrolled patients were assigned to group 1 (PAH) or group 4, subgroup 4.1 (chronic thromboembolic PH-CTEPH). PAH patients were assigned to specific subgroups: 1.1, idiopathic PAH (iPAH); 1.4.1, PAH associated with connective tissue disease (PAH-CTD); or 1.4.4, PAH associated with congenital heart disease (PAH-CHD).

Patients with hematological disorders, active bleeding, ongoing oral iron supplementation, advanced chronic kidney disease with a glomerular filtration rate of less than 30 mL/min/1.73 m2 (CKD-EPI formula), severe liver disease, established endocrine disorders, and changes in PH therapy within three months prior to screening were excluded.

All patients were on individualized, targeted therapy. Specific drug treatment options at the time of the study were sildenafil, bosentan, macitentan and riociguat. The majority of CTEPH patients were medically treated as pulmonary endarterectomy (PEA) was inaccessible; only for two inoperable patients was balloon pulmonary angioplasty (BPA) offered. Supportive therapies (oral anticoagulants, diuretics, oxygen, and cardiovascular drugs, but excluding iron substitution) were adjusted individually as appropriate to patient status.

Associated Variables Considered in the Study

At enrollment, associated variables were recorded, including general characteristics (age, gender, body mass index), World Health Organization (WHO) functional class of PH, 6MWD, pulse oximetry, laboratory parameters (including NT-proBNP [N-terminal pro-brain natriuretic peptide]), echocardiographic studies, and hemodynamic parameters. For each patient, blood pressure at rest and electrocardiograms were acquired. Fasting peripheral blood samples were collected from an antecubital vein at baseline and during follow up, and analyzed at a local ISO-15189-certified laboratory.

The laboratory parameters included complete blood count, serum iron, creatinine, aspartate aminotransferase, alanine aminotransferase, and uric acid. Serum ferritin and transferrin were determined by immunoturbidimetry. Fibrinogen plasma levels were calculated by coagulometry. Serum NT-proBNP levels were measured using a fluorescence immunoassay.

Iron status was assessed from baseline serum levels of iron (normal range: 9.0–30 µmol/L), ferritin (normal range 30–400 µg/L [male], 30–150 µg/L [female]), and transferrin (laboratory range: 228–428 µg/dL). Transferrin saturation (TSAT) was calculated from iron saturation and total iron binding capacity (TIBC) as inferred from transferrin concentration.21,22 Iron deficiency was defined using the strict definition proposed by Sonnweber et al.23 Anemia was defined as a hemoglobin level of less than 13.0 g/L for males and 12.0 g/L for females. Iron deficiency status related to common co-morbidities (for example, gastrointestinal diseases, malignancy, hemorrhage, hemosiderinuria, hemoglobinuria) was excluded. In iron-deficiency patients, parenteral replenishment of iron stores was carried out with ferric carboxymaltose or Fe(III)-hydroxide sucrose (Ferinject®, Venofer®, respectively, Vifor Pharma, Switzerland).24 The maximum administered dose was 15 mg iron/kg body weight, and the total iron dose was calculated according to the Ganzoni formula using a web application ().

Standard ultrasound evaluation of cardiac chambers, valvulopathies and pulmonary circulation was performed (GE Vivid™ E9 ultrasound system, GE Healthcare, Boston, MA, USA) at enrollment and at regular visits during follow-up. All exams were performed according to current guidelines.25,26

Diagnostic and comprehensive hemodynamic assessments were carried out by standard right-heart catheterization (RHC) via the right femoral vein.27 RHC was provided in the Emergency Institute for Cardiovascular Diseases and Transplantation of Targu Mures, Romania or in other catheter laboratories designated for PH patients. Acute vasodilator testing with nitric oxide using standard procedures and carefully monitored by an anesthesiologist was performed to identify the group of PAH patients who might benefit from Diltiazem. Ad-hoc left heart catheterization and/or coronary angiography were offered in selected cases.

Functional exercise capacity was objectively evaluated at admission using a non-encouraged 6MWD test performed according to American Thoracic Society Committee (ATS) and ERS/ATS recommendations and technical standards.28,29 The 6MWD and other features (pulse oximetry, heart rate, Borg dyspnea score before and immediately after the test) were recorded on standardized sheets.

As per the protocol, all available data were analyzed at three times: baseline and after an average of 7.5 and 13.5 months of uninterrupted specific therapy.

Ethics Approval and Consent to Participate

In compliance with the rules of the Helsinki Declaration and International Ethical Regulations, including all subsequent amendments, all study participants provided written informed consent. This study was conducted under the approval of the Research Ethics Committee of the “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Targu Mures, Romania (research approval number 1283/2021).

Statistical Analysis

Data are shown as numerical values or percentages for categorical variables and were analyzed with the chi-square test (gender, WHO class [Table 1]). For continuous variables, the mean ± standard deviation (SD) was calculated and analyzed with a parametric data test (ANOVA) for normally distributed data, and for skewed data, a nonparametric test Kruskal–Wallis (age, oxygen saturation [Table 1], cardiac index [Table 2]) was used. We considered a value of p<0.05 to be statistically significant. The significance of the determinant and predictive effects of independent variables (etiology, age, oxygen saturation, red blood cell count, hemoglobin, hematocrit, iron deficiency status, NT-proBNP, and cardiac index) on dependent variable (6MWD) was assessed using univariate and multivariate linear regression models at baseline, 7.5 months and 13.5 months. The Kaplan–Meier method was used to estimate cumulative survival.30 All statistical analyses were carried out using GraphPad Prism version 9.00 (GraphPad Software, San Diego, CA, USA, ) and IBM® SPSS® Statistics for Windows version 25.0 (IBM Corp. Armonk, NY, USA).

Table 2

Hemodynamics, Cardiac Ultrasound Dataset, and Specific Therapy at Baseline in Studied Groups

Variable		Clinical classification of PH groups
	Patients(n=25)	Group 1 – PAH			Group 4 – CTEPH and other pulmonary artery obstructions	p value
		Subgroup1.1 – iPAH(n=5)	Subgroup1.4.1 – PAH-CTD (n=2)	Subgroup1.4.4 – PAH-CHD(n=12)	Subgroup4.1 – CTEPH(n=6)
Hemodynamic parameters (RHC)
mPAP (mmHg)	54.48±12.98	60.2±10.08	42±19.80	58.08±9.33	46.67±16.07	NS
PVR (HRU)	11.51±6.93	11.5±9.72	10.15±0.92	12.79±7.68	9.40±3.89	NS
CI (l/min/m2)	2.70±1.00	2.59±0.36	2.40±0.14	3.13±1.21	2.09±0.73	NS
Echocardiographic parameters
PAPs (mmHg)	81.26±21.73	70.20±24.41	54.50±31.82	87.70±18.61	86.50±16.84	NS
RA area (cm2)	24.59±10.08	20.12±3.37	22.00±11.31	29.92±19.51	33.32±13.43	NS
IVC (mm)	21.35±3.73	22.2±2.78	20.5±0.71	20.98±4.45	21.67±3.93	NS
Pericardial effusion	8	4	2	2	-	0.0029
Specific drug therapy	Patients (number)
ERA	6	-	2	3	1	-
PDE5	11	5	-	4	2	-
Combined therapy (ERA and PDE5)	5	-	-	5	-	-
sGC	3	-	-	-	3	-

Abbreviations: CI, cardiac index; CTEPH, chronic thromboembolic pulmonary hypertension; ERA, endothelin receptor antagonists; HRU, hybrid reference units (Wood units); iPAH, idiopathic pulmonary arterial hypertension; IVC, inferior vena cava; mPAP, mean pulmonary arterial pressure; n, number; NS, not statistically significant; PAH-CHD, pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD, pulmonary arterial hypertension associated with connective tissue disease; PAH, pulmonary arterial hypertension; PAPs, pulmonary artery pressure (systolic); PDE5, phosphodiesterase type 5 inhibitors; PH, pulmonary hypertension; PVR, pulmonary vascular resistance; RA, right atrium; RHC, right heart catheterization; sGC, soluble guanylate cyclase.

Table 1

Patient’s Baseline Characteristics and Subgroup Variables Analysis

Variable		Clinical classification of PH groups
	Patients(n=25)	Group 1 – PAH			Group 4 – CTEPH and other pulmonary artery obstructions	p value(ANOVA/*chi-square test/ **Kruskal-Wallis test)
		Subgroup1.1 – iPAH(n=5)	Subgroup1.4.1 – PAH-CTD(n=2)	Subgroup1.4.4 – PAH-CHD(n=12)	Subgroup4.1 – CTEPH(n=6)
Clinical parameters
Age (years)	46.40±18.64	61.00±10.46	51.00±1.41	31.08±10.83	63.33±13.89	<0.0001**
Gender (female)	15	4	1	9	1	NS*
BMI (kg/m2)	25.17±5.42	28.15±3.51	20.60±0.57	23.25±5.90	28.05±4.26	NS
WHO class (II/III/IV)	4/17/4	0/3/2	1/1/0	3/9/0	0/4/2	<0.0001*
6MWD (meters)	343±133	230±96.4	311±129	424.2±80.5	285±164	0.0413
Oxygen saturation (%, pulse oximetry)	90.08±7.63	94.20±4.81	92.50±2.12	86.50±9.20	93.00±3.69	NS**
SBP (mmHg)	109.0±20.31	115.0±25.98	117.5±10.61	101.7±20.71	115.8±14.97	0.4073
Heart rate (bpm)	78.40±16.70	74.60±7.30	73.50±12.02	80.92±18.42	78.17±21.95	0.8872
Laboratory parameters (normal values)
WBC (4-9x103/μL)	7.81±1.65	9.50±4.08	6.33±0.79	7.11±1.39	8.28±1.86	0.0137
RBC (4.2-5.5x106/μL)	5.37±0.94	5.23±0.96	4.79±0.80	5.62±1.03	5.20±0.85	NS
Hemoglobin (13.0-17.0 g/dL)	14.86±2.79	13.98±1.97	12.85±1.20	15.49±3.48	15.02±2.01	NS
Hematocrit (35.0-45.0%)	44.53±7.72	41.82±5.16	40.20±1.27	46.63±9.80	44.05±5.24	NS
Serum iron (9.0-30.0μmol/L)	12.72±5.32	11.7±4.39	10.4±1.27	12.80±5.66	14.18±6.61	NS
Serum ferritin (µg/L)	43.93±49.83	34.36±25.93	19.12±3.76	32.06±35.52	83.93±77.94	NS
TSAT (%)	16.29±6.47	14.38±4.72	15.00±0.0	15.97±7.01	18.95±7.90	NS
NT-proBNP (min–max) (pg/mL)	1562±1645 (42.9–4980)	1836±2057 (145–4780)	1125±1411 (127.8–2123)	937.4±1164 (42.9–3800)	2859±2077 (105–5760)	NS
AST (5-45U/L)	22.64±6.40	23.60±8.82	32.0±14.14	21.17±3.74	21.67±4.63	NS
ALT (5-45U/L)	17.32±7.57	18.60±10.92	14.50±3.54	15.92±5.81	20.0±9.03	NS
SCr (0.5-1.0mg/dL)	0.97±0.23	1.07±0.21	0.82±0.33	0.87±0.14	1.15±0.25	0.0316
SUA (150-340μmol/L)	309.9±118.4	329.80±49.66	248.50±345.80	301.8±97.27	330±134.20	NS
Fibrinogen (1.70-3.20 x102mg/dL)	4.06±0.59	3.45±0.64	3.38±0.92	4.37±1.04	4.06±0.59	NS

Notes: *Chi-square test; **Kruskal–Wallis test. Data are presented as mean±SD unless otherwise specified.

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; bpm, beats per minute; CTEPH, chronic thromboembolic pulmonary hypertension; iPAH, idiopathic pulmonary arterial hypertension; NS, not statistically significant; NT-proBNP, N-terminal pro-brain natriuretic peptide; PH, pulmonary hypertension; PAH, pulmonary arterial hypertension; PAH-CHD, pulmonary arterial hypertension associated with congenital heart disease; PAH-CTD, pulmonary arterial hypertension associated with connective tissue disease; RBC, red blood cells; SBP, systolic blood pressure; Scr, Serum creatinine; SUA, serum uric acid; TSAT, transferrin saturation; WBC, white blood cells; WHO, World Health Organization; 6MWD, six-minute walk distance.

Results

Baseline characteristics and iron status for all 25 patients are summarized in Table 1. The male patients were on average older than the females (p=0.03). The patients were mainly in WHO functional class III at baseline (p<0.0001).

With respect to PH etiology, there were no significant differences in the number of patients studied (p=0.05); however, the mean age was significantly different (p<0.0001), CTEPH patients were older compared to the other groups (Table 1). Functional capacity assessed by 6MWD was significantly higher in the PAH-CHD subjects, with a mean value of 424.2±80.5 m.

Invasive and non-invasive hemodynamic characteristics were assessed at the time of PH diagnosis by right heart catheterization and transthoracic echocardiography (Table 2). With respect to the mean PAPs, no significant statistical difference was observed between PAH and CTEPH patients (p=0.7889). The PH-CHD subgroup had the highest mean systolic pulmonary arterial pressure in the cohort, but this difference was not statistically significant (p=0.0930). In the right atrium area analysis, two patients with a single atrium (belonging to subgroup 1.4.4) were excluded.

At baseline, 80.0% of iPAH patients (4 out of 5 patients) presented with pericardial effusion, which was significantly different from the other PH subgroups (p=0.0029). One year mortality risk was assessed in the PAH group using an abridged REVEAL 2.0 risk calculator format (REVEAL Lite 2).15 Among 19 PAH patients, 94.73% were considered at low-risk of mortality (Figure 1).

Figure 1

REVEAL Lite risk assessment of PAH patients (19 PAH patients ID and non-ID cases).

Figure 2

Six-minute walk distance in all studied case.

Treatment-naïve PH patients were started on initial monotherapy with 30% receiving endothelin receptor antagonists, 55% phosphodiesterase-5 inhibitors, and 15% soluble guanylate cyclase. At the end of the study period, a double-sequential combination was prescribed to 60% of all patients. For PAH-CHD patients already receiving a specific treatment, the regimen was unchanged for entire study period.

Using the criteria described in Materials and Methods, iron deficiency was identified in 16 out of the 25 research subjects (Table 3).

Table 3

Iron Deficiency-Patient Characteristics and Subgroup Variables at Baseline

		Clinical classification of PH groups
	Patients	Group 1 – PAH			Group 4 – CTEPH and other pulmonary artery obstructions	p value
		Subgroup1.1 – iPAH(n=5)	Subgroup1.4.1 – PAH-CTD(n=2)	Subgroup1.4.4 – PAH-CHD(n=12)	Subgroup4.1 – CTEPH(n=6)
ID patients /all studied patients	16/25	3/5	2/2	8/12	3/6	NS
ID percentage	64.0%	60.0%	100%	66.66%	50.0%	NS
Variables	ID patients	Iron deficiency in subgroups
WHO functional class (I/II/III/IV)	0/4/9/3	0/0/1/2	0/1/1/0	0/3/5/0	0/0/2/1	NS
6MWD (meters)	324.7±126.3	181.7±54.85	311.3±129.0	407.3±77.91	256.7±148.4	0.0206
Oxygen saturation (%)	89.31±7.43	92.00±5.29	92.50±2.12	86.0±8.90	93.33±4.16	NS
Serum iron (µg/L)	9.61±2.85	9.40±1.74	10.40±1.27	9.86±3.67	8.63±2.74	NS
Serum ferritin (ng/mL)	16.16±3.67	17.46±2.98	19.12±3.76	14.95±4.14	16.12±2.79	NS
TSAT (%)	12.26±2.66	11.30±2.25	15.0±0.0	11.70±2.34	12.90±4.25	NS
Hemoglobin (g/dL)	13.68±1.60	13.17±2.93	12.85±1.20	14.11±1.52	13.57±0.23	NS
NT-proBNP (pg/mL)	1684±1813	2895±2061	1125±1411	824.10±123	3139±2340	NS

Abbreviations: PH, pulmonary hypertension; PAH, pulmonary arterial hypertension; ID, iron deficiency, iPAH, idiopathic pulmonary arterial hypertension; PAH-CTD, pulmonary arterial hypertension associated with connective tissue disease; PAH-CHD, pulmonary arterial hypertension associated with congenital heart disease; CTEPH, chronic thromboembolic pulmonary hypertension; ID, iron deficiency; NS, not statistically significant; NT-proBNP, N-terminal pro-brain natriuretic peptide; TSAT, transferrin saturation; WHO, World Health Organization; 6MWD, six-minute walk distance; NS, not statistically significant.

The prevalence of iron deficiency was highest in the PAH-CTD subgroup (1.4.1). Iron-deficient patients were on average older than non-ID patients (p=0.8733). At baseline, more than half of ID patients (56.25%) were in WHO functional class III. Functional capacity in ID-patients as assessed by 6MWD was 324.7±126.3 meters, and although this was less than for the non-ID group (375.5±145.6 meters), the difference was not statistically significant (p=0.3702) (Figure 2).

Significantly lower levels of hemoglobin were identified in ID patients compared with non-ID patients (13.69±1.602 g/dL vs 16.84±3.386 g/dL, respectively; p=0.0040).

At baseline, univariate linear regression analysis did not show a statistically significant effect of ID on 6MWD (p=0.428); ID accounts for only.7% (coefficient of determination R2=0.027) of the total variation in the 6MWD. In our univariate model, a decrease in the ID value by one unit corresponded to an increased walking distance of 3.805 meters.

In multivariate regression analysis at baseline, possible predictors of walking distance (etiology, age, peripheral oxygen saturation, red blood cell [RBC] count, hemoglobin and hematocrit values, iron deficiency status, NT-proBNP, and cardiac index) were not statistically significant (p=0.438). However, in the same analysis, the walking distance increased by 34.58 m in CTEPH patients, which correlated with reduced ID. In our model, the decrease in 6MWD was related to an increase in levels of NT-proBNP. Among the above-mentioned variables, four were predictive of 6MWD based on standardized coefficients (beta): cardiac index (0.319), hemoglobin (0.301), etiology (0.287), and iron deficiency (−0.127).

In a similar multivariate regression model, we used data collected at a mean of 7.5 months to test for possible predictors of walking distance (excluding age, NT-proBNP, and cardiac index). Correction of iron deficiency was associated with an increase in 6MWD of 10.644 meters in all patients. At this point, the most remarkable increase in 6MWD was related to PH etiology: compared with the baseline analysis, CTEPH patients experienced an increase of 58.66 meters compared with the PAH subgroups. Based on standardized coefficients (beta), the variables that were predictive of 6MWD were hematocrit (1.507), pulse oximetry (1.026), RBC count (0.926), and ID (−0.442).

At the end of the study (13.5 months), several predictive indices (ID, age, etiology, pulse oximetry, RBC value, hemoglobin, and NT-proBNP), and the dependent variable 6MWD were analyzed in a multivariate regression model. This analysis did not show statistical significance (p=0.361), and ID did not exert the same influence on 6MWD as in the other models (p=0.972), independent of ID correction. Similarly, the mean value for the NT-proBNP cohort was not significantly different (p=0.4678), despite the individual difference (p=0.0002), at baseline and the end of the study.

Survival was assessed in February 2021, five years after the first patient was enrolled. The overall survival rate was 76.0% at 60 months follow-up. Three patients could not be followed up throughout the entire study. Four PAH patients that were low-risk (REVEAL Lite score) died; we recorded two deaths unrelated to cardiac conditions (one case from a brain tumor and one case from a domestic accident); one patient presenting intermediate risk of death (7 points) died 5 months after enrollment. One death in the CTEPH group was recorded in a 79 year-old male high-risk patient (ESC/ERS risk assessment). Survival rate (p=0.5804) is presented in Figure 3.

Figure 3

Survival rate at 60 months in PAH and CTEPH cases.

Discussion

In Romania, pulmonary hypertension assessment and management currently occurs at seven designated referral centers. The Romanian National Program for Treatment of Pulmonary Hypertension started in 2008 and remains under development. The incidence of PH cases in our center (5 cases in 2015, rising to a total of 48 targeted therapy cases in 2021) is comparable to previously published data from registries covering several European countries and the USA.31–37

As of 2018, 2967 PAH patients in the largest database (REVEAL Registry) had a mean age of 53±14 years, higher than in our study (46.40±18.64 years), and females outnumbered males,38 consistent with our study in which the proportions were 79.5% vs 60.0%, respectively.

In the present study, an unexpectedly high proportion (84.0%) of PH patients were in WHO functional classes III or IV at the time of their diagnosis, with 68.0% in class III. These results exceed those in the French Pulmonary Hypertension Registry published by Humbert et al.39 Our results might be partially explained by a relative lack of awareness of this disease by practitioners, and patients being slow to present themselves to the medical services.

A notable feature of the current study was the marked prevalence of PAH-CHD (12/25 patients, 48.0%), which is greater than that in a Chinese study published in 2018, where a percentage of 31.07% was reported in the 1.4.4-PAH subgroup.40 Data in a Portuguese registry (2017) exhibited a much lower prevalence (20.9%) for PAH etiology associated with congenital heart disease.41

An additional observation of the current research refers to the lower age of the study group (46.40±18.64 years) compared with data published in some European and US studies that reported greater age at the time of diagnosis.42 Chazova et al reported in 2020 that Russian newly diagnosed PAH patients were significantly younger (45.2±14.9 years) than CTEPH patients (52.6±15.3 years).5 The large number of PAH-CHD patients partially explains such age differences in our study, where 48.0% of all subjects were aged 18 years old, having been referred from the pediatric PH centre based at the same university. Another factor is the limited availability of corrective surgery in congenital heart disease patients in Romania. In our study, PAH-CTD patients were underrepresented, which can be explained by the low number of referrals from rheumatology units, similar to the data published by Radchenko et al in 2019.43

Even though pulmonary endarterectomy is the first-line treatment for CTEPH patients, none of our patients underwent this procedure due to a lack of PEA centers in our country.1,44 Balloon pulmonary angioplasty was performed in our center on two inoperable patients, being the first in Romania (2018). A multidisciplinary team (PH-dedicated clinical cardiologist, interventional cardiologist, anesthesiologist, and cardiac surgeon) assessed the inoperability under the supervision of an experienced external PH team from Poland. The two patients benefitted from BPA while their therapeutical regimen (Riociguat 2.5 mg t.i.d.) was continued.

Assessment of iron deficiency is primarily based on the measurement of serum ferritin and TSAT values, with some limitations.45,46 These parameters can be affected by a variety of factors such as iron stores in the body, chronic diseases with significant inflammatory components, or infections.47 Sonnweber et al pointed out that the levels of serum transferrin receptor (sTFR), the sTFR/log ferritin index (sTFRF) and serum hepcidin can be measured for a more precise description of ID.48

Regarding iron deficiency in different subgroups of pulmonary hypertension patients, the results of our study partially overlap with those of Yu et al (2018), who acknowledged the prevalence of iron deficiency in PAH-CTD patients and its low incidence in CTEPH cases.40 Other studies in which only 4.9% of CTEPH patients were iron deficient contrast with our findings that half of CTEPH patients were iron deficient.49 This high percentage can be explained by the characteristics of our study.

The difference in the mean age in the ID group compared with that of the non-ID patients contrasts with data published by Soon et al for which there was a lower mean age for patients with PAH who were iron-deficient.49 An explanation for this difference may lie in the small sample and heterogeneous PH etiologies in our study, as well as the enrollment of premenopausal women in the Soon et al study vs postmenopausal women in ours. By comparing the mean iron deficiency values between the four PH subgroups, we found that subgroup 1.4.4 had the highest ID as indicated by the lowest ferritin values (14.95±4.14 pmol/L). This finding contrasts with the data published in 2018 by Yu et al who reported the highest prevalence of iron deficiency in PAH-CTD patients.40

PAH patients are frequently iron deficient.50 Oral iron therapy cannot restore normal iron status due to reduced gastrointestinal absorption and a high rate of adverse events.49 Under these circumstances, parenteral iron supplementation is needed as shown by Viethen et al.19,49

Xi et al showed that CTEPH is not associated with iron metabolism.51 Conversely, CTEPH patients are often in the advanced stages of heart failure, for which iron replacement therapy is beneficial.44,45 Based on this information, we took a cautious approach to correcting iron deficiency, taking into consideration possible endothelial dysfunction, intensification of atherosclerosis, and progression of kidney injury.18

Van Empel et al stated that NYHA functional class III and higher rates of heart failure were associated with iron deficiency, results similar to our study in which 75% of ID patients were classified as WHO functional classes III and IV.52 Van Empel et al also reported that iron-deficient patients exhibited 6MWD comparable to that of non-ID patients,52 similar to our results.

Viethen et al showed that in PAH patients, restoring normal iron status was associated with a clinically meaningful improvement in exercise capacity. This benefit was in addition to that provided by specific PAH therapy.19 The results of our study showed that improvement of iron stores was correlated with an increase in walking distance; moreover, after ID correction, after 13.5 months of evaluation, 6MWD increased significantly compared with that at the time of patient recruitment. The effect of iron deficiency on functional capacity, as judged by 6MWD, was observed in all iron-deficient PH groups. However, the greatest benefit of ID correction was observed in the CTEPH subgroup. Medium and long-term survival of iPAH patients is also related to iron status and anemia.53

Study Limitations

We acknowledge that this research has several significant limitations related to its design. It is a retrospective study using available paper-based and electronic data from a single center. It represents a population-based study and is comprised of a small sample from PAH and CTEPH subgroups across Romania. However, the actual incidence of the two PH subgroups in the general population is unknown. A second important limitation arises from the large proportion of PAH-CHD patients (12 out of 25 patients). Data on transferrin saturation, serum hepcidin and soluble transferrin receptor values were not routinely available. Furthermore, hemodynamic follow-up was not available at well-defined intervals due to the inconstant availability of a cardiac catheterization facility.

Despite the inherent limitations (small study, single center, uncontrolled, limited data availability), the present analysis highlights the importance of continued collaborative research between experienced large PH-expert centers and newly organized small facilities.

Conclusion

This study provides the first published data from Romania on the presence of iron deficiency in different subgroups of precapillary PH patients. Patients with PH-CTD (subgroup 1.4.1) have an increased prevalence of iron deficiency compared with other etiologies (subgroups 1.1, 1.4.4, and 4.1).

The results of this study demonstrate that iron deficiency has a negative impact on the functional status (assessed by 6MWD), in specific groups and subgroups of patients with precapillary pulmonary hypertension, albeit not independently nor significant to other known predictors such as age, gender, oxygen saturation, and hemoglobin value.

These data can be integrated with global research and are consistent with phenotypes of patients diagnosed with pulmonary hypertension of different etiologies.