| Literature DB >> 32110383 |
Jenny L Hewes1,2, Ji Young Lee2,3,4, Karen A Fagan1,2,3, Natalie N Bauer1,2.
Abstract
Pulmonary hypertension is a complex, multifactorial disease that results in right heart failure and premature death. Since the initial reports of pulmonary hypertension in the late 1800s, the diagnosis of pulmonary hypertension has evolved with respect to its definition, screening tools, and diagnostic techniques. This historical perspective traces the earliest roots of pulmonary hypertension detection and diagnosis through to the current recommendations for classification. We highlight the diagnostic tools used in the past and present, and end with a focus on the future directions of early detection. Early detection of pulmonary hypertension and pulmonary arterial hypertension and the proper determination of etiology are vital for the early therapeutic intervention that can prolong life expectancy and improve quality of life. The search for a non-invasive screening tool for the identification and classification of pulmonary hypertension is ongoing, and we discuss the role of animal models of the disease in this search.Entities:
Keywords: echocardiography; extracellular vesicles; right heart catheterization
Year: 2020 PMID: 32110383 PMCID: PMC7000867 DOI: 10.1177/2045894019892801
Source DB: PubMed Journal: Pulm Circ ISSN: 2045-8932 Impact factor: 3.017
Updated clinical classification of pulmonary hypertension (2019).
| Group 1: Pulmonary arterial hypertension | Group 2: PH associated with left heart disease | Group 3: PH-associated with lung disease/hypoxia | Group 4: PH due to pulmonary arterial obstructions | Group 5: Miscellaneous |
|---|---|---|---|---|
| 1.1 Idiopathic PAH (IPAH) | 2.1 PH heart failure with preserved LVEF | 3.1 Obstructive lung disease | 4.1 Chronic thromboembolic PH (CTEPH) | 5.1 Haematological disorders |
| 1.2 Heritable PAH (HPAH) | 2.2 PH heart failure with reduced LVEF | 3.2 Restrictive lung disease | 4.2 Other pulmonary obstructions | 5.2 Systemic and metabolic disorders |
| 1.3 Drug/toxin-induced PAH | 2.3 Valvular heart disease | 3.3 Other lung disease (mixed restrictive/obstructive) | 5.3 Others | |
| 1.4 PAH associated with: Connective tissue disease (PH-CTD) HIV infection (PH-HIV) Portal hypertension Congenital heart disease (PH-CTD) Schistosomiasis | 2.4 Congenital/acquired cardiovascular conditions leading to post capillary PH | 3.4 Hypoxia without lung disease | 5.4 Complex congenital heart disease | |
| 1.5 PAH long-term responders to calcium channel blockers | 3.5 Developmental lung disorders | |||
| 1.6 PAH with venous/capillary involvement (PVID/PCH) | ||||
| 1.7 Persistent PH of the newborn syndrome |
Fig. 1.Timeline of major events in the discovery and pathogenesis of pulmonary hypertension.
PH: pulmonary hypertension; HPV: Hypoxic Pulmonary Vasoconstriction; mPAP: mean pulmonary arterial pressure; PVR: Pulmonary Vascular Resistance.
Investigating imaging principles in pulmonary hypertension.
| Imaging principle | Modality | Application | Reference |
|---|---|---|---|
| Radiation | |||
| Chest X-ray | • 90% of PAH patients have abnormal chest radiograph • Allows identification of mild-to-severe lung diseases or pulmonary venous hypertension due to left-heart disease • Degree of PH does not correlate with radiographic abnormalities • Normal radiograph does not rule out PH | Galie et al.,[ | |
| CT scan | • Improved identification of interstitial lung disease from Chest X-ray • Can provide evidence in PVOD • Can improve clarification of CTEPH | Resten et al.,[ | |
| Ultrasound | |||
| M-Mode Echo | • Allows fine measurements with higher temporal and spatial resolutions | Grunig et al.[ | |
| 2D Echo | • Allows structures to be viewed in real time in a cross-section of the heart • Non-invasive measurements of functional and anatomical features of cardiac chambers and major vessels | Howard et al.[ | |
| 3D Echo | • 3D views of structural design | ||
| Doppler echo | • Allows estimation of key hemodynamic and functional parameters such as mPAP and tricuspid annular plane systolic excursion (TAPSE), respectively • Offers estimation of mPAP by measuring PAAT and CO* (with limitations) • Estimation of tricuspid regurgitation • Echo is not sensitive to mild and asymptomatic PH | Howard et al.,[ | |
| Magnetic resonance | |||
| MRI | • Good spatial and high temporal resolution and multiplanar imaging useful in diagnosis and etiology • Offers methods of assessing pulmonary blood flow, PFA (pulmonary blood flow artifact) and vortical blood flow | Frank et al.,[ | |
| Nuclear imaging | |||
| FDG-PET | • Images indicating regions of altered metabolism • Studies show increased FDG uptake in RV and lung parenchyma in PAH patients | Bokhari et al.,[ |
PH: pulmonary hypertension; PAH: pulmonary arterial hypertension; PVOD: Pulmonary Vascular Obstructive Disease; CTEPH: chronic thromboembolic pulmonary hypertension; mPAP: mean pulmonary arterial pressure; FDG: 18-flurodeoxyglucose; RV: Right Ventricle; PAAT: pulmonary artery acceleration time; MRI: magnetic resonance imaging; FDG-PET: 18-flurodeoxyglucose positron emission tomography.
Fig. 2.Diagnostic algorithm for pulmonary hypertension. A simplistic representation of the diagnostic methods used currently to distinguish patients into the most recent classifications (2019) of the five groups of pulmonary hypertension (PH). *Subgroup 3.4 Hypoxia-associated PH patients lack lung disease. **Subgroup 1.6 PAH with venous/capillary involvement and may display unmatched perfusion defects. ***Subgroup 1.5 PAH is differentiated as long-term responders to calcium channel blockers (CCB) following approximately one year of treatment.
ECG: electrocardiogram; TTE: transthoracic echocardiography; HRCT: high-resolution computed tomography, PFT: pulmonary function test; RHC: right heart catheter
Biomarkers in pulmonary hypertension research.
| Biomarker | Patient sample | Control | Key findings | Study |
|---|---|---|---|---|
|
| ||||
| Atrial natriuretic peptide (ANP) | 18 Atrial septal defects 10 IPAH 16 CTEPH | Control patients | ↑ANP in PH Less reliable than BNP | Nagaya et al.[ |
| 9 PPH | Six healthy control | ↑ANP in PH No correlation between ANP and hemodynamic variables | Morice et al.[ | |
| 18 CHD-PH | 21 CHD w/o PH | ↑ANP in CHD-PH compared to CHD w/o PH | Gorenflo et al.[ | |
| Brain natriuretic peptide (BNP) | 18 Atrial septal defects 10 IPAH 16 CTEPH | Control patients | ↑BNP levels in proportion to extent of RV dysfunction in PH | Nagaya et al.[ |
| 34 CTEPH | 12 Control | ↑BNP significantly increased in CTEPH compared to control BNP levels decreased in survivors after PEA | Nagaya et al.[ | |
| N-terminal-pro-b-type natriuretic peptide (NT-proBNP) | 55 Severe PH (36 IPAH) | 9 Control | ↑NT-pro-BNP identified patients with poor prognosis | Fijalkowska et al.[ |
| 65 PAH | None | ↑NT-pro-BNP associated with worse WHO functional class and increased mortality | Al-Naamani et al.[ | |
| 69 PAH | 41 sScl w/o PH | NT-ProBNP levels correlate with severity of PAH and increased risk of sScl developing PAH | Williams et al.[ | |
| 40 PAH 19 CTEPH 2 Miscellaneous (sarcoidosis) | None | ↑NT-pro-BNP across all PH groups Independent predictor of mortality Decreased in survivors medically treated | Andreassen et al.[ | |
| 76 IPAH | None | ↑NT-pro-BNP in IPAH significant predictor of adverse outcome | Nickel et al.[ | |
| 97 PAH | 56 Normal | ↑NT-pro-BNP in PAH | Malhotra et al.[ | |
| Troponin T | 56 PAH 5 CTEPH | None | ↑Cardiac TnT independent marker of increased mortality | Torbicki et al.[ |
| 20 IPAH 30 CTEPH 5 LD-PH | None | Correlation between TnT and 6MWDT distance, RV systolic strain. | Filusch et al.[ | |
| Heart-Fatty Acid Binding Protein (H-FABP) | 93 CTEPH | None | ↑H-FABP independent predictor of adverse outcome Patients with elevated H-FABP had lower probability of event free survival after PEA | Lankeit et al.[ |
|
| ||||
| Asymetric Dimethylarginine (ADMA) | 135 CTEPH | 40 Control 9 Healthy control | ↑ADMA in CHD Lowered in CTEPH after surgery | Skoro-Sajer et al.[ |
| 30 PAH-CHD (children) | 20 CHD without PH 20 Healthy | ↑ADMA in PH-CHD | Sanli et al.[ | |
| 12 PAH 23 CTEPH | 35 Controls | ↑ADMA in CTEPH and PAH | Zhang et al.[ | |
| Nitric oxide synthase | 46 Various PH | 23 Control | ↓NO synthase in PH | Giaid et al.[ |
|
| ||||
| Interleukin-1Beta (IL-1β) | 29 PPH | 9 COPD-PH 15 normal control | ↑IL-1β in PPH Not in COPD-PH | Humbert et al.[ |
| 60 PAH | 21 Control | ↑IL-1β in PAH predicted patient survival | Soon et al.[ | |
| Interleukin-2 (IL-2) | 60 PAH | 21 Control | ↑ in PAH Predicted patient survival | Soon et al.[ |
| Interleukin-4 (IL-4) | 60 PAH | 21 Control | ↑IL-4 in PAH | Soon et al.[ |
| Interleukin-6 (IL-6) | 29 PPH | 15 Control | ↑IL-6 in PPH | Humbert et al.[ |
| 60 PAH | 21 Control | ↑IL-6 in PAH Predicted patient survival | Soon et al.[ | |
| Interleukin-8 (IL-8) | 60 PAH | 21 Control | ↑IL-8 in PAH Predicted patient survival | Soon et al.[ |
| Interleukin-10 (IL-10) | 60 PAH | 21 control | ↑IL-8 in PAH Predicted patient survival | Soon et al.[ |
| Interleukin-12p70 (IL-12p70) | 60 PAH | 21 control | ↑IL-8 in PAH Predicted patient survival | Soon et al.[ |
| CD40 Ligand (CD40L) | 10 sScl-PAH | 20 Control and 40 sScl w/o PH | ↑sCD40L in PAH associated with sScl sCD40L correlated with mPAP (Doppler Echo) | Allanore et al.[ |
| 13 PPH 11 Secondary PH 8 CTEPH | 8 Normal | ↑CD40L in PPH and SPH but not CTEPH compared to control | Damås et al.[ | |
| B-cell lymphoma 2 (BCL2) | 35 PAH (children) | 38 Control children | sBcl-2 were increased in patients with lower 6MWD test | Akin et al.[ |
| Tumor necrosis factor-alpha (TNF-α) | 60 PAH | 21 Control | ↑TNF-α in PAH | Soon et al.[ |
| Growth Differentiation Factor-15 (GDF-15) | 76 IPAH | None | ↑GDF-15 in IPAH is an independent predictor of adverse outcomes | Nickel et al.[ |
| 30 SSc-PAH | 24 SSc w/o PAH 44 IPAH 13 normal | ↑GDF-15 in SSc-PAH patients compared with SSc patient w/o PAH GDF-15 correlated with estimated right ventricular systolic pressure (echocardiogram) and associated with reduced survival | Meadows et al.[ | |
|
| ||||
| Plasma P-selectin | 32 PPH 25 secondary PH | 31 PVH 17 Control | ↑plasma P-selectin in PPH and sPAH compared to PVH and control | Sakamaki et al.[ |
| 44 CTEPH | 22 Control 22 after APTE | ↑plasma P-selectin in CTEPH | Sakamaki et al.[ | |
| Thrombomodulin (TM) | 32 PPH | 25 sPAH 31 PVH 17 Control | ↓TM in PPH compared to other groups | Sakamki et al.[ |
| 44 CTEPH | 22 Healthy subjects 22 After APTE | ↓TM in CTEPH | Sakamki et al.[ | |
| Thromboxa B2 | 65 PAH | None | Higher TX B2 associated with worse WHO functional class | Al-Naamani et al.[ |
| CX3CR1 T-lymphocyte expression and sfkn (CX3CLi) | 7 PAH | 7 Healthy | ↑CX3CR1 T lymphocyte expression | Balabanian et al.[ |
| vonWilliebrand Factor (vWF) | 65 PAH | None | Higher vWF associated with lowed 6MWDtest, worse WHO functional class and increased mortality and transplant | Al-Naamani et al.[ |
|
| ||||
| Platelet Derived Growth Factor (PDGF) | 13 PPH 2 PPH-HIV | 5 Control lung samples | ↑PDGF positive cells in PPH and PPH-HIV | Humbert et al.[ |
| Vascular Endothelial Growth Factor Receptor I (Soluble VEGFR1) | 97 PAH | 56 normal | ↑sVEGFR1 in PAH Correlated with NYHA class | Malholtra et al.[ |
|
| ||||
| soluble endoglin (sEng) | 97 PAH | 56 Normal | ↑sEng in PAH Independent predictor of survival Correlated with NYHA class | Malholtra et al.[ |
| Soluble fms-like tyrosine kinases (flt-1) | 62 IPAH 14 APAH 21 CVD 67 LD-PH 26 PV-PH | 40 Normal | ↑sFlt-1 in all PH groups except PV-PH compared to control | Tiede et al.[ |
| Soluble Placental Growth Factor (PlGF) | 62 IPAH 14 APAH 21 CVD 67 LD-PH 26 PV-PH | 40 Normal | ↑PlGF in all PH groups compared to control | Tiede et al.[ |
|
| ||||
| Circulating Endothelial Progenitor Cell (CEPC) (CD34+/CD133+) | 16 IPAH | 16 Control | ↑CEPC (+CD34+) In PAH | Asosingh et al.[ |
| 26 CHD-PH children | 5 Control children | No increase in CEPC in CHD-PH | Smadja et al.[ | |
| Circulating Endothelial Cell (CEC) (CD 146+) | 16 reversible CHD-PH | 10 irreversible CHD-PH | ↑CEC in irreversible CHD-PH | Smadja et al.[ |
|
| ||||
| Urinary F2-Isoprostane | 110 PAH | None | ↑Urinary F2-Isoprostane associated with increased mortality | Cracowski et al.[ |
|
| ||||
| cyclic Guanosine Monophosphate (cGMP) | 18 CHD-PH | 21 CHD w/o PH | ↑cGMP in CHD-PH | Gorenflo et al.[ |
| Uric acid | 99 PPH 93 Secondary PH | None | Correlation btw natural logarithm of serum Uric Acid and mPAP | Voelkel et al.[ |
| 90 PPH | 30 Normal | ↑UA in PPH compared to control Serum UA correlated with total pulmonary resistance and is independently related to mortality | Nagaya et al.[ | |
| Bilirubin | 37 PAH | None | ↑Bilirubin associated with worse functional classification and increased mortality | Takeda et al.[ |
| Homocysteine | 30 PAH-CHD (children) | 20 CHD w/o PAH 20 Normally | ↑Homocysteine in CHD-PAH | Sanli et al.[ |
| C-reactive protein | 97 PAH | 56 Normal | ↑CRP in PAH | Malholtra et al.[ |
| 104 PAH 79 CTEPH | 95 Normal | ↑CRP in CTEPH and PAH compared to control CRP correlated with NYHA functional class, right atrial pressure, and 6MWDT CRP significantly lowered after successful PEA | Quarck et al.[ | |
| Red blood cell distribution width (RDW) | 162 PH | None | ↑RDW is independently associated with increased mortality in PH | Hampole et al.[ |
PAH: Pulmonary Arterial Hypertension; PH: Pulmonary Hypertension; PAH-CHD: Pulmonary Arterial Hypertension associated w/ Congenital Heart Disease; CTEPH: Chronic Thromboembolic Pulmonary Hypertension; PPH: Primary Pulmonary Hypertension; IPAH: Idiopathic Pulmonary Arterial Hypertension; CVD: Collagen Vascular Disease; LD-PH: Lung Disease associated w/ Pulmonary Hypertension; PV-PH: Pulmonary Venous Pulmonary Hypertension; APAH: Associated Pulmonary Hypertension; PPH-HIV: Primary Pulmonary Hypertension associated w/ Human Immunodeficiency virus; SSc-PAH: Systemic Sclerosis associated w/ Pulmonary Arterial Hypertension.
Extracellular vesicle markers in pulmonary hypertension patient populations.
| EV marker | Patient population | Findings | Reference |
|---|---|---|---|
|
| |||
| CD105 + MP (Endoglin) | 20 PAH | ↑CD105 + MPs in PAH | Bakouboula et al.[ |
| 6 CTEPH | ↑CD105 + MPs in CTEPH | Belik et al.[ | |
| CD62E + MP (E-selectin+) | 24 PH | ↑CD62 + MPs in PH | Amabile et al.[ |
| 21 PAH | Baseline increased CD63 + MPs associated with adverse clinical complications | Amabile et al.[ | |
| CD31+/CD41- MP (PECAM+) | 24 PH | ↑CD31 + MPs in PH Predicted hemodynamic severity | Amabile et al.[ |
| CD31+/CD61 + (Platelet) | 19 PH | ↑CD31+/CD61 + in PH | Diehl et al.[ |
| CD144 + MP (VE-cadherin+) | 24 PH | ↑CD144 + MPs in PH Predicted hemodynamic severity | Amabile et al.[ |
| CD45 + (leukocyte) | 24 PH | ↑CD45 + in PH | Amabile et al.[ |
| CD41 + MPs (platelet) | 24 PH | No change in CD41 + MP in PH | Amabile et al.[ |
| EV characteristics | |||
| TF + MP | 20 PAH | ↑TF + MPs in PAH Correlated with PH severity | Bakouboula et al.[ |
| CD39 + (CD31+CD42b-) (CD31+CD42b+) | 10 IPAH | ↑CD39 + in IPAH | Visovatti et al.[ |
PH: pulmonary hypertension; PAH: pulmonary arterial hypertension; IPAH: idiopathic pulmonary arterial hypertension; MP: microparticle.
Extracellular vesicle markers in pulmonary hypertension animal models.
| EV marker | Animal model | Findings | Reference |
|---|---|---|---|
| CD31+/CD42b- MP | Monocrotaline PH rat | ↑CD31+/CD42B- in PH model Reduced after therapeutic treatment | Chen et al.[ |
| CD61 + MP | Chronic hypoxia | ↑CD61 + in hypoxia vs. normoxia rats | Tual-Chalot et al.[ |
| Erythroid + MP | Chronic hypoxia | ↑Erythrocyte-derived MP in hypoxia vs. normoxia rats | Tual-Chalot et al.[ |
| CD45 + MP | Chronic hypoxia | No change in CD45 + MP | Tual-Chalot et al.[ |
| CD54+ | Chronic hypoxia | No change in CD45 + MP | Tual-Chalot et al.[ |
| Total EVs | Sugen5416/hypoxia PAH rat | ↑Total EV | Blair et al.[ |
| Chronic hypoxia | ↑Total EV | Tual-Chalot et al.[ | |
| Monocrotaline PH mice | ↑Total EV | Aliotta et al.[ |
PH: pulmonary hypertension; EV: extracellular vesicle; MP: microparticle; PAH: pulmonary arterial hypertension.
Fig. 3.Timeline of major events in pulmonary hypertension experimental models.