Children and Adolescents with Pulmonary Arterial Hypertension: Baseline and Follow-Up Data from the Polish Registry of Pulmonary Hypertension (BNP-PL)
Abstract
:1. Introduction
2. Methods
2.1. Design of the BNP-PL Registry—PAH Children Arm
2.2. Diagnostics
2.3. Treatment
2.4. Prevalence, Incidence and Follow-Up
2.5. Statistical Methods
3. Results
3.1. Study Group
3.2. Prevalence, Incidence and Geographic Distribution of PAH
3.3. PAH Classification
3.4. Concomitant Diseases in IPAH and CHD-PAH
3.5. Demographics of Study Patients
3.6. Clinical Presentation at Diagnosis
3.7. Diagnostic Work-up
3.8. Clinical Characteristics of Study Group
3.9. Treatment
3.10. Follow-Up
4. Discussion
4.1. PAH Classification
4.2. Growth in Children with PAH
Author | Publication Year | N | Incidence (N per Million Children) | Prevalance (N per Milion Children) | Diagnosis (%) | Symptoms (%) | Down Syndrome (%) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IPAH | PAH-CHD | IPAH | PAH-CHD | IPAH | PAH-CHD | Other PAH | Fatigue | Excercise Dyspnea | Dyspnea | Chest pain | Syncope | ||||
Moledina [29] | 2010 | 64 | 0.48 | 2.1 | IPAH only | 31 | 31 | 75 | 31 | 4.7 | |||||
Fraisse [12] | 2010 | 50 | 2.2 | 60 | 24 | 16 | 72 | 76 | 7 | 11 | |||||
van Loon [11] | 2011 | 154 | 0.7 | 2.2 | 4.4 | 15.6 | 23 | 72 | 5 | 70 | 43 | 1 | 7 | 18 | |
Barst [4] | 2012 | 216 | 56 | 36 | 8 | 24 | 46 | 9 | 5 | 24 | |||||
del Cerro [22] | 2014 | 142 | 0.49 | 2.9 | 21 | 74 | 5 | 76 | 6.2 | 9.3 | 17 | ||||
Kwiatkowska | 2020 | 80 | 3.6 | 7.8 | 31 | 67 | 2 | 90 | 70 | 20 | 1.25 | 1.25 | 30 |
4.3. PAH-Targeted Therapies
4.4. Comorbidities
4.5. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Eisenmenger’s Syndrome | PAH Associated with Prevalent Systemic-to- Pulmonary Shunts | PAH after Defect Correction | PAH with Small/Coincidental Defects | |
---|---|---|---|---|
N = 16 | N = 15 | N = 15 | N = 8 | |
ASD, n = 11 | 1 (6.25%) | 1 (6.67%) | 1 (6.67%) | 8 (100%) |
VSD, n = 14 | 6 (37.5%) | 3 (20.0%) | 5 (33.3%) | 0 |
AVSD, n = 9 | 3 (18.75%) | 4 (26.67%) | 2 (13,3%) | 0 |
PDA, n = 4 | 3 (18.75%) | 1 (6.67%) | 0 | 0 |
CCHD, n = 16 | 3 (18.75%) | 6 (40.0%) | 7 (46.67%) | 0 |
Disease | All Patients | IPAH | CHD-PAH | P |
---|---|---|---|---|
N = 80 | N = 25 | N = 54 | ||
Hypertension | 2 | 2 | 0 | 0.04 |
Smoking | 1 | 0 | 1 | 0.5 |
Asthma | 2 | 1 | 1 | 0.57 |
Hypothyroidism | 19 | 3 * | 16 * | 0.09 |
Hyperthyroidism | 2 | 0 | 2 | 0.33 |
Atrial flutter | 1 | 0 | 1 | 0.5 |
Down syndrome * | 24 | 2 | 22 | 0.004 |
Mental retardation | 32 | 5 | 27 | 0.01 |
History of acute PE | 1 | 1 | 0 | 0.14 |
Inflammatory bowel disease | 2 | 1 | 1 | 0.57 |
Cardiac stimulation | 1 | 0 | 1 | 0.5 |
Sleep apnea | 1 | 1 | 0 | 0.14 |
Preterm < 36 week | 4 | 3 | 1 | 0.06 |
Characteristics | All (IPAH, CHD-PAH, PoPAH) | IPAH | CHD-PAH | P |
---|---|---|---|---|
N = 80 | N = 25 | N = 54 | ||
Female, n (%) | 40 (50%) | 12 (48%) | 27 (50%) | 0.9 |
Incident cases, n (%) | 10 (12.5%) | 9 (36%) | 1 (1.9%) | <0.0001 |
Age at diagnosis | 5.1 (2.1–8.1) | 5.9 (2.5–8.3) | 4.6 (2.1–7.5) | 0.5 |
Age at enrollment | 10.4 (7.9–15.2) | 9.8 (7.6–11.5) | 11.5 (7.9–15.4) | 0.15 |
Functional class at diagnosis | ||||
I | 9 (11.3%) | 2 (8%) | 7 (12.97%) | 0.5 |
II | 17 (21.3%) | 7 (28%) | 9 (16.67%) | 0.2 |
III | 53 (66.3%) | 16 (64%) | 37 (68.51%) | 0.7 |
IV | 1 (1.3%) | 0 | 1 (1.85%) | 0.5 |
Functional class at enrolment, n (%) | ||||
I | 9 (11.3) | 2 (8%) | 7 (13%) | 0.5 |
II | 46 (57.5) | 13 (52%) | 32 (59%) | 0.5 |
III | 25 (31.3) | 10 (40%) | 15 (28%) | 0.3 |
IV | 0 | 0 | 0 | - |
RHC at diagnosis | ||||
mPAP [mmHg] | 48.0 (37.0–57.0) | 48.0 (39–67) | 48.0 (36–55.5) | 0.54 |
CI [l/min/m2] | 2.9 (1.9–3.9) | 2.6 (1.9–3.6) | 3.2 (2.0–3.9) | 0.86 |
PVR [WU] | 11.1 (7.2–21.3) | 10.4 (6.7–22.9) | 11.9 (7.7–19.6) | 0.88 |
PVRI [WU/m2] | 10.9 (6.5–21.1) | 11.4 (7.9–26.5) | 10.7 (6.4–18.5) | 0.34 |
Clinical characterization at enrolment | ||||
Height for age percentile | 14 (2.75–50.0) | 25.0 (7.0–62.0) | 6.5 (2.0–44.0) | 0.06 |
Weight for age percentile | 22.0 (3.0–50) | 36.0 (17.0–62.0) | 13.5 (3.0–50.0) | 0.08 |
BMI for age percentile | 40.6 (8.0–70.0) | 42.0 (17–62.0) | 36.0 (3.0–75.0) | 0.57 |
6 MWT [m] | 429 (360–500) | 450 (383–524) | 420 (353–469) | 0.46 |
NT-proBNP [ng/L] | 272 (104.6–628.0) | 268.7 (69.2–502.7) | 290.0 (115.8–676.0) | 0.38 |
RAA [cm2] | 14.3 (10.0–19.0) | 12.2 (8.8–14.6) | 16.4 (10.4–20.4) | 0.08 |
Anthropometric measurements in patients without genetic defects | ||||
Height for age percentile | 30.5 (5.0–62.5) | 37 (8.5–64.5) | 26 (3–62) | 0.6 |
Weight for age percentile | 37.5 (6.5–64.8) | 39.5 (17.5–82.0) | 37 (25–62) | 0.4 |
BMI for age percentile | 31.5 (3.5–64) | 43.5 (13.5–72.0) | 20 (3.0–55) | 0.1 |
Anthropometric measurements in patients with genetic defects | ||||
Height for age percentile | 3 (2–9) | 10 (3–25) | 3 (2–7) | 0.3 |
Weight for age percentile | 7.5 (3–31) | 25 (10–25) | 7 (3–37) | 0.5 |
BMI for age percentile | 47.5 (16–77.5) | 35 (25–30) | 50 (12–80) | 0.4 |
Whole Group (IPAH, CHD-PAH, PoPAH) | IPAH | CHD-PAH | P | |
---|---|---|---|---|
N = 80 | N = 25 | N = 54 | ||
PAH-specific therapies: | ||||
Sildenafil [n,%] | 57 (71%) | 18 (72%) | 38 (70.4%) | 0.88 |
Tadalafil [n,%] | 1 (1.3%) | 0 | 1 (1.9%) | 0.50 |
Bosentan [n,%] | 61 (76.3%) | 17 (68%) | 44 (81.5%) | 0.29 |
Treprostinil [n,%] | 3 (3.75%) | 3 (12%) | 0 | 0.009 |
Epoprostenol [n,%] | 0 | 0 | 0 | - |
Riociguat [n,%] | 1 (1.3%) | 1 (4.0%) | 0 | 0.14 |
Ca blocker for PAH | 2 (2.5%) | 2 (8.0%) | 0 | |
PAH-specific monotherapy [n,%] | 36 (45%) | 10 (40%) | 24 (44.4%) | 0.71 |
PAH-specific combination therapy of two drugs [n,%] | 39 (49%) | 10 (40%) | 29 (53.7%) | 0.7 |
Triple combination PAH-specific therapy [n,%] | 3 (3.8%) | 3 (12%) | 0 | 0.01 |
Home oxygen therapy | 2 (2.5%) | 1 (4%) | 1 (1.9%) | 0.57 |
Vitamin K antagonists | 12 (15%) | 6 (24%) | 6 (11.1%) | 0.14 |
Low-molecular heparin | 1 (1.3%) | 1 (4%) | 0 | 0.14 |
Beta blockers | 6 (7.5%) | 3 (12%) | 3 (5.6%) | 0.32 |
ACEI | 17 (21.3%) | 4 (16%) | 13 (24.1%) | 0.42 |
ARB | 1 (1.3%) | 0 | 1 (1.9%) | 0.49 |
Loop diuretics | 10 (12.5%) | 3 (12%) | 7 (13%) | 0.9 |
Thiazide diuretics | 1 (1.3%) | 0 | 1 (1.9%) | 0.49 |
Potassium-sparing diuretics | 40 (50%) | 15 (60%) | 25 (46.3%) | 0.02 |
SSRI | 1 (1.3%) | 0 | 1 (1.9%) | 0.49 |
ASA | 10 (12.5%) | 1 (4%) | 9 (16.7%) | 0.12 |
Proton pomp inhibitors | 1 (1.3%) | 1 (4%) | 0 | 0.14 |
Immunosuppressive drugs | 1 (1.3%) | 0 | 1 (1.9%) | 0.49 |
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Kwiatkowska, J.; Zuk, M.; Migdal, A.; Kusa, J.; Skiba, E.; Zygielo, K.; Przetocka, K.; Werynski, P.; Banaszak, P.; Rzeznik-Bieniaszewska, A.; et al. Children and Adolescents with Pulmonary Arterial Hypertension: Baseline and Follow-Up Data from the Polish Registry of Pulmonary Hypertension (BNP-PL). J. Clin. Med. 2020, 9, 1717. https://doi.org/10.3390/jcm9061717
Kwiatkowska J, Zuk M, Migdal A, Kusa J, Skiba E, Zygielo K, Przetocka K, Werynski P, Banaszak P, Rzeznik-Bieniaszewska A, et al. Children and Adolescents with Pulmonary Arterial Hypertension: Baseline and Follow-Up Data from the Polish Registry of Pulmonary Hypertension (BNP-PL). Journal of Clinical Medicine. 2020; 9(6):1717. https://doi.org/10.3390/jcm9061717
Chicago/Turabian StyleKwiatkowska, Joanna, Malgorzata Zuk, Anna Migdal, Jacek Kusa, Elzbieta Skiba, Karolina Zygielo, Kinga Przetocka, Piotr Werynski, Pawel Banaszak, Alina Rzeznik-Bieniaszewska, and et al. 2020. "Children and Adolescents with Pulmonary Arterial Hypertension: Baseline and Follow-Up Data from the Polish Registry of Pulmonary Hypertension (BNP-PL)" Journal of Clinical Medicine 9, no. 6: 1717. https://doi.org/10.3390/jcm9061717
APA StyleKwiatkowska, J., Zuk, M., Migdal, A., Kusa, J., Skiba, E., Zygielo, K., Przetocka, K., Werynski, P., Banaszak, P., Rzeznik-Bieniaszewska, A., Surmacz, R., Bobkowski, W., Wojcicka-Urbanska, B., Werner, B., Pluzanska, J., Ostrowska, K., Waldoch, A., & Kopec, G. (2020). Children and Adolescents with Pulmonary Arterial Hypertension: Baseline and Follow-Up Data from the Polish Registry of Pulmonary Hypertension (BNP-PL). Journal of Clinical Medicine, 9(6), 1717. https://doi.org/10.3390/jcm9061717