INTRODUCTION
Pulmonary arterial hypertension (PAH) is a progressive disease of the pulmonary vasculature and an important cause of right heart failure and death. Over the years, treatment options for PAH have evolved, leading to substantial improvement in quality of life and outcomes. Currently, several PAH-targeted therapies have been approved to treat PAH and the list is expanding. Present PAH-targeted therapies range from single-drug therapy to triple combination therapies and are selected based on a multiparametric risk assessment and individual patient prognostication. Many of these risk assessments in PAH patients are the sum of several nonmodifiable risk factors such as age, gender, type of PAH and modifiable factors such as comorbidities and symptoms. Large national and international PAH patient registries have been used to derive and validate clinically relevant variables associated with survival, yielding accurate discrimination of mortality at baseline and follow-up. Current European and American guidelines propose multidimensional, dynamic risk stratification based on functional status, exercise capacity, hemodynamics, echocardiography, blood biomarkers and pulmonary function testing.
Most of these risk assessment tools are derived from PAH registries, which are mainly comprised of a Caucasian population and only a small percentage of patients were of Hispanic ethnicity. For example, in the REVEAL registry, less than 10% of the enrolled patients were identified as Hispanics. Very little is known about the Hispanic PAH population with regard to risk assessment, outcomes and response to therapy. In a precision medicine approach, recent cardiovascular disease (CVD) guidelines for heart failure (HF) and systemic hypertension (HTN) have addressed therapies in different ethnical and vulnerable populations with specific recommendations. Presently, no proposed ethnicity-specific management for PAH patients exist. Therefore, it is unknown whether the currently used algorithms to estimate survival apply to different PAH ethnicities at baseline or after initiation of PAH-targeted therapies. This study aimed to investigate if commonly used risk stratification strategies for PAH carry similar prognostic values in Hispanic patients at baseline. Hence, we analyzed data from a single-center Hispanic PAH cohort to validate commonly used prognostication tools (such as the REVEAL score and a modified version of the ESC/ERS 3- and 4-strata models for PAH).
METHODS
Study population
This was a single-center retrospective study conducted in a large referral center, University Medical Center (UMC) at the American Mexican border with access to all advanced PAH-targeted therapies. Of 232 total patients with PAH, 135 Hispanic PAH patients who met the inclusion criteria and were consecutively managed at the University Center between January 2015 and December 2021 were included. Patients were enrolled in this registry as inpatients with outpatient follow-up or as outpatients only. Since the hemodynamic definition of PAH has changed, we used different enrollment criteria before and after 2019. We chose only patients who met the following criteria based on previous and most recent guidelines: (1) treatment-naïve with newly diagnosed PAH, (2) initiation of PAH-targeted therapies within 6 months after diagnosis, (3) mean pulmonary artery pressure >25 mmHg (>20 mmHg after 2019), pulmonary artery wedge pressure <15 and pulmonary vascular resistance (PVR) >3 wood units (PVR > 2 after 2019), (4) exclusion of WHO-group 2, 3, and 4 PH based on past medical history, echocardiography, high-resolution chest imaging, pulmonary function testing, and ventilation perfusion scans. PAH-targeted therapies were reported within 3 months after diagnosis of PAH. Ethnicity was self-reported and extracted from patients' medical records.
Follow-up and outcome definitions
All patients were followed-up with regular outpatient visits after the diagnosis of PAH. Survival was assessed from the date of the initial diagnosis and as a composite endpoint of death or lung transplantation. The survival status was censored in January 2021. All outcomes were retrospectively extracted from medical records. Mortality was based on reviewing the UMC medical record documentation such as discharge summaries.
Study measures
Risk stratification based on European Society of Cardiology (ESC) and European Respiratory Society (ERS) Guidelines:
We categorized patients as low, intermediate, intermediate low, intermediate high, or high risk based on two abbreviated versions of the 2022 European PAH guidelines, including the World Health Organization Functional Class (WHO-FC), 6-min walking distance (6mwd), NT-pro-B-type Natriuretic Peptide (NT-proBNP). Each variable was graded from 1 to 3 or from 1 to 4, and the mean was calculated by dividing the sum of all grades by the number of variables and rounded to the next integer (see Supporting Information).
Risk stratification based on Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL 2.0):
Patients were classified into low-, intermediate-, and high-risk groups based on the REVEAL 2.0 scoring system (see Supporting Information).
Statistical analysis
All variables were assessed for symmetrical distributions. Means and standard deviations were reported for variables with uniform distribution. For asymmetrical variables, the median and interquartile ranges were reported. Table displays data as absolute numbers or percentages. In Table , the data are shown as absolute numbers with percentages. Kaplan–Meier graphs were used to estimate survival during follow-up based on REVEAL 2.0 or ESC risk scores. The log-rank test was used to assess the estimated survival between different risk categories. Receiver operating characteristics curves and corresponding c-statistics to compare discrimination between the risk scores were calculated for REVEAL 2.0, COMPERA 1.0 and 2.0. All analyses were performed using SPSS 29 and GraphPad Prism 8.0.
Table 1 Baseline hemodynamic treatment characteristics, values, medical comorbidities, vital signs, and hospitalization rates.
Variables | All patients baseline (n = 135) |
Median age (years) (IQR) | 57 (15) |
Female [%] | 76 |
BMI | 30.2 (12) |
Medical comorbidities | |
Obesity (BMI > 30) | 41.2% |
Systemic hypertension | 44.0% |
COPD | 8.6% |
Diabetes mellitus | 11.3% |
Chronic kidney disease | 21.5% |
Smoking | 7.1% |
WHO-FC | 56, 65, 14 |
PAH | |
IPAH | 68 (50.4%) |
CTD-PAH | 33 (24.4%) |
CHD-PAH | 28 (20.8%) |
PoPH | 3 (2.2%) |
D&T-PAH | 3 (2.2%) |
mRAP [mmHg] | 9.2 (5.9) |
mPAP [mmHg] | 56 (26) |
PCWP [mmHg] | 9 (3) |
CI [l/min/m2] | 2.3 (0.6) |
SvO2 | 64(8) |
6mwd [meter] | 349 (118) |
NTproBNP [ng/l] | 1932 (3383) |
CKD | 21.5% |
SBP | 109 (15) |
HR | 85 (17) |
All-cause hospitalizations (<6 month) | 6% |
Pericardial effusion | 5% |
% Predicted DLCO < 40% | 12% |
RAP > 20 mmHg (within 1 year) | 8% |
PVR < 5 Wood units | 21% |
Table 2 Stratification into three categories low-, intermediate-and high-risk based on the three risk assessments tools Registry to Evaluate Early and Long-term PAH Disease Management (REVEAL 2.0), Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary (COMPERA 1.0, and COMPERA 2.0).
N (%) | REVEAL 2.0 | COMPERA | COMPERA 2.0 | |
Low | 63 (46.7) | 37 (27.4) | 24 (18%) | |
Intermediate | 20 (14.8) | 76 (56.3) | Low | 49 (36%) |
High | 47 (35%) | |||
High | 50 (37.0) | 22 (16.3) | 15 (11%) |
RESULTS
The median age of this cohort was 57 years (interquartile range [IQR]) 15, of which 76% were female. The database consists of 135 Hispanic patients diagnosed with PAH from 235 patients with PAH. Half of the patients had idiopathic pulmonary arterial hypertension (IPAH50.4%), followed by connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH,24.4%), congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH,20.8%), portopulmonary hypertension (PoPH, 2.2%), and drug- and toxin-induced pulmonary arterial hypertension (D&T-PAH,2.2%). Most patients were classified as WHO-FC III (65, 48%). In addition, 21% of the entire cohort had chronic kidney disease (CKD) based on the KDIGO criteria, 12% had reduced DLCO on initial pulmonary function testing, and 5% had evidence of pericardial effusion on baseline echocardiography. Baseline hemodynamic characteristics, medical comorbidities, NT-proBNP values, vital signs, and hospitalization rates are shown in Table .
At baseline, only four patients (2.9%) were vasoreactive and treated with calcium channel blocker (CCB) therapy, while 46 patients (34%) and 89 patients (66%) were on PAH-targeted monotherapy and combination therapy, respectively. The entire cohort's median follow-up duration was 2.9 years (IQR 1.9–6 years). The observed 1, 3, and 5-year median survival rates were 88%, 78%, and 71%, respectively. Thirty-six patients (26.7%) died during follow-up with a total of 34 deaths(95%) from a known cause: 27 deaths related to PH complications (81%) and 2 deaths (5.5%) from other causes.
Based on REVEAL 2.0 criteria, 63 (47%) patients were in the low-risk category, 20 (15%) were at intermediate risk, and 50 (37%) were at high risk. Stratification according to the modified ERS/ESC 3-strata model Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) 1.0 (described in Supporting Information: ), 37 (27%) were in the low, 76 (56%) intermediate, and 22 (16%) were in the high-risk category. According to the ESC 4-strata model COMPERA 2 (Supporting Information: ), 24 (17.8%), 49 (36.3%), 47 (34.8%), and 15 (11.1%) were in the low, intermediate low, intermediate high-, and high-risk categories respectively. According to the REVEAL 2.0 model, 1-year, 3-year, and 5-year survival rates were 98%, 95%, 90% in the low-risk group, 90%, 79%, 71% in the intermediate-risk group, and 69, 53, 43 in the high-risk group, respectively. One-year, 3-year, and 5-year survival in the low COMPERA category was 97, 89, and 85% and 90%, 83, and 74 in the intermediate category and 57, 47, 34% in the high-risk category, respectively. Stratified according to the ESC 4-strata model, 1-year, 3-year, and 5-year survival were 100%, 96%, 96% in the low-risk group, 100%, 93%, 91% in the intermediate low-risk group, 83%, 69%, 53% in the intermediate high-risk group; and 41%, 10%, 10% in the high-risk group, respectively. Kaplan–Meier survival estimates and log-rank testing showed that all three risk scores provided statistically significant mortality discrimination between the different risk strata (Figure ). The c-statistics for REVEAL 2.0 was 0.77 (confidence interval 0.69–0.86, p < 0.001), 0.64 (confidence interval 0.52–0.78, p = 0.002) for COMPERA 1.0 and 0.79 (confidence interval 0.71–0.83, p < 0.001) for COMPERA 2.0, respectively (see Figure ).
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DISCUSSION
This study aimed to fill a knowledge gap in the outcomes and risk stratification of Hispanic PAH patients, the largest minority group in the United States. This study found that the Hispanic PAH cohort's baseline demographics, functional class, hemodynamics, and PAH-targeted therapies are comparable to non-Hispanic PAH cohorts. We found a higher proportion of patients with PAH-CHD than in other Caucasian-predominant cohorts. Similar to other PAH cohorts, mortality among Hispanic PAH patients remains high. Using the proposed REVEAL 2.0 and 3- or 4- category stratification of the modified ESC/ERS models allows for accurate risk prediction for Hispanic PAH patients at baseline. All risk scores seem to apply broadly to Hispanic PAH population, regardless of PAH subgroup.
Even though some differences exist between the REVEAL and the abridged ESC/ERS risk stratifications, both strategies yield excellent prognostic value in largely Caucasian patients with PAH A significant limitation in all PAH risk scores developed to date is the lack of data differentiating between ethnic minorities. Although epidemiological data for African-American patients with PH and PAH are emerging, there is a significant knowledge gap in the risk stratification and prognosis of Hispanic PAH patients. To date, it is unknown if established PAH-risk predictors are applicable to Hispanic PAH patients. For instance, the REVEAL registry enrolled less than 10% of Hispanic patients, whereas COMPERA did not report race or ethnicity data. The impact of ethnic dissimilarities on cardiovascular disease outcomes is underscored by the fact that despite a similar incidence of CVD risk factors, Hispanics are less likely to develop and die from coronary artery disease This “Hispanic paradox” indicates that sociodemographic factors, dietary intake, and genetic factors might play a significant role in cardiovascular morbidity, and mortality. Genetic differences certainly determine the pathology and response to therapies in PAH Data on outcomes of Hispanic PAH patients are scarce but do not suggest that Hispanic PAH patients have worse outcomes. In fact, one study applying comprehensive clinical phenotyping and genotyping in different PAH cohorts, found a survival benefit in Hispanic PAH patients, after adjusting for multiple variables. Our study showed a higher 5-year survival rate of 71%, compared to the REVEAL registry (65%), the Giessen cohort (59%), and the French cohort (67%).
Several factors may have contributed to this observation. Compared to the REVEAL registry, our cohort consisted only of incident patients, which are prone to survivor bias compared to prevalent cohorts. Furthermore, the REVEAL registry concluded in 2009 before significant changes in PAH therapeutic approaches. Upfront combination of PAH-targeted therapies has demonstrated a reduction in disease progression associated with overall survival benefits in PAH. Sixty-six percent of patients in this cohort were on upfront combination therapy, compared to 56% in REVEAL and 17% in COMPERA. Secondly, the REVEAL and COMPERA cohorts were published 10 and 5 years before this study was conducted. Over this period, data has emerged showing that upfront combination therapy in intermediate and high-risk patients is associated with improved functional class and survival. The majority of patients in this cohort were on mono-therapy and were enrolled between 2015 and 2017. A change in practice patterns with the increasing use of upfront combination therapies may have contributed to the improved survival in this single-center cohort.
Both the REVEAL 2.0 and the ESC/ERS risk scores, as early as 1 year after treatment and throughout the study period of 5 years, accurately differentiated between patients in our cohort with low, intermediate, and high-risk for poor outcomes (see Figure ). Receiver operating characteristics showed that REVEAL 2.0 and COMPERA 2.0 had better sensitivity and specificity to predict 5 year survival, compared to COMEPRA 1.0. In this cohort, the ESC/ERS scores stratified fewer patients in the high-risk category (3-strata model 22, 16%, 4-strata model 15, 11%) compared to the REVEAL 2.0 score (50%, 37%). This difference highlights the inherent bias of both risk tools. While hemodynamic variables provide a more complete clinical assessment and precise risk stratification, this information is not always available. Furthermore, discrimination by gender, WHO-group, hospitalization and renal dysfunction are features unique to the REVEAL score and will lead to different proportions of low and high-risk patients compared to COMPERA. We did not have data on mutation status and no patient in our cohort had an evident family history of hereditary PAH. Compared to the original REVEAL and COMPERA registries, our cohort had a similar proportion of patients with CTD-PAH (24% vs. 24% in REVEAL and 22% in COMPREA) but a higher proportion of patients with CHD-PAH (21% vs. 11% in REVEAL and 4% in COMPERA). How these risk scores apply to Hispanic patients with CHD-PAH is certainly an area that needs further investigation. In the original REVEAL cohort, patients with CHD-PAH did not seem to have a survival advantage, regardless of the type of defect or repair status.
Another considerable difference between REVEAL and COMPERA is that the former score uses weighted variables based on the contribution of each variable to the overall risk. Variables for the original REVEAL formula were calibrated from a cohort of only 9% Hispanic PAH patients and only 12% CHD-PAH Thus, it is possible that the initial risk factor calibration does not translate one-to-one in Hispanic PAH patients.
LIMITATIONS
This study has several limitations, including a relatively small number of patients, single-center retrospective design, lack of a control group and lack of systematic follow-up data that would allow REVEAL and ESC risk score assessments after the initiation of PAH-targeted therapies. Furthermore, our cohort included incident patients only, which are susceptible to survivor bias. To optimize risk prediction, our study was not powered to elucidate which risk factors might carry more weight than others in Hispanic patients.
CONCLUSION
In summary, our study shows that the REVEAL 2.0, the abridged ESC/ERS 3-strata, and the 4-strata risk stratification tools accurately predict outcomes in the treatment of treatment-nave Hispanic patients at baseline. REVEAL 2.0 can be used to determine a treatment strategy when hemodynamic variables are present. For a noninvasive assessment, the 3- and 4-strate ESC/ERS risk tools provide essential information about the clinical trajectory of an individual patient. Risk assessment in PAH is determined by many nonmodifiable risk factors, such as age, gender, and type of PAH, as well as modifiable factors such as comorbidities and symptoms. Future studies are needed to further understand modifiable risk factors based on ethnicity. This will contribute to a personalized medicine approach for the risk stratification and the management of PAH patients.
ACKNOWLEDGMENTS
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
AUTHOR CONTRIBUTIONS
Jose B. Cruz Rodriguez, and Khan O. Mohammad collected data; Kahtan Fadah, and Nils P. Nickel wrote the original manuscript; Debabrata Mukherjee, Haider Alkhateeb, Hernando Garcia, Dan Schuller, and Sandeep Sahay revised the manuscript and provided key feedback and insights. Kahtan Fadah, and Nils P. Nickel analyzed and created figures, tables, and Supporting Information. Nils P. Nickel supervised the project.
CONFLICTS OF INTEREST STATEMENT
Sandeep Sahay declare he is an advisor for Janssen, Bayer, United Therapeutics, Gossamer Bio, Altavant sciences, MERCK; Speaker United Therapeutics, Janssen; Steering committee member for Bayer and Liquidia technologies; Clinical Trial support from Bayer, Janssen, United Therapeutics, Gossamer Bio, Altavant Sciences, Keros; Received Research Grant from United Therapeutics. The remaining authors declare no conflict of interest.
ETHICS STATEMENT
Written informed consent was not required for this study and was performed in accordance with Texas Tech University Institutional Review Board.
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Abstract
Pulmonary arterial hypertension (PAH) is a cardiovascular disease with high mortality rate. Current guidelines propose initiation and escalation of PAH‐targeted treatment based on a goal‐directed approach targeting hemodynamic, functional, and biochemical variables. This approach has been successfully validated in large Caucasian cohorts. However, given the low number of Hispanic patients enrolled in large PAH trials and registries, it is unknown if the same prognostic tools can be applied to this patient population. We analyzed a single‐center outpatient cohort that consisted of 135 Hispanic patients diagnosed with PAH. Baseline characteristics were calculated based on COMPERA, COMPERA 2.0 and REVEAL 2.0 risk scores before the initiation of PAH‐targeted therapies. The survival rate at 1 year after diagnosis was 88% for the entire cohort. The three established risk scores to predict PAH outcomes yielded similar results with reasonable discrimination of mortality in the different risk strata (all p < 0.001). Hispanic patients with PAH have a high mortality rate. Our analysis suggests that guideline proposed risk assessment at baseline yields important prognostic information in this patient population.
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Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
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1 Department of Internal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
2 Department of Internal Medicine, Division of Cardiovascular Medicine, University of California San Diego, San Diego, California, USA
3 Department of Internal Medicine, Texas Tech University Health Sciences Center El Paso, Division of Cardiovascular Medicine, El Paso, Texas, USA
4 Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Mount Sinai Medical Center, Miami Beach, Florida, USA
5 Department of Internal Medicine, Texas Tech University Health Science Center El Paso‐ Transmountain, El Paso, Texas, USA
6 Department of Internal Medicine, Dell Seton Medical Center, University of Texas at Austin, Austin, Texas, USA
7 Houston Methodist Hospital Lung Center, Houston Methodist Hospital, Houston, Texas, USA
8 Department of Internal Medicine, Division of Pulmonary and Critical Care, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA