Socioeconomic and racial disparities play a pivotal role in delayed PH diagnosis and treatment outcomes.
Dalton et al. (2024) revealed that patients from disadvantaged backgrounds, particularly Hispanic
populations, experienced higher hospitalization rates and mortality, often due to limited access to
specialized care. Ong (2020) similarly noted that patients from rural or low-income settings faced
disproportionately poor outcomes due to structural barriers.
Talwar et al. (2022) further observed reduced referral rates for Hispanic and African American patients,
resulting in delayed diagnosis and worsened outcomes. Bernardo and Perez (2023) confirmed that
underrepresented minority groups often presented at more advanced disease stages and demonstrated
lower survival rates, even with access to standard care. These studies highlight the urgent need to address
health disparities through equitable referral pathways, early screening, and improved access to care.
Theme 3: Clinical Predictors and Risk Stratification
Advancements in clinical tools have enhanced risk stratification in PH management. Vraka et al. (2023)
emphasized the utility of multiparameter models that integrate clinical, hemodynamic, and imaging data to
classify patients as low, intermediate, or high risk, facilitating targeted decision-making.
Celestin et al. (2024) highlighted the value of echocardiographic markers, such as right ventricular wall
strain, as reliable predictors of disease progression. Similarly, Sonnweber et al. (2023) demonstrated how
machine learning techniques can identify distinct PH phenotypes, offering pathways for personalized
treatment. Ghio et al. (2024) reinforced the predictive value of echocardiographic phenotyping in forecasting
outcomes and guiding long-term care.
Together, these findings reflect a shift toward precision medicine, with clinical predictors and advanced
imaging improving patient stratification and management strategies.
Recommendations for Future Research and
Practice
Future research should prioritize three interrelated areas: reducing diagnostic delays, addressing health
disparities, and advancing risk stratification models. Strategies must include the development of equity-
focused, standardized evaluation pathways to ensure timely diagnosis across diverse populations (Barwise et
al., 2021).
Educational initiatives for primary care providers should emphasize early recognition of symptoms,
expediting referrals for specialist evaluation. Moreover, healthcare systems should integrate socioeconomic
and environmental determinants of health into predictive models to improve generalizability and clinical
applicability (Flaubert et al., 2021).
Finally, the convergence of clinical data, epidemiology, and digital health technologies can generate
actionable insights to inform precision-based care, reduce disparities, and optimize long-term management
of pulmonary hypertension.
Conclusion
This literature review reinforces that early evaluation and intervention in pulmonary hypertension
significantly improve outcomes by reducing disease severity, hospitalizations, and healthcare costs.
Conversely, delayed diagnosis contributes to poor prognoses, higher utilization of acute care, and increased
mortality, particularly among socioeconomically disadvantaged and minority populations.
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